toby bruce applications of understanding insect chemical ecology -2017

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Rothamsted Research where knowledge grows Applications of understanding insect chemical ecology PROF TOBY BRUCE

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Page 1: Toby bruce   applications of understanding insect chemical ecology -2017

Rothamsted Researchwhere knowledge grows

Applications of understanding insect chemical ecology

PROF TOBY BRUCE

Page 2: Toby bruce   applications of understanding insect chemical ecology -2017

Chemical Ecology

Chemicals that insects use to communicate with each other, and

sense the world around them…

OCOC3H7

OCOC3H7

Page 3: Toby bruce   applications of understanding insect chemical ecology -2017
Page 4: Toby bruce   applications of understanding insect chemical ecology -2017
Page 5: Toby bruce   applications of understanding insect chemical ecology -2017
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Collection of volatiles

(Headspace sampling)

Bioassay (naturals)

GC linked electrophysiology

GC-MS identification of biologically relevant compounds

Field testing (trapping experiments or plot trials)

Bioassay (synthetics)

Chemical Ecology

Page 7: Toby bruce   applications of understanding insect chemical ecology -2017

VOLATILE COLLECTION

Page 8: Toby bruce   applications of understanding insect chemical ecology -2017

Collection of volatiles

(Headspace sampling)

Bioassay (naturals)

GC linked electrophysiology

GC-MS identification of biologically relevant compounds

Field testing (trapping experiments or plot trials)

Bioassay (synthetics)

Chemical Ecology

Page 9: Toby bruce   applications of understanding insect chemical ecology -2017

BIOASSAY

insect released in the centre

Record time spent in different parts

Record flight / settlement on target

Olfactometer

Wind-tunnel

Page 10: Toby bruce   applications of understanding insect chemical ecology -2017

Collection of volatiles

(Headspace sampling)

Bioassay (naturals)

GC linked electrophysiology

GC-MS identification of biologically relevant compounds

Field testing (trapping experiments or plot trials)

Bioassay (synthetics)

Chemical Ecology

Page 11: Toby bruce   applications of understanding insect chemical ecology -2017

GC-EAG RECORDING

Page 12: Toby bruce   applications of understanding insect chemical ecology -2017

Collection of volatiles

(Headspace sampling)

Bioassay (naturals)

GC linked electrophysiology

GC-MS identification of biologically relevant compounds

Field testing (trapping experiments or plot trials)

Bioassay (synthetics)

Chemical Ecology

Page 13: Toby bruce   applications of understanding insect chemical ecology -2017

How can we use this?

Page 16: Toby bruce   applications of understanding insect chemical ecology -2017

MONITORING SYSTEMS

Page 17: Toby bruce   applications of understanding insect chemical ecology -2017

Orange wheat blossom midge

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Bruce et al. (2007) Pest Man. Sci. 63: 49

OCOC3H7

OCOC3H7

2,7-nonanediyl dibutyrate

Using the smell of sex!

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Decision support system for OWBM

Bruce & Smart (2009) Outlooks Pest Management 20: 89-92

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PUSH-PULL

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maize yields up from 1 t/ha up to 3.5 t/ha

achieved with minimal inputs to date adopted > 90,000 smallholder farmers in East Africa

“Push-Pull”

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1= (E)-ß-ocimene; 2= α-terpinolene; 3= β-caryophyllene; 4= humulene; 5= (E)-4,8-dimethyl-1,3,7-nonatriene; 6= α-cedrene; 7= hexanal; 8= (E)-2-hexenal; 9= (Z)-3-hexen-1-ol; 10= (Z)-3-hexen-1-yl acetate ; 11= 5,7,2 ,4 -tetrahydroxy-6-(3-methylbut-2-′ ′

enyl)isoflavanone (uncinanone A); 12= 4 ,5 -dihydro-5,2 ,4 -trihydroxy-5 -′′ ′′ ′ ′ ′′

isopropenylfurano-(2 ,3 ;7,6)-isoflavanone ′′ ′′(uncinanone B);

13= 4 ,5 -dihydro-2 -methoxy-5,4 -dihydroxy-5′′ ′′ ′ ′ ′-isopropenylfurano-(2 ,3 ;7,6)-isoflavanone ′ ′′ ′′

(uncinanone C), and 14= di-C-glycosylflavone 6-C-α-L-

arabinopyranosyl-8-C-β-D-glucopyranosylapigenin.

