Identification of Candidate Genes for Cold Tolerance at Seedling Stage by GWAS in Rice (Oryza sativa L.)

Due to global climate change, cold temperatures have significantly impacted rice production, resulting in reduced yield and quality. In this study, we investigated two traits related to the cold tolerance (CT) of 1992 diverse rice accessions at the seedling stage. <i>Geng</i> accessions exhibited higher levels of CT compared to <i>xian</i> accessions, with the GJ-tmp subgroup displaying the strongest CT. However, extreme CT accessions were also identified within the <i>xian</i> subspecies. Through GWAS analysis based on the survival rate (SR) and leaf score of cold tolerance (SCT), a total of 29 QTLs associated with CT at the seedling stage were identified, among which four QTLs (<i>qSR3.1a</i>, <i>qSR4.1a</i>, <i>qSR11.1x</i>, and <i>qSR12.1a</i>) were found to be important. Furthermore, five candidate genes (<i>LOC_Os03g44760</i>, <i>LOC_Os04g06900</i>, <i>LOC_Os04g07260</i>, <i>LOC_Os11g40610</i>, and <i>LOC_Os12g10710</i>) along with their favorable haplotypes were identified through gene function annotation and haplotype analysis. Pyramiding multiple favorable haplotypes resulted in a significant improvement in CT performance. Subsequently, three selected accessions (CX534, B236, and IRIS_313-8565), carrying different superior alleles for CT, were selected and recommended for molecular breeding for CT using marker-assisted selection (MAS). The findings from this study provide valuable resources for enhancing rice's ability for CT while laying a foundation for the future cloning of novel genes involved in conferring CT.

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Publication Details

Journal
Biology
Published
2024-09-30
DOI
https://doi.org/10.3390/biology13100784
Citations
5
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
2.75

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article

Identification of Candidate Genes for Cold Tolerance at Seedling Stage by GWAS in Rice (Oryza sativa L.)

Huimin Cao, Huimin Shi, Qingxin Song, Jianlong Xu et al.
5 citations
Biology
Genetic Mapping and Diversity in Plants and Animals
2.75
article

Identification of Candidate Genes for Cold Tolerance at Seedling Stage by GWAS in Rice (Oryza sativa L.)

Huimin Cao, Huimin Shi, Qingxin Song, Jianlong Xu, Laiyuan Zhai, Wenyu Zhang
article en
5 citations

Abstract

Due to global climate change, cold temperatures have significantly impacted rice production, resulting in reduced yield and quality. In this study, we investigated two traits related to the cold tolerance (CT) of 1992 diverse rice accessions at the seedling stage. <i>Geng</i> accessions exhibited higher levels of CT compared to <i>xian</i> accessions, with the GJ-tmp subgroup displaying the strongest CT. However, extreme CT accessions were also identified within the <i>xian</i> subspecies. Through GWAS analysis based on the survival rate (SR) and leaf score of cold tolerance (SCT), a total of 29 QTLs associated with CT at the seedling stage were identified, among which four QTLs (<i>qSR3.1a</i>, <i>qSR4.1a</i>, <i>qSR11.1x</i>, and <i>qSR12.1a</i>) were found to be important. Furthermore, five candidate genes (<i>LOC_Os03g44760</i>, <i>LOC_Os04g06900</i>, <i>LOC_Os04g07260</i>, <i>LOC_Os11g40610</i>, and <i>LOC_Os12g10710</i>) along with their favorable haplotypes were identified through gene function annotation and haplotype analysis. Pyramiding multiple favorable haplotypes resulted in a significant improvement in CT performance. Subsequently, three selected accessions (CX534, B236, and IRIS_313-8565), carrying different superior alleles for CT, were selected and recommended for molecular breeding for CT using marker-assisted selection (MAS). The findings from this study provide valuable resources for enhancing rice's ability for CT while laying a foundation for the future cloning of novel genes involved in conferring CT.

BiologyVol. 13(10)
Nanjing Agricultural University (CN), Agricultural Genomics Institute at Shenzhen (CN), Chinese Academy of Agricultural Sciences (CN), Sanya University (CN), Institute of Crop Sciences (CN)
Chinese Academy of Agricultural Sciences
Climate action
Openalex Percentile: Top 9%
Genetic Mapping and Diversity in Plants and Animals
2.75
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