Olfactory and gustatory chemical sensor systems in the African turquoise killifish: Insights from morphology.

Fish Olfactory epithelium Taste buds

Journal

Cell and tissue research
ISSN: 1432-0878
Titre abrégé: Cell Tissue Res
Pays: Germany
ID NLM: 0417625

Informations de publication

Date de publication:
21 Oct 2024
Historique:
received: 01 08 2024
accepted: 01 10 2024
medline: 21 10 2024
pubmed: 21 10 2024
entrez: 21 10 2024
Statut: aheadofprint

Résumé

Smell and taste are extensively studied in fish species as essential for finding food and selecting mates while avoiding toxic substances and predators. Depending on the evolutionary position and adaptation, a discrete variation in the morphology of these sense organs has been reported in numerous teleost species. Here, for the first time, we approach the phenotypic characterization of the olfactory epithelium and taste buds in the African turquoise killifish (Nothobranchius furzeri), a model organism known for its short lifespan and use in ageing research. Our observations indicate that the olfactory epithelium of N. furzeri is organized as a simple patch, lacking the complex folding into a rosette, with an average size of approximately 600 µm in length, 300 µm in width, and 70 µm in thickness. Three main cytotypes, including olfactory receptor neurons (CalbindinD28K), supporting cells (β-tubulin IV), and basal cells (Ki67), were identified across the epithelium. Further, we determined the taste buds' distribution and quantification between anterior (skin, lips, oral cavity) and posterior (gills, pharynx, oesophagus) systems. We identified the key cytotypes by using immunohistochemical markers, i.e. CalbindinD28K, doublecortin, and neuropeptide Y (NPY) for gustatory receptor cells, glial fibrillary acidic protein (GFAP) for supporting cells, and Ki67, a marker of cellular proliferation for basal cells. Altogether, these results indicate that N. furzeri is a microsmatic species with unique taste and olfactory features and possesses a well-developed posterior taste system compared to the anterior. This study provides fundamental insights into the chemosensory biology of N. furzeri, facilitating future investigations into nutrient-sensing mechanisms and their roles in development, survival, and ageing.

Identifiants

pubmed: 39432108
doi: 10.1007/s00441-024-03923-5
pii: 10.1007/s00441-024-03923-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministero dell'Università e della Ricerca
ID : Prin 2022 - 2022LYPBCT
Organisme : Ministero dell'Università e della Ricerca
ID : Prin 2022 - 2022LYPBCT
Organisme : Ministero dell'Università e della Ricerca
ID : Prin 2022 - 2022LYPBCT
Organisme : Ministero dell'Università e della Ricerca
ID : Prin 2022 - 2022LYPBCT

Informations de copyright

© 2024. The Author(s).

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Auteurs

Daniela Giaquinto (D)

Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Via F. Delpino, 1 I-80137, Naples, Italy.

Elisa Fonsatti (E)

Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Viale Dell'Università 16, Legnaro, 35020, Padua, Italy.

Martina Bortoletti (M)

Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Viale Dell'Università 16, Legnaro, 35020, Padua, Italy.

Giuseppe Radaelli (G)

Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Viale Dell'Università 16, Legnaro, 35020, Padua, Italy.

Elena De Felice (E)

School of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, Italy.

Paolo de Girolamo (P)

Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Via F. Delpino, 1 I-80137, Naples, Italy.

Daniela Bertotto (D)

Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Viale Dell'Università 16, Legnaro, 35020, Padua, Italy.

Livia D'Angelo (L)

Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Via F. Delpino, 1 I-80137, Naples, Italy. livia.dangelo@unina.it.

Classifications MeSH