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      Distribution and expression of the aac(6′)- Im ( aacA16) aminoglycoside resistance gene

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          Abstract

          Background

          The aac(6)-Im ( aacA16) amikacin, netilmicin and tobramycin resistance gene cassette had been circulating globally undetected for many years in a sublineage of Acinetobacter baumannii global clone 2.

          Objectives

          To identify sources for the aac(6)-Im fragment found in A. baumannii.

          Methods

          MinION long-read sequencing and Unicycler hybrid assemblies were used to determine the genetic context of the aac(6)-Im gene. Quantitative reverse transcriptase PCR was used to measure expression.

          Results

          Among >60 000 non- Acinetobacter draft genomes in the MRSN collection, the aac(6)-Im gene was detected in Pseudomonas putida and Enterobacter hormaechei isolates recovered from patients in Thailand between 2016 and 2019. Genomes of multiply resistant P. putida MRSN365855 and E. hormaechei MRSN791417 were completed. The class 1 integron containing the aac(6)-Im cassette was in the chromosome in MRSN365855, and in an HI2 plasmid in MRSN791417. However, MRSN791417 was amikacin susceptible and the gene was not expressed due to loss of the Pc promoter of the integron. Further examples of aac(6)-Im in plasmids from or the chromosome of various Gram-negative species were found in the GenBank nucleotide database. The aac(6)-Im context in integrons in pMRSN791417-8 and a Klebsiella plasmid pAMR200031 shared similarities with the aac(6)-Im region of AbGRI2-Im islands in A. baumannii. In other cases, the cassette array including the aac(6)-Im cassette was different.

          Conclusions

          The aac(6)-Im gene is widespread, being found so far in several different species and in several different gene cassette arrays. The lack of amikacin resistance in E. hormaechei highlights the importance of correlating resistance gene content and antibiotic resistance phenotype.

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          Most cited references22

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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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            Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

            The PubMLST.org website hosts a collection of open-access, curated databases that integrate population sequence data with provenance and phenotype information for over 100 different microbial species and genera.  Although the PubMLST website was conceived as part of the development of the first multi-locus sequence typing (MLST) scheme in 1998 the software it uses, the Bacterial Isolate Genome Sequence database (BIGSdb, published in 2010), enables PubMLST to include all levels of sequence data, from single gene sequences up to and including complete, finished genomes.  Here we describe developments in the BIGSdb software made from publication to June 2018 and show how the platform realises microbial population genomics for a wide range of applications.  The system is based on the gene-by-gene analysis of microbial genomes, with each deposited sequence annotated and curated to identify the genes present and systematically catalogue their variation.  Originally intended as a means of characterising isolates with typing schemes, the synthesis of sequences and records of genetic variation with provenance and phenotype data permits highly scalable (whole genome sequence data for tens of thousands of isolates) means of addressing a wide range of functional questions, including: the prediction of antimicrobial resistance; likely cross-reactivity with vaccine antigens; and the functional activities of different variants that lead to key phenotypes.  There are no limitations to the number of sequences, genetic loci, allelic variants or schemes (combinations of loci) that can be included, enabling each database to represent an expanding catalogue of the genetic variation of the population in question.  In addition to providing web-accessible analyses and links to third-party analysis and visualisation tools, the BIGSdb software includes a RESTful application programming interface (API) that enables access to all the underlying data for third-party applications and data analysis pipelines.
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              Gene cassettes and cassette arrays in mobile resistance integrons.

              Gene cassettes are small mobile elements, consisting of little more than a single gene and recombination site, which are captured by larger elements called integrons. Several cassettes may be inserted into the same integron forming a tandem array. The discovery of integrons in the chromosome of many species has led to the identification of thousands of gene cassettes, mostly of unknown function, while integrons associated with transposons and plasmids carry mainly antibiotic resistance genes and constitute an important means of spreading resistance. An updated compilation of gene cassettes found in sequences of such 'mobile resistance integrons' in GenBank was facilitated by a specially developed automated annotation system. At least 130 different (<98% identical) cassettes that carry known or predicted antibiotic resistance genes were identified, along with many cassettes of unknown function. We list exemplar GenBank accession numbers for each and address some nomenclature issues. Various modifications to cassettes, some of which may be useful in tracking cassette epidemiology, are also described. Despite potential biases in the GenBank dataset, preliminary analysis of cassette distribution suggests interesting differences between cassettes and may provide useful information to direct more systematic studies.
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                Author and article information

                Contributors
                Journal
                J Antimicrob Chemother
                J Antimicrob Chemother
                jac
                Journal of Antimicrobial Chemotherapy
                Oxford University Press (UK )
                0305-7453
                1460-2091
                July 2024
                14 May 2024
                14 May 2024
                : 79
                : 7
                : 1569-1576
                Affiliations
                School of Life and Environmental Sciences, The University of Sydney , NSW, Australia
                Multidrug Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research , Silver Spring, MD, USA
                Multidrug Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research , Silver Spring, MD, USA
                Bacterial and Parasitic Diseases Department, Armed Forces Research Institute of Medical Sciences (AFRIMS) , Bangkok, Thailand
                Multidrug Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research , Silver Spring, MD, USA
                School of Life and Environmental Sciences, The University of Sydney , NSW, Australia
                Author notes
                Corresponding author. E-mail: Ruth.hall@ 123456sydney.edu.au

                Patrick T. McGann and Ruth M. Hall Contributed equally.

                Author information
                https://orcid.org/0000-0003-1486-454X
                https://orcid.org/0000-0003-2062-3312
                Article
                dkae136
                10.1093/jac/dkae136
                11215538
                38742708
                88f460b2-8082-4890-82df-0f8319d8c4c2
                © The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy.

                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 reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.

                History
                : 12 February 2024
                : 22 April 2024
                Page count
                Pages: 8
                Funding
                Funded by: NHMRC, DOI 10.13039/501100000925;
                Award ID: GNT1194978
                Categories
                Original Research
                AcademicSubjects/MED00740
                AcademicSubjects/MED00290
                AcademicSubjects/MED00230

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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