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      Genetic characterization of Escherichia coli and Klebsiella spp. from humans and poultry in Nigeria

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          Abstract

          The emergence of antibiotic resistance in livestock, especially food-producing animals, is of major public health importance as a result of the possibility of these bacteria entering the food chain. In this study, the genetic characteristics of antibiotic-resistant Escherichia coli and Klebsiella spp. isolates from humans and poultry in Edo state, Nigeria, were investigated. In April 2017, 45 Klebsiella spp. and 46 E. coli isolates were obtained from urine, clinical wounds, nasal and chicken faecal samples. Isolates were recovered and identified as previously described. Species identification was achieved by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry and ribosomal multilocus sequence typing. Antimicrobial susceptibility testing was carried out using the Kirby–Bauer method for 12 antibiotics. A double disc synergy test was used to screen for extended-spectrum beta-lactamse (ESBL) production. Whole genome sequencing was performed for strain characterization of the isolates. Thirteen Klebsiella spp. isolates yielded positive results by the ESBL phenotypic test and harboured ESBL genes. Of the 46 E. coli isolates, 21 human and 13 poultry isolates were resistant to at least one of the tested antibiotics. Four human E. coli isolates harboured ESBL genes and revealed positive results when applying ESBL double disc synergy tests. ESBL genes in the Klebsiella spp. and E. coli isolates include bla CTX-M-15 and bla SHV-28. Whole genome-based core gene multilocus sequence typing of the Klebsiella spp. and E. coli isolates revealed a close relatedness among the isolates. An integrated ‘One Health’ surveillance system is required to monitor transmission of antimicrobial resistance in Nigeria.

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          In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing.

          In the work presented here, we designed and developed two easy-to-use Web tools for in silico detection and characterization of whole-genome sequence (WGS) and whole-plasmid sequence data from members of the family Enterobacteriaceae. These tools will facilitate bacterial typing based on draft genomes of multidrug-resistant Enterobacteriaceae species by the rapid detection of known plasmid types. Replicon sequences from 559 fully sequenced plasmids associated with the family Enterobacteriaceae in the NCBI nucleotide database were collected to build a consensus database for integration into a Web tool called PlasmidFinder that can be used for replicon sequence analysis of raw, contig group, or completely assembled and closed plasmid sequencing data. The PlasmidFinder database currently consists of 116 replicon sequences that match with at least at 80% nucleotide identity all replicon sequences identified in the 559 fully sequenced plasmids. For plasmid multilocus sequence typing (pMLST) analysis, a database that is updated weekly was generated from www.pubmlst.org and integrated into a Web tool called pMLST. Both databases were evaluated using draft genomes from a collection of Salmonella enterica serovar Typhimurium isolates. PlasmidFinder identified a total of 103 replicons and between zero and five different plasmid replicons within each of 49 S. Typhimurium draft genomes tested. The pMLST Web tool was able to subtype genomic sequencing data of plasmids, revealing both known plasmid sequence types (STs) and new alleles and ST variants. In conclusion, testing of the two Web tools using both fully assembled plasmid sequences and WGS-generated draft genomes showed them to be able to detect a broad variety of plasmids that are often associated with antimicrobial resistance in clinically relevant bacterial pathogens. Copyright © 2014, American Society for Microbiology. All Rights Reserved.
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            Identification of acquired antimicrobial resistance genes

            Objectives Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data. Methods We developed a web-based method, ResFinder that uses BLAST for identification of acquired antimicrobial resistance genes in whole-genome data. As input, the method can use both pre-assembled, complete or partial genomes, and short sequence reads from four different sequencing platforms. The method was evaluated on 1862 GenBank files containing 1411 different resistance genes, as well as on 23 de- novo-sequenced isolates. Results When testing the 1862 GenBank files, the method identified the resistance genes with an ID = 100% (100% identity) to the genes in ResFinder. Agreement between in silico predictions and phenotypic testing was found when the method was further tested on 23 isolates of five different bacterial species, with available phenotypes. Furthermore, ResFinder was evaluated on WGS chromosomes and plasmids of 30 isolates. Seven of these isolates were annotated to have antimicrobial resistance, and in all cases, annotations were compatible with the ResFinder results. Conclusions A web server providing a convenient way of identifying acquired antimicrobial resistance genes in completely sequenced isolates was created. ResFinder can be accessed at www.genomicepidemiology.org. ResFinder will continuously be updated as new resistance genes are identified.
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              Antibiotic susceptibility testing by a standardized single disk method.

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                Author and article information

                Journal
                Access Microbiol
                Access Microbiol
                acmi
                acmi
                Access Microbiology
                Microbiology Society
                2516-8290
                2023
                12 July 2023
                12 July 2023
                : 5
                : 7
                : acmi000509.v4
                Affiliations
                [ 1] departmentDepartment of Pharmaceutical Microbiology, College of Pharmacy , Igbinedion University , Okada, Edo state, Nigeria
                [ 2] Institute of Medical Microbiology and Hygiene, Austrian Agency for Health and Food Safety , Vienna, Austria
                Author notes
                *Correspondence: Christiana Jesumirhewe, Christiana.jesumirhewe@ 123456iuokada.edu.ng
                Author information
                https://orcid.org/0000-0002-8829-0713
                Article
                000509.v4
                10.1099/acmi.0.000509.v4
                10436014
                37601433
                e80cb726-eda8-4e4a-bf5b-e190e089df62
                © 2023 The Authors

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

                History
                : 04 October 2022
                : 31 May 2023
                Funding
                Funded by: Austrian Agency for Health and Food Safety
                Award Recipient : NotApplicable
                Categories
                Research Articles
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                antibiotic resistance,escherichia coli,human, klebsiella spp.,poultry,whole genome sequencing

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