Khan et al. (1997) Nature 388: 631-632Khan et al. (2010) J. Exp. Bot. 61: 4185

“Push-Pull”

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PLANTS THAT RESPOND BETTER (INDUCED DEFENCE)

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0

10

20

30

40

50

60

70

-1 4 9 14 19 24

time after release (h)

% s

ettle

men

t

controlcis-jasmone

cis-jasmone

O

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Bruce et al. (2003) Pest Management Science 59: 1031 – 1036

O

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0

0.2

0.4

0.6

0.8

1

1.2

28-May 8-Jun 16-Jun 24-Jun 6-Jul

Mea

n N

o. A

phid

s / T

iller

*

*

control

cis-jasmone

P = 0.036

Bruce et al. (2003) Pest Management Science 59: 1031 – 1036

cis-jasmone

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Arabidopsis - Myzus persicae – Aphidius ervi

Bruce et al. 2008 PNAS 105: 4553-4558

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MI PS Nr. Putative function Log2(R/G) At5g22140 Putative protein -2 At2g44130 F-box protein -1.83 At2g04870 Hypothetical protein -1.61 At1g21310 Hypothetical protein -1.44 At3g28740 Cytochrome P450 -1.42 At1g55920 Serine acetyltransferase -1.4 At5g44030 Cellulose synthase catalytic subunit -like -1.4 At2g28330 Hypothetical protein -1.34 At3g05110 Hypothetical protein -1.32 At1g78380 Glutathione S-transferase, similar to -1.32 At2g29490 Putative Glutathione S-transf erase -1.29 At1g55920 Serine acetyltransferase -1.28 At5g24610 Putative protein -1.28 At5g14730 Putative protein -1.27 At4g39290 Putative protein -1.27 At5g21940 Putative protein -1.26 At1g78380 Similar to glutathione S-transf erase -1.25 At1g21310 Hypothetical protein -1.24 At1g69980 Hypothetical protein -1.23 At3g16920 Basic chitinase, putative -1.22 At4g12470 pEARL 1-like protein -1.2 At3g13750 Galactosidase putative -1.19 At1g76690 12-oxophytodienoate reductase (OPR1/ 2) -1.19 At3g25910 Unknown protein -1.18 At3g02300 Unknown protein/ chromatin modification -1.17 At1g07920 Elongation f actor 1-alpha -1.17 At4g12000 Putative protein -1.15 At1g09500 Putative cinnamyl alcohol dehydrogenase -1.12 At3g09270 Glutathione transf erase -1.11 At4g30920 Leucyl aminopeptidase like -1.11 At1g32940 Hypothetical protein -1.09 At1g21310 Hypothetical protein -1.08 At5g15630 Phytochelatine synthase, putative -1.08 At4g02520 Atpm24.1 glutathione transf erase -1.07 At1g17860 Hypothetical protein -1.06 At1g48090 Unknown protein -1.05 At4g21130 Hypothetical protein -1.04 At3g08790 Hypothetical protein -1.04 At2g18190 Putative AAA-type ATPase -1.04 At1g35580 I nvertase, putative -1.02 At3g13310 DNAJ protein, putative -1.01 At4g26050 Putative leucine rich repeat protein -1

upregulated genes: OPR1/2

Cell wall biosynthetic genes

Cytochrome P450 (CYP81D11)

F-box containing protein

Sequences unaffected by cis-jasmone:

Defence genes (PR proteins, etc)

Stress genes (HSPs, etc)

Jasmonate-regulated genes (OPR3, LOX)

cis-jasmone

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Myzus persicae responses to CYP81D11 overexpressing plants

Bruce et al. 2008 PNAS 105: 4553-4558

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Aphidius ervi responses to CYP81D11 overexpressing plants

Bruce et al. 2008 PNAS 105: 4553-4558

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EGG ALERT

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HYPOTHESIS: Landraces are MORE RESISTANT TO STRESSES such as stemborer attack…

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are parasitoids more attracted to HIPVs from landraces?

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±

24h

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Bioassay of response to volatiles from plants WITH and WITHOUT eggs

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Tamiru et al. (2011) Ecology Letters 14: 1075

Parasitoid response - landraces

ATTRACTED to plants with eggs

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Volatile profiles - landraces

(a) (E)-ocimene, (b) (R)-linalool, (c) (E)-4,8-dimethyl-1,3,7, nonatriene (DMNT), (d) methyl salicylate, (e) decanal, (f) methyleugenol, (g) (E)-(1R,9S)-caryophyllene, (h) (E)-β-farnesene, (i) (E,E)-4,8,12-trimethyl-1,3,7,11-tridecatetraene (TMTT).

Tamiru et al. (2011) Ecology Letters 14: 1075

INDUCTION with plants with eggs

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IMPROVING BIOCONTROL

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New Agri-tech Catalyst project: Lure-and-kill technology to manage beetle pests of field beans and peas

4-Methylheptane-3,5-dione

Beauveria bassiana spores adhering to Entostat particles

Sitona lineatus adults

♂ produced aggregation pheromone that attracts ♀s and ♂s

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Flight is not an option for plants !

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Labandeira (2013) Curr. Opin. Plant Biol. 16: 414

400 Million years of Coevolution

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Innovation in crop protection is very much needed as conventional pesticides are lost to resistance or banned

Perhaps an understanding of chemical ecology can help ?