Literature DB >> 32503111

Genomic Insight into Differentiation and Selection Sweeps in the Improvement of Upland Cotton.

Mian Faisal Nazir1, Yinhua Jia1, Haris Ahmed1, Shoupu He1,2, Muhammad Shahid Iqbal1,3, Zareen Sarfraz1, Mushtaque Ali1, Chenfan Feng4, Irum Raza1, Gaofei Sun1, Zhaoe Pan1, Xiongming Du1,5.   

Abstract

Upland cotton is the most economically important fibre crop. The human-mediated selection has resulted in modern upland cultivars with higher yield and better fibre quality. However, changes in genome structure resulted from human-mediated selection are poorly understood. Comparative population genomics offers us tools to dissect the genetic history of domestication and helps to understand the genome-wide effects of human-mediated selection. Hereby, we report a comprehensive assessment of Gossypium hirsutum landraces, obsolete cultivars and modern cultivars based on high throughput genome-wide sequencing of the core set of genotypes. As a result of the genome-wide scan, we identified 93 differential regions and 311 selection sweeps associated with domestication and improvement. Furthermore, we performed genome-wide association studies to identify traits associated with the differential regions and selection sweeps. Our study provides a genetic basis to understand the domestication process in Chinese cotton cultivars. It also provides a comprehensive insight into changes in genome structure due to selection and improvement during the last century. We also identified multiple genome-wide associations (GWAS associations) for fibre yield, quality and other morphological characteristics.

Entities:  

Keywords:  domestication; phylogeny; selection sweeps; upland cotton

Year:  2020        PMID: 32503111     DOI: 10.3390/plants9060711

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  2 in total

1.  Genome-Wide Identification and Expression Analysis Elucidates the Potential Role of PFK Gene Family in Drought Stress Tolerance and Sugar Metabolism in Cotton.

Authors:  Teame Gereziher Mehari; Yanchao Xu; Muhammad Jawad Umer; Fang Hui; Xiaoyan Cai; Zhongli Zhou; Yuqing Hou; Kai Wang; Baohua Wang; Fang Liu
Journal:  Front Genet       Date:  2022-06-20       Impact factor: 4.772

2.  Transcriptomic Insight into Underground Floral Differentiation in Erythronium japonicum.

Authors:  Hongtao Wang; Lifan Zhang; Peng Shen; Xuelian Liu; Rengui Zhao; Junyi Zhu
Journal:  Biomed Res Int       Date:  2022-01-18       Impact factor: 3.411

  2 in total

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