Identification of the Cold-Related Genes COLD11 and OsCTS11 via BSA-seq and Fine Mapping at the Rice Seedling Stage

Cold stress has a significantly negative effect on the growth, development, and yield of rice. However, the genetic basis for the differences in the cold tolerance of Xian/indica and Geng/japonica rice seedlings is still largely unknown. In this study, an RIL population was generated by crossing of the cold-tolerant japonica variety Nipponbare and the cold-sensitive indica variety WD16343 for BSA-seq analysis, and a major cold tolerance QTL qCTS11 was identified on chromosome 11. This locus was narrowed to the 584 kb region through fine mapping. Sequence alignment and expression analysis identified the cloned gene COLD11 and a novel cold-related gene OsCTS11. According to the reported functional variation of COLD11, Nipponbare (TCG + 3GCG)×2 presented more GCG repeats in the 1st exon than WD16343 (TCG + 3GCG), partially explaining the difference in cold tolerance between the parents. OsCTS11, encoding a stress enhanced protein based on phylogenetic analysis, was strongly induced by cold stress and located in the chloroplast and the nucleus. oscts11-mutant lines generated via CRISPR/Cas9 system improved the cold tolerance of rice seedlings. Our study not only reveals novel genetic loci associated with cold tolerance, but also provides potentially valuable gene resources for the cultivation of cold-tolerant rice.

Authors

Institutions

Publication Details

Journal
Rice
Published
2024-11-22
DOI
https://doi.org/10.1186/s12284-024-00749-1
Citations
7
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of the Cold-Related Genes COLD11 and OsCTS11 via BSA-seq and Fine Mapping at the Rice Seedling Stage

Shaojie Shi, Junxiao Chen, Mengjing Wang, Ming‐Hui Fu et al.
7 citations
Rice
Genomics and Phylogenetic Studies
1.64
article

Identification of the Cold-Related Genes COLD11 and OsCTS11 via BSA-seq and Fine Mapping at the Rice Seedling Stage

Shaojie Shi, Junxiao Chen, Mengjing Wang, Ming‐Hui Fu, Aiqing You, Peide Li, Sanhe Li, Jinghua Du, Kai Liu, Changyan Li, Huiying Wang, Lei Zhou, Siyue Zhang, Yan Wu, Bian Wu, Huashan Xu, Wenjun Zha
article en
7 citations

Abstract

Cold stress has a significantly negative effect on the growth, development, and yield of rice. However, the genetic basis for the differences in the cold tolerance of Xian/indica and Geng/japonica rice seedlings is still largely unknown. In this study, an RIL population was generated by crossing of the cold-tolerant japonica variety Nipponbare and the cold-sensitive indica variety WD16343 for BSA-seq analysis, and a major cold tolerance QTL qCTS11 was identified on chromosome 11. This locus was narrowed to the 584 kb region through fine mapping. Sequence alignment and expression analysis identified the cloned gene COLD11 and a novel cold-related gene OsCTS11. According to the reported functional variation of COLD11, Nipponbare (TCG + 3GCG)×2 presented more GCG repeats in the 1st exon than WD16343 (TCG + 3GCG), partially explaining the difference in cold tolerance between the parents. OsCTS11, encoding a stress enhanced protein based on phylogenetic analysis, was strongly induced by cold stress and located in the chloroplast and the nucleus. oscts11-mutant lines generated via CRISPR/Cas9 system improved the cold tolerance of rice seedlings. Our study not only reveals novel genetic loci associated with cold tolerance, but also provides potentially valuable gene resources for the cultivation of cold-tolerant rice.

RiceVol. 17(1)
Huazhong Agricultural University (CN), Wuhan University (CN), Shanghai Zhangjiang Laboratory (CN), Hubei Zhongshan Hospital (CN), Hubei Academy of Agricultural Sciences (CN)
China Agricultural University, China Postdoctoral Science Foundation, National Science and Technology Major Project
Zero hunger
Openalex Percentile: Top 16%
Genomics and Phylogenetic Studies
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.