Construction of a High-Density Genetic Linkage Map and QTL Mapping for Growth-Related Traits in Takifugu bimaculatus

被引:21
|
作者
Shi, Yue [1 ]
Zhou, Zhixiong [1 ]
Liu, Bo [2 ]
Kong, Shengnan [1 ]
Chen, Baohua [1 ]
Bai, Huaqiang [1 ]
Li, Leibin [2 ]
Pu, Fei [1 ]
Xu, Peng [1 ,3 ,4 ]
机构
[1] Xiamen Univ, State Key Lab Marine Environm Sci, Coll Ocean & Earth Sci, Xiamen, Peoples R China
[2] Fisheries Res Inst Fujian, Xiamen, Peoples R China
[3] Xiamen Univ, Fujian Key Lab Genet & Breeding Marine Organisms, Xiamen, Peoples R China
[4] Xiamen Univ, Shenzhen Res Inst, Shenzhen, Peoples R China
关键词
Takifugu bimaculatus; Genetic linkage map; Growth-related traits; Comparative genomics; QTL; GENOME EVOLUTION; TOOL SET; INSIGHTS; REVEALS; LOCI; FRUCTOSE-1,6-BISPHOSPHATASE; DIFFERENTIATION; IDENTIFICATION; INTEGRATION; SEQUENCE;
D O I
10.1007/s10126-019-09938-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Takifugu bimaculatus is a euryhaline species, distributed ranging from the southern Yellow Sea to the South China Sea. Their tolerance to a wide range of salinity and temperature, coupled with a desirable firm texture, makes T. bimaculatus a strong candidate for Takifugu aquaculture in subtropics areas. Due to the increasing demand in markets and emerging of the Takifugu aquaculture industry, close attention has been paid to improvement on the T. bimaculatus production. In aquaculture, the great effort has been put into marker-assisted selective breeding, and efficient improvement was realized. However, few genetic resources on T. bimaculatus are provided so far. Aiming at understanding the genetic basis underlying important economic growth traits, facilitating genetic improvement and enriching the genetic resource in T. bimaculatus, we constructed the first genetic linkage map for T. bimaculatus via double digestion restriction-site association DNA sequencing and conducted quantitative traits locus (QTL) mapping for growth-related traits. The map comprised 1976 single nucleotide polymorphism markers distributed on 22 linkage groups (LG), with a total genetic distance of 2039.74 cM. Based on the linkage map, a chromosome-level assembly was constructed whereby we carried out comparative genomics analysis, verifying the high accuracy on contigs ordering of the linkage map. On the other hand, 18 QTLs associated with growth traits were detected on LG6, LG7, LG8, LG10, LG20, and LG21 with phenotypical variance ranging from 15.1 to 56.4%. Candidate genes participating in cartilage development, fat accumulation, and other growth-related regulation activities were identified from these QTLs, including col11a1, foxa2, and thrap3. The linkage map provided a solid foundation for chromosomes assembly and refinement. QTLs reported here unraveled the genomic architecture of some growth traits, which will advance the investigation of aquaculture breeding efforts in T. bimaculatus.
