201
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Pasquali F, Do Valle I, Palma F, Remondini D, Manfreda G, Castellani G, Hendriksen RS, De Cesare A. Application of different DNA extraction procedures, library preparation protocols and sequencing platforms: impact on sequencing results. Heliyon 2019; 5:e02745. [PMID: 31720479 PMCID: PMC6838873 DOI: 10.1016/j.heliyon.2019.e02745] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 04/01/2019] [Accepted: 10/25/2019] [Indexed: 01/22/2023] Open
Abstract
In this study three DNA extraction procedures, two library preparation protocols and two sequencing platforms were applied to analyse six bacterial cultures and their corresponding DNA obtained as part of a proficiency test. The impact of each variable on sequencing results was assessed using the following parameters: reads quality, assembly and alignment statistics; number of single nucleotide polymorphisms (SNPs), detected applying assembly- and alignment-based strategies; antimicrobial resistance genes (ARGs), identified on de novo assemblies of all sequenced genomes. The investigated nucleic acid extraction procedures, library preparation kits and sequencing platforms do not significantly affect de novo assembly statistics and number of SNPs and ARGs. The only exception was observed for two duplicates, which were associated to one PCR-based library preparation kit. Results from this comparative study can support researchers in the choice toward the available pre-sequencing and sequencing options, and might suggest further comparisons to be performed.
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Affiliation(s)
- F Pasquali
- Department of Food and Agricultural Sciences, Alma Mater Studiorum-University of Bologna, via del Florio 2, Ozzano dell'Emilia, 40064 Italy
| | - I Do Valle
- Department of Physics, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115-5000, USA
| | - F Palma
- Department of Food and Agricultural Sciences, Alma Mater Studiorum-University of Bologna, via del Florio 2, Ozzano dell'Emilia, 40064 Italy
| | - D Remondini
- Department of Physics and Astronomy, Alma Mater Studiorum-University of Bologna, viale Berti Pichat 6/2, 40127, Bologna, Italy
| | - G Manfreda
- Department of Food and Agricultural Sciences, Alma Mater Studiorum-University of Bologna, via del Florio 2, Ozzano dell'Emilia, 40064 Italy
| | - G Castellani
- Department of Physics and Astronomy, Alma Mater Studiorum-University of Bologna, viale Berti Pichat 6/2, 40127, Bologna, Italy
| | - R S Hendriksen
- Technical University of Denmark, Kemitorvet, Kgs. Lyngby, 2800, Denmark
| | - A De Cesare
- Department of Food and Agricultural Sciences, Alma Mater Studiorum-University of Bologna, via del Florio 2, Ozzano dell'Emilia, 40064 Italy
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202
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Rhee C, Kharod GA, Schaad N, Furukawa NW, Vora NM, Blaney DD, Crump JA, Clarke KR. Global knowledge gaps in acute febrile illness etiologic investigations: A scoping review. PLoS Negl Trop Dis 2019; 13:e0007792. [PMID: 31730635 PMCID: PMC6881070 DOI: 10.1371/journal.pntd.0007792] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 11/27/2019] [Accepted: 09/18/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Acute febrile illness (AFI), a common reason for people seeking medical care globally, represents a spectrum of infectious disease etiologies with important variations geographically and by population. There is no standardized approach to conducting AFI etiologic investigations, limiting interpretation of data in a global context. We conducted a scoping review to characterize current AFI research methodologies, identify global research gaps, and provide methodological research standardization recommendations. METHODOLOGY/FINDINGS Using pre-defined terms, we searched Medline, Embase, and Global Health, for publications from January 1, 2005-December 31, 2017. Publications cited in previously published systematic reviews and an online study repository of non-malarial febrile illness etiologies were also included. We screened abstracts for publications reporting on human infectious disease, aimed at determining AFI etiology using laboratory diagnostics. One-hundred ninety publications underwent full-text review, using a standardized tool to collect data on study characteristics, methodology, and laboratory diagnostics. AFI case definitions between publications varied: use of self-reported fever as part of case definitions (28%, 53/190), fever cut-off value (38·0°C most commonly used: 45%, 85/190), and fever measurement site (axillary most commonly used: 19%, 36/190). Eighty-nine publications (47%) did not include exclusion criteria, and inclusion criteria in 13% (24/190) of publications did not include age group. No publications included study settings in Southern Africa, Micronesia & Polynesia, or Central Asia. We summarized standardized reporting practices, specific to AFI etiologic investigations that would increase inter-study comparability. CONCLUSIONS Wider implementation of standardized AFI reporting methods, with multi-pathogen disease detection, could improve comparability of study findings, knowledge of the range of AFI etiologies, and their contributions to the global AFI burden. These steps can guide resource allocation, strengthen outbreak detection and response, target prevention efforts, and improve clinical care, especially in resource-limited settings where disease control often relies on empiric treatment. PROSPERO: CRD42016035666.
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Affiliation(s)
- Chulwoo Rhee
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Grishma A. Kharod
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Nicolas Schaad
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Nathan W. Furukawa
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Neil M. Vora
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - David D. Blaney
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Disease, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - John A. Crump
- Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, North Carolina, United States of America
- Centre for International Health, University of Otago, New Zealand
| | - Kevin R. Clarke
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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203
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Abbasi I, Nasereddin A, Warburg A. Development of a next generation DNA sequencing-based multi detection assay for detecting and identifying Leishmania parasites, blood sources, plant meals and intestinal microbiome in phlebotomine sand flies. Acta Trop 2019; 199:105101. [PMID: 31361989 DOI: 10.1016/j.actatropica.2019.105101] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 07/17/2019] [Accepted: 07/17/2019] [Indexed: 02/06/2023]
Abstract
Leishmaniasis is a disease caused by Leishmania parasites transmitted by phlebotomine sand flies (Diptera: Psychodidae). Human infections with different Leishmania species cause characteristic clinical manifestations; cutaneous or visceral leishmaniasis. Here we describe the development and application of a Miseq Next GenerationSequencing (NGS)-based Multi Detection Assay (MDA) designed to characterize metagenomics parameters pertinent to the sand fly vectors which may affect their vectorial capacity for Leishmania. For this purpose, we developed a MDA by which, DNA fragments were amplified through polymerase chain reactions (PCR) and then sequenced by MiSeq/NGS. PCR amplification was achieved using some published and some new primers designed specifically for identifying Leishmania spp. (ITS1), sand fly spp. (cytochrome oxidase I), vertebrate blood (Cytochrome b), plant DNA ribulose-1,5-bisphosphate carboxylase large subunit gene (rbcL), and prokaryotic micobiome (16 s rRNA). This MDA/NGS analysis was performed on two species of wild-caught sand flies that transmit different Leishmania spp. in two ecologically distinct, but geographically neighboring locations. The results were analyzed to identify, quantitate and correlate the measured parameters in order to assess their putative importance in the transmission dynamics of leishmaniasis.
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Affiliation(s)
- Ibrahim Abbasi
- Department of Microbiology and Molecular Genetics, The Institute for Medical Research Israel-Canada (IMRIC), The Kuvin Centre for the Study of Infectious and Tropical Diseases, The Faculty of Medicine, The Hebrew University of Jerusalem, 91120, Israel.
| | - Abdelmajeed Nasereddin
- The Genomics Applications Laboratory, The Core Research Facility, The Faculty of Medicine, The Hebrew University of Jerusalem, 91120, Israel
| | - Alon Warburg
- Department of Microbiology and Molecular Genetics, The Institute for Medical Research Israel-Canada (IMRIC), The Kuvin Centre for the Study of Infectious and Tropical Diseases, The Faculty of Medicine, The Hebrew University of Jerusalem, 91120, Israel
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204
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Tedersoo L, Anslan S. Towards PacBio-based pan-eukaryote metabarcoding using full-length ITS sequences. ENVIRONMENTAL MICROBIOLOGY REPORTS 2019; 11:659-668. [PMID: 31219680 DOI: 10.1111/1758-2229.12776] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 06/14/2019] [Indexed: 05/03/2023]
Abstract
Development of high-throughput sequencing techniques has greatly benefited our understanding about microbial ecology, yet the methods producing short reads suffer from species-level resolution and uncertainty of identification. Here, we optimize Pacific Biosciences-based metabarcoding protocols covering the internal transcribed spacer (ITS region) and partial small subunit of the rRNA gene for species-level identification of all eukaryotes, with a specific focus on Fungi (including Glomeromycota) and Stramenopila (particularly Oomycota). Based on tests on composite soil samples and mock communities, we propose best suitable degenerate primers, ITS9munngs + ITS4ngsUni for eukaryotes and selected groups therein and discuss the pros and cons of long read-based identification of eukaryotes.
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Affiliation(s)
- Leho Tedersoo
- Institute of Ecology and Earth Sciences, University of Tartu, Estonia
| | - Sten Anslan
- Zoological Institute, Technische Universität Braunschweig, Mendelssohnstrasse 4, 38106, Braunschweig, Germany
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205
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Rice A, Del Rio Hernandez A. The Mutational Landscape of Pancreatic and Liver Cancers, as Represented by Circulating Tumor DNA. Front Oncol 2019; 9:952. [PMID: 31608239 PMCID: PMC6769086 DOI: 10.3389/fonc.2019.00952] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 09/09/2019] [Indexed: 02/06/2023] Open
Abstract
The mutational landscapes of pancreatic and liver cancers share many common genetic alterations which drive cancer progression. However, these mutations do not occur in all cases of these diseases, and this tumoral heterogeneity impedes diagnosis, prognosis, and therapeutic development. One minimally invasive method for the evaluation of tumor mutations is the analysis of circulating tumor DNA (ctDNA), released through apoptosis, necrosis, and active secretion by tumor cells into various body fluids. By observing mutations in those genes which promote transformation by controlling the cell cycle and oncogenic signaling pathways, a representation of the mutational profile of the tumor is revealed. The analysis of ctDNA is a promising technique for investigating these two gastrointestinal cancers, as many studies have reported on the accuracy of ctDNA assessment for diagnosis and prognosis using a variety of techniques.
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Affiliation(s)
- Alistair Rice
- Cellular and Molecular Biomechanics Laboratory, Department of Bioengineering, Faculty of Engineering, Imperial College London, South Kensington Campus, London, United Kingdom
| | - Armando Del Rio Hernandez
- Cellular and Molecular Biomechanics Laboratory, Department of Bioengineering, Faculty of Engineering, Imperial College London, South Kensington Campus, London, United Kingdom
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206
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Gargis AS, Cherney B, Conley AB, McLaughlin HP, Sue D. Rapid Detection of Genetic Engineering, Structural Variation, and Antimicrobial Resistance Markers in Bacterial Biothreat Pathogens by Nanopore Sequencing. Sci Rep 2019; 9:13501. [PMID: 31534162 PMCID: PMC6751186 DOI: 10.1038/s41598-019-49700-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 08/27/2019] [Indexed: 01/10/2023] Open
Abstract
Widespread release of Bacillus anthracis (anthrax) or Yersinia pestis (plague) would prompt a public health emergency. During an exposure event, high-quality whole genome sequencing (WGS) can identify genetic engineering, including the introduction of antimicrobial resistance (AMR) genes. Here, we developed rapid WGS laboratory and bioinformatics workflows using a long-read nanopore sequencer (MinION) for Y. pestis (6.5 h) and B. anthracis (8.5 h) and sequenced strains with different AMR profiles. Both salt-precipitation and silica-membrane extracted DNA were suitable for MinION WGS using both rapid and field library preparation methods. In replicate experiments, nanopore quality metrics were defined for genome assembly and mutation analysis. AMR markers were correctly detected and >99% coverage of chromosomes and plasmids was achieved using 100,000 raw sequencing reads. While chromosomes and large and small plasmids were accurately assembled, including novel multimeric forms of the Y. pestis virulence plasmid, pPCP1, MinION reads were error-prone, particularly in homopolymer regions. MinION sequencing holds promise as a practical, front-line strategy for on-site pathogen characterization to speed the public health response during a biothreat emergency.
