Literature DB >> 31201519

Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense.

Yuzhen Shi1, Aiying Liu1, Junwen Li1, Jinfa Zhang2, Baocai Zhang1, Qun Ge1, Muhammad Jamshed1, Quanwei Lu1, Shaoqi Li1, Xianghui Xiang1, Juwu Gong1, Wankui Gong1, Haihong Shang1, Xiaoying Deng1, Jingtao Pan1, Youlu Yuan3.   

Abstract

Fiber quality and yield are important traits of cotton. Quantitative trait locus (QTL) mapping is a prerequisite for marker-assisted selection (MAS) in cotton breeding. To identify QTLs for fiber quality and yield traits, 4 backcross-generation populations (BC1F1, BC1S1, BC2F1, and BC3F0) were developed from an interspecific cross between CCRI36 (Gossypium hirsutum L.) and Hai1 (G. barbadense L.). A total of 153 QTLs for fiber quality and yield traits were identified based on data from the BC1F1, BC1S1, BC2F1 and BC3F0 populations in the field and from the BC2F1 population in an artificial disease nursery using a high-density genetic linkage map with 2292 marker loci covering 5115.16 centimorgans (cM) from the BC1F1 population. These QTLs were located on 24 chromosomes, and each could explain 4.98-19.80% of the observed phenotypic variations. Among the 153 QTLs, 30 were consistent with those identified previously. Specifically, 23 QTLs were stably detected in 2 or 3 environments or generations, 6 of which were consistent with those identified previously and the other 17 of which were stable and novel. Ten QTL clusters for different traits were found and 9 of them were novel, which explained the significant correlations among some phenotypic traits in the populations. The results including these stable or consensus QTLs provide valuable information for marker-assisted selection (MAS) in cotton breeding and will help better understand the genetic basis of fiber quality and yield traits, which can then be used in QTL cloning.

Entities:  

Keywords:  Fiber quality; Interspecific backcross populations; QTL cluster; Quantitative trait locus (QTL); Yield

Mesh:

Year:  2019        PMID: 31201519     DOI: 10.1007/s00438-019-01582-8

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


  46 in total

1.  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

2.  Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development.

Authors:  Junkang Rong; F Alex Feltus; Vijay N Waghmare; Gary J Pierce; Peng W Chee; Xavier Draye; Yehoshua Saranga; Robert J Wright; Thea A Wilkins; O Lloyd May; C Wayne Smith; John R Gannaway; Jonathan F Wendel; Andrew H Paterson
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

3.  Cotton QTLdb: a cotton QTL database for QTL analysis, visualization, and comparison between Gossypium hirsutum and G. hirsutum × G. barbadense populations.

Authors:  Joseph I Said; Joseph A Knapka; Mingzhou Song; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2015-03-11       Impact factor: 3.291

4.  Inheritance of long staple fiber quality traits of Gossypium barbadense in G. hirsutum background using CSILs.

Authors:  Peng Wang; Yajuan Zhu; Xianliang Song; Zhibin Cao; Yezhang Ding; Bingliang Liu; Xiefei Zhu; Sen Wang; Wangzhen Guo; Tianzhen Zhang
Journal:  Theor Appl Genet       Date:  2012-05       Impact factor: 5.699

5.  Efficient in planta gene targeting in tomato using geminiviral replicons and the CRISPR/Cas9 system.

Authors:  Tal Dahan-Meir; Shdema Filler-Hayut; Cathy Melamed-Bessudo; Samuel Bocobza; Henryk Czosnek; Asaph Aharoni; Avraham A Levy
Journal:  Plant J       Date:  2018-05-21       Impact factor: 6.417

6.  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

7.  Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population.

Authors:  Jean-Marc Lacape; Danny Llewellyn; John Jacobs; Tony Arioli; David Becker; Steve Calhoun; Yves Al-Ghazi; Shiming Liu; Oumarou Palaï; Sophie Georges; Marc Giband; Henrique de Assunção; Paulo Augusto Vianna Barroso; Michel Claverie; Gérard Gawryziak; Janine Jean; Michèle Vialle; Christopher Viot
Journal:  BMC Plant Biol       Date:  2010-06-28       Impact factor: 4.215

8.  QTLs Analysis and Validation for Fiber Quality Traits Using Maternal Backcross Population in Upland Cotton.

Authors:  Lingling Ma; Yanpeng Zhao; Yumei Wang; Lianguang Shang; Jinping Hua
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

9.  Identification of Chromosome Segment Substitution Lines of Gossypium barbadense Introgressed in G. hirsutum and Quantitative Trait Locus Mapping for Fiber Quality and Yield Traits.

