Literature DB >> 30132023

A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton.

Zhengwen Sun1, Xingfen Wang1, Zhengwen Liu1, Qishen Gu1, Yan Zhang1, Zhikun Li1, Huifeng Ke1, Jun Yang1, Jinhua Wu1, Liqiang Wu1, Guiyin Zhang1, Caiying Zhang2, Zhiying Ma3.   

Abstract

KEY MESSAGE: A total of 62 SNPs associated with yield-related traits were identified by a GWAS. Based on significant SNPs, two candidate genes pleiotropically increase lint yield. Improved fibre yield is considered a constant goal of upland cotton (Gossypium hirsutum) breeding worldwide, but the understanding of the genetic basis controlling yield-related traits remains limited. To better decipher the molecular mechanism underlying these traits, we conducted a genome-wide association study to determine candidate loci associated with six yield-related traits in a population of 719 upland cotton germplasm accessions; to accomplish this, we used 10,511 single-nucleotide polymorphisms (SNPs) genotyped by an Illumina CottonSNP63K array. Six traits, including the boll number, boll weight, lint percentage, fruit branch number, seed index and lint index, were assessed in multiple environments; large variation in all phenotypes was detected across accessions. We identified 62 SNP loci that were significantly associated with different traits on chromosomes A07, D03, D05, D09, D10 and D12. A total of 689 candidate genes were screened, and 27 of them contained at least one significant SNP. Furthermore, two genes (Gh_D03G1064 and Gh_D12G2354) that pleiotropically increase lint yield were identified. These identified SNPs and candidate genes provide important insights into the genetic control underlying high yields in G. hirsutum, ultimately facilitating breeding programmes of high-yielding cotton.

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Year:  2018        PMID: 30132023     DOI: 10.1007/s00122-018-3162-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  45 in total

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4.  QTL Mapping for Fiber and Yield Traits in Upland Cotton under Multiple Environments.

Authors:  Hantao Wang; Cong Huang; Huanle Guo; Ximei Li; Wenxia Zhao; Baosheng Dai; Zhenhua Yan; Zhongxu Lin
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Journal:  Plant Biotechnol J       Date:  2016-02-08       Impact factor: 9.803

6.  Genome-wide association study discovered genetic variation and candidate genes of fibre quality traits in Gossypium hirsutum L.

Authors:  Zhengwen Sun; Xingfen Wang; Zhengwen Liu; Qishen Gu; Yan Zhang; Zhikun Li; Huifeng Ke; Jun Yang; Jinhua Wu; Liqiang Wu; Guiyin Zhang; Caiying Zhang; Zhiying Ma
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9.  Identification of favorable SNP alleles and candidate genes for traits related to early maturity via GWAS in upland cotton.

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  10 in total

Review 1.  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

2.  Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton.

Authors:  Chengxiang Song; Wei Li; Xiaoyu Pei; Yangai Liu; Zhongying Ren; Kunlun He; Fei Zhang; Kuan Sun; Xiaojian Zhou; Xiongfeng Ma; Daigang Yang
Journal:  Theor Appl Genet       Date:  2019-04-13       Impact factor: 5.699

3.  Genome-wide association analysis reveals quantitative trait loci and candidate genes involved in yield components under multiple field environments in cotton (Gossypium hirsutum).

Authors:  Guozhong Zhu; Sen Hou; Xiaohui Song; Xing Wang; Wei Wang; Quanjia Chen; Wangzhen Guo
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4.  Genome-wide association analysis reveals loci and candidate genes involved in fiber quality traits in sea island cotton (Gossypium barbadense).

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5.  Genome-wide association study reveals the genetic basis of yield- and quality-related traits in wheat.

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Journal:  Front Plant Sci       Date:  2021-10-25       Impact factor: 5.753

Review 7.  Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.

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8.  An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton.

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