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Affiliation(s)
- Amy S Gargis
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
- Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
| | - Blake Cherney
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Andrew B Conley
- IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia, USA
| | - Heather P McLaughlin
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - David Sue
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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207
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Nomoto Y, Kubota Y, Ohnishi Y, Kasahara K, Tomita A, Oshime T, Yamashita H, Fahmi M, Ito M. Gene Cascade Finder: A tool for identification of gene cascades and its application in Caenorhabditis elegans. PLoS One 2019; 14:e0215187. [PMID: 31504044 PMCID: PMC6736238 DOI: 10.1371/journal.pone.0215187] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 08/06/2019] [Indexed: 11/24/2022] Open
Abstract
Obtaining a comprehensive understanding of the gene regulatory networks, or gene cascades, involved in cell fate determination and cell lineage segregation in Caenorhabditis elegans is a long-standing challenge. Although RNA-sequencing (RNA-Seq) is a promising technique to resolve these questions, the bioinformatics tools to identify associated gene cascades from RNA-Seq data remain inadequate. To overcome these limitations, we developed Gene Cascade Finder (GCF) as a novel tool for building gene cascades by comparison of mutant and wild-type RNA-Seq data along with integrated information of protein-protein interactions, expression timing, and domains. Application of GCF to RNA-Seq data confirmed that SPN-4 and MEX-3 regulate the canonical Wnt pathway during embryonic development. Moreover, lin-35, hsp-3, and gpa-12 were found to be involved in MEX-1-dependent neurogenesis, and MEX-3 was found to control the gene cascade promoting neurogenesis through lin-35 and apl-1. Thus, GCF could be a useful tool for building gene cascades from RNA-Seq data.
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Affiliation(s)
- Yusuke Nomoto
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Yukihiro Kubota
- Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Yuto Ohnishi
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Kota Kasahara
- Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Aimi Tomita
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Takehiro Oshime
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Hiroki Yamashita
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Muhamad Fahmi
- Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
| | - Masahiro Ito
- Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
- Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga, Japan
- * E-mail:
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208
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The importance of integrating genetic strain information for managing cases of Shiga toxin-producing E. coli infection. Epidemiol Infect 2019; 147:e264. [PMID: 31496452 PMCID: PMC6805796 DOI: 10.1017/s0950268819001602] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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209
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Yu X, Jiang W, Shi Y, Ye H, Lin J. Applications of sequencing technology in clinical microbial infection. J Cell Mol Med 2019; 23:7143-7150. [PMID: 31475453 PMCID: PMC6815769 DOI: 10.1111/jcmm.14624] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 07/25/2019] [Indexed: 12/29/2022] Open
Abstract
Infectious diseases are a type of disease caused by pathogenic microorganisms. Although the discovery of antibiotics changed the treatment of infectious diseases and reduced the mortality of bacterial infections, resistant bacterial strains have emerged. Anti‐infective therapy based on aetiological evidence is the gold standard for clinical treatment, but the time lag and low positive culture rate of traditional methods of pathogen diagnosis leads to relative difficulty in obtaining the evidence of pathogens. Compared with traditional methods of pathogenic diagnosis, next‐generation and third‐generation sequencing technologies have many advantages in the detection of pathogenic microorganisms. In this review, we mainly introduce recent progress in research on pathogenic diagnostic technology and the applications of sequencing technology in the diagnosis of pathogenic microorganisms. This review provides new insights into the application of sequencing technology in the clinical diagnosis of microorganisms.
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Affiliation(s)
- Xiaoling Yu
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Wenqian Jiang
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Yang Shi
- Institute of Apply Genomics, Fuzhou University, Fuzhou, China
| | - Hanhui Ye
- Department of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China
| | - Jun Lin
- Institute of Apply Genomics, Fuzhou University, Fuzhou, China.,School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.,Fujian Key Laboratory of Marine Enzyme Engineering, Fuzhou University, Fuzhou, China
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210
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Grädel C, Terrazos Miani MA, Barbani MT, Leib SL, Suter-Riniker F, Ramette A. Rapid and Cost-Efficient Enterovirus Genotyping from Clinical Samples Using Flongle Flow Cells. Genes (Basel) 2019; 10:genes10090659. [PMID: 31470607 PMCID: PMC6770998 DOI: 10.3390/genes10090659] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 08/21/2019] [Accepted: 08/26/2019] [Indexed: 01/22/2023] Open
Abstract
Enteroviruses affect millions of people worldwide and are of significant clinical importance. The standard method for enterovirus identification and genotyping still relies on Sanger sequencing of short diagnostic amplicons. In this study, we assessed the feasibility of nanopore sequencing using the new flow cell “Flongle” for fast, cost-effective, and accurate genotyping of human enteroviruses from clinical samples. PCR amplification of partial VP1 gene was performed from multiple patient samples, which were multiplexed together after barcoding PCR and sequenced multiple times on Flongle flow cells. The nanopore consensus sequences obtained from mapping reads to a reference database were compared to their Sanger sequence counterparts. Using clinical specimens sampled over different years, we were able to correctly identify enterovirus species and genotypes for all tested samples, even when doubling the number of barcoded samples on one flow cell. Average sequence identity across sequencing runs was >99.7%. Phylogenetic analysis showed that the consensus sequences achieved with Flongle delivered accurate genotyping. We conclude that the new Flongle-based assay with its fast turnover time, low cost investment, and low cost per sample represents an accurate, reproducible, and cost-effective platform for enterovirus identification and genotyping.
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Affiliation(s)
- Carole Grädel
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, CH-3012 Bern, Switzerland
| | | | - Maria Teresa Barbani
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
| | - Stephen L Leib
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland
| | | | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, CH-3012 Bern, Switzerland.
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211
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Seth-Smith HMB, Bonfiglio F, Cuénod A, Reist J, Egli A, Wüthrich D. Evaluation of Rapid Library Preparation Protocols for Whole Genome Sequencing Based Outbreak Investigation. Front Public Health 2019; 7:241. [PMID: 31508405 PMCID: PMC6719548 DOI: 10.3389/fpubh.2019.00241] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 08/12/2019] [Indexed: 12/18/2022] Open
Abstract
Whole genome sequencing (WGS) has become the new gold standard for bacterial outbreak investigation, due to the high resolution available for typing. While sequencing is currently predominantly performed on Illumina devices, the preceding library preparation can be performed using various protocols. Enzymatic fragmentation library preparation protocols are fast, have minimal hands-on time, and work with small quantities of DNA. The aim of our study was to compare three library preparation protocols for molecular typing: Nextera XT (Illumina); Nextera Flex (Illumina); and QIAseq FX (Qiagen). We selected 12 ATCC strains from human Gram-positive and Gram-negative pathogens with %G+C-content ranging from 27% (Fusobacterium nucleatum) to 73% (Micrococcus luteus), each having a high quality complete genome assembly available, to allow in-depth analysis of the resulting Illumina sequence data quality. Additionally, we selected isolates from previously analyzed cases of vancomycin-resistant Enterococcus faecium (VRE) (n = 7) and a local outbreak of Klebsiella aerogenes (n = 5). The number of protocol steps and time required were compared, in order to test the suitability for routine laboratory work. Data analyses were performed with standard tools commonly used in outbreak situations: Ridom SeqSphere+ for cgMLST; CLC genomics workbench for SNP analysis; and open source programs. Nextera Flex and QIAseq FX were found to be less sensitive than Nextera XT to variable %G+C-content, resulting in an almost uniform distribution of read-depth. Therefore, low coverage regions are reduced to a minimum resulting in a more complete representation of the genome. Thus, with these two protocols, more alleles were detected in the cgMLST analysis, producing a higher resolution of closely related isolates. Furthermore, they result in a more complete representation of accessory genes. In particular, the high data quality and relative simplicity of the workflow of Nextera Flex stood out in this comparison. This thorough comparison within an ISO/IEC 17025 accredited environment will be of interest to those aiming to optimize their clinical microbiological genome sequencing.
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Affiliation(s)
- Helena M B Seth-Smith
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.,Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.,DBM Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Ferdinando Bonfiglio
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.,Personalized Health Basel, University of Basel, Basel, Switzerland
| | - Aline Cuénod
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.,Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Josiane Reist
- Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Adrian Egli
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.,Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Daniel Wüthrich
- Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.,Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.,DBM Bioinformatics Core Facility, SIB Swiss Institute of Bioinformatics, Basel, Switzerland
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212
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Van Goethem N, Descamps T, Devleesschauwer B, Roosens NHC, Boon NAM, Van Oyen H, Robert A. Status and potential of bacterial genomics for public health practice: a scoping review. Implement Sci 2019; 14:79. [PMID: 31409417 PMCID: PMC6692930 DOI: 10.1186/s13012-019-0930-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 07/26/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) is increasingly being translated into routine public health practice, affecting the surveillance and control of many pathogens. The purpose of this scoping review is to identify and characterize the recent literature concerning the application of bacterial pathogen genomics for public health practice and to assess the added value, challenges, and needs related to its implementation from an epidemiologist's perspective. METHODS In this scoping review, a systematic PubMed search with forward and backward snowballing was performed to identify manuscripts in English published between January 2015 and September 2018. Included studies had to describe the application of NGS on bacterial isolates within a public health setting. The studied pathogen, year of publication, country, number of isolates, sampling fraction, setting, public health application, study aim, level of implementation, time orientation of the NGS analyses, and key findings were extracted from each study. Due to a large heterogeneity of settings, applications, pathogens, and study measurements, a descriptive narrative synthesis of the eligible studies was performed. RESULTS Out of the 275 included articles, 164 were outbreak investigations, 70 focused on strategy-oriented surveillance, and 41 on control-oriented surveillance. Main applications included the use of whole-genome sequencing (WGS) data for (1) source tracing, (2) early outbreak detection, (3) unraveling transmission dynamics, (4) monitoring drug resistance, (5) detecting cross-border transmission events, (6) identifying the emergence of strains with enhanced virulence or zoonotic potential, and (7) assessing the impact of prevention and control programs. The superior resolution over conventional typing methods to infer transmission routes was reported as an added value, as well as the ability to simultaneously characterize the resistome and virulome of the studied pathogen. However, the full potential of pathogen genomics can only be reached through its integration with high-quality contextual data. CONCLUSIONS For several pathogens, it is time for a shift from proof-of-concept studies to routine use of WGS during outbreak investigations and surveillance activities. However, some implementation challenges from the epidemiologist's perspective remain, such as data integration, quality of contextual data, sampling strategies, and meaningful interpretations. Interdisciplinary, inter-sectoral, and international collaborations are key for an appropriate genomics-informed surveillance.
