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How Fish Population Genomics Can Promote Sustainable Fisheries : A Road Map

Andersson, Leif (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi,Texas A&M Univ, Dept Vet Integrat Biosci, College Stn, TX 77843 USA
Bekkevold, Dorte (author)
Tech Univ Denmark, Natl Inst Aquat Resources, Silkeborg, Denmark.
Berg, Florian (author)
Inst Marine Res, Bergen, Norway.
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Farrell, Edward D. (author)
Killybegs Fishermens Org, Killybegs, County Donegal, Ireland.
Felkel, Sabine (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
Ferreira, Mafalda S. (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
Fuentes-Pardo, Angela P. (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
Goodall, Jake (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
Pettersson, Mats (author)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
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 (creator_code:org_t)
ANNUAL REVIEWS, 2024
2024
English.
In: Annual Review of Animal Biosciences. - : ANNUAL REVIEWS. - 2165-8102 .- 2165-8110. ; 12, s. 1-20
  • Research review (peer-reviewed)
Abstract Subject headings
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  • Maintenance of genetic diversity in marine fishes targeted by commercial fishing is a grand challenge for the future. Most of these species are abundant and therefore important for marine ecosystems and food security. Here, we present a road map of how population genomics can promote sustainable fisheries. In these species, the development of reference genomes and whole genome sequencing is key, because genetic differentiation at neutral loci is usually low due to large population sizes and gene flow. First, baseline allele frequencies representing genetically differentiated populations within species must be established. These can then be used to accurately determine the composition of mixed samples, forming the basis for population demographic analysis to inform sustainably set fish quotas. SNP-chip analysis is a cost-effective method for determining baseline allele frequencies and for population identification in mixed samples. Finally, we describe how genetic marker analysis can transform stock identification and management.

Subject headings

NATURVETENSKAP  -- Biologi -- Genetik (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Genetics (hsv//eng)
LANTBRUKSVETENSKAPER  -- Lantbruksvetenskap, skogsbruk och fiske -- Fisk- och akvakulturforskning (hsv//swe)
AGRICULTURAL SCIENCES  -- Agriculture, Forestry and Fisheries -- Fish and Aquacultural Science (hsv//eng)

Keyword

fish
genomics
fishery
stock management
sustainability

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