Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
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Published:2023-06-20
Issue:12
Volume:24
Page:10404
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ISSN:1422-0067
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Container-title:International Journal of Molecular Sciences
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language:en
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Short-container-title:IJMS
Author:
Wang Yuanyuan1, Guo Xinlei1, Cai Xiaoyan23, Xu Yanchao2, Sun Runrun1, Umer Muhammad Jawad2ORCID, Wang Kunbo2, Qin Tengfei4, Hou Yuqing2, Wang Yuhong2, Zhang Pan1, Wang Zihan1, Liu Fang235ORCID, Wang Qinglian1, Zhou Zhongli2
Affiliation:
1. Collaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China 2. State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China 3. Hainan Yazhou Bay Seed Laboratory, National Nanfan Research Institute of Chinese Academy of Agriculture Sciences, Sanya 572025, China 4. Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China 5. School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
Abstract
Lint percentage is one of the most essential yield components and an important economic index for cotton planting. Improving lint percentage is an effective way to achieve high-yield in cotton breeding worldwide, especially upland cotton (Gossypium hirsutum L.). However, the genetic basis controlling lint percentage has not yet been systematically understood. Here, we performed a genome-wide association mapping for lint percentage using a natural population consisting of 189 G. hirsutum accessions (188 accessions of G. hirsutum races and one cultivar TM-1). The results showed that 274 single-nucleotide polymorphisms (SNPs) significantly associated with lint percentage were detected, and they were distributed on 24 chromosomes. Forty-five SNPs were detected at least by two models or at least in two environments, and their 5 Mb up- and downstream regions included 584 makers related to lint percentage identified in previous studies. In total, 11 out of 45 SNPs were detected at least in two environments, and their 550 Kb up- and downstream region contained 335 genes. Through RNA sequencing, gene annotation, qRT-PCR, protein–protein interaction analysis, the cis-elements of the promotor region, and related miRNA prediction, Gh_D12G0934 and Gh_A08G0526 were selected as key candidate genes for fiber initiation and elongation, respectively. These excavated SNPs and candidate genes could supplement marker and gene information for deciphering the genetic basis of lint percentage and facilitate high-yield breeding programs of G. hirsutum ultimately.
Funder
The National Natural Science Foundation of China The Science and Technology Development Project of Henan Province The Key Scientific Research Projects of Higher Education of Henan Province The Project of Sanya Yazhou Bay Science and Technology City The State Key Laboratory of Cotton Biology Open Fund
Subject
Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis
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