Cargando…

The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis

BACKGROUND: A number of studies reported major genes/QTLs for rice grain shapes, chalkiness and starch physicochemical properties. For these finely mapped QTLs or cloned genes to make an impact in practical breeding, it is necessary to test their effects in different genetic backgrounds. In this stu...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Xiangqian, Zhou, Lijie, Ponce, Kimberley, Ye, Guoyou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4577492/
https://www.ncbi.nlm.nih.gov/pubmed/26391157
http://dx.doi.org/10.1186/s12284-015-0064-3
_version_ 1782390972088320000
author Zhao, Xiangqian
Zhou, Lijie
Ponce, Kimberley
Ye, Guoyou
author_facet Zhao, Xiangqian
Zhou, Lijie
Ponce, Kimberley
Ye, Guoyou
author_sort Zhao, Xiangqian
collection PubMed
description BACKGROUND: A number of studies reported major genes/QTLs for rice grain shapes, chalkiness and starch physicochemical properties. For these finely mapped QTLs or cloned genes to make an impact in practical breeding, it is necessary to test their effects in different genetic backgrounds. In this study, two hundred nineteen markers for 20 starch synthesis genes, 41 fine mapped grain shape and related traits QTLs/genes, and 54 chalkiness QTLs/genes plus 15 additional markers and a large indica population of 375 advanced lines were used to identify marker-trait associations under 6 environments that can be used directly in breeding for grain quality traits. RESULTS: The significant associations detected by the QK model were used to declare the usefulness of the targeted genes/QTLs. A total of 65 markers were detected associations with grain quality trait at least in one environment. More phenotypic variations could be explained by haplotype than single marker, as exemplified by the starch biosynthesising genes. GBSSI was the major gene for AC and explained up to 55 % of the phenotypic variation, which also affected GC and accounted up to 11.31 % of the phenotypic variation. SSIIa was the major gene for chalkiness and explained up to 17 and 21 % of variation of DEC and PGWC, respectively. In addition, RMw513 and RM18068 were associated with DEC in 6 environments as well. Four markers (RGS1, RM15206, RMw513 and Indel1) tightly linked to GS3, gw5, and qGL7-2 were the most important ones for grain shapes. Allelic combinations between SSIIa and RMw513 revealed more variations in DEC. CONCLUSIONS: The validated markers for genes/QTLs with major effects could be directly used in breeding for grain quality via marker-assisted selection. Creating desirable allelic combinations by gene pyramiding might be an effective approach for the development of high quality breeding lines in rice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-015-0064-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4577492
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-45774922015-09-25 The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis Zhao, Xiangqian Zhou, Lijie Ponce, Kimberley Ye, Guoyou Rice (N Y) Original Article BACKGROUND: A number of studies reported major genes/QTLs for rice grain shapes, chalkiness and starch physicochemical properties. For these finely mapped QTLs or cloned genes to make an impact in practical breeding, it is necessary to test their effects in different genetic backgrounds. In this study, two hundred nineteen markers for 20 starch synthesis genes, 41 fine mapped grain shape and related traits QTLs/genes, and 54 chalkiness QTLs/genes plus 15 additional markers and a large indica population of 375 advanced lines were used to identify marker-trait associations under 6 environments that can be used directly in breeding for grain quality traits. RESULTS: The significant associations detected by the QK model were used to declare the usefulness of the targeted genes/QTLs. A total of 65 markers were detected associations with grain quality trait at least in one environment. More phenotypic variations could be explained by haplotype than single marker, as exemplified by the starch biosynthesising genes. GBSSI was the major gene for AC and explained up to 55 % of the phenotypic variation, which also affected GC and accounted up to 11.31 % of the phenotypic variation. SSIIa was the major gene for chalkiness and explained up to 17 and 21 % of variation of DEC and PGWC, respectively. In addition, RMw513 and RM18068 were associated with DEC in 6 environments as well. Four markers (RGS1, RM15206, RMw513 and Indel1) tightly linked to GS3, gw5, and qGL7-2 were the most important ones for grain shapes. Allelic combinations between SSIIa and RMw513 revealed more variations in DEC. CONCLUSIONS: The validated markers for genes/QTLs with major effects could be directly used in breeding for grain quality via marker-assisted selection. Creating desirable allelic combinations by gene pyramiding might be an effective approach for the development of high quality breeding lines in rice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12284-015-0064-3) contains supplementary material, which is available to authorized users. Springer US 2015-09-21 /pmc/articles/PMC4577492/ /pubmed/26391157 http://dx.doi.org/10.1186/s12284-015-0064-3 Text en © Zhao et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Zhao, Xiangqian
Zhou, Lijie
Ponce, Kimberley
Ye, Guoyou
The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title_full The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title_fullStr The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title_full_unstemmed The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title_short The Usefulness of Known Genes/Qtls for Grain Quality Traits in an Indica Population of Diverse Breeding Lines Tested using Association Analysis
title_sort usefulness of known genes/qtls for grain quality traits in an indica population of diverse breeding lines tested using association analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4577492/
https://www.ncbi.nlm.nih.gov/pubmed/26391157
http://dx.doi.org/10.1186/s12284-015-0064-3
work_keys_str_mv AT zhaoxiangqian theusefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT zhoulijie theusefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT poncekimberley theusefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT yeguoyou theusefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT zhaoxiangqian usefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT zhoulijie usefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT poncekimberley usefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis
AT yeguoyou usefulnessofknowngenesqtlsforgrainqualitytraitsinanindicapopulationofdiversebreedinglinestestedusingassociationanalysis