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HEALTHY PEOPLE HEALTHY ENVIRONMENT Modelling resistance to genetic control of insects Nina Alphey 1 , Mike Bonsall 1 , Luke Alphey 2 1 Mathematical Ecology Research Group, Department of Zoology, University of Oxford 2 Chief Scientist, Oxitec Ltd & Visiting Professor, Department of Zoology, University of Oxford

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Page 1: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Modelling resistance to genetic control of insects

Nina Alphey1, Mike Bonsall1, Luke Alphey2

1 Mathematical Ecology Research Group, Department of Zoology, University of Oxford

2 Chief Scientist, Oxitec Ltd & Visiting Professor, Department of Zoology, University of Oxford

Page 2: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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RIDL® (Release of Insects Carrying a Dominant Lethal)

is a genetic variant of the Sterile Insect Technique (SIT).

It is under trial in mosquitoes & crop pests.

The insects are “genetically sterile”, rather than sterilised

using irradiation.

Thomas et al. (2000) Science 287:2474

Page 3: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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Released males carry two copies of a dominant lethal genetic construct (“LL”).

Wild type (“ww”) females that mate with those males have no progeny.

Thomas et al. (2000) Science 287:2474

Lw

LL ww

Page 4: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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The genetics can be made sex-specific; in a female-lethal version, daughters die, but sons are unaffected (and half their daughters die, half their sons inherit…)

X

Fu et al. (2007) Nature Biotechnology 25:353Fu et al. (2010) PNAS 107: 4550

Page 5: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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RIDL® (Release of Insects Carrying a Dominant Lethal)

+ Antidote

popu

latio

n

Mass rearing

Separate sexes

Insects are mass-reared in a facility

The lethal genetic construct is repressed by a dietary additive

Page 6: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

RIDL® (Release of Insects Carrying a Dominant Lethal)

+ Antidote

popu

latio

n

Mass rearing

Separate sexes

The sexes are separated so that only

males are released

Female-lethal genetics enables easy sex-separation: simply

remove the antidote one generation before release

Page 7: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

RIDL® (Release of Insects Carrying a Dominant Lethal)

+ Antidote

popu

latio

n

Mass rearing

Separate sexes

Released males mate with wild females; all their offspring die

(bisex-lethal) or all their female offspring die (female-lethal), which

suppresses the population

Page 8: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

What are the consequences if heritable resistance arises to the RIDL genetic construct?

Page 9: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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What are the consequences if heritable resistance arises to the RIDL genetic construct?

We developed mathematical (population genetic and

population dynamic) models to find answers.

N. Alphey et al. (2011) J Theor Biol 270:42

Page 10: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Resistance has not (yet) been detected in any RIDL strains.

Imagine a hypothetical resistant gene R, which reduces the

lethality of the RIDL construct - some, perhaps all, affected

individuals survive.(unspecified biochemical mechanism)

Page 11: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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The resistant gene R, might have some fitness cost, relative

to the susceptible allele S.

Page 12: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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Assume that all released RIDL males have no resistant alleles.

SSLL

So their progeny will inherit:a susceptible S allele, providing an element of resistance dilutionanda lethal L allele, which would favour resistance

Page 13: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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How will these competing forces play out?

Page 14: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

How will these competing forces play out?

It depends on properties of the R allele (degree of susceptibility & fitness cost) and the ratio of released SSLL males to males

emerging in the wild.N. Alphey et al. (2011) J Theor Biol 270:42

Page 15: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Layout of diagrams that followR

alle

le fr

eque

ncy

Lal

lele

freq

uenc

y

BL FL

Left column “BL”: bisex-lethal RIDL

construct

Right column “FL”: female-lethal RIDL

constructTop row: R (resistant)

allele frequency

Bottom row: L allele (RIDL construct)

frequency

Page 16: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Consider the “worst-case” scenario: the R allele is dominant, has no fitness cost, and confers complete resistance (i.e. any RR or SR individual ignores the

L allele)!

