51
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Griffin PC, Khadake J, LeMay KS, Lewis SE, Orchard S, Pask A, Pope B, Roessner U, Russell K, Seemann T, Treloar A, Tyagi S, Christiansen JH, Dayalan S, Gladman S, Hangartner SB, Hayden HL, Ho WWH, Keeble-Gagnère G, Korhonen PK, Neish P, Prestes PR, Richardson MF, Watson-Haigh NS, Wyres KL, Young ND, Schneider MV. Best practice data life cycle approaches for the life sciences. F1000Res 2018; 6:1618. [PMID: 30109017 DOI: 10.12688/f1000research.12344.1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/17/2017] [Indexed: 11/20/2022] Open
Abstract
Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards biology as a data science and towards a 'life cycle' view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular research domain. Here we provide an overview of best practice data life cycle approaches for researchers in the life sciences/bioinformatics space with a particular focus on 'omics' datasets and computer-based data processing and analysis. We discuss the different stages of the data life cycle and provide practical suggestions for useful tools and resources to improve data management practices.
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Affiliation(s)
- Philippa C Griffin
- EMBL Australia Bioinformatics Resource, The University of Melbourne, Parkville, VIC, 3010, Australia.,Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Jyoti Khadake
- NIHR BioResource, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust Hills Road, Cambridge , CB2 0QQ, UK
| | - Kate S LeMay
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Suzanna E Lewis
- Lawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, CA, 94720, USA
| | - Sandra Orchard
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Cambridge, CB10 1SD, UK
| | - Andrew Pask
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Bernard Pope
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Ute Roessner
- Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Keith Russell
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Torsten Seemann
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Andrew Treloar
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Sonika Tyagi
- Australian Genome Research Facility Ltd, Parkville, VIC, 3052, Australia.,Monash Bioinformatics Platform, Monash University, Clayton, VIC, 3800, Australia
| | - Jeffrey H Christiansen
- Queensland Cyber Infrastructure Foundation and the University of Queensland Research Computing Centre, St Lucia, QLD, 4072, Australia
| | - Saravanan Dayalan
- Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Simon Gladman
- EMBL Australia Bioinformatics Resource, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Sandra B Hangartner
- School of Biological Sciences, Monash University, Clayton, VIC, 3800, Australia
| | - Helen L Hayden
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Bundoora, VIC, 3083, Australia
| | - William W H Ho
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Gabriel Keeble-Gagnère
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia.,Agriculture Victoria, AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Bundoora, VIC, 3083, Australia
| | - Pasi K Korhonen
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Peter Neish
- The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Priscilla R Prestes
- Faculty of Science and Engineering, Federation University Australia, Mt Helen , VIC, 3350, Australia
| | - Mark F Richardson
- Bioinformatics Core Research Group & Centre for Integrative Ecology, Deakin University, Geelong, VIC, 3220, Australia
| | - Nathan S Watson-Haigh
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia
| | - Kelly L Wyres
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Neil D Young
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Maria Victoria Schneider
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia.,The University of Melbourne, Parkville, VIC, 3010, Australia
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Herisse M, Porter JL, Guerillot R, Tomita T, Goncalves Da Silva A, Seemann T, Howden BP, Stinear TP, Pidot SJ. The ΦBT1 large serine recombinase catalyzes DNA integration at pseudo- attB sites in the genus Nocardia. PeerJ 2018; 6:e4784. [PMID: 29740520 PMCID: PMC5937489 DOI: 10.7717/peerj.4784] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 04/27/2018] [Indexed: 12/17/2022] Open
Abstract
Plasmid vectors based on bacteriophage integrases are important tools in molecular microbiology for the introduction of foreign DNA, especially into bacterial species where other systems for genetic manipulation are limited. Site specific integrases catalyze recombination between phage and bacterial attachment sites (attP and attB, respectively) and the best studied integrases in the actinomycetes are the serine integrases from the Streptomyces bacteriophages ΦC31 and ΦBT1. As this reaction is unidirectional and highly stable, vectors containing phage integrase systems have been used in a number of genetic engineering applications. Plasmids bearing the ΦBT1 integrase have been used to introduce DNA into Streptomyces and Amycolatopsis strains; however, they have not been widely studied in other actinobacterial genera. Here, we show that vectors based on ΦBT1 integrase can stably integrate into the chromosomes of a range of Nocardia species, and that this integration occurs despite the absence of canonical attB sites in these genomes. Furthermore, we show that a ΦBT1 integrase-based vector can insert at multiple pseudo-attB sites within a single strain and we determine the sequence of a pseudo-attB motif. These data suggest that ΦBT1 integrase-based vectors can be used to readily and semi-randomly introduce foreign DNA into the genomes of a range of Nocardia species. However, the precise site of insertion will likely require empirical determination in each species to avoid unexpected off-target effects.
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Affiliation(s)
- Marion Herisse
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia
| | - Jessica L Porter
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia
| | - Romain Guerillot
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia
| | - Takehiro Tomita
- Microbiological Diagnostic Unit, University of Melbourne, Melbourne, VIC, Australia
| | - Anders Goncalves Da Silva
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit, University of Melbourne, Melbourne, VIC, Australia
| | - Torsten Seemann
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit, University of Melbourne, Melbourne, VIC, Australia
| | - Benjamin P Howden
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit, University of Melbourne, Melbourne, VIC, Australia.,Doherty Applied Microbial Genomics, University of Melbourne, Melbourne, VIC, Australia
| | - Timothy P Stinear
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit, University of Melbourne, Melbourne, VIC, Australia.,Doherty Applied Microbial Genomics, University of Melbourne, Melbourne, VIC, Australia
| | - Sacha J Pidot
- Department of Microbiology and Immunology at the Doherty Institute, University of Melbourne, Melbourne, VIC, Australia
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53
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Gulliver EL, Wright A, Lucas DD, Mégroz M, Kleifeld O, Schittenhelm RB, Powell DR, Seemann T, Bulitta JB, Harper M, Boyce JD. Determination of the small RNA GcvB regulon in the Gram-negative bacterial pathogen Pasteurella multocida and identification of the GcvB seed binding region. RNA 2018; 24:704-720. [PMID: 29440476 PMCID: PMC5900567 DOI: 10.1261/rna.063248.117] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 02/01/2018] [Indexed: 05/12/2023]
Abstract
Pasteurella multocida is a Gram-negative bacterium responsible for many important animal diseases. While a number of P. multocida virulence factors have been identified, very little is known about how gene expression and protein production is regulated in this organism. Small RNA (sRNA) molecules are critical regulators that act by binding to specific mRNA targets, often in association with the RNA chaperone protein Hfq. In this study, transcriptomic analysis of the P. multocida strain VP161 revealed a putative sRNA with high identity to GcvB from Escherichia coli and Salmonella enterica serovar Typhimurium. High-throughput quantitative liquid proteomics was used to compare the proteomes of the P. multocida VP161 wild-type strain, a gcvB mutant, and a GcvB overexpression strain. These analyses identified 46 proteins that displayed significant differential production after inactivation of gcvB, 36 of which showed increased production. Of the 36 proteins that were repressed by GcvB, 27 were predicted to be involved in amino acid biosynthesis or transport. Bioinformatic analyses of putative P. multocida GcvB target mRNAs identified a strongly conserved 10 nucleotide consensus sequence, 5'-AACACAACAT-3', with the central eight nucleotides identical to the seed binding region present within GcvB mRNA targets in E. coli and S. Typhimurium. Using a defined set of seed region mutants, together with a two-plasmid reporter system that allowed for quantification of sRNA-mRNA interactions, this sequence was confirmed to be critical for the binding of the P. multocida GcvB to the target mRNA, gltA.
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Affiliation(s)
- Emily L Gulliver
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
| | - Amy Wright
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
| | - Deanna Deveson Lucas
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
| | - Marianne Mégroz
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
| | - Oded Kleifeld
- Monash Biomedical Proteomics Facility, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Ralf B Schittenhelm
- Monash Biomedical Proteomics Facility, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - David R Powell
- Monash Bioinformatics Platform, Monash University, Clayton, Victoria 3800, Australia
| | - Torsten Seemann
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
- Victorian Life Sciences Computation Initiative, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - Jürgen B Bulitta
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida 32827, USA
| | - Marina Harper
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
| | - John D Boyce
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
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54
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Gherardin NA, Souter MN, Koay HF, Mangas KM, Seemann T, Stinear TP, Eckle SB, Berzins SP, d'Udekem Y, Konstantinov IE, Fairlie DP, Ritchie DS, Neeson PJ, Pellicci DG, Uldrich AP, McCluskey J, Godfrey DI. Human blood MAIT cell subsets defined using MR1 tetramers. Immunol Cell Biol 2018; 96:507-525. [PMID: 29437263 PMCID: PMC6446826 DOI: 10.1111/imcb.12021] [Citation(s) in RCA: 164] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 12/10/2017] [Accepted: 02/07/2018] [Indexed: 12/11/2022]
Abstract
Mucosal‐associated invariant T (MAIT) cells represent up to 10% of circulating human T cells. They are usually defined using combinations of non‐lineage‐specific (surrogate) markers such as anti‐TRAV1‐2, CD161, IL‐18Rα and CD26. The development of MR1‐Ag tetramers now permits the specific identification of MAIT cells based on T‐cell receptor specificity. Here, we compare these approaches for identifying MAIT cells and show that surrogate markers are not always accurate in identifying these cells, particularly the CD4+ fraction. Moreover, while all MAIT cell subsets produced comparable levels of IFNγ, TNF and IL‐17A, the CD4+ population produced more IL‐2 than the other subsets. In a human ontogeny study, we show that the frequencies of most MR1 tetramer+ MAIT cells, with the exception of CD4+ MAIT cells, increased from birth to about 25 years of age and declined thereafter. We also demonstrate a positive association between the frequency of MAIT cells and other unconventional T cells including Natural Killer T (NKT) cells and Vδ2+ γδ T cells. Accordingly, this study demonstrates that MAIT cells are phenotypically and functionally diverse, that surrogate markers may not reliably identify all of these cells, and that their numbers are regulated in an age‐dependent manner and correlate with NKT and Vδ2+ γδ T cells.
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Affiliation(s)
- Nicholas A Gherardin
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Michael Nt Souter
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Hui-Fern Koay
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Kirstie M Mangas
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Torsten Seemann
- Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton, VIC, 3053, Australia
| | - Timothy P Stinear
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Sidonia Bg Eckle
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Stuart P Berzins
- Federation University Australia, Ballarat, VIC, 3350, Australia.,Fiona Elsey Cancer Research Institute, Ballarat, VIC, 3350, Australia
| | - Yves d'Udekem
- Royal Children's Hospital, Flemington Road, Parkville, VIC, 3052, Australia
| | | | - David P Fairlie
- Division of Chemistry & Structural Biology, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Queensland, Brisbane, QLD, 4072, Australia
| | - David S Ritchie
- Cancer Immunology Program, Peter MacCallum Cancer Centre, East Melbourne, VIC, 3002, Australia.,Department of Medicine, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Paul J Neeson
- Cancer Immunology Program, Peter MacCallum Cancer Centre, East Melbourne, VIC, 3002, Australia
| | - Daniel G Pellicci
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, VIC, 3010, Australia
| | - Adam P Uldrich
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, VIC, 3010, Australia
| | - James McCluskey
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Dale I Godfrey
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of Melbourne, Parkville, VIC, 3010, Australia
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55
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Mahony AA, Buultjens AH, Ballard SA, Grabsch EA, Xie S, Seemann T, Stuart RL, Kotsanas D, Cheng A, Heffernan H, Roberts SA, Coombs GW, Bak N, Ferguson JK, Carter GC, Howden BP, Stinear TP, Johnson PDR. Vancomycin-resistant Enterococcus faecium sequence type 796 - rapid international dissemination of a new epidemic clone. Antimicrob Resist Infect Control 2018; 7:44. [PMID: 29588851 PMCID: PMC5863837 DOI: 10.1186/s13756-018-0335-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 03/14/2018] [Indexed: 02/07/2023] Open
Abstract
Background Vancomycin-resistant Enterococcus faecium (VRE) is a leading cause of hospital-acquired infections. New, presumably better-adapted strains of VRE appear unpredictably; it is uncertain how they spread despite improved infection control. We aimed to investigate the relatedness of a novel sequence type (ST) of vanB E. faecium - ST796 - very near its time of origin from hospitals in three Australian states and New Zealand. Methods Following near-simultaneous outbreaks of ST796 in multiple institutions, we gathered then tested colonization and bloodstream infection isolates’ antimicrobial resistance (AMR) phenotypes, and phylogenomic relationships using whole genome sequencing (WGS). Patient meta-data was explored to trace the spread of ST796. Results A novel clone of vanB E. faecium (ST796) was first detected at one Australian hospital in late 2011, then in two New Zealand hospitals linked by inter-hospital transfers from separate Melbourne hospitals. ST796 also appeared in hospitals in South Australia and New South Wales and was responsible for at least one major colonization outbreak in a Neonatal Intensive Care Unit without identifiable links between centers. No exceptional AMR was detected in the isolates. While WGS analysis showed very limited diversity at the core genome, consistent with recent emergence of the clone, clustering by institution was observed. Conclusions Evolution of new E. faecium clones, followed by recognized or unrecognized movement of colonized individuals then rapid intra-institutional cross-transmission best explain the multi-center, multistate and international outbreak we observed. Electronic supplementary material The online version of this article (10.1186/s13756-018-0335-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrew A Mahony
- 1Department of Infectious Diseases, Austin Health, 145 Studley Rd, Heidelberg, VIC 3084 Australia.,2Department of Medicine, The University of Melbourne, Heidelberg, VIC 3084 Australia
| | - Andrew H Buultjens
- 3Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
| | - Susan A Ballard
- 1Department of Infectious Diseases, Austin Health, 145 Studley Rd, Heidelberg, VIC 3084 Australia.,4Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
| | | | - Shirley Xie
- 5Department of Microbiology, Austin Health, Heidelberg, VIC 3084 Australia
| | - Torsten Seemann
- 6Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC 3010 Australia
| | - Rhonda L Stuart
- 7Monash Infectious Diseases, Monash Health, Clayton, VIC 3168 Australia
| | - Despina Kotsanas
- 7Monash Infectious Diseases, Monash Health, Clayton, VIC 3168 Australia
| | - Allen Cheng
- 8Department of Infectious Diseases, Alfred Health, School of Public Health and Preventive Medicine, Monash University, Prahran, VIC 3181 Australia
| | - Helen Heffernan
- 9Antimicrobial Reference Laboratory, Institute of Environmental Science and Research (ESR), Wellington, 5022 New Zealand
| | - Sally A Roberts
- 10Department of Clinical Microbiology, Auckland District Health Board, Auckland, 1051 New Zealand
| | - Geoffrey W Coombs
- 11School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150 Australia.,12Microbiology Department, PathWest Laboratory Medicine - WA, Fiona Stanley Hospital, Murdoch, WA 6150 Australia
| | - Narin Bak
- 13Department of Infectious Diseases, Royal Adelaide Hospital, Adelaide, South Australia 5000 Australia
| | - John K Ferguson
- Division of Microbiology, Health Pathology, NSW Department of Immunology and Infectious Diseases, John Hunter Hospital, University of Newcastle, Newcastle, NSW 2305 Australia
| | - Glen C Carter
- 4Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
| | - Benjamin P Howden
- 3Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia.,4Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
| | - Timothy P Stinear
- 3Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
| | - Paul D R Johnson
- 1Department of Infectious Diseases, Austin Health, 145 Studley Rd, Heidelberg, VIC 3084 Australia.,2Department of Medicine, The University of Melbourne, Heidelberg, VIC 3084 Australia.,3Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000 Australia
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56
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Ford L, Wang Q, Stafford R, Ressler KA, Norton S, Shadbolt C, Hope K, Franklin N, Krsteski R, Carswell A, Carter GP, Seemann T, Howard P, Valcanis M, Castillo CFS, Bates J, Glass K, Williamson DA, Sintchenko V, Howden BP, Kirk MD. Seven Salmonella Typhimurium Outbreaks in Australia Linked by Trace-Back and Whole Genome Sequencing. Foodborne Pathog Dis 2018; 15:285-292. [PMID: 29638170 DOI: 10.1089/fpd.2017.2353] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Salmonella Typhimurium is a common cause of foodborne illness in Australia. We report on seven outbreaks of Salmonella Typhimurium multilocus variable-number tandem-repeat analysis (MLVA) 03-26-13-08-523 (European convention 2-24-12-7-0212) in three Australian states and territories investigated between November 2015 and March 2016. We identified a common egg grading facility in five of the outbreaks. While no Salmonella Typhimurium was detected at the grading facility and eggs could not be traced back to a particular farm, whole genome sequencing (WGS) of isolates from cases from all seven outbreaks indicated a common source. WGS was able to provide higher discriminatory power than MLVA and will likely link more Salmonella Typhimurium cases between states and territories in the future. National harmonization of Salmonella surveillance is important for effective implementation of WGS for Salmonella outbreak investigations.
