Insights into the physiology of Methylotenera mobilis as revealed by metagenome-based shotgun proteomic analysis
Author(s) -
Gundula Bosch,
Tiansong Wang,
Ekaterina Latypova,
Marina Kalyuzhnaya,
Murray Hackett,
Ludmila Chistoserdova
Publication year - 2009
Publication title -
microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 35
eISSN - 1465-2080
pISSN - 1350-0872
DOI - 10.1099/mic.0.024968-0
Subject(s) - metagenomics , proteome , shotgun sequencing , biology , computational biology , shotgun , shotgun proteomics , genome , proteomics , whole genome sequencing , bioinformatics , genetics , gene
While the shotgun proteomics approach is gaining momentum in understanding microbial physiology, it remains limited by the paucity of high-quality genomic data, especially when it comes to poorly characterized newly identified phyla. At the same time, large-scale metagenomic sequencing projects produce datasets representing genomes of a variety of environmental microbes, although with lower sequence coverage and sequence quality. In this work we tested the utility of a metagenomic dataset enriched in sequences of environmental strains of Methylotenera mobilis, to assess the protein profile of a laboratory-cultivated strain, M. mobilis JLW8, as a proof of principle. We demonstrate that a large portion of the proteome predicted from the metagenomic sequence (approx. 20 %) could be identified with high confidence (three or more peptide sequences), thus gaining insights into the physiology of this bacterium, which represents a new genus within the family Methylophilaceae.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom