Literature DB >> 25796191

Construction of a high-density genetic map and lint percentage and cottonseed nutrient trait QTL identification in upland cotton (Gossypium hirsutum L.).

Dexin Liu1, Fang Liu1, Xiaoru Shan1, Jian Zhang1, Shiyi Tang1, Xiaomei Fang1, Xueying Liu1, Wenwen Wang1, Zhaoyun Tan1, Zhonghua Teng1, Zhengsheng Zhang2, Dajun Liu3.   

Abstract

Upland cotton plays a critical role not only in the textile industry, but also in the production of important secondary metabolites, such as oil and proteins. Construction of a high-density linkage map and identifying yield and seed trait quantitative trail loci (QTL) are prerequisites for molecular marker-assisted selective breeding projects. Here, we update a high-density upland cotton genetic map from recombinant inbred lines. A total of 25,313 SSR primer pairs were screened for polymorphism between Yumian 1 and T586, and 1712 SSR primer pairs were used to genotype the mapping population and construct a map. An additional 1166 loci have been added to our previously published map with 509 SSR markers. The updated genetic map spans a total recombinant length of 3338.2 cM and contains 1675 SSR loci and nine morphological markers, with an average interval of 1.98 cM between adjacent markers. Green lint (Lg) mapped on chromosome 15 in a previous report is mapped in an interval of 2.6 cM on chromosome 21. Based on the map and phenotypic data from multiple environments, 79 lint percentage and seed nutrient trait QTL are detected. These include 8 lint percentage, 13 crude protein, 15 crude oil, 8 linoleic, 10 oleic, 13 palmitic, and 12 stearic acid content QTL. They explain 3.5-62.7 % of the phenotypic variation observed. Four morphological markers identified have a major impact on lint percentage and cottonseed nutrients traits. In this study, our genetic map provides new sights into the tetraploid cotton genome. Furthermore, the stable QTL and morphological markers could be used for fine-mapping and map-based cloning.

Entities:  

Keywords:  Genetic map; Gossypium hirsutum L.; Lint percentage; Nutrient traits; Quantitative trait loci (QTL); Upland cotton

Mesh:

Year:  2015        PMID: 25796191     DOI: 10.1007/s00438-015-1027-5

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


  17 in total

1.  Genetic mapping and comparative analysis of seven mutants related to seed fiber development in cotton.

Authors:  Junkang Rong; Gary J Pierce; Vijay N Waghmare; Carl J Rogers; Aparna Desai; Peng W Chee; O Lloyd May; John R Gannaway; Jonathan F Wendel; Thea A Wilkins; Andrew H Paterson
Journal:  Theor Appl Genet       Date:  2005-10-11       Impact factor: 5.699

2.  Linkage in Upland Cotton.

Authors:  S G Stephens
Journal:  Genetics       Date:  1955-11       Impact factor: 4.562

3.  Toward sequencing cotton (Gossypium) genomes.

Authors:  Z Jeffrey Chen; Brian E Scheffler; Elizabeth Dennis; Barbara A Triplett; Tianzhen Zhang; Wangzhen Guo; Xiaoya Chen; David M Stelly; Pablo D Rabinowicz; Christopher D Town; Tony Arioli; Curt Brubaker; Roy G Cantrell; Jean-Marc Lacape; Mauricio Ulloa; Peng Chee; Alan R Gingle; Candace H Haigler; Richard Percy; Sukumar Saha; Thea Wilkins; Robert J Wright; Allen Van Deynze; Yuxian Zhu; Shuxun Yu; Ibrokhim Abdurakhmonov; Ishwarappa Katageri; P Ananda Kumar; Yusuf Zafar; John Z Yu; Russell J Kohel; Jonathan F Wendel; Andrew H Paterson
Journal:  Plant Physiol       Date:  2007-12       Impact factor: 8.340

Review 4.  Gene expression changes and early events in cotton fibre development.

