Structure, function and formation of the amniote skin pattern.

Amniotes appendage pattern colour pattern ecological function formation natural variation

Journal

Developmental biology
ISSN: 1095-564X
Titre abrégé: Dev Biol
Pays: United States
ID NLM: 0372762

Informations de publication

Date de publication:
24 Sep 2024
Historique:
received: 17 01 2024
revised: 10 09 2024
accepted: 23 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

From feather and hair dotted arrays to pigmented stripes and spots, the spatial distribution of skin appendages and colouration often forms visible ornaments crucial for fitness in the coat of birds and mammals. These geometrical motifs are extremely diverse in nature. Yet, phenotypic surveys evidenced common themes in variation: the orientation, appendage-specificity or pigmentation of a given region may be conserved across groups or species. Here, we review naturalist observations of natural variation in the anatomy and ecological function of the skin pattern in amniotes. We then describe several decades of genetics, mathematical modelling and experimental embryology work aiming at understanding the molecular and morphogenetic mechanisms responsible for pattern formation. We discuss how these studies provided evidence that the morphological trends and differences representative of the phenotypic landscape of skin patterns in wild amniote species is rooted in the mechanisms controlling the production of distinct compartments in the embryonic skin.

Identifiants

pubmed: 39326486
pii: S0012-1606(24)00238-0
doi: 10.1016/j.ydbio.2024.09.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Carole Desmarquet-Trin Dinh (C)

Centre for Interdisciplinary Research in Biology, Collège de France, Université PSL, CNRS, INSERM.

Marie Manceau (M)

Centre for Interdisciplinary Research in Biology, Collège de France, Université PSL, CNRS, INSERM.

Classifications MeSH