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

被引：0

作者：

Duthie, A. Bradley ^{[1
]}

Mangan, Rosie ^{[1
]}

McKeon, C. Rose ^{[1
]}

Tinsley, Matthew C. ^{[1
]}

Bussiere, Luc F. ^{[2
,3
]}

机构：

[1] Univ Stirling, Biol & Environm Sci, Stirling, Scotland

[2] Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden

[3] Gothenburgh Global Biodivers Ctr, Gothenburg, Sweden

来源：

PLOS COMPUTATIONAL BIOLOGY | 2023年 / 19卷 / 12期

基金：

巴西圣保罗研究基金会; 英国生物技术与生命科学研究理事会;

关键词：

INSECTICIDE RESISTANCE; BT CROPS; EVOLUTION; MANAGEMENT; SELECTION; GENETICS;

D O I：

10.1371/journal.pcbi.1011691

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：12