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Neoh HM, Tan XE, Sapri HF, Tan TL. Pulsed-field gel electrophoresis (PFGE): A review of the "gold standard" for bacteria typing and current alternatives. INFECTION GENETICS AND EVOLUTION 2019; 74:103935. [PMID: 31233781 DOI: 10.1016/j.meegid.2019.103935] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/18/2019] [Accepted: 06/20/2019] [Indexed: 12/01/2022]
Abstract
Pulsed-field gel electrophoresis (PFGE) is considered the "gold standard" for bacteria typing. The method involves enzyme restriction of bacteria DNA, separation of the restricted DNA bands using a pulsed-field electrophoresis chamber, followed by clonal assignment of bacteria based on PFGE banding patterns. Various PFGE protocols have been developed for typing different bacteria, leading it to be one of the most widely used methods for phylogenetic studies, food safety surveillance, infection control and outbreak investigations. On the other hand, as PFGE is lengthy and labourious, several PCR-based typing methods can be used as alternatives for research purposes. Recently, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and whole genome sequencing (WGS) have also been proposed for bacteria typing. In fact, as WGS provides more information, such as antimicrobial resistance and virulence of the tested bacteria in comparison to PFGE, more and more laboratories are currently transitioning from PFGE to WGS for bacteria typing. Nevertheless, PFGE will remain an affordable and relevant technique for small laboratories and hospitals in years to come.
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Affiliation(s)
- Hui-Min Neoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Malaysia.
| | - Xin-Ee Tan
- Department of Infection and Immunity, School of Medicine, Jichi Medical University, Japan
| | - Hassriana Fazilla Sapri
- Department of Medical Microbiology & Immunology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Malaysia
| | - Toh Leong Tan
- Department of Emergency Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Malaysia
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2
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Multilocus variable-number tandem-repeat analysis of Neisseria meningitidis serogroup C in China. Epidemiol Infect 2015; 143:3001-10. [PMID: 25778999 DOI: 10.1017/s0950268815000473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
This study characterized Neisseria meningitidis serogroup C strains in China in order to establish their genetic relatedness and describe the use of multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) to provide useful epidemiological information. A total of 215 N. meningitidis serogroup C strains, obtained from 2003 to 2012 in China, were characterized by MLVA with different published schemes as well as multilocus sequence typing. (i) Based on the MLVA scheme with a combination of five highly variable loci, 203 genotypes were identified; this level of discrimination supports its use for resolving closely related isolates. (ii) Based on a combination of ten low variable loci, clear phylogenetic relationships were established within sequence type complexes. In addition, there was evidence of microevolution of VNTR loci over the decade as strain lineages spread from Anhui to other provinces, the more distant the provinces from Anhui, the higher the genetic variation.
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Shan X, Zhou H, Zhang J, Zhu B, Xu L, Hu G, Bai A, Shao Z, Jiang B. Application of multiple-locus variable number tandem repeat analysis to identify outbreak-associated Neisseria meningitides serogroup C sequence type 4821 in China. PLoS One 2015; 10:e0116422. [PMID: 25603352 PMCID: PMC4300189 DOI: 10.1371/journal.pone.0116422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Accepted: 12/09/2014] [Indexed: 01/07/2023] Open
Abstract
Neisseria meningitidis (N. meningitidis) serogroup C sequence type (ST)-4821 caused an outbreak in 2010 in Shandong province of China. Twenty-one non-outbreak-associated strains were isolated, along with twenty-eight N. meningitides serogroup C ST-4821 isolates. Therefore, it’s essential to identify and clarify characterization of the real outbreak-associated strains with a rapid method during an outbreak investigation. In this study, multiple-locus variable number tandem repeat analysis (MLVA) was applied to analyze 84 N. meningitidis strains, among which 58 were recovered from two outbreaks and 26 were sporadic isolates. Three MLVA schemes with different combination of VNTR loci were tested, and two of them were suitable for isolates from China: scheme 2 with six loci was found to separate ST into finer resolution, and scheme 3 with five loci can be used to identify outbreak-associated isolates from the same outbreak that caused by N. meningitidis serogroup C ST-4821.
