67
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dissecting the bacterial type VI secretion system by a genome wide in silico analysis: what can be learned from available microbial genomic resources?

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The availability of hundreds of bacterial genomes allowed a comparative genomic study of the Type VI Secretion System (T6SS), recently discovered as being involved in pathogenesis. By combining comparative and phylogenetic approaches using more than 500 prokaryotic genomes, we characterized the global T6SS genetic structure in terms of conservation, evolution and genomic organization.

          Results

          This genome wide analysis allowed the identification of a set of 13 proteins constituting the T6SS protein core and a set of conserved accessory proteins. 176 T6SS loci (encompassing 92 different bacteria) were identified and their comparison revealed that T6SS-encoded genes have a specific conserved genetic organization. Phylogenetic reconstruction based on the core genes showed that lateral transfer of the T6SS is probably its major way of dissemination among pathogenic and non-pathogenic bacteria. Furthermore, the sequence analysis of the VgrG proteins, proposed to be exported in a T6SS-dependent way, confirmed that some C-terminal regions possess domains showing similarities with adhesins or proteins with enzymatic functions.

          Conclusion

          The core of T6SS is composed of 13 proteins, conserved in both pathogenic and non-pathogenic bacteria. Subclasses of T6SS differ in regulatory and accessory protein content suggesting that T6SS has evolved to adapt to various microenvironments and specialized functions. Based on these results, new functional hypotheses concerning the assembly and function of T6SS proteins are proposed.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: not found
          • Article: not found

          Comparison of phylogenetic trees

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              CDD: a conserved domain database for interactive domain family analysis

              The conserved domain database (CDD) is part of NCBI's Entrez database system and serves as a primary resource for the annotation of conserved domain footprints on protein sequences in Entrez. Entrez's global query interface can be accessed at and will search CDD and many other databases. Domain annotation for proteins in Entrez has been pre-computed and is readily available in the form of ‘Conserved Domain’ links. Novel protein sequences can be scanned against CDD using the CD-Search service; this service searches databases of CDD-derived profile models with protein sequence queries using BLAST heuristics, at . Protein query sequences submitted to NCBI's protein BLAST search service are scanned for conserved domain signatures by default. The CDD collection contains models imported from Pfam, SMART and COG, as well as domain models curated at NCBI. NCBI curated models are organized into hierarchies of domains related by common descent. Here we report on the status of the curation effort and present a novel helper application, CDTree, which enables users of the CDD resource to examine curated hierarchies. More importantly, CDD and CDTree used in concert, serve as a powerful tool in protein classification, as they allow users to analyze protein sequences in the context of domain family hierarchies.
                Bookmark

                Author and article information

                Journal
                BMC Genomics
                BMC Genomics
                BioMed Central
                1471-2164
                2009
                12 March 2009
                : 10
                : 104
                Affiliations
                [1 ]CEA, iRTSV, Laboratoire Biologie, Informatique et Mathématiques, F-38054 Grenoble, France
                [2 ]Université de Toulouse, UPS, Laboratoire de Microbiologie et Génétique Moléculaires, F-31000 Toulouse, France
                [3 ]Centre National de la Recherche Scientifique, LMGM, F-31000 Toulouse, France
                [4 ]CEA, iRTSV, Laboratoire Biochimie et Biophysique des Systèmes Intégrés, F-38054 Grenoble, France
                [5 ]UMR5092, Centre National de la Recherche Scientifique/CEA/Université Joseph Fourier, F-38000 Grenoble, France
                Article
                1471-2164-10-104
                10.1186/1471-2164-10-104
                2660368
                19284603
                fad694c9-db65-41e6-bf64-63b59c0145d4
                Copyright © 2009 Boyer et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 November 2008
                : 12 March 2009
                Categories
                Research Article

                Genetics
                Genetics

                Comments

                Comment on this article