An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant

Ortseifen V, Stolze Y, Maus I, Sczyrba A, Bremges A, Albaum S, Jaenicke S, Fracowiak J, Pühler A, Schlüter A (2016)
Journal of Biotechnology 231: 268-279.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract / Bemerkung
To study the metaproteome of a biogas-producing microbial community, fermentation samples were taken from an agricultural biogas plant for microbial cell and protein extraction and corresponding metagenome analyses. Based on metagenome sequence data, taxonomic community profiling was performed to elucidate the composition of bacterial and archaeal sub-communities. The community's cytosolic metaproteome was represented in a 2D-PAGE approach. Metaproteome databases for protein identification were compiled based on the assembled metagenome sequence dataset for the biogas plant analyzed and non-corresponding biogas metagenomes. Protein identification results revealed that the corresponding biogas protein database facilitated the highest identification rate followed by other biogas-specific databases, whereas common public databases yielded insufficient identification rates. Proteins of the biogas microbiome identified as highly abundant were assigned to the pathways involved in methanogenesis, transport and carbon metabolism. Moreover, the integrated metagenome/-proteome approach enabled the examination of genetic-context information for genes encoding identified proteins by studying neighboring genes on the corresponding contig. Exemplarily, this approach led to the identification of a Methanoculleus sp. contig encoding 16 methanogenesis-related gene products, three of which were also detected as abundant proteins within the community's metaproteome. Thus, metagenome contigs provide additional information on the genetic environment of identified abundant proteins. Copyright 2016 Elsevier B.V. All rights reserved.
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Zeitschriftentitel
Journal of Biotechnology
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231
Seite
268-279
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Ortseifen V, Stolze Y, Maus I, et al. An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology. 2016;231:268-279.
Ortseifen, V., Stolze, Y., Maus, I., Sczyrba, A., Bremges, A., Albaum, S., Jaenicke, S., et al. (2016). An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology, 231, 268-279. doi:10.1016/j.jbiotec.2016.06.014
Ortseifen, V., Stolze, Y., Maus, I., Sczyrba, A., Bremges, A., Albaum, S., Jaenicke, S., Fracowiak, J., Pühler, A., and Schlüter, A. (2016). An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology 231, 268-279.
Ortseifen, V., et al., 2016. An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology, 231, p 268-279.
V. Ortseifen, et al., “An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant”, Journal of Biotechnology, vol. 231, 2016, pp. 268-279.
Ortseifen, V., Stolze, Y., Maus, I., Sczyrba, A., Bremges, A., Albaum, S., Jaenicke, S., Fracowiak, J., Pühler, A., Schlüter, A.: An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology. 231, 268-279 (2016).
Ortseifen, Vera, Stolze, Yvonne, Maus, Irena, Sczyrba, Alexander, Bremges, Andreas, Albaum, Stefan, Jaenicke, Sebastian, Fracowiak, Jochen, Pühler, Alfred, and Schlüter, Andreas. “An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant”. Journal of Biotechnology 231 (2016): 268-279.

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Genomics and prevalence of bacterial and archaeal isolates from biogas-producing microbiomes.
Maus I, Bremges A, Stolze Y, Hahnke S, Cibis KG, Koeck DE, Kim YS, Kreubel J, Hassa J, Wibberg D, Weimann A, Off S, Stantscheff R, Zverlov VV, Schwarz WH, König H, Liebl W, Scherer P, McHardy AC, Sczyrba A, Klocke M, Pühler A, Schlüter A., Biotechnol Biofuels 10(), 2017
PMID: 29158776

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