Authors:  Jinsuk J Lee; Andrew W Woodward; Z Jeffrey Chen
Journal:  Ann Bot       Date:  2007-09-27       Impact factor: 4.357

5.  A comparative meta-analysis of QTL between intraspecific Gossypium hirsutum and interspecific G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Mingzhou Song; Hantao Wang; Zhongxu Lin; Xianlong Zhang; David D Fang; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2014-12-12       Impact factor: 3.291

6.  QTL mapping of yield and yield components for elite hybrid derived-RILs in upland cotton.

Authors:  Baohua Wang; Wangzhen Guo; Xiefei Zhu; Yaoting Wu; Naitai Huang; Tianzhen Zhang
Journal:  J Genet Genomics       Date:  2007-01       Impact factor: 4.275

7.  The draft genome of a diploid cotton Gossypium raimondii.

Authors:  Kunbo Wang; Zhiwen Wang; Fuguang Li; Wuwei Ye; Junyi Wang; Guoli Song; Zhen Yue; Lin Cong; Haihong Shang; Shilin Zhu; Changsong Zou; Qin Li; Youlu Yuan; Cairui Lu; Hengling Wei; Caiyun Gou; Zequn Zheng; Ye Yin; Xueyan Zhang; Kun Liu; Bo Wang; Chi Song; Nan Shi; Russell J Kohel; Richard G Percy; John Z Yu; Yu-Xian Zhu; Jun Wang; Shuxun Yu
Journal:  Nat Genet       Date:  2012-08-26       Impact factor: 38.330

8.  QTL mapping of yield and fiber traits based on a four-way cross population in Gossypium hirsutum L.

Authors:  Hongde Qin; Wangzhen Guo; Yuan-Ming Zhang; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2008-07-05       Impact factor: 5.699

9.  Genome sequence of the cultivated cotton Gossypium arboreum.

Authors:  Fuguang Li; Guangyi Fan; Kunbo Wang; Fengming Sun; Youlu Yuan; Guoli Song; Qin Li; Zhiying Ma; Cairui Lu; Changsong Zou; Wenbin Chen; Xinming Liang; Haihong Shang; Weiqing Liu; Chengcheng Shi; Guanghui Xiao; Caiyun Gou; Wuwei Ye; Xun Xu; Xueyan Zhang; Hengling Wei; Zhifang Li; Guiyin Zhang; Junyi Wang; Kun Liu; Russell J Kohel; Richard G Percy; John Z Yu; Yu-Xian Zhu; Jun Wang; Shuxun Yu
Journal:  Nat Genet       Date:  2014-05-18       Impact factor: 38.330

10.  Toward allotetraploid cotton genome assembly: integration of a high-density molecular genetic linkage map with DNA sequence information.

Authors:  Liang Zhao; Lv Yuanda; Cai Caiping; Tong Xiangchao; Chen Xiangdong; Zhang Wei; Du Hao; Guo Xiuhua; Guo Wangzhen
Journal:  BMC Genomics       Date:  2012-10-09       Impact factor: 3.969

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  20 in total

1.  Enriching an intraspecific genetic map and identifying QTL for fiber quality and yield component traits across multiple environments in Upland cotton (Gossypium hirsutum L.).

Authors:  Xueying Liu; Zhonghua Teng; Jinxia Wang; Tiantian Wu; Zhiqin Zhang; Xianping Deng; Xiaomei Fang; Zhaoyun Tan; Iftikhar Ali; Dexin Liu; Jian Zhang; Dajun Liu; Fang Liu; Zhengsheng Zhang
Journal:  Mol Genet Genomics       Date:  2017-07-21       Impact factor: 3.291

2.  Identification and analysis of oil candidate genes reveals the molecular basis of cottonseed oil accumulation in Gossypium hirsutum L.

Authors:  Zhibin Zhang; Juwu Gong; Zhen Zhang; Wankui Gong; Junwen Li; Yuzhen Shi; Aiying Liu; Qun Ge; Jingtao Pan; Senmiao Fan; Xiaoying Deng; Shaoqi Li; Quanjia Chen; Youlu Yuan; Haihong Shang
Journal:  Theor Appl Genet       Date:  2021-10-29       Impact factor: 5.699

Review 3.  Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array.

