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      Comprehensive Genomic Investigation of Tigecycline Resistance Gene tet(X4)-Bearing Strains Expanding among Different Settings

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      a , b , , a , a , a , a , b , c , d , a ,
      Microbiology Spectrum
      American Society for Microbiology
      tet(X4), bacteria, plasmids, food safety, genomics, tigecycline resistance

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          ABSTRACT

          The emergence of plasmid-mediated tigecycline resistance genes has attracted a great deal of attention globally. Currently, no comprehensive in-depth genomic epidemiology study of tet(X4)-bearing pathogens present of pork origin as the One Health approach has been performed. Herein, 139 fresh pork samples were collected from multiple regions in China and 58 tet(X4)-positive strains were identified. The tet(X4) gene mainly distributed in Escherichia coli ( n = 55). Besides, 4 novel tet(X4)-positive bacterial species Klebsiella pneumoniae ( n = 2), Klebsiella quasipneumoniae ( n = 1), Citrobacter braakii ( n = 1) and Citrobacter freundii ( n = 1) were first characterized here. Four different core tet(X4)-bearing genetic environments and five types of tet(X4)-bearing tandem duplications were discovered among 58 strains. The results of the phylogenetic tree showed that there was some correlation between E. coli strains from pork, human, pig farms, and slaughterhouses. A total of seven types of plasmid replicons were found in tet(X4)-positive plasmids, among which multireplicon plasmids were observed. Notably, two tet(X4)-positive fusion plasmids pCSZ11R (IncX1-IncFIA-IncFIB-IncFIC) and pCSX5G-tetX4 (IncX1-IncFII-IncFIA) were formed by IS 26 in the hot spot. Besides, six samples were identified to harbor two different tet(X4)-bearing strains. More interestingly, the absolute quantitative results showed that the expression levels of tet(X4) between different strains with different tet(X4) copies were approximate. In this study, the genetic environment of tet(X4)-positive plasmids containing different plasmid replicons was analyzed to provide a basis for the further development of effective control measures. It is also highlighted that animal-borne tet(X4)-bearing pathogens incur a transmission risk to consumed food. Therefore, there is an urgent need for large-scale monitoring as well as the development of effective control measures.

          IMPORTANCE Tigecycline was considered the last-line drug against serious infections caused by multidrug-resistant Gram-negative bacteria. However, the plasmid-mediated tigecycline resistance gene tet(X) has been widely reported in different sources of Enterobacterales and Acinetobacter in China. China is one of the largest pig-producing nations in the world, and in-depth investigation of gene in pork is vital to figure out the fundamental dissemination of these genes and set up a reasonable control framework. In this study, we conducted an in-depth and systematic analysis of the diversity of tet(X4)-positive plasmids and the genetic environment of tet(X4) contained in pork samples from multiple regions of China, providing a basis for further development of effective control measures. It is also highlighted that animal-borne tet(X4)-bearing pathogens incur a transmission risk to consumed food. Therefore, there is an urgent need for large-scale monitoring as well as the development of effective control measures.

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          Most cited references41

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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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            Assembly of long, error-prone reads using repeat graphs

            Accurate genome assembly is hampered by repetitive regions. Although long single molecule sequencing reads are better able to resolve genomic repeats than short-read data, most long-read assembly algorithms do not provide the repeat characterization necessary for producing optimal assemblies. Here, we present Flye, a long-read assembly algorithm that generates arbitrary paths in an unknown repeat graph, called disjointigs, and constructs an accurate repeat graph from these error-riddled disjointigs. We benchmark Flye against five state-of-the-art assemblers and show that it generates better or comparable assemblies, while being an order of magnitude faster. Flye nearly doubled the contiguity of the human genome assembly (as measured by the NGA50 assembly quality metric) compared with existing assemblers.
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              Roary: rapid large-scale prokaryote pan genome analysis

              Summary: A typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and accessory genes. Roary makes construction of the pan genome of thousands of prokaryote samples possible on a standard desktop without compromising on the accuracy of results. Using a single CPU Roary can produce a pan genome consisting of 1000 isolates in 4.5 hours using 13 GB of RAM, with further speedups possible using multiple processors. Availability and implementation: Roary is implemented in Perl and is freely available under an open source GPLv3 license from http://sanger-pathogens.github.io/Roary Contact: roary@sanger.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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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
                22 December 2021
                Nov-Dec 2021
                22 December 2021
                : 9
                : 3
                : e01633-21
                Affiliations
                [a ] Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou Universitygrid.268415.c, , Yangzhou, People’s Republic of China
                [b ] Institute of Comparative Medicine, Yangzhou Universitygrid.268415.c, , Yangzhou, People’s Republic of China
                [c ] Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China
                [d ] Key Laboratory of Food Safety Risk Assessment, National Health Commission of the People’s Republic of China, China National Center for Food Safety Risk Assessment, Beijing, People’s Republic of China
                The Pennsylvania State University
                Author notes

                Ruichao Li and Yan Li contributed equally to this article. Author order is determined by alphabetical order.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-8333-9891
                https://orcid.org/0000-0002-9622-6471
                Article
                01633-21 spectrum.01633-21
                10.1128/spectrum.01633-21
                8694195
                34937176
                ec8e17be-3a1b-4796-b247-a10975719eec
                Copyright © 2021 Li et al.

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

                History
                : 20 September 2021
                : 17 November 2021
                Page count
                supplementary-material: 1, Figures: 7, Tables: 0, Equations: 0, References: 43, Pages: 13, Words: 6663
                Funding
                Funded by: Jiangsu Agricultural Science and Technology Innovation Fund (JASTIF), FundRef https://doi.org/10.13039/100007540;
                Award ID: CX(21)3138
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), FundRef https://doi.org/10.13039/501100001809;
                Award ID: 31872523
                Award ID: 318725236
                Award Recipient :
                Categories
                Research Article
                antimicrobial-chemotherapy, Antimicrobial Chemotherapy
                Custom metadata
                November/December 2021

                tet(x4),bacteria,plasmids,food safety,genomics,tigecycline resistance

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