Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants.
Heyer R, Schallert K, Siewert C, Kohrs F, Greve J, Maus I, Klang J, Klocke M, Heiermann M, Hoffmann M, Puttker S, et al. (2019)
Microbiome 7(1): 69.
Zeitschriftenaufsatz
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Autor*in
Heyer, R;
Schallert, K;
Siewert, C;
Kohrs, F;
Greve, J;
Maus, IrenaUniBi;
Klang, J;
Klocke, M;
Heiermann, M;
Hoffmann, M;
Puttker, S;
Calusinska, M
Alle
Alle
Einrichtung
Abstract / Bemerkung
BACKGROUND: In biogas plants, complex microbial communities produce methane and carbon dioxide by anaerobic digestion of biomass. For the characterization of the microbial functional networks, samples of 11 reactors were analyzed using a high-resolution metaproteomics pipeline.; RESULTS: Examined methanogenesis archaeal communities were either mixotrophic or strictly hydrogenotrophic in syntrophy with bacterial acetate oxidizers. Mapping of identified metaproteins with process steps described by the Anaerobic Digestion Model 1 confirmed its main assumptions and also proposed some extensions such as syntrophic acetate oxidation or fermentation of alcohols. Results indicate that the microbial communities were shaped by syntrophy as well as competition and phage-host interactions causing cell lysis. For the families Bacillaceae, Enterobacteriaceae, and Clostridiaceae, the number of phages exceeded up to 20-fold the number of host cells.; CONCLUSION: Phage-induced cell lysis might slow down the conversion of substrates to biogas, though, it could support the growth of auxotrophic microbes by cycling of nutrients.
Erscheinungsjahr
2019
Zeitschriftentitel
Microbiome
Band
7
Ausgabe
1
Art.-Nr.
69
ISSN
2049-2618
Page URI
https://pub.uni-bielefeld.de/record/2935489
Zitieren
Heyer R, Schallert K, Siewert C, et al. Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome. 2019;7(1): 69.
Heyer, R., Schallert, K., Siewert, C., Kohrs, F., Greve, J., Maus, I., Klang, J., et al. (2019). Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome, 7(1), 69. doi:10.1186/s40168-019-0673-y
Heyer, R, Schallert, K, Siewert, C, Kohrs, F, Greve, J, Maus, Irena, Klang, J, et al. 2019. “Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants.”. Microbiome 7 (1): 69.
Heyer, R., Schallert, K., Siewert, C., Kohrs, F., Greve, J., Maus, I., Klang, J., Klocke, M., Heiermann, M., Hoffmann, M., et al. (2019). Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome 7:69.
Heyer, R., et al., 2019. Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome, 7(1): 69.
R. Heyer, et al., “Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants.”, Microbiome, vol. 7, 2019, : 69.
Heyer, R., Schallert, K., Siewert, C., Kohrs, F., Greve, J., Maus, I., Klang, J., Klocke, M., Heiermann, M., Hoffmann, M., Puttker, S., Calusinska, M., Zoun, R., Saake, G., Benndorf, D., Reichl, U.: Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants. Microbiome. 7, : 69 (2019).
Heyer, R, Schallert, K, Siewert, C, Kohrs, F, Greve, J, Maus, Irena, Klang, J, Klocke, M, Heiermann, M, Hoffmann, M, Puttker, S, Calusinska, M, Zoun, R, Saake, G, Benndorf, D, and Reichl, U. “Metaproteome analysis reveals that syntrophy, competition, and phage-host interaction shape microbial communities in biogas plants.”. Microbiome 7.1 (2019): 69.
