MetaboLights MTBLS293 - GNPS Metabolites from surface seawater collected in Narragansett Bay

ABSTRACT: This data set was downloaded from MetaboLights (http://www.ebi.ac.uk/metabolights/) accession number MTBLS293 Abstract:In aquatic environments, the production and consumption of organic compounds is directly tied to the metabolic potential of the in situ microbial community. The community’s metabolic potential can be assessed using metatranscriptomics, which is a measure of gene expression in the environment. More recently, advances in metabolomics deliver details on specific organic compounds found in the environment. While the integration of these two datasets is desirable, the vast data streams can hinder investigations into biological and chemical processes. Here, we use data in the Kyoto Encyclopedia of Genes and Genomes (KEGG) combined with K means clustering to jointly interrogate metabolomics and metatranscriptomics data collected from a coastal marine environment. Using KEGG allowed us to focus our analysis on genes and compounds connected by a defined biochemical reaction. The K means clustering provided an unbiased means to place metabolites and genes into groups based on their temporal variability. Each of the groups defined by the K means clustering contained both transcripts and metabolites, which emphasized the interconnected nature of these two datasets. While conceptually simple, this analysis allowed us to explore a tractable number of biochemical pathways within our data. Continued development of computational tools to analyze meta-omics data is a pressing need. The application of tools such as described here is an exciting step towards integrated multi-omics data analysis that can be used to address broad questions in biogeochemical cycling.

INSTRUMENT(S): TSQ Vantage (Thermo Scientific)

ORGANISM(S): Sea Water

SUBMITTER: Longnecker  

PROVIDER: MSV000081039 | GNPS | Fri Apr 28 17:26:00 BST 2017

REPOSITORIES: GNPS