Authors:  Huanchen Zhai; Wankui Gong; Yunna Tan; Aiying Liu; Weiwu Song; Junwen Li; Zhuying Deng; Linglei Kong; Juwu Gong; Haihong Shang; Tingting Chen; Qun Ge; Yuzhen Shi; Youlu Yuan
Journal:  PLoS One       Date:  2016-09-07       Impact factor: 3.240

10.  A comprehensive meta QTL analysis for fiber quality, yield, yield related and morphological traits, drought tolerance, and disease resistance in tetraploid cotton.

Authors:  Joseph I Said; Zhongxu Lin; Xianlong Zhang; Mingzhou Song; Jinfa Zhang
Journal:  BMC Genomics       Date:  2013-11-11       Impact factor: 3.969

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  7 in total

1.  QTL mapping and candidate gene prediction for fiber yield and quality traits in a high-generation cotton chromosome substitution line with Gossypium barbadense segments.

Authors:  Quanwei Lu; Pengtao Li; Rui Yang; Xianghui Xiao; Ziyin Li; Qiuyu Wu; Juwu Gong; Qun Ge; Aiying Liu; Shengli Du; Jundi Wang; Yuzhen Shi; Youlu Yuan
Journal:  Mol Genet Genomics       Date:  2022-02-20       Impact factor: 3.291

Review 2.  Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.

Authors:  Tinashe Zenda; Songtao Liu; Anyi Dong; Jiao Li; Yafei Wang; Xinyue Liu; Nan Wang; Huijun Duan
Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

3.  Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population.

Authors:  Peng Yang; Xiaoting Sun; Xueying Liu; Wenwen Wang; Yongshui Hao; Lei Chen; Jun Liu; Hailun He; Taorui Zhang; Wanyu Bao; Yihua Tang; Xinran He; Mengya Ji; Kai Guo; Dexin Liu; Zhonghua Teng; Dajun Liu; Jian Zhang; Zhengsheng Zhang
Journal:  Front Plant Sci       Date:  2022-04-29       Impact factor: 6.627

4.  Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line.

Authors:  Quanwei Lu; Xianghui Xiao; Juwu Gong; Pengtao Li; Yan Zhao; Jiajia Feng; Renhai Peng; Yuzhen Shi; Youlu Yuan
Journal:  Front Plant Sci       Date:  2021-12-14       Impact factor: 5.753

5.  Expressed genes and their new alleles identification during fibre elongation reveal the genetic factors underlying improvements of fibre length in cotton.

Authors:  Jianjiang Ma; Yafei Jiang; Wenfeng Pei; Man Wu; Qifeng Ma; Ji Liu; Jikun Song; Bing Jia; Shang Liu; Jianyong Wu; Jinfa Zhang; Jiwen Yu
Journal:  Plant Biotechnol J       Date:  2022-07-11       Impact factor: 13.263

6.  Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton.

Authors:  Yuzhen Shi; Aiying Liu; Junwen Li; Jinfa Zhang; Shaoqi Li; Jinfeng Zhang; Liujun Ma; Rui He; Weiwu Song; Lixue Guo; Quanwei Lu; Xianghui Xiang; Wankui Gong; Juwu Gong; Qun Ge; Haihong Shang; Xiaoying Deng; Jingtao Pan; Youlu Yuan
Journal:  Theor Appl Genet       Date:  2020-03-17       Impact factor: 5.699

7.  Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population With Gossypium hirsutum Race palmeri as One Parent.

Authors:  Xueying Liu; Le Yang; Jinxia Wang; Yaqing Wang; Zhongni Guo; Qingqing Li; Jinming Yang; Youlin Wu; Li Chen; Zhonghua Teng; Dajun Liu; Dexin Liu; Kai Guo; Zhengsheng Zhang
Journal:  Front Plant Sci       Date:  2022-01-03       Impact factor: 5.753

  7 in total

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