Travel with your kin ship! Insights from genetic sibship among settlers of a coral damselfish.

coral reefs damselfishes genetic sibship larval dispersal larval recruitment population dynamics

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 22 02 2020
revised: 29 05 2020
accepted: 02 06 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 14 8 2020
Statut: epublish

Résumé

Coral reef fish larvae are tiny, exceedingly numerous, and hard to track. They are also highly capable, equipped with swimming and sensory abilities that may influence their dispersal trajectories. Despite the importance of larval input to the dynamics of a population, we remain reliant on indirect insights to the processes influencing larval behavior and transport. Here, we used genetic data (300 independent single nucleotide polymorphisms) derived from a light trap sample of a single recruitment event of

Identifiants

pubmed: 32788977
doi: 10.1002/ece3.6533
pii: ECE36533
pmc: PMC7417242
doi:

Banques de données

Dryad
['10.5061/dryad.h44j0zpgx']

Types de publication

Journal Article

Langues

eng

Pagination

8265-8278

Informations de copyright

© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Vanessa Robitzch (V)

Red Sea Research Center Division of Biological and Environmental Science and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia.
Instituto de Ciencias Ambientales y Evolutivas Facultad de Ciencias Universidad Austral de Chile Valdivia Chile.

Pablo Saenz-Agudelo (P)

Instituto de Ciencias Ambientales y Evolutivas Facultad de Ciencias Universidad Austral de Chile Valdivia Chile.

Michael L Berumen (ML)

Red Sea Research Center Division of Biological and Environmental Science and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia.

Classifications MeSH