A straightforward and efficient analytical pipeline for metaproteome characterization

The massive characterization of host-associated and environmental microbial communities has represented a real breakthrough in the life sciences in the last years. In this context, metaproteomics specifically enables the transition from assessing the genomic potential to actually measuring the funct...

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Veröffentlicht in:Microbiome 2014-12, Vol.2 (1), p.49-49, Article 49
Hauptverfasser: Tanca, Alessandro, Palomba, Antonio, Pisanu, Salvatore, Deligios, Massimo, Fraumene, Cristina, Manghina, Valeria, Pagnozzi, Daniela, Addis, Maria Filippa, Uzzau, Sergio
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container_end_page 49
container_issue 1
container_start_page 49
container_title Microbiome
container_volume 2
creator Tanca, Alessandro
Palomba, Antonio
Pisanu, Salvatore
Deligios, Massimo
Fraumene, Cristina
Manghina, Valeria
Pagnozzi, Daniela
Addis, Maria Filippa
Uzzau, Sergio
description The massive characterization of host-associated and environmental microbial communities has represented a real breakthrough in the life sciences in the last years. In this context, metaproteomics specifically enables the transition from assessing the genomic potential to actually measuring the functional expression of a microbiome. However, significant research efforts are still required to develop analysis pipelines optimized for metaproteome characterization. This work presents an efficient analytical pipeline for shotgun metaproteomic analysis, combining bead-beating/freeze-thawing for protein extraction, filter-aided sample preparation for cleanup and digestion, and single-run liquid chromatography-tandem mass spectrometry for peptide separation and identification. The overall procedure is more time-effective and less labor-intensive when compared to state-of-the-art metaproteomic techniques. The pipeline was first evaluated using mock microbial mixtures containing different types of bacteria and yeasts, enabling the identification of up to over 15,000 non-redundant peptide sequences per run with a linear dynamic range from 10(4) to 10(8) colony-forming units. The pipeline was then applied to the mouse fecal metaproteome, leading to the overall identification of over 13,000 non-redundant microbial peptides with a false discovery rate of
doi_str_mv 10.1186/s40168-014-0049-2
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subjects Genetic aspects
Methodology
Microbiota (Symbiotic organisms)
title A straightforward and efficient analytical pipeline for metaproteome characterization
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