Literature DB >> 30635785

Genome-wide association analysis for body weight identifies candidate genes related to development and metabolism in rainbow trout (Oncorhynchus mykiss).

Rafael Vilhena Reis Neto1,2, Grazyella Massako Yoshida1,3, Jean Paul Lhorente4, José Manuel Yáñez5,6,7.   

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.

Entities:  

Keywords:  Candidate genes; GWAS; Growth; Muscle and bone development; Nutrient metabolism; SNP

Mesh:

Substances:

Year:  2019        PMID: 30635785     DOI: 10.1007/s00438-018-1518-2

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  13 in total

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Authors:  Yang Yang; Lina Wu; Xi Wu; Bijun Li; Wenhua Huang; Zhuoying Weng; Zixuan Lin; Leling Song; Yin Guo; Zining Meng; Xiaochun Liu; Junhong Xia
Journal:  Mar Biotechnol (NY)       Date:  2020-01-11       Impact factor: 3.619

2.  Detecting Local Adaptation between North and South European Atlantic Salmon Populations.

Authors:  María Gabián; Paloma Morán; María Saura; Antonio Carvajal-Rodríguez
Journal:  Biology (Basel)       Date:  2022-06-19

3.  Genome-Wide Association Analysis for Resistance to Infectious Pancreatic Necrosis Virus Identifies Candidate Genes Involved in Viral Replication and Immune Response in Rainbow Trout (Oncorhynchus mykiss).

Authors:  Francisco H Rodríguez; Raúl Flores-Mara; Grazyella M Yoshida; Agustín Barría; Ana M Jedlicki; Jean P Lhorente; Felipe Reyes-López; José M Yáñez
Journal:  G3 (Bethesda)       Date:  2019-09-04       Impact factor: 3.154

4.  Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia (Oreochromis niloticus).

Authors:  Grazyella M Yoshida; Jean P Lhorente; Katharina Correa; Jose Soto; Diego Salas; José M Yáñez
Journal:  G3 (Bethesda)       Date:  2019-08-08       Impact factor: 3.154

5.  Single-Step Genome-Wide Association Study for Resistance to Piscirickettsia salmonis in Rainbow Trout (Oncorhynchus mykiss).

Authors:  Agustin Barria; Rodrigo Marín-Nahuelpi; Pablo Cáceres; María E López; Liane N Bassini; Jean P Lhorente; José M Yáñez
Journal:  G3 (Bethesda)       Date:  2019-11-05       Impact factor: 3.154

6.  Multi-trait GWAS using imputed high-density genotypes from whole-genome sequencing identifies genes associated with body traits in Nile tilapia.

Authors:  Grazyella M Yoshida; José M Yáñez
Journal:  BMC Genomics       Date:  2021-01-15       Impact factor: 3.969

7.  Growth genes are implicated in the evolutionary divergence of sympatric piscivorous and insectivorous rainbow trout (Oncorhynchus mykiss).

Authors:  Jared A Grummer; Michael C Whitlock; Patricia M Schulte; Eric B Taylor
Journal:  BMC Ecol Evol       Date:  2021-04-22

Review 8.  Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?

Authors:  László Orbán; Xueyan Shen; Norman Phua; László Varga
Journal:  Front Genet       Date:  2021-04-21       Impact factor: 4.599

9.  Genetic architecture and genomic selection of female reproduction traits in rainbow trout.

Authors:  J D'Ambrosio; R Morvezen; S Brard-Fudulea; A Bestin; A Acin Perez; D Guéméné; C Poncet; P Haffray; M Dupont-Nivet; F Phocas
Journal:  BMC Genomics       Date:  2020-08-14       Impact factor: 3.969

10.  TSLRF: Two-Stage Algorithm Based on Least Angle Regression and Random Forest in genome-wide association studies.

Authors:  Jiali Sun; Qingtai Wu; Dafeng Shen; Yangjun Wen; Fengrong Liu; Yu Gao; Jie Ding; Jin Zhang
Journal:  Sci Rep       Date:  2019-12-02       Impact factor: 4.379

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