ArticleGenetics, selection, evolution : GSE2019
Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population.
Article in Genetics, selection, evolution : GSE, 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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25 citing papers in PubMed, 64 citations in OpenAlex.
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- Exploration of gene presence/absence variations inOpen biology · 2025Article
- 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 Study of Resistance to Largemouth Bass Ranavirus (LMBV) inInternational journal of molecular sciences · 2024Article
- Genome-wide association analysis of the resistance to infectious hematopoietic necrosis virus in two rainbow trout aquaculture lines confirms oligogenic architecture with several moderate effect quantitative trait loci.Frontiers in genetics · 2024Article
- First large-scale genomic prediction in the honey bee.Heredity · 2023Article
- Genome-wide association mapping and genomic prediction of agronomical traits and breeding values in Iranian wheat under rain-fed and well-watered conditions.BMC genomics · 2022Article
- Genomic selection applications can improve the environmental performance of aquatics: A case study on the heat tolerance of abalone.Evolutionary applications · 2022Article
- Application of Bayesian genomic prediction methods to genome-wide association analyses.Genetics, selection, evolution : GSE · 2022Review
- A genomic-based vision on the genetic diversity and key performance traits in selectively bred Arctic charr (Evolutionary applications · 2022Article
- Development of a High-Density 665 K SNP Array for Rainbow Trout Genome-Wide Genotyping.Frontiers in genetics · 2022Article
- Genomic Selection in Aquaculture Species.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Whole-genome association study searching for QTL for Aeromonas salmonicida resistance in rainbow trout.Scientific reports · 2021Article
- Exploring genetic resistance to infectious salmon anaemia virus in Atlantic salmon by genome-wide association and RNA sequencing.BMC genomics · 2021Article
- Genomic Selection and Genome-wide Association Study for Feed-Efficiency Traits in a Farmed Nile Tilapia (Frontiers in genetics · 2021Article
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8 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundInfectious hematopoietic necrosis (IHN) is a disease of salmonid fish that is caused by the IHN virus (IHNV). Under intensive aquaculture conditions, IHNV can cause significant mortality and economic losses. Currently, there is no proven and cost-effective method for IHNV control. Clear Springs Foods, Inc. has been applying selective breeding to improve genetic resistance to IHNV in their rainbow trout breeding program. The goals of this study were to elucidate the genetic architecture of IHNV resistance in this commercial population by performing genome-wide association studies (GWAS) with multiple regression single-step methods and to assess if genomic selection can improve the accuracy of genetic merit predictions over conventional pedigree-based best linear unbiased prediction (PBLUP) using cross-validation analysis.
resultsTen moderate-effect quantitative trait loci (QTL) associated with resistance to IHNV that jointly explained up to 42% of the additive genetic variance were detected in our GWAS. Only three of the 10 QTL were detected by both single-step Bayesian multiple regression (ssBMR) and weighted single-step GBLUP (wssGBLUP) methods. The accuracy of breeding value predictions with wssGBLUP (0.33-0.39) was substantially better than with PBLUP (0.13-0.24).
conclusionsOur comprehensive genome-wide scan for QTL revealed that genetic resistance to IHNV is controlled by the oligogenic inheritance of up to 10 moderate-effect QTL and many small-effect loci in this commercial rainbow trout breeding population. Taken together, our results suggest that whole genome-enabled selection models will be more effective than the conventional pedigree-based method for breeding value estimation or the marker-assisted selection approach for improving the genetic resistance of rainbow trout to IHNV in this population.
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