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.
Wilmes
Paul
P
Department of Earth and Planetary Science, University of California, Berkeley, California, USA.
Bowen
Benjamin P
BP
Thomas
Brian C
BC
Mueller
Ryan S
RS
Denef
Vincent J
VJ
VerBerkmoes
Nathan C
NC
Hettich
Robert L
RL
Northen
Trent R
TR
Banfield
Jillian F
JF
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