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      Genomics and pathotypes of the many faces of Escherichia coli

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          Abstract

          Escherichia coli is the most researched microbial organism in the world. Its varied impact on human health, consisting of commensalism, gastrointestinal disease, or extraintestinal pathologies, has generated a separation of the species into at least eleven pathotypes (also known as pathovars). These are broadly split into two groups, intestinal pathogenic E. coli (InPEC) and extraintestinal pathogenic E. coli (ExPEC). However, components of E. coli’s infinite open accessory genome are horizontally transferred with substantial frequency, creating pathogenic hybrid strains that defy a clear pathotype designation. Here, we take a birds-eye view of the E. coli species, characterizing it from historical, clinical, and genetic perspectives. We examine the wide spectrum of human disease caused by E. coli, the genome content of the bacterium, and its propensity to acquire, exchange, and maintain antibiotic resistance genes and virulence traits. Our portrayal of the species also discusses elements that have shaped its overall population structure and summarizes the current state of vaccine development targeted at the most frequent E. coli pathovars. In our conclusions, we advocate streamlining efforts for clinical reporting of ExPEC, and emphasize the pathogenic potential that exists throughout the entire species.

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          Most cited references417

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          High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries

          A fundamental question in microbiology is whether there is continuum of genetic diversity among genomes, or clear species boundaries prevail instead. Whole-genome similarity metrics such as Average Nucleotide Identity (ANI) help address this question by facilitating high resolution taxonomic analysis of thousands of genomes from diverse phylogenetic lineages. To scale to available genomes and beyond, we present FastANI, a new method to estimate ANI using alignment-free approximate sequence mapping. FastANI is accurate for both finished and draft genomes, and is up to three orders of magnitude faster compared to alignment-based approaches. We leverage FastANI to compute pairwise ANI values among all prokaryotic genomes available in the NCBI database. Our results reveal clear genetic discontinuity, with 99.8% of the total 8 billion genome pairs analyzed conforming to >95% intra-species and <83% inter-species ANI values. This discontinuity is manifested with or without the most frequently sequenced species, and is robust to historic additions in the genome databases.
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            CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database

            Abstract The Comprehensive Antibiotic Resistance Database (CARD; https://card.mcmaster.ca) is a curated resource providing reference DNA and protein sequences, detection models and bioinformatics tools on the molecular basis of bacterial antimicrobial resistance (AMR). CARD focuses on providing high-quality reference data and molecular sequences within a controlled vocabulary, the Antibiotic Resistance Ontology (ARO), designed by the CARD biocuration team to integrate with software development efforts for resistome analysis and prediction, such as CARD’s Resistance Gene Identifier (RGI) software. Since 2017, CARD has expanded through extensive curation of reference sequences, revision of the ontological structure, curation of over 500 new AMR detection models, development of a new classification paradigm and expansion of analytical tools. Most notably, a new Resistomes & Variants module provides analysis and statistical summary of in silico predicted resistance variants from 82 pathogens and over 100 000 genomes. By adding these resistance variants to CARD, we are able to summarize predicted resistance using the information included in CARD, identify trends in AMR mobility and determine previously undescribed and novel resistance variants. Here, we describe updates and recent expansions to CARD and its biocuration process, including new resources for community biocuration of AMR molecular reference data.
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              Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study.

              Until now, polymyxin resistance has involved chromosomal mutations but has never been reported via horizontal gene transfer. During a routine surveillance project on antimicrobial resistance in commensal Escherichia coli from food animals in China, a major increase of colistin resistance was observed. When an E coli strain, SHP45, possessing colistin resistance that could be transferred to another strain, was isolated from a pig, we conducted further analysis of possible plasmid-mediated polymyxin resistance. Herein, we report the emergence of the first plasmid-mediated polymyxin resistance mechanism, MCR-1, in Enterobacteriaceae.
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                Author and article information

                Contributors
                Journal
                FEMS Microbiol Rev
                FEMS Microbiol Rev
                femsre
                FEMS Microbiology Reviews
                Oxford University Press
                0168-6445
                1574-6976
                November 2022
                24 June 2022
                24 June 2022
                : 46
                : 6
                : fuac031
                Affiliations
                Janssen Vaccines and Prevention B.V. , 2333 Leiden, the Netherlands
                Janssen Vaccines and Prevention B.V. , 2333 Leiden, the Netherlands
                Janssen Vaccines and Prevention B.V. , 2333 Leiden, the Netherlands
                Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University , 3584 Utrecht, the Netherlands
                Institute of Microbiology and Infection, College of Medical and Dental Sciences, University of Birmingham , B15 2TT Birmingham, United Kingdom
                Janssen Vaccines and Prevention B.V. , 2333 Leiden, the Netherlands
                Author notes
                Corresponding author: Bacterial Vaccine Discovery and Early Development, Janssen, PO Box 2048, 2301 CA Leiden, the Netherlands. Tel: +31 71 5197626; E-mail: JPoolman@ 123456its.jnj.com
                Author information
                https://orcid.org/0000-0002-3099-630X
                Article
                fuac031
                10.1093/femsre/fuac031
                9629502
                35749579
                24382ceb-03ae-4e1c-b20c-4000035fcb13
                © The Author(s) 2022. Published by Oxford University Press on behalf of FEMS.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 20 November 2021
                : 22 June 2022
                : 02 November 2022
                Page count
                Pages: 30
                Funding
                Funded by: Utrecht University, DOI 10.13039/501100001829;
                Categories
                Review Article
                AcademicSubjects/SCI01150

                Microbiology & Virology
                accessory genome, antibiotic resistance,bacterial species, escherichia coli pathotypes,population dynamics,virulence factors

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