Literature DB >> 31730428

Conservation and Management of Salmon in the Age of Genomics.

Robin S Waples1, Kerry A Naish2, Craig R Primmer3.   

Abstract

Salmon were among the first nonmodel species for which systematic population genetic studies of natural populations were conducted, often to support management and conservation. The genomics revolution has improved our understanding of the evolutionary ecology of salmon in two major ways: (a) Large increases in the numbers of genetic markers (from dozens to 104-106) provide greater power for traditional analyses, such as the delineation of population structure, hybridization, and population assignment, and (b) qualitatively new insights that were not possible with traditional genetic methods can be achieved by leveraging detailed information about the structure and function of the genome. Studies of the first type have been more common to date, largely because it has taken time for the necessary tools to be developed to fully understand the complex salmon genome. We expect that the next decade will witness many new studies that take full advantage of salmonid genomic resources.

Keywords:  artificial propagation; conservation units; evolutionary history; fishing; genome sequencing; inbreeding; local adaptation; parentage analysis; population identification; population structure; single-nucleotide polymorphisms

Mesh:

Year:  2019        PMID: 31730428     DOI: 10.1146/annurev-animal-021419-083617

Source DB:  PubMed          Journal:  Annu Rev Anim Biosci        ISSN: 2165-8102            Impact factor:   8.923


  8 in total

1.  Genomic Hatchery Introgression in Brown Trout (Salmo trutta L.): Development of a Diagnostic SNP Panel for Monitoring the Impacted Mediterranean Rivers.

Authors:  Adrián Casanova; Sandra Heras; Alba Abras; María Inés Roldán; Carmen Bouza; Manuel Vera; José Luis García-Marín; Paulino Martínez
Journal:  Genes (Basel)       Date:  2022-01-28       Impact factor: 4.096

2.  Consequences of Single-Locus and Tightly Linked Genomic Architectures for Evolutionary Responses to Environmental Change.

Authors:  Rebekah A Oomen; Anna Kuparinen; Jeffrey A Hutchings
Journal:  J Hered       Date:  2020-08-12       Impact factor: 2.645

3.  Evolution and Expression of the Immune System of a Facultatively Anadromous Salmonid.

Authors:  Thomas J Colgan; Peter A Moran; Louise C Archer; Robert Wynne; Stephen A Hutton; Philip McGinnity; Thomas E Reed
Journal:  Front Immunol       Date:  2021-02-26       Impact factor: 7.561

4.  Non-stationary and interactive effects of climate and competition on pink salmon productivity.

Authors:  Jan Ohlberger; Eric J Ward; Richard E Brenner; Mary E Hunsicker; Stormy B Haught; David Finnoff; Michael A Litzow; Tobias Schwoerer; Gregory T Ruggerone; Claudine Hauri
Journal:  Glob Chang Biol       Date:  2021-12-24       Impact factor: 13.211

5.  Genomic data support management of anadromous Arctic Char fisheries in Nunavik by highlighting neutral and putatively adaptive genetic variation.

Authors:  Xavier Dallaire; Éric Normandeau; Julien Mainguy; Jean-Éric Tremblay; Louis Bernatchez; Jean-Sébastien Moore
Journal:  Evol Appl       Date:  2021-05-27       Impact factor: 5.183

6.  Leveraging genomics to understand threats to migratory birds.

Authors:  Brenda Larison; Alec R Lindsay; Christen Bossu; Michael D Sorenson; Joseph D Kaplan; David C Evers; James Paruk; Jeffrey M DaCosta; Thomas B Smith; Kristen Ruegg
Journal:  Evol Appl       Date:  2021-04-10       Impact factor: 5.183

Review 7.  Population genomics for wildlife conservation and management.

Authors:  Paul A Hohenlohe; W Chris Funk; Om P Rajora
Journal:  Mol Ecol       Date:  2020-11-18       Impact factor: 6.185

8.  A chromosome-anchored genome assembly for Lake Trout (Salvelinus namaycush).

Authors:  Seth R Smith; Eric Normandeau; Haig Djambazian; Pubudu M Nawarathna; Pierre Berube; Andrew M Muir; Jiannis Ragoussis; Chantelle M Penney; Kim T Scribner; Gordon Luikart; Chris C Wilson; Louis Bernatchez
Journal:  Mol Ecol Resour       Date:  2021-08-14       Impact factor: 8.678

  8 in total

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