An Alignment-Free 'Metapeptide' Strategy for Metaproteomic Characterization of Microbiome Samples Using Shotgun Metagenomic Sequencing
| Autor: | Molly P. Mikan, William Stafford Noble, H. Rodger Harvey, Damon May, Emma Timmins-Schiffman, Brook L. Nunn, Elhanan Borenstein |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Proteomics
0301 basic medicine Aquatic Organisms Shotgun Computational biology Biology Tandem mass spectrometry Biochemistry Genome Article Specimen Handling Microbiology 03 medical and health sciences Tandem Mass Spectrometry Microbiome Databases Protein 030102 biochemistry & molecular biology Microbiota Biodiversity Sequence Analysis DNA General Chemistry Phylogenetic diversity 030104 developmental biology Metagenomics Earth Microbiome Project Metaproteomics Peptides |
| Zdroj: | Journal of Proteome Research. 15:2697-2705 |
| ISSN: | 1535-3907 1535-3893 |
| DOI: | 10.1021/acs.jproteome.6b00239 |
| Popis: | In principle, tandem mass spectrometry can be used to detect and quantify the peptides present in a microbiome sample, enabling functional and taxonomic insight into microbiome metabolic activity. However, the phylogenetic diversity constituting a particular microbiome is often unknown, and many of the organisms present may not have assembled genomes. In ocean microbiome samples, with particularly diverse and uncultured bacterial communities, it is difficult to construct protein databases that contain the bulk of the peptides in the sample without losing detection sensitivity due to the overwhelming number of candidate peptides for each tandem mass spectrum. We describe a method for deriving "metapeptides" (short amino acid sequences that may be represented in multiple organisms) from shotgun metagenomic sequencing of microbiome samples. In two ocean microbiome samples, we constructed site-specific metapeptide databases to detect more than one and a half times as many peptides as by searching against predicted genes from an assembled metagenome and roughly three times as many peptides as by searching against the NCBI environmental proteome database. The increased peptide yield has the potential to enrich the taxonomic and functional characterization of sample metaproteomes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|