lab of bioproducts department of microbiology institute … · luiziana ferreira da silva lab of...
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Luiziana Ferreira da SilvaLab of BioproductsDepartment of MicrobiologyInstitute of Biomedical SciencesUniversity of Satildeo Paulo - Brazil
Microbial GeneticsBiotechnology ndash Microbial anticancer compounds
Nitrogen Biological Fixation in sugarcane
Bacterial MetabolismBacterial products ndash biopolymers biosurfactants
Bacterial MetabolismBiotechnology ndashbacterial biopolymers
Microbial ecology Plant-microorganism interactionsBiotechnology
Harmfull effects Human
Animals
Agriculture
Environment
BenefitsMedicine
Pharmaceutical industry
Food Industry
Agriculture
Environment
Roles of microbiomes
Studies in humansSkin protection
Obesity-associated gut microbiome
Brain development amp behavior
Faecal bacteriotherapy in the treatment of recurrent C dificilediarrhea
Roles to plant and animals
A number of new surveys are helping scientists understand the many ecosystems our bodies offer to microbes and their interactions
A relevant part of our society is still unaware about the benefits and the contribution to our lives that were achieved because of the action of microorganisms
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Microbial GeneticsBiotechnology ndash Microbial anticancer compounds
Nitrogen Biological Fixation in sugarcane
Bacterial MetabolismBacterial products ndash biopolymers biosurfactants
Bacterial MetabolismBiotechnology ndashbacterial biopolymers
Microbial ecology Plant-microorganism interactionsBiotechnology
Harmfull effects Human
Animals
Agriculture
Environment
BenefitsMedicine
Pharmaceutical industry
Food Industry
Agriculture
Environment
Roles of microbiomes
Studies in humansSkin protection
Obesity-associated gut microbiome
Brain development amp behavior
Faecal bacteriotherapy in the treatment of recurrent C dificilediarrhea
Roles to plant and animals
A number of new surveys are helping scientists understand the many ecosystems our bodies offer to microbes and their interactions
A relevant part of our society is still unaware about the benefits and the contribution to our lives that were achieved because of the action of microorganisms
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Harmfull effects Human
Animals
Agriculture
Environment
BenefitsMedicine
Pharmaceutical industry
Food Industry
Agriculture
Environment
Roles of microbiomes
Studies in humansSkin protection
Obesity-associated gut microbiome
Brain development amp behavior
Faecal bacteriotherapy in the treatment of recurrent C dificilediarrhea
Roles to plant and animals
A number of new surveys are helping scientists understand the many ecosystems our bodies offer to microbes and their interactions
A relevant part of our society is still unaware about the benefits and the contribution to our lives that were achieved because of the action of microorganisms
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Roles of microbiomes
Studies in humansSkin protection
Obesity-associated gut microbiome
Brain development amp behavior
Faecal bacteriotherapy in the treatment of recurrent C dificilediarrhea
Roles to plant and animals
A number of new surveys are helping scientists understand the many ecosystems our bodies offer to microbes and their interactions
A relevant part of our society is still unaware about the benefits and the contribution to our lives that were achieved because of the action of microorganisms
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
A relevant part of our society is still unaware about the benefits and the contribution to our lives that were achieved because of the action of microorganisms
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Country extension
Various climates
Different environments
Different crops cultivated
Variable and heterogeneous natural microbiota
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
New species discovered
New genes
Generation of bioproducts
Platforms for alternative products or alternative routes
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Nitrogen fixing bacteria
Antitumoral agents
Endophytes
Biopolymers
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
1986 isolated from Brazilian Savannah (cerrado) a
