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

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논문

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

학술지

Journal of biotechnology

저자명

Ortseifen, Vera; Stolze, Yvonne; Maus, Irena; Sczyrba, Alexander; Bremges, Andreas; Albaum, Stefan P.; Jaenicke, Sebastian; Fracowiak, Jochen; Pü hler, Alfred; Schlü ter, Andreas

초록

<P><B>Abstract</B></P> <P>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&rsquo;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 <I>Methanoculleus</I> sp. contig encoding 16 methanogenesis-related gene products, three of which were also detected as abundant proteins within the community&rsquo;s metaproteome. Thus, metagenome contigs provide additional information on the genetic environment of identified abundant proteins.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Protein identification results revealed the highest identification rate for the corresponding biogas metaproteome database. </LI> <LI> Identified proteins could be assigned to the pathways involved in methanogenesis, transport, carbon metabolism and miscellaneous. </LI> <LI> Integrated metagenome/-proteome approach enabled the examination of genetic-context information on assembled metagenome contigs. </LI> </UL> </P>

발행연도

2016

발행기관

Elsevier

라이선스

publisher-specific-oa

ISSN

0168-1656

ISSN

1873-4863

231

페이지

pp.268-279

주제어

Biogas microbial community; Integrated metagenome/-proteome study; Database impact on protein identification; Contig context information; Taxonomic profile

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1 2023-12-11

논문; 2016-08-01

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