Metabolome-proteome differentiation coupled to microbial divergence.
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.
Department of Earth and Planetary Science, University of California, Berkeley, California, USA.
Paul
P
Wilmes
Benjamin P
BP
Bowen
Brian C
BC
Thomas
Ryan S
RS
Mueller
Vincent J
VJ
Denef
Nathan C
NC
VerBerkmoes
Robert L
RL
Hettich
Trent R
TR
Northen
Jillian F
JF
Banfield
D001419:Bacteria / Q000737:chemistry* / Q000254:growth & development / Q000378:metabolism*; D018441:Biofilms; D004783:Environmental Microbiology; D057166:High-Throughput Screening Assays; D055442:Metabolome; D020543:Proteome / Q000032:analysis*; D013223:Statistics as Topic
D020543:Proteome