Page 17: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Allele frequency evolution: WORST-CASE SCENARIO

0 10 20 30 40generation

d

0 10 20 30 400

0.2

0.4

0.6

0.8

1

generation

L al

lele

freq

uenc

y

c

b FL

0

0.2

0.4

0.6

0.8

1

R a

llele

freq

uenc

y

0.51101000

a BL

In this worst case, the R allele spreads to an equilibrium…

Page 18: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Allele frequency evolution: WORST-CASE SCENARIO

0 10 20 30 40generation

d

0 10 20 30 400

0.2

0.4

0.6

0.8

1

generation

L al

lele

freq

uenc

y

c

b FL

0

0.2

0.4

0.6

0.8

1

R a

llele

freq

uenc

y

0.51101000

a BL

… allowing the L allele to fix

Page 19: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Allele frequency evolution: WORST-CASE SCENARIO

0 10 20 30 40generation

d

0 10 20 30 400

0.2

0.4

0.6

0.8

1

generation

L al

lele

freq

uenc

y

c

b FL

0

0.2

0.4

0.6

0.8

1

R a

llele

freq

uenc

y

0.51101000

a BL

Higher release ratio means faster to equilibrium

Page 20: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

The next graphs again show dominantresistance, with no fitness cost. The solid line is complete resistance, the

other lines are increasing susceptibilityto the genetic lethality (i.e. less

effective resistance).

Page 21: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Allele frequency evolution: NEARLY-WORST CASE

0 5 10 15 20 25 30generation

d

0 5 10 15 20 25 300

0.2

0.4

0.6

0.8

1

generation

L al

lele

freq

uenc

y

c

γSR = γRR: 0

γSR = γRR: 0.3

γSR = γRR: 0.5

γSR = γRR: 0.7

γSR = γRR: 0.9

b FL

0

0.2

0.4

0.6

0.8

1

R a

llele

freq

uenc

y

a BL

Higher susceptibility means slower to reach equilibria…

…and lower L allele equilibria

increasing susceptibility

Page 22: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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Allele frequency equilibria depend onSR and RR susceptibility (γ) to the lethality

a female-lethal Lallele is

passed on to males

(even with no R)

SR susceptibility has more effect than RR

Page 23: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Effect of spreading R and L on population control

10-10

10-5

100

105

rela

tive

popu

latio

n si

ze (l

og s

cale

)

NR: totalBL: totalBL no R: totalFL: totalFL no R: total

a Spreading R and L alleles can have a range of impacts on population control:

Little difference (a)

Genetic control, no R Genetic

control, with R

No releases

Page 24: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Effect of spreading R and L on population control

10-10

10-5

100

105

rela

tive

popu

latio

n si

ze (l

og s

cale

)

NR: totalBL: totalBL no R: totalFL: totalFL no R: total

a

0 5 10 15 2010-10

10-5

100

105

rela

tive

popu

latio

n si

ze (l

og s

cale

)

b

Spreading R and L alleles can have a range of impacts on population control:

Little difference (a)Population still somewhat reduced (b)

Genetic control, no R

Genetic control, with R

Page 25: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

HEALTHY PEOPLE HEALTHY ENVIRONMENT

Effect of spreading R and L on population control

10-10

10-5

100

105

rela

tive

popu

latio

n si

ze (l

og s

cale

)

NR: totalBL: totalBL no R: totalFL: totalFL no R: total

a

0 5 10 15 2010-10

10-5

100

105

generation

rela

tive

popu

latio

n si

ze (l

og s

cale

)

c

0 5 10 15 2010-10

10-5

100

105

rela

tive

popu

latio

n si

ze (l

og s

cale

)

b

Spreading R and L alleles can have a range of impacts on population control:

Little difference (a)Population still somewhat reduced (b)Population rapidly rebounds, to slightly

lower equilibrium (c)Note the obvious “kinks” in b & c, as

resistance starts to take effect

Genetic control, no R

Genetic control, with R

Page 26: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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Conclusions

For given release ratio, the spread of R (and consequently L) depends on how effective R is and its fitness costs:

higher susceptibility R spreads less far, or goes extincthigher cost R spreads less far, or goes extinct

If R and L spread, the impact on a control programme could be negligible to significantThe most threatening R (highly effective, little cost) would show up quickly in trials/results, allowing action (e.g. deploy alternative strains)

N. Alphey et al. (2011) J Theor Biol 270:42

Page 27: Modelling resistance to genetic control of insects › esa › 2010 › webprogram › ...Microsoft PowerPoint - Nina_Alphey_ESA2010_VirtualPoster_D0002.ppt Author: user Created Date:

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For more details

See Journal of Theoretical Biology 270 (2011) 42-55 – available online nowor

email [email protected]

Skype me during the ESA Annual Meeting