Literature DB >> 31392592

First Genome-wide Association Analysis for Growth Traits in the Largest Coral Reef-Dwelling Bony Fishes, the Giant Grouper (Epinephelus lanceolatus).

Lina Wu1, Yang Yang1, Bijun Li1, Wenhua Huang1, Xi Wang1, Xiaochun Liu1, Zining Meng2, Junhong Xia1.   

Abstract

The giant grouper, Epinephelus lanceolatus, is the largest coral reef-dwelling bony fish species. However, despite extremely fast growth performance and the considerable economic importance in this species, its genetic regulation of growth remains unknown. Here, we performed the first genome-wide association study (GWAS) for five growth traits in 289 giant groupers using 42,323 single nucleotide polymorphisms (SNPs) obtained by genotyping-by-sequencing (GBS). We identified a total of 36 growth-related SNPs, of which 11 SNPs reached a genome-wide significance level. The phenotypic variance explained by these SNPs varied from 7.09% for body height to 18.42% for body length. Moreover, 22 quantitative trait loci (QTLs) for growth traits, including nine significant QTLs and 13 suggestive QTLs, were found on multiple chromosomes. Interestingly, the QTL (LG17: 6934451) was shared between body weight and body height, while two significant QTLs (LG7: 22596399 and LG15: 11877836) for body length were consistent with the associated regions of total length at the genome-wide suggestive level. Eight potential candidate genes close to the associated SNPs were selected for expression analysis, of which four genes (phosphatidylinositol transfer protein cytoplasmic 1, protein tyrosine phosphatase receptor type E, alpha/beta hydrolase domain-containing protein 17C, and vascular endothelial growth factor A-A) were differentially expressed and involved in metabolism, development, response stress, etc. This study improves our understanding of the complex genetic architecture of growth in the giant grouper. The results contribute to the selective breeding of grouper species and the conservation of coral reef fishes.

Entities:  

Keywords:  GBS; GWAS; Giant grouper; Growth; QTL

Mesh:

Substances:

Year:  2019        PMID: 31392592     DOI: 10.1007/s10126-019-09916-8

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


  6 in total

Review 1.  Identification of Candidate Growth-Related SNPs and Genes Using GWAS in Brown-Marbled Grouper (Epinephelus fuscoguttatus).

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.  First High-Density Linkage Map and QTL Fine Mapping for Growth-Related Traits of Spotted Sea bass (Lateolabrax maculatus).

Authors:  Yang Liu; Haolong Wang; Haishen Wen; Yue Shi; Meizhao Zhang; Xin Qi; Kaiqiang Zhang; Qingli Gong; Jifang Li; Feng He; Yanbo Hu; Yun Li
Journal:  Mar Biotechnol (NY)       Date:  2020-05-19       Impact factor: 3.619

3.  Linkage mapping and QTL analysis of growth traits in Rhopilema esculentum.

Authors:  Bailing Chen; Yulong Li; Meilin Tian; Hao Su; Wei Sun; Yunfeng Li
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

4.  First genomic prediction and genome-wide association for complex growth-related traits in Rock Bream (Oplegnathus fasciatus).

Authors:  Jie Gong; Ji Zhao; Qiaozhen Ke; Bijun Li; Zhixiong Zhou; Jiaying Wang; Tao Zhou; Weiqiang Zheng; Peng Xu
Journal:  Evol Appl       Date:  2021-03-17       Impact factor: 4.929

5.  Genomic prediction of growth in a commercially, recreationally, and culturally important marine resource, the Australian snapper (Chrysophrys auratus).

Authors:  Jonathan Sandoval-Castillo; Luciano B Beheregaray; Maren Wellenreuther
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.542

6.  Parentage Analysis in Giant Grouper (Epinephelus lanceolatus) Using Microsatellite and SNP Markers from Genotyping-by-Sequencing Data.

Authors:  Zhuoying Weng; Yang Yang; Xi Wang; Lina Wu; Sijie Hua; Hanfei Zhang; Zining Meng
Journal:  Genes (Basel)       Date:  2021-07-05       Impact factor: 4.096

  6 in total

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