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      Extended Spectrum Beta-Lactamase-Producing Gram-Negative Bacteria Recovered From an Amazonian Lake Near the City of Belém, Brazil

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          Abstract

          Aquatic systems have been described as antibiotic resistance reservoirs, where water may act as a vehicle for the spread of resistant bacteria and resistance genes. We evaluated the occurrence and diversity of third generation cephalosporin-resistant gram-negative bacteria in a lake in the Amazonia region. This water is used for human activities, including consumption after appropriate treatment. Eighteen samples were obtained from six sites in October 2014. Water quality parameters were generally within the legislation limits. Thirty-three bacterial isolates were identified as Escherichia ( n = 7 isolates), Acinetobacter, Enterobacter, and Klebsiella ( n = 5 each), Pseudomonas ( n = 4), Shigella ( n = 3), and Chromobacterium, Citrobacter, Leclercia, Phytobacter (1 isolate each). Twenty nine out of 33 isolates (88%) were resistant to most beta-lactams, except carbapenems, and 88% ( n = 29) were resistant to antibiotics included in at least three different classes. Among the beta-lactamase genes inspected, the bla CTX–M was the most prevalent ( n = 12 positive isolates), followed by bla TEM ( n = 5) and bla SHV ( n = 4). bla CTX–M–15 ( n = 5), bla CTX–M–14 ( n = 1) and bla CTX–M–2 ( n = 1) variants were detected in conserved genomic contexts: bla CTX–M–15 flanked by IS Ecp1 and Orf477; bla CTX–M–14 flanked by IS Ecp1 and IS 903; and bla CTX–M–2 associated to an ISCR element. For 4 strains the transfer of bla CTX–M was confirmed by conjugation assays. Compared with the recipient, the transconjugants showed more than 500-fold increases in the MICs of cefotaxime and 16 to 32-fold increases in the MICs of ceftazidime. Two isolates ( Escherichia coli APC43A and Acinetobacter baumannii APC25) were selected for whole genome analysis. APC43A was predicted as a E. coli pathogen of the high-risk clone ST471 and serotype O154:H18. bla CTX–M–15 as well as determinants related to efflux of antibiotics, were noted in APC43A genome. A. baumannii APC25 was susceptible to carbapenems and antibiotic resistance genes detected in its genome were intrinsic determinants (e.g., bla OXA–208 and bla ADC–like). The strain was not predicted as a human pathogen and belongs to a new sequence type. Operons related to metal resistance were predicted in both genomes as well as pathogenicity and resistance islands. Results suggest a high dissemination of ESBL-producing bacteria in Lake Água Preta which, although not presenting characteristics of a strongly impacted environment, contains multi-drug resistant pathogenic strains.

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          The comprehensive antibiotic resistance database.

          The field of antibiotic drug discovery and the monitoring of new antibiotic resistance elements have yet to fully exploit the power of the genome revolution. Despite the fact that the first genomes sequenced of free living organisms were those of bacteria, there have been few specialized bioinformatic tools developed to mine the growing amount of genomic data associated with pathogens. In particular, there are few tools to study the genetics and genomics of antibiotic resistance and how it impacts bacterial populations, ecology, and the clinic. We have initiated development of such tools in the form of the Comprehensive Antibiotic Research Database (CARD; http://arpcard.mcmaster.ca). The CARD integrates disparate molecular and sequence data, provides a unique organizing principle in the form of the Antibiotic Resistance Ontology (ARO), and can quickly identify putative antibiotic resistance genes in new unannotated genome sequences. This unique platform provides an informatic tool that bridges antibiotic resistance concerns in health care, agriculture, and the environment.
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            Development of a set of multiplex PCR assays for the detection of genes encoding important beta-lactamases in Enterobacteriaceae.

