Metabolome-Proteome Differentiation Coupled to Microbial Divergence

Journal Article · Fri Jan 01 00:00:00 EST 2010 · mBio (Online)

DOI:https://doi.org/10.1128/mBio.00246-10· OSTI ID:1000728

Wilmes, P ^[1]; Bowen, Benjamin P. ^[2]; Thomas, Brian ^[1]; Mueller, Ryan ^[1]; Denef, Vincent ^[1]; Verberkmoes, Nathan C ^[3]; Northen, Trent R. ^[2]; Banfield, Jillian F. ^[1]

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1. University of California, Berkeley
2. Lawrence Berkeley National Laboratory (LBNL)
3. ORNL

Tandem high-throughput proteomics and metabolomics were employed to functionally characterize natural microbial biofilm communities. Distinct molecular signatures exist for each analyzed sample. Deconvolution of the high-resolution molecular data demonstrates that identified proteins and detected metabolites exhibit organism-specific correlation patterns. These patterns are reflective of the functional differentiation of two bacterial species that share the same genus and that co-occur in the sampled microbial communities. Our analyses indicate that the two species have similar niche breadths and are not in strong competition with one another.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1000728
• Journal Information: mBio (Online), Vol. 1, Issue 5; ISSN 2150-7511
• Country of Publication: United States
• Language: English

Related Subjects

59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMMUNITIES
FUNCTIONALS
METABOLITES
PROTEINS