Ortseifen, V.V.OrtseifenStolze, Y.Y.StolzeMaus, I.I.MausSczyrba, A.A.SczyrbaBremges, A.A.BremgesAlbaum, S.P.S.P.AlbaumJaenicke, S.S.JaenickeFracowiak, J.J.FracowiakPühler, A.A.PühlerSchlüter, A.A.Schlüter2022-03-052022-03-052016https://publica.fraunhofer.de/handle/publica/24607910.1016/j.jbiotec.2016.06.014To 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.en660journal article