引用
收藏
页码:130 / 144
页数:15
相关论文
共 50 条
  • [31] Construction of high-density genetic linkage maps and QTL mapping in the golden pompano
    Zhang, Guoqing
    Zhang, Xinhui
    Ye, Hengzhen
    Jiang, Shoujia
    Yu, Hui
    Li, Jia
    Shi, Qiong
    Chen, Guohua
    Zhou, Zhi
    Luo, Jian
    You, Xinxin
    AQUACULTURE, 2018, 482 : 90 - 95
  • [32] ddRADseq-assisted construction of a high-density SNP genetic map and QTL fine mapping for growth-related traits in the spotted scat (Scatophagus argus)
    Yang, Wei
    Wang, Yaorong
    Jiang, Dongneng
    Tian, Changxu
    Zhu, Chunhua
    Li, Guangli
    Chen, Huapu
    BMC GENOMICS, 2020, 21 (01)
  • [33] Construction of the First High-Density Genetic Linkage Map and Analysis of Quantitative Trait Loci for Growth-Related Traits in Sinonovacula constricta
    Donghong Niu
    Yunchao Du
    Ze Wang
    Shumei Xie
    Haideng Nguyen
    Zhiguo Dong
    Heding Shen
    Jiale Li
    Marine Biotechnology, 2017, 19 : 488 - 496
  • [34] Construction of a High-Density Linkage Map and QTL Fine Mapping for Growth- and Sex-Related Traits in Channel Catfish (Ictalurus punctatus)
    Zhang, Shiyong
    Zhang, Xinhui
    Chen, Xiaohui
    Xu, Tengfei
    Wang, Minghua
    Qin, Qin
    Zhong, Liqiang
    Jiang, Hucheng
    Zhu, Xiaohua
    Liu, Hongyan
    Shao, Junjie
    Zhu, Zhifei
    Shi, Qiong
    Bian, Wenji
    You, Xinxin
    FRONTIERS IN GENETICS, 2019, 10
  • [35] Construction of a high-density genetic linkage map and fine mapping of QTLs for growth and sex-related traits in red-tail catfish (Hemibagrus wyckioides)
    Zhou, Yu-Lin
    Wang, Zhong-Wei
    Guo, Xin-Fen
    Wu, Jun-Jie
    Lu, Wei-Jia
    Zhou, Li
    Gui, Jian-Fang
    AQUACULTURE, 2021, 531
  • [36] Construction of a high-density linkage map and fine mapping of QTL for growth in Asian seabass
    Wang, Le
    Wan, Zi Yi
    Bai, Bin
    Huang, Shu Qing
    Chua, Elaine
    Lee, May
    Pang, Hong Yan
    Wen, Yan Fei
    Liu, Peng
    Liu, Feng
    Sun, Fei
    Lin, Grace
    Ye, Bao Qing
    Yue, Gen Hua
    SCIENTIFIC REPORTS, 2015, 5
  • [37] Construction of a high-density linkage map and mapping of sex determination and growth-related loci in the mandarin fish (Siniperca chuatsi)
    Sun, Chengfei
    Niu, Yongchaox
    Ye, Xing
    Dong, Junjian
    Hu, Wushu
    Zeng, Qingkai
    Chen, Zhihang
    Tian, Yuanyuan
    Zhang, Jin
    Lu, Maixin
    BMC GENOMICS, 2017, 18
  • [38] A High-Density Genetic Linkage Map and QTL Mapping for Sex in Black Tiger Shrimp (Penaeus monodon)
    Guo, Liang
    Xu, Yu-Hui
    Zhang, Nan
    Zhou, Fa-Lin
    Huang, Jian-Hua
    Liu, Bao-Suo
    Jiang, Shi-Gui
    Zhang, Dian-Chang
    FRONTIERS IN GENETICS, 2019, 10
  • [39] A high-density genetic map and QTL mapping of leaf traits and glucosinolates in Barbarea vulgaris
    Liu, Tong-jin
    Zhang, You-jun
    Agerbirk, Niels
    Wang, Hai-ping
    Wei, Xiao-chun
    Song, Jiang-ping
    He, Hong-ju
    Zhao, Xue-zhi
    Zhang, Xiao-hui
    Li, Xi-xiang
    BMC GENOMICS, 2019, 20 (1)
  • [40] Construction of the First High-Density Genetic Linkage Map and QTL Mapping of Shikimic Acid Content in Liquidambar
    Fan, Yingming
    Li, Hongxuan
    Li, Ying
    Bao, Fen
    Zhan, Dingju
    Pang, Zhenwu
    Zhao, Jian
    Zhang, Jinfeng
    FORESTS, 2024, 15 (09):