Genome-wide identification of loci associated with growth in rainbow trout

dc.contributor.authorAli, Ali
dc.contributor.authorAl-Tobasei, Rafet
dc.contributor.authorLourenco, Daniela
dc.contributor.authorLeeds, Tim
dc.contributor.authorKenney, Brett
dc.contributor.authorSalem, Mohamed
dc.date.accessioned2021-05-28T16:43:34Z
dc.date.available2021-05-28T16:43:34Z
dc.date.issued2020-03-05
dc.description.abstractGrowth is a major economic production trait in aquaculture. Improvements in growth performance will reduce time and cost for fish to reach market size. However, genes underlying growth have not been fully explored in rainbow trout. A previously developed 50 K gene-transcribed SNP chip, containing ~ 21 K SNPs showing allelic imbalances potentially associated with important aquaculture production traits including body weight, muscle yield, was used for genotyping a total of 789 fish with available phenotypic data for bodyweight gain. Genotyped fish were obtained from two consecutive generations produced in the NCCCWA growth-selection breeding program. Weighted single-step GBLUP (WssGBLUP) was used to perform a genome-wide association (GWA) analysis to identify quantitative trait loci (QTL) associated with bodyweight gain. Using genomic sliding windows of 50 adjacent SNPs, 247 SNPs associated with bodyweight gain were identified. SNP-harboring genes were involved in cell growth, cell proliferation, cell cycle, lipid metabolism, proteolytic activities, chromatin modification, and developmental processes. Chromosome 14 harbored the highest number of SNPs (n = 50). An SNP window explaining the highest additive genetic variance for bodyweight gain (~ 6.4%) included a nonsynonymous SNP in a gene encoding inositol polyphosphate 5-phosphatase OCRL-1. Additionally, based on a single-marker GWA analysis, 33 SNPs were identified in association with bodyweight gain. The highest SNP explaining variation in bodyweight gain was identified in a gene coding for thrombospondin-1 (THBS1) (R2 = 0.09). The majority of SNP-harboring genes, including OCRL-1 and THBS1, were involved in developmental processes. Our results suggest that development-related genes are important determinants for growth and could be prioritized and used for genomic selection in breeding programs.en_US
dc.description.urihttps://doi.org/10.1186/s12864-020-6617-x
dc.identifierhttps://doi.org/10.13016/ndrr-wxod
dc.identifier.citationAli, A., Al-Tobasei, R., Lourenco, D. et al. Genome-wide identification of loci associated with growth in rainbow trout. BMC Genomics 21, 209 (2020).en_US
dc.identifier.urihttp://hdl.handle.net/1903/27096
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isAvailableAtCollege of Agriculture & Natural Resourcesen_us
dc.relation.isAvailableAtAnimal & Avian Sciencesen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectBody weighten_US
dc.subjectFishen_US
dc.subjectGenomic selectionen_US
dc.subjectQTLen_US
dc.subjectGWASen_US
dc.subjectWssGBLUPen_US
dc.titleGenome-wide identification of loci associated with growth in rainbow trouten_US
dc.typeArticleen_US

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