1. Experimental annotation of post-translational features and translated coding regions in the pathogen Salmonella Typhimurium
- Author
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Ansong, Charles, Tolić, Nikola, Purvine, Samuel O, Porwollik, Steffen, Jones, Marcus, Yoon, Hyunjin, Payne, Samuel H, Martin, Jessica L, Burnet, Meagan C, Monroe, Matthew E, Venepally, Pratap, Smith, Richard D, Peterson, Scott N, Heffron, Fred, McClelland, Michael, and Adkins, Joshua N
- Subjects
Microbiology ,Biological Sciences ,Bioinformatics and Computational Biology ,Biotechnology ,Digestive Diseases ,Genetics ,Emerging Infectious Diseases ,Vaccine Related ,Prevention ,Infectious Diseases ,Human Genome ,Foodborne Illness ,Biodefense ,Aetiology ,2.2 Factors relating to the physical environment ,Infection ,Chromatography ,Liquid ,Genome ,Bacterial ,Molecular Sequence Annotation ,Open Reading Frames ,Protein Processing ,Post-Translational ,Proteolysis ,Proteome ,Proteomics ,Salmonella typhimurium ,Tandem Mass Spectrometry ,gene annotation ,proteomics ,post-translational modifications ,Information and Computing Sciences ,Medical and Health Sciences ,Bioinformatics ,Biological sciences ,Biomedical and clinical sciences - Abstract
BackgroundComplete and accurate genome annotation is crucial for comprehensive and systematic studies of biological systems. However, determining protein-coding genes for most new genomes is almost completely performed by inference using computational predictions with significant documented error rates (> 15%). Furthermore, gene prediction programs provide no information on biologically important post-translational processing events critical for protein function.ResultsWe experimentally annotated the bacterial pathogen Salmonella Typhimurium 14028, using "shotgun" proteomics to accurately uncover the translational landscape and post-translational features. The data provide protein-level experimental validation for approximately half of the predicted protein-coding genes in Salmonella and suggest revisions to several genes that appear to have incorrectly assigned translational start sites, including a potential novel alternate start codon. Additionally, we uncovered 12 non-annotated genes missed by gene prediction programs, as well as evidence suggesting a role for one of these novel ORFs in Salmonella pathogenesis. We also characterized post-translational features in the Salmonella genome, including chemical modifications and proteolytic cleavages. We find that bacteria have a much larger and more complex repertoire of chemical modifications than previously thought including several novel modifications. Our in vivo proteolysis data identified more than 130 signal peptide and N-terminal methionine cleavage events critical for protein function.ConclusionThis work highlights several ways in which application of proteomics data can improve the quality of genome annotations to facilitate novel biological insights and provides a comprehensive proteome map of Salmonella as a resource for systems analysis.
- Published
- 2011