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Affiliation(s)
- Nina Van Goethem
- Department of Epidemiology and public health, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
- Department of Epidemiology and Biostatistics, Institut de recherche expérimentale et clinique, Faculty of Public Health, Université catholique de Louvain, Clos Chapelle-aux-champs 30, 1200 Woluwe-Saint-Lambert, Belgium
| | - Tine Descamps
- Department of Epidemiology and public health, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
| | - Brecht Devleesschauwer
- Department of Epidemiology and public health, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
- Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
| | - Nancy H. C. Roosens
- Transversal Activities in Applied Genomics, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
| | - Nele A. M. Boon
- Department of Epidemiology and public health, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
| | - Herman Van Oyen
- Department of Epidemiology and public health, Sciensano, J. Wytsmanstraat 14, 1050 Brussels, Belgium
- Department of Public Health and Primary Care, Faculty of Medicine, Ghent University, De Pintelaan 185, 9000 Ghent, Belgium
| | - Annie Robert
- Department of Epidemiology and Biostatistics, Institut de recherche expérimentale et clinique, Faculty of Public Health, Université catholique de Louvain, Clos Chapelle-aux-champs 30, 1200 Woluwe-Saint-Lambert, Belgium
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213
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Guo W, Gao B, Li L, Gai W, Yang J, Zhang Y, Wang L. A community-acquired lung abscess attributable to odontogenic flora. Infect Drug Resist 2019; 12:2467-2470. [PMID: 31496760 PMCID: PMC6690595 DOI: 10.2147/idr.s218921] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 07/16/2019] [Indexed: 11/24/2022] Open
Abstract
A lung abscess is an infectious pulmonary disease characterized by pus-filled cavity formation and often an air-fluid level. In this article, we described an indolent community-acquired lung abscess suspected as a tumor previously. A 56-year-old male presented with cough and expectoration for 2 months and hemoptysis for 2 weeks. His physical examinations, whole blood count and C-reactive protein level were normal. The chest computed tomography (CT) scan showed a 40×38×39 mm high-density mass in the right upper pulmonary lobe, with irregular borders. The pathology of a CT-guided percutaneous needle aspiration biopsy showed numerous inflammatory cells and bacteria infiltration without tumor lesions. Bacteriological detection of lung tissue revealed the cause was odontogenic flora. A next-generation sequencing demonstrated the etiologic correlation between lung abscess and periodontitis. After a 2-month pathogen-directed oral antibiotics therapy combined with chlorhexidine gargle oral care, this patient showed a remarkable improvement. Periodontitis can be a cause of a lung abscess, which would be taken into account in the treatment regimes preventing infectious recurrence.
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Affiliation(s)
- Wenjia Guo
- Department of Pulmonary and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Bo Gao
- Department of Pulmonary and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Li Li
- Department of Pulmonary and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Wei Gai
- National Engineering Research Center for Beijing Biochip Technology, Beijing, People's Republic of China
| | - Jianghui Yang
- Department of Pathology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
| | - Yan Zhang
- National Engineering Research Center for Beijing Biochip Technology, Beijing, People's Republic of China
| | - Lijun Wang
- Clinical Research Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, People's Republic of China
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214
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Gołębiewski M, Tretyn A. Generating amplicon reads for microbial community assessment with next‐generation sequencing. J Appl Microbiol 2019; 128:330-354. [DOI: 10.1111/jam.14380] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/03/2019] [Accepted: 07/05/2019] [Indexed: 12/12/2022]
Affiliation(s)
- M. Gołębiewski
- Plant Physiology and Biotechnology Nicolaus Copernicus University Toruń Poland
- Centre for Modern Interdisciplinary Technologies Nicolaus Copernicus University Toruń Poland
| | - A. Tretyn
- Plant Physiology and Biotechnology Nicolaus Copernicus University Toruń Poland
- Centre for Modern Interdisciplinary Technologies Nicolaus Copernicus University Toruń Poland
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215
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Idelevich EA, Reischl U, Becker K. New Microbiological Techniques in the Diagnosis of Bloodstream Infections. DEUTSCHES ARZTEBLATT INTERNATIONAL 2019; 115:822-832. [PMID: 30678752 DOI: 10.3238/arztebl.2018.0822] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 10/04/2017] [Accepted: 10/12/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND When a bloodstream infection is suspected, the preliminary and definitive results of culture-based microbiological testing arrive too late to have any influence on the initial choice of empirical antibiotic treatment. METHODS This review is based on pertinent publications retrieved by a selective search of the literature and on the authors' clinical and scientific experience. RESULTS A number of technical advances now enable more rapid microbiological diagnosis of bloodstream infections. DNA- based techniques for the direct detection of pathogenic organisms in whole blood have not yet become established in routine use because of various limitations. On the other hand, matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry (MS) has become available for routine use in clinical laboratories and has markedly shortened the time to diagnosis after blood samples that have been cultured in automated blood-culture systems turn positive. Further developments of this technique now enable it to be used directly for blood cultures that have been flagged positive, as well as for subcultures that have been incubated for only a short time on a solid nutrient medium. The microbial biomass of the subculture can also be used in parallel for more rapid susceptibility testing with conventional methods, or, in future, with MALDI-TOF MS. CONCLUSION The potential of all of these new techniques will only be realizable in practice if they are optimally embedded in the diagnostic process and if sufficient attention is paid to pre-analytical issues, particularly storage and transport times.
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216
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Strobl C, Churchill Cihlar J, Lagacé R, Wootton S, Roth C, Huber N, Schnaller L, Zimmermann B, Huber G, Lay Hong S, Moura-Neto R, Silva R, Alshamali F, Souto L, Anslinger K, Egyed B, Jankova-Ajanovska R, Casas-Vargas A, Usaquén W, Silva D, Barletta-Carrillo C, Tineo DH, Vullo C, Würzner R, Xavier C, Gusmão L, Niederstätter H, Bodner M, Budowle B, Parson W. Evaluation of mitogenome sequence concordance, heteroplasmy detection, and haplogrouping in a worldwide lineage study using the Precision ID mtDNA Whole Genome Panel. Forensic Sci Int Genet 2019; 42:244-251. [PMID: 31382159 DOI: 10.1016/j.fsigen.2019.07.013] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 07/09/2019] [Accepted: 07/21/2019] [Indexed: 12/24/2022]
Abstract
The emergence of Massively Parallel Sequencing technologies enabled the analysis of full mitochondrial (mt)DNA sequences from forensically relevant samples that have, so far, only been typed in the control region or its hypervariable segments. In this study, we evaluated the performance of a commercially available multiplex-PCR-based assay, the Precision ID mtDNA Whole Genome Panel (Thermo Fisher Scientific), for the amplification and sequencing of the entire mitochondrial genome (mitogenome) from even degraded forensic specimens. For this purpose, more than 500 samples from 24 different populations were selected to cover the vast majority of established superhaplogroups. These are known to harbor different signature sequence motifs corresponding to their phylogenetic background that could have an effect on primer binding and, thus, could limit a broad application of this molecular genetic tool. The selected samples derived from various forensically relevant tissue sources and were DNA extracted using different methods. We evaluated sequence concordance and heteroplasmy detection and compared the findings to conventional Sanger sequencing as well as an orthogonal MPS platform. We discuss advantages and limitations of this approach with respect to forensic genetic workflow and analytical requirements.
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Affiliation(s)
- Christina Strobl
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Robert Lagacé
- Human Identification Group, ThermoFisher Scientific, San Francisco, CA, USA
| | - Sharon Wootton
- Human Identification Group, ThermoFisher Scientific, San Francisco, CA, USA
| | - Chantal Roth
- Human Identification Group, ThermoFisher Scientific, San Francisco, CA, USA
| | - Nicole Huber
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Lisa Schnaller
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Bettina Zimmermann
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Gabriela Huber
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Seah Lay Hong
- School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Rodrigo Moura-Neto
- Laboratório de Biologia Molecular Forense, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Rosane Silva
- Instituto de Biofisica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Farida Alshamali
- Dubai Police, Gen. Dept. Forensic Science & Criminology, Dubai, United Arab Emirates
| | - Luis Souto
- Laboratorio de Genética Aplicada, Departamento de Biologia, Universidade de Aveiro, Portugal
| | | | - Balazs Egyed
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Renata Jankova-Ajanovska
- Institute of Forensic Medicine, Criminalistic and Medical Deontology, Medical Faculty, University "St. Cyril and Methodius", Skopje, Macedonia
| | - Andrea Casas-Vargas
- Group of Population Genetics and Identification, Genetics Institute, National University of Colombia, Bogotá, Colombia
| | - Wiliam Usaquén
- Group of Population Genetics and Identification, Genetics Institute, National University of Colombia, Bogotá, Colombia
| | - Dayse Silva
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | | | - Dean Herman Tineo
- Universidad Nacional Mayor de San Marcos, Instituto de Medicina Legal del Perú, Lima, Peru
| | - Carlos Vullo
- DNA Forensic Laboratory, Argentinean Forensic Anthropology team (EAAF), Córdoba, Argentina
| | - Reinhard Würzner
- Division of Hygiene & Med. Microbiology, Medical University of Innsbruck, Austria
| | - Catarina Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Leonor Gusmão
- DNA Diagnostic Laboratory (LDD), State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Harald Niederstätter
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Martin Bodner
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Bruce Budowle
- Center for Human Identification, University of North Texas Health Science Center, TX, USA
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, PA, USA.
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217
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Antibiotic resistance in Pseudomonas aeruginosa - Mechanisms, epidemiology and evolution. Drug Resist Updat 2019; 44:100640. [PMID: 31492517 DOI: 10.1016/j.drup.2019.07.002] [Citation(s) in RCA: 252] [Impact Index Per Article: 50.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/11/2019] [Accepted: 07/12/2019] [Indexed: 12/13/2022]
Abstract
Antibiotics are powerful drugs used in the treatment of bacterial infections. The inappropriate use of these medicines has driven the dissemination of antibiotic resistance (AR) in most bacteria. Pseudomonas aeruginosa is an opportunistic pathogen commonly involved in environmental- and difficult-to-treat hospital-acquired infections. This species is frequently resistant to several antibiotics, being in the "critical" category of the WHO's priority pathogens list for research and development of new antibiotics. In addition to a remarkable intrinsic resistance to several antibiotics, P. aeruginosa can acquire resistance through chromosomal mutations and acquisition of AR genes. P. aeruginosa has one of the largest bacterial genomes and possesses a significant assortment of genes acquired by horizontal gene transfer (HGT), which are frequently localized within integrons and mobile genetic elements (MGEs), such as transposons, insertion sequences, genomic islands, phages, plasmids and integrative and conjugative elements (ICEs). This genomic diversity results in a non-clonal population structure, punctuated by specific clones that are associated with significant morbidity and mortality worldwide, the so-called high-risk clones. Acquisition of MGEs produces a fitness cost in the host, that can be eased over time by compensatory mutations during MGE-host coevolution. Even though plasmids and ICEs are important drivers of AR, the underlying evolutionary traits that promote this dissemination are poorly understood. In this review, we provide a comprehensive description of the main strategies involved in AR in P. aeruginosa and the leading drivers of HGT in this species. The most recently developed genomic tools that allowed a better understanding of the features contributing for the success of P. aeruginosa are discussed.