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Affiliation(s)
- Laura Ford
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia .,2 OzFoodNet, Health Protection Service , Population Health Protection and Prevention, ACT Health, Canberra, Australia
| | - Qinning Wang
- 3 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia
| | - Russell Stafford
- 4 Communicable Diseases Branch, Prevention Division, Queensland Health , Brisbane, Australia
| | - Kelly-Anne Ressler
- 5 South Eastern Sydney Local Health District , NSW Health, Sydney, Australia
| | - Sophie Norton
- 6 Western Sydney Local Health District , NSW Health, Penrith, Australia
| | | | - Kirsty Hope
- 8 New South Wales Ministry of Health , Sydney, Australia
| | - Neil Franklin
- 8 New South Wales Ministry of Health , Sydney, Australia
| | - Radomir Krsteski
- 2 OzFoodNet, Health Protection Service , Population Health Protection and Prevention, ACT Health, Canberra, Australia
| | - Adrienne Carswell
- 2 OzFoodNet, Health Protection Service , Population Health Protection and Prevention, ACT Health, Canberra, Australia
| | - Glen P Carter
- 9 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Torsten Seemann
- 9 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Peter Howard
- 3 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia
| | - Mary Valcanis
- 10 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Cristina Fabiola Sotomayor Castillo
- 3 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia .,11 Sydney Medical School-Westmead, The University of Sydney , Sydney, Australia .,12 Instituto de Salud Publica , Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile .,13 Centre for Infectious Diseases and Microbiology-Public Health, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney , Sydney, Australia
| | - John Bates
- 14 Public Health Microbiology , Public & Environmental Health, Forensic and Scientific Services, Health Support Queensland, Department of Health, Coopers Plains, Australia
| | - Kathryn Glass
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia
| | - Deborah A Williamson
- 9 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,10 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Vitali Sintchenko
- 3 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia .,13 Centre for Infectious Diseases and Microbiology-Public Health, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney , Sydney, Australia
| | - Benjamin P Howden
- 9 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,10 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,15 Infectious Diseases Department, Austin Health , Heidelberg, Australia
| | - Martyn D Kirk
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia
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57
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Smibert OC, Aung AK, Woolnough E, Carter GP, Schultz MB, Howden BP, Seemann T, Spelman D, McGloughlin S, Peleg AY. Mobile phones and computer keyboards: unlikely reservoirs of multidrug-resistant organisms in the tertiary intensive care unit. J Hosp Infect 2018; 99:295-298. [PMID: 29501730 DOI: 10.1016/j.jhin.2018.02.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 02/09/2018] [Indexed: 11/24/2022]
Abstract
Few studies have used molecular epidemiological methods to study transmission links to clinical isolates in intensive care units. Ninety-four multidrug-resistant organisms (MDROs) cultured from routine specimens from intensive care unit (ICU) patients over 13 weeks were stored (11 meticillin-resistant Staphylococcus aureus (MRSA), two vancomycin-resistant enterococci and 81 Gram-negative bacteria). Medical staff personal mobile phones, departmental phones, and ICU keyboards were swabbed and cultured for MDROs; MRSA was isolated from two phones. Environmental and patient isolates of the same genus were selected for whole genome sequencing. On whole genome sequencing, the mobile phone isolates had a pairwise single nucleotide polymorphism (SNP) distance of 183. However, >15,000 core genome SNPs separated the mobile phone and clinical isolates. In a low-endemic setting, mobile phones and keyboards appear unlikely to contribute to hospital-acquired MDROs.
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Affiliation(s)
- O C Smibert
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia.
| | - A K Aung
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - E Woolnough
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - G P Carter
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Victoria, Australia
| | - M B Schultz
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Victoria, Australia
| | - B P Howden
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Victoria, Australia
| | - T Seemann
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Victoria, Australia
| | - D Spelman
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - S McGloughlin
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - A Y Peleg
- Department of Infectious Diseases, The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Victoria, Australia; Infection and Immunity Program, Biomedicine Discovery Institute, Department of Microbiology, Monash University, Clayton, Victoria, Australia
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58
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Velkov T, Gallardo-Godoy A, Swarbrick JD, Blaskovich MAT, Elliott AG, Han M, Thompson PE, Roberts KD, Huang JX, Becker B, Butler MS, Lash LH, Henriques ST, Nation RL, Sivanesan S, Sani MA, Separovic F, Mertens H, Bulach D, Seemann T, Owen J, Li J, Cooper MA. Structure, Function, and Biosynthetic Origin of Octapeptin Antibiotics Active against Extensively Drug-Resistant Gram-Negative Bacteria. Cell Chem Biol 2018; 25:380-391.e5. [PMID: 29396290 DOI: 10.1016/j.chembiol.2018.01.005] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 09/03/2017] [Accepted: 12/29/2017] [Indexed: 01/06/2023]
Abstract
Resistance to the last-resort antibiotic colistin is now widespread and new therapeutics are urgently required. We report the first in toto chemical synthesis and pre-clinical evaluation of octapeptins, a class of lipopeptides structurally related to colistin. The octapeptin biosynthetic cluster consisted of three non-ribosomal peptide synthetases (OctA, OctB, and OctC) that produced an amphiphilic antibiotic, octapeptin C4, which was shown to bind to and depolarize membranes. While active against multi-drug resistant (MDR) strains in vitro, octapeptin C4 displayed poor in vivo efficacy, most likely due to high plasma protein binding. Nuclear magnetic resonance solution structures, empirical structure-activity and structure-toxicity models were used to design synthetic octapeptins active against MDR and extensively drug-resistant (XDR) bacteria. The scaffold was then subtly altered to reduce plasma protein binding, while maintaining activity against MDR and XDR bacteria. In vivo efficacy was demonstrated in a murine bacteremia model with a colistin-resistant P. aeruginosa clinical isolate.
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Affiliation(s)
- Tony Velkov
- Department of Pharmacology & Therapeutics, School of Biomedical Sciences, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC 3010, Australia.
| | | | - James D Swarbrick
- Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Mark A T Blaskovich
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Alysha G Elliott
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Meiling Han
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Philip E Thompson
- Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Kade D Roberts
- Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Johnny X Huang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Bernd Becker
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Mark S Butler
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Lawrence H Lash
- Department of Pharmacology, Wayne State University, School of Medicine, 540 East Canfield Avenue, Detroit, MI 48201, USA
| | - Sónia Troeira Henriques
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Roger L Nation
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Sivashangarie Sivanesan
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia
| | - Marc-Antoine Sani
- School of Chemistry, Bio21 Institute, University of Melbourne, Parkville, VIC 3010, Australia
| | - Frances Separovic
- School of Chemistry, Bio21 Institute, University of Melbourne, Parkville, VIC 3010, Australia
| | | | - Dieter Bulach
- Department of Immunology and Microbiology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Torsten Seemann
- Department of Immunology and Microbiology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Jeremy Owen
- School of Biological Sciences, Victoria University, Wellington 6012, New Zealand
| | - Jian Li
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, 3052 VIC, Australia.
| | - Matthew A Cooper
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.
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59
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Williamson DA, Baines SL, Carter GP, da Silva AG, Ren X, Sherwood J, Dufour M, Schultz MB, French NP, Seemann T, Stinear TP, Howden BP. Genomic Insights into a Sustained National Outbreak of Yersinia pseudotuberculosis. Genome Biol Evol 2018; 8:3806-3814. [PMID: 28173076 PMCID: PMC5521734 DOI: 10.1093/gbe/evw285] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2016] [Indexed: 12/26/2022] Open
Abstract
In 2014, a sustained outbreak of yersiniosis due to Yersinia pseudotuberculosis occurred across all major cities in New Zealand (NZ), with a total of 220 laboratory-confirmed cases, representing one of the largest ever reported outbreaks of Y. pseudotuberculosis. Here, we performed whole genome sequencing of outbreak-associated isolates to produce the largest population analysis to date of Y. pseudotuberculosis, giving us unprecedented capacity to understand the emergence and evolution of the outbreak clone. Multivariate analysis incorporating our genomic and clinical epidemiological data strongly suggested a single point-source contamination of the food chain, with subsequent nationwide distribution of contaminated produce. We additionally uncovered significant diversity in key determinants of virulence, which we speculate may help explain the high morbidity linked to this outbreak.
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Affiliation(s)
- Deborah A Williamson
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sarah L Baines
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Glen P Carter
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Anders Gonçalves da Silva
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Xiaoyun Ren
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Jill Sherwood
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Muriel Dufour
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Mark B Schultz
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Nigel P French
- Infectious Disease Research Centre, Massey University, Palmerston North, New Zealand
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
- Victorian Life Sciences Computation Initiative, The University of Melbourne, Melbourne, Australia
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Benjamin P Howden
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
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60
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Ford L, Carter GP, Wang Q, Seemann T, Sintchenko V, Glass K, Williamson DA, Howard P, Valcanis M, Castillo CFS, Sait M, Howden BP, Kirk MD. Incorporating Whole-Genome Sequencing into Public Health Surveillance: Lessons from Prospective Sequencing of Salmonella Typhimurium in Australia. Foodborne Pathog Dis 2018; 15:161-167. [PMID: 29336594 DOI: 10.1089/fpd.2017.2352] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
In Australia, the incidence of Salmonella Typhimurium has increased dramatically over the past decade. Whole-genome sequencing (WGS) is transforming public health microbiology, but poses challenges for surveillance. To compare WGS-based approaches with conventional typing for Salmonella surveillance, we performed concurrent WGS and multilocus variable-number tandem-repeat analysis (MLVA) of Salmonella Typhimurium isolates from the Australian Capital Territory (ACT) for a period of 5 months. We exchanged data via a central shared virtual machine and performed comparative genomic analyses. Epidemiological evidence was integrated with WGS-derived data to identify related isolates and sources of infection, and we compared WGS data for surveillance with findings from MLVA typing. We found that WGS data combined with epidemiological data linked an additional 9% of isolates to at least one other isolate in the study in contrast to MLVA and epidemiological data, and 19% more isolates than epidemiological data alone. Analysis of risk factors showed that in one WGS-defined cluster, human cases had higher odds of purchasing a single egg brand. While WGS was more sensitive and specific than conventional typing methods, we identified barriers to uptake of genomic surveillance around complexity of reporting of WGS results, timeliness, acceptability, and stability. In conclusion, WGS offers higher resolution of Salmonella Typhimurium laboratory surveillance than existing methods and can provide further evidence on sources of infection in case and outbreak investigations for public health action. However, there are several challenges that need to be addressed for effective implementation of genomic surveillance in Australia.
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Affiliation(s)
- Laura Ford
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia .,2 OzFoodNet, Health Protection Service, Population Health Protection and Prevention , ACT Health, Canberra, Australia
| | - Glen P Carter
- 3 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Qinning Wang
- 4 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia
| | - Torsten Seemann
- 3 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Vitali Sintchenko
- 4 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia .,5 Centre for Infectious Diseases and Microbiology-Public Health, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney , Sydney, Australia
| | - Kathryn Glass
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia
| | - Deborah A Williamson
- 3 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,6 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Peter Howard
- 4 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia
| | - Mary Valcanis
- 6 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia
| | - Cristina Fabiola Sotomayor Castillo
- 4 Centre for Infectious Diseases and Microbiology Laboratory Services, Pathology West-Institute of Clinical Pathology and Medical Research , Sydney, Australia .,5 Centre for Infectious Diseases and Microbiology-Public Health, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney , Sydney, Australia .,7 Sydney Medical School-Westmead, The University of Sydney , Sydney, Australia .,8 Instituto de Salud Publica , Facultad de Medicina, Universidad Austral de Chile, Valdivia, Chile
| | - Michelle Sait
- 5 Centre for Infectious Diseases and Microbiology-Public Health, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney , Sydney, Australia
| | - Benjamin P Howden
- 3 Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,6 Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity , Melbourne, Australia .,9 Infectious Diseases Department, Austin Health , Heidelberg, Australia
| | - Martyn D Kirk
- 1 National Centre for Epidemiology and Population Health, Research School of Population Health, The Australian National University , Canberra, Australia
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61
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Kwong JC, Lane CR, Romanes F, Gonçalves da Silva A, Easton M, Cronin K, Waters MJ, Tomita T, Stevens K, Schultz MB, Baines SL, Sherry NL, Carter GP, Mu A, Sait M, Ballard SA, Seemann T, Stinear TP, Howden BP. Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak. PeerJ 2018; 6:e4210. [PMID: 29312831 PMCID: PMC5756455 DOI: 10.7717/peerj.4210] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 12/09/2017] [Indexed: 12/21/2022] Open
Abstract
Background Until recently, Klebsiella pneumoniae carbapenemase (KPC)-producing Enterobacteriaceae were rarely identified in Australia. Following an increase in the number of incident cases across the state of Victoria, we undertook a real-time combined genomic and epidemiological investigation. The scope of this study included identifying risk factors and routes of transmission, and investigating the utility of genomics to enhance traditional field epidemiology for informing management of established widespread outbreaks. Methods All KPC-producing Enterobacteriaceae isolates referred to the state reference laboratory from 2012 onwards were included. Whole-genome sequencing was performed in parallel with a detailed descriptive epidemiological investigation of each case, using Illumina sequencing on each isolate. This was complemented with PacBio long-read sequencing on selected isolates to establish high-quality reference sequences and interrogate characteristics of KPC-encoding plasmids. Results Initial investigations indicated that the outbreak was widespread, with 86 KPC-producing Enterobacteriaceae isolates (K. pneumoniae 92%) identified from 35 different locations across metropolitan and rural Victoria between 2012 and 2015. Initial combined analyses of the epidemiological and genomic data resolved the outbreak into distinct nosocomial transmission networks, and identified healthcare facilities at the epicentre of KPC transmission. New cases were assigned to transmission networks in real-time, allowing focussed infection control efforts. PacBio sequencing confirmed a secondary transmission network arising from inter-species plasmid transmission. Insights from Bayesian transmission inference and analyses of within-host diversity informed the development of state-wide public health and infection control guidelines, including interventions such as an intensive approach to screening contacts following new case detection to minimise unrecognised colonisation. Conclusion A real-time combined epidemiological and genomic investigation proved critical to identifying and defining multiple transmission networks of KPC Enterobacteriaceae, while data from either investigation alone were inconclusive. The investigation was fundamental to informing infection control measures in real-time and the development of state-wide public health guidelines on carbapenemase-producing Enterobacteriaceae surveillance and management.
