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Genome-Wide Association Analysis With A 50k Transcribed Gene Snp-Chip Identifies Qtl Affecting Muscle Yield In Rainbow Trout, Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds
Genome-Wide Association Analysis With A 50k Transcribed Gene Snp-Chip Identifies Qtl Affecting Muscle Yield In Rainbow Trout, Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds
Faculty & Staff Scholarship
Detection of coding/functional SNPs that change the biological function of a gene may lead to identification of putative causative alleles within QTL regions and discovery of genetic markers with large effects on phenotypes. This study has two-fold objectives, first to develop, and validate a 50K transcribed gene SNP-chip using RNA-Seq data. To achieve this objective, two bioinformatics pipelines, GATK and SAMtools, were used to identify ∼21K transcribed SNPs with allelic imbalances associated with important aquaculture production traits including body weight, muscle yield, muscle fat content, shear force, and whiteness in addition to resistance/susceptibility to bacterial cold-water disease (BCWD). SNPs ere …
Pleiotropic And Epistatic Network-Based Discovery: Integrated Networks For Target Gene Discovery, Deborah Weighill, Piet Jones, Manesh Shah, Priya Ranjan, Wellington Muchero, Jeremy Schmutz, Avinash Sreedasyam, David Macaya-Sanz, Robert Sykes, Nan Zhao, Madhavi Z. Martin, Stephen Difazio, Timothy J. Tschaplinski, Gerald Tuskan, Daniel Jacobson
Pleiotropic And Epistatic Network-Based Discovery: Integrated Networks For Target Gene Discovery, Deborah Weighill, Piet Jones, Manesh Shah, Priya Ranjan, Wellington Muchero, Jeremy Schmutz, Avinash Sreedasyam, David Macaya-Sanz, Robert Sykes, Nan Zhao, Madhavi Z. Martin, Stephen Difazio, Timothy J. Tschaplinski, Gerald Tuskan, Daniel Jacobson
Faculty & Staff Scholarship
Biological organisms are complex systems that are composed of functional networks of interacting molecules and macro-molecules. Complex phenotypes are the result of orchestrated, hierarchical, heterogeneous collections of expressed genomic variants. However, the effects of these variants are the result of historic selective pressure and current environmental and epigenetic signals, and, as such, their co-occurrence can be seen as genome-wide correlations in a number of different manners. Biomass recalcitrance (i.e., the resistance of plants to degradation or deconstruction, which ultimately enables access to a plant’s sugars) is a complex polygenic phenotype of high importance to biofuels initiatives. This study makes use …