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218
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Aigle A, Prosser JI, Gubry-Rangin C. The application of high-throughput sequencing technology to analysis of amoA phylogeny and environmental niche specialisation of terrestrial bacterial ammonia-oxidisers. ENVIRONMENTAL MICROBIOME 2019; 14:3. [PMID: 33902715 PMCID: PMC7989807 DOI: 10.1186/s40793-019-0342-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 06/06/2019] [Indexed: 05/21/2023]
Abstract
BACKGROUND Characterisation of microbial communities increasingly involves use of high throughput sequencing methods (e.g. MiSeq Illumina) that amplify relatively short sequences of 16S rRNA or functional genes, the latter including ammonia monooxygenase subunit A (amoA), a key functional gene for ammonia oxidising bacteria (AOB) and archaea (AOA). The availability of these techniques, in combination with developments in phylogenetic methodology, provides the potential for better analysis of microbial niche specialisation. This study aimed to develop an approach for sequencing of bacterial and archaeal amoA genes amplified from soil using bioinformatics pipelines developed for general analysis of functional genes and employed sequence data to reassess phylogeny and niche specialisation in terrestrial bacterial ammonia oxidisers. RESULTS amoA richness and community composition differed with bioinformatics approaches used but analysis of MiSeq sequences was reliable for both archaeal and bacterial amoA genes and was used for subsequent assessment of potential niche specialisation of soil bacteria ammonia oxidisers. Prior to ecological analysis, phylogenetic analysis of Nitrosospira, which dominates soil AOB, was revisited using a phylogenetic analysis of 16S rRNA and amoA genes in available AOB genomes. This analysis supported congruence between phylogenies of the two genes and increased previous phylogenetic resolution, providing support for additional gene clusters of potential ecological significance. Analysis of environmental sequences using these new sequencing, bioinformatics and phylogenetic approaches demonstrated, for the first time, similar niche specialisation in AOB to that in AOA, indicating pH as a key ecological factor controlling the composition of soil ammonia oxidiser communities. CONCLUSIONS This study presents the first bioinformatics pipeline for optimal analysis of Illumina MiSeq sequencing of a functional gene and is adaptable to any amplicon size (even genes larger than 500 bp). The pipeline was used to provide an up-to-date phylogenetic analysis of terrestrial betaproteobacterial amoA genes and to demonstrate the importance of soil pH for their niche specialisation and is broadly applicable to other ecosystems and diverse microbiomes.
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Affiliation(s)
- Axel Aigle
- School of Biological Sciences, Cruickshank Building, University of Aberdeen, St. Machar Drive, Aberdeen, AB24 3UU UK
| | - James I. Prosser
- School of Biological Sciences, Cruickshank Building, University of Aberdeen, St. Machar Drive, Aberdeen, AB24 3UU UK
| | - Cécile Gubry-Rangin
- School of Biological Sciences, Cruickshank Building, University of Aberdeen, St. Machar Drive, Aberdeen, AB24 3UU UK
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219
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Botelho J, Grosso F, Peixe L. WITHDRAWN: Antibiotic resistance in Pseudomonas aeruginosa – mechanisms, epidemiology and evolution. Drug Resist Updat 2019. [DOI: 10.1016/j.drup.2019.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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220
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Besser JM, Carleton HA, Trees E, Stroika SG, Hise K, Wise M, Gerner-Smidt P. Interpretation of Whole-Genome Sequencing for Enteric Disease Surveillance and Outbreak Investigation. Foodborne Pathog Dis 2019; 16:504-512. [PMID: 31246502 PMCID: PMC6653782 DOI: 10.1089/fpd.2019.2650] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The routine use of whole-genome sequencing (WGS) as part of enteric disease surveillance is substantially enhancing our ability to detect and investigate outbreaks and to monitor disease trends. At the same time, it is revealing as never before the vast complexity of microbial and human interactions that contribute to outbreak ecology. Since WGS analysis is primarily used to characterize and compare microbial genomes with the goal of addressing epidemiological questions, it must be interpreted in an epidemiological context. In this article, we identify common challenges and pitfalls encountered when interpreting sequence data in an enteric disease surveillance and investigation context, and explain how to address them.
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Affiliation(s)
- John M Besser
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Heather A Carleton
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Eija Trees
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Steven G Stroika
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Kelley Hise
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Matthew Wise
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
| | - Peter Gerner-Smidt
- Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, National Center for Emerging and Zoonotic Diseases, Atlanta, Georgia
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221
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Gerner-Smidt P, Besser J, Concepción-Acevedo J, Folster JP, Huffman J, Joseph LA, Kucerova Z, Nichols MC, Schwensohn CA, Tolar B. Whole Genome Sequencing: Bridging One-Health Surveillance of Foodborne Diseases. Front Public Health 2019; 7:172. [PMID: 31316960 PMCID: PMC6610495 DOI: 10.3389/fpubh.2019.00172] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 06/10/2019] [Indexed: 11/13/2022] Open
Abstract
Infections caused by pathogens commonly acquired from consumption of food are not always transmitted by that route. They may also be transmitted through contact to animals, other humans or the environment. Additionally, many outbreaks are associated with food contaminated from these non-food sources. For this reason, such presumed foodborne outbreaks are best investigated through a One Health approach working across human, animal and environmental sectors and disciplines. Outbreak strains or clones that have propagated and continue to evolve in non-human sources and environments often show more sequence variation than observed in typical monoclonal point-source outbreaks. This represents a challenge when using whole genome sequencing (WGS), the new gold standard for molecular surveillance of foodborne pathogens, for outbreak detection and investigation. In this review, using recent examples from outbreaks investigated in the United States (US) some aspects of One Health approaches that have been used successfully to solve such outbreaks are presented. These include using different combinations of flexible WGS based case definition, efficient epidemiological follow-up, traceback, surveillance, and testing of potential food and environmental sources and animal hosts.
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Affiliation(s)
- Peter Gerner-Smidt
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - John Besser
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Jeniffer Concepción-Acevedo
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Jason P Folster
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Jasmine Huffman
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Lavin A Joseph
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Zuzana Kucerova
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Megin C Nichols
- The Outbreak Response and Prevention Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Colin A Schwensohn
- The Outbreak Response and Prevention Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Beth Tolar
- The Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Abstract
PURPOSE OF REVIEW The cardiovascular (CV) risk related to lipid disorders is well established and is based on a robust body of evidence from well-designed randomized clinical trials, as well as prospective observational studies. In the last two decades, significant advances have been made in understanding the genetic basis of dyslipidemias. The present review is intended as a comprehensive discussion of current knowledge about the genetics and pathophysiology of disorders that predispose to dyslipidemia. We also focus on issues related to statins and the proprotein convertase subtilisin/kexin type 9 (PCSK9) and some of its polymorphisms, as well as new cholesterol-lowering medications, including PCSK9 inhibitors. RECENT FINDING Cholesterol is essential for the proper functioning of several body systems. However, dyslipidemia-especially elevated low-density lipoprotein (LDL-c) and triglyceride levels, as well as reduced lipoprotein lipase activity-is associated with an increased risk of coronary artery disease (CAD). High-density lipoprotein (HDL-c), however, seems to play a role as a risk marker rather than as a causal factor of the disease, as suggested by Mendelian randomization studies. Several polymorphisms in the lipoprotein lipase locus have been described and are associated with variations in the activity of this enzyme, producing high concentrations of triglycerides and increased risk of CAD. Dyslipidemia, especially increased LDL-c and triglyceride levels, continues to play a significant role in CV risk. The combination of genetic testing and counseling is important in the management of patients with dyslipidemia of genetic etiology. Strategies focused on primary prevention can offer an opportunity to reduce CV events.
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Affiliation(s)
- Ricardo Stein
- Graduate Program in Cardiology and Cardiovascular Sciences, Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. .,Exercise Cardiology Research Group (CardioEx), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. .,School of Medicine, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. .,Serviço de Fisiatria e Reabilitação, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350, Porto Alegre, RS, 90035-903, Brazil.
| | - Filipe Ferrari
- Graduate Program in Cardiology and Cardiovascular Sciences, Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Exercise Cardiology Research Group (CardioEx), Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Fernando Scolari
- Graduate Program in Cardiology and Cardiovascular Sciences, Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Crisafulli C, Romeo PD, Calabrò M, Epasto LM, Alberti S. Pharmacogenetic and pharmacogenomic discovery strategies. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2019; 2:225-241. [PMID: 35582724 PMCID: PMC8992635 DOI: 10.20517/cdr.2018.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/22/2019] [Accepted: 03/26/2019] [Indexed: 11/12/2022]
Abstract
Genetic/genomic profiling at a single-patient level is expected to provide critical information for determining inter-individual drug toxicity and potential efficacy in cancer therapy. A better definition of cancer subtypes at a molecular level, may correspondingly complement such pharmacogenetic and pharmacogenomic approaches, for more effective personalized treatments. Current pharmacogenetic/pharmacogenomic strategies are largely based on the identification of known polymorphisms, thus limiting the discovery of novel or rarer genetic variants. Recent improvements in cost and throughput of next generation sequencing (NGS) are now making whole-genome profiling a plausible alternative for clinical procedures. Beyond classical pharmacogenetic/pharmacogenomic traits for drug metabolism, NGS screening programs of cancer genomes may lead to the identification of novel cancer-driving mutations. These may not only constitute novel therapeutic targets, but also effector determinants for metabolic pathways linked to drug metabolism. An additional advantage is that cancer NGS profiling is now leading to discovering targetable mutations, e.g., in glioblastomas and pancreatic cancers, which were originally discovered in other tumor types, thus allowing for effective repurposing of active drugs already on the market.
