Individual-based Modeling of Genome Evolution in Haplodiploid Organisms
Ants, bees, wasps, bark beetles, and other species have haploid males and diploid females. Although such haplodiploid species play key ecological roles and are threatened by environmental changes, no general framework exists for simulating their genetic evolution. Here, we use the SLiM simulation environment to build a novel model for individual-based forward simulation of genetic evolution in haplodiploids. We compare the fates of adaptive and deleterious mutations and find that selection on recessive mutations is more effective in haplodiploids than in diploids. Our open-source model will foster an understanding of the evolution of sociality and how ecologically important haplodiploid species may respond to changing environments.
Funding
Transcriptomic diagnostics for identifying interactive effects of pesticides, food deficiency, and heat stress on bee health.
Biotechnology and Biological Sciences Research Council
Find out more...Behavioural and molecular responses to pesticide exposure in bumblebees.
Natural Environment Research Council
Find out more...Bee sensitivity to a century of agricultural land-use change
Natural Environment Research Council
Find out more...History
Citation
Rodrigo Pracana, Richard Burns, Robert L. Hammond, Benjamin C. Haller, Yannick Wurm, Individual-based Modeling of Genome Evolution in Haplodiploid Organisms, Genome Biology and Evolution, Volume 14, Issue 5, May 2022, evac062, https://doi.org/10.1093/gbe/evac062Author affiliation
Department of Genetics and Genome Biology, University of LeicesterVersion
- VoR (Version of Record)
Published in
Genome Biology and EvolutionVolume
14Issue
5Pagination
evac062Publisher
Oxford University Press (OUP)issn
1759-6653eissn
1759-6653Acceptance date
2022-04-20Copyright date
2022Available date
2024-08-13Publisher DOI
Editors
Lohmueller KSpatial coverage
EnglandLanguage
engPublisher version
Data Access Statement
Code, analysis scripts, and results of simulation runs are available at https://github.com/wurmlab/haplodiploid_simulations and https://wurmlab.com/data/simulating_haplodiploid_evolution.Rights Retention Statement
- No