Proteomics

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Multi-level microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles


ABSTRACT: The anaerobic digestion microbiomes has been puzzling us since the dawn of molecular methods for mixed microbial community analysis. Monitoring of the anaerobic digestion microbiome can either take place via a holistic evaluation of the microbial community through fingerprinting or by targeted monitoring of selected taxa. Here, we compared four different microbial community fingerprinting methods, i.e., amplicon sequencing, metaproteomics, metabolomics and phenotypics, in their ability to reflect the full-scale anaerobic digestion microbiome. The phenotypic fingerprinting reflects a, for anaerobic digestion, novel, single cell-based approach of direct microbial community fingerprinting. Three different digester types, i.e., sludge digesters, digesters treating agro-industrial waste and dry anaerobic digesters reflected different operational parameters. The α-diversity analysis yielded inconsistent results, especially for richness, across the different methods. In contrast, β-diversity analysis resulted in comparable profiles, even when translated into phyla or functions, with clear separation of the three digester types. In-depth analysis of each method's features i.e., operational taxonomic units, metaproteins, metabolites, and phenotypic traits, yielded certain similar features yet, also some clear differences between the different methods, which was related to the complexity of the anaerobic digestion process. In conclusion, phenotypic fingerprinting is a reliable, fast method for holistic monitoring of the anaerobic digestion microbiome, and the complementary identification of key features through other methods could give rise to a direct interpretation of anaerobic digestion process performance.

INSTRUMENT(S): timsTOF Pro, LTQ Orbitrap Elite

ORGANISM(S): Anaerobic Digester Metagenome Human Gut Metagenome

SUBMITTER: Robert Heyer  

LAB HEAD: Dirk Benndorf

PROVIDER: PXD024788 | Pride | 2021-05-26

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
BE_01_GB6.dat Other
BE_01_GB6.mgf Mgf
BE_01_GB6.raw Raw
BE_02_GD7.dat Other
BE_02_GD7.mgf Mgf
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