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      The Role of Mobile Genetic Elements in Virulence Factor Carriage from Symptomatic and Asymptomatic Cases of Escherichia coli Bacteriuria

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          ABSTRACT

          Uropathogenic Escherichia coli (UPEC) is extremely diverse genotypically and phenotypically. Individual strains can variably carry diverse virulence factors, making it challenging to define a molecular signature for this pathotype. For many bacterial pathogens, mobile genetic elements (MGEs) constitute a major mechanism of virulence factor acquisition. For urinary E. coli, the total distribution of MGEs and their role in the acquisition of virulence factors is not well defined, including in the context of symptomatic infection versus asymptomatic bacteriuria (ASB). In this work, we characterized 151 isolates of E. coli, derived from patients with either urinary tract infection (UTI) or ASB. For both sets of E. coli, we catalogued the presence of plasmids, prophage, and transposons. We analyzed MGE sequences for the presence of virulence factors and antimicrobial resistance genes. These MGEs were associated with only ~4% of total virulence associated genes, while plasmids contributed to ~15% of antimicrobial resistance genes under consideration. Our analyses suggests that, across strains of E. coli, MGEs are not a prominent driver of urinary tract pathogenesis and symptomatic infection.

          IMPORTANCE Escherichia coli is the most common etiological agent of urinary tract infections (UTIs), with UTI-associated strains designated “uropathogenic” E. coli or UPEC. Across urinary strains of E. coli, the global landscape of MGEs and its relationship to virulence factor carriage and clinical symptomatology require greater clarity. Here, we demonstrate that many of the putative virulence factors of UPEC are not associated with acquisition due to MGEs. The current work enhances our understanding of the strain-to-strain variability and pathogenic potential of urine-associated E. coli and points toward more subtle genomic differences distinguishing ASB from UTI isolates.

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          SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

          The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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            BLAST+: architecture and applications

            Background Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings in the user-interface of the current command-line applications. Results We describe features and improvements of rewritten BLAST software and introduce new command-line applications. Long query sequences are broken into chunks for processing, in some cases leading to dramatically shorter run times. For long database sequences, it is possible to retrieve only the relevant parts of the sequence, reducing CPU time and memory usage for searches of short queries against databases of contigs or chromosomes. The program can now retrieve masking information for database sequences from the BLAST databases. A new modular software library can now access subject sequence data from arbitrary data sources. We introduce several new features, including strategy files that allow a user to save and reuse their favorite set of options. The strategy files can be uploaded to and downloaded from the NCBI BLAST web site. Conclusion The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences. We have also improved the user interface of the command-line applications.
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              Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation

              The Interactive Tree Of Life ( https://itol.embl.de ) is an online tool for the display, manipulation and annotation of phylogenetic and other trees. It is freely available and open to everyone. iTOL version 5 introduces a completely new tree display engine, together with numerous new features. For example, a new dataset type has been added (MEME motifs), while annotation options have been expanded for several existing ones. Node metadata display options have been extended and now also support non-numerical categorical values, as well as multiple values per node. Direct manual annotation is now available, providing a set of basic drawing and labeling tools, allowing users to draw shapes, labels and other features by hand directly onto the trees. Support for tree and dataset scales has been extended, providing fine control over line and label styles. Unrooted tree displays can now use the equal-daylight algorithm, proving a much greater display clarity. The user account system has been streamlined and expanded with new navigation options and currently handles >1 million trees from >70 000 individual users. Graphical Abstract iTOL: an online tool for the tree display and annotation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                17 May 2023
                May-Jun 2023
                17 May 2023
                : 11
                : 3
                : e04710-22
                Affiliations
                [a ] Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, Tennessee, USA
                [b ] Department of Urology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
                [c ] Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University, Nashville, Tennessee, USA
                [d ] Infectious Disease and Microbiome Program, Broad Institute, Cambridge, Massachusetts, USA
                University of Pittsburgh School of Medicine
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-4249-8997
                https://orcid.org/0000-0002-2727-9078
                Article
                04710-22 spectrum.04710-22
                10.1128/spectrum.04710-22
                10269530
                37195213
                74222796-d57c-40a6-9cd7-f936376e43be
                Copyright © 2023 Morales et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 17 November 2022
                : 1 May 2023
                Page count
                supplementary-material: 0, Figures: 6, Tables: 4, Equations: 0, References: 93, Pages: 14, Words: 9026
                Funding
                Funded by: Vanderbilt Trans-Institutional Program;
                Award ID: TIPS Reinvestment Award
                Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID), FundRef https://doi.org/10.13039/100000060;
                Award ID: U19AI110818
                Award Recipient :
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), FundRef https://doi.org/10.13039/100000062;
                Award ID: P20DK123967-01
                Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient : Award Recipient :
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), FundRef https://doi.org/10.13039/100000062;
                Award ID: R01DK121822
                Award Recipient :
                Funded by: HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), FundRef https://doi.org/10.13039/100000062;
                Award ID: F31DK131902-01
                Award Recipient :
                Funded by: Vanderbilt Institute for Clinical and Translational Research (VICTR), FundRef https://doi.org/10.13039/100007206;
                Award ID: U1LTR002243
                Award Recipient : Award Recipient :
                Categories
                Research Article
                bacteriology, Bacteriology
                Custom metadata
                May/June 2023

                amr,antibiotic resistance,mge,mobile genetic elements,upec,urinary tract infection,virulence factors

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