Literature DB >> 24428209

Association analysis of fiber quality traits and exploration of elite alleles in Upland cotton cultivars/accessions (Gossypium hirsutum L.).

Caiping Cai1, Wenxue Ye, Tianzhen Zhang, Wangzhen Guo.   

Abstract

Exploring the elite alleles and germplasm accessions related to fiber quality traits will accelerate the breeding of cotton for fiber quality improvement. In this study, 99 Gossypium hirsutum L. accessions with diverse origins were used to perform association analysis of fiber quality traits using 97 polymorphic microsatellite marker primer pairs. A total of 107 significant marker-trait associations were detected for three fiber quality traits under three different environments, with 70 detected in two or three environments and 37 detected in only one environment. Among the 70 significant marker-trait associations, 52.86% were reported previously, implying that these are stable loci for target traits. Furthermore, we detected a large number of elite alleles associated simultaneously with two or three traits. These elite alleles were mainly from accessions collected in China, introduced to China from the United States, or rare alleles with a frequency of less than 5%. No one cultivar contained more than half of the elite alleles, but 10 accessions were collected from China and the two introduced from the United States did contain more than half of these alleles. Therefore, there is great potential for mining elite alleles from germplasm accessions for use in fiber quality improvement in modern cotton breeding.
© 2013 Institute of Botany, Chinese Academy of Sciences.

Entities:  

Keywords:  Association mapping; Upland cotton; elite allele; fiber quality; population structure

Mesh:

Substances:

Year:  2014        PMID: 24428209     DOI: 10.1111/jipb.12124

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  35 in total

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2.  Detection of favorable alleles for yield and yield components by association mapping in upland cotton.

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Journal:  Mol Genet Genomics       Date:  2015-03-11       Impact factor: 3.291

4.  Association mapping analysis of fiber yield and quality traits in Upland cotton (Gossypium hirsutum L.).

Authors:  Mulugeta Seyoum Ademe; Shoupu He; Zhaoe Pan; Junling Sun; Qinglian Wang; Hongde Qin; Jinhai Liu; Hui Liu; Jun Yang; Dongyong Xu; Jinlong Yang; Zhiying Ma; Jinbiao Zhang; Zhikun Li; Zhongmin Cai; Xuelin Zhang; Xin Zhang; Aifen Huang; Xianda Yi; Guanyin Zhou; Lin Li; Haiyong Zhu; Baoyin Pang; Liru Wang; Yinhua Jia; Xiongming Du
Journal:  Mol Genet Genomics       Date:  2017-07-26       Impact factor: 3.291

5.  Genetic diversity and population structure analysis for morphological traits in upland cotton (Gossypium hirsutum L.).

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6.  A Cotton Annexin Affects Fiber Elongation and Secondary Cell Wall Biosynthesis Associated with Ca2+ Influx, ROS Homeostasis, and Actin Filament Reorganization.

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Journal:  Plant Physiol       Date:  2016-06-02       Impact factor: 8.340

7.  Analysis of genetic diversity and population structure in upland cotton (Gossypium hirsutum L.) germplasm using simple sequence repeats.

Authors:  Mulugeta Seyoum; Xiong Ming Du; Shou Pu He; Yin Hua Jia; Zhaoe Pan; Jun Ling Sun
Journal:  J Genet       Date:  2018-06       Impact factor: 1.166

8.  Genome-wide association mapping for agronomic traits in an 8-way Upland cotton MAGIC population by SLAF-seq.

Authors:  Cong Huang; Chao Shen; Tianwang Wen; Bin Gao; Dingguo Li; Zhongxu Lin
Journal:  Theor Appl Genet       Date:  2021-04-28       Impact factor: 5.699

9.  Identification of associated SSR markers for yield component and fiber quality traits based on frame map and Upland cotton collections.

Authors:  Hongde Qin; Min Chen; Xianda Yi; Shu Bie; Cheng Zhang; Youchang Zhang; Jiayang Lan; Yanyan Meng; Youlu Yuan; Chunhai Jiao
Journal:  PLoS One       Date:  2015-01-30       Impact factor: 3.240

10.  Genome-wide SSR-based association mapping for fiber quality in nation-wide upland cotton inbreed cultivars in China.

Authors:  Xinhui Nie; Cong Huang; Chunyuan You; Wu Li; Wenxia Zhao; Chao Shen; Beibei Zhang; Hantao Wang; Zhenhua Yan; Baoshen Dai; Maojun Wang; Xianlong Zhang; Zhongxu Lin
Journal:  BMC Genomics       Date:  2016-05-13       Impact factor: 3.969

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