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Affiliation(s)
- Xiaoying Shan
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R. China
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou City, Zhejiang Province, P.R. China
| | - Haijian Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou City, Zhejiang Province, P.R. China
| | - Ji Zhang
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
| | - Bingqing Zhu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou City, Zhejiang Province, P.R. China
| | - Li Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou City, Zhejiang Province, P.R. China
| | - Guangchun Hu
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
| | - Aiying Bai
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
| | - Zhujun Shao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou City, Zhejiang Province, P.R. China
- * E-mail: (ZJS); (BFJ)
| | - Baofa Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R. China
- * E-mail: (ZJS); (BFJ)
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4
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Shan X, Zhang J, Zhou H, Zhu B, Xu L, Shao Z, Jiang B. Genetic diversity of Neisseria meningitidis serogroup C ST-4821 in China based on multiple-locus variable number tandem repeat analysis. PLoS One 2014; 9:e111866. [PMID: 25375168 PMCID: PMC4222954 DOI: 10.1371/journal.pone.0111866] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Accepted: 10/03/2014] [Indexed: 11/18/2022] Open
Abstract
Neisseria meningitidis sequence type (ST)-4821 was first reported in China in 2003, and a new hyper-virulent lineage has been designated as the ST-4821 complex. A large number of N. meningitidis ST-4821 strains have been identified in China since 2003; however, the microevolution characteristics of this complex are unclear. Different combinations of variable number of tandem repeats (VNTR) loci were used in multiple-locus VNTR analysis (MLVA) to analyze 118 N. meningitidis serogroup C ST-4821 strains isolated from seventeen provinces between 2003 and 2012. Additionally, MLVA with five VNTR loci was performed due to its high discriminatory power. One hundred and eighteen isolates were found to comprise 112 subtypes based on MLVA, and 16 outbreak-associated strains were clustered into one group. These data indicate a high level of diversity for N. meningitidis ST-4821 due to microevolution in the last decade. In addition, the results revealed high similarity between isolates from the same geographic origins, which is helpful when monitoring the spread of N. meningitidis serogroup C ST-4821 and will provide valuable information for the control and prevention of bacterial meningitis in China.
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Affiliation(s)
- Xiaoying Shan
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R. China
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
| | - Ji Zhang
- Jinan Municipal Center for Disease Control and Prevention, Jinan City, Shandong Province, P.R. China
| | - Haijian Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
| | - Bingqing Zhu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
| | - Li Xu
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
| | - Zhujun Shao
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, P.R. China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, P.R. China
- * E-mail: (ZJS); (BFJ)
| | - Baofa Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R. China
- * E-mail: (ZJS); (BFJ)
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Törös B, Thulin Hedberg S, Jacobsson S, Fredlund H, Olcén P, Mölling P. Surveillance of invasive Neisseria meningitidis with a serogroup Y update, Sweden 2010 to 2012. Euro Surveill 2014; 19. [DOI: 10.2807/1560-7917.es2014.19.42.20940] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Binary file ES_Abstracts_Final_ECDC.txt matches
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Affiliation(s)
- B Törös
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
| | - S Thulin Hedberg
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
| | - S Jacobsson
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
| | - H Fredlund
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
| | - P Olcén
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
| | - P Mölling
- National Reference Laboratory for Pathogenic Neisseria, Department of Laboratory Medicine, Clinical Microbiology/Molecular diagnostics R&D, Örebro University Hospital, Örebro, Sweden
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6
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Chiou CS. Multilocus variable-number tandem repeat analysis as a molecular tool for subtyping and phylogenetic analysis of bacterial pathogens. Expert Rev Mol Diagn 2014; 10:5-7. [DOI: 10.1586/erm.09.76] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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7
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Pérez-Losada M, Cabezas P, Castro-Nallar E, Crandall KA. Pathogen typing in the genomics era: MLST and the future of molecular epidemiology. INFECTION GENETICS AND EVOLUTION 2013; 16:38-53. [PMID: 23357583 DOI: 10.1016/j.meegid.2013.01.009] [Citation(s) in RCA: 105] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2012] [Revised: 01/11/2013] [Accepted: 01/15/2013] [Indexed: 10/27/2022]
Abstract
Multi-locus sequence typing (MLST) is a high-resolution genetic typing approach to identify species and strains of pathogens impacting human health, agriculture (animals and plants), and biosafety. In this review, we outline the general concepts behind MLST, molecular approaches for obtaining MLST data, analytical approaches for MLST data, and the contributions MLST studies have made in a wide variety of areas. We then look at the future of MLST and their relative strengths and weaknesses with respect to whole genome sequence typing approaches that are moving into the research arena at an ever-increasing pace. Throughout the paper, we provide exemplar references of these various aspects of MLST. The literature is simply too vast to make this review comprehensive, nevertheless, we have attempted to include enough references in a variety of key areas to introduce the reader to the broad applications and complications of MLST data.
