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      WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil

      research-article
      a , b , c , , c , d , e , a , f , g , b , c , a , c , b , c , a , c , h , a , c , a , c , i , j , k , l , m , n , o , p , q , r , s , t , a , b , c ,
      Microbiology Spectrum
      American Society for Microbiology
      Enterobacterales, resistome, virulome, high-risk clones, One Health, multidrug resistance, carbapenems, colistin, carbapenemases, ESBL, MCR, genomic surveillance, South America

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          ABSTRACT

          The dissemination of carbapenem-resistant and third generation cephalosporin-resistant pathogens is a critical issue that is no longer restricted to hospital settings. The rapid spread of critical priority pathogens in Brazil is notably worrying, considering its continental dimension, the diversity of international trade, livestock production, and human travel. We conducted a nationwide genomic investigation under a One Health perspective that included Escherichia coli strains isolated from humans and nonhuman sources, over 45 years (1974–2019). One hundred sixty-seven genomes were analyzed extracting clinically relevant information (i.e., resistome, virulome, mobilome, sequence types [STs], and phylogenomic). The endemic status of extended-spectrum β-lactamase (ESBL)-positive strains carrying a wide diversity of bla CTX-M variants, and the growing number of colistin-resistant isolates carrying mcr-type genes was associated with the successful expansion of international ST10, ST38, ST115, ST131, ST354, ST410, ST648, ST517, and ST711 clones; phylogenetically related and shared between human and nonhuman hosts, and polluted aquatic environments. Otherwise, carbapenem-resistant ST48, ST90, ST155, ST167, ST224, ST349, ST457, ST648, ST707, ST744, ST774, and ST2509 clones from human host harbored bla KPC-2 and bla NDM-1 genes. A broad resistome to other clinically relevant antibiotics, hazardous heavy metals, disinfectants, and pesticides was further predicted. Wide virulome associated with invasion/adherence, exotoxin and siderophore production was related to phylogroup B2. The convergence of wide resistome and virulome has contributed to the persistence and rapid spread of international high-risk clones of critical priority E. coli at the human-animal-environmental interface, which must be considered a One Health challenge for a post-pandemic scenario.

          IMPORTANCE A One Health approach for antimicrobial resistance must integrate whole-genome sequencing surveillance data of critical priority pathogens from human, animal and environmental sources to track hot spots and routes of transmission and developing effective prevention and control strategies. As part of the Grand Challenges Explorations: New Approaches to Characterize the Global Burden of Antimicrobial Resistance Program, we present genomic data of WHO critical priority carbapenemase-resistant, ESBL-producing, and/or colistin-resistant Escherichia coli strains isolated from humans and nonhuman sources in Brazil, a country with continental proportions and high levels of antimicrobial resistance. The present study provided evidence of epidemiological and clinical interest, highlighting that the convergence of wide virulome and resistome has contributed to the persistence and rapid spread of international high-risk clones of E. coli at the human-animal-environmental interface, which must be considered a One Health threat that requires coordinated actions to reduce its incidence in humans and nonhuman hosts.

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          Prokka: rapid prokaryotic genome annotation.

          T Seemann (2014)
          The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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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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              Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance.

