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      Molecular characterisation of the first New Delhi metallo-β-lactamase 1-producing Acinetobacter baumannii from Tanzania

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          Abstract

          Background

          We aimed to characterise the genetic determinants and context of two meropenem-resistant clinical isolates of Acinetobacter baumannii isolated from children hospitalised with bloodstream infections in Dar es Salaam, Tanzania.

          Methods

          Antimicrobial susceptibility was determined by disc diffusion E-test and broth microdilution. Genomes were completed using a hybrid assembly of Illumina and Oxford Nanopore Technologies sequencing reads and characterisation of the genetic context of resistance genes, multi-locus sequence types (STs) and phylogenetic analysis was determined bioinformatically.

          Results

          Twelve A. baumannii were isolated from 2226 blood cultures, two of which were meropenem-resistant. The two meropenem-resistant isolates, belonging to distinct STs, ST374 and ST239, were found to harbour bla NDM-1, which was chromosomally located in isolate DT0544 and plasmid-located in isolate DT01139. The genetic environment of bla NDM-1 shows the association of insertion sequence ISAba 125 with bla NDM-1 in both isolates. Both isolates also harboured genes conferring resistance to other β-lactams, aminoglycosides and cotrimoxazole.

          Conclusions

          This is the first report of New Delhi metallo-β-lactamase-producing isolates of A. baumannii from Tanzania. The genetic context of bla NDM-1 provides further evidence of the importance of ISAba 125 in the spread of bla NDM-1 in A. baumannii. Local surveillance should be strengthened to keep clinicians updated on the incidence of these and other multidrug-resistant and difficult-to-treat bacteria.

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          Most cited references31

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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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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              Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

              The Illumina DNA sequencing platform generates accurate but short reads, which can be used to produce accurate but fragmented genome assemblies. Pacific Biosciences and Oxford Nanopore Technologies DNA sequencing platforms generate long reads that can produce complete genome assemblies, but the sequencing is more expensive and error-prone. There is significant interest in combining data from these complementary sequencing technologies to generate more accurate “hybrid” assemblies. However, few tools exist that truly leverage the benefits of both types of data, namely the accuracy of short reads and the structural resolving power of long reads. Here we present Unicycler, a new tool for assembling bacterial genomes from a combination of short and long reads, which produces assemblies that are accurate, complete and cost-effective. Unicycler builds an initial assembly graph from short reads using the de novo assembler SPAdes and then simplifies the graph using information from short and long reads. Unicycler uses a novel semi-global aligner to align long reads to the assembly graph. Tests on both synthetic and real reads show Unicycler can assemble larger contigs with fewer misassemblies than other hybrid assemblers, even when long-read depth and accuracy are low. Unicycler is open source (GPLv3) and available at github.com/rrwick/Unicycler.
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                Author and article information

                Contributors
                Journal
                Trans R Soc Trop Med Hyg
                Trans R Soc Trop Med Hyg
                trstmh
                Transactions of the Royal Society of Tropical Medicine and Hygiene
                Oxford University Press
                0035-9203
                1878-3503
                September 2021
                27 January 2021
                27 January 2021
                : 115
                : 9
                : 1080-1085
                Affiliations
                Depart ment of Clinical Science, University of Bergen , Norway
                Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences , MUHAS, Dar es Salaam, Tanzania
                Department of Tropical Disease Biology, Liverpool School of Tropical Medicine , Liverpool, L3 5QA, UK
                Depart ment of Clinical Science, University of Bergen , Norway
                Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences , MUHAS, Dar es Salaam, Tanzania
                Department of Tropical Disease Biology, Liverpool School of Tropical Medicine , Liverpool, L3 5QA, UK
                Department of Tropical Disease Biology, Liverpool School of Tropical Medicine , Liverpool, L3 5QA, UK
                Department of Paediatrics and Child Health, Muhimbili University of Health and Allied Sciences , MUHAS, Dar es Salaam, Tanzania
                Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences , MUHAS, Dar es Salaam, Tanzania
                Department of Paediatrics and Child Health, Muhimbili University of Health and Allied Sciences , MUHAS, Dar es Salaam, Tanzania
                Depart ment of Clinical Science, University of Bergen , Norway
                Norwegian National Advisory Unit for Tropical Infectious Diseases, Haukeland University Hospital , Bergen, Norway
                Depart ment of Clinical Science, University of Bergen , Norway
                Norwegian National Advisory Unit for Tropical Infectious Diseases, Haukeland University Hospital , Bergen, Norway
                Department of Tropical Disease Biology, Liverpool School of Tropical Medicine , Liverpool, L3 5QA, UK
                Author notes
                Corresponding author: Tel: +44 744 4244 537; E-mail: sabrina.moyo@ 123456uib.no
                Author information
                https://orcid.org/0000-0003-4735-1513
                Article
                traa173
                10.1093/trstmh/traa173
                8417080
                33503660
                0d3aba1a-5b0d-4375-96bb-46137d1fa4c7
                © The Author(s) 2021. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 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
                : 03 September 2020
                : 01 December 2020
                : 22 December 2020
                Page count
                Pages: 6
                Funding
                Funded by: University of Bergen, DOI 10.13039/501100005036;
                Funded by: Medical Research Council, DOI 10.13039/501100007155;
                Award ID: MR/S004793/1
                Award ID: MR/N013514/1
                Funded by: RLB;
                Funded by: National Institute for Health Research, DOI 10.13039/501100000272;
                Award ID: NIHR200632
                Categories
                Original Article
                AcademicSubjects/MED00860
                AcademicSubjects/MED00290

                Medicine
                acinetobacter baumannii,antimicrobial resistance mechanisms,bloodstream infections,new delhi metallo-β-lactamase 1,tanzania

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