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Affiliation(s)
- Marcos Pérez-Losada
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661 Vairão, Portugal.
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8
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Jolley KA, Maiden MC. Automated extraction of typing information for bacterial pathogens from whole genome sequence data: Neisseria meningitidis as an exemplar. ACTA ACUST UNITED AC 2013; 18:20379. [PMID: 23369391 DOI: 10.2807/ese.18.04.20379-en] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Whole genome sequence (WGS) data are increasingly used to characterise bacterial pathogens. These data provide detailed information on the genotypes and likely phenotypes of aetiological agents, enabling the relationships of samples from potential disease outbreaks to be established precisely. However, the generation of increasing quantities of sequence data does not, in itself, resolve the problems that many microbiological typing methods have addressed over the last 100 years or so; indeed, providing large volumes of unstructured data can confuse rather than resolve these issues. Here we review the nascent field of storage of WGS data for clinical application and show how curated sequence-based typing schemes on websites have generated an infrastructure that can exploit WGS for bacterial typing efficiently. We review the tools that have been implemented within the PubMLST website to extract clinically useful, strain-characterisation information that can be provided to physicians and public health professionals in a timely, concise and understandable way. These data can be used to inform medical decisions such as how to treat a patient, whether to instigate public health action, and what action might be appropriate. The information is compatible both with previous sequence-based typing data and also with data obtained in the absence of WGS, providing a flexible infrastructure for WGS-based clinical microbiology.
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Affiliation(s)
- K A Jolley
- Department of Zoology, University of Oxford, Oxford, United Kingdom
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9
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Kushnir AV, Ilina EN, Malakhova MV, Priputnevich TV, Filipenko ML. Multiple-locus variable number tandem repeat analysis of Neisseria gonorrhoeae isolates in Russia. INFECTION GENETICS AND EVOLUTION 2012; 14:8-14. [PMID: 23257414 DOI: 10.1016/j.meegid.2012.11.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 10/29/2012] [Accepted: 11/27/2012] [Indexed: 11/29/2022]
Abstract
In the present study, a multiple-locus variable number tandem repeat analysis (MLVA) was used to assess the molecular epidemiology of Neisseria gonorrhoeae clinical isolates originating from different regions of Russia. MLVA, based on seven loci, was performed on 218 isolates that were previously tested for susceptibility to penicillin, tetracycline and ciprofloxacin and for the presence of certain genetic determinants of drug resistance. In total, 83 MLVA types were identified, indicating that MLVA is a highly discriminatory technique with a Hunter-Gaston discriminatory index of 0.963 (95% CI, 0.950-0.977). MLVA type 16 was shown to be the most prevalent type and is undoubtedly associated with a multidrug resistant phenotype. The spread of MLVA type 16 from Moscow to Irkutsk suggests that this type has a highly successful transmission rate. Hierarchical cluster analysis of the MLVA profiles classified 208 isolates (95%) into six large groups (containing more than 10 isolates). Clusters differed in geographical characteristics and susceptibility profiles. MLVA cluster A comprised in total 34 isolates and was unambiguously associated with multidrug resistance. Most isolates in cluster A carried mutations in penA, ponA, rpsJ, mtrR, gyrA, and parC genes. MLVA cluster D was associated with resistance to penicillin and with mutations in ponA and rpsJ genes and the presence of plasmid-borne bla(TEM-1) gene. MLVA clusters B, C and E were associated with susceptibility to ciprofloxacin and had a lack of mutations in ponA, rpsJ, gyrA, and parC genes. We conclude that MLVA will be a useful tool for N. gonorrhoeae epidemiological studies.
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Affiliation(s)
- Anastasiya V Kushnir
- Group of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Lavrentjeva, 8, Novosibirsk 630090, Russia.