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Affiliation(s)
- Concetta Crisafulli
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | | | - Marco Calabrò
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | - Ludovica Martina Epasto
- Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy
| | - Saverio Alberti
- Department of Biomedical Sciences - BIOMORF, University of Messina, via Consolare Valeria, 98125 Messina, Italy.,Unit of Medical Genetics, University of Messina, via Consolare Valeria, 98125 Messina, Italy.,Correspondence Address: Prof. Saverio Alberti, Unit of Medical Genetics, BIOMORF Department of Biomedical Sciences, University of Messina, via Consolare Valeria, 98125 Messina, Italy. E-mail:
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224
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Ma L, Jakobiec FA, Dryja TP. A Review of Next-Generation Sequencing (NGS): Applications to the Diagnosis of Ocular Infectious Diseases. Semin Ophthalmol 2019; 34:223-231. [PMID: 31170015 DOI: 10.1080/08820538.2019.1620800] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Purpose: To review the value of next-generation sequencing (NGS) in identifying the pathogens which cause ocular infections, thereby facilitating prompt initiation of treatment with an optimal anti-microbial regimen. Both contemporary and futuristic approaches to identifying pathogens in ocular infections are covered in this brief overview. Methods: Review of the peer reviewed literature on conventional and advanced methods as applied to the diagnosis of infectious diseases of the eye. Conclusion: NGS is a novel technology for identifying the pathogens responsible for ocular infections with the potential to improve the accuracy and speed of diagnosis and hastening the selection of the best therapy.
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Affiliation(s)
- Lina Ma
- a David G Cogan Laboratory of Ophthalmic Pathology, Massachusetts Eye and Ear Infirmary , Harvard Medical School , Boston , MA , USA
| | - Frederick A Jakobiec
- a David G Cogan Laboratory of Ophthalmic Pathology, Massachusetts Eye and Ear Infirmary , Harvard Medical School , Boston , MA , USA
| | - Thaddeus P Dryja
- a David G Cogan Laboratory of Ophthalmic Pathology, Massachusetts Eye and Ear Infirmary , Harvard Medical School , Boston , MA , USA
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225
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Xiao W, Han P, Xu Z, Huang M. Pulmonary scedosporiosis in a patient with acute hematopoietic failure: Diagnosis aided by next-generation sequencing. Int J Infect Dis 2019; 85:114-116. [PMID: 31170547 DOI: 10.1016/j.ijid.2019.05.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/15/2019] [Accepted: 05/25/2019] [Indexed: 10/26/2022] Open
Abstract
We report the first case of pulmonary scedosporiosis detected by next-generation sequencing (NGS) from bronchoalveolar lavage fluid (BALF) in a 67-year-old male with bronchiectasis and hematopoietic failure. Scedosporium apiospermum is a ubiquitous organism present in the environment with intrinsic resistance to many antifungal agents. The patient developed respiratory failure, pulmonary consolidation, and septic shock shortly thereafter, and responded poorly to antifungal therapy. This case highlights the combined application of NGS and traditional fungal culture in the clinical diagnosis of pulmonary invasive fungal disease. NGS is proposed as an important adjunctive diagnostic approach for uncommon pathogens.
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Affiliation(s)
- Wei Xiao
- Department of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Pan Han
- Department of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhijun Xu
- Department of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Man Huang
- Department of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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Humphreys H, Coleman D. Contribution of whole-genome sequencing to understanding of the epidemiology and control of meticillin-resistant Staphylococcus aureus. J Hosp Infect 2019; 102:189-199. [DOI: 10.1016/j.jhin.2019.01.025] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 01/29/2019] [Indexed: 02/06/2023]
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227
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Jagadeesan B, Gerner-Smidt P, Allard MW, Leuillet S, Winkler A, Xiao Y, Chaffron S, Van Der Vossen J, Tang S, Katase M, McClure P, Kimura B, Ching Chai L, Chapman J, Grant K. The use of next generation sequencing for improving food safety: Translation into practice. Food Microbiol 2019; 79:96-115. [PMID: 30621881 PMCID: PMC6492263 DOI: 10.1016/j.fm.2018.11.005] [Citation(s) in RCA: 160] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 10/27/2018] [Accepted: 11/13/2018] [Indexed: 01/06/2023]
Abstract
Next Generation Sequencing (NGS) combined with powerful bioinformatic approaches are revolutionising food microbiology. Whole genome sequencing (WGS) of single isolates allows the most detailed comparison possible hitherto of individual strains. The two principle approaches for strain discrimination, single nucleotide polymorphism (SNP) analysis and genomic multi-locus sequence typing (MLST) are showing concordant results for phylogenetic clustering and are complementary to each other. Metabarcoding and metagenomics, applied to total DNA isolated from either food materials or the production environment, allows the identification of complete microbial populations. Metagenomics identifies the entire gene content and when coupled to transcriptomics or proteomics, allows the identification of functional capacity and biochemical activity of microbial populations. The focus of this review is on the recent use and future potential of NGS in food microbiology and on current challenges. Guidance is provided for new users, such as public health departments and the food industry, on the implementation of NGS and how to critically interpret results and place them in a broader context. The review aims to promote the broader application of NGS technologies within the food industry as well as highlight knowledge gaps and novel applications of NGS with the aim of driving future research and increasing food safety outputs from its wider use.
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Affiliation(s)
- Balamurugan Jagadeesan
- Nestlé Research, Nestec Ltd, Route du Jorat 57, Vers-chez-les-Blanc, CH-1000, Lausanne 26, Switzerland.
| | - Peter Gerner-Smidt
- Centers for Disease Control and Prevention, MS-CO-3, 1600 Clifton Road, 30329-4027, Atlanta, USA
| | - Marc W Allard
- US Food and Drug Administration, 5001 Campus Drive, College Park, MD, 02740, USA
| | - Sébastien Leuillet
- Institut Mérieux, Mérieux NutriSciences, 3 route de la Chatterie, 44800, Saint Herblain, France
| | - Anett Winkler
- Cargill Deutschland GmbH, Cerestarstr. 2, 47809, Krefeld, Germany
| | - Yinghua Xiao
- Arla Innovation Center, Agro Food Park 19, 8200, Aarhus, Denmark
| | - Samuel Chaffron
- Laboratoire des Sciences du Numérique de Nantes (LS2N), CNRS UMR 6004 - Université de Nantes, 2 rue de la Houssinière, 44322, Nantes, France
| | - Jos Van Der Vossen
- The Netherlands Organisation for Applied Scientific Research, TNO, Utrechtseweg 48, 3704 HE, Zeist, NL, the Netherlands
| | - Silin Tang
- Mars Global Food Safety Center, Yanqi Economic Development Zone, 101407, Beijing, China
| | - Mitsuru Katase
- Fuji Oil Co., Ltd., Sumiyoshi-cho 1, Izumisano Osaka, 598-8540, Japan
| | - Peter McClure
- Mondelēz International, Linden 3, Bournville Lane, B30 2LU, Birmingham, United Kingdom
| | - Bon Kimura
- Tokyo University of Marine Science & Technology, Konan 4-5-7, Minato-ku, Tokyo, 108-8477, Japan
| | - Lay Ching Chai
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - John Chapman
- Unilever Research & Development, Postbus, 114, 3130 AC, Vlaardingen, the Netherlands
| | - Kathie Grant
- Gastrointestinal Bacteria Reference Unit, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ, United Kingdom.
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Epidemiology of Foodborne Illnesses. Food Microbiol 2019. [DOI: 10.1128/9781555819972.ch8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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229
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hicap: In Silico Serotyping of the Haemophilus influenzae Capsule Locus. J Clin Microbiol 2019; 57:JCM.00190-19. [PMID: 30944197 PMCID: PMC6535587 DOI: 10.1128/jcm.00190-19] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 03/29/2019] [Indexed: 11/20/2022] Open
Abstract
Haemophilus influenzae exclusively colonizes the human nasopharynx and can cause a variety of respiratory infections as well as invasive diseases, including meningitis and sepsis. A key virulence determinant of H. influenzae is the polysaccharide capsule, of which six serotypes are known, each encoded by a distinct variation of the capsule biosynthesis locus (cap-a to cap-f). Haemophilus influenzae exclusively colonizes the human nasopharynx and can cause a variety of respiratory infections as well as invasive diseases, including meningitis and sepsis. A key virulence determinant of H. influenzae is the polysaccharide capsule, of which six serotypes are known, each encoded by a distinct variation of the capsule biosynthesis locus (cap-a to cap-f). H. influenzae type b (Hib) was historically responsible for the majority of invasive H. influenzae disease, and its prevalence has been markedly reduced in countries that have implemented vaccination programs targeting this serotype. In the postvaccine era, nontypeable H. influenzae emerged as the most dominant group causing disease, but in recent years a resurgence of encapsulated H. influenzae strains has also been observed, most notably serotype a. Given the increasing incidence of encapsulated strains and the high frequency of Hib in countries without vaccination programs, there is growing interest in genomic epidemiology of H. influenzae. Here we present hicap, a software tool for rapid in silico serotype prediction from H. influenzae genome sequences. hicap is written using Python3 and is freely available at https://github.com/scwatts/hicap under the GNU General Public License v3 (GPL3). To demonstrate the utility of hicap, we used it to investigate the cap locus diversity and distribution in 691 high-quality H. influenzae genomes from GenBank. These analyses identified cap loci in 95 genomes and confirmed the general association of each serotype with a unique clonal lineage, and they also identified occasional recombination between lineages that gave rise to hybrid cap loci (2% of encapsulated strains).
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230
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A core genome approach that enables prospective and dynamic monitoring of infectious outbreaks. Sci Rep 2019; 9:7808. [PMID: 31127153 PMCID: PMC6534532 DOI: 10.1038/s41598-019-44189-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 05/09/2019] [Indexed: 11/16/2022] Open
Abstract
Whole-genome sequencing is increasingly adopted in clinical settings to identify pathogen transmissions, though largely as a retrospective tool. Prospective monitoring, in which samples are continuously added and compared to previous samples, can generate more actionable information. To enable prospective pathogen comparison, genomic relatedness metrics based on single-nucleotide differences must be consistent across time, efficient to compute and reliable for a large variety of samples. The choice of genomic regions to compare, i.e., the core genome, is critical to obtain a good metric. We propose a novel core genome method that selects conserved sequences in the reference genome by comparing its k-mer content to that of publicly available genome assemblies. The conserved-sequence genome is sample set-independent, which enables prospective pathogen monitoring. Based on clinical data sets of 3436 S. aureus, 1362 K. pneumoniae and 348 E. faecium samples, ROC curves demonstrate that the conserved-sequence genome disambiguates same-patient samples better than a core genome consisting of conserved genes. The conserved-sequence genome confirms outbreak samples with high sensitivity: in a set of 2335 S. aureus samples, it correctly identifies 44 out of 44 known outbreak samples, whereas the conserved-gene method confirms 38 known outbreak samples.
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231
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Abstract
The growth of pathogen genomics shows no signs of abating. Whole-genome sequencing of clinical viral and bacterial isolates continues to grow in nearly exponential bounds. Reductions in cost driven by new technology have created a seamless environment for generating, sharing, and analyzing pathogen genomes. The high-resolution view of infectious disease transmission dynamics offered by analyzing whole genomes from pathogens, coupled with the genomicist ethic of widespread data sharing, has created a veritable Internet of pathogens, which inadvertently produces new threats to patient privacy and protected heath information. The health care system, and society more generally, have yet to explore the far-reaching privacy concerns raised by readily accessible pathogen genomic data. The recent use of human genomic databases, the existence of freely available alternative data and metadata sources, and lax regulation of collecting publicly available genomes to identify individuals in a criminal context raise concerning parallels about what is possible with pathogen genomics. The growing ability to ascertain culpability for infectious disease transmission at a nearly individual level could change our perspective on disease outbreaks from one based on public health to one based on individual liability. These technological breakthroughs in the absence of an understanding of potential privacy and liability issues lead to questions about the dominant paradigm of better living through pathogen genomics.
