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      Complete genetic characterization of carbapenem-resistant Acinetobacter johnsonii, co-producing NDM-1, OXA-58, and PER-1 in a patient source

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          Abstract

          The emergence of carbapenemase-producing Acinetobacter spp. has been widely reported and become a global threat. However, carbapenem-resistant A. johnsonii strains are relatively rare and without comprehensive genetic structure analysis, especially for isolates collected from human specimen. Here, one A. johnsonii AYTCM strain, co-producing NDM-1, OXA-58, and PER-1 enzymes, was isolated from sputum in China in 2018. Antimicrobial susceptibility testing showed that it was resistant to meropenem, imipenem, ceftazidime, ciprofloxacin, and cefoperazone/sulbactam. Whole-genome sequencing and bioinformatic analysis revealed that it possessed 11 plasmids. bla OXA-58 and bla PER-1 genes were located in the pAYTCM-1 plasmid. Especially, a complex class 1 integron consisted of a 5′ conserved segment (5′ CS) and 3′ CS, which was found to carry sul1, arr-3, qnrVC6 , and bla PER-1 cassettes. Moreover, the bla NDM-1 gene was located in 41,087 conjugative plasmids and was quite stable even after 70 passages under antibiotics-free conditions. In addition, six prophage regions were identified. Tracking of closely related plasmids in the public database showed that pAYTCM-1 was similar to pXBB1-9, pOXA23_010062, pOXA58_010030, and pAcsw19-2 plasmids, which were collected from the strains of sewage in China. Concerning the pAYTCM-3 plasmids, results showed that strains were collected from different sources and their hosts were isolated from various countries, such as China, USA, Japan, Brazil, and Mexico, suggesting that a wide spread occurred all over the world. In conclusion, early surveillance is warranted to avoid the extensive spread of this high-risk clone in the healthcare setting.

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          Most cited references41

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          fastp: an ultra-fast all-in-one FASTQ preprocessor

          Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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            QUAST: quality assessment tool for genome assemblies.

            Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers have been developed, but none is yet a recognized benchmark. Further, most existing methods for comparing assemblies are only applicable to new assemblies of finished genomes; the problem of evaluating assemblies of previously unsequenced species has not been adequately considered. Here, we present QUAST-a quality assessment tool for evaluating and comparing genome assemblies. This tool improves on leading assembly comparison software with new ideas and quality metrics. QUAST can evaluate assemblies both with a reference genome, as well as without a reference. QUAST produces many reports, summary tables and plots to help scientists in their research and in their publications. In this study, we used QUAST to compare several genome assemblers on three datasets. QUAST tables and plots for all of them are available in the Supplementary Material, and interactive versions of these reports are on the QUAST website. http://bioinf.spbau.ru/quast . Supplementary data are available at Bioinformatics online.
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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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                Author and article information

                Contributors
                Journal
                Front Cell Infect Microbiol
                Front Cell Infect Microbiol
                Front. Cell. Infect. Microbiol.
                Frontiers in Cellular and Infection Microbiology
                Frontiers Media S.A.
                2235-2988
                25 August 2023
                2023
                : 13
                : 1227063
                Affiliations
                [1] 1 Department of Pharmacy, Shaoxing Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University , Shaoxing, Zhejiang, China
                [2] 2 Department of Traditional Chinese Medicine, Hangzhou Linping District Hospital of Integrated Chinese and Western Medicine , Hangzhou, China
                [3] 3 Department of Clinical Laboratory, The People’s Hospital of Zhangqiu Area , Jinan, China
                [4] 4 School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University , Hangzhou, China
                [5] 5 Core Facility, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital , Quzhou, China
                [6] 6 Department of Clinical Laboratory, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital , Quzhou, China
                [7] 7 Department of Pharmacy, Jiaxing Hospital of Traditional Chinese Medicine , Jiaxing, China
                [8] 8 Department of Urology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital , Quzhou, China
                Author notes

                Edited by: Luis Esau Lopez Jacome, Instituto Nacional de Rehabilitación, Mexico

                Reviewed by: Ulises Garza-Ramos, National Institute of Public Health, Mexico; Jossue Mizael Ortiz-Álvarez, National Council of Science and Technology (CONACYT), Mexico

                *Correspondence: Junjie Ying, 652868133@ 123456qq.com ; Tianhong Ma, 15990312207@ 123456163.com

                †These authors have contributed equally to this work

                Article
                10.3389/fcimb.2023.1227063
                10486904
                37692162
                a8a2ed40-2df6-4018-b6fe-bb70b64ee172
                Copyright © 2023 Tian, Song, Ren, Huang, Wang, Fu, Zhao, Bai, Fan, Ma and Ying

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 May 2023
                : 31 July 2023
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 41, Pages: 12, Words: 4827
                Funding
                This work was supported by the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission (2023KY1270, 2022RC278); Natural Science Foundation of Zhejiang Province (LQ19H160002), Quzhou technology projects, China (2019K36); and Zhejiang Province Traditional Chinese Medicine Science and Technology Project (2023ZL729).
                Categories
                Cellular and Infection Microbiology
                Original Research
                Custom metadata
                Antibiotic Resistance and New Antimicrobial drugs

                Infectious disease & Microbiology
                acinetobacter johnsonii,carbapenem resistance,ndm-1,oxa-58,per-1,integron

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