Integrating RNA-Seq and linkage mapping to identify and characterize qESCT2, a cold tolerance QTL at the early seedling stage in rice

Cold stress significantly limits rice productivity, particularly at the early seedling stage. Identifying key genes responsible for cold tolerance is crucial for breeding resilient rice varieties. In the study, we identified a quantitative trait locus (QTL), q<i>ESCT2</i>, associated with cold tolerance at the early seedling stage. The QTL was mapped into an interval of RM1347-RM5356 on chromosome 2 using an F<sub>2:3</sub> population derived from a cross between XZX45, a cold-sensitive early rice variety from China, and IL43, an introgression line developed by marker-assisted backcrossing. IL43 was created using XN1, a highly cold-resistant cultivar, as the donor parent and XZX45 as the recurrent parent. By integrating transcriptomic data from the target region, we identified <i>Os02g0181300</i> as the candidate gene for <i>qESCT2.</i> This gene encodes a transcription factor, OsWRKY71. Edited lines of <i>OsWRKY71</i> exhibited a significantly lower survival rate under cold tolerance compared to the wild type Nipponbare. Further analysis revealed that <i>OsWRKY71</i> likely regulated cold tolerance at the early seedling stage by a glutathione metabolism related pathway. Additionally, <i>OsWRKY71</i> exhibits differentiation between <i>indica</i> and <i>japonica</i> subspecies with distinct haplotypes. These findings will facilitate to further research into the genetic basis of cold tolerance at the early seedling stage and enhance the development of cold-resistant rice varieties by marker-assisted selection.

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Journal
Frontiers in Plant Science
Published
2025-05-01
DOI
https://doi.org/10.3389/fpls.2025.1580022
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
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article
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article

Integrating RNA-Seq and linkage mapping to identify and characterize qESCT2, a cold tolerance QTL at the early seedling stage in rice

Zuwu Chen, Sanxiong Liu, B. S. Yang, Licheng Liu et al.
Frontiers in Plant Science
Genetic Mapping and Diversity in Plants and Animals
article

Integrating RNA-Seq and linkage mapping to identify and characterize qESCT2, a cold tolerance QTL at the early seedling stage in rice

Zuwu Chen, Sanxiong Liu, B. S. Yang, Licheng Liu, Wenqiang Liu, Dong Zheng, Liang Guo, Xiaowu Pan
article en

Abstract

Cold stress significantly limits rice productivity, particularly at the early seedling stage. Identifying key genes responsible for cold tolerance is crucial for breeding resilient rice varieties. In the study, we identified a quantitative trait locus (QTL), q<i>ESCT2</i>, associated with cold tolerance at the early seedling stage. The QTL was mapped into an interval of RM1347-RM5356 on chromosome 2 using an F<sub>2:3</sub> population derived from a cross between XZX45, a cold-sensitive early rice variety from China, and IL43, an introgression line developed by marker-assisted backcrossing. IL43 was created using XN1, a highly cold-resistant cultivar, as the donor parent and XZX45 as the recurrent parent. By integrating transcriptomic data from the target region, we identified <i>Os02g0181300</i> as the candidate gene for <i>qESCT2.</i> This gene encodes a transcription factor, OsWRKY71. Edited lines of <i>OsWRKY71</i> exhibited a significantly lower survival rate under cold tolerance compared to the wild type Nipponbare. Further analysis revealed that <i>OsWRKY71</i> likely regulated cold tolerance at the early seedling stage by a glutathione metabolism related pathway. Additionally, <i>OsWRKY71</i> exhibits differentiation between <i>indica</i> and <i>japonica</i> subspecies with distinct haplotypes. These findings will facilitate to further research into the genetic basis of cold tolerance at the early seedling stage and enhance the development of cold-resistant rice varieties by marker-assisted selection.

Frontiers in Plant ScienceVol. 16
Hunan Academy of Agricultural Sciences (CN), China National Hybrid Rice R&D Central Hunan Hybrid Rice Reserch Center (CN)
Openalex Percentile: Top 89%
Genetic Mapping and Diversity in Plants and Animals
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