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Affiliation(s)
- Jason C Kwong
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Infectious Diseases, Austin Health, Heidelberg, VIC, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Courtney R Lane
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Health Protection Branch, Department of Health and Human Services, Victoria State Government, Melbourne, VIC, Australia
| | - Finn Romanes
- Health Protection Branch, Department of Health and Human Services, Victoria State Government, Melbourne, VIC, Australia
| | - Anders Gonçalves da Silva
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Marion Easton
- Health Protection Branch, Department of Health and Human Services, Victoria State Government, Melbourne, VIC, Australia
| | - Katie Cronin
- Department of Microbiology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Mary Jo Waters
- Department of Microbiology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Takehiro Tomita
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Kerrie Stevens
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Mark B Schultz
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Sarah L Baines
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Norelle L Sherry
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Infectious Diseases, Austin Health, Heidelberg, VIC, Australia
| | - Glen P Carter
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Andre Mu
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Michelle Sait
- Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Susan A Ballard
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, Australia
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Benjamin P Howden
- Doherty Applied Microbial Genomics, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.,Department of Infectious Diseases, Austin Health, Heidelberg, VIC, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
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Kwong JC, Chow EPF, Stevens K, Stinear TP, Seemann T, Fairley CK, Chen MY, Howden BP. Whole-genome sequencing reveals transmission of gonococcal antibiotic resistance among men who have sex with men: an observational study. Sex Transm Infect 2017; 94:151-157. [PMID: 29247013 PMCID: PMC5870456 DOI: 10.1136/sextrans-2017-053287] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 11/10/2017] [Accepted: 11/25/2017] [Indexed: 01/03/2023] Open
Abstract
Objectives Drug-resistant Neisseria gonorrhoeae are now a global public health threat. Direct transmission of antibiotic-resistant gonococci between individuals has been proposed as a driver for the increased transmission of resistance, but direct evidence of such transmission is limited. Whole-genome sequencing (WGS) has superior resolution to investigate outbreaks and disease transmission compared with traditional molecular typing methods such as multilocus sequence typing (MLST) and N. gonorrhoeae multiantigen sequence (NG-MAST). We therefore aimed to systematically investigate the transmission of N. gonorrhoeae between men in sexual partnerships using WGS to compare isolates and their resistance to antibiotics at a genome level. Methods 458 couples from a large prospective cohort of men who have sex with men (MSM) tested for gonorrhoea together between 2005 and 2014 were included, and WGS was conducted on all isolates from couples where both men were culture-positive for N. gonorrhoeae. Resistance-determining sequences were identified from genome assemblies, and comparison of isolates between and within individuals was performed by pairwise single nucleotide polymorphism and pangenome comparisons, and in silico predictions of NG-MAST and MLST. Results For 33 of 34 (97%; 95% CI 85% to 100%) couples where both partners were positive for gonorrhoea, the resistance-determining genes and mutations were identical in isolates from each partner (94 isolates in total). Resistance determinants in isolates from 23 of 23 (100%; 95% CI 86% to 100%) men with multisite infections were also identical within an individual. These partner and within-host isolates were indistinguishable by NG-MAST, MLST and whole genomic comparisons. Conclusions These data support the transmission of antibiotic-resistant strains between sexual partners as a key driver of resistance rates in gonorrhoea among MSM. This improved understanding of the transmission dynamics of N. gonorrhoeae between sexual partners will inform treatment and prevention guidelines.
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Affiliation(s)
- Jason C Kwong
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Department of Infectious Diseases, Austin Health, Melbourne, Victoria, Australia
| | - Eric P F Chow
- Melbourne Sexual Health Centre, Alfred Health, Carlton, Victoria, Australia.,Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Kerrie Stevens
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher K Fairley
- Melbourne Sexual Health Centre, Alfred Health, Carlton, Victoria, Australia.,Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Marcus Y Chen
- Melbourne Sexual Health Centre, Alfred Health, Carlton, Victoria, Australia.,Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Benjamin P Howden
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.,Department of Infectious Diseases, Austin Health, Melbourne, Victoria, Australia
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63
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Vandelannoote K, Meehan CJ, Eddyani M, Affolabi D, Phanzu DM, Eyangoh S, Jordaens K, Portaels F, Mangas K, Seemann T, Marsollier L, Marion E, Chauty A, Landier J, Fontanet A, Leirs H, Stinear TP, de Jong BC. Multiple Introductions and Recent Spread of the Emerging Human Pathogen Mycobacterium ulcerans across Africa. Genome Biol Evol 2017; 9:414-426. [PMID: 28137745 PMCID: PMC5381664 DOI: 10.1093/gbe/evx003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2017] [Indexed: 12/21/2022] Open
Abstract
Buruli ulcer (BU) is an insidious neglected tropical disease. Cases are reported around the world but the rural regions of West and Central Africa are most affected. How BU is transmitted and spreads has remained a mystery, even though the causative agent, Mycobacterium ulcerans, has been known for more than 70 years. Here, using the tools of population genomics, we reconstruct the evolutionary history of M. ulcerans by comparing 165 isolates spanning 48 years and representing 11 endemic countries across Africa. The genetic diversity of African M. ulcerans was found to be restricted due to the bacterium's slow substitution rate coupled with its relatively recent origin. We identified two specific M. ulcerans lineages within the African continent, and inferred that M. ulcerans lineage Mu_A1 existed in Africa for several hundreds of years, unlike lineage Mu_A2, which was introduced much more recently, approximately during the 19th century. Additionally, we observed that specific M. ulcerans epidemic Mu_A1 clones were introduced during the same time period in the three hydrological basins that were well covered in our panel. The estimated time span of the introduction events coincides with the Neo-imperialism period, during which time the European colonial powers divided the African continent among themselves. Using this temporal association, and in the absence of a known BU reservoir or-vector on the continent, we postulate that the so-called "Scramble for Africa" played a significant role in the spread of the disease across the continent.
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Affiliation(s)
- Koen Vandelannoote
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Evolutionary Ecology Group University of Antwerp, Antwerp, Belgium
| | - Conor J Meehan
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Miriam Eddyani
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | - Sara Eyangoh
- Service de Mycobactériologie, Centre Pasteur du Cameroun, Yaoundé, Cameroun
| | - Kurt Jordaens
- Evolutionary Ecology Group University of Antwerp, Antwerp, Belgium.,Invertebrates Section, Royal Museum for Central Africa, Tervuren, Belgium
| | - Françoise Portaels
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Kirstie Mangas
- Department of Microbiology and Immunology, University of Melbourne, Victoria, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative University of Melbourne, Victoria, Australia
| | | | - Estelle Marion
- CRCNA Inserm U892 CNRS 6299, CHU & Université d'Angers, Angers, France
| | | | - Jordi Landier
- Service de Mycobactériologie, Centre Pasteur du Cameroun, Yaoundé, Cameroun.,Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France
| | - Arnaud Fontanet
- Emerging Diseases Epidemiology Unit, Institut Pasteur, Paris, France
| | - Herwig Leirs
- Evolutionary Ecology Group University of Antwerp, Antwerp, Belgium
| | - Timothy P Stinear
- Department of Microbiology and Immunology, University of Melbourne, Victoria, Australia
| | - Bouke C de Jong
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
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Amissah NA, Buultjens AH, Ablordey A, van Dam L, Opoku-Ware A, Baines SL, Bulach D, Tetteh CS, Prah I, van der Werf TS, Friedrich AW, Seemann T, van Dijl JM, Stienstra Y, Stinear TP, Rossen JW. Methicillin Resistant Staphylococcus aureus Transmission in a Ghanaian Burn Unit: The Importance of Active Surveillance in Resource-Limited Settings. Front Microbiol 2017; 8:1906. [PMID: 29056927 PMCID: PMC5635451 DOI: 10.3389/fmicb.2017.01906] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 09/19/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives:Staphylococcus aureus infections in burn patients can lead to serious complications and death. The frequency of S. aureus infection is high in low- and middle-income countries presumably due to limited resources, misuse of antibiotics and poor infection control. The objective of the present study was to apply population genomics to precisely define, for the first time, the transmission of antibiotic resistant S. aureus in a resource-limited setting in sub-Saharan Africa. Methods:Staphylococcus aureus surveillance was performed amongst burn patients and healthcare workers during a 7-months survey within the burn unit of the Korle Bu Teaching Hospital in Ghana. Results: Sixty-six S. aureus isolates (59 colonizing and 7 clinical) were obtained from 31 patients and 10 healthcare workers. Twenty-one of these isolates were ST250-IV methicillin-resistant S. aureus (MRSA). Notably, 25 (81%) of the 31 patients carried or were infected with S. aureus within 24 h of admission. Genome comparisons revealed six distinct S. aureus clones circulating in the burn unit, and demonstrated multiple transmission events between patients and healthcare workers. Further, the collected S. aureus isolates exhibited a wide range of genotypic resistances to antibiotics, including trimethoprim (21%), aminoglycosides (33%), oxacillin (33%), chloramphenicol (50%), tetracycline (59%) and fluoroquinolones (100%). Conclusion: Population genomics uncovered multiple transmission events of S. aureus, especially MRSA, within the investigated burn unit. Our findings highlight lapses in infection control and prevention, and underscore the great importance of active surveillance to protect burn victims against multi-drug resistant pathogens in resource-limited settings.
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Affiliation(s)
- Nana Ama Amissah
- Department of Internal Medicine/Infectious Diseases, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.,Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Andrew H Buultjens
- Department of Microbiology and Immunology, The Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Anthony Ablordey
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Lieke van Dam
- Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ampomah Opoku-Ware
- Burns Unit, Reconstructive Plastic Surgery and Burns Unit, Korle Bu Teaching Hospital, Accra, Ghana
| | - Sarah L Baines
- Department of Microbiology and Immunology, The Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Dieter Bulach
- Department of Microbiology and Immunology, The Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Caitlin S Tetteh
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Isaac Prah
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Tjip S van der Werf
- Department of Internal Medicine/Infectious Diseases, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Alexander W Friedrich
- Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Clayton, VIC, Australia
| | - Jan Maarten van Dijl
- Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ymkje Stienstra
- Department of Internal Medicine/Infectious Diseases, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Timothy P Stinear
- Department of Microbiology and Immunology, The Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - John W Rossen
- Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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65
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Griffin PC, Khadake J, LeMay KS, Lewis SE, Orchard S, Pask A, Pope B, Roessner U, Russell K, Seemann T, Treloar A, Tyagi S, Christiansen JH, Dayalan S, Gladman S, Hangartner SB, Hayden HL, Ho WWH, Keeble-Gagnère G, Korhonen PK, Neish P, Prestes PR, Richardson MF, Watson-Haigh NS, Wyres KL, Young ND, Schneider MV. Best practice data life cycle approaches for the life sciences. F1000Res 2017; 6:1618. [PMID: 30109017 PMCID: PMC6069748 DOI: 10.12688/f1000research.12344.2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/29/2018] [Indexed: 11/20/2022] Open
Abstract
Throughout history, the life sciences have been revolutionised by technological advances; in our era this is manifested by advances in instrumentation for data generation, and consequently researchers now routinely handle large amounts of heterogeneous data in digital formats. The simultaneous transitions towards biology as a data science and towards a 'life cycle' view of research data pose new challenges. Researchers face a bewildering landscape of data management requirements, recommendations and regulations, without necessarily being able to access data management training or possessing a clear understanding of practical approaches that can assist in data management in their particular research domain. Here we provide an overview of best practice data life cycle approaches for researchers in the life sciences/bioinformatics space with a particular focus on 'omics' datasets and computer-based data processing and analysis. We discuss the different stages of the data life cycle and provide practical suggestions for useful tools and resources to improve data management practices.
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Affiliation(s)
- Philippa C Griffin
- EMBL Australia Bioinformatics Resource, The University of Melbourne, Parkville, VIC, 3010, Australia.,Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Jyoti Khadake
- NIHR BioResource, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust Hills Road, Cambridge , CB2 0QQ, UK
| | - Kate S LeMay
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Suzanna E Lewis
- Lawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, CA, 94720, USA
| | - Sandra Orchard
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Cambridge, CB10 1SD, UK
| | - Andrew Pask
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Bernard Pope
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Ute Roessner
- Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Keith Russell
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Torsten Seemann
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Andrew Treloar
- Australian National Data Service, Monash University, Malvern East , VIC, 3145, Australia
| | - Sonika Tyagi
- Australian Genome Research Facility Ltd, Parkville, VIC, 3052, Australia.,Monash Bioinformatics Platform, Monash University, Clayton, VIC, 3800, Australia
| | - Jeffrey H Christiansen
- Queensland Cyber Infrastructure Foundation and the University of Queensland Research Computing Centre, St Lucia, QLD, 4072, Australia
| | - Saravanan Dayalan
- Metabolomics Australia, School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Simon Gladman
- EMBL Australia Bioinformatics Resource, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Sandra B Hangartner
- School of Biological Sciences, Monash University, Clayton, VIC, 3800, Australia
| | - Helen L Hayden
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Bundoora, VIC, 3083, Australia
| | - William W H Ho
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Gabriel Keeble-Gagnère
- School of BioSciences, The University of Melbourne, Parkville, VIC, 3010, Australia.,Agriculture Victoria, AgriBio, Centre for AgriBioscience, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Bundoora, VIC, 3083, Australia
| | - Pasi K Korhonen
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Peter Neish
- The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Priscilla R Prestes
- Faculty of Science and Engineering, Federation University Australia, Mt Helen , VIC, 3350, Australia
| | - Mark F Richardson
- Bioinformatics Core Research Group & Centre for Integrative Ecology, Deakin University, Geelong, VIC, 3220, Australia
| | - Nathan S Watson-Haigh
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, SA, 5064, Australia
| | - Kelly L Wyres
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Neil D Young
- Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Maria Victoria Schneider
- Melbourne Bioinformatics, The University of Melbourne, Parkville, VIC, 3010, Australia.,The University of Melbourne, Parkville, VIC, 3010, Australia
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66
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Mamrot J, Legaie R, Ellery SJ, Wilson T, Seemann T, Powell DR, Gardner DK, Walker DW, Temple-Smith P, Papenfuss AT, Dickinson H. De novo transcriptome assembly for the spiny mouse (Acomys cahirinus). Sci Rep 2017; 7:8996. [PMID: 28827620 PMCID: PMC5566366 DOI: 10.1038/s41598-017-09334-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 07/17/2017] [Indexed: 12/21/2022] Open
Abstract
Spiny mice of the genus Acomys display several unique physiological traits, including menstruation and scar-free wound healing; characteristics that are exceedingly rare in mammals, and of considerable interest to the scientific community. These unique attributes, and the potential for spiny mice to accurately model human diseases, are driving increased use of this genus in biomedical research, however little genetic information is accessible for this species. This project aimed to generate a draft transcriptome for the Common spiny mouse (Acomys cahirinus). Illumina sequencing of RNA from 15 organ types (male and female) produced 451 million, 150 bp paired-end reads (92.4Gbp). An extensive survey of de novo transcriptome assembly approaches using Trinity, SOAPdenovo-Trans, and Oases at multiple kmer lengths was conducted, producing 50 single-kmer assemblies from this dataset. Non-redundant transcripts from all assemblies were merged into a meta-assembly using the EvidentialGene tr2aacds pipeline, producing the largest gene catalogue to date for Acomys cahirinus. This study provides the first detailed characterization of the spiny mouse transcriptome. It validates use of the EvidentialGene tr2aacds pipeline in mammals to augment conventional de novo assembly approaches, and provides a valuable scientific resource for further investigation into the unique physiological characteristics inherent in the genus Acomys.
