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Achievements and Perspectives of GWAS Case Study in Rice Core Set
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/302552
In order to breakthrough upcoming challenges for the food production, the efficient use of rice germplasm would be a indispensible. These rice germplasm, adapted from diverse eco-systems, are undiscovered treasures for rice breeders/researchers, potentially providing a broad array of useful alleles that enrich gene pools of current cultivated rice varieties. Although growing ex-situ conservation efforts are an important for preserving diverse rice genetic resources, the activity on finding the novel and favorable genetic variants from the vast genebank collection is greatly challenging, requiring extensive screening processes. Therefore, rice core collection is a powerful solution to accelerate utilizations of the exotic germplasm of the entire population. In addition, The application of whole genome re-sequencing technology would establish a potent platform for fast forward genetic study, such as genome wide association study (GWAS). The GWAS has been implemented to efficiently identify candidate genes related to various useful agricultural traits in many crop species including rice. Given the significant associations between genetic variations and phenotypic diversity does not require prior knowledge, GWAS using high genome coverage of SNP markers provides a genomics platform to dissect previously unknown adaptive or other useful genetic variation accumulated in plant germplasm resources over the times. Once pinpointing candidate genes, GWAS allows informed choice of parents for QTL analysis based on the haplotype information, along with suggesting targets for following mutagenesis and transgenics. Here, we are to report our current achievements and perspectives from GWAS and post-GWAS undertaken to dissect and exploit useful alleles underlying many agricultural traits from Rice core set, including PHS (Pre-Harvest Sprouting), salt tolerance and disease resistance and so forth. Also, we will introduce the integrated Omics based GWAS case study using transcriptomes, proteomes, metabolomes and ionomes of our rice core set.
