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This article is part of the supplement: Proceedings of the International Conference of the Brazilian Association for Bioinformatics and Computational Biology (X-meeting 2011)

Open Access Research

The Corynebacterium pseudotuberculosis in silico predicted pan-exoproteome

Anderson R Santos1, Adriana Carneiro2, Alfonso Gala-García1, Anne Pinto1, Debmalya Barh3, Eudes Barbosa1, Flávia Aburjaile1, Fernanda Dorella1, Flávia Rocha1, Luis Guimarães1, Meritxell Zurita-Turk1, Rommel Ramos2, Sintia Almeida1, Siomar Soares1, Ulisses Pereira1, Vinícius C Abreu1, Artur Silva2, Anderson Miyoshi1 and Vasco Azevedo1*

Author Affiliations

1 Molecular and Celular Genetics Laboratory, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

2 DNA Polimorfism Laboratory, Universidade Federal do Pará, Campus do Guamá - Belém, PA, Brazil

3 Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur, West Bengal, India

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BMC Genomics 2012, 13(Suppl 5):S6  doi:10.1186/1471-2164-13-S5-S6

Published: 19 October 2012

Abstract

Background

Pan-genomic studies aim, for instance, at defining the core, dispensable and unique genes within a species. A pan-genomics study for vaccine design tries to assess the best candidates for a vaccine against a specific pathogen. In this context, rather than studying genes predicted to be exported in a single genome, with pan-genomics it is possible to study genes present in different strains within the same species, such as virulence factors. The target organism of this pan-genomic work here presented is Corynebacterium pseudotuberculosis, the etiologic agent of caseous lymphadenitis (CLA) in goat and sheep, which causes significant economic losses in those herds around the world. Currently, only a few antigens against CLA are known as being the basis of commercial and still ineffective vaccines. In this regard, the here presented work analyses, in silico, five C. pseudotuberculosis genomes and gathers data to predict common exported proteins in all five genomes. These candidates were also compared to two recent C. pseudotuberculosis in vitro exoproteome results.

Results

The complete genome of five C. pseudotuberculosis strains (1002, C231, I19, FRC41 and PAT10) were submitted to pan-genomics analysis, yielding 306, 59 and 12 gene sets, respectively, representing the core, dispensable and unique in silico predicted exported pan-genomes. These sets bear 150 genes classified as secreted (SEC) and 227 as potentially surface exposed (PSE). Our findings suggest that the main C. pseudotuberculosis in vitro exoproteome could be greater, appended by a fraction of the 35 proteins formerly predicted as making part of the variant in vitro exoproteome. These genomes were manually curated for correct methionine initiation and redeposited with a total of 1885 homogenized genes.

Conclusions

The in silico prediction of exported proteins has allowed to define a list of putative vaccine candidate genes present in all five complete C. pseudotuberculosis genomes. Moreover, it has also been possible to define the in silico predicted dispensable and unique C. pseudotuberculosis exported proteins. These results provide in silico evidence to further guide experiments in the areas of vaccines, diagnosis and drugs. The work here presented is the first whole C. pseudotuberculosis in silico predicted pan-exoproteome completed till today.