ArticleScientific reports2015
Microbial metabolic networks in a complex electrogenic biofilm recovered from a stimulus-induced metatranscriptomics approach.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Metabolic cross-feeding interactions modulate the dynamic community structure in microbial fuel cell under variable organic loading wastewaters.PLoS computational biology · 2024Article
- Sulfate-reducing bacteria unearthed: ecological functions of the diverse prokaryotic group in terrestrial environments.Applied and environmental microbiology · 2024Review
- Beneficial microbiomes for bioremediation of diverse contaminated environments for environmental sustainability: present status and future challenges.Environmental science and pollution research international · 2021Review
- Effects of set cathode potentials on microbial electrosynthesis system performance and biocathode methanogen function at a metatranscriptional level.Scientific reports · 2020Article
- Taxonomic and functional characterization of a microbial community from a volcanic englacial ecosystem in Deception Island, Antarctica.Scientific reports · 2019Article
- Comparative metatranscriptomics reveals extracellular electron transfer pathways conferring microbial adaptivity to surface redox potential changes.The ISME journal · 2018Article
- Metagenomic insights into diazotrophic communities across Arctic glacier forefields.FEMS microbiology ecology · 2018Article
- Meta-proteomic analysis of protein expression distinctive to electricity-generating biofilm communities in air-cathode microbial fuel cells.Biotechnology for biofuels · 2018Article
- Genomic andFrontiers in microbiology · 2018Article
- Unusual metabolic diversity of hyperalkaliphilic microbial communities associated with subterranean serpentinization at The Cedars.The ISME journal · 2017Article
- Bioelectricity (electromicrobiology) and sustainability.Microbial biotechnology · 2017Article
- Capturing the genetic makeup of the active microbiome in situ.The ISME journal · 2017Review
- Metabolic Reconstruction and Modeling Microbial Electrosynthesis.Scientific reports · 2017Article
- Syntrophic association and performance of Clostridium, Desulfovibrio, Aeromonas and Tetrathiobacter as anodic biocatalysts for bioelectricity generation in dual chamber microbial fuel cell.Environmental science and pollution research international · 2017Article
- Non-autotrophic methanogens dominate in anaerobic digesters.Scientific reports · 2017Article
- Influence of Anode Potentials on Current Generation and Extracellular Electron Transfer Paths of Geobacter Species.International journal of molecular sciences · 2017Article
- The Identification of Cable Bacteria Attached to the Anode of a Benthic Microbial Fuel Cell: Evidence of Long Distance Extracellular Electron Transport to Electrodes.Frontiers in microbiology · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microorganisms almost always exist as mixed communities in nature. While the significance of microbial community activities is well appreciated, a thorough understanding about how microbial communities respond to environmental perturbations has not yet been achieved. Here we have used a combination of metagenomic, genome binning, and stimulus-induced metatranscriptomic approaches to estimate the metabolic network and stimuli-induced metabolic switches existing in a complex microbial biofilm that was producing electrical current via extracellular electron transfer (EET) to a solid electrode surface. Two stimuli were employed: to increase EET and to stop EET. An analysis of cell activity marker genes after stimuli exposure revealed that only two strains within eleven binned genomes had strong transcriptional responses to increased EET rates, with one responding positively and the other responding negatively. Potential metabolic switches between eleven dominant members were mainly observed for acetate, hydrogen, and ethanol metabolisms. These results have enabled the estimation of a multi-species metabolic network and the associated short-term responses to EET stimuli that induce changes to metabolic flow and cooperative or competitive microbial interactions. This systematic meta-omics approach represents a next step towards understanding complex microbial roles within a community and how community members respond to specific environmental stimuli.
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