6 Conclusions
In the present studies on sulfur metabolism and anthocyanin production, we could integrate metabolomics and transcriptomics and predict comprehensively gene function especially in secondary metabolism. Concerning the production of secondary metabolites, the regulation at the transcriptional level may be dominant over other regulation at translational and enzymatic activity levels, and hence the transcript profile may determine directly the metabolite profile. We believe that almost all genes involved in the secondary metabolism of interest can be identified by the approach presented in this article. This type of functional genomics can be applied to novel biosynthetic pathway in non-model plants, crops and medicinal plants by using transcriptome analysis such as cDNA-AFLP and cDNA subtraction as substitutions for DNA array.
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Hirai, M.Y., Tohge, T., Saito, K. (2006). Systems-based Analysis of Plant Metabolism by Integration of Metabolomics with Transcriptomics. In: Saito, K., Dixon, R.A., Willmitzer, L. (eds) Plant Metabolomics. Biotechnology in Agriculture and Forestry, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29782-0_15
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DOI: https://doi.org/10.1007/3-540-29782-0_15
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