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QTL mapping and analysis for drought tolerance in rice by genome-wide association study

Rice drought resistance is a complicated quantitative feature involving a range of biological and agronomic variables, but little is known about the underlying genetics and regulatory mechanisms that regulate drought tolerance. This study used 120 recombinant inbred lines (RILs), derived from a cros...

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Autores principales: Yi, Yueming, Hassan, Muhammad A., Cheng, Xinxin, Li, Yiru, Liu, Huan, Fang, Wuyun, Zhu, Qian, Wang, Shimei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408195/
https://www.ncbi.nlm.nih.gov/pubmed/37560028
http://dx.doi.org/10.3389/fpls.2023.1223782
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author Yi, Yueming
Hassan, Muhammad A.
Cheng, Xinxin
Li, Yiru
Liu, Huan
Fang, Wuyun
Zhu, Qian
Wang, Shimei
author_facet Yi, Yueming
Hassan, Muhammad A.
Cheng, Xinxin
Li, Yiru
Liu, Huan
Fang, Wuyun
Zhu, Qian
Wang, Shimei
author_sort Yi, Yueming
collection PubMed
description Rice drought resistance is a complicated quantitative feature involving a range of biological and agronomic variables, but little is known about the underlying genetics and regulatory mechanisms that regulate drought tolerance. This study used 120 recombinant inbred lines (RILs), derived from a cross between drought tolerant Lvhan 1 and susceptible Aixian 1. The RILs were subjected to drought stress at the first ear stage, and phenotypic data of 16 agronomic and physiological traits under varying conditions were investigated. Genome-wide association study (GWAS) on the drought resistance index of traits was carried out. A total of 9 quantitative trait loci (QTLs) associated with drought-related traits were identified on chromosomes 2, 6, 7, 8, 9, and 10, which includes QTLs for plant height (PH) qPH10.1, effective panicles number (EPN) qEPN6.1, panicle length (PL) qPL9.1, thousand-grain weight (TGW) qTGW2.1, qTGW6.1, qTGW8.1, leaf length (LL) qLL7.1, leaf width (LW) qLW7.1, and leaf area (LA) qLA7.1. The fraction of phenotypic variation explained by individual QTL varied from 10.6% to 13.9%. Except for days to flowering (DTF), the mean values of all traits under normal water management conditions were considerably higher than those under drought conditions. Except for the DTF, the drought resistance index of all rice traits was less than 1, indicating that drought treatment reduced the EPN, FGPP, SSR, PH, and LA, which affected the growth and development of rice. The drought resistance index of DTF was 1.02, indicating that drought prolonged the heading time of rice and diminish the yield parameters. Along with identifying QTLs, the results also predicted ten candidate genes, which are directly or indirectly involved in various metabolic functioning related to drought stress. The identification of these genomic sites or QTLs that effectively respond to water scarcity will aid in the quest of understanding the drought tolerance mechanisms. This study will facilitate the marker-assisted rice breeding and handy in the breeding of drought-tolerant rice varieties.
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spelling pubmed-104081952023-08-09 QTL mapping and analysis for drought tolerance in rice by genome-wide association study Yi, Yueming Hassan, Muhammad A. Cheng, Xinxin Li, Yiru Liu, Huan Fang, Wuyun Zhu, Qian Wang, Shimei Front Plant Sci Plant Science Rice drought resistance is a complicated quantitative feature involving a range of biological and agronomic variables, but little is known about the underlying genetics and regulatory mechanisms that regulate drought tolerance. This study used 120 recombinant inbred lines (RILs), derived from a cross between drought tolerant Lvhan 1 and susceptible Aixian 1. The RILs were subjected to drought stress at the first ear stage, and phenotypic data of 16 agronomic and physiological traits under varying conditions were investigated. Genome-wide association study (GWAS) on the drought resistance index of traits was carried out. A total of 9 quantitative trait loci (QTLs) associated with drought-related traits were identified on chromosomes 2, 6, 7, 8, 9, and 10, which includes QTLs for plant height (PH) qPH10.1, effective panicles number (EPN) qEPN6.1, panicle length (PL) qPL9.1, thousand-grain weight (TGW) qTGW2.1, qTGW6.1, qTGW8.1, leaf length (LL) qLL7.1, leaf width (LW) qLW7.1, and leaf area (LA) qLA7.1. The fraction of phenotypic variation explained by individual QTL varied from 10.6% to 13.9%. Except for days to flowering (DTF), the mean values of all traits under normal water management conditions were considerably higher than those under drought conditions. Except for the DTF, the drought resistance index of all rice traits was less than 1, indicating that drought treatment reduced the EPN, FGPP, SSR, PH, and LA, which affected the growth and development of rice. The drought resistance index of DTF was 1.02, indicating that drought prolonged the heading time of rice and diminish the yield parameters. Along with identifying QTLs, the results also predicted ten candidate genes, which are directly or indirectly involved in various metabolic functioning related to drought stress. The identification of these genomic sites or QTLs that effectively respond to water scarcity will aid in the quest of understanding the drought tolerance mechanisms. This study will facilitate the marker-assisted rice breeding and handy in the breeding of drought-tolerant rice varieties. Frontiers Media S.A. 2023-07-25 /pmc/articles/PMC10408195/ /pubmed/37560028 http://dx.doi.org/10.3389/fpls.2023.1223782 Text en Copyright © 2023 Yi, Hassan, Cheng, Li, Liu, Fang, Zhu and Wang 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
Yi, Yueming
Hassan, Muhammad A.
Cheng, Xinxin
Li, Yiru
Liu, Huan
Fang, Wuyun
Zhu, Qian
Wang, Shimei
QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title_full QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title_fullStr QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title_full_unstemmed QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title_short QTL mapping and analysis for drought tolerance in rice by genome-wide association study
title_sort qtl mapping and analysis for drought tolerance in rice by genome-wide association study
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408195/
https://www.ncbi.nlm.nih.gov/pubmed/37560028
http://dx.doi.org/10.3389/fpls.2023.1223782
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