3A-O1-0900 PDF
メタボロミクスの精密表現型解析への応用
Metabolomics is applicable without genome sequence information. Therefore, Metabolomics would be powerful analytical tool for commercially available plant and microorganisms. According to the above context, Metabolomics means exhaustive relationship analysis between 'data matrix of metabolic profile' and 'data matrix of performance of samples' Among those operation of Metabolomics, metabolic fingerprinting, in which metabolic profile is used as fingerprint for samples' performance prediction and classification, is one of the most important application of Metabolomics. On this occasion, practical operation of Metabolomics for high resolution phenotype analysis would be presented. To reveal a power of Metabolomics, a possibility of Metabolomics based prediction of "Life span", which is highly integrated and complicated quantitative phenotype, was studied to find strong relationship between metabolome and lifespan by means of PCA. Orthogonal projection on latent structure (OPLS) based model can predict yeast life span using metabolome as fingerprint. Using information of principal component vector in PCA life span related metabolites were nominated and life span related genes were speculated. The result imply Metabolomics would be applicable for high resolution analysis of a complicated quantitative phenotype, and metabolome information might be useful for strategic enhancement of useful quantitative phenotype for biomass production.