ECOMICS:Ecosystem Trans-OMICS Tools and Methods for Complex Environmental Samples and DatasetsJun Kikuchi1,2,3,4*, Yoshiyuki Ogata1 and Kazuo Shinozaki1,2
- *Corresponding Author:
- Jun Kikuchi
RIKEN Plant Science Center
Kanagawa 230-0045, Japan
Received date: August 02, 2010; Accepted date: August 22, 2011; Published date: August 25, 2011
Citation: Kikuchi J, Ogata Y, Shinozaki K (2011) ECOMICS: Ecosystem Trans-OMICS Tools and Methods for Complex Environmental Samples and Datasets. J Ecosys Ecograph S2:001. doi:10.4172/2157-7625.S2-001
Copyright: © 2011 Kikuchi J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and and source are credited.
Despite the apparent detachment of modern industrial societies from natural ecosystems, such systems continue to provide enormous and essential benefits in the form of ecosystem services, including potable water, clean air, and forest products and fisheries. Further, engineered ecosystems, but ecosystems nevertheless, provide the majority of agricultural and additional forestry products. Relationships between ecosystem services and human needs can be identified by connecting genomic information of component organisms with enzyme functions, metabolic pathways and resulting product chemicals such as biomass. Tools that advance the understanding of ecosystem function from the perspective of both environmental and metabolic systems are an important aspect of the emerging systems approach to biological science. We introduce here a web service designated “ECOMICS” to provide an omics approach to clarify such relationships. ECOMICS comprises the E-class web tool for taxonomic (metagenomic) classification based on prokaryotic and eukaryotic ribosomal sequences and selected functional (enzymatic) classification based on sequential domains, FT2DB for the digitization of NMR spectra for chemicals from metabolic to macromolecular phenotyping, Bm-Char for the chemical (macromolecular biomass) assignment of lignocellulose components, and HetMap for identifying and viewing correlations between heterogeneous trans-omics data sets that are produced by such web tools. This website is open to the public domain: https://database.riken.jp/ecomics/.