Abstract
Integration of transcriptomics and metabolomics enabled us to predict the co-regulated gene and metabolite in Arabidopsis under sulfur deficiency (1). In particular, it was useful to identify the gene group in a same metabolic pathway, e.g. glucosinolate (GLS) biosynthesis. To identify other gene function, our integrated analysis was applied to identification of leucine (Leu) biosynthetic genes.
In Leu and methionine-derived GLS biosynthesis, a similar side-chain elongation reaction has been estimated. Candidate genes of Leu biosynthesis enzyme have appeared on the metabolic database (Aracyc), but their function have not been precisely tested. In this study, the candidate genes of GLS side-chain elongation enzymes and transcription factors were successfully predicted based on co-expression pattern with known GLS biosynthesis genes. The other genes, in contrast, did not show apparent co-expression with known GLS biosynthesis genes, suggesting that they are involved in Leu biosynthesis but not in GLS biosynthesis.
1. Hirai et al.,JBC (2005)
