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      What Makes a Bacterial Species Pathogenic?:Comparative Genomic Analysis of the Genus Leptospira

      research-article
      1 , * , 2 , 3 , 4 , 3 , 5 , 2 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 1 , 13 , 3 , 5 , 14 , 11 , 12 , 7 , 15 , 16 , 17 , 1 , 15 , 18 , 19 , 20 , 21 , 3 , 5 , 22 , 22 , 2 , 20 , 23 , *
      PLoS Neglected Tropical Diseases
      Public Library of Science
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          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

          Leptospirosis, caused by spirochetes of the genus Leptospira, is a globally widespread, neglected and emerging zoonotic disease. While whole genome analysis of individual pathogenic, intermediately pathogenic and saprophytic Leptospira species has been reported, comprehensive cross-species genomic comparison of all known species of infectious and non-infectious Leptospira, with the goal of identifying genes related to pathogenesis and mammalian host adaptation, remains a key gap in the field. Infectious Leptospira, comprised of pathogenic and intermediately pathogenic Leptospira, evolutionarily diverged from non-infectious, saprophytic Leptospira, as demonstrated by the following computational biology analyses: 1) the definitive taxonomy and evolutionary relatedness among all known Leptospira species; 2) genomically-predicted metabolic reconstructions that indicate novel adaptation of infectious Leptospira to mammals, including sialic acid biosynthesis, pathogen-specific porphyrin metabolism and the first-time demonstration of cobalamin (B12) autotrophy as a bacterial virulence factor; 3) CRISPR/Cas systems demonstrated only to be present in pathogenic Leptospira, suggesting a potential mechanism for this clade’s refractoriness to gene targeting; 4) finding Leptospira pathogen-specific specialized protein secretion systems; 5) novel virulence-related genes/gene families such as the Virulence Modifying (VM) (PF07598 paralogs) proteins and pathogen-specific adhesins; 6) discovery of novel, pathogen-specific protein modification and secretion mechanisms including unique lipoprotein signal peptide motifs, Sec-independent twin arginine protein secretion motifs, and the absence of certain canonical signal recognition particle proteins from all Leptospira; and 7) and demonstration of infectious Leptospira-specific signal-responsive gene expression, motility and chemotaxis systems. By identifying large scale changes in infectious (pathogenic and intermediately pathogenic) vs. non-infectious Leptospira, this work provides new insights into the evolution of a genus of bacterial pathogens. This work will be a comprehensive roadmap for understanding leptospirosis pathogenesis. More generally, it provides new insights into mechanisms by which bacterial pathogens adapt to mammalian hosts.

          Author Summary

          Leptospirosis is an emerging and re-emerging globally important zoonotic infectious disease caused by spirochetes of the genus Leptospira. This genus is complex, with members that cause lethal human disease, yet mechanisms that underlie pathogenesis remain obscure. Leptospira species are divided into those that are infectious for mammals, and those that are non-infectious environmental saprophytes. Based on biological characteristics and molecular phylogeny, infectious Leptospira are further divided into pathogenic and intermediately pathogenic members. The pan-genus genomic analysis of 20 Leptospira species reported here shows the evolutionary relationship of the different Leptospira clades, and various genetic factors related to virulence and pathogenesis. Infectious Leptospira show key adaptations to mammals, for example sialic acid biosynthesis, pathogen-specific porphyrin metabolism, and the observation that pathogenic Leptospira are vitamin B12 autotrophs, able to synthesize it from a simple amino acid precursor, L-glutamine. A large novel protein family of unknown function—the Virulence Modifying proteins—is found uniquely in pathogenic Leptospira. Similarly, the CRISPR/Cas system was only found in pathogenic Leptospira. A comparative genomic analysis of a complex bacterial genus allowed us to identify large-scale changes that provides new insights into general processes by which bacteria evolve to become pathogenic.

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          Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

          The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
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            Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison

            The pragmatic species concept for Bacteria and Archaea is ultimately based on DNA-DNA hybridization (DDH). While enabling the taxonomist, in principle, to obtain an estimate of the overall similarity between the genomes of two strains, this technique is tedious and error-prone and cannot be used to incrementally build up a comparative database. Recent technological progress in the area of genome sequencing calls for bioinformatics methods to replace the wet-lab DDH by in-silico genome-to-genome comparison. Here we investigate state-of-the-art methods for inferring whole-genome distances in their ability to mimic DDH. Algorithms to efficiently determine high-scoring segment pairs or maximally unique matches perform well as a basis of inferring intergenomic distances. The examined distance functions, which are able to cope with heavily reduced genomes and repetitive sequence regions, outperform previously described ones regarding the correlation with and error ratios in emulating DDH. Simulation of incompletely sequenced genomes indicates that some distance formulas are very robust against missing fractions of genomic information. Digitally derived genome-to-genome distances show a better correlation with 16S rRNA gene sequence distances than DDH values. The future perspectives of genome-informed taxonomy are discussed, and the investigated methods are made available as a web service for genome-based species delineation.
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              COBRApy: COnstraints-Based Reconstruction and Analysis for Python