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Affiliation(s)
- Jared Mamrot
- The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
| | - Roxane Legaie
- MHTP node - Monash Bioinformatics Platform, Monash University, Melbourne, Australia
| | - Stacey J Ellery
- The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
| | - Trevor Wilson
- MHTP Medical Genomics Facility, Melbourne, Australia
| | - Torsten Seemann
- Melbourne Bioinformatics, The University of Melbourne, Melbourne, Australia
| | - David R Powell
- Monash Bioinformatics Platform, Monash University, Melbourne, Australia
| | - David K Gardner
- School of BioSciences, University of Melbourne, Melbourne, Australia
| | - David W Walker
- The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
- RMIT University, Bundoora Campus, Bundoora, Australia
| | - Peter Temple-Smith
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
- Education Program in Reproduction and Development, Monash University, Melbourne, Australia
| | - Anthony T Papenfuss
- Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Australia
- Computational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Hayley Dickinson
- The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Australia.
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
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67
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Page AJ, Alikhan NF, Carleton HA, Seemann T, Keane JA, Katz LS. Comparison of classical multi-locus sequence typing software for next-generation sequencing data. Microb Genom 2017; 3:e000124. [PMID: 29026660 PMCID: PMC5610716 DOI: 10.1099/mgen.0.000124] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 06/07/2017] [Indexed: 11/18/2022] Open
Abstract
Multi-locus sequence typing (MLST) is a widely used method for categorizing bacteria. Increasingly, MLST is being performed using next-generation sequencing (NGS) data by reference laboratories and for clinical diagnostics. Many software applications have been developed to calculate sequence types from NGS data; however, there has been no comprehensive review to date on these methods. We have compared eight of these applications against real and simulated data, and present results on: (1) the accuracy of each method against traditional typing methods, (2) the performance on real outbreak datasets, (3) the impact of contamination and varying depth of coverage, and (4) the computational resource requirements.
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Affiliation(s)
- Andrew J. Page
- Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
| | | | - Heather A. Carleton
- Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Jacqueline A. Keane
- Pathogen Informatics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | - Lee S. Katz
- Enteric Diseases Laboratory Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Center for Food Safety, College of Agricultural and Environmental Sciences, University of Georgia, Griffin, GA, USA
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68
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Sparham SJ, Kwong JC, Valcanis M, Easton M, Trott DJ, Seemann T, Stinear TP, Howden BP. Emergence of multidrug resistance in locally-acquired human infections with Salmonella Typhimurium in Australia owing to a new clade harbouring bla CTX-M-9. Int J Antimicrob Agents 2017; 50:101-105. [PMID: 28476613 DOI: 10.1016/j.ijantimicag.2017.02.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 02/06/2017] [Accepted: 02/10/2017] [Indexed: 10/19/2022]
Abstract
Antimicrobial resistance in non-typhoidal Salmonella is a critical problem globally, with the emergence of resistance to third-generation cephalosporins (3GCs) a particular concern. The aim of this study was to use whole-genome sequencing (WGS) to characterise recently identified human and non-human isolates of 3GC-resistant Salmonella enterica subsp. enterica serovar Typhimurium from Australia. The Illumina NextSeq sequencing platform was used to determine the genome sequences of 78 S. Typhimurium definitive type 44 isolated in Australia between 1992 and 2016, including 31 3GC-resistant isolates. Phylogenetic and bioinformatics analyses were subsequently performed using a number of in silico tools. We report the emergence of 3GC resistance in locally-acquired Australian S. Typhimurium for the first time. Phenotypically resistant isolates of human and animal origin were geographically restricted and were found by WGS all to be closely related and to carry blaCTX-M-9. Dairy cattle were the suspected source based on geographical clustering of animal isolates, which were predominantly bovine in origin. In conclusion, locally-acquired human cases of S. Typhimurium carrying blaCTX-M-9 were identified that appear to be of bovine origin, raising concerns regarding the human impact of off-label use of ceftiofur in cattle.
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Affiliation(s)
- Sarah J Sparham
- Microbiological Diagnostic Unit Public Health Laboratory, Melbourne, VIC, Australia; Infectious Diseases Department, Austin Health, Heidelberg, VIC, Australia
| | - Jason C Kwong
- Microbiological Diagnostic Unit Public Health Laboratory, Melbourne, VIC, Australia; Infectious Diseases Department, Austin Health, Heidelberg, VIC, Australia; Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia; Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Mary Valcanis
- Microbiological Diagnostic Unit Public Health Laboratory, Melbourne, VIC, Australia
| | - Marion Easton
- Department of Health and Human Services, Victorian Government, Australia
| | - Darren J Trott
- Australian Centre for Antimicrobial Resistance Ecology, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, Australia
| | - Torsten Seemann
- Microbiological Diagnostic Unit Public Health Laboratory, Melbourne, VIC, Australia; Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia; Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, Australia
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia; Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Benjamin P Howden
- Microbiological Diagnostic Unit Public Health Laboratory, Melbourne, VIC, Australia; Infectious Diseases Department, Austin Health, Heidelberg, VIC, Australia; Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia; Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
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69
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Huys G, Purohit P, Tan CH, Snauwaert C, Vos PD, Saffar HA, Obaid IA, Busse HJ, Seemann T, John Albert M. Sphingobacterium cellulitidis sp. nov., isolated from clinical and environmental sources. Int J Syst Evol Microbiol 2017; 67:1415-1421. [DOI: 10.1099/ijsem.0.001832] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Geert Huys
- Laboratory of Microbiology & BCCM Bacteria Collection, Faculty of Sciences, Ghent University, Gent, Belgium
| | | | - Chuan Hao Tan
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore
| | - Cindy Snauwaert
- Laboratory of Microbiology & BCCM Bacteria Collection, Faculty of Sciences, Ghent University, Gent, Belgium
| | - Paul De Vos
- Laboratory of Microbiology & BCCM Bacteria Collection, Faculty of Sciences, Ghent University, Gent, Belgium
| | - Huda Al Saffar
- Assad Al Hamad Dermatology Center, Al-Sabah Hospital, Kuwait
| | - Ina'am Al Obaid
- Department of Medical Microbiology, Al-Sabah Hospital, Kuwait
| | - Hans-Jürgen Busse
- Institut für Mikrobiologie, Veterinärmedizinische Universität Wien, Wien, Austria
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, The University of Melbourne, Victoria, Australia
| | - M John Albert
- Department of Microbiology, Faculty of Medicine, Kuwait University, Jabriya, Kuwait
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70
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Kpeli G, Buultjens AH, Giulieri S, Owusu-Mireku E, Aboagye SY, Baines SL, Seemann T, Bulach D, Gonçalves da Silva A, Monk IR, Howden BP, Pluschke G, Yeboah-Manu D, Stinear T. Genomic analysis of ST88 community-acquired methicillin resistant Staphylococcus aureus in Ghana. PeerJ 2017; 5:e3047. [PMID: 28265515 PMCID: PMC5333547 DOI: 10.7717/peerj.3047] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 01/30/2017] [Indexed: 01/11/2023] Open
Abstract
Background The emergence and evolution of community-acquired methicillin resistant Staphylococcus aureus (CA-MRSA) strains in Africa is poorly understood. However, one particular MRSA lineage called ST88, appears to be rapidly establishing itself as an “African” CA-MRSA clone. In this study, we employed whole genome sequencing to provide more information on the genetic background of ST88 CA-MRSA isolates from Ghana and to describe in detail ST88 CA-MRSA isolates in comparison with other MRSA lineages worldwide. Methods We first established a complete ST88 reference genome (AUS0325) using PacBio SMRT sequencing. We then used comparative genomics to assess relatedness among 17 ST88 CA-MRSA isolates recovered from patients attending Buruli ulcer treatment centres in Ghana, three non-African ST88s and 15 other MRSA lineages. Results We show that Ghanaian ST88 forms a discrete MRSA lineage (harbouring SCCmec-IV [2B]). Gene content analysis identified five distinct genomic regions enriched among ST88 isolates compared with the other S. aureus lineages. The Ghanaian ST88 isolates had only 658 core genome SNPs and there was no correlation between phylogeny and geography, suggesting the recent spread of this clone. The lineage was also resistant to multiple classes of antibiotics including β-lactams, tetracycline and chloramphenicol. Discussion This study reveals that S. aureus ST88-IV is a recently emerging and rapidly spreading CA-MRSA clone in Ghana. The study highlights the capacity of small snapshot genomic studies to provide actionable public health information in resource limited settings. To our knowledge this is the first genomic assessment of the ST88 CA-MRSA clone.
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Affiliation(s)
- Grace Kpeli
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana; Department of Molecular Parasitology and Immunology, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Andrew H Buultjens
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
| | - Stefano Giulieri
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
| | - Evelyn Owusu-Mireku
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana , Accra , Ghana
| | - Samuel Y Aboagye
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana , Accra , Ghana
| | - Sarah L Baines
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
| | - Torsten Seemann
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; University of Melbourne, Victorian Life Sciences Computation Initiative, Melbourne, VIC, Australia
| | - Dieter Bulach
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; University of Melbourne, Victorian Life Sciences Computation Initiative, Melbourne, VIC, Australia
| | - Anders Gonçalves da Silva
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
| | - Ian R Monk
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
| | - Benjamin P Howden
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; Department of Microbiology and Immunology, Microbiological Diagnostic Unit Public Health Laboratory, Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, VIC, Australia; Department of Infectious Diseases, Austin Health, Heidelberg, VIC, Australia
| | - Gerd Pluschke
- Department of Molecular Parasitology and Immunology, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Dorothy Yeboah-Manu
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana , Accra , Ghana
| | - Timothy Stinear
- Department of Microbiology and Immunology, Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne, VIC , Australia
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71
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Kpeli G, Otchere I, Lamelas A, Buultjens A, Bulach D, Baines S, Seemann T, Giulieri S, Nakobu Z, Aboagye S, Owusu-Mireku E, Danso E, Hauser J, Hinic V, Pluschke G, Stinear T, Yeboah-Manu D. DRUG RESISTANCE AND GENETIC PROFILE OF BACTERIAL SPECIES ASSOCIATED WITH BURULI ULCER WOUND INFECTIONS IN TWO DISTRICTS OF GHANA. BMJ Glob Health 2017. [DOI: 10.1136/bmjgh-2016-000260.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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72
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Gonçalves da Silva A, Baines SL, Carter GP, Heffernan H, French NP, Ren X, Seemann T, Bulach D, Kwong J, Stinear TP, Howden BP, Williamson DA. A phylogenomic framework for assessing the global emergence and evolution of clonal complex 398 methicillin-resistant Staphylococcus aureus. Microb Genom 2017; 3:e000105. [PMID: 28348878 PMCID: PMC5361625 DOI: 10.1099/mgen.0.000105] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 01/06/2017] [Indexed: 12/13/2022] Open
Abstract
Distinct clones of methicillin-resistant Staphylococcus aureus (MRSA) have emerged as important causes of infection in individuals who have exposure to livestock (livestock-associated MRSA; LA-MRSA). Clonal complex 398 (CC398) is the most prevalent LA-MRSA clone, and has been reported from several geographical settings, including Europe, the Americas and Asia. To understand the factors contributing to the global dissemination of this clone, we analysed CC398 MRSA isolates from New Zealand (NZ), a geographically isolated country with an economy strongly dependent on livestock farming. We supplemented the NZ CC398 MRSA collection with global datasets of CC398 MRSA and CC398 methicillin-susceptible S. aureus. Here, we demonstrate multiple sporadic incursions of CC398 MRSA into NZ, as well as recent importation and spread of a swine-associated clade related to the European LA-MRSA lineage. Within a larger global phylogenomic framework, Bayesian modelling suggested that this NZ clade emerged in the late 2000s, with a probable origin in swine from Western Europe. Elucidating the factors responsible for the incursion and spread of LA-MRSA in geographically distant regions, such as NZ, provides important insights into global pathways of S. aureus transmission, and will inform strategies to control importation and spread.
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Affiliation(s)
- Anders Gonçalves da Silva
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.,2Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sarah L Baines
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Glen P Carter
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Helen Heffernan
- 3Institute of Environmental Science and Research, Wellington, New Zealand
| | - Nigel P French
- 4Infectious Disease Research Centre, Massey University, Palmerston North, New Zealand
| | - Xiaoyun Ren
- 3Institute of Environmental Science and Research, Wellington, New Zealand
| | - Torsten Seemann
- 2Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.,5Victorian Life Sciences Computation Initiative, Melbourne, Australia
| | - Dieter Bulach
- 2Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.,5Victorian Life Sciences Computation Initiative, Melbourne, Australia
| | - Jason Kwong
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Timothy P Stinear
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Benjamin P Howden
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.,2Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Deborah A Williamson
- 1Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.,2Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia
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73
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Dashper SG, Mitchell HL, Seers CA, Gladman SL, Seemann T, Bulach DM, Chandry PS, Cross KJ, Cleal SM, Reynolds EC. Porphyromonas gingivalis Uses Specific Domain Rearrangements and Allelic Exchange to Generate Diversity in Surface Virulence Factors. Front Microbiol 2017; 8:48. [PMID: 28184216 PMCID: PMC5266723 DOI: 10.3389/fmicb.2017.00048] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Accepted: 01/06/2017] [Indexed: 12/13/2022] Open
Abstract
Porphyromonas gingivalis is a keystone pathogen of chronic periodontitis. The virulence of P. gingivalis is reported to be strain related and there are currently a number of strain typing schemes based on variation in capsular polysaccharide, the major and minor fimbriae and adhesin domains of Lys-gingipain (Kgp), amongst other surface proteins. P. gingivalis can exchange chromosomal DNA between strains by natural competence and conjugation. The aim of this study was to determine the genetic variability of P. gingivalis strains sourced from international locations over a 25-year period and to determine if variability in surface virulence factors has a phylogenetic basis. Whole genome sequencing was performed on 13 strains and comparison made to 10 previously sequenced strains. A single nucleotide polymorphism-based phylogenetic analysis demonstrated a shallow tri-lobed phylogeny. There was a high level of reticulation in the phylogenetic network, demonstrating extensive horizontal gene transfer between the strains. Two highly conserved variants of the catalytic domain of the major virulence factor the Kgp proteinase (KgpcatI and KgpcatII) were found. There were three variants of the fourth Kgp C-terminal cleaved adhesin domain. Specific variants of the cell surface proteins FimA, FimCDE, MfaI, RagAB, Tpr, and PrtT were also identified. The occurrence of all these variants in the P. gingivalis strains formed a mosaic that was not related to the SNP-based phylogeny. In conclusion P. gingivalis uses domain rearrangements and genetic exchange to generate diversity in specific surface virulence factors.
