The Diversity of the Brains of Ray-Finned Fishes.


Journal

Brain, behavior and evolution
ISSN: 1421-9743
Titre abrégé: Brain Behav Evol
Pays: Switzerland
ID NLM: 0151620

Informations de publication

Date de publication:
2023
Historique:
received: 16 10 2022
accepted: 13 03 2023
medline: 31 8 2023
pubmed: 23 3 2023
entrez: 22 3 2023
Statut: ppublish

Résumé

Brains are very plastic, both in response to phenotypic diversity and to larger evolutionary trends. Differences between taxa cannot be easily attributed to either factors. Comparative morphological data on higher taxonomic levels are scarce, especially in ray-finned fishes. Here we show the great diversity of brain areas of more than 150 species of ray-finned fishes by volumetric measurements using block-face imaging. We found that differences among families or orders are more likely due to environmental needs than to systematic position. Most notable changes are present in the brain areas processing sensory input (chemosenses and lateral line vs. visual system) between salt- and freshwater species due to fundamental differences in habitat properties. Further, some patterns of brain volumetry are linked to characteristics of body morphology. There is a positive correlation between cerebellum size and body depth, as well as the presence of a swim bladder. Since body morphology is linked to ecotypes and habitat selection, a complex character space of brain and body morphology and ecological factors together could explain better the differentiation of species into their ecological niches and may lead to a better understanding of how animals adapt to their environment.

Identifiants

pubmed: 36948163
pii: 000530243
doi: 10.1159/000530243
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171-182

Informations de copyright

© 2023 S. Karger AG, Basel.

Auteurs

Isabelle C Gebhardt (IC)

Department of Comparative Neuroanatomy, Institute of Zoology, University of Bonn, Bonn, Germany.

Michael H Hofmann (MH)

Department of Comparative Neuroanatomy, Institute of Zoology, University of Bonn, Bonn, Germany.

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Classifications MeSH