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      12/111phiA Prophage Domestication Is Associated with Autoaggregation and Increased Ability to Produce Biofilm in Streptococcus agalactiae

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          Abstract

          CC17 Streptococcus agalactiae carrying group-A prophages is increasingly responsible for neonatal infections. To investigate the impact of the genetic features of a group-A prophage, we first conducted an in silico analysis of the genome of 12/111phiA, a group-A prophage carried by a strain responsible for a bloodstream infection in a parturient. This revealed a Restriction Modification system, suggesting a prophage maintenance strategy and five ORFs of interest for the host and encoding a type II toxin antitoxin system RelB/YafQ, an endonuclease, an S-adenosylmethionine synthetase MetK, and an StrP-like adhesin. Using the WT strain cured from 12/111phiA and constructing deleted mutants for the ORFs of interest, and their complemented mutants, we demonstrated an impact of prophage features on growth characteristics, cell morphology and biofilm formation. Our findings argue in favor of 12/111phiA domestication by the host and a role of prophage features in cell autoaggregation, glycocalyx and biofilm formation. We suggest that lysogeny may promote GBS adaptation to the acid environment of the vagina, consequently colonizing and infecting neonates.

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            The EMBL-EBI search and sequence analysis tools APIs in 2019

            Abstract The EMBL-EBI provides free access to popular bioinformatics sequence analysis applications as well as to a full-featured text search engine with powerful cross-referencing and data retrieval capabilities. Access to these services is provided via user-friendly web interfaces and via established RESTful and SOAP Web Services APIs (https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/EMBL-EBI+Web+Services+APIs+-+Data+Retrieval). Both systems have been developed with the same core principles that allow them to integrate an ever-increasing volume of biological data, making them an integral part of many popular data resources provided at the EMBL-EBI. Here, we describe the latest improvements made to the frameworks which enhance the interconnectivity between public EMBL-EBI resources and ultimately enhance biological data discoverability, accessibility, interoperability and reusability.
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              Easyfig: a genome comparison visualizer

              Summary: Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface. BLAST comparisons between multiple genomic regions, ranging from single genes to whole prokaryote chromosomes, can be generated, visualized and interactively coloured, enabling a rapid transition between analysis and the preparation of publication quality figures. Availability: Easyfig is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from the SourceForge web site: http://easyfig.sourceforge.net/. Contact: s.beatson@uq.edu.au
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                21 May 2021
                June 2021
                : 9
                : 6
                : 1112
                Affiliations
                [1 ]UMR INRAE 1282 Infectiologie et Santé Publique, Bactéries et Risque Materno-Foetal, Université de Tours, 37000 Tours, France; adelaide.renard@ 123456etu.univ-tours.fr (A.R.); n.brion@ 123456chu-tours.fr (L.C.-M.); mereghetti@ 123456univ-tours.fr (L.M.); rlq37000@ 123456gmail.com (R.Q.)
                [2 ]Aix-Marseille Université, MEPHI, IRD, APHM, IHU-Méditerranée Infection, Faculté de Pharmacie, 13000 Marseille, France; seydina.m.ddiene@ 123456gmail.com
                [3 ]Plateforme IBiSA Microscopie Electronique, Faculté de Médecine, Université de Tours, 37000 Tours, France; julien.gaillard@ 123456univ-tours.fr
                [4 ]Service d’Hygiène Hospitalière, CHRU, 25056 Besançon, France; hhgbaguidihaore@ 123456chu-besancon.fr
                [5 ]Laboratoire de Recherche Génomique, Service des Maladies Infectieuses, Centre Médical Universitaire, Hôpitaux Universitaire de Genève, 1205 Geneva, Switzerland; patrice.francois@ 123456genomic.ch
                Author notes
                Author information
                https://orcid.org/0000-0002-6466-2324
                https://orcid.org/0000-0001-5171-9873
                https://orcid.org/0000-0002-1825-9358
                https://orcid.org/0000-0002-0540-750X
                Article
                microorganisms-09-01112
                10.3390/microorganisms9061112
                8223999
                34063935
                e111f6b5-0bb5-4c0f-a442-bd6b17c2ee67
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 10 April 2021
                : 17 May 2021
                Categories
                Article

                streptococcus agalactiae,phage,autoaggregation,biofilm,pathogenicity,neonate

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