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

Upland cotton (Gossypium hirsutum) has long been an important fiber crop, but the narrow genetic diversity of modern G. hirsutum limits the potential for simultaneous improvement of yield and fiber quality. It is an effective approach to broaden the genetic base of G. hirsutum through introgression...

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Autores principales: Yang, Peng, Sun, Xiaoting, Liu, Xueying, Wang, Wenwen, Hao, Yongshui, Chen, Lei, Liu, Jun, He, Hailun, Zhang, Taorui, Bao, Wanyu, Tang, Yihua, He, Xinran, Ji, Mengya, Guo, Kai, Liu, Dexin, Teng, Zhonghua, Liu, Dajun, Zhang, Jian, Zhang, Zhengsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100888/
https://www.ncbi.nlm.nih.gov/pubmed/35574150
http://dx.doi.org/10.3389/fpls.2022.882051
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author Yang, Peng
Sun, Xiaoting
Liu, Xueying
Wang, Wenwen
Hao, Yongshui
Chen, Lei
Liu, Jun
He, Hailun
Zhang, Taorui
Bao, Wanyu
Tang, Yihua
He, Xinran
Ji, Mengya
Guo, Kai
Liu, Dexin
Teng, Zhonghua
Liu, Dajun
Zhang, Jian
Zhang, Zhengsheng
author_facet Yang, Peng
Sun, Xiaoting
Liu, Xueying
Wang, Wenwen
Hao, Yongshui
Chen, Lei
Liu, Jun
He, Hailun
Zhang, Taorui
Bao, Wanyu
Tang, Yihua
He, Xinran
Ji, Mengya
Guo, Kai
Liu, Dexin
Teng, Zhonghua
Liu, Dajun
Zhang, Jian
Zhang, Zhengsheng
author_sort Yang, Peng
collection PubMed
description Upland cotton (Gossypium hirsutum) has long been an important fiber crop, but the narrow genetic diversity of modern G. hirsutum limits the potential for simultaneous improvement of yield and fiber quality. It is an effective approach to broaden the genetic base of G. hirsutum through introgression of novel alleles from G. barbadense with excellent fiber quality. In the present study, an interspecific chromosome segment substitution lines (CSSLs) population was established using G. barbadense cultivar Pima S-7 as the donor parent and G. hirsutum cultivar CCRI35 as the recipient parent. A total of 105 quantitative trait loci (QTL), including 85 QTL for fiber quality and 20 QTL for lint percentage (LP), were identified based on phenotypic data collected from four environments. Among these QTL, 25 stable QTL were detected in two or more environments, including four for LP, eleven for fiber length (FL), three for fiber strength (FS), six for fiber micronaire (FM), and one for fiber elongation (FE). Eleven QTL clusters were observed on nine chromosomes, of which seven QTL clusters harbored stable QTL. Moreover, eleven major QTL for fiber quality were verified through analysis of introgressed segments of the eight superior lines with the best comprehensive phenotypes. A total of 586 putative candidate genes were identified for 25 stable QTL associated with lint percentage and fiber quality through transcriptome analysis. Furthermore, three candidate genes for FL, GH_A08G1681 (GhSCPL40), GH_A12G2328 (GhPBL19), and GH_D02G0370 (GhHSP22.7), and one candidate gene for FM, GH_D05G1346 (GhAPG), were identified through RNA-Seq and qRT-PCR analysis. These results lay the foundation for understanding the molecular regulatory mechanism of fiber development and provide valuable information for marker-assisted selection (MAS) in cotton breeding.
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spelling pubmed-91008882022-05-14 Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population Yang, Peng Sun, Xiaoting Liu, Xueying Wang, Wenwen Hao, Yongshui Chen, Lei Liu, Jun He, Hailun Zhang, Taorui Bao, Wanyu Tang, Yihua He, Xinran Ji, Mengya Guo, Kai Liu, Dexin Teng, Zhonghua Liu, Dajun Zhang, Jian Zhang, Zhengsheng Front Plant Sci Plant Science Upland cotton (Gossypium hirsutum) has long been an important fiber crop, but the narrow genetic diversity of modern G. hirsutum limits the potential for simultaneous improvement of yield and fiber quality. It is an effective approach to broaden the genetic base of G. hirsutum through introgression of novel alleles from G. barbadense with excellent fiber quality. In the present study, an interspecific chromosome segment substitution lines (CSSLs) population was established using G. barbadense cultivar Pima S-7 as the donor parent and G. hirsutum cultivar CCRI35 as the recipient parent. A total of 105 quantitative trait loci (QTL), including 85 QTL for fiber quality and 20 QTL for lint percentage (LP), were identified based on phenotypic data collected from four environments. Among these QTL, 25 stable QTL were detected in two or more environments, including four for LP, eleven for fiber length (FL), three for fiber strength (FS), six for fiber micronaire (FM), and one for fiber elongation (FE). Eleven QTL clusters were observed on nine chromosomes, of which seven QTL clusters harbored stable QTL. Moreover, eleven major QTL for fiber quality were verified through analysis of introgressed segments of the eight superior lines with the best comprehensive phenotypes. A total of 586 putative candidate genes were identified for 25 stable QTL associated with lint percentage and fiber quality through transcriptome analysis. Furthermore, three candidate genes for FL, GH_A08G1681 (GhSCPL40), GH_A12G2328 (GhPBL19), and GH_D02G0370 (GhHSP22.7), and one candidate gene for FM, GH_D05G1346 (GhAPG), were identified through RNA-Seq and qRT-PCR analysis. These results lay the foundation for understanding the molecular regulatory mechanism of fiber development and provide valuable information for marker-assisted selection (MAS) in cotton breeding. Frontiers Media S.A. 2022-04-29 /pmc/articles/PMC9100888/ /pubmed/35574150 http://dx.doi.org/10.3389/fpls.2022.882051 Text en Copyright © 2022 Yang, Sun, Liu, Wang, Hao, Chen, Liu, He, Zhang, Bao, Tang, He, Ji, Guo, Liu, Teng, Liu, Zhang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Yang, Peng
Sun, Xiaoting
Liu, Xueying
Wang, Wenwen
Hao, Yongshui
Chen, Lei
Liu, Jun
He, Hailun
Zhang, Taorui
Bao, Wanyu
Tang, Yihua
He, Xinran
Ji, Mengya
Guo, Kai
Liu, Dexin
Teng, Zhonghua
Liu, Dajun
Zhang, Jian
Zhang, Zhengsheng
Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title_full Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title_fullStr Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title_full_unstemmed Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title_short Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population
title_sort identification of candidate genes for lint percentage and fiber quality through qtl mapping and transcriptome analysis in an allotetraploid interspecific cotton cssls population
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100888/
https://www.ncbi.nlm.nih.gov/pubmed/35574150
http://dx.doi.org/10.3389/fpls.2022.882051
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