QTL fine mapping and identification of candidate genes for growth-related traits in bighead carp (Hypophthalmichehys nobilis)

被引:27
|
作者
Liu, Haiyang [1 ,2 ]
Fu, Beide [1 ]
Pang, Meixia [1 ,2 ]
Feng, Xiu [1 ]
Wang, Xinhua [1 ,2 ]
Yu, Xiaomu [1 ]
Tong, Jingou [1 ]
机构
[1] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100039, Peoples R China
关键词
Bighead carp (Hypophthalmichthys nobilis); QTL; Fine mapping; Candidate genes; Growth traits; DENSITY LINKAGE MAP; SALMON SALMO-SALAR; ARISTICHTHYS-NOBILIS; BODY-WEIGHT; MICROSATELLITE MARKERS; PROVIDES INSIGHTS; LOCI QTL; AQUACULTURE; GENOME; CONSTRUCTION;
D O I
10.1016/j.aquaculture.2016.08.039
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Bighead carp (Hypophthalmichthys nobilis) is a popular Asian aquaculture species, but its genetic improvement is still in infancy. Marker-assisted selection (MAS) can improve the selection efficiency of breeding programs in fish. In this study, we constructed a genetic linkage map in a F1 family of bighead carp using microsatellite markers. A total of 905 microsatellites were assigned onto 24 linkage groups (LGs) of a consensus map, which spanned 1631.7 cM of bighead carp genome with an average interval of 1.8 cM. Comparative genomics revealed a high level of genomic synteny between bighead carp and zebrafish. QTL mapping for growth traits was performed based on this linkage map, and three significant and 8 suggestive QTL associated with four growth traits (body length, body height, head length, body weight) were detected on LG9 and LG17, with 18.6-25.5% of phenotypic variance explained. Three candidate genes for growth were identified in or near the QTL intervals, and a SNP in one of the three genes, TP53BP2, was significantly associated with growth traits in different populations of bighead carp. These results of the high-density SSR genetic map and genome scan for QTL provide a basis for MAS and breeding programs for growth in bighead carp. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:134 / 143
页数:10
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