Evidence map›Paper›PMID 27701451›Full record

ArticlePloS one2016

External Resistances Applied to MFC Affect Core Microbiome and Swine Manure Treatment Efficiencies.

Anna Vilajeliu-Pons, Lluis Bañeras, Sebastià Puig, Daniele Molognoni, Albert Vilà-Rovira, Elena Hernández-Del Amo, Maria D Balaguer, Jesús Colprim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Machine Learning in Bioelectrocatalysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  3. Review
  4. Article
  5. Article
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

8 authors at 2 institutions in 2 countries.

Anna Vilajeliu-PonsLEQUiA, Institute of the Environment, University of Girona, Girona, Spain.
Lluis BañerasMolecular Microbial Ecology Group, Institute of Aquatic Ecology, University of Girona, Girona, Spain.
Sebastià PuigLEQUiA, Institute of the Environment, University of Girona, Girona, Spain.
Daniele MolognoniDepartment of Civil Engineering and Architecture (D.I.C.Ar.), University of Pavia, Pavia, Italy.
Albert Vilà-RoviraLEQUiA, Institute of the Environment, University of Girona, Girona, Spain.
Elena Hernández-Del AmoMolecular Microbial Ecology Group, Institute of Aquatic Ecology, University of Girona, Girona, Spain.
Maria D BalaguerLEQUiA, Institute of the Environment, University of Girona, Girona, Spain.
Jesús ColprimLEQUiA, Institute of the Environment, University of Girona, Girona, Spain.
University of Girona · ESUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial fuel cells (MFCs) can be designed to combine water treatment with concomitant electricity production. Animal manure treatment has been poorly explored using MFCs, and its implementation at full-scale primarily relies on the bacterial distribution and activity within the treatment cell. This study reports the bacterial community changes at four positions within the anode of two almost identically operated MFCs fed swine manure. Changes in the microbiome structure are described according to the MFC fluid dynamics and the application of a maximum power point tracking system (MPPT) compared to a fixed resistance system (Ref-MFC). Both external resistance and cell hydrodynamics are thought to heavily influence MFC performance. The microbiome was characterised both quantitatively (qPCR) and qualitatively (454-pyrosequencing) by targeting bacterial 16S rRNA genes. The diversity of the microbial community in the MFC biofilm was reduced and differed from the influent swine manure. The adopted electric condition (MPPT vs fixed resistance) was more relevant than the fluid dynamics in shaping the MFC microbiome. MPPT control positively affected bacterial abundance and promoted the selection of putatively exoelectrogenic bacteria in the MFC core microbiome (Sedimentibacter sp. and gammaproteobacteria). These differences in the microbiome may be responsible for the two-fold increase in power production achieved by the MPPT-MFC compared to the Ref-MFC.

Indexed as

AnimalsBacillotaBioelectric Energy SourcesGammaproteobacteriaHigh-Throughput Nucleotide SequencingHydrodynamicsManureRNA, BacterialRNA, Ribosomal, 16SSwineManureRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID27701451
PMCPMC5049776
OpenAlexW2528240835

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.