Rice (Oryza sativa) is one of the most important cereal crops for human nutrition all over the world. Drought stress is one of the major abiotic stresses, which is a major constraint on rice productivity. To provide extensive information on genetic variations present between rice cultivars with contrasting response to drought stress, we performed whole-genome resequencing data analysis from nine important rice cultivars, including four drought-sensitive (DS) and five drought-tolerant (DT). The sequencing was performed using Illumina platform to generate 90-100 bp paired-end reads and sequncing data for few cultivars was used from previous studies. The summary of sequence data used is given below.

Cultivar	Total reads	High-quality reads	Sequencing depth	Genome coverage
IR64 (DS)	121235526	113048322	27.2 x	86.7 %
Samba Mahsuri (DS)	220403162	196086628	46.8 x	93.5 %
Swarna (DS)	211299956	188077944	44.9 x	93.4 %
Pusa Basmati 1 (DS)	173321104	142401894	34 x	94.7 %
Nagina 22 (DT)	115538936	104496716	25.1 x	85.9 %
Dhagad desi (DT)	223699762	195057834	46.5 x	93.3 %
Dular (DT)	224273890	188682064	45 x	94.3 %
Sahbhagi dhan (DT)	217760444	197779536	47.2 x	93.9 %
Vandana (DT)	224485142	199967886	47.7 x	93.6 %

The sequence data was used to identify genome-wide single nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) between the reference rice genome (MSU v7) and 9 resequenced rice cultivars. In addition, SNPs and InDels between the resequenced cultivars with contrasting drought stress response (DS and DT) were identified. All these data is public and available for download via the links given below. We anticipate that the data will provide a valuable resource for high-throughput genotyping and molecular breeding for drought tolerance and other important traits in rice.

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Jawaharlal Nehru University, New Delhi, India

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