Cargando…

Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)

Fiber length, fiber strength, and fiber micronaire are the main fiber quality parameters in cotton. Thus, mining the elite and stable loci/alleles related to fiber quality traits and elucidating the relationship between the two may accelerate genetic improvement of fiber quality in cotton. Here, gen...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Xiaohui, Zhu, Guozhong, Hou, Sen, Ren, Yamei, Amjid, Muhammad Waqas, Li, Weixi, Guo, Wangzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374309/
https://www.ncbi.nlm.nih.gov/pubmed/34421946
http://dx.doi.org/10.3389/fpls.2021.695503
_version_ 1783740088441634816
author Song, Xiaohui
Zhu, Guozhong
Hou, Sen
Ren, Yamei
Amjid, Muhammad Waqas
Li, Weixi
Guo, Wangzhen
author_facet Song, Xiaohui
Zhu, Guozhong
Hou, Sen
Ren, Yamei
Amjid, Muhammad Waqas
Li, Weixi
Guo, Wangzhen
author_sort Song, Xiaohui
collection PubMed
description Fiber length, fiber strength, and fiber micronaire are the main fiber quality parameters in cotton. Thus, mining the elite and stable loci/alleles related to fiber quality traits and elucidating the relationship between the two may accelerate genetic improvement of fiber quality in cotton. Here, genome-wide association analysis (GWAS) was performed for fiber quality parameters based on phenotypic data, and 56,010 high-quality single nucleotide polymorphisms (SNPs) using 242 upland cotton accessions under 12 field environments were obtained. Phenotypic analysis exhibited that fiber length (FL) had a positive correlation with fiber strength (FS) and had a negative correlation with fiber micronaire (Mic). Genetic analysis also indicated that FL, FS, and Mic had high heritability of more than 80%. A total of 67 stable quantitative trait loci (QTLs) were identified through GWAS analysis, including 31 for FL, 21 for FS, and 22 for Mic. Of them, three pairs homologous QTLs were detected between A and D subgenomes, and seven co-located QTLs with two fiber quality parameters were found. Compared with the reported QTLs, 34 co-located with previous studies, and 33 were newly revealed. Integrated with transcriptome analysis, we selected 256, 244, and 149 candidate genes for FL, FS, and Mic, respectively. Gene Ontology (GO) analysis showed that most of the genes located in QTLs interval of the three fiber quality traits were involved in sugar biosynthesis, sugar metabolism, microtubule, and cytoskeleton organization, which played crucial roles in fiber development. Through correlation analysis between haplotypes and phenotypes, three genes (GH_A05G1494, GH_D11G3097, and GH_A05G1082) predominately expressed in fiber development stages were indicated to be potentially responsible for FL, FS, and Mic, respectively. The GH_A05G1494 encoded a protein containing SGS-domain, which is related to tubulin-binding and ubiquitin-protein ligase binding. The GH_D11G3097 encoded 20S proteasome beta subunit G1, and was involved in the ubiquitin-dependent protein catabolic process. The GH_A05G1082 encoded RAN binding protein 1 with a molecular function of GTPase activator activity. These results provide new insights and candidate loci/genes for the improvement of fiber quality in cotton.
format Online
Article
Text
id pubmed-8374309
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83743092021-08-20 Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum) Song, Xiaohui Zhu, Guozhong Hou, Sen Ren, Yamei Amjid, Muhammad Waqas Li, Weixi Guo, Wangzhen Front Plant Sci Plant Science Fiber length, fiber strength, and fiber micronaire are the main fiber quality parameters in cotton. Thus, mining the elite and stable loci/alleles related to fiber quality traits and elucidating the relationship between the two may accelerate genetic improvement of fiber quality in cotton. Here, genome-wide association analysis (GWAS) was performed for fiber quality parameters based on phenotypic data, and 56,010 high-quality single nucleotide polymorphisms (SNPs) using 242 upland cotton accessions under 12 field environments were obtained. Phenotypic analysis exhibited that fiber length (FL) had a positive correlation with fiber strength (FS) and had a negative correlation with fiber micronaire (Mic). Genetic analysis also indicated that FL, FS, and Mic had high heritability of more than 80%. A total of 67 stable quantitative trait loci (QTLs) were identified through GWAS analysis, including 31 for FL, 21 for FS, and 22 for Mic. Of them, three pairs homologous QTLs were detected between A and D subgenomes, and seven co-located QTLs with two fiber quality parameters were found. Compared with the reported QTLs, 34 co-located with previous studies, and 33 were newly revealed. Integrated with transcriptome analysis, we selected 256, 244, and 149 candidate genes for FL, FS, and Mic, respectively. Gene Ontology (GO) analysis showed that most of the genes located in QTLs interval of the three fiber quality traits were involved in sugar biosynthesis, sugar metabolism, microtubule, and cytoskeleton organization, which played crucial roles in fiber development. Through correlation analysis between haplotypes and phenotypes, three genes (GH_A05G1494, GH_D11G3097, and GH_A05G1082) predominately expressed in fiber development stages were indicated to be potentially responsible for FL, FS, and Mic, respectively. The GH_A05G1494 encoded a protein containing SGS-domain, which is related to tubulin-binding and ubiquitin-protein ligase binding. The GH_D11G3097 encoded 20S proteasome beta subunit G1, and was involved in the ubiquitin-dependent protein catabolic process. The GH_A05G1082 encoded RAN binding protein 1 with a molecular function of GTPase activator activity. These results provide new insights and candidate loci/genes for the improvement of fiber quality in cotton. Frontiers Media S.A. 2021-08-05 /pmc/articles/PMC8374309/ /pubmed/34421946 http://dx.doi.org/10.3389/fpls.2021.695503 Text en Copyright © 2021 Song, Zhu, Hou, Ren, Amjid, Li and Guo. 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
Song, Xiaohui
Zhu, Guozhong
Hou, Sen
Ren, Yamei
Amjid, Muhammad Waqas
Li, Weixi
Guo, Wangzhen
Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title_full Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title_fullStr Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title_full_unstemmed Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title_short Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)
title_sort genome-wide association analysis reveals loci and candidate genes involved in fiber quality traits under multiple field environments in cotton (gossypium hirsutum)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374309/
https://www.ncbi.nlm.nih.gov/pubmed/34421946
http://dx.doi.org/10.3389/fpls.2021.695503
work_keys_str_mv AT songxiaohui genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT zhuguozhong genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT housen genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT renyamei genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT amjidmuhammadwaqas genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT liweixi genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum
AT guowangzhen genomewideassociationanalysisrevealslociandcandidategenesinvolvedinfiberqualitytraitsundermultiplefieldenvironmentsincottongossypiumhirsutum