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Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice

INTRODUCTION: Rice (Oryza sativa L.) production is being challenged by global warming. Identifying new loci and favorable alleles associated with heat tolerance is crucial to developing rice heat-tolerant varieties. METHODS: We evaluated the heat tolerance at the seedling stage using 620 diverse ric...

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Autores principales: Li, Pingping, Jiang, Jing, Zhang, Guogen, Miao, Siyu, Lu, Jingbing, Qian, Yukang, Zhao, Xiuqin, Wang, Wensheng, Qiu, Xianjin, Zhang, Fan, Xu, Jianlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868562/
https://www.ncbi.nlm.nih.gov/pubmed/36699845
http://dx.doi.org/10.3389/fpls.2022.1102938
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author Li, Pingping
Jiang, Jing
Zhang, Guogen
Miao, Siyu
Lu, Jingbing
Qian, Yukang
Zhao, Xiuqin
Wang, Wensheng
Qiu, Xianjin
Zhang, Fan
Xu, Jianlong
author_facet Li, Pingping
Jiang, Jing
Zhang, Guogen
Miao, Siyu
Lu, Jingbing
Qian, Yukang
Zhao, Xiuqin
Wang, Wensheng
Qiu, Xianjin
Zhang, Fan
Xu, Jianlong
author_sort Li, Pingping
collection PubMed
description INTRODUCTION: Rice (Oryza sativa L.) production is being challenged by global warming. Identifying new loci and favorable alleles associated with heat tolerance is crucial to developing rice heat-tolerant varieties. METHODS: We evaluated the heat tolerance at the seedling stage using 620 diverse rice accessions. A total of six loci associated with heat tolerance were identified by a genome-wide association study (GWAS) with ~2.8 million single nucleotide polymorphisms (SNPs). RESULTS: Among the six detected loci, qHT7 harbored the strongest association signal and the most associated SNPs. By comparing the transcriptomes of two representative accessions with contrasting heat tolerance, LOC_Os07g48710 (OsVQ30) was selected as a promising candidate gene in qHT7 due to the significant difference in its expression level between the two accessions. Haplotype 4 (Hap4) of LOC_Os07g48710 was determined as the favorable haplotype for heat tolerance via the gene-based haplotype analysis. The heat-tolerant haplotype LOC_Os07g48710Hap4 is highly enriched in the tropical Geng/Japonica accessions, and its frequency has decreased significantly during the improvement process of rice varieties. DISCUSSION: Based on the GWAS and transcriptomics integrated results, a hypothetical model modulated by qHT7 in response to heat stress was proposed. Our results provide valuable candidate genes for improving rice heat tolerance through molecular breeding.
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spelling pubmed-98685622023-01-24 Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice Li, Pingping Jiang, Jing Zhang, Guogen Miao, Siyu Lu, Jingbing Qian, Yukang Zhao, Xiuqin Wang, Wensheng Qiu, Xianjin Zhang, Fan Xu, Jianlong Front Plant Sci Plant Science INTRODUCTION: Rice (Oryza sativa L.) production is being challenged by global warming. Identifying new loci and favorable alleles associated with heat tolerance is crucial to developing rice heat-tolerant varieties. METHODS: We evaluated the heat tolerance at the seedling stage using 620 diverse rice accessions. A total of six loci associated with heat tolerance were identified by a genome-wide association study (GWAS) with ~2.8 million single nucleotide polymorphisms (SNPs). RESULTS: Among the six detected loci, qHT7 harbored the strongest association signal and the most associated SNPs. By comparing the transcriptomes of two representative accessions with contrasting heat tolerance, LOC_Os07g48710 (OsVQ30) was selected as a promising candidate gene in qHT7 due to the significant difference in its expression level between the two accessions. Haplotype 4 (Hap4) of LOC_Os07g48710 was determined as the favorable haplotype for heat tolerance via the gene-based haplotype analysis. The heat-tolerant haplotype LOC_Os07g48710Hap4 is highly enriched in the tropical Geng/Japonica accessions, and its frequency has decreased significantly during the improvement process of rice varieties. DISCUSSION: Based on the GWAS and transcriptomics integrated results, a hypothetical model modulated by qHT7 in response to heat stress was proposed. Our results provide valuable candidate genes for improving rice heat tolerance through molecular breeding. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9868562/ /pubmed/36699845 http://dx.doi.org/10.3389/fpls.2022.1102938 Text en Copyright © 2023 Li, Jiang, Zhang, Miao, Lu, Qian, Zhao, Wang, Qiu, Zhang and Xu 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
Li, Pingping
Jiang, Jing
Zhang, Guogen
Miao, Siyu
Lu, Jingbing
Qian, Yukang
Zhao, Xiuqin
Wang, Wensheng
Qiu, Xianjin
Zhang, Fan
Xu, Jianlong
Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title_full Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title_fullStr Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title_full_unstemmed Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title_short Integrating GWAS and transcriptomics to identify candidate genes conferring heat tolerance in rice
title_sort integrating gwas and transcriptomics to identify candidate genes conferring heat tolerance in rice
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868562/
https://www.ncbi.nlm.nih.gov/pubmed/36699845
http://dx.doi.org/10.3389/fpls.2022.1102938
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