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Individual-based Modeling of Genome Evolution in Haplodiploid Organisms

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posted on 2024-08-13, 14:48 authored by R Pracana, R Burns, RL Hammond, BC Haller, Y Wurm

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

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Behavioural and molecular responses to pesticide exposure in bumblebees.

Natural Environment Research Council

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Bee sensitivity to a century of agricultural land-use change

Natural Environment Research Council

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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/evac062

Author affiliation

Department of Genetics and Genome Biology, University of Leicester

Version

  • VoR (Version of Record)

Published in

Genome Biology and Evolution

Volume

14

Issue

5

Pagination

evac062

Publisher

Oxford University Press (OUP)

issn

1759-6653

eissn

1759-6653

Acceptance date

2022-04-20

Copyright date

2022

Available date

2024-08-13

Editors

Lohmueller K

Spatial coverage

England

Language

eng

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

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