resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes
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...
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| Vydané v: | PLoS computational biology Ročník 19; číslo 12; s. e1011691 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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United States
Public Library of Science
01.12.2023
Public Library of Science (PLoS) |
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| ISSN: | 1553-7358, 1553-734X, 1553-7358 |
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| 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. |
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| AbstractList | 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.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. 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. |
| Audience | Academic |
| Author | Duthie, A. Bradley Tinsley, Matthew C. McKeon, C. Rose Mangan, Rosie Bussière, Luc F. |
| AuthorAffiliation | 1 Biological and Environmental Sciences, University of Stirling, Stirling, United Kingdom City University of London, UNITED KINGDOM 2 Biological and Environmental Sciences and Gothenburg Global Biodiversity Centre, The University of Gothenburg, Gothenburg, Sweden 3 Gothenburgh Global Biodiversity Centre, Gothenburg, Sweden |
| AuthorAffiliation_xml | – name: 1 Biological and Environmental Sciences, University of Stirling, Stirling, United Kingdom – name: 2 Biological and Environmental Sciences and Gothenburg Global Biodiversity Centre, The University of Gothenburg, Gothenburg, Sweden – name: 3 Gothenburgh Global Biodiversity Centre, Gothenburg, Sweden – name: City University of London, UNITED KINGDOM |
| Author_xml | – sequence: 1 givenname: A. Bradley orcidid: 0000-0001-8343-4995 surname: Duthie fullname: Duthie, A. Bradley – sequence: 2 givenname: Rosie orcidid: 0000-0002-3167-1988 surname: Mangan fullname: Mangan, Rosie – sequence: 3 givenname: C. Rose surname: McKeon fullname: McKeon, C. Rose – sequence: 4 givenname: Matthew C. surname: Tinsley fullname: Tinsley, Matthew C. – sequence: 5 givenname: Luc F. surname: Bussière fullname: Bussière, Luc F. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38048359$$D View this record in MEDLINE/PubMed https://gup.ub.gu.se/publication/332444$$DView record from Swedish Publication Index (Göteborgs universitet) |
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| CitedBy_id | crossref_primary_10_1371_journal_ppat_1013150 |
| Cites_doi | 10.1016/j.tibtech.2015.12.011 10.1080/17513758.2018.1556351 10.1111/2041-210X.12000 10.1186/s12936-018-2203-y 10.1016/j.envsoft.2020.104694 10.1111/eva.13067 10.1534/genetics.112.141895 10.1017/S0007485300014346 10.1111/j.1752-4571.2012.00282.x 10.1002/ps.6016 10.1016/j.jtbi.2018.07.034 10.1016/j.envsoft.2022.105514 10.1016/j.mbs.2013.07.008 10.1046/j.1461-0248.2002.00392.x 10.1016/j.envsoft.2022.105612 10.1126/science.aar3780 10.1016/j.envsoft.2021.105024 10.1603/EC13458 10.1016/j.tig.2004.01.003 10.1093/jee/83.3.647 10.1111/brv.12440 10.1093/genetics/109.4.761 10.1016/j.scitotenv.2021.148625 10.1038/ncomms12986 10.1111/eva.12550 10.1016/j.tree.2023.01.012 10.1111/2041-210X.13091 |
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| Copyright | Copyright: © 2023 Duthie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. COPYRIGHT 2023 Public Library of Science 2023 Duthie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 Duthie et al 2023 Duthie et al |
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| SubjectTerms | Biology and Life Sciences Biopesticides Chemical pest control Computer programs Earth and Related Environmental Sciences Evolution Evolution & development Food security Food supply Genetic algorithms Genetic aspects Genomes Genomics Geovetenskap och relaterad miljövetenskap Life history Natural history Normal distribution Pest control Pesticide application Pesticide resistance Pesticides Pests Physical Sciences Polygenic inheritance Quantitative genetics R (Programming language) Research and Analysis Methods Science Software Source code |
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| Title | resevol: An R package for spatially explicit models of pesticide resistance given evolving pest genomes |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/38048359 https://www.proquest.com/docview/3069179309 https://www.proquest.com/docview/2898312373 https://pubmed.ncbi.nlm.nih.gov/PMC10721171 https://gup.ub.gu.se/publication/332444 https://doaj.org/article/f2ef60a768fe468e8cb16f726df7dc0f http://dx.doi.org/10.1371/journal.pcbi.1011691 |
| Volume | 19 |
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