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Source-Sink Estimates of Genetic Introgression Show Influence of Hatchery Strays on Wild Chum Salmon Populations in Prince William Sound, Alaska

Overview of attention for article published in PLOS ONE, December 2013
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Title
Source-Sink Estimates of Genetic Introgression Show Influence of Hatchery Strays on Wild Chum Salmon Populations in Prince William Sound, Alaska
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0081916
Pubmed ID
Authors

James R. Jasper, Christopher Habicht, Steve Moffitt, Rich Brenner, Jennifer Marsh, Bert Lewis, Elisabeth Creelman Fox, Zac Grauvogel, Serena D. Rogers Olive, W. Stewart Grant

Abstract

The extent to which stray, hatchery-reared salmon affect wild populations is much debated. Although experiments show that artificial breeding and culture influence the genetics of hatchery salmon, little is known about the interaction between hatchery and wild salmon in a natural setting. Here, we estimated historical and contemporary genetic population structures of chum salmon (Oncorhynchus keta) in Prince William Sound (PWS), Alaska, with 135 single nucleotide polymorphism (SNP) markers. Historical population structure was inferred from the analysis of DNA from fish scales, which had been archived since the late 1960's for several populations in PWS. Parallel analyses with microsatellites and a test based on Hardy-Weinberg proportions showed that about 50% of the fish-scale DNA was cross-contaminated with DNA from other fish. These samples were removed from the analysis. We used a novel application of the classical source-sink model to compare SNP allele frequencies in these archived fish-scales (1964-1982) with frequencies in contemporary samples (2008-2010) and found a temporal shift toward hatchery allele frequencies in some wild populations. Other populations showed markedly less introgression, despite moderate amounts of hatchery straying. The extent of introgression may reflect similarities in spawning time and life-history traits between hatchery and wild fish, or the degree that hybrids return to a natal spawning area. The source-sink model is a powerful means of detecting low levels of introgression over several generations.

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Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
Germany 1 1%
Belgium 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 16%
Researcher 12 16%
Student > Ph. D. Student 10 13%
Student > Master 9 12%
Student > Bachelor 4 5%
Other 12 16%
Unknown 16 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 36%
Unspecified 12 16%
Environmental Science 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Computer Science 2 3%
Other 5 7%
Unknown 18 24%