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Affiliation(s)
- Stuart G Dashper
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
| | - Helen L Mitchell
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
| | - Christine A Seers
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
| | - Simon L Gladman
- Victorian Life Sciences Computation Initiative Carlton, VIC, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative Carlton, VIC, Australia
| | - Dieter M Bulach
- Victorian Life Sciences Computation Initiative Carlton, VIC, Australia
| | | | - Keith J Cross
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
| | - Steven M Cleal
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
| | - Eric C Reynolds
- Oral Health Cooperative Research Centre, Melbourne Dental School, Bio21 Institute, University of Melbourne VIC, Australia
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74
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Buultjens AH, Lam MMC, Ballard S, Monk IR, Mahony AA, Grabsch EA, Grayson ML, Pang S, Coombs GW, Robinson JO, Seemann T, Johnson PDR, Howden BP, Stinear TP. Evolutionary origins of the emergent ST796 clone of vancomycin resistant Enterococcus faecium. PeerJ 2017; 5:e2916. [PMID: 28149688 PMCID: PMC5267571 DOI: 10.7717/peerj.2916] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 12/16/2016] [Indexed: 12/03/2022] Open
Abstract
From early 2012, a novel clone of vancomycin resistant Enterococcus faecium (assigned the multi locus sequence type ST796) was simultaneously isolated from geographically separate hospitals in south eastern Australia and New Zealand. Here we describe the complete genome sequence of Ef_aus0233, a representative ST796 E. faecium isolate. We used PacBio single molecule real-time sequencing to establish a high quality, fully assembled genome comprising a circular chromosome of 2,888,087 bp and five plasmids. Comparison of Ef_aus0233 to other E. faecium genomes shows Ef_aus0233 is a member of the epidemic hospital-adapted lineage and has evolved from an ST555-like ancestral progenitor by the accumulation or modification of five mosaic plasmids and five putative prophage, acquisition of two cryptic genomic islands, accrued chromosomal single nucleotide polymorphisms and a 80 kb region of recombination, also gaining Tn1549 and Tn916, transposons conferring resistance to vancomycin and tetracycline respectively. The genomic dissection of this new clone presented here underscores the propensity of the hospital E. faecium lineage to change, presumably in response to the specific conditions of hospital and healthcare environments.
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Affiliation(s)
- Andrew H Buultjens
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
| | - Margaret M C Lam
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
| | - Susan Ballard
- Microbiology Diagnostic Unit, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
| | - Ian R Monk
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
| | - Andrew A Mahony
- Infectious Diseases Department, Austin Health , Heidelberg , Victoria , Australia
| | - Elizabeth A Grabsch
- Infectious Diseases Department, Austin Health , Heidelberg , Victoria , Australia
| | - M Lindsay Grayson
- Infectious Diseases Department, Austin Health , Heidelberg , Victoria , Australia
| | - Stanley Pang
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia; Department of Microbiology, Pathwest Laboratory Medicine-WA, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Geoffrey W Coombs
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia; Department of Microbiology, Pathwest Laboratory Medicine-WA, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - J Owen Robinson
- School of Veterinary and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia; Department of Infectious Diseases, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne , Carlton , Victoria , Australia
| | - Paul D R Johnson
- Infectious Diseases Department, Austin Health, Heidelberg, Victoria, Australia; Department of Medicine, University of Melbourne, Heidelberg, Victoria, Australia
| | - Benjamin P Howden
- Microbiology Diagnostic Unit, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
| | - Timothy P Stinear
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne , Melbourne , Victoria , Australia
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75
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Kwong JC, Schultz MB, Williamson DA, Stinear TP, Seemann T, Howden BP. Comment on: Benchmarking of methods for identification of antimicrobial resistance genes in bacterial whole genome data. J Antimicrob Chemother 2016; 72:635-636. [PMID: 27999008 DOI: 10.1093/jac/dkw473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | | | | | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.,Department of Microbiology & Immunology, University of Melbourne, Parkville, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Peter Doherty Institute for Infection & Immunity, Melbourne, Australia.,Victorian Life Sciences Computation Initiative, Carlton, Australia
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76
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Smibert O, Aung AK, Woolnough E, Seemann T, Carter G, Spelman D, Peleg A. Healthcare Worker Hand-Held Devices as Vectors for Multidrug-Resistant Organisms in Intensive Care Patients. Open Forum Infect Dis 2016. [DOI: 10.1093/ofid/ofw172.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Olivia Smibert
- Infectious Diseases and Microbiology, Alfred Hospital, Melbourne, Australia
| | - Ar Kar Aung
- Alfred Health and Monash University, Melbourne, Australia
| | - Emily Woolnough
- Alfred Health and Monash University, Melbourne, Melbourne, Australia
| | - Torsten Seemann
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Melbourne, Australia
| | - Glen Carter
- Melbourne Diagnostic Unit, Doherty Institute, University of Melbourne, Melbourne, Australia
| | - Denis Spelman
- Department of Microbiology and Infectious Diseases Unit, Alfred Hospital, Melbourne, Australia
| | - Anton Peleg
- Alfred Health and Monash University, Melbourne, Australia
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77
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Lee JYH, Monk IR, Pidot SJ, Singh S, Chua KYL, Seemann T, Stinear TP, Howden BP. Functional analysis of the first complete genome sequence of a multidrug resistant sequence type 2 Staphylococcus epidermidis. Microb Genom 2016; 2:e000077. [PMID: 28785416 PMCID: PMC5537629 DOI: 10.1099/mgen.0.000077] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Accepted: 07/05/2016] [Indexed: 12/31/2022] Open
Abstract
Staphylococcus epidermidis is a significant opportunistic pathogen of humans. The ST2 lineage is frequently multidrug-resistant and accounts for most of the clinical disease worldwide. However, there are no publically available, closed ST2 genomes and pathogenesis studies have not focused on these strains. We report the complete genome and methylome of BPH0662, a multidrug-resistant, hospital-adapted, ST2 S. epidermidis, and describe the correlation between resistome and phenotype, as well as demonstrate its relationship to publically available, international ST2 isolates. Furthermore, we delineate the methylome determined by the two type I restriction modification systems present in BPH0662 through heterologous expression in Escherichia coli, allowing the assignment of each system to its corresponding target recognition motif. As the first, to our knowledge, complete ST2 S. epidermidis genome, BPH0662 provides a valuable reference for future genomic studies of this clinically relevant lineage. Defining the methylome and the construction of these E. coli hosts provides the foundation for the development of molecular tools to bypass restriction modification systems in this lineage that has hitherto proven intractable.
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Affiliation(s)
- Jean Y. H. Lee
- Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
| | - Ian R. Monk
- Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
| | - Sacha J. Pidot
- Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
| | | | - Kyra Y. L. Chua
- Microbiology Department, Austin Health, Melbourne, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
- Victorian Life Sciences Computation Inititative, University of Melbourne, Melbourne, Victoria, Australia
| | - Timothy P. Stinear
- Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
| | - Benjamin P. Howden
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology at The Doherty Institute for Infection & Immunity, University of Melbourne, Melbourne, Australia
- Infectious Diseases Department, Austin Health, Melbourne, Australia
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78
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Raina JB, Tapiolas D, Motti CA, Foret S, Seemann T, Tebben J, Willis BL, Bourne DG. Isolation of an antimicrobial compound produced by bacteria associated with reef-building corals. PeerJ 2016; 4:e2275. [PMID: 27602265 PMCID: PMC4994080 DOI: 10.7717/peerj.2275] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Accepted: 07/19/2016] [Indexed: 12/28/2022] Open
Abstract
Bacterial communities associated with healthy corals produce antimicrobial compounds that inhibit the colonization and growth of invasive microbes and potential pathogens. To date, however, bacteria-derived antimicrobial molecules have not been identified in reef-building corals. Here, we report the isolation of an antimicrobial compound produced by Pseudovibrio sp. P12, a common and abundant coral-associated bacterium. This strain was capable of metabolizing dimethylsulfoniopropionate (DMSP), a sulfur molecule produced in high concentrations by reef-building corals and playing a role in structuring their bacterial communities. Bioassay-guided fractionation coupled with nuclear magnetic resonance (NMR) and mass spectrometry (MS), identified the antimicrobial as tropodithietic acid (TDA), a sulfur-containing compound likely derived from DMSP catabolism. TDA was produced in large quantities by Pseudovibrio sp., and prevented the growth of two previously identified coral pathogens, Vibrio coralliilyticus and V. owensii, at very low concentrations (0.5 μg/mL) in agar diffusion assays. Genome sequencing of Pseudovibrio sp. P12 identified gene homologs likely involved in the metabolism of DMSP and production of TDA. These results provide additional evidence for the integral role of DMSP in structuring coral-associated bacterial communities and underline the potential of these DMSP-metabolizing microbes to contribute to coral disease prevention.
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Affiliation(s)
- Jean-Baptiste Raina
- Climate Change Cluster (C3), University of Technology Sydney, Sydney, NSW, Australia; Australian Institute of Marine Science, Townsville, QLD, Australia; Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia; Marine Biology and Aquaculture, College of Science and Engineering, James Cook University of North Queensland, Townsville, QLD, Australia; AIMS@JCU, James Cook University, Townsville, QLD, Australia
| | - Dianne Tapiolas
- Australian Institute of Marine Science , Townsville, QLD , Australia
| | - Cherie A Motti
- Australian Institute of Marine Science , Townsville, QLD , Australia
| | - Sylvain Foret
- Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia; Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne , Melbourne, Victoria , Australia
| | - Jan Tebben
- Section Chemical Ecology, Alfred Wegener Institute, Bremerhaven, Germany; University of New South Wales, Sydney, NSW, Australia
| | - Bette L Willis
- Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, Australia; Marine Biology and Aquaculture, College of Science and Engineering, James Cook University of North Queensland, Townsville, QLD, Australia
| | - David G Bourne
- Australian Institute of Marine Science, Townsville, QLD, Australia; Marine Biology and Aquaculture, College of Science and Engineering, James Cook University of North Queensland, Townsville, QLD, Australia
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79
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Carter GP, Buultjens AH, Ballard SA, Baines SL, Tomita T, Strachan J, Johnson PDR, Ferguson JK, Seemann T, Stinear TP, Howden BP. Emergence of endemic MLST non-typeable vancomycin-resistant Enterococcus faecium. J Antimicrob Chemother 2016; 71:3367-3371. [PMID: 27530751 DOI: 10.1093/jac/dkw314] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/20/2016] [Accepted: 07/08/2016] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Enterococcus faecium is a major nosocomial pathogen causing significant morbidity and mortality worldwide. Assessment of E. faecium using MLST to understand the spread of this organism is an important component of hospital infection control measures. Recent studies, however, suggest that MLST might be inadequate for E. faecium surveillance. OBJECTIVES To use WGS to characterize recently identified vancomycin-resistant E. faecium (VREfm) isolates non-typeable by MLST that appear to be causing a multi-jurisdictional outbreak in Australia. METHODS Illumina NextSeq and Pacific Biosciences SMRT sequencing platforms were used to determine the genome sequences of 66 non-typeable E. faecium (NTEfm) isolates. Phylogenetic and bioinformatics analyses were subsequently performed using a number of in silico tools. RESULTS Sixty-six E. faecium isolates were identified by WGS from multiple health jurisdictions in Australia that could not be typed by MLST due to a missing pstS allele. SMRT sequencing and complete genome assembly revealed a large chromosomal rearrangement in representative strain DMG1500801, which likely facilitated the deletion of the pstS region. Phylogenomic analysis of this population suggests that deletion of pstS within E. faecium has arisen independently on at least three occasions. Importantly, the majority of these isolates displayed a vancomycin-resistant genotype. CONCLUSIONS We have identified NTEfm isolates that appear to be causing a multi-jurisdictional outbreak in Australia. Identification of these isolates has important implications for MLST-based typing activities designed to monitor the spread of VREfm and provides further evidence supporting the use of WGS for hospital surveillance of E. faecium.
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Affiliation(s)
- Glen P Carter
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Andrew H Buultjens
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Susan A Ballard
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
| | - Sarah L Baines
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Takehiro Tomita
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
| | - Janet Strachan
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
| | - Paul D R Johnson
- Infectious Diseases Department, Austin Health, Heidelberg, Victoria 3084, Australia
| | - John K Ferguson
- Hunter New England Health, Pathology North and Universities of Newcastle and New England, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
- Victorian Life Sciences Computation Initiative, Carlton, Victoria 3053, Australia
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Benjamin P Howden
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
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80
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Kwong JC, Gonçalves da Silva A, Dyet K, Williamson DA, Stinear TP, Howden BP, Seemann T. NGMASTER:in silico multi-antigen sequence typing for Neisseria gonorrhoeae. Microb Genom 2016; 2:e000076. [PMID: 28348871 PMCID: PMC5320595 DOI: 10.1099/mgen.0.000076] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 07/04/2016] [Indexed: 01/19/2023] Open
Abstract
Whole-genome sequencing (WGS) provides the highest resolution analysis for comparison of bacterial isolates in public health microbiology. However, although increasingly being used routinely for some pathogens such as Listeria monocytogenes and Salmonella enterica, the use of WGS is still limited for other organisms, such as Neisseria gonorrhoeae. Multi-antigen sequence typing (NG-MAST) is the most widely performed typing method for epidemiological surveillance of gonorrhoea. Here, we present NGMASTER, a command-line software tool for performing in silico NG-MAST on assembled genome data. NGMASTER rapidly and accurately determined the NG-MAST of 630 assembled genomes, facilitating comparisons between WGS and previously published gonorrhoea epidemiological studies. The source code and user documentation are available at https://github.com/MDU-PHL/ngmaster.
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Affiliation(s)
- Jason C. Kwong
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Anders Gonçalves da Silva
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Kristin Dyet
- Institute of Environmental Science and Research, Wellington, New Zealand
| | - Deborah A. Williamson
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Timothy P. Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Benjamin P. Howden
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, University of Melbourne, at the Peter Doherty Institute for Infection & Immunity, Melbourne, Australia
- Victorian Life Sciences Computation Initiative, University of Melbourne, Carlton, Australia
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81
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Kpeli G, Darko Otchere I, Lamelas A, Buultjens AL, Bulach D, Baines SL, Seemann T, Giulieri S, Nakobu Z, Aboagye SY, Owusu-Mireku E, Pluschke G, Stinear TP, Yeboah-Manu D. Possible healthcare-associated transmission as a cause of secondary infection and population structure of Staphylococcus aureus isolates from two wound treatment centres in Ghana. New Microbes New Infect 2016; 13:92-101. [PMID: 27547406 PMCID: PMC4983152 DOI: 10.1016/j.nmni.2016.07.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 06/24/2016] [Accepted: 07/01/2016] [Indexed: 11/30/2022] Open
Abstract
We have previously shown that secondary infections of Buruli ulcer wounds were frequently caused by Staphylococcus aureus. To gain understanding into possible routes of secondary infection, we characterized S. aureus isolates from patient lesions and surrounding environments across two Ghanaian health centres. One hundred and one S. aureus isolates were isolated from wounds (n = 93, 92.1%) and the hospital environment (n = 8, 7.9%) and characterized by the spa gene, mecA and the Panton–Valentine leucocidin toxin followed by spa sequencing and whole genome sequencing of a subset of 49 isolates. Spa typing and sequencing of the spa gene from 91 isolates identified 29 different spa types with t355 (ST152), t186 (ST88), and t346 dominating. Although many distinct strains were isolated from both health centres, genotype clustering was identified within centres. In addition, we identified a cluster consisting of isolates from a healthcare worker, patients dressed that same day and forceps used for dressing, pointing to possible healthcare-associated transmission. These clusters were confirmed by phylogenomic analysis. Twenty-four (22.8%) isolates were identified as methicillin-resistant S. aureus and lukFS genes encoding Panton–Valentine leucocidin were identified in 67 (63.8%) of the isolates. Phenotype screening showed widespread resistance to tetracycline, erythromycin, rifampicin, amikacin and streptomycin. Genomics confirmed the widespread presence of antibiotic resistance genes to β-lactams, chloramphenicol, trimethoprim, quinolone, streptomycin and tetracycline. Our findings indicate that the healthcare environment probably contributes to the superinfection of Buruli ulcer wounds and calls for improved training in wound management and infection control techniques.
