Literature DB >> 27826737

GWAS analysis of QTL for enteric septicemia of catfish and their involved genes suggest evolutionary conservation of a molecular mechanism of disease resistance.

Tao Zhou1, Shikai Liu1, Xin Geng1, Yulin Jin1, Chen Jiang1, Lisui Bao1, Jun Yao1, Yu Zhang1, Jiaren Zhang1, Luyang Sun1, Xiaozhu Wang1, Ning Li1, Suxu Tan1, Zhanjiang Liu2.   

Abstract

Disease problems cause major economic losses for the aquaculture industries. In catfish, enteric septicemia of catfish (ESC), caused by the bacterial pathogen Edwardsiella ictaluri, is the leading disease problem, causing tens of millions of dollars of annual economic losses. In this study, we conducted a genome-wide association study to determine quantitative trait loci (QTL) for resistance against ESC using an interspecific hybrid system. Five hundred fish were used in the analysis and 192 phenotypic extremes were used for genotyping with the catfish 250K SNP arrays. A genomic region on linkage group (LG) 1 was found significantly associated with ESC disease resistance. In addition, two suggestively associated QTL for ESC resistance were identified on LG 12 and LG 16. The nlrc3 duplicates were identified within all the three QTL, suggesting their importance in association with the QTL. Within the significant QTL on LG 1, 16 genes with known functions in immunity were identified. Of particular interest is the nck1 gene nearby the most significantly associated SNP. Nck1 was known to function as an adaptor to facilitating the pathogenesis of enteropathogenic Escherichia coli (EPEC) in humans. E. ictaluri and EPEC pathogens belong to the same bacterial family and share many common characteristics. The fact that nck1 is mapped in the QTL and that it was significantly upregulated in channel catfish intestine after ESC challenge suggested its candidacy of being involved in resistance/susceptibility of ESC.

Entities:  

Keywords:  Disease resistance; ESC; Fish; GWAS; Genome; QTL

Mesh:

Year:  2016        PMID: 27826737     DOI: 10.1007/s00438-016-1269-x

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


  69 in total

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

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7.  Increased Alternative Splicing as a Host Response to Edwardsiella ictaluri Infection in Catfish.

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