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An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton
BACKGROUND: Cotton (Gossypium spp.) fiber yield is one of the key target traits, and improved fiber yield has always been thought of as an important objective in the breeding programs and production. Although some studies had been reported for the understanding of genetic bases for cotton yield-rela...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487830/ https://www.ncbi.nlm.nih.gov/pubmed/32894064 http://dx.doi.org/10.1186/s12870-020-02613-y |
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author | Su, Junji Wang, Caixiang Ma, Qi Zhang, Ai Shi, Chunhui Liu, Juanjuan Zhang, Xianliang Yang, Delong Ma, Xiongfeng |
author_facet | Su, Junji Wang, Caixiang Ma, Qi Zhang, Ai Shi, Chunhui Liu, Juanjuan Zhang, Xianliang Yang, Delong Ma, Xiongfeng |
author_sort | Su, Junji |
collection | PubMed |
description | BACKGROUND: Cotton (Gossypium spp.) fiber yield is one of the key target traits, and improved fiber yield has always been thought of as an important objective in the breeding programs and production. Although some studies had been reported for the understanding of genetic bases for cotton yield-related traits, the detected quantitative trait loci (QTL) for the traits is still very limited. To uncover the whole-genome QTL controlling three yield-related traits in upland cotton (Gossypium hirsutum L.), phenotypic traits were investigated under four planting environments and 9244 single-nucleotide polymorphism linkage disequilibrium block (SNPLDB) markers were developed in an association panel consisting of 315 accessions. RESULTS: A total of 53, 70 and 68 significant SNPLDB loci associated with boll number (BN), boll weight (BW) and lint percentage (LP), were respectively detected through a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) procedure in multiple environments. The haplotype/allele effects of the significant SNPLDB loci were estimated and the QTL-allele matrices were organized for offering the abbreviated genetic composition of the population. Among the significant SNPLDB loci, six of them were simultaneously identified in two or more single planting environments and were thought of as the stable SNPLDB loci. Additionally, a total of 115 genes were annotated in the nearby regions of the six stable SNPLDB loci, and 16 common potential candidate genes controlling target traits of them were predicted by two RNA-seq data. One of 16 genes (GH_D06G2161) was mainly expressed in the early ovule-development stages, and the stable SNPLDB locus (LDB_19_62926589) was mapped in its promoter region. CONCLUSION: This study identified the QTL alleles and candidate genes that could provide important insights into the genetic basis of yield-related traits in upland cotton and might facilitate breeding cotton varieties with high yield. |
format | Online Article Text |
id | pubmed-7487830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74878302020-09-16 An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton Su, Junji Wang, Caixiang Ma, Qi Zhang, Ai Shi, Chunhui Liu, Juanjuan Zhang, Xianliang Yang, Delong Ma, Xiongfeng BMC Plant Biol Research Article BACKGROUND: Cotton (Gossypium spp.) fiber yield is one of the key target traits, and improved fiber yield has always been thought of as an important objective in the breeding programs and production. Although some studies had been reported for the understanding of genetic bases for cotton yield-related traits, the detected quantitative trait loci (QTL) for the traits is still very limited. To uncover the whole-genome QTL controlling three yield-related traits in upland cotton (Gossypium hirsutum L.), phenotypic traits were investigated under four planting environments and 9244 single-nucleotide polymorphism linkage disequilibrium block (SNPLDB) markers were developed in an association panel consisting of 315 accessions. RESULTS: A total of 53, 70 and 68 significant SNPLDB loci associated with boll number (BN), boll weight (BW) and lint percentage (LP), were respectively detected through a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) procedure in multiple environments. The haplotype/allele effects of the significant SNPLDB loci were estimated and the QTL-allele matrices were organized for offering the abbreviated genetic composition of the population. Among the significant SNPLDB loci, six of them were simultaneously identified in two or more single planting environments and were thought of as the stable SNPLDB loci. Additionally, a total of 115 genes were annotated in the nearby regions of the six stable SNPLDB loci, and 16 common potential candidate genes controlling target traits of them were predicted by two RNA-seq data. One of 16 genes (GH_D06G2161) was mainly expressed in the early ovule-development stages, and the stable SNPLDB locus (LDB_19_62926589) was mapped in its promoter region. CONCLUSION: This study identified the QTL alleles and candidate genes that could provide important insights into the genetic basis of yield-related traits in upland cotton and might facilitate breeding cotton varieties with high yield. BioMed Central 2020-09-07 /pmc/articles/PMC7487830/ /pubmed/32894064 http://dx.doi.org/10.1186/s12870-020-02613-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Su, Junji Wang, Caixiang Ma, Qi Zhang, Ai Shi, Chunhui Liu, Juanjuan Zhang, Xianliang Yang, Delong Ma, Xiongfeng An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title | An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title_full | An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title_fullStr | An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title_full_unstemmed | An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title_short | An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton |
title_sort | rtm-gwas procedure reveals the qtl alleles and candidate genes for three yield-related traits in upland cotton |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487830/ https://www.ncbi.nlm.nih.gov/pubmed/32894064 http://dx.doi.org/10.1186/s12870-020-02613-y |
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