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232
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Tolar B, Joseph LA, Schroeder MN, Stroika S, Ribot EM, Hise KB, Gerner-Smidt P. An Overview of PulseNet USA Databases. Foodborne Pathog Dis 2019; 16:457-462. [PMID: 31066584 DOI: 10.1089/fpd.2019.2637] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
PulseNet USA is the molecular surveillance network for foodborne disease in the United States. The network consists of state and local public health laboratories, as well as food regulatory agencies, that follow PulseNet's standardized protocols to perform pulsed-field gel electrophoresis (PFGE) and whole genome sequencing (WGS) and analyze the results using standardized software. The raw sequences are uploaded to the GenomeTrakr or PulseNet bioprojects at the National Center for Biotechnology Information. The PFGE patterns and analyzed sequence data are uploaded in real time with associated demographic data to the PulseNet national databases managed at the Centers for Disease Control and Prevention. The PulseNet databases are organism specific and provide a central storage location for molecular and demographic data related to an isolate. Sequences are compared in the databases, thereby facilitating the rapid detection of clusters of foodborne diseases that may represent widespread outbreaks. WGS genotyping data, for example, antibiotic resistance and virulence profiles, are also uploaded in real time to the PulseNet databases to improve food safety surveillance activities.
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Affiliation(s)
- Beth Tolar
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lavin A Joseph
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Morgan N Schroeder
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Steven Stroika
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Efrain M Ribot
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kelley B Hise
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Peter Gerner-Smidt
- Enteric Diseases Laboratory Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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233
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Pereira De Martinis EC, Almeida OGGD. Relating next-generation sequencing and bioinformatics concepts to routine microbiological testing. ELECTRONIC JOURNAL OF GENERAL MEDICINE 2019. [DOI: 10.29333/ejgm/108690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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234
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Mintzer V, Moran-Gilad J, Simon-Tuval T. Operational models and criteria for incorporating microbial whole genome sequencing in hospital microbiology - A systematic literature review. Clin Microbiol Infect 2019; 25:1086-1095. [PMID: 31039443 DOI: 10.1016/j.cmi.2019.04.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 04/17/2019] [Accepted: 04/18/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Microbial whole genome sequencing (WGS) has many advantages over standard microbiological methods. However, it is not yet widely implemented in routine hospital diagnostics due to notable challenges. OBJECTIVES The aim was to extract managerial, financial and clinical criteria supporting the decision to implement WGS in routine diagnostic microbiology, across different operational models of implementation in the hospital setting. METHODS This was a systematic review of literature identified through PubMed and Web of Science. English literature studies discussing the applications of microbial WGS without limitation on publication date were eligible. A narrative approach for categorization and synthesis of the sources identified was adopted. RESULTS A total of 98 sources were included. Four main alternative operational models for incorporating WGS in clinical microbiology laboratories were identified: full in-house sequencing and analysis, full outsourcing of sequencing and analysis and two hybrid models combining in-house/outsourcing of the sequencing and analysis components. Six main criteria (and multiple related sub-criteria) for WGS implementation emerged from our review and included cost (e.g. the availability of resources for capital and operational investment); manpower (e.g. the ability to provide training programmes or recruit trained personnel), laboratory infrastructure (e.g. the availability of supplies and consumables or sequencing platforms), bioinformatics requirements (e.g. the availability of valid analysis tools); computational infrastructure (e.g. the availability of storage space or data safety arrangements); and quality control (e.g. the existence of standardized procedures). CONCLUSIONS The decision to incorporate WGS in routine diagnostics involves multiple, sometimes competing, criteria and sub-criteria. Mapping these criteria systematically is an essential stage in developing policies for adoption of this technology, e.g. using a multicriteria decision tool. Future research that will prioritize criteria and sub-criteria that were identified in our review in the context of operational models will inform decision-making at clinical and managerial levels with respect to effective implementation of WGS for routine use. Beyond WGS, similar decision-making challenges are expected with respect to future integration of clinical metagenomics.
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Affiliation(s)
- V Mintzer
- Department of Health Systems Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel; Leumit Health Services, Israel
| | - J Moran-Gilad
- Department of Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel; ESCMID Study Group for Genomic and Molecular Diagnostics (ESGMD), Basel, Switzerland
| | - T Simon-Tuval
- Department of Health Systems Management, Guilford Glazer Faculty of Business and Management and Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel.
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235
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Fogler K, Guron GKP, Wind LL, Keenum IM, Hession WC, Krometis LA, Strawn LK, Pruden A, Ponder MA. Microbiota and Antibiotic Resistome of Lettuce Leaves and Radishes Grown in Soils Receiving Manure-Based Amendments Derived From Antibiotic-Treated Cows. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2019. [DOI: 10.3389/fsufs.2019.00022] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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236
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Muthuirulandi Sethuvel DP, Devanga Ragupathi NK, Bakthavatchalam YD, Vijayakumar S, Varghese R, Shankar C, Jacob JJ, Vasudevan K, Elangovan D, Balaji V. Current strategy for local- to global-level molecular epidemiological characterisation of global antimicrobial resistance surveillance system pathogens. Indian J Med Microbiol 2019; 37:147-162. [PMID: 31745014 DOI: 10.4103/ijmm.ijmm_19_396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The prime goal of molecular epidemiology is to identify the origin and evolution of pathogens, which can potentially influence the public health worldwide. Traditional methods provide limited information which is not sufficient for outbreak investigation and studying transmission dynamics. The recent advancement of next-generation sequencing had a major impact on molecular epidemiological studies. Currently, whole-genome sequencing (WGS) has become the gold standard typing method, especially for clinically significant pathogens. Here, we aimed to describe the application of appropriate molecular typing methods for global antimicrobial resistance surveillance system pathogens based on the level of discrimination and epidemiological settings. This shows that sequence-based methods such as multi-locus sequence typing (MLST) are widely used due to cost-effectiveness and database accessibility. However, WGS is the only method of choice for studying Escherichia coli and Shigella spp. WGS is shown to have higher discrimination than other methods in typing Klebsiella pneumoniae, Acinetobacter baumannii and Salmonella spp. due to its changing accessory genome content. For Gram positives such as Streptococcus pneumoniae, WGS would be preferable to understand the evolution of the strains. Similarly, for Staphylococcus aureus, combination of MLST, staphylococcal protein A or SCCmec typing along with WGS could be the choice for epidemiological typing of hospital- and community-acquired strains. This review highlights that combinations of different typing methods should be used to get complete information since no one standalone method is sufficient to study the varying genome diversity.
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Affiliation(s)
| | | | | | - Saranya Vijayakumar
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Rosemol Varghese
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Chaitra Shankar
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Jobin John Jacob
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Karthick Vasudevan
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Divyaa Elangovan
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Veeraraghavan Balaji
- Department of Clinical Microbiology, Christian Medical College, Vellore, Tamil Nadu, India
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Hadjadj L, Baron SA, Diene SM, Rolain JM. How to discover new antibiotic resistance genes? Expert Rev Mol Diagn 2019; 19:349-362. [PMID: 30895843 DOI: 10.1080/14737159.2019.1592678] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Antibiotic resistance (AR) is a worldwide concern and the description of AR have been discovered mainly because of their implications in human medicine. Since the recent burden of whole-genome sequencing of microorganisms, the number of new AR genes (ARGs) have dramatically increased over the last decade. Areas covered: In this review, we will describe the different methods that could be used to characterize new ARGs using classic or innovative methods. First, we will focus on the biochemical methods, then we will develop on molecular methods, next-generation sequencing and bioinformatics approaches. The use of various methods, including cloning, mutagenesis, transposon mutagenesis, functional genomics, whole genome sequencing, metagenomic and functional metagenomics will be reviewed here, outlining the advantages and drawbacks of each method. Bioinformatics softwares used for resistome analysis and protein modeling will be also described. Expert opinion: Biological experiments and bioinformatics analysis are complementary. Nowadays, the ARGs described only account for the tip of the iceberg of all existing resistance mechanisms. The multiplication of the ecosystems studied allows us to find a large reservoir of AR mechanisms. Furthermore, the adaptation ability of bacteria facing new antibiotics promises a constant discovery of new AR mechanisms.
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Affiliation(s)
- Linda Hadjadj
- a Microbes Evolution Phylogeny and Infections (MEPHI), IRD, APHM, IHU Méditerranée Infection, Faculté de Médecine et de Pharmacie , Aix-Marseille-Univ , Marseille , France
| | - Sophie Alexandra Baron
- a Microbes Evolution Phylogeny and Infections (MEPHI), IRD, APHM, IHU Méditerranée Infection, Faculté de Médecine et de Pharmacie , Aix-Marseille-Univ , Marseille , France
| | - Seydina M Diene
- a Microbes Evolution Phylogeny and Infections (MEPHI), IRD, APHM, IHU Méditerranée Infection, Faculté de Médecine et de Pharmacie , Aix-Marseille-Univ , Marseille , France
| | - Jean-Marc Rolain
- a Microbes Evolution Phylogeny and Infections (MEPHI), IRD, APHM, IHU Méditerranée Infection, Faculté de Médecine et de Pharmacie , Aix-Marseille-Univ , Marseille , France.,b IHU Méditerranée Infection , Marseille , France
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238
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Affiliation(s)
- Marta Gwinn
- CFOL International, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Duncan MacCannell
- Office of Advanced Molecular Detection, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Gregory L Armstrong
- Office of Advanced Molecular Detection, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
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239
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A call for thematic reviews and original research. Clin Microbiol Infect 2019. [DOI: 10.1016/j.cmi.2017.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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240
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Application of next generation sequencing technology on contamination monitoring in microbiology laboratory. BIOSAFETY AND HEALTH 2019; 1:25-31. [PMID: 32501441 PMCID: PMC7148601 DOI: 10.1016/j.bsheal.2019.02.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 01/07/2019] [Accepted: 02/21/2019] [Indexed: 12/25/2022] Open
Abstract
The surveillance and prevention of pathogenic microbiological contamination are the most important tasks of biosafety management in the lab. There is an urgent need to establish an effective and unbiased method to evaluate and monitor such contamination. This study aims to investigate the utility of next generation sequencing (NGS) method to detect possible contamination in the microbiology laboratory. Environmental samples were taken at multiple sites at the lab including the inner site of centrifuge rotor, the bench used for molecular biological tests, the benches of biosafety cabinets used for viral culture, clinical sample pre-treatment and nucleic acids extraction, by scrubbing the sites using sterile flocked swabs. The extracted total nucleic acids were used to construct the libraries for deep sequencing according to the protocol of Ion Torrent platform. At least 1G raw data was obtained for each sample. The reads of viruses and bacteria accounted for 0.01 ± 0.02%, and 77.76 ± 12.53% of total reads respectively. The viral sequences were likely to be derived from gene amplification products, the nucleic acids contaminated in fetal bovine serum. Reads from environmental microorganisms were also identified. Our results suggested that NGS method was capable of monitoring the nucleic acids contaminations from different sources in the lab, demonstrating its promising utility in monitoring and assessing the risk of potential laboratory contamination. The risk of contamination from reagents, remnant DNA and environment should be considered in data analysis and results interpretation.
