Title |
Transcriptome-wide comparison of sequence variation in divergent ecotypes of kokanee salmon
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Published in |
BMC Genomics, May 2013
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DOI | 10.1186/1471-2164-14-308 |
Pubmed ID | |
Authors |
Matthew A Lemay, David J Donnelly, Michael A Russello |
Abstract |
High throughput next-generation sequencing technology has enabled the collection of genome-wide sequence data and revolutionized single nucleotide polymorphism (SNP) discovery in a broad range of species. When analyzed within a population genomics framework, SNP-based genotypic data may be used to investigate questions of evolutionary, ecological, and conservation significance in natural populations of non-model organisms. Kokanee salmon are recently diverged freshwater populations of sockeye salmon (Oncorhynchus nerka) that exhibit reproductive ecotypes (stream-spawning and shore-spawning) in lakes throughout western North America and northeast Asia. Current conservation and management strategies may treat these ecotypes as discrete stocks, however their recent divergence and low levels of gene flow make in-season genetic stock identification a challenge. The development of genome-wide SNP markers is an essential step towards fine-scale stock identification, and may enable a direct investigation of the genetic basis of ecotype divergence. |
X Demographics
Geographical breakdown
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 2 | 4% |
Ireland | 1 | 2% |
Sweden | 1 | 2% |
Australia | 1 | 2% |
South Africa | 1 | 2% |
United States | 1 | 2% |
Unknown | 50 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 25% |
Researcher | 11 | 19% |
Student > Master | 9 | 16% |
Professor | 4 | 7% |
Student > Bachelor | 3 | 5% |
Other | 12 | 21% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 40 | 70% |
Biochemistry, Genetics and Molecular Biology | 7 | 12% |
Environmental Science | 2 | 4% |
Unspecified | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Other | 1 | 2% |
Unknown | 5 | 9% |