Individual-based Modeling of Genome Evolution in Haplodiploid Organisms.

Hymenoptera ants arrhenotoky bees fate of mutations haploid males interpreting genome scans selection efficacy

Journal

Genome biology and evolution
ISSN: 1759-6653
Titre abrégé: Genome Biol Evol
Pays: England
ID NLM: 101509707

Informations de publication

Date de publication:
03 05 2022
Historique:
accepted: 20 04 2022
pubmed: 6 5 2022
medline: 12 5 2022
entrez: 5 5 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35510983
pii: 6576481
doi: 10.1093/gbe/evac062
pmc: PMC9086950
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/T015683/1
Pays : United Kingdom

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

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Auteurs

Rodrigo Pracana (R)

Organismal Biology Department, Queen Mary University of London, London, United Kingdom.

Richard Burns (R)

Organismal Biology Department, Queen Mary University of London, London, United Kingdom.

Robert L Hammond (RL)

Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom.

Benjamin C Haller (BC)

Department of Computational Biology, Cornell University, Ithaca, NY, USA.

Yannick Wurm (Y)

Organismal Biology Department, Queen Mary University of London, London, United Kingdom.
Alan Turing Institute, London, United Kingdom.

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Classifications MeSH