Evidence map›Paper›PMID 27242723›Full record

ArticleFrontiers in microbiology2016

Segregation of the Anodic Microbial Communities in a Microbial Fuel Cell Cascade.

Douglas M Hodgson, Ann Smith, Sonal Dahale, James P Stratford, Jia V Li, André Grüning, Michael E Bushell, Julian R Marchesi, C Avignone Rossa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 65 citations in OpenAlex.

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  12. Electricity Generation byFrontiers in microbiology · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Douglas M HodgsonDepartment of Microbial and Cellular Sciences, University of Surrey Guildford, UK.
Ann SmithCardiff School of Biosciences, Cardiff University Cardiff, UK.
Sonal DahaleDepartment of Microbial and Cellular Sciences, University of Surrey Guildford, UK.
James P StratfordWarwick Integrative Synthetic Biology Centre, University of Warwick Coventry, UK.
Jia V LiCentre for Digestive and Gut Health, Department of Surgery and Cancer, Imperial College LondonLondon, UK; Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College LondonLondon, UK.
André GrüningDepartment of Computer Science, University of Surrey Guildford, UK.
Michael E BushellDepartment of Microbial and Cellular Sciences, University of Surrey Guildford, UK.
Julian R MarchesiCardiff School of Biosciences, Cardiff UniversityCardiff, UK; Centre for Digestive and Gut Health, Department of Surgery and Cancer, Imperial College LondonLondon, UK.
C Avignone RossaDepartment of Microbial and Cellular Sciences, University of Surrey Guildford, UK.
University of Surrey · GBCardiff University · GBImperial College London · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic interactions within microbial communities are essential for the efficient degradation of complex organic compounds, and underpin natural phenomena driven by microorganisms, such as the recycling of carbon-, nitrogen-, and sulfur-containing molecules. These metabolic interactions ultimately determine the function, activity and stability of the community, and therefore their understanding would be essential to steer processes where microbial communities are involved. This is exploited in the design of microbial fuel cells (MFCs), bioelectrochemical devices that convert the chemical energy present in substrates into electrical energy through the metabolic activity of microorganisms, either single species or communities. In this work, we analyzed the evolution of the microbial community structure in a cascade of MFCs inoculated with an anaerobic microbial community and continuously fed with a complex medium. The analysis of the composition of the anodic communities revealed the establishment of different communities in the anodes of the hydraulically connected MFCs, with a decrease in the abundance of fermentative taxa and a concurrent increase in respiratory taxa along the cascade. The analysis of the metabolites in the anodic suspension showed a metabolic shift between the first and last MFC, confirming the segregation of the anodic communities. Those results suggest a metabolic interaction mechanism between the predominant fermentative bacteria at the first stages of the cascade and the anaerobic respiratory electrogenic population in the latter stages, which is reflected in the observed increase in power output. We show that our experimental system represents an ideal platform for optimization of processes where the degradation of complex substrates is involved, as well as a potential tool for the study of metabolic interactions in complex microbial communities.

Indexed as

anodic biofilmselectroactive bacteriametabolite profilingmetagenomic analysismicrobial communitiesmicrobialfuel cells

Identifiers

PMID27242723
PMCPMC4863660
OpenAlexW2370831430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.