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      The Evolutionary Trend and Genomic Features of an Emerging Lineage of Elizabethkingia anophelis Strains in Taiwan

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          ABSTRACT

          The incidence of Elizabethkingia anophelis bacteremia increased significantly in a tertiary hospital, Changhua Christian Hospital (CCH) since 2013. The infection density was 1.3 and 8.1 cases per 100,000 patient-days between 2005 and 2012 and 2013 and 2020, respectively ( P < 0.05). During an outbreak investigation, a specific lineage of E. anophelis strains was identified by the pulsed-field gel electrophoresis analysis. To evaluate the evolution of the specific E. anophelis lineage, whole-genome sequencing was performed, and unique genomic features (GRs) were determined by comparative genomic analysis. The specific E. anophelis lineage was novel compared to worldwide strains ever reported by cg-MLST phylogenic and whole-genome comparative analysis. Multiplex PCR using primers designed from unique GRs were performed for prevalence screening among isolates from the CCH and nationwide isolates from the Taiwan surveillance of Antimicrobial Resistance (TSAR) Program. The proportion of the specific E. anophelis lineage increased from 7.9% (3/38) during 2005-2012 to 89.2% (223/250) during 2013-2020 ( P < 0.05). Although E. anophelis usually confers resistance to multiple antibiotics with limited therapeutic options, the E. anophelis strains in the specific lineage had higher ciprofloxacin resistance (100% [226/226] versus 27.4% [17/62], P < 0.05) and was associated with a higher 14-day mortality rates (33.2% [37/226] versus 16.1% [10/62], P < 0.05) than other strains at CCH. A similarly increasing trend was also found in the national TSAR program during 2002-2018 ( p for trend <0.05). We concluded that a novel lineage of E. anophelis strains has emerged dominantly in Taiwan. The genomic features are important for further investigations of epidemiology, resistance, virulence, and appropriate treatment.

          IMPORTANCE Elizabethkingia anophelis is an emerging multidrug resistant pathogen caused several global outbreaks recently. E. anophelis was frequently misidentified as E. meningoseptica in the past by conventional culture methods; therefore, the prevalence was often underestimated. Through revised identification, an increasing trend of E. anophelis infection was noted in a tertiary hospital and a dominant lineage of strains was recognized by genotyping. To our best knowledge, the dominant lineage of E. anophelis is novel in comparison to other worldwide strains by whole-genome comparative analysis and several unique genomic regions were found. The whole-genome sequencing data also demonstrated multiple putative virulence factors and genes associated with multidrug resistance. In our study, we identified a specially evolved E. anophelis in Taiwan with increasing nationwide dominance. This study will assist in further epidemiology surveillance and developing corresponsive infection control policies to restrain it potential of global dissemination.

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          Identification of acquired antimicrobial resistance genes

          Objectives Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data. Methods We developed a web-based method, ResFinder that uses BLAST for identification of acquired antimicrobial resistance genes in whole-genome data. As input, the method can use both pre-assembled, complete or partial genomes, and short sequence reads from four different sequencing platforms. The method was evaluated on 1862 GenBank files containing 1411 different resistance genes, as well as on 23 de- novo-sequenced isolates. Results When testing the 1862 GenBank files, the method identified the resistance genes with an ID = 100% (100% identity) to the genes in ResFinder. Agreement between in silico predictions and phenotypic testing was found when the method was further tested on 23 isolates of five different bacterial species, with available phenotypes. Furthermore, ResFinder was evaluated on WGS chromosomes and plasmids of 30 isolates. Seven of these isolates were annotated to have antimicrobial resistance, and in all cases, annotations were compatible with the ResFinder results. Conclusions A web server providing a convenient way of identifying acquired antimicrobial resistance genes in completely sequenced isolates was created. ResFinder can be accessed at www.genomicepidemiology.org. ResFinder will continuously be updated as new resistance genes are identified.
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            BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons

