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Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice

Grain chalkiness is the main factor determining the market value of rice. Reducing chalkiness is an important breeding goal for genetic improvement of high quality rice. Identification of QTLs or genes controlling chalkiness is the prerequisite for molecular breeding in rice. Here, we conducted a ge...

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Autores principales: Huo, Xing, Wang, Jian, Chen, Luo, Fu, Hua, Yang, Tifeng, Dong, Jingfang, Ma, Yamei, Zhou, Lian, Chen, Jiansong, Liu, Dilin, Liu, Bin, Zhao, Junliang, Zhang, Shaohong, Yang, Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140506/
https://www.ncbi.nlm.nih.gov/pubmed/37123865
http://dx.doi.org/10.3389/fpls.2023.1184276
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author Huo, Xing
Wang, Jian
Chen, Luo
Fu, Hua
Yang, Tifeng
Dong, Jingfang
Ma, Yamei
Zhou, Lian
Chen, Jiansong
Liu, Dilin
Liu, Bin
Zhao, Junliang
Zhang, Shaohong
Yang, Wu
author_facet Huo, Xing
Wang, Jian
Chen, Luo
Fu, Hua
Yang, Tifeng
Dong, Jingfang
Ma, Yamei
Zhou, Lian
Chen, Jiansong
Liu, Dilin
Liu, Bin
Zhao, Junliang
Zhang, Shaohong
Yang, Wu
author_sort Huo, Xing
collection PubMed
description Grain chalkiness is the main factor determining the market value of rice. Reducing chalkiness is an important breeding goal for genetic improvement of high quality rice. Identification of QTLs or genes controlling chalkiness is the prerequisite for molecular breeding in rice. Here, we conducted a genome-wide association study to identify QTLs associated with grain chalkiness including percentage of grains with chalkiness (PGWC) and degree of endosperm chalkiness (DEC) in 450 rice accessions consisting of 300 indica and 150 japonica rice in two environments. A total of 34 QTLs were identified, including 14 QTLs for PGWC and 20 QTLs for DEC. Among them, seven QTLs were commonly identified in two environments, and eight QTLs were simultaneously related to two traits. Based on the haplotype analysis, LD decay analysis, RNA-sequencing, qRT-PCR confirmation and haplotype comparisons, four genes (LOC_Os10g36170, LOC_Os10g36260, LOC_Os10g36340 and LOC_Os10g36610) were considered as the candidate genes for qDEC-10c(1w,2wj) , which could be identified in both environments and had the most significant p-value among the newly identified QTLs. These results provided new insight into the genetic basis of grain chalkiness and gene resources for improving quality by molecular breeding in rice.
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spelling pubmed-101405062023-04-29 Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice Huo, Xing Wang, Jian Chen, Luo Fu, Hua Yang, Tifeng Dong, Jingfang Ma, Yamei Zhou, Lian Chen, Jiansong Liu, Dilin Liu, Bin Zhao, Junliang Zhang, Shaohong Yang, Wu Front Plant Sci Plant Science Grain chalkiness is the main factor determining the market value of rice. Reducing chalkiness is an important breeding goal for genetic improvement of high quality rice. Identification of QTLs or genes controlling chalkiness is the prerequisite for molecular breeding in rice. Here, we conducted a genome-wide association study to identify QTLs associated with grain chalkiness including percentage of grains with chalkiness (PGWC) and degree of endosperm chalkiness (DEC) in 450 rice accessions consisting of 300 indica and 150 japonica rice in two environments. A total of 34 QTLs were identified, including 14 QTLs for PGWC and 20 QTLs for DEC. Among them, seven QTLs were commonly identified in two environments, and eight QTLs were simultaneously related to two traits. Based on the haplotype analysis, LD decay analysis, RNA-sequencing, qRT-PCR confirmation and haplotype comparisons, four genes (LOC_Os10g36170, LOC_Os10g36260, LOC_Os10g36340 and LOC_Os10g36610) were considered as the candidate genes for qDEC-10c(1w,2wj) , which could be identified in both environments and had the most significant p-value among the newly identified QTLs. These results provided new insight into the genetic basis of grain chalkiness and gene resources for improving quality by molecular breeding in rice. Frontiers Media S.A. 2023-04-14 /pmc/articles/PMC10140506/ /pubmed/37123865 http://dx.doi.org/10.3389/fpls.2023.1184276 Text en Copyright © 2023 Huo, Wang, Chen, Fu, Yang, Dong, Ma, Zhou, Chen, Liu, Liu, Zhao, Zhang and Yang 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
Huo, Xing
Wang, Jian
Chen, Luo
Fu, Hua
Yang, Tifeng
Dong, Jingfang
Ma, Yamei
Zhou, Lian
Chen, Jiansong
Liu, Dilin
Liu, Bin
Zhao, Junliang
Zhang, Shaohong
Yang, Wu
Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title_full Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title_fullStr Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title_full_unstemmed Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title_short Genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
title_sort genome-wide association mapping and gene expression analysis reveal candidate genes for grain chalkiness in rice
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140506/
https://www.ncbi.nlm.nih.gov/pubmed/37123865
http://dx.doi.org/10.3389/fpls.2023.1184276
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