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241
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Shean RC, Makhsous N, Stoddard GD, Lin MJ, Greninger AL. VAPiD: a lightweight cross-platform viral annotation pipeline and identification tool to facilitate virus genome submissions to NCBI GenBank. BMC Bioinformatics 2019; 20:48. [PMID: 30674273 PMCID: PMC6343335 DOI: 10.1186/s12859-019-2606-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 01/04/2019] [Indexed: 11/11/2022] Open
Abstract
Background With sequencing technologies becoming cheaper and easier to use, more groups are able to obtain whole genome sequences of viruses of public health and scientific importance. Submission of genomic data to NCBI GenBank is a requirement prior to publication and plays a critical role in making scientific data publicly available. GenBank currently has automatic prokaryotic and eukaryotic genome annotation pipelines but has no viral annotation pipeline beyond influenza virus. Annotation and submission of viral genome sequence is a non-trivial task, especially for groups that do not routinely interact with GenBank for data submissions. Results We present Viral Annotation Pipeline and iDentification (VAPiD), a portable and lightweight command-line tool for annotation and GenBank deposition of viral genomes. VAPiD supports annotation of nearly all unsegmented viral genomes. The pipeline has been validated on human immunodeficiency virus, human parainfluenza virus 1–4, human metapneumovirus, human coronaviruses (229E/OC43/NL63/HKU1/SARS/MERS), human enteroviruses/rhinoviruses, measles virus, mumps virus, Hepatitis A-E Virus, Chikungunya virus, dengue virus, and West Nile virus, as well the human polyomaviruses BK/JC/MCV, human adenoviruses, and human papillomaviruses. The program can handle individual or batch submissions of different viruses to GenBank and correctly annotates multiple viruses, including those that contain ribosomal slippage or RNA editing without prior knowledge of the virus to be annotated. VAPiD is programmed in Python and is compatible with Windows, Linux, and Mac OS systems. Conclusions We have created a portable, lightweight, user-friendly, internet-enabled, open-source, command-line genome annotation and submission package to facilitate virus genome submissions to NCBI GenBank. Instructions for downloading and installing VAPiD can be found at https://github.com/rcs333/VAPiD.
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Affiliation(s)
- Ryan C Shean
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Negar Makhsous
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Graham D Stoddard
- Department of Neurobiology, University of Washington, Seattle, WA, USA
| | - Michelle J Lin
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alexander L Greninger
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA. .,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
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Okuda KI, Yoshii Y, Yamada S, Chiba A, Hironaka I, Hori S, Yanaga K, Mizunoe Y. Detection of bacterial DNA from central venous catheter removed from patients by next generation sequencing: a preliminary clinical study. Ann Clin Microbiol Antimicrob 2018; 17:44. [PMID: 30577829 PMCID: PMC6303997 DOI: 10.1186/s12941-018-0297-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 12/17/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Catheter-related infection (CRI) is one of the serious challenges in clinical practice. This preliminary clinical study aimed to examine whether next-generation sequencing (NGS) targeting 16S rDNA, which was PCR-amplified directly from the tip of a central venous catheter (CVC), can be used to identify causative pathogens in CRI, compared to the culture method. METHODS Hospitalized patients, from whom a CVC had just been removed, were prospectively enrolled and divided into the CRI-suspected and routine removal groups. DNA was extracted from the sonication fluid of CVC specimens derived from patients. For analysis of bacterial composition by NGS, the V3-V4 fragments of bacterial 16S rDNA were PCR-amplified, followed by index PCR and paired-end sequencing on an Illumina MiSeq device. Conventional culture methods were also performed in the CRI-suspected group. RESULTS Of CVCs collected from the 156 enrolled patients (114 men; mean age 65.6 years), a total of 14 specimens [nine out of 31 patients suspected with CRI and five out of 125 patients without infection symptoms (routine removal group)] were PCR-positive. In five patients with definite CRI, Staphylococcus was the most frequently detected genus by NGS (4/5 specimens), although no pathogens were detected by NGS in the one remaining specimen. The genera identified by NGS were consistent with those from conventional culture tests. There was high agreement between NGS and the culture method in the CRI-suspected group, with sensitivity and specificity values of 80.0% and 76.9%, respectively; meanwhile, the false-positive rate of NGS was as low as 4.0% in the routine removal group. Moreover, several genera, besides the genus identified by culture test, were detected in each patient with definite CRI and surgical site infection (SSI). Additionally, in one patient with SSI, Enterococcaceae were detected not only by NGS but also by abdominal abscess drainage culture. CONCLUSIONS NGS targeting 16S rDNA was able to analyze the bacterial composition of CVC specimens and detect causative pathogens in patients with CRI and was therefore suggested as a promising diagnostic tool for CRI.
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Affiliation(s)
- Ken-Ichi Okuda
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan. .,Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan.
| | - Yutaka Yoshii
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.,Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan.,Division of Respiratory Diseases, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Satomi Yamada
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan
| | - Akio Chiba
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.,Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan
| | - Ippei Hironaka
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.,Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
| | - Seiji Hori
- Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan.,Department of Infectious Disease and Control, The Jikei University School of Medicine, Tokyo, Japan
| | - Katsuhiko Yanaga
- Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan.,Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
| | - Yoshimitsu Mizunoe
- Department of Bacteriology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.,Jikei Center for Biofilm Science and Technology, The Jikei University School of Medicine, Tokyo, Japan
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243
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Bachmann NL, Rockett RJ, Timms VJ, Sintchenko V. Advances in Clinical Sample Preparation for Identification and Characterization of Bacterial Pathogens Using Metagenomics. Front Public Health 2018; 6:363. [PMID: 30619804 PMCID: PMC6299010 DOI: 10.3389/fpubh.2018.00363] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Accepted: 11/28/2018] [Indexed: 12/12/2022] Open
Abstract
Whole genome sequencing (WGS) plays an increasing role in communicable disease control through high-resolution outbreak tracing, laboratory surveillance and diagnostics. However, WGS has traditionally relied on microbial culture in order to obtain pathogen specific DNA for sequencing. This has severely limited the application of whole genome sequencing on pathogens with fastidious culturing requirements. In addition, the widespread adoption of culture-independent diagnostic tests has reduced availability of cultured isolates for confirmatory testing and surveillance. These recent developments have created demand for the implementation of techniques enabling direct sequencing of microbial genomes in clinical samples without having to culture an isolate. However, sequencing of specific organisms from clinical samples can be affected by high levels of contaminating DNA from the host and other commensal microorganisms. Several methods have been introduced for selective lysis of host cells and/or separate specific organisms from a clinical sample. This review examines the different approaches for sample preparation that have been used in diagnostic and public health laboratories for metagenomic sequencing.
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Affiliation(s)
- Nathan L. Bachmann
- Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Centenary Institute, University of Sydney, Camperdown, NSW, Australia
| | - Rebecca J. Rockett
- Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Centre for Infectious Diseases and Microbiology–Public Health, Westmead Hospital, Sydney, NSW, Australia
| | - Verlaine Joy Timms
- Centre for Infectious Diseases and Microbiology–Public Health, Westmead Hospital, Sydney, NSW, Australia
| | - Vitali Sintchenko
- Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
- Centre for Infectious Diseases and Microbiology–Public Health, Westmead Hospital, Sydney, NSW, Australia
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244
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Biswas C, Marcelino VR, Van Hal S, Halliday C, Martinez E, Wang Q, Kidd S, Kennedy K, Marriott D, Morrissey CO, Arthur I, Weeks K, Slavin MA, Sorrell TC, Sintchenko V, Meyer W, Chen SCA. Whole Genome Sequencing of Australian Candida glabrata Isolates Reveals Genetic Diversity and Novel Sequence Types. Front Microbiol 2018; 9:2946. [PMID: 30559734 PMCID: PMC6287553 DOI: 10.3389/fmicb.2018.02946] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 11/16/2018] [Indexed: 12/31/2022] Open
Abstract
Candida glabrata is a pathogen with reduced susceptibility to azoles and echinocandins. Analysis by traditional multilocus sequence typing (MLST) has recognized an increasing number of sequence types (STs), which vary with geography. Little is known about STs of C. glabrata in Australia. Here, we utilized whole genome sequencing (WGS) to study the genetic diversity of 51 Australian C. glabrata isolates and sought associations between STs over two time periods (2002-2004, 2010-2017), and with susceptibility to fluconazole by principal component analysis (PCA). Antifungal susceptibility was determined using Sensititre YeastOneTM Y010 methodology and WGS performed on the NextSeq 500 platform (Illumina) with in silico MLST STs inferred by WGS data. Single nucleotide polymorphisms (SNPs) in genes linked to echinocandin, azole and 5-fluorocytosine resistance were analyzed. Of 51 isolates, WGS identified 18 distinct STs including four novel STs (ST123, ST124, ST126, and ST127). Four STs accounted for 49% of isolates (ST3, 15.7%; ST83, 13.7%; ST7, 9.8%; ST26, 9.8%). Split-tree network analysis resolved isolates to terminal branches; many of these comprised multiple isolates from disparate geographic settings but four branches contained Australian isolates only. ST3 isolates were common in Europe, United States and now Australia, whilst ST8 and ST19, relatively frequent in the United States, were rare/absent amongst our isolates. There was no association between ST distribution (genomic similarity) and the two time periods or with fluconazole susceptibility. WGS identified mutations in the FKS1 (S629P) and FKS2 (S663P) genes in three, and one, echinocandin-resistant isolate(s), respectively. Both mutations confer phenotypic drug resistance. Twenty-five percent (13/51) of isolates were fluconazole-resistant (MIC ≥ 64 μg/ml) of which 9 (18%) had non wild-type MICs to voriconazole and posaconazole. Multiple SNPs were present in genes linked to azole resistance such as CgPDR1 and CgCDR1, as well as several in MSH2; however, SNPs occurred in both azole-susceptible and azole-resistant isolates. Although no particular SNP in these genes was definitively associated with resistance, azole-resistant/non-wild type isolates had a propensity to harbor SNPs resulting in amino acid substitutions in Pdr1 beyond the first 250 amino acid positions. The presence of SNPs may be markers of STs. Our study shows the value of WGS for high-resolution sequence typing of C. glabrata, discovery of novel STs and potential to monitor trends in genetic diversity. WGS assessment for echinocandin resistance augments phenotypic susceptibility testing.