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Affiliation(s)
- G Kpeli
- Noguchi Memorial Institute for Medical Research, Accra, Ghana; Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - I Darko Otchere
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
| | - A Lamelas
- University of Basel, Basel, Switzerland; Red de Estudios Moleculares Avanzados, Instituto de Ecología, A.C, Carretera antigua a Coatepec 351, El Haya Xalapa, Veracruz, Mexico
| | - A L Buultjens
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - D Bulach
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, VIC, Australia
| | - S L Baines
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - T Seemann
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, VIC, Australia
| | - S Giulieri
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Z Nakobu
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
| | - S Y Aboagye
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
| | - E Owusu-Mireku
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
| | - G Pluschke
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - T P Stinear
- Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - D Yeboah-Manu
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
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82
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Kwong JC, Stafford R, Strain E, Stinear TP, Seemann T, Howden BP. Sharing Is Caring: International Sharing of Data Enhances Genomic Surveillance of Listeria monocytogenes. Clin Infect Dis 2016; 63:846-8. [PMID: 27282712 DOI: 10.1093/cid/ciw359] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Jason C Kwong
- Doherty Applied Microbial Genomics, Doherty Institute, Melbourne Department of Microbiology and Immunology, University of Melbourne, Parkville
| | - Russell Stafford
- OzFoodNet, Communicable Diseases Branch, Queensland Health, Brisbane, Australia
| | - Errol Strain
- US Food and Drug Administration, College Park, Maryland
| | - Timothy P Stinear
- Doherty Applied Microbial Genomics, Doherty Institute, Melbourne Department of Microbiology and Immunology, University of Melbourne, Parkville
| | - Torsten Seemann
- Doherty Applied Microbial Genomics, Doherty Institute, Melbourne Victorian Life Sciences Computation Initiative, University of Melbourne, Carlton
| | - Benjamin P Howden
- Doherty Applied Microbial Genomics, Doherty Institute, Melbourne Department of Microbiology and Immunology, University of Melbourne, Parkville Microbiological Diagnostic Unit Public Health Laboratory, Doherty Institute, Melbourne, Australia
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83
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Mofiz E, Holt DC, Seemann T, Currie BJ, Fischer K, Papenfuss AT. Genomic resources and draft assemblies of the human and porcine varieties of scabies mites, Sarcoptes scabiei var. hominis and var. suis. Gigascience 2016; 5:23. [PMID: 27250856 PMCID: PMC4890329 DOI: 10.1186/s13742-016-0129-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 05/11/2016] [Indexed: 12/03/2022] Open
Abstract
Background The scabies mite, Sarcoptes scabiei, is a parasitic arachnid and cause of the infectious skin disease scabies in humans and mange in other animal species. Scabies infections are a major health problem, particularly in remote Indigenous communities in Australia, where secondary group A streptococcal and Staphylococcus aureus infections of scabies sores are thought to drive the high rate of rheumatic heart disease and chronic kidney disease. Results We sequenced the genome of two samples of Sarcoptes scabiei var. hominis obtained from unrelated patients with crusted scabies located in different parts of northern Australia using the Illumina HiSeq. We also sequenced samples of Sarcoptes scabiei var. suis from a pig model. Because of the small size of the scabies mite, these data are derived from pools of thousands of mites and are metagenomic, including host and microbiome DNA. We performed cleaning and de novo assembly and present Sarcoptes scabiei var. hominis and var. suis draft reference genomes. We have constructed a preliminary annotation of this reference comprising 13,226 putative coding sequences based on sequence similarity to known proteins. Conclusions We have developed extensive genomic resources for the scabies mite, including reference genomes and a preliminary annotation. Electronic supplementary material The online version of this article (doi:10.1186/s13742-016-0129-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ehtesham Mofiz
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.,Department of Medical Biology, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Deborah C Holt
- Menzies School of Health Research, Charles Darwin University, Casuarina, NT, 0811, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Bart J Currie
- Menzies School of Health Research, Charles Darwin University, Casuarina, NT, 0811, Australia
| | - Katja Fischer
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, 4006, Australia
| | - Anthony T Papenfuss
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. .,Department of Medical Biology, University of Melbourne, Melbourne, VIC, 3010, Australia. .,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, 3010, Australia. .,Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
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84
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Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T, Keane JA, Harris SR. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb Genom 2016; 2:e000056. [PMID: 28348851 PMCID: PMC5320690 DOI: 10.1099/mgen.0.000056] [Citation(s) in RCA: 547] [Impact Index Per Article: 68.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Revised: 03/15/2016] [Accepted: 03/18/2016] [Indexed: 11/29/2022] Open
Abstract
Rapidly decreasing genome sequencing costs have led to a proportionate increase in the number of samples used in prokaryotic population studies. Extracting single nucleotide polymorphisms (SNPs) from a large whole genome alignment is now a routine task, but existing tools have failed to scale efficiently with the increased size of studies. These tools are slow, memory inefficient and are installed through non-standard procedures. We present SNP-sites which can rapidly extract SNPs from a multi-FASTA alignment using modest resources and can output results in multiple formats for downstream analysis. SNPs can be extracted from a 8.3 GB alignment file (1842 taxa, 22 618 sites) in 267 seconds using 59 MB of RAM and 1 CPU core, making it feasible to run on modest computers. It is easy to install through the Debian and Homebrew package managers, and has been successfully tested on more than 20 operating systems. SNP-sites is implemented in C and is available under the open source license GNU GPL version 3.
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Affiliation(s)
- Andrew J Page
- 1 Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Ben Taylor
- 1 Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Aidan J Delaney
- 2 Computing, Engineering and Mathematics, University of Brighton, Moulsecoomb, Brighton, BN2 4GJ, UK
| | - Jorge Soares
- 1 Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Torsten Seemann
- 3 Victorian Life Sciences Computation Initiative, The University of Melbourne, Parkville, Australia
| | - Jacqueline A Keane
- 1 Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Simon R Harris
- 1 Pathogen Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
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85
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Mofiz E, Seemann T, Bahlo M, Holt D, Currie BJ, Fischer K, Papenfuss AT. Mitochondrial Genome Sequence of the Scabies Mite Provides Insight into the Genetic Diversity of Individual Scabies Infections. PLoS Negl Trop Dis 2016; 10:e0004384. [PMID: 26872064 PMCID: PMC4752359 DOI: 10.1371/journal.pntd.0004384] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 12/20/2015] [Indexed: 11/19/2022] Open
Abstract
The scabies mite, Sarcoptes scabiei, is an obligate parasite of the skin that infects humans and other animal species, causing scabies, a contagious disease characterized by extreme itching. Scabies infections are a major health problem, particularly in remote Indigenous communities in Australia, where co-infection of epidermal scabies lesions by Group A Streptococci or Staphylococcus aureus is thought to be responsible for the high rate of rheumatic heart disease and chronic kidney disease. We collected and separately sequenced mite DNA from several pools of thousands of whole mites from a porcine model of scabies (S. scabiei var. suis) and two human patients (S. scabiei var. hominis) living in different regions of northern Australia. Our sequencing samples the mite and its metagenome, including the mite gut flora and the wound micro-environment. Here, we describe the mitochondrial genome of the scabies mite. We developed a new de novo assembly pipeline based on a bait-and-reassemble strategy, which produced a 14 kilobase mitochondrial genome sequence assembly. We also annotated 35 genes and have compared these to other Acari mites. We identified single nucleotide polymorphisms (SNPs) and used these to infer the presence of six haplogroups in our samples, Remarkably, these fall into two closely-related clades with one clade including both human and pig varieties. This supports earlier findings that only limited genetic differences may separate some human and animal varieties, and raises the possibility of cross-host infections. Finally, we used these mitochondrial haplotypes to show that the genetic diversity of individual infections is typically small with 1–3 distinct haplotypes per infestation. The scabies mite is a skin parasite that infects humans and other animal species, causing scabies, a contagious disease characterized by extreme itching. Scabies infections are a major health problem in developing countries and in indigenous Australian populations, where scabies is associated with pyoderma (skin sores) and linked to rheumatic fever and rheumatic heart disease. Little is known about the genetics of the scabies mite. We have assembled the mitochondrial genome of scabies mites obtained from human patients in Australia and from a pig model. While investigating the genetic diversity of each infestation, we found that mitochrondial genomes clustered into two broad clades and showed limited genetic diversity within each infestation. Remarkably, one closely related clade included both human and pig mites, suggesting that mite transmission from pig to human may be possible. This could have major implications in the management of porcine mange and human scabies.
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Affiliation(s)
- Ehtesham Mofiz
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne, Melbourne, Victoria, Australia
| | - Melanie Bahlo
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Mathematics and Statistics, University of Melbourne, Victoria, Australia
| | - Deborah Holt
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Bart J. Currie
- Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia
| | - Katja Fischer
- QIMR Berghofer Medical Research, Herston, Queensland, Australia
| | - Anthony T. Papenfuss
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Peter MacCallum Cancer Centre, East Melbourne, Australia
- * E-mail:
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86
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Eddyani M, Vandelannoote K, Meehan CJ, Bhuju S, Porter JL, Aguiar J, Seemann T, Jarek M, Singh M, Portaels F, Stinear TP, de Jong BC. A Genomic Approach to Resolving Relapse versus Reinfection among Four Cases of Buruli Ulcer. PLoS Negl Trop Dis 2015; 9:e0004158. [PMID: 26618509 PMCID: PMC4664471 DOI: 10.1371/journal.pntd.0004158] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 09/22/2015] [Indexed: 01/17/2023] Open
Abstract
Background Increased availability of Next Generation Sequencing (NGS) techniques allows, for the first time, to distinguish relapses from reinfections in patients with multiple Buruli ulcer (BU) episodes. Methodology We compared the number and location of single nucleotide polymorphisms (SNPs) identified by genomic screening between four pairs of Mycobacterium ulcerans isolates collected at the time of first diagnosis and at recurrence, derived from a collection of almost 5000 well characterized clinical samples from one BU treatment center in Benin. Principal Findings The findings suggest that after surgical treatment—without antibiotics—the second episodes were due to relapse rather than reinfection. Since specific antibiotics were introduced for the treatment of BU, the one patient with a culture available from both disease episodes had M. ulcerans isolates with a genomic distance of 20 SNPs, suggesting the patient was most likely reinfected rather than having a relapse. Conclusions To our knowledge, this study is the first to study recurrences in M. ulcerans using NGS, and to identify exogenous reinfection as causing a recurrence of BU. The occurrence of reinfection highlights the contribution of ongoing exposure to M. ulcerans to disease recurrence, and has implications for vaccine development. We compared the whole genomes of four pairs of Mycobacterium ulcerans isolates collected at the time of first diagnosis and at recurrence, derived from a collection of almost 5000 well characterized clinical samples from one BU treatment center in Benin. Our findings suggest that after surgical treatment—without antibiotics—the second episodes were due to relapse rather than reinfection. Since specific antibiotics were introduced for the treatment of BU, the one patient with a culture available from both disease episodes had M. ulcerans isolates with a larger genomic distance, suggesting that the patient was most likely reinfected rather than having a relapse. To our knowledge, this study is the first to assess recurrences in M. ulcerans using whole genomes, and to identify exogenous reinfection as causing a recurrence of BU. The occurrence of reinfection highlights the contribution of ongoing exposure to M. ulcerans to disease recurrence, and has implications for vaccine development.
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Affiliation(s)
- Miriam Eddyani
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Koen Vandelannoote
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Conor J Meehan
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sabin Bhuju
- Helmholtz Centre for Infection Research, GMAK, Braunschweig, Germany
| | - Jessica L Porter
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Julia Aguiar
- Centre de Dépistage et de Traitement de l'Ulcère de Buruli Gbemotin, Zagnanado, Benin
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, Victoria, Australia
| | - Michael Jarek
- Helmholtz Centre for Infection Research, GMAK, Braunschweig, Germany
| | - Mahavir Singh
- Helmholtz Centre for Infection Research, GMAK, Braunschweig, Germany
| | - Françoise Portaels
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Timothy P Stinear
- Department of Microbiology and Immunology, Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia
| | - Bouke C de Jong
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,New York University, New York, New York, United States of America
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87
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Meumann EM, Globan M, Fyfe JAM, Leslie D, Porter JL, Seemann T, Denholm J, Stinear TP. Genome sequence comparisons of serial multi-drug-resistant Mycobacterium tuberculosis isolates over 21 years of infection in a single patient. Microb Genom 2015; 1:e000037. [PMID: 28348821 PMCID: PMC5320678 DOI: 10.1099/mgen.0.000037] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 09/28/2015] [Indexed: 11/18/2022] Open
Abstract
We report a case of chronic pulmonary multi-drug-resistant tuberculosis. Despite 14 years of treatment, Mycobacterium tuberculosis was persistently isolated from sputum. Following treatment cessation the patient remained well, although M. tuberculosis was isolated from sputum for a further 8 years. Genome sequencing of eight serial M. tuberculosis isolates cultured between 1991 and 2011 revealed 17 mutations (0.8 mutations per genome year- 1). Eight of these were persisting mutations and only two mutations were detected in the 7 years following cessation of treatment in 2004. In four isolates there were mixed alleles, suggesting the likely presence of bacterial subpopulations. The initial 1991 isolate demonstrated genotypic resistance to isoniazid (katG W91R), rifampicin (rpoB S531L), ethambutol (embB M306V), streptomycin (gidB L16R), quinolones (gyrA S95T) and P-aminosalicylic acid (thyA T202A). Subsequent resistance mutations developed for pyrazinamide (pncA I31F) and ethionamide (ethA frameshift). Such information might have been instructive when developing a treatment regimen. In retrospect and with the benefit of high-resolution genomic hindsight we were able to determine that the patient received only one or two active anti-tuberculous agents for most of their treatment. Additionally, mutations in bacA and Rv2326c were detected, which may have contributed to the persistent but mild disease course. BacA is likely to be associated with maintenance of chronic infection and Rv2326c with a decreased bacterial metabolic state. These results expand our understanding of M. tuberculosis evolution during human infection and underline the link between antibiotic resistance and clinical persistence.
