review paper for rice sheath blight 2016 2019

Moreover, GWAS has been used to identify natural variations for ShB resistance in maize. Genome-wide association studies (GWASs) could overcome the limitations (i.e., high cost, poor mapping resolution, and only two alleles that can be studied) of linkage mapping and enables researchers to use the postgenomic data to exploit natural genetic diversity and identify elite genes in the genome. Most QTL mapping in rice ShB was performed by using conventional linkage mapping methods in the segregating populations derived from the crossing between typical ShB-tolerant and ShB-sensitive rice varieties that was performed in previous studies. In addition, ShB in rice is thought to be a typical quantitative trait controlled by a number of genes, and more than 50 quantitative trait loci (QTLs) for rice ShB resistance, distributed over all 12 rice chromosomes, have been identified. The results of the present study may establish a foundation for further research investigating these elite genes and utilizing the resistant varieties in Ting’s core collection to improve rice ShB resistance. Both in 20, we observed that genes were uniquely enriched in the regulation of transcription and RNA processing in the category of “biological process”, plasma membrane, nucleus, integral component of membrane and cell wall in the category of “cellular component”, and ATP binding in the category of “molecular function”. Furthermore, we performed GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses for the genes located at a region within 10 kb of the significant SNPs. Moreover, 23 of 34 and two of four gene-based SNPs not reported in previous studies in 20, respectively, were identified as significantly associated with rice ShB resistance. A total of 34 and four significant ( p ≤ 1.93 × 10 −8) SNPs were observed in 20, respectively. “Early pradifice”, one typical japonica, was determined to be the most resistant variety in both 20. A rice ShB genome-wide association study (GWAS) was performed using approximately five million SNPs within Ting’s core collection. Uncovering genetic mechanism of ShB resistance and strong resistant varieties in rice are the premise for ShB resistance improvement. Sheath blight disease (ShB) is considered to be the second most important disease affecting rice, and the genetic mechanism of ShB resistance in rice is great complicated.

Review paper for rice sheath blight 2016 2019