Literature DB >> 26152594

Fractionation of biogas plant sludge material improves metaproteomic characterization to investigate metabolic activity of microbial communities.

Fabian Kohrs1, Sophie Wolter1, Dirk Benndorf1, Robert Heyer1, Marcus Hoffmann2, Erdmann Rapp2, Andreas Bremges3, Alexander Sczyrba3, Andreas Schlüter3, Udo Reichl1,2.   

Abstract

With the development of high resolving mass spectrometers, metaproteomics evolved as a powerful tool to elucidate metabolic activity of microbial communities derived from full-scale biogas plants. Due to the vast complexity of these microbiomes, application of suitable fractionation methods are indispensable, but often turn out to be time and cost intense, depending on the method used for protein separation. In this study, centrifugal fractionation has been applied for fractionation of two biogas sludge samples to analyze proteins extracted from (i) crude fibers, (ii) suspended microorganisms, and (iii) secreted proteins in the supernatant using a gel-based approach followed by LC-MS/MS identification. This fast and easy method turned out to be beneficial to both the quality of SDS-PAGE and the identification of peptides and proteins compared to untreated samples. Additionally, a high functional metabolic pathway coverage was achieved by combining protein hits found exclusively in distinct fractions. Sample preparation using centrifugal fractionation influenced significantly the number and the types of proteins identified in the microbial metaproteomes. Thereby, comparing results from different proteomic or genomic studies, the impact of sample preparation should be considered. All MS data have been deposited in the ProteomeXchange with identifier PXD001508 (http://proteomecentral.proteomexchange.org/dataset/PXD001508).
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biogas plant; Differential centrifugation; Metabolism; Metaproteomics; Microbial communities; Microbiology

Mesh:

Substances:

Year:  2015        PMID: 26152594     DOI: 10.1002/pmic.201400557

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Metabolic Adaptation of Methanogens in Anaerobic Digesters Upon Trace Element Limitation.

Authors:  Babett Wintsche; Nico Jehmlich; Denny Popp; Hauke Harms; Sabine Kleinsteuber
Journal:  Front Microbiol       Date:  2018-03-13       Impact factor: 5.640

2.  MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways.

Authors:  Daniel Walke; Kay Schallert; Prasanna Ramesh; Dirk Benndorf; Emanuel Lange; Udo Reichl; Robert Heyer
Journal:  Int J Mol Sci       Date:  2021-10-12       Impact factor: 5.923

3.  Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant.

Authors:  Andreas Bremges; Irena Maus; Peter Belmann; Felix Eikmeyer; Anika Winkler; Andreas Albersmeier; Alfred Pühler; Andreas Schlüter; Alexander Sczyrba
Journal:  Gigascience       Date:  2015-07-30       Impact factor: 6.524

4.  Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type.

Authors:  R Heyer; D Benndorf; F Kohrs; J De Vrieze; N Boon; M Hoffmann; E Rapp; Andreas Schlüter; Alexander Sczyrba; U Reichl
Journal:  Biotechnol Biofuels       Date:  2016-07-26       Impact factor: 6.040

5.  Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework.

Authors:  Clemens Blank; Caleb Easterly; Bjoern Gruening; James Johnson; Carolin A Kolmeder; Praveen Kumar; Damon May; Subina Mehta; Bart Mesuere; Zachary Brown; Joshua E Elias; W Judson Hervey; Thomas McGowan; Thilo Muth; Brook Nunn; Joel Rudney; Alessandro Tanca; Timothy J Griffin; Pratik D Jagtap
Journal:  Proteomes       Date:  2018-01-31
  5 in total

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