soil showing high acidity low levels of N and organic matter ndashBarbosa et al 1986 Barbosa amp Carvalhal 1988
Physiologic characteristics related to the environment were studied in this bacterium
bull Nitrogen fixing ability under adverse conditions low pH and underhigh concentrations of toxic compounds
bull Role of exopolysaccharide in protecting the nitrogenase from oxygendeleterious effects
bull Stimulation of other bacteria in N-free mediumbull Liberation of aminoacids in N-free culture mediumbull Cyanophicin like intracelular reserves
DrHeloiza R Barbosa
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
B derxii pure amp associate cultures
E coli pure amp associate cultures
Stimulating both heteroand autothrophs usuallypresent in soil
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Nitrogenated reserve granulesCyanophycin-likeUnder study
Biotechnological applicationsPurified granules can be chemically converted to a derivative with reduced arginine content or to completely biodegradable poly(aspartic acid) which can be used as a substitute for nonbiodegradable polyacrylateswith many technical and medical applications
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Production of antitumoral agents
Polyketydes (PKS)
DrGabriel Padilla
Gonccedilalves de Lima et al 1969Retamycin
Anthracyclines are active against bull breast cancerbull lymphomas bull acute leukemiasbull neuroblastomasbull bone and soft-tissue
sarcomas
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Studies on the mechanism of action
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Chemical structures of cosmomycinsproduced by Streptomyces olindensis
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Garrido LM1 Lomboacute F Baig I Nur-E-Alam M Furlan RL Borda CC Brantildea A Meacutendez C Salas JA Rohr J Padilla G
Genetic organization of the sequenced DNA region and constructs used for the generation of the different mutants The black triangle indicates the apramycinresistance cassette Restriction sites indicated with an asterisk are not unique sites SaSau3AI NcNcoI BaBamHI NrNruI
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Chemical structures of compounds isolated from Streptomyces olindensisΔcosK (a) and S olindensisΔcosG (b)
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Proposed pathway for glycosylation events in cosmomycin D biosynthesis
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
DrWelington L Araujo
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Characterization of mutants
a-1
a-2
a-3
b-1
b-2
c-1
c-2
d e
f
g
h
Random mutagenesis to identify genes related to biosynthetic pathway
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
KS AT P
P TEPKSi 10
2069 aa
KS AT DH ER KR P
P
PKSi 5
2585 aa
KS AT TEP
P
PKSi 11
2037 aa
KS AT P
P
P
P M H PPKSi 12
2637 aa
KS ATD
HM KR P
P C A RP
P
PKS-NRPS (PKSi6)
3981 aa
K
S
PKSIII
406 aa
PKSi 2KS AT M (ER)
K
RP
P
D
H
2262 aa
KS ATD
HM KR P
P
PKSi 1
2515 aa
KS AT DH MD
HKR P
P
PKSi 3
2576 aa
P
PKS ATD
HKR
PKSi 4
1777 aa
KS ATP
P
P
P TEPKSi 7
2145 aa
P
PKS AT DH M ER KRPKSi 8
2488 aa
P
PKS AT M RPKSi 9
2576 aa
K
S
A
T
K
R
D
H
E
R
T
E
M
P
P
H
P
R
Ketosynthase domain
Acyl transferase domain
Ketoreductase domain
Dehidrathese domain
Enoil reductase domain
Thioesterase domain
Methyltransferase domain
Acyl Carrier protrein domain
Hydrolase domain
Acyl CoA reductase domain
Ketosynthase domain
13 hypothetical PKS clusters identified in the E nigrum P16 genome Aminoacid numbers and domain positions are in scale
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Epicolactone
New metabolite from Epicoccum nigrum
Associated to microbial control
Two PKS regulators were identified
Identification of the PKS gene cluster
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Dr J Gregoacuterio C Gomez Dr Luiziana F Silva
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
PHA are accumulated as intracelular granules by bacteria
C4 amp C5
Short-chain length monomers
PHA scl
C6 amp C12
Medium-chain length
monomers PHA mcl
Naturally PHA-accumulating bacteria produce eitherPHAscl or PHAmcl in large amounts
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Monomer composition is responsible for PHA properties and applications
730
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Features influencing PHA monomer composition
