Insect–plant relationships predict the speed of insecticide adaptation

Abstract Herbivorous insects must circumvent the chemical defenses of their host plants and, in cropping systems, must also circumvent synthetic insecticides. The pre‐adaptation hypothesis posits that when herbivorous insects evolve resistance to insecticides, they co‐opt adaptations against host pl...

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Bibliographic Details
Main Authors: Michael S. Crossley, William E. Snyder, Nate B. Hardy
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:Evolutionary Applications
Subjects:
Online Access:https://doi.org/10.1111/eva.13089
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spelling doaj-dd3b5fcf2bbf4762bec0f81bb24a23042021-02-20T16:47:35ZengWileyEvolutionary Applications1752-45712021-02-0114229029610.1111/eva.13089Insect–plant relationships predict the speed of insecticide adaptationMichael S. Crossley0William E. Snyder1Nate B. Hardy2Department of Entomology University of Georgia Athens GA USADepartment of Entomology University of Georgia Athens GA USADepartment of Entomology and Plant Pathology Auburn University Auburn AL USAAbstract Herbivorous insects must circumvent the chemical defenses of their host plants and, in cropping systems, must also circumvent synthetic insecticides. The pre‐adaptation hypothesis posits that when herbivorous insects evolve resistance to insecticides, they co‐opt adaptations against host plant defenses. Despite its intuitive appeal, few predictions of this hypothesis have been tested systematically. Here, with survival analysis of more than 17,000 herbivore–insecticide interactions, we show that resistance evolution tends to be faster when herbivorous insect diets are broad (but not too broad) and when insecticides and plant defensive chemicals are similar (but not too similar). These general relations suggest a complex interplay between macro‐evolutionary contingencies and contemporary population genetic processes, and provide a predictive framework to forecast which pest species are most likely to develop resistance to particular insecticide chemistries.https://doi.org/10.1111/eva.13089insecticide resistanceplant–insect interactionspopulation geneticspre‐adaptationsurvival analysis
collection DOAJ
language English
format Article
sources DOAJ
author Michael S. Crossley
William E. Snyder
Nate B. Hardy
spellingShingle Michael S. Crossley
William E. Snyder
Nate B. Hardy
Insect–plant relationships predict the speed of insecticide adaptation
Evolutionary Applications
insecticide resistance
plant–insect interactions
population genetics
pre‐adaptation
survival analysis
author_facet Michael S. Crossley
William E. Snyder
Nate B. Hardy
author_sort Michael S. Crossley
title Insect–plant relationships predict the speed of insecticide adaptation
title_short Insect–plant relationships predict the speed of insecticide adaptation
title_full Insect–plant relationships predict the speed of insecticide adaptation
title_fullStr Insect–plant relationships predict the speed of insecticide adaptation
title_full_unstemmed Insect–plant relationships predict the speed of insecticide adaptation
title_sort insect–plant relationships predict the speed of insecticide adaptation
publisher Wiley
series Evolutionary Applications
issn 1752-4571
publishDate 2021-02-01
description Abstract Herbivorous insects must circumvent the chemical defenses of their host plants and, in cropping systems, must also circumvent synthetic insecticides. The pre‐adaptation hypothesis posits that when herbivorous insects evolve resistance to insecticides, they co‐opt adaptations against host plant defenses. Despite its intuitive appeal, few predictions of this hypothesis have been tested systematically. Here, with survival analysis of more than 17,000 herbivore–insecticide interactions, we show that resistance evolution tends to be faster when herbivorous insect diets are broad (but not too broad) and when insecticides and plant defensive chemicals are similar (but not too similar). These general relations suggest a complex interplay between macro‐evolutionary contingencies and contemporary population genetic processes, and provide a predictive framework to forecast which pest species are most likely to develop resistance to particular insecticide chemistries.
topic insecticide resistance
plant–insect interactions
population genetics
pre‐adaptation
survival analysis
url https://doi.org/10.1111/eva.13089
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