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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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9100888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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