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Affiliation(s)
- Chayanika Biswas
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Vanessa R Marcelino
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.,Marie Bashir Institute for Emerging Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Sebastiaan Van Hal
- Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Catriona Halliday
- Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Sydney, NSW, Australia
| | - Elena Martinez
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Qinning Wang
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Sarah Kidd
- National Mycology Reference Centre, SA Pathology, Adelaide, SA, Australia
| | - Karina Kennedy
- Department of Microbiology and Infectious Diseases, Canberra Hospital & Health Services, Australian National University Medical School, Canberra, ACT, Australia
| | - Deborah Marriott
- Department of Microbiology and Infectious Diseases, St Vincent's Hospital, Sydney, NSW, Australia
| | - C Orla Morrissey
- Department of Infectious Diseases, Alfred Health and Monash University, Melbourne, VIC, Australia
| | - Ian Arthur
- Department of Microbiology, PathWest Laboratory Medicine, Queen Elizabeth II Medical Centre, Perth, WA, Australia
| | - Kerry Weeks
- Department of Microbiology and Infectious Diseases, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Monica A Slavin
- National Centre for Infections in Cancer, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Tania C Sorrell
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.,Marie Bashir Institute for Emerging Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.,Marie Bashir Institute for Emerging Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Wieland Meyer
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.,Marie Bashir Institute for Emerging Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Sharon C-A Chen
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Sydney, NSW, Australia.,Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, Westmead, NSW, Australia.,Marie Bashir Institute for Emerging Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia.,Centre for Infectious Diseases and Microbiology Laboratory Services, ICPMR, New South Wales Health Pathology, Westmead Hospital, Sydney, NSW, Australia
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245
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Tassios PT, Moran-Gilad J. Bacterial next generation sequencing (NGS) made easy. Clin Microbiol Infect 2018; 24:332-334. [PMID: 29548687 DOI: 10.1016/j.cmi.2018.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/04/2018] [Accepted: 03/05/2018] [Indexed: 10/17/2022]
Affiliation(s)
- P T Tassios
- Department of Microbiology, Medical School, National & Kapodistrian University of Athens, Greece
| | - J Moran-Gilad
- School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; ESCMID Study Group for Genomic and Molecular Diagnostics (ESGMD), Basel, Switzerland.
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246
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Gargis AS, McLaughlin HP, Conley AB, Lascols C, Michel PA, Gee JE, Marston CK, Kolton CB, Rodriguez-R LM, Hoffmaster AR, Weigel LM, Sue D. Analysis of Whole-Genome Sequences for the Prediction of Penicillin Resistance and β-Lactamase Activity in Bacillus anthracis. mSystems 2018; 3:e00154-18. [PMID: 30574557 PMCID: PMC6290263 DOI: 10.1128/msystems.00154-18] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 11/14/2018] [Indexed: 12/01/2022] Open
Abstract
Penicillin (PEN) is a low-cost option for anthrax treatment, but naturally occurring resistance has been reported. β-Lactamase expression (bla1, bla2) in Bacillus anthracis is regulated by a sigma factor (SigP) and its cognate anti-sigma factor (RsiP). Mutations leading to truncation of RsiP were previously described as a basis for PEN resistance. Here, we analyze whole-genome sequencing (WGS) data and compare the chromosomal sigP-bla1 regions from 374 B. anthracis strains to determine the frequency of mutations, identify mutations associated with PEN resistance, and evaluate the usefulness of WGS for predicting PEN resistance. Few (3.5%) strains contained at least 1 of 11 different mutations in sigP, rsiP, or bla1. Nine of these mutations have not been previously associated with PEN resistance. Four strains showed PEN resistance (PEN-R) by conventional broth microdilution, including 1 strain with a novel frameshift in rsiP. One strain that carries the same rsiP frameshift mutation as that found previously in a PEN-R strain showed a PEN-susceptible (PEN-S) phenotype and exhibited decreased bla1 and bla2 transcription. An unexpectedly small colony size, a reduced growth rate, and undetectable β-lactamase activity levels (culture supernatant and cell lysate) were observed in this PEN-S strain. Sequence analysis revealed mutations in genes associated with growth defects that may contribute to this phenotype. While B. anthracis rsiP mutations cannot be exclusively used to predict resistance, four of the five strains with rsiP mutations were PEN-R. Therefore, the B. anthracis sigP-bla1 region is a useful locus for WGS-based PEN resistance prediction, but phenotypic testing remains essential. IMPORTANCE Determination of antimicrobial susceptibility of B. anthracis is essential for the appropriate distribution of antimicrobial agents for postexposure prophylaxis (PEP) and treatment of anthrax. Analysis of WGS data allows for the rapid detection of mutations in antimicrobial resistance (AMR) genes in an isolate, but the presence of a mutation in an AMR gene does not always accurately predict resistance. As mutations in the anti-sigma factor RsiP have been previously associated with high-level penicillin resistance in a limited number of strains, we investigated WGS assemblies from 374 strains to determine the frequency of mutations and performed functional antimicrobial susceptibility testing. Of the five strains that contained mutations in rsiP, only four were PEN-R by functional antimicrobial susceptibility testing. We conclude that while sequence analysis of this region is useful for AMR prediction in B. anthracis, genetic analysis should not be used exclusively and phenotypic susceptibility testing remains essential.
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Affiliation(s)
- A. S. Gargis
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H. P. McLaughlin
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - A. B. Conley
- IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia, USA
| | - C. Lascols
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - P. A. Michel
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - J. E. Gee
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - C. K. Marston
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - C. B. Kolton
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - L. M. Rodriguez-R
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - A. R. Hoffmaster
- Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - L. M. Weigel
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - D. Sue
- Division of Preparedness and Emerging Infections, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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247
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Kelley BR, Ellis JC, Hyatt D, Jacobson D, Johnson J. Isolation and Whole-Genome Sequencing of Environmental Campylobacter. ACTA ACUST UNITED AC 2018; 51:e64. [PMID: 30369079 DOI: 10.1002/cpmc.64] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
As a leading cause of bacterial-derived gastroenteritis worldwide, Campylobacter has a significant impact on human health. In the developed world, most campylobacteriosis cases are attributed to the consumption of undercooked, contaminated poultry; however, it has been shown that Campylobacter can be transmitted to humans through contaminated water and other types of food, including beef and milk. As such, high-resolution microbial source-tracking is essential for health department officials to determine the source(s) of Campylobacter outbreaks. For these reasons, this protocol provides the techniques needed for isolation of Campylobacter from agricultural and environmental sources, as well as human clinical specimens. Additionally, we describe a simple method for preparing high-quality genomic DNA that can be used for whole-genome sequencing and downstream bioinformatics analyses of Campylobacter genotypes. © 2018 by John Wiley & Sons, Inc.
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Affiliation(s)
- Brittni R Kelley
- Department of Microbiology, University of Tennessee, Knoxville, Tennessee
| | | | - Doug Hyatt
- Oak Ridge National Laboratory, Oak Ridge, Tennessee.,Bredesen Center, University of Tennessee, Knoxville, Tennessee
| | - Dan Jacobson
- Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - Jeremiah Johnson
- Department of Microbiology, University of Tennessee, Knoxville, Tennessee
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248
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Cabibbe AM, Walker TM, Niemann S, Cirillo D. Whole genome sequencing of Mycobacterium tuberculosis. Eur Respir J 2018; 52:13993003.01163-2018. [DOI: 10.1183/13993003.01163-2018] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 09/02/2018] [Indexed: 11/05/2022]
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249
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Patel R, Fang FC. Diagnostic Stewardship: Opportunity for a Laboratory-Infectious Diseases Partnership. Clin Infect Dis 2018; 67:799-801. [PMID: 29547995 PMCID: PMC6093996 DOI: 10.1093/cid/ciy077] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 01/29/2018] [Indexed: 12/29/2022] Open
Abstract
Recent advances in microbial diagnostics are providing clinicians with information about microbes causing infections and their resistance to antimicrobial agents more rapidly than ever before. Diagnostic stewardship refers to the appropriate use of laboratory testing to guide patient management, including treatment, in order to optimize clinical outcomes and limit the spread of antimicrobial resistance. Fulfilling the promise of diagnostic stewardship requires a seamless partnership between clinical laboratories, pharmacists, and infectious diseases clinicians, so that appropriate tests are ordered and diagnostic information is translated into appropriate management in real time.
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Affiliation(s)
- Robin Patel
- Divisions of Clinical Microbiology and Infectious Diseases, Departments of Laboratory Medicine and Pathology and Medicine, Mayo Clinic, Rochester, Minnesota
| | - Ferric C Fang
- Departments of Laboratory Medicine and Microbiology, University of Washington School of Medicine, Seattle
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250
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Duan J, Li M, Hao Z, Shen X, Liu L, Jin Y, Wang S, Guo Y, Yang L, Wang L, Yu F. Subinhibitory concentrations of resveratrol reduce alpha-hemolysin production in Staphylococcus aureus isolates by downregulating saeRS. Emerg Microbes Infect 2018; 7:136. [PMID: 30065273 PMCID: PMC6068196 DOI: 10.1038/s41426-018-0142-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 06/29/2018] [Accepted: 07/03/2018] [Indexed: 12/15/2022]
Abstract
Resveratrol is a natural phytoalexin. In recent studies, it has been shown to have beneficial effects on cardiovascular disease and cancer and has been deemed to have effective antiviral and immunomodulatory activities. Methicillin-resistant Staphylococcus aureus is a multidrug-resistant pathogen associated with skin and soft tissue infections. Alpha-hemolysin is known to play a key role in the symptoms caused by S. aureus, and the saeRS two-component system has been shown to be a major regulatory system of S. aureus virulence. The present study was designed to determine the effect of subinhibitory concentrations of resveratrol on the production of alpha-hemolysin in S. aureus. The effect of resveratrol on the transcription of S. aureus was studied by transcriptome sequencing. A total of 760 genes with >2-fold changes in expression were selected, including 479 upregulated genes and 281 downregulated genes. On the basis of transcriptome sequencing, the expression of alpha-hemolysin in the S. aureus strains of the resveratrol-treated group was downregulated. Our results showed that resveratrol weakly inhibited the growth of S. aureus strains, and subinhibitory concentration of resveratrol decreased the expression of hla and inhibited the regulation of saeRS. Hemolysis testing confirmed that resveratrol had an inhibitory effect on the hemolysis of rabbit erythrocytes infected with S. aureus strains in a dose-dependent manner. Resveratrol also decreased the hemolytic capacity by reducing the production of alpha-hemolysin. We found that resveratrol could decrease the expression of hla and reduce the secretion of alpha-hemolysin by downregulating saeRS. These findings have provided more evidence of the potential of resveratrol as a drug for resisting S. aureus infections.
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Affiliation(s)
- Jingjing Duan
- Department of Laboratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Meilan Li
- Emergency Intensive Care Unit, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200082, China
| | - Zhihao Hao
- Department of Laboratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Xiaofei Shen
- Department of Respiratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Li Liu
- Department of Laboratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Ye Jin
- Department of Laboratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Shanshan Wang
- Department of Laboratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Yinjuan Guo
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200082, China
| | - Lehe Yang
- Department of Respiratory Medicine, Affiliated Yueqing Hospital of Wenzhou Medical University, Wenzhou, 325600, China
| | - Liangxing Wang
- Department of Respiratory Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
| | - Fangyou Yu
- Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200082, China.
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