Development of a Standardized DNA Database for Chinook Salmon

By L. Seeb, A. Antonovich, M. Banks, T. Beacham, M. Bellinger, S. Blankenship, M. Campbell, N. Decovich, J. Garza, C. Guthrie and 10 more. 2007

204 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4452557749c5c31591cf13a34ab2ae7024c10f5e

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Citations in the corpus

When is bigger better? Early marine residence of middle and upper Columbia River spring Chinook salmon (2012, methodology): “(2009) and assigned to the mid-upper Columbia River spring Chinook salmon stock group using baseline data from the genetic database described by Seeb et al. (2007).”
Wildlife DNA forensics—bridging the gap between conservation genetics and law enforcement (2009, methodology): “Population assignment is extensively used to prosecute illegal salmon fishing in the NW Pacific (Withler et al. 2004), where large databases have been established (Seeb et al. 2007), but applications are currently limited for endangered species where data are difficult to collect.”
Species and stock identification of prey consumed by endangered southern resident killer whales in their summer range (2010, unknown): “…prey samples collected in Washington waters, we used a coast-wide data set of genotypes at 13 microsatellite loci recently developed by a consortium of laboratories (Genetic Analyses of Pacific Salmonids [GAPS]; Seeb et al. 2007) to infer the region of origin of the Chinook salmon prey samples.”
Integrating genetic data into management of marine resources: how can we do it better? (2008, background): “…Rim) scale requires extensive efforts to collect baseline data for populations from California to Alaska (or Asia) and to standardize laboratory procedures so that comparable data can be obtained by different state, federal and university laboratories (Shaklee et al. 1999; Seeb et al. 2007).”
Quantifying the contribution of juvenile migratory phenotypes in a population of Chinook salmon Oncorhynchus tshawytscha (2010, methodology): “The region of origin for each individual was determined using a microsatellite DNA baseline, the Genetic Analysis of Pacific Salmonids, which identifies Central Valley fall Chinook salmon with a reported mean accuracy of 94.5% (Seeb et al. 2007).”
An improved method for predicting the accuracy of genetic stock identification (2008, background): “These sample sizes and L are identical to those throughout the baseline gathered by the Pacific Salmon Commission (PSC) Genetic Analysis of Pacific Salmon (GAPS) Consortium (Seeb et al. 2007).”
Genetic and otolith isotopic markers identify salmon populations in the Columbia River at broad and fine geographic scales (2010, methodology): “Sophisticated genetic baselines (microsatellite and SNPs) are currently being considered by fisheries resource managers as integral tools to minimize mortality on protected stocks, and target healthy populations in the ocean fisheries (see Seeb et al. 2007).”
Summer–Fall Distribution of Stocks of Immature Sockeye Salmon in the Bering Sea as Revealed by Single-Nucleotide Polymorphisms (2010, background): “2009 ) make SNP loci ideal for high-throughput studies or studies that involve a number of laboratories (confer Seeb et al. 2007 ).”