Brain energy metabolism as an underlying basis to slow-fast cognitive phenotypes in honeybees.

Brain respiration Cognitive phenotypes Honeybee Metabolic rate Slow-fast variation Speed accuracy tradeoff

Journal

The Journal of experimental biology
ISSN: 1477-9145
Titre abrégé: J Exp Biol
Pays: England
ID NLM: 0243705

Informations de publication

Date de publication:
02 Aug 2024
Historique:
received: 11 04 2024
accepted: 19 07 2024
medline: 2 8 2024
pubmed: 2 8 2024
entrez: 2 8 2024
Statut: aheadofprint

Résumé

In the context of slow-fast behavioral variation, fast individuals are hypothesized to be those who prioritize speed over accuracy while slow individuals are those which do the opposite. Since energy metabolism is a critical component of neural and cognitive functioning, this predicts such differences in cognitive style to be reflected at the level of the brain. We tested this idea in honeybees by first classifying individuals into slow and fast cognitive phenotypes based on a learning assay and then measuring their brain respiration with high-resolution respirometry. Our results broadly show that interindividual differences in cognition are reflected in differences in brain mass and accompanying energy use at the level of the brain and the whole animal. Bigger brains had lower mass-specific energy usage and those bees with bigger brains had a higher metabolic rate. These differences in brain respiration and brain mass were in turn associated with cognitive differences such that fast cognitive phenotypes were those bees with bigger brains while slow cognitive phenotypes were those with smaller brains. We discuss these results in the context of the role of energy in brain functioning and slow-fast decision making and speed accuracy tradeoff.

Identifiants

pubmed: 39092671
pii: 361368
doi: 10.1242/jeb.247835
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation, U.S.A.
Organisme : Foundation for Food and Agricultural Research

Informations de copyright

© 2024. Published by The Company of Biologists Ltd.

Auteurs

Catherine Tait (C)

Department of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.

Adam Chicco (A)

Department of Biomedical Sciences, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.

Dhruba Naug (D)

Department of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.

Classifications MeSH