Literature DB >> 29505644

Genetic Analysis of Gossypium Fiber Quality Traits in Reciprocal Advanced Backcross Populations.

Rahul Chandnani, Changsoo Kim, Hui Guo, Tariq Shehzad, Jason G Wallace, Daohua He, Zhengsheng Zhang, Jinesh D Patel, Jeevan Adhikari, Sameer Khanal, Andrew H Paterson.   

Abstract

In mapping populations segregating for many loci, the large amount of variation among genotypes often masks small-effect quantitative trait loci (QTL). This problem can be reduced by development of populations with fewer chromosome segments segregating. Here, we report early QTL detection in reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum L. 'Acala Maxxa' (GH) and G. barbadense L. 'Pima S6' (GB). A total of 297 BCF and BCF progeny rows-127 segregating for GB chromosome segments in GH background and 170 segregating for GH chromosome segments in GB background-were evaluated in three environments. Totals of 3186 and 3026 polymorphic single-nucleotide polymorphisms (SNPs) in GH and GB backgrounds, respectively, were identified and used for trait mapping. Small-effect QTL (<10% variance explained) made up 87 and 100% of QTL in GH and GB backgrounds, respectively. In both species, favorable alleles were found with effects being masked or neutralized by unfavorable alleles, with greater scope for improvement of GH than GB by introgressive breeding. A total of three stable QTL-two in GH background for fiber elongation (ELO) and micronaire (MIC) and one in GB background for upper-half mean length (UHM)-were identified in two out of three environments. Curiously, only four QTL-three for UHM and one for ELO-showed the expected opposite effects in reciprocal backgrounds, perhaps reflecting the combined consequences of epistasis, small phenotypic effects, and low coverage of some genomic regions. Along with new information for marker-assisted breeding, this study adds to knowledge that can be used to unravel complex genetic networks governing fiber quality traits.
Copyright © 2018 Crop Science Society of America.

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Year:  2018        PMID: 29505644     DOI: 10.3835/plantgenome2017.06.0057

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  8 in total

1.  Improved Upland Cotton Germplasm for Multiple Fiber Traits Mediated by Transferring and Pyramiding Novel Alleles From Ethyl Methanesulfonate-Generated Mutant Lines Into Elite Genotypes.

Authors:  Jinesh D Patel; Sameer Khanal; Rahul Chandnani; Jeevan Adhikari; Nino Brown; Peng W Chee; Don C Jones; Andrew H Paterson
Journal:  Front Plant Sci       Date:  2022-04-13       Impact factor: 6.627

2.  Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population.

Authors:  Zhen Zhang; Junwen Li; Muhammad Jamshed; Yuzhen Shi; Aiying Liu; Juwu Gong; Shufang Wang; Jianhong Zhang; Fuding Sun; Fei Jia; Qun Ge; Liqiang Fan; Zhibin Zhang; Jingtao Pan; Senmiao Fan; Yanling Wang; Quanwei Lu; Ruixian Liu; Xiaoying Deng; Xianyan Zou; Xiao Jiang; Ping Liu; Pengtao Li; Muhammad Sajid Iqbal; Chuanyun Zhang; Juan Zou; Hong Chen; Qin Tian; Xinhe Jia; Baoqin Wang; Nijiang Ai; Guoli Feng; Yumei Wang; Mei Hong; Shilin Li; Wenming Lian; Bo Wu; Jinping Hua; Chaojun Zhang; Jinyong Huang; Aixia Xu; Haihong Shang; Wankui Gong; Youlu Yuan
Journal:  Plant Biotechnol J       Date:  2019-07-08       Impact factor: 9.803

3.  Genetic Analysis of the Transition from Wild to Domesticated Cotton (Gossypium hirsutum L.).

Authors:  Corrinne E Grover; Mi-Jeong Yoo; Meng Lin; Matthew D Murphy; David B Harker; Robert L Byers; Alexander E Lipka; Guanjing Hu; Daojun Yuan; Justin L Conover; Joshua A Udall; Andrew H Paterson; Michael A Gore; Jonathan F Wendel
Journal:  G3 (Bethesda)       Date:  2020-02-06       Impact factor: 3.154

4.  Quantitative Trait Loci and Transcriptome Analysis Reveal Genetic Basis of Fiber Quality Traits in CCRI70 RIL Population of Gossypium hirsutum.

Authors:  Xiao Jiang; Juwu Gong; Jianhong Zhang; Zhen Zhang; Yuzhen Shi; Junwen Li; Aiying Liu; Wankui Gong; Qun Ge; Xiaoying Deng; Senmiao Fan; Haodong Chen; Zhengcheng Kuang; Jingtao Pan; Jincan Che; Shuya Zhang; Tingting Jia; Renhui Wei; Quanjia Chen; Shoujun Wei; Haihong Shang; Youlu Yuan
Journal:  Front Plant Sci       Date:  2021-12-16       Impact factor: 5.753

5.  Construction of a high-density genetic map and identification of QTLs related to agronomic and physiological traits in an interspecific (Gossypium hirsutum × Gossypium barbadense) F2 population.

Authors:  Zhanfeng Si; Shangkun Jin; Jiedan Chen; Sen Wang; Lei Fang; Xiefei Zhu; Tianzhen Zhang; Yan Hu
Journal:  BMC Genomics       Date:  2022-04-15       Impact factor: 4.547

6.  Identification of small effect quantitative trait loci of plant architectural, flowering, and early maturity traits in reciprocal interspecific introgression population in cotton.

Authors:  Rahul Chandnani; Changsoo Kim; Jinesh D Patel; Hui Guo; Tariq Shehzad; Jason G Wallace; Daohua He; Zhengsheng Zhang; Jeevan Adhikari; Sameer Khanal; Peng W Chee; Andrew H Paterson
Journal:  Front Plant Sci       Date:  2022-08-18       Impact factor: 6.627

7.  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

8.  Validation of QTLs for Fiber Quality Introgressed from Gossypium mustelinum by Selective Genotyping.

Authors:  Qi Chen; Wei Wang; Caixiang Wang; Mi Zhang; Jiwen Yu; Yifei Zhang; Baotong Yuan; Yunyun Ding; Don C Jones; Andrew H Paterson; Peng W Chee; Baohua Wang
Journal:  G3 (Bethesda)       Date:  2020-07-07       Impact factor: 3.154

  8 in total

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