3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact on Macrolide Resistance of Genetic Diversity of Mycobacterium abscessus Species

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          ABSTRACT

          Our previous study identified that the Mycobacterium abscessus subsp. abscessus T28 sequevar does not fully represent inducible macrolide resistance. Thus, we initiated a correlation study between genotypes and phenotypes. In total, 75 isolates from patients with skin and soft tissue infections were enrolled in the study. These strains were tested against 11 antimycobacterial agents using Sensitire RAPMYCO plates and the CLSI-recommended broth microdilution method. In order to analyze erm(41) and partial hsp65, rpoB, secA1, and rrl genes, bacterial genomic DNA was extracted from bacteria. The MEGA X software was used for phylogenetic analyses. The most active agents against most M. abscessus species were amikacin and tigecycline. Clarithromycin was effective toward M. abscessus subsp. massiliense and nearly all M. abscessus subsp. abscessus C28 sequevars. Two varieties of M. abscessus subsp. abscessus T28 sequevars did not represent inducible macrolide resistance. Most M. abscessus species showed intermediate susceptibility to cefoxitin and imipenem. Six additional agents were less effective against M. abscessus species. Following phylogenetic analyses, two outliers of M. abscessus subsp. abscessus T28 sequevars seem to represent no inducible macrolide resistance. In addition, we discovered genetic mosaicism of hsp65, rpoB, and secA1 in M. abscessus species was common. T28 sequevars of M. abscessus subsp. abscessus do not fully represent inducible macrolide resistance. The outlier of erm(41) phylogeny of the M. abscessus subsp. abscessus T28 sequevar is possibly due to macrolide susceptibility. Evaluation of the antimicrobial susceptibility of M. abscessus species is a reliable tool for assisting physicians in selecting the most effective antimycobacterial agent(s).

          IMPORTANCE Macrolides are the mainstays of the antimycobacterial regimens against Mycobacterium abscessus species (formerly Mycobacterium abscessus complex). erm(41) confers inducible macrolide resistance for M. abscessus subsp. bolletii strains, and the majority of M. abscessus subsp. abscessus T28 sequevars. Furthermore, the acquired macrolide resistance of M. abscessus species is due to a point mutation in rrl. However, not all M. abscessus subsp. abscessus T28 sequevars have inducible macrolide resistance. Exploration of the mechanism of macrolide resistance requires an understanding of genetic diversity. The genetic mosaicism of the erm(41), rpoB, hsp65, and secA1 genes within three subspecies of M. abscessus species is not uncommon. The T28 sequevar of erm(41) confers inducible macrolide resistance to the genetic mosaic strain. The development of new anti- M. abscessus species infection overcoming inducible macrolide resistance and/or acquired macrolide resistance is a crucial issue.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The neighbor-joining method: a new method for reconstructing phylogenetic trees.

              N Saitou, M Nei (1987)
              A new method called the neighbor-joining method is proposed for reconstructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs of operational taxonomic units (OTUs [= neighbors]) that minimize the total branch length at each stage of clustering of OTUs starting with a starlike tree. The branch lengths as well as the topology of a parsimonious tree can quickly be obtained by using this method. Using computer simulation, we studied the efficiency of this method in obtaining the correct unrooted tree in comparison with that of five other tree-making methods: the unweighted pair group method of analysis, Farris's method, Sattath and Tversky's method, Li's method, and Tateno et al.'s modified Farris method. The new, neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods.
                Bookmark

                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
                23 November 2022
                Nov-Dec 2022
                23 November 2022
                : 10
                : 6
                : e02749-22
                Affiliations
                [a ] Division of Urology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan
                [b ] Division of Infectious Diseases, Department of Internal Medicine, Linkou Chang Gung Memorial Hospitalgrid.413801.f, , Taoyuan City, Taiwan
                [c ] School of Medicine, Chang Gung Universitygrid.145695.a, , Taoyuan City, Taiwan
                [d ] Department of Internal Medicine, National Taiwan University Hospitalgrid.412094.a, , National Taiwan University College of Medicine, Taipei, Taiwan
                [e ] Section of Infectious Diseases, Department of Internal Medicine, Hualien Tzu Chi Hospital, Hualien, Taiwan
                [f ] Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospitalgrid.413801.f, , Taoyuan City, Taiwan
                [g ] Department of Medical Biotechnology and Laboratory Medicine, College of Medicine, Chang Gung Universitygrid.145695.a, , Taoyuan City, Taiwan
                [h ] Department of Pediatrics, Linkou Chang Gung Memorial Hospitalgrid.413801.f, , Taoyuan City, Taiwan
                [i ] Department of Dermatology, Linkou Chang Gung Memorial Hospitalgrid.413801.f, , Taoyuan City, Taiwan
                Tainan Hospital, Department of Health, Executive Yuan
                Author notes

                Bor-En Jong and Ting-Shu Wu contributed equally to this work. Author order was determined both alphabetically and in order of increasing seniority.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-6710-3432
                https://orcid.org/0000-0001-8922-397X
                https://orcid.org/0000-0003-0311-5148
                https://orcid.org/0000-0002-1692-1707
                Article
                02749-22 spectrum.02749-22
                10.1128/spectrum.02749-22
                9769998
                36416559
                edb7056b-c8c9-4318-a3dd-2d82337b3b20
                Copyright © 2022 Jong et al.

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

                History
                : 18 July 2022
                : 4 November 2022
                Page count
                supplementary-material: 0, Figures: 4, Tables: 2, Equations: 0, References: 30, Pages: 13, Words: 7392
                Funding
                Funded by: Chang Gung Medical Foundation, FundRef https://doi.org/10.13039/501100004606;
                Award ID: CMRPG3L0411-2
                Award Recipient :
                Funded by: Ministry of Science and Technology, Taiwan (MOST), FundRef https://doi.org/10.13039/501100004663;
                Award ID: 107-2314-B-182A-131-MY3
                Award Recipient :
                Funded by: Der-Ling Cheng Foundation;
                Award Recipient :
                Categories
                Research Article
                microbial-genetics, Microbial Genetics
                Custom metadata
                November/December 2022

                macrolide resistance,phylogenetic analysis,genetic mosaicism,antimycobacterial agents

                Comments

                Comment on this article