resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes
2023
Duthie, A. Bradley | Mangan, Rosie | McKeon, C Rose | Tinsley, Matthew C | Bussière, Luc F. | Noble, Robert | BBSRC Biotechnology and Biological Sciences Research Council | BBSRC Biotechnology and Biological Sciences Research Council | Biological and Environmental Sciences | Biological and Environmental Sciences | Biological and Environmental Sciences | Biological and Environmental Sciences | University of Gothenburg | 0000-0001-8343-4995 | 0000-0002-3167-1988 | 0000-0002-4198-657X | 0000-0002-7715-1259
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.
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