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      Differential dynamics and impacts of prophages and plasmids on the pangenome and virulence factor repertoires of Shiga toxin-producing Escherichia coli O145:H28

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          Abstract

          Phages and plasmids play important roles in bacterial evolution and diversification. Although many draft genomes have been generated, phage and plasmid genomes are usually fragmented, limiting our understanding of their dynamics. Here, we performed a systematic analysis of 239 draft genomes and 7 complete genomes of Shiga toxin (Stx)-producing Escherichia coli O145:H28, the major virulence factors of which are encoded by prophages (PPs) or plasmids. The results indicated that PPs are more stably maintained than plasmids. A set of ancestrally acquired PPs was well conserved, while various PPs, including Stx phages, were acquired by multiple sublineages. In contrast, gains and losses of a wide range of plasmids have frequently occurred across the O145:H28 lineage, and only the virulence plasmid was well conserved. The different dynamics of PPs and plasmids have differentially impacted the pangenome of O145:H28, with high proportions of PP- and plasmid-associated genes in the variably present and rare gene fractions, respectively. The dynamics of PPs and plasmids have also strongly impacted virulence gene repertoires, such as the highly variable distribution of stx genes and the high conservation of a set of type III secretion effectors, which probably represents the core effectors of O145:H28 and the genes on the virulence plasmid in the entire O145:H28 population. These results provide detailed insights into the dynamics of PPs and plasmids, and show the application of genomic analyses using a large set of draft genomes and appropriately selected complete genomes.

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          Most cited references31

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          ISfinder: the reference centre for bacterial insertion sequences

          ISfinder () is a dedicated database for bacterial insertion sequences (ISs). It has superseded the Stanford reference center. One of its functions is to assign IS names and to provide a focal point for a coherent nomenclature. It is also the repository for ISs. Each new IS is indexed together with information such as its DNA sequence and open reading frames or potential coding sequences, the sequence of the ends of the element and target sites, its origin and distribution together with a bibliography where available. Another objective is to continuously monitor ISs to provide updated comprehensive groupings or families and to provide some insight into their phylogenies. The site also contains extensive background information on ISs and transposons in general. Online tools are gradually being added. At present an online Blast facility against the entire bank is available. But additional features will include alignment capability, PsiBLAST and HMM profiles. ISfinder also includes a section on bacterial genomes and is involved in annotating the IS content of these genomes. Finally, this database is currently recommended by several microbiology journals for registration of new IS elements before their publication.
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            Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software

            Phylogeographical analyses have become commonplace for a myriad of organisms with the advent of cheap DNA sequencing technologies. Bayesian model-based clustering is a powerful tool for detecting important patterns in such data and can be used to decipher even quite subtle signals of systematic differences in molecular variation. Here, we introduce two upgrades to the Bayesian Analysis of Population Structure (BAPS) software, which enable 1) spatially explicit modeling of variation in DNA sequences and 2) hierarchical clustering of DNA sequence data to reveal nested genetic population structures. We provide a direct interface to map the results from spatial clustering with Google Maps using the portal http://www.spatialepidemiology.net/ and illustrate this approach using sequence data from Borrelia burgdorferi. The usefulness of hierarchical clustering is demonstrated through an analysis of the metapopulation structure within a bacterial population experiencing a high level of local horizontal gene transfer. The tools that are introduced are freely available at http://www.helsinki.fi/bsg/software/BAPS/.
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              Non-O157 Shiga toxin-producing Escherichia coli infections in the United States, 1983-2002.

