Evolutionary dynamics of microbial communities in bioelectrochemical systems.
Szydlowski, L.; Sorokin, A.; Vasieva, O.; Fedorovich, V.; Goryanin, I.
Show abstract
Bio-electrochemical systems can generate electricity by virtue of mature microbial consortia that gradually and spontaneously optimize performance. To evaluate selective enrichment of these electrogenic microbial communities, five, 3-electrode reactors were inoculated with microbes derived from rice wash wastewater and incubated under a range of applied potentials. Reactors were sampled over a 12-week period and DNA extracted from anodal, cathodal, and planktonic bacterial communities was interrogated using a custom-made bioinformatics pipeline that combined 16S and metagenomic samples to monitor temporal changes in community composition. Some genera that constituted a minor proportion of the initial inoculum dominated within weeks following inoculation and correlated with applied potential. For instance, the abundance of Geobacter increased from 423-fold to 766-fold between -350 mV and -50 mV, respectively. Full metagenomic profiles of bacterial communities were obtained from reactors operating for 12 weeks. Functional analyses of metagenomes revealed metabolic changes between different species of the dominant genus, Geobacter, suggesting that optimal nutrient utilization at the lowest electrode potential is achieved via genome rearrangements and a strong inter-strain selection, as well as adjustment of the characteristic syntrophic relationships. These results reveal a certain degree of metabolic plasticity of electrochemically active bacteria and their communities in adaptation to adverse anodic and cathodic environments.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Linking Population Dynamics to Microbial Kinetics for Hybrid Modeling of Engineered Bioprocesses 97%
- Triangulation of microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles 96%
- Electroactive biofilms on surface functionalized anodes: the anode respiring behavior of a novel electroactive bacterium, Desulfuromonas acetexigens 96%
Similar papers in this journal
- Co-occurrence of Direct and Indirect Extracellular Electron Transfer Mechanisms during Electroactive Respiration in a Dissimilatory Sulfate Reducing Bacterium 96%
- Geobacter sulfurreducens' unique metabolism results in cells with a high iron and lipid content 96%
- Sulfonamide resistance gene sul4 is hosted by common wastewater sludge bacteria and found in various newly described contexts and hosts including clinically relevant species 95%
Similar papers in this journal
- Thiocyanate and organic carbon inputs drive convergent selection for specific autotrophic Afipia and Thiobacillus strains within complex microbiomes 96%
- An open-source multiple-bioreactor system for replicable gas-fermentation experiments: Nitrate feed results in stochastic inhibition events, but improves ethanol production of Clostridium ljungdahlii with CO2 and H2 96%
- Antibiotic Resistance Gene Variant Sequencing is Necessary to Reveal the Complex Dynamics of Immigration from Sewers to Activated Sludge 94%
Similar papers in this journal
- The bi-directional extracellular electron transfer process aids iron cycling by Geoalkalibacter halelectricus in a highly saline-alkaline condition 97%
- Propionate oxidation by Geobacter sulfurreducens is electron acceptor dependent 96%
- Severe corrosion of carbon steel in oil field produced water can be linked to methanogenic archaea containing a special type of hydrogenase. 95%
Similar papers in this journal
- Carbon Assimilation Strategies in Ultrabasic Groundwater: Clues from the Integrated Study of a Serpentinization-Influenced Aquifer 95%
- Extracellular electron transfer genes expressed by candidate flocking bacteria in cable bacteria sediment 95%
- Microbial consortiums of putative degraders of low-density polyethylene-associated compounds in the ocean 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.