omega-3: new opportunities for the canola industry - ag … · omega-3: new opportunities for the...
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www.nuseed.com www.grdc.com.au www.csiro.au
IRC, Saskatoon 2015 | James Petrie, CSIRO | 2
• Marine: long-chain EPA, DPA, DHA (C20, 22)
– Strong health benefits – Microalgal primary production
• Plants: short-chain ALA, SDA (C18) – Limited health benefits – Low conversion, especially to DHA
Long-chain vs short-chain omega-3?
IRC, Saskatoon 2015 | James Petrie, CSIRO | 3
Increasing demand from: • Ageing populations • High-growth economies • Dietary supplement
markets (especially preventative health)
• Pharmaceutical pipeline
Why long-chain omega-3?
IRC, Saskatoon 2015 | James Petrie, CSIRO | 4
Long-chain omega-3 supply vs demand
530
2550
1020 650
[VALUE]
1920 1920
0
500
1000
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2000
2500
3000
3500
4000
4500
5000‘0
00 to
nnes
Ocean capacity
GOED and FAO data
Japan model
Mortality model
WHO model
Rx Prescribed Intake (3550mg/day)
Supply Demand models
IRC, Saskatoon 2015 | James Petrie, CSIRO | 5
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Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
IRC, Saskatoon 2015 | James Petrie, CSIRO | 8
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
IRC, Saskatoon 2015 | James Petrie, CSIRO | 11
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
Finding the right gene combination
Australian National Algae Culture Collection
IRC, Saskatoon 2015 | James Petrie, CSIRO | 14
IRC, Saskatoon 2015 | James Petrie, CSIRO | 15
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
A sustainable, land-based platform
Canola: • High quality and healthy oil • Commercially available in
multiple regions • Canada/US/AUS >10M Ha • Decades of breeding and
commercial optimization • Efficient plant, high oil yield
IRC, Saskatoon 2015 | James Petrie, CSIRO | 16
IRC, Saskatoon 2015 | James Petrie, CSIRO | 17
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
• Gene orientation and spacing • Promoter strengths • Promoter-gene combinations • Timing of pathway expression • Avoiding gene silencing
• How do you test the possibilities?
Lots of possible construct designs
21st ISPL July 7-11, 2014
Testing seed constructs rapidly in leaf
IRC, Saskatoon 2015 | James Petrie, CSIRO | 20
• LEAFY COTYLEDON2 (LEC2) expression triggers embryogenesis • Co-infiltrating a seed construct with LEC2 activates seed
promoters in leaf
Seed Construct Samples
35S mix Minus LEC2 Plus LEC2
SDA 2.0 ± 0 0.9 ± 0.1 1.2 ± 0.1
EPA 0.3 ± 0 - 0.6 ± 0
DPA 2.3 ± 0 - 1.7 ± 0.1
DHA 2.5 ± 0.1 - 2.5 ± 0.2
Progressing from model species to crops
Elements • FP1: B. napus truncated napin • FAE1: A. thaliana Fatty Acid Elongase 1 • Cnl1, Cnl2: L. usitatissimum conlinin
MAR: Matrix attachment regions • TMV transcriptional leader as 5’ UTRs
IRC, Saskatoon 2015 | James Petrie, CSIRO | 21
Progression from research to crops
16:0 18:1 LA ALA SDA EPA DPA DHA
Arabidopsis 8.1 12.5 29.1 18.3 - - - -
- DHA (T3) 10.6 4.6 5.6 31.0 5.3 1.9 1.1 13.3%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 22
Progression from research to crops
16:0 18:1 LA ALA SDA EPA DPA DHA
Arabidopsis 8.1 12.5 29.1 18.3 - - - -
- DHA (T3) 10.6 4.6 5.6 31.0 5.3 1.9 1.1 13.3%
Camelina 8.0 9.8 18.1 38.2 - - - -
- DHA (T7) 8.8 4.7 8.3 27.8 5.4 6.9 1.6 13.7%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 23
Progression from research to crops
16:0 18:1 LA ALA SDA EPA DPA DHA
Arabidopsis 8.1 12.5 29.1 18.3 - - - -
- DHA (T3) 10.6 4.6 5.6 31.0 5.3 1.9 1.1 13.3%
Camelina 8.0 9.8 18.1 38.2 - - - -
- DHA (T7) 8.8 4.7 8.3 27.8 5.4 6.9 1.6 13.7%
B. juncea 4.5 45.0 28.1 12.2 - - - -
- DHA (T3) 6.2 12.0 10.2 26.9 3.0 2.3 1.6 17.5%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 24
Testing seed constructs rapidly in canola
IRC, Saskatoon 2015 | James Petrie, CSIRO | 26
