Genomic signatures of eusocial evolution in insects.


Journal

Current opinion in insect science
ISSN: 2214-5753
Titre abrégé: Curr Opin Insect Sci
Pays: Netherlands
ID NLM: 101635599

Informations de publication

Date de publication:
03 Nov 2023
Historique:
received: 30 06 2023
revised: 27 10 2023
accepted: 28 10 2023
pubmed: 6 11 2023
medline: 6 11 2023
entrez: 3 11 2023
Statut: aheadofprint

Résumé

The genomes of eusocial insects allow the production and regulation of highly distinct phenotypes, largely independent of genotype. Although rare, eusociality has evolved convergently in at least three insect orders (Hymenoptera, Blattodea and Coleoptera). Despite such disparate origins, eusocial phenotypes show remarkable similarity, exhibiting long-lived reproductives and short-lived sterile workers and soldiers. In this article, we review current knowledge on genomic signatures of eusocial evolution. We confirm that especially an increased regulatory complexity and the adaptive evolution of chemical communication are common to several origins of eusociality. Furthermore, colony life itself can shape genomes of divergent taxa in a similar manner. Future research should be geared towards generating more high-quality genomic resources, especially in hitherto understudied clades, such as ambrosia beetles and termites. The application of more sophisticated tools such as machine learning techniques may allow the detection of more subtle convergent genomic footprints of eusociality.

Identifiants

pubmed: 37922983
pii: S2214-5745(23)00133-5
doi: 10.1016/j.cois.2023.101136
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101136

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alina A Mikhailova (AA)

Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasße 1, 48149 Münster, Germany.

Sarah Rinke (S)

Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasße 1, 48149 Münster, Germany.

Mark C Harrison (MC)

Institute for Evolution and Biodiversity, University of Münster, Hüfferstrasße 1, 48149 Münster, Germany. Electronic address: m.harrison@uni-muenster.de.

Classifications MeSH