PLoS Computational Biology (Dec 2023)

resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes.

  • A Bradley Duthie,
  • Rosie Mangan,
  • C Rose McKeon,
  • Matthew C Tinsley,
  • Luc F Bussière

DOI
https://doi.org/10.1371/journal.pcbi.1011691
Journal volume & issue
Vol. 19, no. 12
p. e1011691

Abstract

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The evolution of pesticide resistance is a widespread problem with potentially severe consequences for global food security. We introduce the resevol R package, which simulates individual-based models of pests with evolving genomes that produce complex, polygenic, and covarying traits affecting pest life history and pesticide resistance. Simulations are modelled on a spatially-explicit and highly customisable landscape in which crop and pesticide application and rotation can vary, making the package a highly flexible tool for both general and tactical models of pest management and resistance evolution. We present the key features of the resevol package and demonstrate its use for a simple example simulating pests with two covarying traits. The resevol R package is open source under GNU Public License. All source code and documentation are available on GitHub.