Journal article
Authors list: Ortseifen, Vera; Stolze, Yvonne; Maus, Irena; Sczyrba, Alexander; Bremges, Andreas; Albaum, Stefan P.; Jaenicke, Sebastian; Fracowiak, Jochen; Puehler, Alfred; Schlueter, Andreas
Publication year: 2016
Pages: 268-279
Journal: Journal of Biotechnology
Volume number: 231
ISSN: 0168-1656
eISSN: 1873-4863
Open access status: Bronze
DOI Link: https://doi.org/10.1016/j.jbiotec.2016.06.014
Publisher: Elsevier
Abstract:
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. (C) 2016 Elsevier B.V. All rights reserved.
Citation Styles
Harvard Citation style: Ortseifen, V., Stolze, Y., Maus, I., Sczyrba, A., Bremges, A., Albaum, S., et al. (2016) An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant, Journal of Biotechnology, 231, pp. 268-279. https://doi.org/10.1016/j.jbiotec.2016.06.014
APA Citation style: Ortseifen, V., Stolze, Y., Maus, I., Sczyrba, A., Bremges, A., Albaum, S., Jaenicke, S., Fracowiak, J., Puehler, A., & Schlueter, A. (2016). An integrated metagenome and -proteome analysis of the microbial community residing in a biogas production plant. Journal of Biotechnology. 231, 268-279. https://doi.org/10.1016/j.jbiotec.2016.06.014
Keywords
Biogas microbial community; Contig context information; Database impact on protein identification; EXTRACELLULAR PROTEOMES; HISTIDINE KINASES; Integrated metagenome/-proteome study; METAPROTEOME ANALYSIS; REACTOR; STIMULUS PERCEPTION; Taxonomic profile