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      Phylogeny of Vibrio vulnificus from the Analysis of the Core-Genome: Implications for Intra-Species Taxonomy

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          Abstract

          Vibrio vulnificus (Vv) is a multi-host pathogenic species currently subdivided into three biotypes (Bts). The three Bts are human-pathogens, but only Bt2 is also a fish-pathogen, an ability that is conferred by a transferable virulence-plasmid (pVvbt2). Here we present a phylogenomic analysis from the core genome of 80 Vv strains belonging to the three Bts recovered from a wide range of geographical and ecological sources. We have identified five well-supported phylogenetic groups or lineages (L). L1 comprises a mixture of clinical and environmental Bt1 strains, most of them involved in human clinical cases related to raw seafood ingestion. L2 is formed by a mixture of Bt1 and Bt2 strains from various sources, including diseased fish, and is related to the aquaculture industry. L3 is also linked to the aquaculture industry and includes Bt3 strains exclusively, mostly related to wound infections or secondary septicemia after farmed-fish handling. Lastly, L4 and L5 include a few strains of Bt1 associated with specific geographical areas. The phylogenetic trees for ChrI and II are not congruent to one another, which suggests that inter- and/or intra-chromosomal rearrangements have been produced along Vv evolution. Further, the phylogenetic trees for each chromosome and the virulence plasmid were also not congruent, which also suggests that pVvbt2 has been acquired independently by different clones, probably in fish farms. From all these clones, the one with zoonotic capabilities (Bt2-Serovar E) has successfully spread worldwide. Based on these results, we propose a new updated classification of the species based on phylogenetic lineages rather than on Bts, as well as the inclusion of all Bt2 strains in a pathovar with the particular ability to cause fish vibriosis, for which we suggest the name “piscis.”

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          Evaluation of the maximum likelihood estimate of the evolutionary tree topologies from DNA sequence data, and the branching order in hominoidea.

          A maximum likelihood method for inferring evolutionary trees from DNA sequence data was developed by Felsenstein (1981). In evaluating the extent to which the maximum likelihood tree is a significantly better representation of the true tree, it is important to estimate the variance of the difference between log likelihood of different tree topologies. Bootstrap resampling can be used for this purpose (Hasegawa et al. 1988; Hasegawa and Kishino 1989), but it imposes a great computation burden. To overcome this difficulty, we developed a new method for estimating the variance by expressing it explicitly. The method was applied to DNA sequence data from primates in order to evaluate the maximum likelihood branching order among Hominoidea. It was shown that, although the orangutan is convincingly placed as an outgroup of a human and African apes clade, the branching order among human, chimpanzee, and gorilla cannot be determined confidently from the DNA sequence data presently available when the evolutionary rate constancy is not assumed.
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            The ENZYME database in 2000.

            A Bairoch (2000)
            The ENZYME database is a repository of information related to the nomenclature of enzymes. In recent years it has became an indispensable resource for the development of metabolic databases. The current version contains information on 3705 enzymes. It is available through the ExPASy WWW server (http://www.expasy.ch/enzyme/ ).
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              Genomic islands: tools of bacterial horizontal gene transfer and evolution

              Bacterial genomes evolve through mutations, rearrangements or horizontal gene transfer. Besides the core genes encoding essential metabolic functions, bacterial genomes also harbour a number of accessory genes acquired by horizontal gene transfer that might be beneficial under certain environmental conditions. The horizontal gene transfer contributes to the diversification and adaptation of microorganisms, thus having an impact on the genome plasticity. A significant part of the horizontal gene transfer is or has been facilitated by genomic islands (GEIs). GEIs are discrete DNA segments, some of which are mobile and others which are not, or are no longer mobile, which differ among closely related strains. A number of GEIs are capable of integration into the chromosome of the host, excision, and transfer to a new host by transformation, conjugation or transduction. GEIs play a crucial role in the evolution of a broad spectrum of bacteria as they are involved in the dissemination of variable genes, including antibiotic resistance and virulence genes leading to generation of hospital ‘superbugs’, as well as catabolic genes leading to formation of new metabolic pathways. Depending on the composition of gene modules, the same type of GEIs can promote survival of pathogenic as well as environmental bacteria.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                05 January 2018
                2017
                : 8
                : 2613
                Affiliations
                [1] 1Estructura de Investigación Interdisciplinar en Biotecnología y Biomedicina BIOTECMED, University of Valencia , Valencia, Spain
                [2] 2Departmento de Microbiología y Ecología, Universidad de Valencia , Valencia, Spain
                [3] 3Biotechvana, Parc Cientific, Universitat de Valencia , Valencia, Spain
                [4] 4Joint Research Unit on Infection and Public Health FISABIO-Salud Pública and Universitat de Valencia-I2SysBio , Valencia, Spain
                [5] 5CIBEResp, National Network Center for Research on Epidemiology and Public Health, Instituto de Salud Carlos III , Valencia, Spain
                [6] 6Department of Biology and Biochemistry, University of Bath , Bath, United Kingdom
                [7] 7Centre for Environment, Fisheries and Aquaculture Science , Weymouth, United Kingdom
                [8] 8Department of Biological Sciences, University of North Carolina at Charlotte , Charlotte, NC, United States
                [9] 9Duke University Marine Lab , Beaufort, NC, United States
                [10] 10Faculty of Biotechnology and Food Engineering, Technion–Israel Institute of Technology , Haifa, Israel
                [11] 11Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte , Charlotte, NC, United States
                [12] 12Department of Molecular Genetics and Microbiology, University of Florida , Gainesville, FL, United States
                Author notes

                Edited by: Jesus L. Romalde, Universidade de Santiago de Compostela, Spain

                Reviewed by: Javier Pascual, German Collection of Microorganisms and Cell Cultures (LG), Germany; Karla Satchell, Feinberg School of Medicine, Northwestern University, United States

                *Correspondence: Carmen Amaro carmen.amaro@ 123456uv.es

                This article was submitted to Evolutionary and Genomic Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2017.02613
                5765525
                29358930
                a2d064c9-7329-4c1a-8e56-f8e8aaccbef1
                Copyright © 2018 Roig, González-Candelas, Sanjuán, Fouz, Feil, Llorens, Baker-Austin, Oliver, Danin-Poleg, Gibas, Kashi, Gulig, Morrison and Amaro.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 13 October 2017
                : 14 December 2017
                Page count
                Figures: 3, Tables: 6, Equations: 0, References: 80, Pages: 13, Words: 9492
                Funding
                Funded by: Ministerio de Economía y Competitividad 10.13039/501100003329
                Award ID: AGL2014-58933-P
                Award ID: CSD2009-00006
                Award ID: AGL2017-87723-P
                Funded by: Generalitat Valenciana 10.13039/501100003359
                Award ID: PROMETEO/2016/122
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                microbial evolution,pathogens,snp,vibrio vulnificus,core genome,virulence plasmid,pathovar,biotype

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