ArticleMolecular genetics and genomics : MGG2019
Genome-wide association analysis for body weight identifies candidate genes related to development and metabolism in rainbow trout (Oncorhynchus mykiss).
Article in Molecular genetics and genomics : MGG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 73 citations in OpenAlex.
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- Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (Animals : an open access journal from MDPI · 2025Article
- Genome-Wide Association Study for Weight-Related Traits inAnimals : an open access journal from MDPI · 2025Article
- Genetic Basis of Low-Salinity Tolerance in the Pacific Oyster (Crassostrea gigas) as Revealed by Estimation of Genetic Parameters and Genome-Wide Association Study.Marine biotechnology (New York, N.Y.) · 2025Article
- Advancing genetic improvement in the omics era: status and priorities for United States aquaculture.BMC genomics · 2025Review
- Genome-wide association analysis of resistance to bacterial cold-water disease in an important rainbow trout aquaculture breeding population.Frontiers in genetics · 2025Article
- Genome-wide association and transcriptomic analysis and the identification of growth-related genes in Macrobrachium nipponense.BMC genomics · 2024Article
- Detecting Local Adaptation between North and South European Atlantic Salmon Populations.Biology · 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
- Temporal and region-specific variations in genome-wide inbreeding effects on female size and reproduction traits of rainbow trout.Evolutionary applications · 2022Article
- Development of a High-Density 665 K SNP Array for Rainbow Trout Genome-Wide Genotyping.Frontiers in genetics · 2022Article
- Endoplasmic reticulum stress as a key mechanism in stunted growth of seawater rainbow trout (Oncorhynchus mykiss).BMC genomics · 2021Article
- Growth genes are implicated in the evolutionary divergence of sympatric piscivorous and insectivorous rainbow trout (Oncorhynchus mykiss).BMC ecology and evolution · 2021Article
- Multi-trait GWAS using imputed high-density genotypes from whole-genome sequencing identifies genes associated with body traits in Nile tilapia.BMC genomics · 2021Article
- Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?Frontiers in genetics · 2021Review
- Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout,Frontiers in genetics · 2021Article
- Genetic architecture and genomic selection of female reproduction traits in rainbow trout.BMC genomics · 2020Article
- Transcriptomic Response to Selective Breeding for Fast Growth in Rainbow Trout (Oncorhynchus mykiss).Marine biotechnology (New York, N.Y.) · 2020Article
- Identification of Candidate Growth-Related SNPs and Genes Using GWAS in Brown-Marbled Grouper (Epinephelus fuscoguttatus).Marine biotechnology (New York, N.Y.) · 2020Article
- Genome-wide identification of loci associated with growth in rainbow trout.BMC genomics · 2020Article
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
Growth is one of the most important traits from both a physiological and economic perspective in aquaculture species. Thus, identifying the genomic regions and genes underpinning genetic variation for this trait is of particular interest in several fish species, including rainbow trout. In this work, we perform a genome-wide association study (GWAS) to identify the genomic regions associated with body weight at tagging (BWT) and at 18 months (BW18M) using a dense SNP panel (57 k) and 4596 genotyped rainbow trout from 105 full-sib families belonging to a Chilean breeding population. Analysis was performed by means of single-step GBLUP approach. Genetic variance explained by 20 adjacent SNP windows across the whole genome is reported. To further explore candidate genes, we focused on windows that explained the highest proportion of genetic variance in the top 10 chromosomes for each trait. The main window from the top 10 chromosomes was explored by BLAST using the first and last SNP position of each window to determine the target nucleotide sequence. As expected, the percentage of genetic variance explained by windows was relatively low, due to the polygenic nature of body weight. The most important genomic region for BWT and BW18M were located on chromosomes 15 and 24 and they explained 2.14% and 3.02% of the genetic variance for each trait, respectively. Candidate genes including several growth factors, genes involved in development of skeletal muscle and bone tissue and nutrient metabolism were identified within the associated regions for both traits BWT and BW18M. These results indicate that body weight is polygenic in nature in rainbow trout, with the most important loci explaining as much as 3% of the genetic variance for the trait. The genes identified here represent good candidates for further functional validation to uncover biological mechanisms underlying variation for growth in rainbow trout.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.