Evidence map›Paper›PMID 25874383›Full record

ReviewMicrobial biotechnology2015

Metaproteomics of complex microbial communities in biogas plants.

Robert Heyer, Fabian Kohrs, Udo Reichl, Dirk Benndorf

Abstract readReview
In one paragraph

Review in Microbial biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
  5. Bioinformatic Workflows for Metaproteomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Proteomic analysis to unravel the biochemical mechanisms triggered by Bacillus toyonensis SFC 500-1E under chromium(VI) and phenol stress.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. The Role ofMicroorganisms · 2020
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Robert HeyerBioprocess Engineering, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany.
Fabian KohrsBioprocess Engineering, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany.
Udo ReichlBioprocess Engineering, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany.
Dirk BenndorfBioprocess Engineering, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production of biogas from agricultural biomass or organic wastes is an important source of renewable energy. Although thousands of biogas plants (BGPs) are operating in Germany, there is still a significant potential to improve yields, e.g. from fibrous substrates. In addition, process stability should be optimized. Besides evaluating technical measures, improving our understanding of microbial communities involved into the biogas process is considered as key issue to achieve both goals. Microscopic and genetic approaches to analyse community composition provide valuable experimental data, but fail to detect presence of enzymes and overall metabolic activity of microbial communities. Therefore, metaproteomics can significantly contribute to elucidate critical steps in the conversion of biomass to methane as it delivers combined functional and phylogenetic data. Although metaproteomics analyses are challenged by sample impurities, sample complexity and redundant protein identification, and are still limited by the availability of genome sequences, recent studies have shown promising results. In the following, the workflow and potential pitfalls for metaproteomics of samples from full-scale BGP are discussed. In addition, the value of metaproteomics to contribute to the further advancement of microbial ecology is evaluated. Finally, synergistic effects expected when metaproteomics is combined with advanced imaging techniques, metagenomics, metatranscriptomics and metabolomics are addressed.

Indexed as

BiofuelsMicrobial ConsortiaBioreactorsBiotechnologyEcosystemGene Expression ProfilingGermanyMetabolomicsMetagenomicsProteomicsBiofuels

Identifiers

PMID25874383
PMCPMC4554464

What OpenQuestion holds

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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.