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UniProt Consortium, Bateman A, Martin MJ, O'Donovan C, Magrane M, Apweiler R, Alpi E, Antunes R, Arganiska J, Bely B, Bingley M, Bonilla C, Britto R, Bursteinas B, Chavali G, Cibrian-Uhalte E, Silva AD, De Giorgi M, Dogan T, Fazzini F, Gane P, Castro LG, Garmiri P, Hatton-Ellis E, Hieta R, Huntley R, Legge D, Liu W, Luo J, MacDougall A, Mutowo P, Nightingale A, Orchard S, Pichler K, Poggioli D, Pundir S, Pureza L, Qi G, Rosanoff S, Saidi R, Sawford T, Shypitsyna A, Turner E, Volynkin V, Wardell T, Watkins X, Zellner H, Cowley A, Figueira L, Li W, McWilliam H, Lopez R, Xenarios I, Bougueleret L, Bridge A, Poux S, Redaschi N, Aimo L, Argoud-Puy G, Auchincloss A, Axelsen K, Bansal P, Baratin D, Blatter MC, Boeckmann B, Bolleman J, Boutet E, Breuza L, Casal-Casas C, de Castro E, Coudert E, Cuche B, Doche M, Dornevil D, Duvaud S, Estreicher A, Famiglietti L, Feuermann M, Gasteiger E, Gehant S, Gerritsen V, Gos A, Gruaz-Gumowski N, Hinz U, Hulo C, Jungo F, Keller G, Lara V, Lemercier P, Lieberherr D, Lombardot T, Martin X, Masson P, Morgat A, Neto T, Nouspikel N, Paesano S, Pedruzzi I, Pilbout S, Pozzato M, Pruess M, Rivoire C, Roechert B, Schneider M, Sigrist C, Sonesson K, Staehli S, Stutz A, Sundaram S, Tognolli M, Verbregue L, Veuthey AL, Wu CH, Arighi CN, Arminski L, Chen C, Chen Y, Garavelli JS, Huang H, Laiho K, McGarvey P, Natale DA, Suzek BE, Vinayaka C, Wang Q, Wang Y, Yeh LS, Yerramalla MS, Zhang J., Nucleic Acids Res. 43(Database issue), 2014
PMID: 25348405
The metagenome of a biogas-producing microbial community of a production-scale biogas plant fermenter analysed by the 454-pyrosequencing technology.
Schluter A, Bekel T, Diaz NN, Dondrup M, Eichenlaub R, Gartemann KH, Krahn I, Krause L, Kromeke H, Kruse O, Mussgnug JH, Neuweger H, Niehaus K, Puhler A, Runte KJ, Szczepanowski R, Tauch A, Tilker A, Viehover P, Goesmann A., J. Biotechnol. 136(1-2), 2008
PMID: 18597880
Schluter A, Bekel T, Diaz NN, Dondrup M, Eichenlaub R, Gartemann KH, Krahn I, Krause L, Kromeke H, Kruse O, Mussgnug JH, Neuweger H, Niehaus K, Puhler A, Runte KJ, Szczepanowski R, Tauch A, Tilker A, Viehover P, Goesmann A., J. Biotechnol. 136(1-2), 2008
PMID: 18597880
2016 update of the PRIDE database and its related tools.
Vizcaino JA, Csordas A, Del-Toro N, Dianes JA, Griss J, Lavidas I, Mayer G, Perez-Riverol Y, Reisinger F, Ternent T, Xu QW, Wang R, Hermjakob H., Nucleic Acids Res. 44(22), 2016
PMID: 27683222
Vizcaino JA, Csordas A, Del-Toro N, Dianes JA, Griss J, Lavidas I, Mayer G, Perez-Riverol Y, Reisinger F, Ternent T, Xu QW, Wang R, Hermjakob H., Nucleic Acids Res. 44(22), 2016
PMID: 27683222
Basic local alignment search tool.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ., J. Mol. Biol. 215(3), 1990
PMID: 2231712
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ., J. Mol. Biol. 215(3), 1990
PMID: 2231712
UniProtJAPI: a remote API for accessing UniProt data.
Patient S, Wieser D, Kleen M, Kretschmann E, Jesus Martin M, Apweiler R., Bioinformatics 24(10), 2008
PMID: 18390879
Patient S, Wieser D, Kleen M, Kretschmann E, Jesus Martin M, Apweiler R., Bioinformatics 24(10), 2008
PMID: 18390879
AUTHOR UNKNOWN, 0
Interactive metagenomic visualization in a Web browser.
Ondov BD, Bergman NH, Phillippy AM., BMC Bioinformatics 12(), 2011
PMID: 21961884
Ondov BD, Bergman NH, Phillippy AM., BMC Bioinformatics 12(), 2011
PMID: 21961884
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