ArticleBMC genomics2020
Genome-wide identification of loci associated with growth in rainbow trout.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 56 citations in OpenAlex.
- A Genome-Wide Association Study Identifies Candidate SNPs and Genes Associated with Body Weight in the Northern Snakehead (Animals : an open access journal from MDPI · 2026Article
- Predominantly Independent Genetic Control Between Growth and Visceral White Nodules Disease Resistance Revealed by High-Density Linkage Map and QTL Mapping inInternational journal of molecular sciences · 2026Article
- Exploration of gene presence/absence variations inOpen biology · 2025Article
- Chromosome level genome assembly and annotation of the Swanson rainbow trout homozygous line.Scientific data · 2025Article
- Optimizing reproductive performance in pangasius catfish broodstock: A review of dietary and molecular strategies.Veterinary and animal science · 2024Review
- Transcriptomic and Epigenomic Responses to Cortisol-Mediated Stress in Rainbow Trout (International journal of molecular sciences · 2024Article
- Functional annotation of regulatory elements in rainbow trout uncovers roles of the epigenome in genetic selection and genome evolution.GigaScience · 2024Article
- Investigating the role of genetic variation inEcology and evolution · 2023Article
- Assembly of Genome and Resequencing Provide Insights into Genetic Differentiation between Parents of Hulong Hybrid Grouper (International journal of molecular sciences · 2023Article
- Genetic architecture of acute hyperthermia resistance in juvenile rainbow trout (Oncorhynchus mykiss) and genetic correlations with production traits.Genetics, selection, evolution : GSE · 2023Article
- Article
- Genomic selection models substantially improve the accuracy of genetic merit predictions for fillet yield and body weight in rainbow trout using a multi-trait model and multi-generation progeny testing.Genetics, selection, evolution : GSE · 2023Article
- Identification of differentially expressed genes and SNPs linked to harvest body weight of genetically improved rohu carp,Frontiers in genetics · 2023Article
- Article
- A genomic-based vision on the genetic diversity and key performance traits in selectively bred Arctic charr (Evolutionary applications · 2022Article
- Increased accuracy of genomic predictions for growth under chronic thermal stress in rainbow trout by prioritizing variants from GWAS using imputed sequence data.Evolutionary applications · 2022Article
- Genome-wide identification of antisense lncRNAs and their association with susceptibility toFrontiers in immunology · 2022Article
- Endoplasmic reticulum stress as a key mechanism in stunted growth of seawater rainbow trout (Oncorhynchus mykiss).BMC genomics · 2021Article
- Hybridization alters growth and migratory life-history expression of native trout.Evolutionary applications · 2021Article
- Genomic predictions for fillet yield and firmness in rainbow trout using reduced-density SNP panels.BMC genomics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundGrowth 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.
resultsA 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) (R
conclusionThe 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.
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