              Many different definitions for multidrug-resistant (MDR), extensively drug-resistant (XDR) and pandrug-resistant (PDR) bacteria are being used in the medical literature to characterize the different patterns of resistance found in healthcare-associated, antimicrobial-resistant bacteria. A group of international experts came together through a joint initiative by the European Centre for Disease Prevention and Control (ECDC) and the Centers for Disease Control and Prevention (CDC), to create a standardized international terminology with which to describe acquired resistance profiles in Staphylococcus aureus, Enterococcus spp., Enterobacteriaceae (other than Salmonella and Shigella), Pseudomonas aeruginosa and Acinetobacter spp., all bacteria often responsible for healthcare-associated infections and prone to multidrug resistance. Epidemiologically significant antimicrobial categories were constructed for each bacterium. Lists of antimicrobial categories proposed for antimicrobial susceptibility testing were created using documents and breakpoints from the Clinical Laboratory Standards Institute (CLSI), the European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the United States Food and Drug Administration (FDA). MDR was defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories, XDR was defined as non-susceptibility to at least one agent in all but two or fewer antimicrobial categories (i.e. bacterial isolates remain susceptible to only one or two categories) and PDR was defined as non-susceptibility to all agents in all antimicrobial categories. To ensure correct application of these definitions, bacterial isolates should be tested against all or nearly all of the antimicrobial agents within the antimicrobial categories and selective reporting and suppression of results should be avoided. © 2011 European Society of Clinical Microbiology and Infectious Diseases. No claim to original US government works.
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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
                2 March 2022
                Mar-Apr 2022
                2 March 2022
                : 10
                : 2
                : e01256-21
                Affiliations
                [a ] Department of Microbiology, Instituto de Ciências Biomédicas, University of São Paulo, São Paulo, Brazil
                [b ] Department of Clinical Analysis, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
                [c ] One Health Brazilian Resistance Project (OneBR), São Paulo, Brazil
                [d ] Department of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil
                [e ] School of Veterinary Medicine, Metropolitan University of Santos, Santos, Brazil
                [f ] Department of Infectious Diseases, Central Clinical School, Monash Universitygrid.1002.3, , Melbourne, Australia
                [g ] Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
                [h ] Faculty of Health Sciences, Federal University of Grande Dourados, Dourados, Mato Grosso do Sul, Brazil
                [i ] Laboratory of Molecular Microbiology, Institute of Biomedical Sciences, Federal University of Uberlândia, Uberlândia, Brazil
                [j ] Clinical Laboratory, Federal University of Paraiba, João Pessoa, Paraíba, Brazil
                [k ] School of Pharmacy, State University of Maringá, Maringá, Brazil
                [l ] Institute of Biological Sciences, University of Pernambuco, Recife, Brazil
                [m ] Laboratory of Special Pathogen Infections, Bacteriology and Mycology, Evandro Chagas Institute, Ananindeua, Brazil
                [n ] Faculty of Agronomy and Veterinary Medicine, University of Brasília, Brasília, Brazil
                [o ] Faculty of Pharmacy, Federal University of Bahiagrid.8399.b, , Salvador, Brazil
                [p ] Central Laboratory of the State of Paraná-LACEN, São Jose dos Pinhais, Brazil
                [q ] Microbiology Laboratory of the University Hospital of Londrina, State University of Londrina, Lonrina, Brazil
                [r ] Medical Microbiology Research Laboratory, Paulo de Góes Institute of Microbiology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
                [s ] Laboratory of Enteropathogens, Veterinary and Food Microbiology, Biomedical Institute, Fluminense Federal University, Niterói, Brazil
                [t ] Laboratory of Applied Molecular Microbiology, Department of Clinical Analysis, Federal University of Santa Catarina, Florianópolis, Brazil
                University of Arizona/Banner Health
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-4495-2615
                https://orcid.org/0000-0003-2057-6472
                https://orcid.org/0000-0003-4537-5458
                https://orcid.org/0000-0003-0161-5800
                Article
                01256-21 spectrum.01256-21
                10.1128/spectrum.01256-21
                8941879
                35234515
                20e99e7b-33b3-452f-917f-27fa389766b5
                Copyright © 2022 Fuga et al.

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

                History
                : 22 August 2021
                : 19 January 2022
                Page count
                supplementary-material: 1, Figures: 7, Tables: 0, Equations: 0, References: 95, Pages: 18, Words: 10075
                Funding
                Funded by: Bill and Melinda Gates Foundation (BMGF), FundRef https://doi.org/10.13039/100000865;
                Award ID: OPP1193112
                Award Recipient :
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), FundRef https://doi.org/10.13039/501100002322;
                Award ID: 88887.358057/2019-00
                Award ID: 1794306
                Award Recipient :
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), FundRef https://doi.org/10.13039/501100001807;
                Award ID: 2020/08224-9
                Award ID: 2019/15578-4
                Award Recipient : Award Recipient :
                Funded by: MCTI | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), FundRef https://doi.org/10.13039/501100003593;
                Award ID: 443819/2018-1
                Award ID: 433128/2018-6
                Award ID: 314336/2021-4
                Award Recipient :
                Categories
                Research Article
                genomics-and-proteomics, Genomics and Proteomics
                Custom metadata
                March/April 2022

                enterobacterales,resistome,virulome,high-risk clones,one health,multidrug resistance,carbapenems,colistin,carbapenemases,esbl,mcr,genomic surveillance,south america

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