Authors:  Yu Chen; Yang Gao; Pengyun Chen; Juan Zhou; Chuanyun Zhang; Zhangqiang Song; Xuehan Huo; Zhaohai Du; Juwu Gong; Chengjie Zhao; Shengli Wang; Jingxia Zhang; Furong Wang; Jun Zhang
Journal:  Theor Appl Genet       Date:  2022-05-16       Impact factor: 5.574

4.  QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense.

Authors:  Jianjiang Ma; Wenfeng Pei; Qifeng Ma; Yanhui Geng; Guoyuan Liu; Ji Liu; Yupeng Cui; Xia Zhang; Man Wu; Xingli Li; Dan Li; XinShan Zang; Jikun Song; Shurong Tang; Jinfa Zhang; Shuxun Yu; Jiwen Yu
Journal:  Theor Appl Genet       Date:  2019-06-24       Impact factor: 5.699

5.  Detection of Favorable QTL Alleles and Candidate Genes for Lint Percentage by GWAS in Chinese Upland Cotton.

Authors:  Junji Su; Shuli Fan; Libei Li; Hengling Wei; Caixiang Wang; Hantao Wang; Meizhen Song; Chi Zhang; Lijiao Gu; Shuqi Zhao; Guangzhi Mao; Chengshe Wang; Chaoyou Pang; Shuxun Yu
Journal:  Front Plant Sci       Date:  2016-10-21       Impact factor: 5.753

6.  Fine mapping and RNA-Seq unravels candidate genes for a major QTL controlling multiple fiber quality traits at the T1 region in upland cotton.

Authors:  Dexin Liu; Jian Zhang; Xueying Liu; Wenwen Wang; Dajun Liu; Zhonghua Teng; Xiaomei Fang; Zhaoyun Tan; Shiyi Tang; Jinghong Yang; Jianwei Zhong; Zhengsheng Zhang
Journal:  BMC Genomics       Date:  2016-04-19       Impact factor: 3.969

7.  Identification of stable quantitative trait loci (QTLs) for fiber quality traits across multiple environments in Gossypium hirsutum recombinant inbred line population.

Authors:  Muhammad Jamshed; Fei Jia; Juwu Gong; Koffi Kibalou Palanga; Yuzhen Shi; Junwen Li; Haihong Shang; Aiying Liu; Tingting Chen; Zhen Zhang; Juan Cai; Qun Ge; Zhi Liu; Quanwei Lu; Xiaoying Deng; Yunna Tan; Harun Or Rashid; Zareen Sarfraz; Murtaza Hassan; Wankui Gong; Youlu Yuan
Journal:  BMC Genomics       Date:  2016-03-08       Impact factor: 3.969

8.  Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population.

Authors:  Cong Li; Yating Dong; Tianlun Zhao; Ling Li; Cheng Li; En Yu; Lei Mei; M K Daud; Qiuling He; Jinhong Chen; Shuijin Zhu
Journal:  Front Plant Sci       Date:  2016-09-08       Impact factor: 5.753

9.  Construction of a high-density genetic map by specific locus amplified fragment sequencing (SLAF-seq) and its application to Quantitative Trait Loci (QTL) analysis for boll weight in upland cotton (Gossypium hirsutum.).

Authors:  Zhen Zhang; Haihong Shang; Yuzhen Shi; Long Huang; Junwen Li; Qun Ge; Juwu Gong; Aiying Liu; Tingting Chen; Dan Wang; Yanling Wang; Koffi Kibalou Palanga; Jamshed Muhammad; Weijie Li; Quanwei Lu; Xiaoying Deng; Yunna Tan; Weiwu Song; Juan Cai; Pengtao Li; Harun or Rashid; Wankui Gong; Youlu Yuan
Journal:  BMC Plant Biol       Date:  2016-04-11       Impact factor: 4.215

10.  Mapping of fiber quality QTLs reveals useful variation and footprints of cotton domestication using introgression lines.

Authors:  Shu-Wen Zhang; Xie-Fei Zhu; Liu-Chun Feng; Xiang Gao; Biao Yang; Tian-Zhen Zhang; Bao-Liang Zhou
Journal:  Sci Rep       Date:  2016-08-23       Impact factor: 4.379

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