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  • 1
    Publication Date: 2011-01-15
    Description: Long-term population viability of Fraser River sockeye salmon (Oncorhynchus nerka) is threatened by unusually high levels of mortality as they swim to their spawning areas before they spawn. Functional genomic studies on biopsied gill tissue from tagged wild adults that were tracked through ocean and river environments revealed physiological profiles predictive of successful migration and spawning. We identified a common genomic profile that was correlated with survival in each study. In ocean-tagged fish, a mortality-related genomic signature was associated with a 13.5-fold greater chance of dying en route. In river-tagged fish, the same genomic signature was associated with a 50% increase in mortality before reaching the spawning grounds in one of three stocks tested. At the spawning grounds, the same signature was associated with 3.7-fold greater odds of dying without spawning. Functional analysis raises the possibility that the mortality-related signature reflects a viral infection.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Miller, Kristina M -- Li, Shaorong -- Kaukinen, Karia H -- Ginther, Norma -- Hammill, Edd -- Curtis, Janelle M R -- Patterson, David A -- Sierocinski, Thomas -- Donnison, Louise -- Pavlidis, Paul -- Hinch, Scott G -- Hruska, Kimberly A -- Cooke, Steven J -- English, Karl K -- Farrell, Anthony P -- New York, N.Y. -- Science. 2011 Jan 14;331(6014):214-7. doi: 10.1126/science.1196901.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Molecular Genetics Section, Pacific Biological Station, 3190 Hammond Bay Road, Fisheries and Oceans Canada, Nanaimo, BC V9T 6N7, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="" target="_blank"〉PubMed〈/a〉
    Keywords: *Animal Migration ; Animals ; Canada ; Female ; Fish Diseases/genetics/immunology/mortality ; *Gene Expression ; *Gene Expression Profiling ; Genome ; Gills ; Male ; Mortality ; Oligonucleotide Array Sequence Analysis ; Pacific Ocean ; Population Dynamics ; Principal Component Analysis ; Remote Sensing Technology ; *Reproduction ; Rivers ; Salmon/*genetics/*physiology ; Stress, Physiological ; Survival Analysis ; Virus Diseases/genetics/immunology/mortality/veterinary
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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