            Background Visualisation of genome comparisons is invaluable for helping to determine genotypic differences between closely related prokaryotes. New visualisation and abstraction methods are required in order to improve the validation, interpretation and communication of genome sequence information; especially with the increasing amount of data arising from next-generation sequencing projects. Visualising a prokaryote genome as a circular image has become a powerful means of displaying informative comparisons of one genome to a number of others. Several programs, imaging libraries and internet resources already exist for this purpose, however, most are either limited in the number of comparisons they can show, are unable to adequately utilise draft genome sequence data, or require a knowledge of command-line scripting for implementation. Currently, there is no freely available desktop application that enables users to rapidly visualise comparisons between hundreds of draft or complete genomes in a single image. Results BLAST Ring Image Generator (BRIG) can generate images that show multiple prokaryote genome comparisons, without an arbitrary limit on the number of genomes compared. The output image shows similarity between a central reference sequence and other sequences as a set of concentric rings, where BLAST matches are coloured on a sliding scale indicating a defined percentage identity. Images can also include draft genome assembly information to show read coverage, assembly breakpoints and collapsed repeats. In addition, BRIG supports the mapping of unassembled sequencing reads against one or more central reference sequences. Many types of custom data and annotations can be shown using BRIG, making it a versatile approach for visualising a range of genomic comparison data. BRIG is readily accessible to any user, as it assumes no specialist computational knowledge and will perform all required file parsing and BLAST comparisons automatically. Conclusions There is a clear need for a user-friendly program that can produce genome comparisons for a large number of prokaryote genomes with an emphasis on rapidly utilising unfinished or unassembled genome data. Here we present BRIG, a cross-platform application that enables the interactive generation of comparative genomic images via a simple graphical-user interface. BRIG is freely available for all operating systems at http://sourceforge.net/projects/brig/.
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              IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets

              Abstract IslandViewer (http://www.pathogenomics.sfu.ca/islandviewer/) is a widely-used webserver for the prediction and interactive visualization of genomic islands (GIs, regions of probable horizontal origin) in bacterial and archaeal genomes. GIs disproportionately encode factors that enhance the adaptability and competitiveness of the microbe within a niche, including virulence factors and other medically or environmentally important adaptations. We report here the release of IslandViewer 4, with novel features to accommodate the needs of larger-scale microbial genomics analysis, while expanding GI predictions and improving its flexible visualization interface. A user management web interface as well as an HTTP API for batch analyses are now provided with a secured authentication to facilitate the submission of larger numbers of genomes and the retrieval of results. In addition, IslandViewer's integrated GI predictions from multiple methods have been improved and expanded by integrating the precise Islander method for pre-computed genomes, as well as an updated IslandPath-DIMOB for both pre-computed and user-supplied custom genome analysis. Finally, pre-computed predictions including virulence factors and antimicrobial resistance are now available for 6193 complete bacterial and archaeal strains publicly available in RefSeq. IslandViewer 4 provides key enhancements to facilitate the analysis of GIs and better understand their role in the evolution of successful environmental microbes and pathogens.
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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
                19 January 2022
                Jan-Feb 2022
                19 January 2022
                : 10
                : 1
                : e01682-21
                Affiliations
                [a ] Department of Internal Medicine, Changhua Christian Hospitalgrid.413814.b, , Changhua County, Taiwan
                [b ] Ph.D. Program in Medical Biotechnology, National Chung Hsing Universitygrid.260542.7, , Taichung City, Taiwan
                [c ] Institute of Genomics and Bioinformatics, National Chung Hsing Universitygrid.260542.7, , Taichung City, Taiwan
                [d ] Department of Laboratory Medicine, Changhua Christian Hospitalgrid.413814.b, , Changhua County, Taiwan
                [e ] Department of Clinical Pathology and Laboratory Medicine, Taichung Tzu Chi Hospital, Taichung City, Taiwan
                [f ] Biotechnology Center, National Chung Hsing Universitygrid.260542.7, , Taichung City, Taiwan
                [g ] Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County, Taiwan
                Forschungszentrum Jülich GmbH
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1337-4127
                Article
                01682-21 spectrum.01682-21
                10.1128/spectrum.01682-21
                8768576
                35044198
                171bc47a-b552-4dc5-95f8-911f7096df1f
                Copyright © 2022 Lee et al.

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

                History
                : 24 September 2021
                : 30 December 2021
                Page count
                supplementary-material: 1, Figures: 4, Tables: 4, Equations: 0, References: 40, Pages: 11, Words: 6381
                Funding
                Funded by: Ministry of Science and Technology, Taiwan (MOST), FundRef https://doi.org/10.13039/501100004663;
                Award ID: MOST107-2320-B-005-006
                Award Recipient :
                Funded by: Ministry of Science and Technology, Taiwan (MOST), FundRef https://doi.org/10.13039/501100004663;
                Award ID: MOST-109-2311-B-005-008
                Award Recipient :
                Categories
                Research Article
                bacteriology, Bacteriology
                Custom metadata
                January/February 2022

                elizabethkingia species,multidrug resistance,nosocomial infection,comparative genomics

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