Literature DB >> 28601969

Genome-Wide Association Study Reveals Multiple Novel QTL Associated with Low Oxygen Tolerance in Hybrid Catfish.

Xiaoxiao Zhong1,2, Xiaozhu Wang1, Tao Zhou1, Yulin Jin1, Suxu Tan1, Chen Jiang1, Xin Geng1, Ning Li1, Huitong Shi1, Qifan Zeng1, Yujia Yang1, Zihao Yuan1, Lisui Bao1, Shikai Liu1, Changxu Tian1, Eric Peatman1, Qi Li2, Zhanjiang Liu3.   

Abstract

Hypoxic condition is common in aquaculture, leading to major economic losses. Genetic analysis of hypoxia tolerance, therefore, is not only scientifically significant, but also economically important. Catfish is generally regarded as being highly tolerant to low dissolved oxygen, but variations exist among various populations, strains, and species. In this study, we conducted a genome-wide association study (GWAS) using the catfish 250 K SNP array to identify quantitative trait locus (QTL) associated with tolerance to low dissolved oxygen in the channel catfish × blue catfish interspecific system. Four linkage groups (LG2, LG4, LG23, and LG29) were found to be associated with low oxygen tolerance in hybrid catfish. Multiple significant SNPs were found to be physically linked in genomic regions containing significant QTL for low oxygen tolerance on LG2 and LG23, and in those regions containing suggestively significant QTL on LG2, LG4, LG23, and LG29, suggesting that the physically linked SNPs were genuinely segregating and related with low oxygen tolerance. Analysis of genes within the associated genomic regions suggested that many of these genes were involved in VEGF, MAPK, mTOR, PI3K-Akt, P53-mediated apoptosis, and DNA damage checkpoint pathways. Comparative analysis indicated that most of the QTL at the species level, as analyzed by using the interspecific system, did not overlap with those identified from six strains of channel catfish, confirming the complexity of the genetic architecture of hypoxia tolerance in catfish.

Entities:  

Keywords:  Fish; GWAS; Genome; Hypoxia; Low oxygen tolerance; SNP

Mesh:

Substances:

Year:  2017        PMID: 28601969     DOI: 10.1007/s10126-017-9757-5

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  57 in total

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