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Abstract The emergence of plasmid-mediated tigecycline-resistant strains is posing a serious threat to food safety and human health, which has attracted worldwide attention. The tigecycline resistance gene tet(X4) has been found in diverse sources, but the distribution of tet(X4) and its genetic background in the animal farming environment is not fully understood. Thirty-two tet(X)-positive Escherichia coli strains isolated from 159 samples collected from swine farms showed resistance to tigecycline. The tet(X)-positive strains were characterized by antimicrobial susceptibility testing, conjugation assay, PCR, Illumina and long-read Nanopore sequencing, and bioinformatics analysis. A total of 11 different sequence types (STs) were identified and most of them belonged to phylogroup A, except ST641. In total, 196 possible prophage sequences were identified and some of the prophage regions were found to carry resistance genes, including tet(X4). Furthermore, our results showed possible correlations between CRISPR spacer sequences and serotypes or STs. The co-existence of tigecycline-resistant tet(A) variants and tet(X4) complicates the evolution of vital resistance genes in farming environments. Further, four reorganization plasmids carrying tet(X4) were observed, and the formation mechanism mainly involved homologous recombination. These findings contribute significantly to a better understanding of the diversity and complexity of tet(X4)-bearing plasmids, an emerging novel public health concern.
Pubmed ID: 34693904 RIS Download
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View all literature mentionsPublic archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource.
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