Data from: Genome-wide association study for traits related to cold tolerance and recovery during seedling stage in rice
Data files
Feb 19, 2025 version files 11.92 MB
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README.md
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Supplemental_Table_3.txt
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Abstract
Rice (Oryza sativa L.), due to its tropical and sub-tropical origin, is adversely affected by low temperatures below 15°C, restricting growth and yield. During the seedling and vegetative stage, cold stress causes curled leaves, fewer tillers, retarded growth, chlorosis, and necrosis. Due to the significance of this trait, exploring the wealth of genetic resources from a wider pool of germplasm to identify new sources of tolerance will be a crucial step. Toward this goal, we performed a genome-wide association study on a novel diversity panel of 238 rice accessions using the C7AIR SNP array. The experiment was conducted in controlled growth conditions, and rice accessions were evaluated for seven traits and four indices, which were recorded at three different time points, i.e., prior to cold treatment, after cold treatment and post-recovery phase. A total of 77 significant GWAS-QTLs were identified for 21 cold tolerance and related traits of interest. Out of these, 34 were detected after cold stress, and 43 were detected during the post-recovery phase. A total of 42 QTL regions were significant at FDR<0.001 and -log10(P-values) > 5. In addition, 31 novel GWAS-QTLs, three colocalized GWAS-QTL hotspots, and eight colocalized GWAS-QTLs for two traits sharing the same genomic location were also identified. The results of this study may help in further elucidating the molecular mechanisms underlying cold tolerance as well as aid in developing climate-smart rice varieties for chilling stress conditions.
https://doi.org/10.5061/dryad.k6djh9wg4
SNP matrix file of genotypic data for GWAS for rice cold tolerance (SNP markers are rows, rice accessions are columns). Gentoype data obtained from the Cornell_7K_Array_Infinium_Rice Array (C7AIR; Morales et al., 2020) comprising 7,098 SNPs was used.
Description of the data and file structure
To access the genotypic data for the 238 rice accessions, the Cornell_7K_Array_Infinium_Rice Array (C7AIR; Morales et al., 2020) comprising 7,098 SNPs was used. After filtering for the minor allele frequency (MAF) criterion of 5% and SNP call rate of ≥90%, only a total of 4,902 SNPs were used for GWAS analysis (Supplemental Table S3).
Sharing/Access information
Data was derived from the following sources:
Contact Endang Septiningsih (eseptiningsih@tamu.edu) with any questions.
This manuscript has been published:
Rastogi, K., Mankar, S. P., & Septiningsih, E. M. (2025). Genome‐wide association study for traits related to cold tolerance and recovery during seedling stage in rice. Crop Science, 65(1), e70003. https://doi.org/10.1002/csc2.70003