            To develop a rapid and reliable tool to detect by multiplex PCR assays the most frequently widespread beta-lactamase genes encoding the OXA-1-like broad-spectrum beta-lactamases, extended-spectrum beta-lactamases (ESBLs), plasmid-mediated AmpC beta-lactamases and class A, B and D carbapenemases. Following the design of a specific group of primers and optimization using control strains, a set of six multiplex PCRs and one simplex PCR was created. An evaluation of the set was performed using a collection of 31 Enterobacteriaceae strains isolated from clinical specimens showing a resistance phenotype towards broad-spectrum cephalosporins and/or cephamycins and/or carbapenems. Direct sequencing from PCR products was subsequently carried out to identify beta-lactamase genes. Under optimized conditions, all positive controls confirmed the specificity of group-specific PCR primers. Except for the detection of carbapenemase genes, multiplex and simplex PCR assays were carried out using the same PCR conditions, allowing assays to be performed in a single run. Out of 31 isolates selected, 22 strains produced an ESBL, mostly CTX-M-15 but also CTX-M-1 and CTX-M-9, SHV-12, SHV-5, SHV-2, TEM-21, TEM-52 and a VEB-type ESBL, 6 strains produced a plasmid-mediated AmpC beta-lactamase (five DHA-1 and one CMY-2) and 3 strains produced both an ESBL (two SHV-12, one CTX-M-15) and a plasmid-mediated AmpC beta-lactamase (DHA-1). We report here the development of a useful method composed of a set of six multiplex PCRs and one simplex PCR for the rapid screening of the most frequently encountered beta-lactamases. This method allowed direct sequencing from the PCR products.
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              Antibiotics and antibiotic resistance in water environments.

              Antibiotic-resistant organisms enter into water environments from human and animal sources. These bacteria are able to spread their genes into water-indigenous microbes, which also contain resistance genes. On the contrary, many antibiotics from industrial origin circulate in water environments, potentially altering microbial ecosystems. Risk assessment protocols for antibiotics and resistant bacteria in water, based on better systems for antibiotics detection and antibiotic-resistance microbial source tracking, are starting to be discussed. Methods to reduce resistant bacterial load in wastewaters, and the amount of antimicrobial agents, in most cases originated in hospitals and farms, include optimization of disinfection procedures and management of wastewater and manure. A policy for preventing mixing human-originated and animal-originated bacteria with environmental organisms seems advisable.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                28 February 2019
                2019
                : 10
                : 364
                Affiliations
                [1] 1Laboratory of Genomics and Bioinformatics, Center of Genomics and Systems Biology, Institute of Biological Sciences, Federal University of Pará , Belém, Brazil
                [2] 2Department of Biology and CESAM, University of Aveiro , Aveiro, Portugal
                [3] 3Federal Rural University of Amazon , Capanema, Brazil
                Author notes

                Edited by: Patrícia Poeta, University of Trás-os-Montes and Alto Douro, Portugal

                Reviewed by: Michael P. Ryan, University of Limerick, Ireland; Yvonne Pfeifer, Robert Koch Institute, Germany

                *Correspondence: Isabel Henriques, ihenriques@ 123456ua.pt

                This article was submitted to Antimicrobials, Resistance and Chemotherapy, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2019.00364
                6403167
                30873145
                67327a6f-cdcf-4f24-9ffb-f3fa74d1ab54
                Copyright © 2019 Freitas, Araújo, Folador, Ramos, Azevedo, Tacão, Silva, Henriques and Baraúna.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 December 2017
                : 12 February 2019
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 67, Pages: 13, Words: 0
                Funding
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 10.13039/501100001871
                Award ID: CAPES/FCT Proc. 99999.008387/2014-01
                Funded by: Fundação para a Ciência e a Tecnologia 10.13039/501100001871
                Award ID: UID/AMB/50017/2013 - POCI-01-0145-FEDER-007638
                Award ID: IF/00492/2013
                Award ID: SFRH/114855/2016
                Award ID: SFRH/BD/52573/2014
                Award ID: FCT/CAPES Proc. 4.4.1.00
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                antibiotic resistance,escherichia coli,acinetobacter baumannii,blactx–m,whole genome analysis

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