Unknown

Dataset Information

0

Metagenomic Analyses Reveal That Energy Transfer Gene Abundances Can Predict the Syntrophic Potential of Environmental Microbial Communities.


ABSTRACT: Hydrocarbon compounds can be biodegraded by anaerobic microorganisms to form methane through an energetically interdependent metabolic process known as syntrophy. The microorganisms that perform this process as well as the energy transfer mechanisms involved are difficult to study and thus are still poorly understood, especially on an environmental scale. Here, metagenomic data was analyzed for specific clusters of orthologous groups (COGs) related to key energy transfer genes thus far identified in syntrophic bacteria, and principal component analysis was used in order to determine whether potentially syntrophic environments could be distinguished using these syntroph related COGs as opposed to universally present COGs. We found that COGs related to hydrogenase and formate dehydrogenase genes were able to distinguish known syntrophic consortia and environments with the potential for syntrophy from non-syntrophic environments, indicating that these COGs could be used as a tool to identify syntrophic hydrocarbon biodegrading environments using metagenomic data.

SUBMITTER: Oberding L 

PROVIDER: S-EPMC5029510 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Metagenomic Analyses Reveal That Energy Transfer Gene Abundances Can Predict the Syntrophic Potential of Environmental Microbial Communities.

Oberding Lisa L   Gieg Lisa M LM  

Microorganisms 20160105 1


Hydrocarbon compounds can be biodegraded by anaerobic microorganisms to form methane through an energetically interdependent metabolic process known as syntrophy. The microorganisms that perform this process as well as the energy transfer mechanisms involved are difficult to study and thus are still poorly understood, especially on an environmental scale. Here, metagenomic data was analyzed for specific clusters of orthologous groups (COGs) related to key energy transfer genes thus far identifie  ...[more]

Similar Datasets

| S-EPMC4034247 | biostudies-literature
| S-EPMC4031174 | biostudies-literature
| S-EPMC3659410 | biostudies-literature
| S-EPMC4502571 | biostudies-literature
| S-EPMC11326212 | biostudies-literature
2016-04-01 | GSE55293 | GEO
| S-EPMC5437353 | biostudies-literature
2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress
| S-EPMC3329107 | biostudies-other
| S-EPMC5218504 | biostudies-literature