Environmental metabolomics: Databases and tools for data analysis

• Published in: Marine chemistry Vol. 177; pp. 366 - 373
• Main Authors: Longnecker, Krista, Futrelle, Joe, Coburn, Elizabeth, Kido Soule, Melissa C., Kujawinski, Elizabeth B.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-12-2015
• Subjects: Computer programs; Data analysis; Data processing; Database design; Information dissemination; Marine; Marine chemistry; Marine environments; Metabolites; Metabolomics; Target recognition; Metabolomics; Database design; Data analysis
• ISSN: 0304-4203; 1872-7581
• DOI: 10.1016/j.marchem.2015.06.012

Metabolomics is the study of small molecules, or ‘metabolites’, that are the end products of biological processes. While -omics technologies such as genomics, transcriptomics, and proteomics measure the metabolic potential of organisms, metabolomics provides detailed information on the organic compounds produced during metabolism and found within cells and in the environment. Improvements in analytical techniques have expanded our understanding of metabolomics and developments in computational tools have made metabolomics data accessible to a broad segment of the scientific community. Yet, metabolomics methods have only been applied to a limited number of projects in the marine environment. Here, we review analysis techniques for mass spectrometry data and summarize the current state of metabolomics databases. We then describe a boutique database developed in our laboratory for efficient data analysis and selection of mass spectral targets for metabolite identification. The code to implement the database is freely available on GitHub (https://github.com/joefutrelle/domdb). Data organization and analysis are critical, but often under-appreciated, components of metabolomics research. Future advances in environmental metabolomics will take advantage of continued development of new tools that facilitate analysis of large metabolomics datasets.
•We review analysis techniques for mass spectrometry data and existing metabolomics databases.•We describe a boutique database developed in our laboratory for data organization and analysis.•Future advances in environmental metabolomics will require new tools to analyze metabolomics data.