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Affiliation(s)
- Ella M Meumann
- Victorian Infectious Disease Service, Melbourne Health, Melbourne, Victoria 3000, Australia.,Doherty Institute for Infection and Immunity, Victoria 3000, Australia
| | - Maria Globan
- Doherty Institute for Infection and Immunity, Victoria 3000, Australia.,Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Melbourne Health, Melbourne, Victoria 3000, Australia
| | - Janet A M Fyfe
- Doherty Institute for Infection and Immunity, Victoria 3000, Australia.,Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Melbourne Health, Melbourne, Victoria 3000, Australia
| | - David Leslie
- Doherty Institute for Infection and Immunity, Victoria 3000, Australia.,Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Melbourne Health, Melbourne, Victoria 3000, Australia
| | - Jessica L Porter
- Doherty Institute for Infection and Immunity, Victoria 3000, Australia.,Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, Victoria 3010, Australia.,Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
| | - Justin Denholm
- Victorian Tuberculosis Program, Melbourne, Victoria 3000, Australia.,Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia.,Doherty Institute for Infection and Immunity, Victoria 3000, Australia.,Victorian Infectious Disease Service, Melbourne Health, Melbourne, Victoria 3000, Australia
| | - Timothy P Stinear
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3000, Australia.,Doherty Applied Microbial Genomics, Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia.,Doherty Institute for Infection and Immunity, Victoria 3000, Australia
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88
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Gao W, Monk IR, Tobias NJ, Gladman SL, Seemann T, Stinear TP, Howden BP. Large tandem chromosome expansions facilitate niche adaptation during persistent infection with drug-resistant Staphylococcus aureus. Microb Genom 2015; 1:e000026. [PMID: 28348811 PMCID: PMC5320569 DOI: 10.1099/mgen.0.000026] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 06/15/2015] [Indexed: 01/25/2023] Open
Abstract
We used genomics to study the evolution of meticillin-resistant Staphylococcus aureus (MRSA) during a complex, protracted clinical infection. Preparing closed MRSA genomes from days 0 and 115 allowed us to precisely reconstruct all genetic changes that occurred. Twenty-three MRSA blood cultures were also obtained during treatment, yielding 44 colony morphotypes that varied in size, haemolysis and antibiotic susceptibility. A subset of 15 isolates was sequenced and shown to harbour a total of 37 sequence polymorphisms. Eighty per cent of all mutations occurred from day 45 onwards, which coincided with the appearance of discrete chromosome expansions, and concluded in the day 115 isolate with a 98 kb tandem DNA duplication. In all heterogeneous vancomycin-intermediate Staphylococcus aureus isolates, the chromosomal amplification spanned at least a 20 kb region that notably included mprF, a gene involved in resistance to antimicrobial peptides, and parC, an essential DNA replication gene with an unusual V463 codon insertion. Restoration of the chromosome after serial passage under non-selective growth was accompanied by increased susceptibility to antimicrobial peptide killing and reduced vancomycin resistance, two signature phenotypes that help explain the clinical persistence of this strain. Elevated expression of the V463 parC was deleterious to the cell and reduced colony size, but did not alter ciprofloxacin susceptibility. In this study, we identified large DNA expansions as a clinically relevant mechanism of S. aureus resistance and persistence, demonstrating the extent to which bacterial chromosomes remodel in the face of antibiotic and host immune pressures.
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Affiliation(s)
- Wei Gao
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
- Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
| | - Ian R. Monk
- Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
| | - Nicholas J. Tobias
- Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
| | - Simon L. Gladman
- Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Torsten Seemann
- Victorian Life Sciences Computation Initiative, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Timothy P. Stinear
- Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
- Correspondence: Timothy P. Stinear ()
| | - Benjamin P. Howden
- Microbiological Diagnostic Unit Public Health Laboratory, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
- Department of Microbiology and Immunology, University of Melbourne, Doherty Institute for Infection and Immunity, Parkville, Victoria 3010, Australia
- Infectious Diseases Department, Austin Hospital, Heidelberg, Victoria 3084, Australia
- Benjamin P. Howden ()
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89
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Harrison PF, Powell DR, Clancy JL, Preiss T, Boag PR, Traven A, Seemann T, Beilharz TH. PAT-seq: a method to study the integration of 3'-UTR dynamics with gene expression in the eukaryotic transcriptome. RNA 2015; 21:1502-10. [PMID: 26092945 PMCID: PMC4509939 DOI: 10.1261/rna.048355.114] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 04/20/2015] [Indexed: 05/21/2023]
Abstract
A major objective of systems biology is to quantitatively integrate multiple parameters from genome-wide measurements. To integrate gene expression with dynamics in poly(A) tail length and adenylation site, we developed a targeted next-generation sequencing approach, Poly(A)-Test RNA-sequencing. PAT-seq returns (i) digital gene expression, (ii) polyadenylation site/s, and (iii) the polyadenylation-state within and between eukaryotic transcriptomes. PAT-seq differs from previous 3' focused RNA-seq methods in that it depends strictly on 3' adenylation within total RNA samples and that the full-native poly(A) tail is included in the sequencing libraries. Here, total RNA samples from budding yeast cells were analyzed to identify the intersect between adenylation state and gene expression in response to loss of the major cytoplasmic deadenylase Ccr4. Furthermore, concordant changes to gene expression and adenylation-state were demonstrated in the classic Crabtree-Warburg metabolic shift. Because all polyadenylated RNA is interrogated by the approach, alternative adenylation sites, noncoding RNA and RNA-decay intermediates were also identified. Most important, the PAT-seq approach uses standard sequencing procedures, supports significant multiplexing, and thus replication and rigorous statistical analyses can for the first time be brought to the measure of 3'-UTR dynamics genome wide.
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Affiliation(s)
- Paul F Harrison
- Victorian Bioinformatics Consortium, Monash University, Clayton 3800, Australia Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton 3053, Australia Monash Bioinformatics Platform, Monash University, Clayton 3800, Australia
| | - David R Powell
- Victorian Bioinformatics Consortium, Monash University, Clayton 3800, Australia Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton 3053, Australia Monash Bioinformatics Platform, Monash University, Clayton 3800, Australia
| | - Jennifer L Clancy
- EMBL-Australia Collaborating Laboratory, Genome Biology Department, The John Curtin School of Medical Research (JCSMR), The Australian National University, Acton (Canberra) 2601, Australian Capital Territory, Australia
| | - Thomas Preiss
- EMBL-Australia Collaborating Laboratory, Genome Biology Department, The John Curtin School of Medical Research (JCSMR), The Australian National University, Acton (Canberra) 2601, Australian Capital Territory, Australia Victor Chang Cardiac Research Institute, Darlinghurst (Sydney), New South Wales 2010, Australia
| | - Peter R Boag
- Department of Biochemistry and Molecular Biology, Monash University, Clayton 3800, Australia
| | - Ana Traven
- Department of Biochemistry and Molecular Biology, Monash University, Clayton 3800, Australia
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Clayton 3800, Australia Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton 3053, Australia
| | - Traude H Beilharz
- Department of Biochemistry and Molecular Biology, Monash University, Clayton 3800, Australia
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90
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Moustafa AM, Seemann T, Gladman S, Adler B, Harper M, Boyce JD, Bennett MD. Comparative Genomic Analysis of Asian Haemorrhagic Septicaemia-Associated Strains of Pasteurella multocida Identifies More than 90 Haemorrhagic Septicaemia-Specific Genes. PLoS One 2015; 10:e0130296. [PMID: 26151935 PMCID: PMC4495038 DOI: 10.1371/journal.pone.0130296] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2015] [Accepted: 05/19/2015] [Indexed: 12/16/2022] Open
Abstract
Pasteurella multocida is the primary causative agent of a range of economically important diseases in animals, including haemorrhagic septicaemia (HS), a rapidly fatal disease of ungulates. There is limited information available on the diversity of P. multocida strains that cause HS. Therefore, we determined draft genome sequences of ten disease-causing isolates and two vaccine strains and compared these genomes using a range of bioinformatic analyses. The draft genomes of the 12 HS strains were between 2,298,035 and 2,410,300 bp in length. Comparison of these genomes with the North American HS strain, M1404, and other available P. multocida genomes (Pm70, 3480, 36950 and HN06) identified a core set of 1,824 genes. A set of 96 genes was present in all HS isolates and vaccine strains examined in this study, but absent from Pm70, 3480, 36950 and HN06. Moreover, 59 genes were shared only by the Asian B:2 strains. In two Pakistani isolates, genes with high similarity to genes in the integrative and conjugative element, ICEPmu1 from strain 36950 were identified along with a range of other antimicrobial resistance genes. Phylogenetic analysis indicated that the HS strains formed clades based on their country of isolation. Future analysis of the 96 genes unique to the HS isolates will aid the identification of HS-specific virulence attributes and facilitate the development of disease-specific diagnostic tests.
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Affiliation(s)
- Ahmed M. Moustafa
- School of Veterinary and Life Sciences, Murdoch University, South Street, Perth, Western Australia, Australia
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- Victorian Life Sciences Computation Initiative, Grattan Street, Carlton, Melbourne, Victoria, Australia
| | - Simon Gladman
- Victorian Bioinformatics Consortium, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- Victorian Life Sciences Computation Initiative, Grattan Street, Carlton, Melbourne, Victoria, Australia
| | - Ben Adler
- Australian Research Council Centre of Excellence in Structural and Functional Microbial Genomics, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- Department of Microbiology, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
| | - Marina Harper
- Australian Research Council Centre of Excellence in Structural and Functional Microbial Genomics, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- Department of Microbiology, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
| | - John D. Boyce
- Australian Research Council Centre of Excellence in Structural and Functional Microbial Genomics, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- Department of Microbiology, Monash University, Wellington Road, Clayton, Melbourne, Victoria, Australia
- * E-mail:
| | - Mark D. Bennett
- School of Veterinary and Life Sciences, Murdoch University, South Street, Perth, Western Australia, Australia
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91
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Ablordey AS, Vandelannoote K, Frimpong IA, Ahortor EK, Amissah NA, Eddyani M, Durnez L, Portaels F, de Jong BC, Leirs H, Porter JL, Mangas KM, Lam MMC, Buultjens A, Seemann T, Tobias NJ, Stinear TP. Correction: Whole Genome Comparisons Suggest Random Distribution of Mycobacterium ulcerans Genotypes in a Buruli Ulcer Endemic Region of Ghana. PLoS Negl Trop Dis 2015; 9:e0003798. [PMID: 25970176 PMCID: PMC4430544 DOI: 10.1371/journal.pntd.0003798] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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92
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Zhu W, Ausin I, Seleznev A, Méndez-Vigo B, Picó FX, Sureshkumar S, Sundaramoorthi V, Bulach D, Powell D, Seemann T, Alonso-Blanco C, Balasubramanian S. Natural Variation Identifies ICARUS1, a Universal Gene Required for Cell Proliferation and Growth at High Temperatures in Arabidopsis thaliana. PLoS Genet 2015; 11:e1005085. [PMID: 25951176 PMCID: PMC4423873 DOI: 10.1371/journal.pgen.1005085] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 02/20/2015] [Indexed: 12/17/2022] Open
Abstract
Plants are highly sensitive to environmental changes and even small variations in ambient temperature have severe consequences on their growth and development. Temperature affects multiple aspects of plant development, but the processes and mechanisms underlying thermo-sensitive growth responses are mostly unknown. Here we exploit natural variation in Arabidopsis thaliana to identify and characterize novel components and processes mediating thermo-sensitive growth responses in plants. Phenotypic screening of wild accessions identified several strains displaying pleiotropic growth defects, at cellular and organism levels, specifically at high ambient temperatures. Positional cloning and characterization of the underlying gene revealed that ICARUS1 (ICA1), which encodes a protein of the tRNAHis guanylyl transferase (Thg1) superfamily, is required for plant growth at high temperatures. Transcriptome and gene marker analyses together with DNA content measurements show that ICA1 loss-of-function results in down regulation of cell cycle associated genes at high temperatures, which is linked with a block in G2/M transition and endoreduplication. In addition, plants with mutations in ICA1 show enhanced sensitivity to DNA damage. Characterization of additional strains that carry lesions in ICA1, but display normal growth, shows that alternative splicing is likely to alleviate the deleterious effects of some natural mutations. Furthermore, analyses of worldwide and regional collections of natural accessions indicate that ICA1 loss-of-function has arisen several times independently, and that these occur at high frequency in some local populations. Overall our results suggest that ICA1-mediated-modulation of fundamental processes such as tRNAHis maturation, modify plant growth responses to temperature changes in a quantitative and reversible manner, in natural populations. The increase in average temperatures across the globe has been predicted to have negative impacts on agricultural productivity. Therefore, there is a need to understand the molecular mechanisms that underlie plant growth responses to varying temperature regimes. At present, very little is known about the genes and pathways that modulate thermo-sensory growth responses in plants. In this article, the authors exploit natural variation in the commonly occurring weed thale cress (Arabidopsis thaliana) and identify a gene referred to as ICARUS1 to be required for plant growth at higher ambient temperatures. Plants carrying lesions in this gene stop growing at high temperatures and revert to growth when temperatures reduce. Using a combination of computational, molecular and cell biological approaches, the authors demonstrate that allelic variation at ICARUS1, which encodes an enzyme required for the fundamental biochemical process of tRNAHis maturation, underlies variation in thermo-sensory growth responses of A. thaliana. Furthermore, the authors discover that the deleterious impact of a natural mutation in ICARUS1 is suppressed through alternative splicing, thus suggesting the potential for alternative splicing to buffer the impacts of some natural mutations. These results support that modulation of fundamental processes, in addition to transcriptional regulation, mediate thermo-sensory growth responses in plants.
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Affiliation(s)
- Wangsheng Zhu
- School of Biological Sciences, Monash University, Victoria, Australia
| | - Israel Ausin
- Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Andrei Seleznev
- School of Biological Sciences, Monash University, Victoria, Australia
| | - Belén Méndez-Vigo
- Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - F. Xavier Picó
- Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas (CSIC), Seville, Spain
| | | | | | - Dieter Bulach
- Victorian Bioinformatics Consortium, Monash University, Victoria, Australia
| | - David Powell
- Victorian Bioinformatics Consortium, Monash University, Victoria, Australia
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Victoria, Australia
| | - Carlos Alonso-Blanco
- Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- * E-mail: (CAB); (SB)
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93
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Ablordey AS, Vandelannoote K, Frimpong IA, Ahortor EK, Amissah NA, Eddyani M, Durnez L, Portaels F, de Jong BC, Leirs H, Porter JL, Mangas KM, Lam MMC, Buultjens A, Seemann T, Tobias NJ, Stinear TP. Whole genome comparisons suggest random distribution of Mycobacterium ulcerans genotypes in a Buruli ulcer endemic region of Ghana. PLoS Negl Trop Dis 2015; 9:e0003681. [PMID: 25826332 PMCID: PMC4380315 DOI: 10.1371/journal.pntd.0003681] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 03/06/2015] [Indexed: 12/01/2022] Open
Abstract
Efforts to control the spread of Buruli ulcer – an emerging ulcerative skin infection caused by Mycobacterium ulcerans - have been hampered by our poor understanding of reservoirs and transmission. To help address this issue, we compared whole genomes from 18 clinical M. ulcerans isolates from a 30km2 region within the Asante Akim North District, Ashanti region, Ghana, with 15 other M. ulcerans isolates from elsewhere in Ghana and the surrounding countries of Ivory Coast, Togo, Benin and Nigeria. Contrary to our expectations of finding minor DNA sequence variations among isolates representing a single M. ulcerans circulating genotype, we found instead two distinct genotypes. One genotype was closely related to isolates from neighbouring regions of Amansie West and Densu, consistent with the predicted local endemic clone, but the second genotype (separated by 138 single nucleotide polymorphisms [SNPs] from other Ghanaian strains) most closely matched M. ulcerans from Nigeria, suggesting another introduction of M. ulcerans to Ghana, perhaps from that country. Both the exotic genotype and the local Ghanaian genotype displayed highly restricted intra-strain genetic variation, with less than 50 SNP differences across a 5.2Mbp core genome within each genotype. Interestingly, there was no discernible spatial clustering of genotypes at the local village scale. Interviews revealed no obvious epidemiological links among BU patients who had been infected with identical M. ulcerans genotypes but lived in geographically separate villages. We conclude that M. ulcerans is spread widely across the region, with multiple genotypes present in any one area. These data give us new perspectives on the behaviour of possible reservoirs and subsequent transmission mechanisms of M. ulcerans. These observations also show for the first time that M. ulcerans can be mobilized, introduced to a new area and then spread within a population. Potential reservoirs of M. ulcerans thus might include humans, or perhaps M. ulcerans-infected animals such as livestock that move regularly between countries. In this study we use the power of whole genome sequence comparisons to track the spread of Mycobacterium ulcerans, the causative agent of Buruli ulcer, through several villages in the Ashanti region of Ghana, providing new insights on the behaviour of this enigmatic and emerging pathogen.