              Background COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. Due to the successes with metabolism, there is an increasing effort to apply COBRA methods to reconstruct and analyze integrated models of cellular processes. The COBRA Toolbox for MATLAB is a leading software package for genome-scale analysis of metabolism; however, it was not designed to elegantly capture the complexity inherent in integrated biological networks and lacks an integration framework for the multiomics data used in systems biology. The openCOBRA Project is a community effort to promote constraints-based research through the distribution of freely available software. Results Here, we describe COBRA for Python (COBRApy), a Python package that provides support for basic COBRA methods. COBRApy is designed in an object-oriented fashion that facilitates the representation of the complex biological processes of metabolism and gene expression. COBRApy does not require MATLAB to function; however, it includes an interface to the COBRA Toolbox for MATLAB to facilitate use of legacy codes. For improved performance, COBRApy includes parallel processing support for computationally intensive processes. Conclusion COBRApy is an object-oriented framework designed to meet the computational challenges associated with the next generation of stoichiometric constraint-based models and high-density omics data sets. Availability http://opencobra.sourceforge.net/
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                18 February 2016
                February 2016
                : 10
                : 2
                : e0004403
                Affiliations
                [1 ]J. Craig Venter Institute, Rockville, Maryland, United States of America
                [2 ]Division of Infectious Diseases, Department of Medicine, University of California San Diego School of Medicine, La Jolla, California, United States of America
                [3 ]Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America
                [4 ]Australian Research Council Centre of Excellence in Structural and Functional Microbial Genomics, Department of Microbiology, Monash University, Clayton, Australia
                [5 ]Centro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz/MS, Salvador, Bahia, Brazil
                [6 ]Victorian Bioinformatics Consortium, Monash University, Clayton, Victoria, Australia
                [7 ]Institut Pasteur de Montevideo, Laboratory of Molecular and Structural Microbiology, Montevideo, Uruguay
                [8 ]Institut Pasteur, Department of Structural Biology and Chemistry, Paris, France
                [9 ]Department of Population Medicine & Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
                [10 ]Centers for Disease Control and Prevention (DHHS, CDC, OID, NCEZID, DHCPP, BSPB), Atlanta, Georgia, United States of America
                [11 ]VA Greater Los Angeles Healthcare System, Los Angeles, California, United States of America
                [12 ]David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
                [13 ]WHO/FAO/OIE and National Collaborating Centre for Reference and Research on Leptospirosis, KIT Biomedical Research, Royal Tropical Institute (KIT), Amsterdam, The Netherlands
                [14 ]Government of Saskatchewan, Disease Control Laboratory Regina, Canada
                [15 ]Department of Bioengineering, University of California, San Diego, La Jolla, California, United States of America
                [16 ]Centro de Biotecnologia, Instituto Butantan, São Paulo, SP, Brazil
                [17 ]Programa Interunidades em Biotecnologia, Instituto de Ciências Biomédicas, USP, São Paulo, SP, Brazil
                [18 ]Department of Medicine, University of Cambridge, Cambridge, United Kingdom
                [19 ]Institut Pasteur, Biology of Spirochetes Unit, National Reference Centre and WHO Collaborating Center for Leptospirosis, Paris, France
                [20 ]Instituto de Medicina Tropical Alexander von Humboldt; Facultad de Medicina Alberto Hurtado, Universidd Peruana Cayetano Heredia, Lima, Peru
                [21 ]Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
                [22 ]Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, Indiana, United States of America
                [23 ]Instituto de Medicina “Alexander von Humboldt,” Universidad Peruana Cayetano Heredia, Lima, Peru
                University of Tennessee, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: DEF MAM JMV. Performed the experiments: DAF MAM. Analyzed the data: DEF MAM HA BA LAS DEB DB AB YFC RLG DAH DHH RH AIK PNL JM AEM JMM ALTN KEN BP SJP MP JNR JT EAW XFY JJZ JMV. Contributed reagents/materials/analysis tools: DEF MAM HA BA LAS DEB DB AB YFC RLG DAH DHH RH AIK PNL JM AEM JMM ALTN KEN BP SJP MP JNR JT EAW XFY JJZ JMV. Wrote the paper: DEF MAM HA BA LAS DEB DB AB YFC RLG DAH DHH RH AIK PNL JM AEM JMM ALTN KEN BP SJP MP JNR JT EAW XFY JJZ JMV.

                [¤]

                Current address: National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America

                Article
                PNTD-D-15-01081
                10.1371/journal.pntd.0004403
                4758666
                26890609
                ce7b0825-326d-4c2a-82b7-488bfa4e9c8f

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 19 June 2015
                : 3 January 2016
                Page count
                Figures: 7, Tables: 9, Pages: 57
                Funding
                This project has been funded in whole or part with federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services under Contract Number HHSN272200900007C. This work was also supported in part by the following U.S. Public Health Service grants: U19AI115658 (JMV), R01AI108276 (JMV), D43TW007120 (JMV), K24AI068903 (JMV), R21AI115273 (MAM), R01AI052473 (AIK), U01AI088752 (AIK), R25TW009338 (AIK), R01TW009504 (AIK), and R01AI121207 (AIK). In addition, support to the A. Buschiazzo team was provided in part by grants FSA_1_2013_1_12557 and ALI_1_2014_1_4982 from ANII (Uruguay). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Bacteria
                Leptospira
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                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Leptospira
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Leptospira
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
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                Pathology and Laboratory Medicine
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                Leptospira
                Leptospira Interrogans
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Leptospira
                Leptospira Interrogans
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
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                Biology and Life Sciences
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                Genetics
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                Organisms
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                Molecular Biology
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                Research and Analysis Methods
                Molecular Biology Techniques
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                Sequence Analysis
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                Custom metadata
                All primary sequence data are available on GenBank and the accession numbers are located in Table 1 of the manuscript.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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