ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/017/SRR29409517/SRR29409517_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/019/SRR29409519/SRR29409519_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/009/SRR29409509/SRR29409509_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/015/SRR29409515/SRR29409515_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/013/SRR29409513/SRR29409513_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/009/SRR29409509/SRR29409509_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/016/SRR29409516/SRR29409516_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/010/SRR29409510/SRR29409510_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/011/SRR29409511/SRR29409511_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/020/SRR29409520/SRR29409520_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/019/SRR29409519/SRR29409519_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/013/SRR29409513/SRR29409513_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/014/SRR29409514/SRR29409514_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/016/SRR29409516/SRR29409516_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/018/SRR29409518/SRR29409518_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/012/SRR29409512/SRR29409512_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/010/SRR29409510/SRR29409510_2.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/020/SRR29409520/SRR29409520_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/012/SRR29409512/SRR29409512_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/017/SRR29409517/SRR29409517_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/018/SRR29409518/SRR29409518_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/015/SRR29409515/SRR29409515_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/014/SRR29409514/SRR29409514_1.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR294/011/SRR29409511/SRR29409511_1.fastq.gzprimaryOK200GenomicsNortheast Agricultural Universityhttps://www.ebi.ac.uk/ena/browser/view/PRJNA1123870Rice blast disease, caused by the fungal pathogen Magnaporthe oryzae, is the most devastating disease of rice and severely affects the yield and quality. Breeding and cultivation of resistant varieties is the most economical and effective measure to prevention and cure blast. Identification and mining of blast resistance genes are the basis and prerequisite for breeding rice for disease resistance . In this paper, we performed GWAS on rice blast using the 295 Japonica rice varieties and Heilongjiang dominant physiological race ZD5. A total of 11 QTLs containing 233 genes were mapped. Among them, 40 genes showed significant phenotypic differences between different haplotypes. Through the integration of the genome-wide association study and the RNA-sequencing, 5 candidate genes were identified for seedling rice blast resistance. The relative expression levels of 5 genes in 10 highly susceptible and 10 resistant varieties were examined, among which OsLB2.2 (LOC_Os02g57470) showed significant differences in relative expression before and after inoculation in the highly resistant varieties. In order to verify gene function, this study used CRISPR-Cas9 technology to construct knockout mutants, and the oslb2.2 knockout mutants showed significantly higher resistance to rice blast disease than the wild type. In addition, the superior haplotype of OsLB2.2 was obtained using haplotype analysis.The reasults of this study could be valuable for future selective rice breeding and the development of efficient haplotype-based breeding strategies for improving disease resistance.ENAfalseGenome-wide association studies of rice seedling blast resistance and functional verification of candidate genes2024-06-172024-06-17PRJNA1123870