Institutional Repository of Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences
Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei | |
Yu, Yang1,2![]() ![]() ![]() ![]() | |
2019-06-01 | |
Source Publication | MARINE BIOTECHNOLOGY
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ISSN | 1436-2228 |
Volume | 21Issue:3Pages:374-383 |
Corresponding Author | Li, Fuhua(fhli@qdio.ac.cn) |
Abstract | The Pacific white shrimp Litopeneaus vannmei (L. vannmei) is a predominant aquaculture shrimp species worldwide, and it is considered as the aquaculture species with the highest single output value. Advances in selective breeding have accelerated the development of L. vannmei aquaculture. Recently, the genome-wide association studies (GWAS) have been applied in aquaculture animals and markers associated with economic traits were identified. In this study, we focused on the growth trait of L. vannamei and performed GWAS to identify SNPs or genes associated with growth. Genomic regions in linkage group 7, 27, 33, and 38 were identified to be associated with body weight and body length of the shrimp. Further, candidate gene association analysis was performed in two independent populations and the result demonstrated that the SNPs in the genes protein kinase C delta type and ras-related protein Rap-2a were significantly associated with the growth trait of L. vannamei. This study showed that GWAS analysis is an efficient approach for screening trait-related markers or genes. The genomic regions and genes identified in this study are essential for further fine mapping of growth-related genes. The identified markers will provide useful information for marker-assisted selection in L. vannamei. |
Keyword | Genome-wide association studies Growth trait Candidate genes Litopenaeus vannamei |
DOI | 10.1007/s10126-019-09887-w |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key R&D Program of China[2018YFD0901301] ; National Key R&D Program of China[2018YFD0900103] ; National Natural Science Foundation of China[31830100] ; China Agriculture Research System-48 ; National Key R&D Program of China[2018YFD0901301] ; National Key R&D Program of China[2018YFD0900103] ; National Natural Science Foundation of China[31830100] ; China Agriculture Research System-48 |
WOS Research Area | Biotechnology & Applied Microbiology ; Marine & Freshwater Biology |
WOS Subject | Biotechnology & Applied Microbiology ; Marine & Freshwater Biology |
WOS ID | WOS:000468239600007 |
Publisher | SPRINGER |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.qdio.ac.cn/handle/337002/161434 |
Collection | 实验海洋生物学重点实验室 |
Corresponding Author | Li, Fuhua |
Affiliation | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Shandong, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Hainan Grand Suntop Ocean Breeding Co Ltd, Wenchang 571300, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Shandong, Peoples R China |
First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences; Center for Ocean Mega-Science, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Yu, Yang,Wang, Quanchao,Zhang, Qian,et al. Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei[J]. MARINE BIOTECHNOLOGY,2019,21(3):374-383. |
APA | Yu, Yang.,Wang, Quanchao.,Zhang, Qian.,Luo, Zheng.,Wang, Yue.,...&Li, Fuhua.(2019).Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei.MARINE BIOTECHNOLOGY,21(3),374-383. |
MLA | Yu, Yang,et al."Genome Scan for Genomic Regions and Genes Associated with Growth Trait in Pacific White Shrimp Litopeneaus vannamei".MARINE BIOTECHNOLOGY 21.3(2019):374-383. |
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Genome Scan for Geno(685KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View |
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