Reconciling seascape genetics and fisheries science in three codistributed flatfishes.

conservation genetics continental shelf fisheries management flatfish population genetics redundancy analysis seascape genetics

Journal

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

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 28 10 2019
revised: 03 09 2020
accepted: 07 09 2020
entrez: 5 3 2021
pubmed: 6 3 2021
medline: 6 3 2021
Statut: epublish

Résumé

Uncertainty hampers innovative mixed-fisheries management by the scales at which connectivity dynamics are relevant to management objectives. The spatial scale of sustainable stock management is species-specific and depends on ecology, life history and population connectivity. One valuable approach to understand these spatial scales is to determine to what extent population genetic structure correlates with the oceanographic environment. Here, we compare the level of genetic connectivity in three codistributed and commercially exploited demersal flatfish species living in the North East Atlantic Ocean. Population genetic structure was analysed based on 14, 14 and 10 neutral DNA microsatellite markers for turbot, brill and sole, respectively. We then used redundancy analysis (RDA) to attribute the genetic variation to spatial (geographical location), temporal (sampling year) and oceanographic (water column characteristics) components. The genetic structure of turbot was composed of three clusters and correlated with variation in the depth of the pycnocline, in addition to spatial factors. The genetic structure of brill was homogenous, but correlated with average annual stratification and spatial factors. In sole, the genetic structure was composed of three clusters, but was only linked to a temporal factor. We explored whether the management of data poor commercial fisheries, such as in brill and turbot, might benefit from population-specific information. We conclude that the management of fish stocks has to consider species-specific genetic structures and may benefit from the documentation of the genetic seascape and life-history traits.

Identifiants

pubmed: 33664793
doi: 10.1111/eva.13139
pii: EVA13139
pmc: PMC7896710
doi:

Banques de données

Dryad
['10.5061/dryad.h70rxwdgq']

Types de publication

Journal Article

Langues

eng

Pagination

536-552

Informations de copyright

© 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

None declared.

Références

Evol Appl. 2018 Apr 06;11(8):1322-1341
pubmed: 30151043
Front Genet. 2013 May 29;4:98
pubmed: 23755071
Mol Ecol. 2005 Jul;14(8):2611-20
pubmed: 15969739
Mol Ecol Resour. 2008 Jan;8(1):103-6
pubmed: 21585727
Biol Rev Camb Philos Soc. 2015 Nov;90(4):1035-64
pubmed: 25291986
Oecologia. 2004 Feb;138(3):325-32
pubmed: 14689296
Mol Ecol. 2014 Feb;23(3):618-36
pubmed: 24354713
Mol Ecol. 2014 Jan;23(1):29-39
pubmed: 24372754
Evol Appl. 2020 May 01;13(6):1320-1334
pubmed: 32684961
Mol Ecol. 2000 Mar;9(3):368-71
pubmed: 10736036
Bioinformatics. 2010 Feb 1;26(3):419-20
pubmed: 20080509
Evol Appl. 2020 Feb 24;13(8):1854-1867
pubmed: 32908590
Science. 2004 Jul 16;305(5682):346-7
pubmed: 15256658
Mol Ecol. 2004 Mar;13(3):585-95
pubmed: 14871363
Mol Ecol Resour. 2012 Jan;12(1):185-9
pubmed: 22136175
Mol Ecol. 2007 Nov;16(21):4426-44
pubmed: 17908222
PLoS One. 2017 May 10;12(5):e0176419
pubmed: 28489878
Genomics. 2020 Jan;112(1):592-602
pubmed: 31071460
Mol Ecol. 2016 Oct;25(20):5073-5092
pubmed: 27543860
Biol Bull. 2009 Jun;216(3):373-85
pubmed: 19556601
Mol Ecol. 2009 Jun;18(12):2574-87
pubmed: 19457182
Science. 2016 Nov 11;354(6313):
pubmed: 27846577
J Fish Biol. 2019 Jun;94(6):1011-1018
pubmed: 30883746
Mol Ecol. 2017 Sep;26(17):4452-4466
pubmed: 28626905
Proc Biol Sci. 2003 Oct 22;270(1529):2097-103
pubmed: 14561271
Anim Genet. 2008 Dec;39(6):666-70
pubmed: 18786152
Nature. 2010 Jun 3;465(7298):609-12
pubmed: 20520713
Ecology. 2013 Aug;94(8):1859-70
pubmed: 24015529
PeerJ. 2018 Sep 28;6:e5684
pubmed: 30280047
Ecology. 2008 Sep;89(9):2623-32
pubmed: 18831183
Sci Adv. 2018 Mar 28;4(3):eaaq0929
pubmed: 29600272
Biol Rev Camb Philos Soc. 2019 Aug;94(4):1220-1245
pubmed: 30724447
Mol Ecol. 2011 Sep;20(17):3555-68
pubmed: 21790820
J Fish Biol. 2016 Dec;89(6):2755-2767
pubmed: 27761916
Genetics. 2000 Jun;155(2):945-59
pubmed: 10835412
Mol Ecol. 2010 Sep;19(17):3692-707
pubmed: 20723046
Evolution. 1984 Nov;38(6):1358-1370
pubmed: 28563791
Curr Zool. 2016 Dec;62(6):581-601
pubmed: 29491947
Nat Commun. 2017 Aug 16;8(1):267
pubmed: 28814718
Proc Natl Acad Sci U S A. 2009 Feb 3;106(5):1473-8
pubmed: 19164518

Auteurs

Sara Vandamme (S)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.
Animal Sciences Unit - Fisheries and Aquatic Production Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) Oostende Belgium.
Department of Animal Sciences and Aquatic Ecology Ghent University Oostende Belgium.

Joost A M Raeymaekers (JAM)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.
Faculty of Biosciences and Aquaculture Nord University Bodø Norway.

Gregory E Maes (GE)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.
Centre for Sustainable Tropical Fisheries and Aquaculture Comparative Genomics Centre College of Sciences and Engineering James Cook University Townsville QLD Australia.
Center for Human Genetics Genomics Core KU Leuven Leuven Belgium.

Karl Cottenie (K)

Department of Integrative Biology University of Guelph Guelph ON Canada.

Federico C F Calboli (FCF)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.

Eveline Diopere (E)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.

Filip A M Volckaert (FAM)

Laboratory of Biodiversity and Evolutionary Genomics KU Leuven Leuven Belgium.
CeMEB Department of Marine Sciences University of Gothenburg Gothenburg Sweden.

Classifications MeSH