Different autotrophic enrichments yield efficient inocula for biocathodic applications
Gulay, A.; Jensen, M. M.; Sicheritz-Ponten, T.; Smets, B. F.
Show abstract
The uptake of extracellular electrons from cathodes by microbes is a recently discovered phenomenon. However, current knowledge on the diversity of microbes accepting extracellular electrons and populating biocathodes is scarce. Research is required to explore the distribution of extracellular electron uptake metabolism in the tree of life across microbial guilds. Here we characterize the electron uptake ability of microbial guilds enriched on H2, S2O32-, or CH4 and NH4+ from the same inoculum taken from a groundwater treatment sand-filter. We hypothesized that functional microbes having dense outer membrane cytochromes in their native pathway, such as pathways of NH4+, CH4, S2O32- and H2, can perform extracellular electron uptake. We aimed of addressing the following questions: (1) Are there any known microbial member of anticipated function performing extracellular electron transfer? (2) How does electron uptake efficiency vary between the different functional guilds? (3) How is the dissipated electron energy distributed across metabolisms? We developed and applied a novel pipeline to identify taxa utilizing direct electron energy and utilizing secondary microbial products. We report the putative direct electron uptake metabolism of types belonging to Methylomonas, UBA6140, and Nitrosomonas. Furthermore, members of Streptococcaceae, Rhizobiaceae, Streptococcus, Brevundimonas, Chryseobacterium, and Pseudomonas are detected as electroactive taxa. Our results reveal novel insights into the diversity, electrochemical activity, and metabolism of taxa performing direct electron uptake.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Electroactive biofilms on surface functionalized anodes: the anode respiring behavior of a novel electroactive bacterium, Desulfuromonas acetexigens 97%
- Linking Population Dynamics to Microbial Kinetics for Hybrid Modeling of Engineered Bioprocesses 97%
- Denitrification kinetics indicates nitrous oxide uptake is unaffected by electron competition in Accumulibacter 95%
Similar papers in this journal
- Metagenomics and Metatranscriptomics Suggest Pathways of 3-Chloroaniline Degradation in Wastewater Reactors 95%
- Impact of pH and removed filtrate on E. coli regrowth and microbial community during storage of electro-dewatered biosolids 95%
- Microbial community-based production of single cell protein from soybean-processing wastewater of variable chemical composition 95%
Similar papers in this journal
- Time series metagenomic sampling of the Thermopyles, Greece, geothermal springs reveals stable microbial communities dominated by novel sulfur-oxidizing chemoautotrophs 93%
- Metabolic Segregation and Functional Gene Clusters in Anaerobic Digestion Consortia 93%
- Microbial communities from weathered outcrops of a sulfide-rich ultramafic intrusion, and implications for mine waste management 92%
Similar papers in this journal
- 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 94%
- Antibiotic Resistance Gene Variant Sequencing is Necessary to Reveal the Complex Dynamics of Immigration from Sewers to Activated Sludge 94%
- Thiocyanate and organic carbon inputs drive convergent selection for specific autotrophic Afipia and Thiobacillus strains within complex microbiomes 93%
Similar papers in this journal
- Cobalt induces the set-up of new structural network in river biofilms: Impairment of autotrophic-heterotrophic coupling. 93%
- Multi-compartment impact of micropollutants and particularly antibiotics on bacterial communities using environmental DNA at river basin-level 92%
- Response of Wastewater-Based Epidemiology Predictor for the Second Wave of COVID-19 in Ahmedabad, India: A Long-term Data Perspective 91%
"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.