• LEAFY COTYLEDON2 (LEC2) expression triggers embryogenesis • Co-transforming a seed construct with LEC2 stimulates somatic
embryogenesis • Embryos are predictive of mature seed function and profile
Stable, multi-gene construct design
Elements • FP1: B. napus truncated napin • FAE1: A. thaliana Fatty Acid Elongase 1 • Cnl1, Cnl2: L. usitatissimum conlinin
MAR: Matrix attachment regions • TMV transcriptional leader as 5’ UTRs
IRC, Saskatoon 2015 | James Petrie, CSIRO | 27
IRC, Saskatoon 2015 | James Petrie, CSIRO | 28
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
Germplasm selection is important
0
5
10
15
20
25
Copy
num
ber i
n pr
imar
y tr
ansf
orm
ants
Germplasms
Copy number by Germplasm
IRC, Saskatoon 2015 | James Petrie, CSIRO | 29
Germplasm selection is important
0
5
10
15
20
25
Copy
num
ber i
n pr
imar
y tr
ansf
orm
ants
Germplasms 0
1
2
3
4
5
6
7
DHA
%
Germplasms
Copy number by Germplasm T0 DHA by Germplasm (1-2 copy)
IRC, Saskatoon 2015 | James Petrie, CSIRO | 30
Gene dosage in complex constructs
0
1
2
3
4
5
6
DHA
%
Copy number by digital PCR
T0 DHA vs Copy number
0
2
4
6
8
10
12
14
16
18
DHA
%
Seed Generation
DHA by Generation (1-2 copies)
1 2 3 T0 T1 T2
IRC, Saskatoon 2015 | James Petrie, CSIRO | 31
The new canola oil profile
16:0 18:1 LA ALA SDA EPA DPA DHA
Parent 1 5.3 44.0 18.6 22.2 - - - -
Parent 2 4.3 72.2 14.0 2.5 - - - -
IRC, Saskatoon 2015 | James Petrie, CSIRO | 32
The new canola oil profile: fish oil-like DHA
16:0 18:1 LA ALA SDA EPA DPA DHA
Parent 1 5.3 44.0 18.6 22.2 - - - -
Parent 2 4.3 72.2 14.0 2.5 - - - -
Low copy 6.0 28.1 7.0 27.5 4.6 0.5 0.8 12.3%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 33
The new canola oil profile: plus a bit more
16:0 18:1 LA ALA SDA EPA DPA DHA
Parent 1 5.3 44.0 18.6 22.2 - - - -
Parent 2 4.3 72.2 14.0 2.5 - - - -
Low copy 6.0 28.1 7.0 27.5 4.6 0.5 0.8 12.3%
High copy 5.3 24.4 6.8 25.1 5.9 0.8 1.2 19.3%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 34
The new canola oil profile: is flexible
16:0 18:1 LA ALA SDA EPA DPA DHA
Parent 1 5.3 44.0 18.6 22.2 - - - -
Parent 2 4.3 72.2 14.0 2.5 - - - -
Low copy 6.0 28.1 7.0 27.5 4.6 0.5 0.8 12.3%
High copy 5.3 24.4 6.8 25.1 5.9 0.8 1.2 19.3%
SDA/DHA 5.0 23.8 9.5 35.0 9.7 0.4 0.0 4.5%
IRC, Saskatoon 2015 | James Petrie, CSIRO | 35
The new canola oil profile: is flexible
16:0 18:1 LA ALA SDA EPA DPA DHA
Parent 1 5.3 44.0 18.6 22.2 - - - -
Parent 2 4.3 72.2 14.0 2.5 - - - -
Low copy 6.0 28.1 7.0 27.5 4.6 0.5 0.8 12.3%
High copy 5.3 24.4 6.8 25.1 5.9 0.8 1.2 19.3%
SDA/DHA 5.0 23.8 9.5 35.0 9.7 0.4 0.0 4.5%
Total Omega-3: 48.1% Total LC Omega-3: 16.0% Total Omega-6: 7.4% Total LC Omega-6: 0.1% Omega-3:6 ratio: 6.5 : 1 LC Omega-3:6 ratio: 135:1
IRC, Saskatoon 2015 | James Petrie, CSIRO | 36
DHA is targeted to TAG sn-1,3 position(s)
IRC, Saskatoon 2015 | James Petrie, CSIRO | 37
sn-1,3 DHA
sn-2 DHA
DHA synthesis during seed development
0.01
0.1
1
10
100
1000
10000
10 20 30 40 50 60
mg
/ see
d
Days after flowering
DHA
ALA Total FA
IRC, Saskatoon 2015 | James Petrie, CSIRO | 38
DHA canola seed lipid classes look normal
TAG
DAG
FFA
PC
PE
PA
PI
MGDG
DGDG
Non-lipid
Parent
IRC, Saskatoon 2015 | James Petrie, CSIRO | 39
DHA canola seed lipid classes look normal
TAG
DAG
FFA
PC
PE
PA
PI
MGDG
DGDG
Non-lipid
Parent DHA canola
IRC, Saskatoon 2015 | James Petrie, CSIRO | 40
Genes Combinations
Crop
Plant Transformation Field
DNA Constructs
IRC, Saskatoon 2015 | James Petrie, CSIRO | 41
Does it work in the field? Yes
• Field and glasshouse DHA levels are correlated.
• Field trials are ongoing including yield and oil content trials.
IRC, Saskatoon 2015 | James Petrie, CSIRO | 43
R² = 0.027
0
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18
0 2 4 6 8 10 12 14 16 18
Fiel
d Si
te 1
(% D
HA)
Glasshouse (% DHA)
Does it work in the field? Yes
IRC, Saskatoon 2015 | James Petrie, CSIRO | 44
1 Ha of canola at 12% is the DHA yield from 10,000 fish