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Indicative marker microbiome structures deduced from the taxonomic inventory of 67 full-scale anaerobic digesters of 49 agricultural biogas plants

Affiliation
Center for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, Bielefeld, Germany
Hassa, Julia;
Affiliation
Department Bioengineering, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, Potsdam, Germany
Klang, Johanna;
Affiliation
Bioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, Magdeburg, Germany
Benndorf, Dirk;
Affiliation
Biochemical Conversion Department, DBFZ Deutsches Biomasseforschungszentrum Gemeinnützige GmbH, Torgauer Straße 116, Leipzig, Germany
Pohl, Marcel;
Affiliation
The State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, Stuttgart, Germany
Hülsemann, Benedikt;
Affiliation
Institute of Agricultural Engineering, Kiel University, Max-Eyth-Str. 6, Kiel, Germany
Mächtig, Torsten;
Affiliation
Institute for Agricultural Engineering and Animal Husbandry, Bavarian State Research Center for Agriculture, Vöttinger Str. 36, Freising, Germany
Effenberger, Mathias;
Affiliation
Center for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, Bielefeld, Germany
Pühler, Alfred;
Affiliation
Center for Biotechnology (CeBiTec), Bielefeld University, Universitätsstrasse 27, Bielefeld, Germany
Schlüter, Andreas;
Affiliation
Department Bioengineering, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, Potsdam, Germany
Theuerl, Susanne

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.

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