Planning and implementing genetic rescue of an endangered freshwater fish population in a regulated river, where low flow reduces breeding opportunities and may trigger inbreeding depression.

Macquarie perch Macquaria australasica genetic diversity genetic management genetic rescue inbreeding depression native Australian wildlife population persistence translocations

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 15 08 2023
revised: 11 02 2024
accepted: 26 02 2024
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 15 4 2024
Statut: epublish

Résumé

Augmenting depleted genetic diversity can improve the fitness and evolutionary potential of wildlife populations, but developing effective management approaches requires genetically monitored test cases. One such case is the small, isolated and inbred Cotter River population of an endangered Australian freshwater fish, the Macquarie perch

Identifiants

pubmed: 38617824
doi: 10.1111/eva.13679
pii: EVA13679
pmc: PMC11009430
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e13679

Informations de copyright

© 2024 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

We declare no conflict of interest.

Auteurs

Alexandra Pavlova (A)

School of Biological Sciences Monash University Melbourne Victoria Australia.

Nadja M Schneller (NM)

School of Biological Sciences Monash University Melbourne Victoria Australia.

Mark Lintermans (M)

Centre for Applied Water Science Institute for Applied Ecology, University of Canberra Canberra Australian Capital Territory Australia.

Matt Beitzel (M)

Environment, Planning & Sustainable Development Directorate (ACT Government) Canberra Australian Capital Territory Australia.

Diana A Robledo-Ruiz (DA)

School of Biological Sciences Monash University Melbourne Victoria Australia.

Paul Sunnucks (P)

School of Biological Sciences Monash University Melbourne Victoria Australia.

Classifications MeSH