Evidence map›Paper›PMID 34361893›Full record

ArticleMicroorganisms2021

Indicative Marker Microbiome Structures Deduced from the Taxonomic Inventory of 67 Full-Scale Anaerobic Digesters of 49 Agricultural Biogas Plants.

Julia Hassa, Johanna Klang, Dirk Benndorf, Marcel Pohl, Benedikt Hülsemann, Torsten Mächtig, Mathias Effenberger, Alfred Pühler, Andreas Schlüter, Susanne Theuerl

Abstract read
In one paragraph

Article in Microorganisms, 2021. 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
–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

5 citing papers in PubMed.

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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

10 authors.

Julia HassaCenter for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, 33615 Bielefeld, Germany.ORCID 0000-0001-7411-6186
Johanna KlangDepartment Bioengineering, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
Dirk BenndorfBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.ORCID 0000-0003-4021-8525
Marcel PohlBiochemical Conversion Department, DBFZ Deutsches Biomasseforschungszentrum Gemeinnützige GmbH, Torgauer Straße 116, 04347 Leipzig, Germany.ORCID 0000-0002-8413-1870
Benedikt HülsemannThe State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, 70599 Stuttgart, Germany.
Torsten MächtigInstitute of Agricultural Engineering, Kiel University, Max-Eyth-Str. 6, 24118 Kiel, Germany.ORCID 0000-0003-4254-8464
Mathias EffenbergerInstitute for Agricultural Engineering and Animal Husbandry, Bavarian State Research Center for Agriculture, Vöttinger Str. 36, 85354 Freising, Germany.ORCID 0000-0003-3002-441X
Alfred PühlerCenter for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, 33615 Bielefeld, Germany.ORCID 0000-0003-4723-2960
Andreas SchlüterCenter for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, 33615 Bielefeld, Germany.ORCID 0000-0003-4830-310X
Susanne TheuerlDepartment Bioengineering, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469 Potsdam, Germany.ORCID 0000-0003-0829-1992

Funding

Bielefeld-Gießen Center for Microbial Bioinformatics - BiGi 031A533, 031L0103Fachagentur Nachwachsende Rohstoffe FKZ 22403915, 22404015, 22404115, 22403515, 22403615, 22403715, 22403815Horizon 2020 No. 818431
6 · The paper itself

Abstract

There are almost 9500 biogas plants in Germany, which are predominantly operated with energy crops and residues from livestock husbandry over the last two decades. In the future, biogas plants must be enabled to use a much broader range of input materials in a flexible and demand-oriented manner. Hence, the microbial communities will be exposed to frequently varying process conditions, while an overall stable process must be ensured. To accompany this transition, there is the need to better understand how biogas microbiomes respond to management measures and how these responses affect the process efficiency. Therefore, 67 microbiomes originating from 49 agricultural, full-scale biogas plants were taxonomically investigated by 16S rRNA gene amplicon sequencing. These microbiomes were separated into three distinct clusters and one group of outliers, which are characterized by a specific distribution of 253 indicative taxa and their relative abundances. These indicative taxa seem to be adapted to specific process conditions which result from a different biogas plant operation. Based on these results, it seems to be possible to deduce/assess the general process condition of a biogas digester based solely on the microbiome structure, in particular on the distribution of specific indicative taxa, and without knowing the corresponding operational and chemical process parameters. Perspectively, this could allow the development of detection systems and advanced process models considering the microbial diversity.

Indexed as

16S rRNA gene amplicon sequencinganaerobic digestionbiogas microbiomeindicative taxaNMDSPearson correlationstaxonomic profiling

Identifiers

PMID34361893
PMCPMC8307424

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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.