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

      Genetic diversity and characteristics of high-level tigecycline resistance Tet(X) in Acinetobacter 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

          Background

          The recent emergence and dissemination of high-level mobile tigecycline resistance Tet(X) challenge the clinical effectiveness of tigecycline, one of the last-resort therapeutic options for complicated infections caused by multidrug-resistant Gram-negative and Gram-positive pathogens. Although tet(X) has been found in various bacterial species, less is known about phylogeographic distribution and phenotypic variance of different genetic variants.

          Methods

          Herein, we conducted a multiregional whole-genome sequencing study of tet(X)-positive Acinetobacter isolates from human, animal, and their surrounding environmental sources in China. The molecular and enzymatic features of tet(X) variants were characterized by clonal expression, microbial degradation, reverse transcription, and gene transfer experiments, while the tet(X) genetic diversity and molecular evolution were explored by comparative genomic and Bayesian evolutionary analyses.

          Results

          We identified 193 tet(X)-positive isolates from 3846 samples, with the prevalence ranging from 2.3 to 25.3% in nine provinces in China. The tet(X) was broadly distributed in 12 Acinetobacter species, including six novel species firstly described here. Besides tet(X3) ( n = 188) and tet(X4) ( n = 5), two tet(X5) variants, tet(X5.2) ( n = 36) and tet(X5.3) ( n = 4), were also found together with tet(X3) or tet(X4) but without additive effects on tetracyclines. These tet(X)-positive Acinetobacter spp. isolates exhibited 100% resistance rates to tigecycline and tetracycline, as well as high minimum inhibitory concentrations to eravacycline (2–8 μg/mL) and omadacycline (8–16 μg/mL). Genetic analysis revealed that different tet(X) variants shared an analogous IS CR2-mediated transposon structure. The molecular evolutionary analysis indicated that Tet(X) variants likely shared the same common ancestor with the chromosomal monooxygenases that are found in environmental Flavobacteriaceae bacteria, but sequence divergence suggested separation ~ 9900 years ago (7887 BC), presumably associated with the mobilization of tet(X)-like genes through horizontal transfer.

          Conclusions

          Four tet(X) variants were identified in this study, and they were widely distributed in multiple Acinetobacter spp. strains from various ecological niches across China. Our research also highlighted the crucial role of IS CR2 in mobilizing tet(X)-like genes between different Acinetobacter species and explored the evolutionary history of Tet(X)-like monooxygenases. Further studies are needed to evaluate the clinical impact of these mobile tigecycline resistance genes.

          Supplementary information

          The online version contains supplementary material available at 10.1186/s13073-020-00807-5.

          Related collections

          Most cited references43

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

          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              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.
                Bookmark

                Author and article information

                Contributors
                jiansun@scau.edu.cn
                Liang.Chen@hmh-cdi.org
                lyh@scau.edu.cn
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                7 December 2020
                7 December 2020
                2020
                : 12
                : 111
                Affiliations
                [1 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, , South China Agricultural University, ; Guangzhou, China
                [2 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, Guangdong Laboratory for Lingnan Modern Agriculture, , South China Agricultural University, ; Guangzhou, China
                [3 ]GRID grid.20561.30, ISNI 0000 0000 9546 5767, Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, , South China Agricultural University, ; Guangzhou, China
                [4 ]Guangdong Enterprise Key Laboratory for Animal Health and Environmental Control, WENS Foodstuff Group Co Ltd, Xinxing, China
                [5 ]GRID grid.429392.7, ISNI 0000 0004 6010 5947, Center for Discovery and Innovation, , Hackensack Meridian Health, ; Nutley, NJ USA
                [6 ]GRID grid.470066.3, Intensive Care Unit, , Huizhou Municipal Central Hospital, ; Huizhou, China
                [7 ]GRID grid.412615.5, Department of Laboratory Medicine, , The First Affiliated Hospital of Sun Yat-sen University, ; Guangzhou, China
                [8 ]GRID grid.452666.5, ISNI 0000 0004 1762 8363, Department of Clinical Laboratory, , The Second Affiliated Hospital of Soochow University, ; Suzhou, China
                [9 ]GRID grid.263379.a, ISNI 0000 0001 2172 0072, Hackensack Meridian School of Medicine at Seton Hall University, ; Nutley, NJ USA
                Author information
                http://orcid.org/0000-0003-2915-2406
                Article
                807
                10.1186/s13073-020-00807-5
                7722449
                33287863
                5a8dfb82-ce71-4230-8a2e-06ae809bc837
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 15 July 2020
                : 12 November 2020
                Funding
                Funded by: National Key Research and Development Program of China
                Award ID: 2016YFD0501300
                Award Recipient :
                Funded by: Program for Innovative Research Team in the University of Ministry of Education of China
                Award ID: IRT_17R39
                Award Recipient :
                Funded by: Foundation for Innovation and Strengthening School Project of Guangdong, China
                Award ID: 2016KCXTD010
                Award Recipient :
                Funded by: Huizhou Science and Technology Plan (Medical and health) Project
                Award ID: 2020Y534
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01AI090155
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Molecular medicine
                tet(x),blandm-1,tigecycline resistance,iscr2,acinetobacter species,flavobacteriaceae bacteria,ecological niches

                Comments

                Comment on this article