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

dc.bibliographicCitation.firstPage1457eng
dc.bibliographicCitation.issue7eng
dc.bibliographicCitation.volume9eng
dc.contributor.authorHassa, Julia
dc.contributor.authorKlang, Johanna
dc.contributor.authorBenndorf, Dirk
dc.contributor.authorPohl, Marcel
dc.contributor.authorHülsemann, Benedikt
dc.contributor.authorMächtig, Torsten
dc.contributor.authorEffenberger, Mathias
dc.contributor.authorPühler, Alfred
dc.contributor.authorSchlüter, Andreas
dc.contributor.authorTheuerl, Susanne
dc.date.accessioned2022-03-29T06:24:00Z
dc.date.available2022-03-29T06:24:00Z
dc.date.issued2021
dc.description.abstractThere 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.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/8415
dc.identifier.urihttps://doi.org/10.34657/7453
dc.language.isoengeng
dc.publisherBasel : MDPIeng
dc.relation.doihttps://doi.org/10.3390/microorganisms9071457
dc.relation.essn2076-2607
dc.relation.ispartofseriesMicroorganisms : open access journal 9 (2021), Nr. 7eng
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject16S rRNA gene amplicon sequencingeng
dc.subjectAnaerobic digestioneng
dc.subjectBiogas microbiomeeng
dc.subjectIndicative taxaeng
dc.subjectNMDSeng
dc.subjectPearson correlationseng
dc.subjectTaxonomic profilingeng
dc.subject.ddc570eng
dc.titleIndicative Marker Microbiome Structures Deduced from the Taxonomic Inventory of 67 Full-Scale Anaerobic Digesters of 49 Agricultural Biogas Plantseng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleMicroorganisms : open access journaleng
tib.accessRightsopenAccesseng
wgl.contributorATBeng
wgl.subjectBiowissensschaften/Biologieeng
wgl.typeZeitschriftenartikeleng
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