Cognitive abilities with a tiny brain: Neuronal structures and associative learning in the minute Nephanes titan (Coleoptera: Ptiliidae).


Journal

Arthropod structure & development
ISSN: 1873-5495
Titre abrégé: Arthropod Struct Dev
Pays: England
ID NLM: 100972232

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 16 10 2018
revised: 20 11 2018
accepted: 20 11 2018
pubmed: 26 11 2018
medline: 28 5 2019
entrez: 26 11 2018
Statut: ppublish

Résumé

Revealing the effect of brain size on the cognitive abilities of animals is a major challenge in the study of brain evolution. Analysis of the effects of miniaturization on brain function in the smallest insects is especially important, as they are comparable in body size to some unicellular organisms and next to nothing is known about their cognitive abilities. We analyse for the first time the structure of the brain of the adult featherwing beetle Nephanes titan, one of the smallest insects, and results of the first ethological experiments on the capacity of learning in this species. N. titan is capable of associative learning, in spite of the structural modification in its nervous system and the greatly reduced number of neurons compared to the nervous systems of larger insects. Microinsects can become useful model organisms for neurobiology. On the one hand, the structural simplicity and extremely small size of their central nervous system make it possible to study it very efficiently. On the other hand, their learning capacity and retained principal cognitive abilities make them suitable objects for behavioural experiments.

Identifiants

pubmed: 30472324
pii: S1467-8039(18)30138-5
doi: 10.1016/j.asd.2018.11.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

98-102

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Alexey A Polilov (AA)

Department of Entomology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia. Electronic address: polilov@gmail.com.

Anastasia A Makarova (AA)

Department of Entomology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia. Electronic address: amkrva@gmail.com.

Uliana K Kolesnikova (UK)

Department of Entomology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.

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Classifications MeSH