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      Emergence and Inter- and Intrahost Evolution of Pandrug-Resistant Klebsiella pneumoniae Coharboring tmexCD1-toprJ1, bla NDM-1, and bla KPC-2

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          ABSTRACT

          Klebsiella pneumoniae is capable of acquiring various exogenous genetic elements and subsequently conferring high antimicrobial resistance. Recently, a plasmid-mediated RND family multidrug efflux pump gene cluster, tmexCD1-toprJ1, was discovered in K. pneumoniae. In this study, we analyzed tigecycline-resistant K. pneumoniae isolates from patients from surveillance from 2017 to 2021. In addition to phenotype detection, including growth curves, plasmid transferability and stability, hypermucoviscosity, biofilm formation, and serum survival, by whole-genome sequencing, we analyzed the phylogenetic relationships of the isolates harboring tmexCD1-toprJ1 and discovered the composition of plasmids carrying tmexCD1-toprJ1. In total, we discovered that 12 tigecycline-resistant isolates from 5 patients possessed tmexCD1-toprJ1, designated sequence type 22 (ST22) and ST3691. An ST11 isolate harbored a partial tmexD1, and a complete toprJ1 ( tmexC1 was lost) was tigecycline sensitive. All the ST22 tigecycline-resistant isolates coharbored tmexCD1-toprJ1, bla NDM-1, and bla KPC-2. tmexCD1-toprJ1 was encoded by a novel IncU plasmid in ST22 and an IncFIB/HI1B plasmid in ST3691, which presented differences in mobility and stability. Interestingly, isolates from the same patients presented heteroresistance to tigecycline, not only among isolates from different specimens but also those from the same sample, which might be attributed to the differential expression of tmexCD1-toprJ1 due to the dynamic genetic heterogeneity caused by relocating tmexCD1-toprJ1 close to the replication origin of plasmid. Here, we reported the emergence of K. pneumoniae isolates coharboring tmexCD1-toprJ1, bla NDM-1, and bla KPC-2. The results highlight the impact of in vivo genetic heterogeneity of tmexCD1-toprJ1-carrying elements on the in vivo variation of tigecycline resistance, which might have notable influences on antimicrobial treatment.

          IMPORTANCE Pandrug-resistant (PDR) Klebsiella pneumoniae poses a great challenge to public health, and tigecycline is an essential choice for antimicrobial treatment. In this study, we reported the emergence of PDR K. pneumoniae coharboring tmexCD1-toprJ1, bla NDM-1, and bla KPC-2, which belongs to ST22 and ST3691. By whole-genome analysis, we reconstructed the evolutionary map of the ST22 ancestor to become the PDR superbug by acquiring multiple genetic elements encoding tmexCD1-toprJ1 or bla NDM-1. Importantly, the genetic contexts of tmexCD1-toprJ1 among the ST22 isolates are different and present with various mobilities and stabilities. Furthermore, we also discovered the heterogeneity of tigecycline resistance during long-term infection of ST22, which might be attributed to the differential expression of tmexCD1-toprJ1 due to the dynamic genetic heterogeneity caused by relocating tmexCD1-toprJ1 close to the replication origin of plasmid. This study tracks the inter- and intrahost microevolution of the superbug PDR K. pneumoniae and highlights the importance of timely monitoring of the variation of pathogens during antimicrobial treatment.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            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.
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              IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

              Abstract IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.
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                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
                31 January 2023
                Mar-Apr 2023
                31 January 2023
                : 11
                : 2
                : e02786-22
                Affiliations
                [a ] Department of Infectious Disease, Peking University Third Hospital, Beijing, China
                [b ] Center of Infectious Disease, Peking University Third Hospital, Beijing, China
                [c ] Qitan Technology Ltd., Chengdu, China
                [d ] Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, China
                [e ] Institute of Medical Technology, Peking University Health Science Center, Beijing, China
                [f ] Department of Laboratory Medicine, Peking University Third Hospital, Beijing, China
                Houston Methodist Hospital
                Author notes

                Chao Liu, Pengcheng Du, Ping Yang, and Jiajia Zheng contributed equally to this article. Author order was determined by drawing straws.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-5886-4264
                https://orcid.org/0000-0001-8783-5403
                Article
                02786-22 spectrum.02786-22
                10.1128/spectrum.02786-22
                10100677
                36719204
                fb110150-04ca-458c-8c50-bf27a1df190b
                Copyright © 2023 Liu et al.

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

                History
                : 20 July 2022
                : 9 January 2023
                Page count
                supplementary-material: 2, Figures: 6, Tables: 1, Equations: 0, References: 42, Pages: 15, Words: 7352
                Funding
                Funded by: Peking University Third Hospital (PUTH), FundRef https://doi.org/10.13039/501100009399;
                Award ID: BYSYDL2019007
                Award Recipient :
                Funded by: Beijing Municipal Health Commission (BMHB), FundRef https://doi.org/10.13039/501100005088;
                Award ID: 010071
                Award Recipient :
                Categories
                Research Article
                clinical-microbiology, Clinical Microbiology
                Custom metadata
                March/April 2023

                tmexcd1-toprj1,within-host evolution,heterogeneity,pandrug resistance,whole-genome sequencing

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