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Isolation amp evaluation of soil bacteria on the ability to produce PHB
from Sucrose Glucose and Fructose
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Table 2 Production of P(3HB-co-3HV) from glucose plus propionic acid
Residual PHA
Strains CDWc
(gL)Carbohydrates
()
CDWc3HB
mol
3HV
molY3HVPrp
b
A eutrophus DSM 54 392 00 714 961 39 013
A latus DSM 1123 095 1018 146 550 450 007
Pcepacia DSM 50181 335 19 384 973 27 004
IPT-040 377 17 323 971 29 005
IPT-044 392 17 511 971 29 007
IPT-045 373 00 494 962 38 008
IPT-048 297 00 443 962 38 006
IPT-055 427 722 15 1000 00 000
IPT-056 360 313 309 985 15 002
IPT-076 506 19 568 971 29 010
IPT-083 489 52 568 969 31 010
IPT-086a 206 75 390 899 101 009
IPT-098 590 00 177 947 53 007
IPT-101 298 418 323 954 46 005
Gomez et al 1996
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Improvement to
incorporate 3HV units
Strain Phenotype
strategy
3HB
mol
3HV mol
Y3HVprp
gg
B sacchari wild type 938 62 010
189 prp UV mutant 436 564 090
189 Sucrosepropionatefeeding rates
920 180 127
Y3HVprp = 3HV yield from propionic acid
Maximum theoretical yield = 135 gg
P3HB-co-3HV from sucrose and propionic acid
3HB C4-monomer PHA
3HV ndash C5
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Inactivation on the propionate
catabolic pathway
2MCC = 2 methyl citrate cycle
prpR
ORF1 ORF3 ORF4 ORF5ORF6 ORF7 ORF8 ORF9ORF2
prpB prpC acnM
EcoRIEcoRI EcoRIEcoRI
EcoRI
SalISalI
4 kbp 29 kbp 2 kbp 9 kbp
A
B
putative lipoprotein
52 bp
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
3HV content is dependent on propionic acid concentration
acnMprpC deletion
2MCC is more operative
at low prp concentrations
A second prp catabolic
pathway do exist
Control on 3HV content
Sucrosepropionic ratio in the feeding media
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
SucroseGlucoseXyloseGlycerolFatty acidsPlant oilsSoybean molassesOthers
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Improving product yields inbiotechnological processes
bullKnockout or gene overexpression is noguarantee of success
bullA better knowledge of the metabolismis needed to engineer metabolism andimprove biotechnological processes
Vallino amp Stephanopoulos 1992
Metabolic engineering
advanced analytical tools to identify appropriate targets for genetic modifications
mathematical models to perform in silico design of optimized cell factoriesNielsen amp Jewett 2008 FEMS Yeast Res
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Fluxes analysis is representative ofthe phenotype ofbiotechnologicalinterest
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
C (negligible)
dCdt = 0 (steady state)
Metabolic pathwayanalysis
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Fluxes distribution for PHA productionby Pseudomonas sp from glucose
Optimal fluxes distribution for PHA productionby Pseudomonas sp from glucose
PHAmcl
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
049
048
001
165
PHA production by wild type B sacchari Fluxes under the theoretical
maximum global PHA yield
049
001
173
124116
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
Brazilian biodiversity as newplatforms
GlucoseXyloseGlycerolFatty acidsPlant oilsSoybeanmolasses
Pseudomonas spB sacchariE coliPlatforms for
PHARhamonolipids13-PropanediolOthers
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical
NWO
MES-Cuba
TUDelft
JGregoacuterio C GomezLuiziana F SilvaMarilda Keico TaciroKarel Olavarria GamezRogeacuterio S GomesJohana K Bocanegra-RodriguezThatiane T MendonccedilaGabriela C LozanoLinda P Guaman BautistaLiege A KawaiLucas Garbini CespedesDiana Carolina Tusso PizonBernardo Ferreira CamiloKelli Lopes RodriguesCesar W Guzman MorenoRafael NahatCarlos Thandara Garcia RavelliJuliano CherixEdmar Ramos de Oliveira FilhoRuben Sanchez (UENF)Aline Carolina C LemosAlexandre A AlvesAelson L Santos
Karen L AlmeidaOdalys Rodriguez GamezArelis Abalos RodriguezJhoanne Hansen
Amanda B Flora
Galo A C Le Roux - EPUSPCarlos A M RiascosPaulo AlexandrinoAndreacute Fujita IME USPJuliana Cardinali Rezende
Andreas K Gombert (UNICAMP)Walter M van GulikAljoscha WahlReza Maleki SeifarJ J (Sef) HeijnenKirsten Steinbusch ndash Waste2ChemicalNiels van Stralen ndash Waste2Chemical