Identification of novel genes significantly affecting growth in catfish through GWAS analysis

Ning Li, Tao Zhou, Xin Geng, Yulin Jin, Xiaozhu Wang, Shikai Liu, Xiaoyan Xu, Dongya Gao, Qi Li, Zhanjian "John" Liu

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Growth is the most important economic trait in aquaculture. Improvements in growth-related traits can enhance production, reduce costs and time to produce market-size fish. Catfish is the major aquaculture species in the United States, accounting for 65% of the US finfish production. However, the genes underlying growth traits in catfish were not well studied. Currently, the majority of the US catfish industry uses hybrid catfish derived from channel catfish female mated with blue catfish male. Interestingly, channel catfish and blue catfish exhibit differences in growth-related traits, and therefore the backcross progenies provide an efficient system for QTL analysis. In this study, we conducted a genome-wide association study for catfish body weight using the 250 K SNP array with 556 backcross progenies generated from backcross of male F1 hybrid (female channel catfish × male blue catfish) with female channel catfish. A genomic region of approximately 1 Mb on linkage group 5 was found to be significantly associated with body weight. In addition, four suggestively associated QTL regions were identified on linkage groups 1, 2, 23 and 24. Most candidate genes in the associated regions are known to be involved in muscle growth and bone development, some of which were reported to be associated with obesity in humans and pigs, suggesting that the functions of these genes may be evolutionarily conserved in controlling growth. Additional fine mapping or functional studies should allow identification of the causal genes for fast growth in catfish, and elucidation of molecular mechanisms of regulation of growth in fish.

Original languageEnglish (US)
Pages (from-to)1-13
Number of pages13
JournalMolecular Genetics and Genomics
DOIs
StateAccepted/In press - Dec 12 2017

Fingerprint

Catfishes
Genome-Wide Association Study
Ictaluridae
Growth
Genes
Aquaculture
Fishes
Body Weight
Muscle Development
Bone Development
Growth and Development
Single Nucleotide Polymorphism
Industry
Swine
Obesity
Economics
Costs and Cost Analysis

Keywords

  • Fish
  • Growth
  • GWAS
  • Hybrid
  • QTL

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Identification of novel genes significantly affecting growth in catfish through GWAS analysis. / Li, Ning; Zhou, Tao; Geng, Xin; Jin, Yulin; Wang, Xiaozhu; Liu, Shikai; Xu, Xiaoyan; Gao, Dongya; Li, Qi; Liu, Zhanjian "John".

In: Molecular Genetics and Genomics, 12.12.2017, p. 1-13.

Research output: Contribution to journalArticle

Li, Ning ; Zhou, Tao ; Geng, Xin ; Jin, Yulin ; Wang, Xiaozhu ; Liu, Shikai ; Xu, Xiaoyan ; Gao, Dongya ; Li, Qi ; Liu, Zhanjian "John". / Identification of novel genes significantly affecting growth in catfish through GWAS analysis. In: Molecular Genetics and Genomics. 2017 ; pp. 1-13.
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