Evidence map›Paper›PMID 22950603›Full record

ArticleMicrobial biotechnology2012

Searching for links in the biotic characteristics and abiotic parameters of nine different biogas plants.

Andreas Walter, Brigitte A Knapp, Theresa Farbmacher, Christian Ebner, Heribert Insam, Ingrid H Franke-Whittle

Abstract read
In one paragraph

Article in Microbial biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

6 authors.

Andreas WalterUniversity of Innsbruck, Institute of Microbiology, Technikerstraße 25d, 6020 Innsbruck, Austria. andreas.walter@student.uibk.ac.at
Brigitte A Knapp
Theresa Farbmacher
Christian Ebner
Heribert Insam
Ingrid H Franke-Whittle

Funding

Austrian Science Fund FWF P 20001
6 · The paper itself

Abstract

To find links between the biotic characteristics and abiotic process parameters in anaerobic digestion systems, the microbial communities of nine full-scale biogas plants in South Tyrol (Italy) and Vorarlberg (Austria) were investigated using molecular techniques and the physical and chemical properties were monitored. DNA from sludge samples was subjected to microarray hybridization with the ANAEROCHIP microarray and results indicated that sludge samples grouped into two main clusters, dominated either by Methanosarcina or by Methanosaeta, both aceticlastic methanogens. Hydrogenotrophic methanogens were hardly detected or if detected, gave low hybridization signals. Results obtained using denaturing gradient gel electrophoresis (DGGE) supported the findings of microarray hybridization. Real-time PCR targeting Methanosarcina and Methanosaeta was conducted to provide quantitative data on the dominating methanogens. Correlation analysis to determine any links between the microbial communities found by microarray analysis, and the physicochemical parameters investigated was conducted. It was shown that the sludge samples dominated by the genus Methanosarcina were positively correlated with higher concentrations of acetate, whereas sludge samples dominated by representatives of the genus Methanosaeta had lower acetate concentrations. No other correlations between biotic characteristics and abiotic parameters were found. Methanogenic communities in each reactor were highly stable and resilient over the whole year.

Indexed as

BiotaIndustrial MicrobiologyAcetatesAnaerobiosisAustriaBiofuelsDenaturing Gradient Gel ElectrophoresisItalyMetagenomeMethanosarcinaMethanosarcinalesMicroarray AnalysisReal-Time Polymerase Chain ReactionSewageAcetatesBiofuelsSewage

Identifiers

PMID22950603
PMCPMC3532602

What OpenQuestion holds

Textmetadata
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Registered trials

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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.