Article
Details
Citation
Duthie AB, Mangan R, McKeon CR, Tinsley MC & Bussière LF (2023) resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes. Noble R (Editor) PLOS Computational Biology, 19 (12), Art. No.: e1011691. https://doi.org/10.1371/journal.pcbi.1011691
Abstract
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.
Keywords
Computational Theory and Mathematics; Cellular and Molecular Neuroscience; Genetics; Molecular Biology; Ecology; Modeling and Simulation; Ecology, Evolution, Behavior and Systematics
Journal
PLOS Computational Biology: Volume 19, Issue 12
Status | Published |
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Funders | BBSRC Biotechnology and Biological Sciences Research Council and BBSRC Biotechnology and Biological Sciences Research Council |
Publication date | 04/12/2023 |
Publication date online | 04/12/2023 |
Date accepted by journal | 15/11/2023 |
URL | http://hdl.handle.net/1893/35734 |
Publisher | Public Library of Science (PLoS) |
ISSN | 1553-734X |
eISSN | 1553-7358 |
People (2)
Senior Lecturer, Biological and Environmental Sciences
Professor, Biological and Environmental Sciences