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      Genomic contextualisation of ancient DNA molecular data from an Argentinian fifth pandemic Vibrio cholerae infection

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          Abstract

          Specific lineages of serogroup O1 Vibrio cholerae are notorious for causing cholera pandemics, of which there have been seven since the 1800s. Much is known about the sixth pandemic (1899–1923) and the ongoing seventh pandemic (1961–present), but we know very little about the bacteriology of pandemics 1 to 5. Moreover, although we are learning about the contribution of non-O1 non-pandemic V. cholerae to cholera dynamics during the current pandemic, we know almost nothing about their role in the past. A recent ancient DNA study has presented what may be the first molecular evidence of a V. cholerae infection from the fifth cholera pandemic period (1886–1887 AD) in Argentina. Here, we place the molecular evidence from that study into the genomic context of non-pandemic V. cholerae from Latin America and elsewhere, and show that a gene fragment amplified from ancient DNA is most similar to that of V. cholerae from the Americas, and from Argentina. Our results corroborate and reinforce the findings of the original study, and collectively suggest that even in the 1880s, non-pandemic V. cholerae local to the Americas may have caused sporadic infections in Argentina, just as we know this to have happened during the seventh pandemic in Latin America.

          Most cited references17

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

            PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the original publication (Guindon S., Gascuel O. 2003. A simple, fast and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696-704), PhyML has been widely used (>2500 citations in ISI Web of Science) because of its simplicity and a fair compromise between accuracy and speed. In the meantime, research around PhyML has continued, and this article describes the new algorithms and methods implemented in the program. First, we introduce a new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves. The parsimony criterion is used here to filter out the least promising topology modifications with respect to the likelihood function. The analysis of a large collection of real nucleotide and amino acid data sets of various sizes demonstrates the good performance of this method. Second, we describe a new test to assess the support of the data for internal branches of a phylogeny. This approach extends the recently proposed approximate likelihood-ratio test and relies on a nonparametric, Shimodaira-Hasegawa-like procedure. A detailed analysis of real alignments sheds light on the links between this new approach and the more classical nonparametric bootstrap method. Overall, our tests show that the last version (3.0) of PhyML is fast, accurate, stable, and ready to use. A Web server and binary files are available from http://www.atgc-montpellier.fr/phyml/.
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              Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees

              Interactive Tree Of Life (http://itol.embl.de) is a web-based tool for the display, manipulation and annotation of phylogenetic trees. It is freely available and open to everyone. The current version was completely redesigned and rewritten, utilizing current web technologies for speedy and streamlined processing. Numerous new features were introduced and several new data types are now supported. Trees with up to 100,000 leaves can now be efficiently displayed. Full interactive control over precise positioning of various annotation features and an unlimited number of datasets allow the easy creation of complex tree visualizations. iTOL 3 is the first tool which supports direct visualization of the recently proposed phylogenetic placements format. Finally, iTOL's account system has been redesigned to simplify the management of trees in user-defined workspaces and projects, as it is heavily used and currently handles already more than 500,000 trees from more than 10,000 individual users.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2021
                15 June 2021
                15 June 2021
                : 7
                : 6
                : 000580
                Affiliations
                [ 1]departmentWellcome Sanger Institute , Wellcome Genome Campus , Hinxton, CB10 1SA, UK
                [ 2]departmentChurchill College , Storey’s Way , Cambridge, CB3 0DS, UK
                [ 3]departmentLondon School of Hygiene and Tropical Medicine , Keppel St., Bloomsbury , London, WC1E 7HT, UK
                [ 4]departmentInstituto Nacional de Enfermedades Infecciosas , INEI-ANLIS “Dr. Carlos G. Malbrán” , Buenos Aires, Argentina
                Author notes
                *Correspondence: Nicholas R. Thomson, nrt@ 123456sanger.ac.uk
                *Correspondence: Josefina Campos, jcampos@ 123456anlis.gov.ar
                [†]

                These authors share senior authorship.

                Author information
                https://orcid.org/0000-0001-7064-6163
                https://orcid.org/0000-0002-4432-8505
                https://orcid.org/0000-0003-1409-0441
                Article
                000580
                10.1099/mgen.0.000580
                8461468
                34128784
                c70b5012-62ca-4cd7-adc4-48c2dcc44f29
                © 2021 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 12 February 2021
                : 12 April 2021
                Funding
                Funded by: Ministerio de Salud de la Nación
                Award Recipient : JosefinaCampos
                Funded by: Wellcome Trust (GB)
                Award ID: 206194
                Award Recipient : NicholasR. Thomson
                Funded by: Wellcome Trust (GB)
                Award ID: 206194
                Award Recipient : MatthewJ Dorman
                Categories
                Short Communications
                Pathogens and Epidemiology
                Custom metadata
                0

                vibrio cholerae,cholera,fifth pandemic,ancient dna,adna,vcr
                vibrio cholerae, cholera, fifth pandemic, ancient dna, adna, vcr

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