Construction Of Metabolic Regulatory Networks In Rice And Comparisons Between Indica And Japonica

Plants are rich in metabolites that play an important role in the growth and development of plants,and which are also closely related to human health.In the important crops such as rice and maize,we can mine metabolism related genes and construct metabolic networks to dissect regulatory mechanism at the metabolic level with metabonomics,which contribute to improving nutrition quality and increasing the yield of crops.In metabonomics,large numbers of metabolites acquired from existing technology are also need to make a systemic study by network when they are used to genetic analysis.Taking 840 metabolites detected from a natural population of rice in a published study for research object,we constructed metabolic networks by a model and compared metabolic networks between indica and japonica to deepen our knowledge on metabolic regulation in rice based on genome-wide association study.The main contents and results are as follows:1)Combining metabolite-associated SNPs and phenotype data with a model,metabolic networks were built.Through a detailed analysis of the results,we found there are 10329 pairs of metabolites which have a relationship in the network in indica and 9271 pairs in japonica.However,only 3828 pairs are overlapped between the two networks,indicating that there is a large difference between the metabolic networks of the two subspecies.Meanwhile,we also found that the network structure of primary metabolites such as amino acid and fatty acid is more conservative than that of flavonoids.2)We inferred new likely metabolic reaction such as Smiglaside C produces Smiglaside A,whose possibility was explored by combining co-localization information and chemical structure.