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      Genomic Investigation into Strain Heterogeneity and Pathogenic Potential of the Emerging Gastrointestinal Pathogen Campylobacter ureolyticus

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          Abstract

          The recent detection and isolation of C. ureolyticus from patients with diarrhoeal illness and inflammatory bowel diseases warrants further investigation into its role as an emerging pathogen of the human gastrointestinal tract. Regarding the pathogenic mechanisms employed by this species we provide the first whole genome analysis of two C. ureolyticus isolates including the type strain. Comparative analysis, subtractive hybridisation and gene ontology searches against other Campylobacter species identifies the high degree of heterogenicity between C. ureolyticus isolates, in addition to the identification of 106 putative virulence associated factors, 52 of which are predicted to be secreted. Such factors encompass each of the known virulence tactics of pathogenic Campylobacter spp. including adhesion and colonisation (CadF, PEB1, IcmF and FlpA), invasion ( ciaB and 16 virB-virD4 genes) and toxin production (S-layer RTX and ZOT). Herein, we provide the first virulence catalogue for C. ureolyticus, the components of which theoretically provide this emerging species with sufficient arsenal to establish pathology.

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          Most cited references107

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          The genome sequence of the food-borne pathogen Campylobacter jejuni reveals hypervariable sequences.

          Campylobacter jejuni, from the delta-epsilon group of proteobacteria, is a microaerophilic, Gram-negative, flagellate, spiral bacterium-properties it shares with the related gastric pathogen Helicobacter pylori. It is the leading cause of bacterial food-borne diarrhoeal disease throughout the world. In addition, infection with C. jejuni is the most frequent antecedent to a form of neuromuscular paralysis known as Guillain-Barré syndrome. Here we report the genome sequence of C. jejuni NCTC11168. C. jejuni has a circular chromosome of 1,641,481 base pairs (30.6% G+C) which is predicted to encode 1,654 proteins and 54 stable RNA species. The genome is unusual in that there are virtually no insertion sequences or phage-associated sequences and very few repeat sequences. One of the most striking findings in the genome was the presence of hypervariable sequences. These short homopolymeric runs of nucleotides were commonly found in genes encoding the biosynthesis or modification of surface structures, or in closely linked genes of unknown function. The apparently high rate of variation of these homopolymeric tracts may be important in the survival strategy of C. jejuni.
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            Bacterial adhesion and entry into host cells.

            Successful establishment of infection by bacterial pathogens requires adhesion to host cells, colonization of tissues, and in certain cases, cellular invasion-followed by intracellular multiplication, dissemination to other tissues, or persistence. Bacteria use monomeric adhesins/invasins or highly sophisticated macromolecular machines such as type III secretion systems and retractile type IV pili to establish a complex host/pathogen molecular crosstalk that leads to subversion of cellular functions and establishment of disease.
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              Non-classical protein secretion in bacteria

              Background We present an overview of bacterial non-classical secretion and a prediction method for identification of proteins following signal peptide independent secretion pathways. We have compiled a list of proteins found extracellularly despite the absence of a signal peptide. Some of these proteins also have known roles in the cytoplasm, which means they could be so-called "moon-lightning" proteins having more than one function. Results A thorough literature search was conducted to compile a list of currently known bacterial non-classically secreted proteins. Pattern finding methods were applied to the sequences in order to identify putative signal sequences or motifs responsible for their secretion. We have found no signal or motif characteristic to any majority of the proteins in the compiled list of non-classically secreted proteins, and conclude that these proteins, indeed, seem to be secreted in a novel fashion. However, we also show that the apparently non-classically secreted proteins are still distinguished from cellular proteins by properties such as amino acid composition, secondary structure and disordered regions. Specifically, prediction of disorder reveals that bacterial secretory proteins are more structurally disordered than their cytoplasmic counterparts. Finally, artificial neural networks were used to construct protein feature based methods for identification of non-classically secreted proteins in both Gram-positive and Gram-negative bacteria. Conclusion We present a publicly available prediction method capable of discriminating between this group of proteins and other proteins, thus allowing for the identification of novel non-classically secreted proteins. We suggest candidates for non-classically secreted proteins in Escherichia coli and Bacillus subtilis. The prediction method is available online.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                30 August 2013
                : 8
                : 8
                : e71515
                Affiliations
                [1 ]Department of Biological Sciences, Cork Institute of Technology, Cork, Ireland
                [2 ]Department of Medical Microbiology, Cork University Hospital, Cork, Ireland
                Quuen's University Belfast, United Kingdom
                Author notes

                Competing Interests: The authors declare that while the project was part funded by a commercial company (Seosep Ltd.) this does not alter their adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: SB AL RDS. Performed the experiments: SB AL. Analyzed the data: SB AL RDS. Contributed reagents/materials/analysis tools: RDS BL DC. Wrote the paper: SB. Provided corrections of drafts: RDS AL BL DC.

                Article
                PONE-D-13-18459
                10.1371/journal.pone.0071515
                3758288
                24023611
                ba056b5e-6124-4404-a1a7-e6d50001077e
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 May 2013
                : 1 July 2013
                Page count
                Pages: 17
                Funding
                SB and AL are supported by scholarships from the Irish Research Council for Science, Engineering and Technology (RS/2009/1670 and RS/2012/219 respectively). RDS is an ESCMID Fellow and Coordinator of the EU FP7 IAPP project ClouDx-i. Funding was provided by Serosep Ltd, Ireland. The authors would like to thank Dr Nikos Kyrpides (DOE Joint Genome Institute) for his insightful discussion on the area. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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