Literature DB >> 31002209

Population genomics reveals a fine-scale recombination landscape for genetic improvement of cotton.

Chao Shen1, Nian Wang1, Cong Huang1, Maojun Wang1, Xianlong Zhang1, Zhongxu Lin1.   

Abstract

Recombination breaks up ancestral linkage disequilibrium, creates combinations of alleles, affects the efficiency of natural selection, and plays a major role in crop domestication and improvement. However, there is little knowledge regarding the variation in the population-scaled recombination rate in cotton. We constructed recombination maps and characterized the difference in the genomic landscape of the population-scaled recombination rate between Gossypium hirsutum and G. arboreum and sub-genomes based on the 381 sequenced G. hirsutum and 215 G. arboreum accessions. Comparative genomics identified large structural variations and syntenic genes in the recombination regions, suggesting that recombination was related to structural variation and occurred preferentially in the distal chromosomal regions. Correlation analysis indicated that recombination was only slightly affected by geographical distribution and breeding period. A genome-wide association study (GWAS) was performed with 15 agronomic traits using 267 cotton accessions and identified 163 quantitative trait loci (QTL) and an important candidate gene (Ghir_COL2) for early maturity traits. Comparative analysis of recombination and a GWAS revealed that the QTL of fibre quality traits tended to be more common in high-recombination regions than were those of yield and early maturity traits. These results provide insights into the population-scaled recombination landscape, suggesting that recombination contributed to the domestication and improvement of cotton, which provides a useful reference for studying recombination in other species.
© 2019 The Authors The Plant Journal © 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990G. arboreumzzm321990; zzm321990G. hirsutumzzm321990; early maturity traits; genetic improvement; genome-wide association study (GWAS); population recombination rate

Mesh:

Year:  2019        PMID: 31002209     DOI: 10.1111/tpj.14339

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  7 in total

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

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Journal:  Front Plant Sci       Date:  2022-04-29       Impact factor: 6.627

2.  Parallel and Intertwining Threads of Domestication in Allopolyploid Cotton.

Authors:  Daojun Yuan; Corrinne E Grover; Guanjing Hu; Mengqiao Pan; Emma R Miller; Justin L Conover; Spencer P Hunt; Joshua A Udall; Jonathan F Wendel
Journal:  Adv Sci (Weinh)       Date:  2021-03-15       Impact factor: 16.806

3.  QTLs and candidate genes analyses for fruit size under domestication and differentiation in melon (Cucumis melo L.) based on high resolution maps.

Authors:  Qun Lian; Qiushi Fu; Yongyang Xu; Zhicheng Hu; Jing Zheng; Aiai Zhang; Yuhua He; Changsheng Wang; Chuanqiang Xu; Benxue Chen; Jordi Garcia-Mas; Guangwei Zhao; Huaisong Wang
Journal:  BMC Plant Biol       Date:  2021-03-03       Impact factor: 4.215

4.  Genomic prediction of the recombination rate variation in barley - A route to highly recombinogenic genotypes.

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Review 5.  Inheritance, QTLs, and Candidate Genes of Lint Percentage in Upland Cotton.

Authors:  Hao Niu; Qun Ge; Haihong Shang; Youlu Yuan
Journal:  Front Genet       Date:  2022-03-31       Impact factor: 4.772

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

Authors:  Junji Su; Caixiang Wang; Qi Ma; Ai Zhang; Chunhui Shi; Juanjuan Liu; Xianliang Zhang; Delong Yang; Xiongfeng Ma
Journal:  BMC Plant Biol       Date:  2020-09-07       Impact factor: 4.215

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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