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Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races

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 controllin...

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Autores principales: Wang, Yuanyuan, Guo, Xinlei, Cai, Xiaoyan, Xu, Yanchao, Sun, Runrun, Umer, Muhammad Jawad, Wang, Kunbo, Qin, Tengfei, Hou, Yuqing, Wang, Yuhong, Zhang, Pan, Wang, Zihan, Liu, Fang, Wang, Qinglian, Zhou, Zhongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299271/
https://www.ncbi.nlm.nih.gov/pubmed/37373552
http://dx.doi.org/10.3390/ijms241210404
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author Wang, Yuanyuan
Guo, Xinlei
Cai, Xiaoyan
Xu, Yanchao
Sun, Runrun
Umer, Muhammad Jawad
Wang, Kunbo
Qin, Tengfei
Hou, Yuqing
Wang, Yuhong
Zhang, Pan
Wang, Zihan
Liu, Fang
Wang, Qinglian
Zhou, Zhongli
author_facet Wang, Yuanyuan
Guo, Xinlei
Cai, Xiaoyan
Xu, Yanchao
Sun, Runrun
Umer, Muhammad Jawad
Wang, Kunbo
Qin, Tengfei
Hou, Yuqing
Wang, Yuhong
Zhang, Pan
Wang, Zihan
Liu, Fang
Wang, Qinglian
Zhou, Zhongli
author_sort Wang, Yuanyuan
collection PubMed
description 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.
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spelling pubmed-102992712023-06-28 Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races Wang, Yuanyuan Guo, Xinlei Cai, Xiaoyan Xu, Yanchao Sun, Runrun Umer, Muhammad Jawad Wang, Kunbo Qin, Tengfei Hou, Yuqing Wang, Yuhong Zhang, Pan Wang, Zihan Liu, Fang Wang, Qinglian Zhou, Zhongli Int J Mol Sci Article 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. MDPI 2023-06-20 /pmc/articles/PMC10299271/ /pubmed/37373552 http://dx.doi.org/10.3390/ijms241210404 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yuanyuan
Guo, Xinlei
Cai, Xiaoyan
Xu, Yanchao
Sun, Runrun
Umer, Muhammad Jawad
Wang, Kunbo
Qin, Tengfei
Hou, Yuqing
Wang, Yuhong
Zhang, Pan
Wang, Zihan
Liu, Fang
Wang, Qinglian
Zhou, Zhongli
Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title_full Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title_fullStr Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title_full_unstemmed Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title_short Genome-Wide Association Study of Lint Percentage in Gossypium hirsutum L. Races
title_sort genome-wide association study of lint percentage in gossypium hirsutum l. races
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299271/
https://www.ncbi.nlm.nih.gov/pubmed/37373552
http://dx.doi.org/10.3390/ijms241210404
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