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Affiliation(s)
- Anthony S. Ablordey
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
- * E-mail: (ASA); (TPS)
| | - Koen Vandelannoote
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Isaac A. Frimpong
- Department of Animal Biology and Conservation Science, University of Ghana, Accra, Ghana
| | - Evans K. Ahortor
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Nana Ama Amissah
- Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Miriam Eddyani
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Lies Durnez
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Françoise Portaels
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Bouke C. de Jong
- Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Herwig Leirs
- Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Jessica L. Porter
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Kirstie M. Mangas
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Margaret M. C. Lam
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Andrew Buultjens
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Torsten Seemann
- Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton, Victoria, Australia
| | - Nicholas J. Tobias
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
| | - Timothy P. Stinear
- Department of Microbiology and Immunology, University of Melbourne, Parkville, Australia
- * E-mail: (ASA); (TPS)
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94
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Stinear TP, Holt KE, Chua K, Stepnell J, Tuck KL, Coombs G, Harrison PF, Seemann T, Howden BP. Adaptive change inferred from genomic population analysis of the ST93 epidemic clone of community-associated methicillin-resistant Staphylococcus aureus. Genome Biol Evol 2015; 6:366-78. [PMID: 24482534 PMCID: PMC3942038 DOI: 10.1093/gbe/evu022] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) has emerged as a major public health problem around the world. In Australia, ST93-IV[2B] is the dominant CA-MRSA clone and displays significantly greater virulence than other S. aureus. Here, we have examined the evolution of ST93 via genomic analysis of 12 MSSA and 44 MRSA ST93 isolates, collected from around Australia over a 17-year period. Comparative analysis revealed a core genome of 2.6 Mb, sharing greater than 99.7% nucleotide identity. The accessory genome was 0.45 Mb and comprised additional mobile DNA elements, harboring resistance to erythromycin, trimethoprim, and tetracycline. Phylogenetic inference revealed a molecular clock and suggested that a single clone of methicillin susceptible, Panton-Valentine leukocidin (PVL) positive, ST93 S. aureus likely spread from North Western Australia in the early 1970s, acquiring methicillin resistance at least twice in the mid 1990s. We also explored associations between genotype and important MRSA phenotypes including oxacillin MIC and production of exotoxins (α-hemolysin [Hla], δ-hemolysin [Hld], PSMα3, and PVL). High-level expression of Hla is a signature feature of ST93 and reduced expression in eight isolates was readily explained by mutations in the agr locus. However, subtle but significant decreases in Hld were also noted over time that coincided with decreasing oxacillin resistance and were independent of agr mutations. The evolution of ST93 S. aureus is thus associated with a reduction in both exotoxin expression and oxacillin MIC, suggesting MRSA ST93 isolates are under pressure for adaptive change.
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Affiliation(s)
- Timothy P Stinear
- Department of Microbiology and Immunology, University of Melbourne, Victoria, Australia
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95
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Möller S, Afgan E, Banck M, Bonnal RJP, Booth T, Chilton J, Cock PJA, Gumbel M, Harris N, Holland R, Kalaš M, Kaján L, Kibukawa E, Powel DR, Prins P, Quinn J, Sallou O, Strozzi F, Seemann T, Sloggett C, Soiland-Reyes S, Spooner W, Steinbiss S, Tille A, Travis AJ, Guimera R, Katayama T, Chapman BA. Community-driven development for computational biology at Sprints, Hackathons and Codefests. BMC Bioinformatics 2014; 15 Suppl 14:S7. [PMID: 25472764 PMCID: PMC4255748 DOI: 10.1186/1471-2105-15-s14-s7] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Computational biology comprises a wide range of technologies and approaches. Multiple technologies can be combined to create more powerful workflows if the individuals contributing the data or providing tools for its interpretation can find mutual understanding and consensus. Much conversation and joint investigation are required in order to identify and implement the best approaches. Traditionally, scientific conferences feature talks presenting novel technologies or insights, followed up by informal discussions during coffee breaks. In multi-institution collaborations, in order to reach agreement on implementation details or to transfer deeper insights in a technology and practical skills, a representative of one group typically visits the other. However, this does not scale well when the number of technologies or research groups is large. Conferences have responded to this issue by introducing Birds-of-a-Feather (BoF) sessions, which offer an opportunity for individuals with common interests to intensify their interaction. However, parallel BoF sessions often make it hard for participants to join multiple BoFs and find common ground between the different technologies, and BoFs are generally too short to allow time for participants to program together. Results This report summarises our experience with computational biology Codefests, Hackathons and Sprints, which are interactive developer meetings. They are structured to reduce the limitations of traditional scientific meetings described above by strengthening the interaction among peers and letting the participants determine the schedule and topics. These meetings are commonly run as loosely scheduled "unconferences" (self-organized identification of participants and topics for meetings) over at least two days, with early introductory talks to welcome and organize contributors, followed by intensive collaborative coding sessions. We summarise some prominent achievements of those meetings and describe differences in how these are organised, how their audience is addressed, and their outreach to their respective communities. Conclusions Hackathons, Codefests and Sprints share a stimulating atmosphere that encourages participants to jointly brainstorm and tackle problems of shared interest in a self-driven proactive environment, as well as providing an opportunity for new participants to get involved in collaborative projects.
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96
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Bager RJ, Kudirkiene E, da Piedade I, Seemann T, Nielsen TK, Pors SE, Mattsson AH, Boyce JD, Adler B, Bojesen AM. In silico prediction of Gallibacterium anatis pan-immunogens. Vet Res 2014; 45:80. [PMID: 25223320 PMCID: PMC4423631 DOI: 10.1186/s13567-014-0080-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 07/21/2014] [Indexed: 12/22/2022] Open
Abstract
The Gram-negative bacterium Gallibacterium anatis is a major cause of salpingitis and peritonitis in commercial egg-layers, leading to reduced egg production and increased mortality. Unfortunately, widespread multidrug resistance and antigenic diversity makes it difficult to control infections and novel prevention strategies are urgently needed. In this study, a pan-genomic reverse vaccinology (RV) approach was used to identify potential vaccine candidates. Firstly, the genomes of 10 selected Gallibacterium strains were analyzed and proteins selected on the following criteria; predicted surface-exposure or secretion, none or one transmembrane helix (TMH), and presence in six or more of the 10 genomes. In total, 42 proteins were selected. The genes encoding 27 of these proteins were successfully cloned in Escherichia coli and the proteins expressed and purified. To reduce the number of vaccine candidates for in vivo testing, each of the purified recombinant proteins was screened by ELISA for their ability to elicit a significant serological response with serum from chickens that had been infected with G. anatis. Additionally, an in silico prediction of the protective potential was carried out based on a protein property prediction method. Of the 27 proteins, two novel putative immunogens were identified; Gab_1309 and Gab_2312. Moreover, three previously characterized virulence factors; GtxA, FlfA and Gab_2156, were identified. Thus, by combining the pan-genomic RV approach with subsequent in vitro and in silico screening, we have narrowed down the pan-proteome of G. anatis to five vaccine candidates. Importantly, preliminary immunization trials indicated an in vivo protective potential of GtxA-N, FlfA and Gab_1309.
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Affiliation(s)
- Ragnhild J Bager
- Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark.
| | - Egle Kudirkiene
- Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark.
| | - Isabelle da Piedade
- Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark.
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, 3800, Clayton, Melbourne, Australia.
| | - Tine K Nielsen
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark.
| | - Susanne E Pors
- Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark.
| | - Andreas H Mattsson
- Center for Biological Sequence Analysis, Technical University of Denmark, 2800, Lyngby, Denmark. .,Evaxion Biotech North America LLC, Wilmington, USA.
| | - John D Boyce
- Department of Microbiology, Monash University, 3800, Clayton, Melbourne, Australia.
| | - Ben Adler
- Australian Research Council Centre of Excellence in Structural and Functional Microbial Genomics, Department of Microbiology, Monash University, 3800, Clayton, Melbourne, Australia.
| | - Anders M Bojesen
- Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark.
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97
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Lim SK, Stuart RL, Mackin KE, Carter GP, Kotsanas D, Francis MJ, Easton M, Dimovski K, Elliott B, Riley TV, Hogg G, Paul E, Korman TM, Seemann T, Stinear TP, Lyras D, Jenkin GA. Emergence of a Ribotype 244 Strain of Clostridium difficile Associated With Severe Disease and Related to the Epidemic Ribotype 027 Strain. Clin Infect Dis 2014; 58:1723-30. [DOI: 10.1093/cid/ciu203] [Citation(s) in RCA: 97] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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98
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Abstract
UNLABELLED The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. AVAILABILITY AND IMPLEMENTATION Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/.
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Affiliation(s)
- Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Clayton 3800 and Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton 3053, AustraliaVictorian Bioinformatics Consortium, Monash University, Clayton 3800 and Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton 3053, Australia
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99
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Chua KYL, Monk IR, Lin YH, Seemann T, Tuck KL, Porter JL, Stepnell J, Coombs GW, Davies JK, Stinear TP, Howden BP. Hyperexpression of α-hemolysin explains enhanced virulence of sequence type 93 community-associated methicillin-resistant Staphylococcus aureus. BMC Microbiol 2014; 14:31. [PMID: 24512075 PMCID: PMC3922988 DOI: 10.1186/1471-2180-14-31] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 02/05/2014] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The community-associated methicillin-resistant S. aureus (CA-MRSA) ST93 clone is becoming dominant in Australia and is clinically highly virulent. In addition, sepsis and skin infection models demonstrate that ST93 CA-MRSA is the most virulent global clone of S. aureus tested to date. While the determinants of virulence have been studied in other clones of CA-MRSA, the basis for hypervirulence in ST93 CA-MRSA has not been defined. RESULTS Here, using a geographically and temporally dispersed collection of ST93 isolates we demonstrate that the ST93 population hyperexpresses key CA-MRSA exotoxins, in particular α-hemolysin, in comparison to other global clones. Gene deletion and complementation studies, and virulence comparisons in a murine skin infection model, showed unequivocally that increased expression of α-hemolysin is the key staphylococcal virulence determinant for this clone. Genome sequencing and comparative genomics of strains with divergent exotoxin profiles demonstrated that, like other S. aureus clones, the quorum sensing agr system is the master regulator of toxin expression and virulence in ST93 CA-MRSA. However, we also identified a previously uncharacterized AraC/XylS family regulator (AryK) that potentiates toxin expression and virulence in S. aureus. CONCLUSIONS These data demonstrate that hyperexpression of α-hemolysin mediates enhanced virulence in ST93 CA-MRSA, and additional control of exotoxin production, in particular α-hemolysin, mediated by regulatory systems other than agr have the potential to fine-tune virulence in CA-MRSA.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Benjamin P Howden
- Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria 3052, Australia.
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100
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Davies JK, Harrison PF, Lin YH, Bartley S, Khoo CA, Seemann T, Ryan CS, Kahler CM, Hill SA. The use of high-throughput DNA sequencing in the investigation of antigenic variation: application to Neisseria species. PLoS One 2014; 9:e86704. [PMID: 24466206 PMCID: PMC3899283 DOI: 10.1371/journal.pone.0086704] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Accepted: 12/11/2013] [Indexed: 11/18/2022] Open
Abstract
Antigenic variation occurs in a broad range of species. This process resembles gene conversion in that variant DNA is unidirectionally transferred from partial gene copies (or silent loci) into an expression locus. Previous studies of antigenic variation have involved the amplification and sequencing of individual genes from hundreds of colonies. Using the pilE gene from Neisseria gonorrhoeae we have demonstrated that it is possible to use PCR amplification, followed by high-throughput DNA sequencing and a novel assembly process, to detect individual antigenic variation events. The ability to detect these events was much greater than has previously been possible. In N. gonorrhoeae most silent loci contain multiple partial gene copies. Here we show that there is a bias towards using the copy at the 3' end of the silent loci (copy 1) as the donor sequence. The pilE gene of N. gonorrhoeae and some strains of Neisseria meningitidis encode class I pilin, but strains of N. meningitidis from clonal complexes 8 and 11 encode a class II pilin. We have confirmed that the class II pili of meningococcal strain FAM18 (clonal complex 11) are non-variable, and this is also true for the class II pili of strain NMB from clonal complex 8. In addition when a gene encoding class I pilin was moved into the meningococcal strain NMB background there was no evidence of antigenic variation. Finally we investigated several members of the opa gene family of N. gonorrhoeae, where it has been suggested that limited variation occurs. Variation was detected in the opaK gene that is located close to pilE, but not at the opaJ gene located elsewhere on the genome. The approach described here promises to dramatically improve studies of the extent and nature of antigenic variation systems in a variety of species.
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Affiliation(s)
- John K. Davies
- Department of Microbiology, Monash University, Clayton, Victoria, Australia
- * E-mail:
| | - Paul F. Harrison
- Victorian Bioinformatics Consortium, Monash University, Clayton, Victoria, Australia
| | - Ya-Hsun Lin
- Department of Microbiology, Monash University, Clayton, Victoria, Australia
| | | | - Chen Ai Khoo
- Department of Microbiology, Monash University, Clayton, Victoria, Australia
| | - Torsten Seemann
- Victorian Bioinformatics Consortium, Monash University, Clayton, Victoria, Australia
| | - Catherine S. Ryan
- Department of Microbiology, Monash University, Clayton, Victoria, Australia
| | - Charlene M. Kahler
- School of Pathology and Laboratory Medicine
- The Marshall Centre for Infectious Diseases, Research and Training, University of Western Australia, Nedlands, Western Australia, Australia
- Telethon Institute of Child Health Research, University of Western Australia, Nedlands, Western Australia, Australia
| | - Stuart A. Hill
- Department of Biological Sciences, Northern Illinois University, DeKalb, Illinois, United States of America
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