Literature DB >> 28857332

Landscape genomics of Colorado potato beetle provides evidence of polygenic adaptation to insecticides.

Michael S Crossley1, Yolanda H Chen2, Russell L Groves1, Sean D Schoville1.   

Abstract

The ability of insect pests to rapidly and repeatedly adapt to insecticides has long challenged entomologists and evolutionary biologists. Since Crow's seminal paper on insecticide resistance in 1957, new data and insights continue to emerge that are relevant to the old questions about how insecticide resistance evolves: such as whether it is predominantly mono- or polygenic, and evolving from standing vs. de novo genetic variation. Many studies support the monogenic hypothesis, and current management recommendations assume single- or two-locus models. But inferences could be improved by integrating data from a broader sample of pest populations and genomes. Here, we generate evidence relevant to these questions by applying a landscape genomics framework to the study of insecticide resistance in a major agricultural pest, Colorado potato beetle, Leptinotarsa decemlineata (Say). Genome-environment association tests using genomic variation from 16 populations spanning gradients of landscape variables associated with insecticide exposure over time revealed 42 strong candidate insecticide resistance genes, with potentially overlapping roles in multiple resistance mechanisms. Measurements of resistance to a widely used insecticide, imidacloprid, among 47 L. decemlineata populations revealed heterogeneity at a small (2 km) scale and no spatial signature of origin or spread throughout the landscape. Analysis of nucleotide diversity suggested candidate resistance loci have undergone varying degrees of selective sweeps, often maintaining similar levels of nucleotide diversity to neutral loci. This study suggests that many genes are involved in insecticide resistance in L. decemlineata and that resistance likely evolves from both de novo and standing genetic variation.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Leptinotarsa decemlineatazzm321990; genome scan; insecticide resistance; landscape genetics; local adaptation; pest evolution

Mesh:

Year:  2017        PMID: 28857332     DOI: 10.1111/mec.14339

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  7 in total

1.  Sampling strategy optimization to increase statistical power in landscape genomics: A simulation-based approach.

Authors:  Oliver Selmoni; Elia Vajana; Annie Guillaume; Estelle Rochat; Stéphane Joost
Journal:  Mol Ecol Resour       Date:  2019-10-21       Impact factor: 7.090

2.  Genome evolution in an agricultural pest following adoption of transgenic crops.

Authors:  Katherine L Taylor; Kelly A Hamby; Alexandra M DeYonke; Fred Gould; Megan L Fritz
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-28       Impact factor: 11.205

3.  Global patterns in genomic diversity underpinning the evolution of insecticide resistance in the aphid crop pest Myzus persicae.

Authors:  Kumar Saurabh Singh; Erick M G Cordeiro; Bartlomiej J Troczka; Adam Pym; Joanna Mackisack; Thomas C Mathers; Ana Duarte; Fabrice Legeai; Stéphanie Robin; Pablo Bielza; Hannah J Burrack; Kamel Charaabi; Ian Denholm; Christian C Figueroa; Richard H Ffrench-Constant; Georg Jander; John T Margaritopoulos; Emanuele Mazzoni; Ralf Nauen; Claudio C Ramírez; Guangwei Ren; Ilona Stepanyan; Paul A Umina; Nina V Voronova; John Vontas; Martin S Williamson; Alex C C Wilson; Gao Xi-Wu; Young-Nam Youn; Christoph T Zimmer; Jean-Christophe Simon; Alex Hayward; Chris Bass
Journal:  Commun Biol       Date:  2021-07-07

4.  Insights into the neutral and adaptive processes shaping the spatial distribution of genomic variation in the economically important Moroccan locust (Dociostaurus maroccanus).

Authors:  María José González-Serna; Pedro J Cordero; Joaquín Ortego
Journal:  Ecol Evol       Date:  2020-03-31       Impact factor: 2.912

5.  Changes in emergence phenology, fatty acid composition, and xenobiotic-metabolizing enzyme expression is associated with increased insecticide resistance in the Colorado potato beetle.

Authors:  Justin Clements; Jake M Olson; Benjamin Sanchez-Sedillo; Benjamin Bradford; Russell L Groves
Journal:  Arch Insect Biochem Physiol       Date:  2019-10-16       Impact factor: 1.698

6.  Genome Resequencing Reveals Rapid, Repeated Evolution in the Colorado Potato Beetle.

Authors:  Benjamin Pélissié; Yolanda H Chen; Zachary P Cohen; Michael S Crossley; David J Hawthorne; Victor Izzo; Sean D Schoville
Journal:  Mol Biol Evol       Date:  2022-02-03       Impact factor: 16.240

7.  Geonomics: Forward-Time, Spatially Explicit, and Arbitrarily Complex Landscape Genomic Simulations.

Authors:  Drew E Terasaki Hart; Anusha P Bishop; Ian J Wang
Journal:  Mol Biol Evol       Date:  2021-09-27       Impact factor: 16.240

  7 in total

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