              Shiga toxin-producing Escherichia coli (STEC) O157:H7 is a well-recognized cause of bloody diarrhea and hemolytic-uremic syndrome (HUS). Non-O157 STEC contribute to this burden of illness but have been underrecognized as a result of diagnostic limitations and inadequate surveillance. Between 1983 and 2002, 43 state public health laboratories submitted 940 human non-O157 STEC isolates from persons with sporadic illnesses to the Centers for Diseases Control and Prevention reference laboratory for confirmation and serotyping. The most common serogroups were O26 (22%), O111 (16%), O103 (12%), O121 (8%), O45 (7%), and O145 (5%). Non-O157 STEC infections were most frequent during the summer and among young persons (median age, 12 years; interquartile range, 3-37 years). Virulence gene profiles were as follows: 61% stx(1) but not stx(2); 22% stx(2) but not stx(1); 17% both stx(1) and stx(2); 84% intimin (eae); and 86% enterohemolysin (E-hly). stx(2) was strongly associated with an increased risk of HUS, and eae was strongly associated with an increased risk of bloody diarrhea. STEC O111 accounted for most cases of HUS and was also the cause of 3 of 7 non-O157 STEC outbreaks reported in the United States. Non-O157 STEC can cause severe illness that is comparable to the illness caused by STEC O157. Strains that produce Shiga toxin 2 are much more likely to cause HUS than are those that produce Shiga toxin 1 alone. Improving surveillance will more fully elucidate the incidence and pathological spectrum of these emerging agents. These efforts require increased clinical suspicion, improved clinical laboratory isolation, and continued serotyping of isolates in public health laboratories.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                January 2020
                14 January 2020
                14 January 2020
                : 6
                : 1
                : e000323
                Affiliations
                [ 1] departmentGraduate School of Medical Sciences , Kyushu University , Fukuoka, Japan
                [ 2] departmentFaculty of Medicine , University of Miyazaki , Miyazaki, Japan
                [ 3] departmentCenter for Information Biology , National Institute of Genetics , Tokyo, Japan
                [ 4] departmentGraduate School of Bioscience and Biotechnology , Tokyo Institute of Technology , Tokyo, Japan
                [ 5] departmentFaculty of Veterinary Medicine , University of Liege , Liege, Belgium
                [ 6] Universitair Ziekenhuis Brussel , Brussels, Belgium
                [ 7] Miyazaki Prefectural Institute for Public Health and Environment , Miyazaki, Japan
                [ 8] Toyama Institute of Health , Toyama, Japan
                [ 9] Osaka Institute of Public Health , Osaka, Japan
                [ 10] Fukuoka Institute of Health and Environmental Sciences , Fukuoka, Japan
                [ 11] Oita Prefectural Institute of Health and Environment , Oita, Japan
                [ 12] Akita Research Center for Public Health and Environment , Akita, Japan
                [ 13] National Institute of Infectious Diseases , Tokyo, Japan
                [ 14] departmentGraduate School of Medical and Dental Sciences , Kagoshima University , Kagoshima, Japan
                Author notes
                *Correspondence: Tetsuya Hayashi, thayash@ 123456bact.med.kyushu-u.ac.jp
                Author information
                https://orcid.org/0000-0002-8500-9359
                https://orcid.org/0000-0001-5383-5499
                https://orcid.org/0000-0002-0728-7548
                https://orcid.org/0000-0002-6113-557X
                https://orcid.org/0000-0003-0633-0417
                https://orcid.org/0000-0002-4765-0989
                https://orcid.org/0000-0002-2859-6948
                https://orcid.org/0000-0001-6366-7177
                Article
                000323
                10.1099/mgen.0.000323
                7067040
                31935184
                32979290-3eee-4fda-bc97-2578bcf4a505
                © 2020 The Authors

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

                History
                : 21 September 2019
                : 09 December 2019
                Funding
                Funded by: Grant-in-Aid for Scientific Research on Innovative Areas
                Award ID: 16H06279
                Award Recipient : Tetsuya Hayashi
                Funded by: Grant-in-Aid for Scientific Research(C)
                Award ID: 18K07116
                Award Recipient : Keiji Nakamura
                Funded by: Japan Agency for Medical Research and Development
                Award Recipient : Sunao Iyoda
                Funded by: Japan Agency for Medical Research and Development
                Award Recipient : Tetsuya Hayashi
                Categories
                Research Article
                Systems Microbiology: Large-scale Comparative Genomics
                Custom metadata
                0

                comparative genomics,complete genome,draft genome set,prophage and plasmid dynamics,shiga toxin-producing escherichia coli

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