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Törös B, Hedberg ST, Jacobsson S, Fredlund H, Olcén P, Mölling P. Evaluation of molecular typing methods for identification of outbreak-associatedNeisseria meningitidisisolates. APMIS 2012; 121:503-10. [DOI: 10.1111/apm.12022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2012] [Accepted: 10/03/2012] [Indexed: 11/28/2022]
Affiliation(s)
- Bianca Törös
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
| | - Sara T. Hedberg
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
| | - Susanne Jacobsson
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
| | - Hans Fredlund
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
| | - Per Olcén
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
| | - Paula Mölling
- National Reference Laboratory for Pathogenic Neisseria; Department of Laboratory Medicine; Clinical Microbiology; Örebro University Hospital; Örebro; Sweden
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11
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Multiclonal origin of macrolide-resistant Mycoplasma pneumoniae isolates as determined by multilocus variable-number tandem-repeat analysis. J Clin Microbiol 2012; 50:2793-5. [PMID: 22649013 DOI: 10.1128/jcm.00678-12] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
There was a high percentage of macrolide resistance in Mycoplasma pneumoniae clinical isolates in China. The genetic relatedness of macrolide-resistant M. pneunomiae strains was investigated using the multilocus variable-number tandem-repeat assay (MLVA). Among 152 M. pneunomiae isolates, the 137 macrolide-resistant strains were clustered into 15 MLVA types, indicating that the high macrolide resistance rate in M. pneumoniae is a result of the dissemination of the multiple resistant clones.
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12
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Evaluation of Neisseria gonorrhoeae multiple-locus variable-number tandem-repeat analysis, N. gonorrhoeae Multiantigen sequence typing, and full-length porB gene sequence analysis for molecular epidemiological typing. J Clin Microbiol 2011; 50:180-3. [PMID: 22075591 DOI: 10.1128/jcm.05386-11] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The performance characteristics of Neisseria gonorrhoeae multilocus variable-number tandem-repeat analysis were evaluated, by comparison with N. gonorrhoeae multiantigen sequence typing and full-length porB sequence typing. Assessment of the relatedness of intra- and interpatient isolates showed that all three genotyping techniques display a high resolution and typeability.
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13
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Wei HL, Kao CW, Wei SH, Tzen JTC, Chiou CS. Comparison of PCR ribotyping and multilocus variable-number tandem-repeat analysis (MLVA) for improved detection of Clostridium difficile. BMC Microbiol 2011; 11:217. [PMID: 21961456 PMCID: PMC3191483 DOI: 10.1186/1471-2180-11-217] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2011] [Accepted: 09/30/2011] [Indexed: 11/21/2022] Open
Abstract
Background Polymerase chain reaction (PCR) ribotyping is one of the globally accepted techniques for defining epidemic clones of Clostridium difficile and tracing virulence-related strains. However, the ambiguous data generated by this technique makes it difficult to compare data attained from different laboratories; therefore, a portable technique that could supersede or supplement PCR ribotyping should be developed. The current study attempted to use a new multilocus variable-number tandem-repeat analysis (MLVA) panel to detect PCR-ribotype groups. In addition, various MLVA panels using different numbers of variable-number tandem-repeat (VNTR) loci were evaluated for their power to discriminate C. difficile clinical isolates. Results At first, 40 VNTR loci from the C. difficile genome were used to screen for the most suitable MLVA panel. MLVA and PCR ribotyping were implemented to identify 142 C. difficile isolates. Groupings of serial MLVA panels with different allelic diversity were compared with 47 PCR-ribotype groups. A MLVA panel using ten VNTR loci with limited allelic diversity (0.54-0.83), designated MLVA10, generated groups highly congruent (98%) with the PCR-ribotype groups. For comparison of discriminatory power, a MLVA panel using only four highly variable VNTR loci (allelic diversity: 0.94-0.96), designated MLVA4, was found to be the simplest MLVA panel that retained high discriminatory power. The MLVA10 and MLVA4 were combined and used to detect genetically closely related C. difficile strains. Conclusions For the epidemiological investigations of C. difficile, we recommend that MLVA10 be used in coordination with the PCR-ribotype groups to detect epidemic clones, and that the MLVA4 could be used to detect outbreak strains. MLVA10 and MLVA4 could be combined in four multiplex PCR reactions to save time and obtain distinguishable data.
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Affiliation(s)
- Hsiao L Wei
- The Central Region Laboratory, Center for Research and Diagnostics, Centers for Disease Control, Taichung City 40855, Taiwan
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14
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Harrison OB, Brueggemann AB, Caugant DA, van der Ende A, Frosch M, Gray S, Heuberger S, Krizova P, Olcen P, Slack M, Taha MK, Maiden MCJ. Molecular typing methods for outbreak detection and surveillance of invasive disease caused by Neisseria meningitidis, Haemophilus influenzae and Streptococcus pneumoniae, a review. MICROBIOLOGY (READING, ENGLAND) 2011; 157:2181-2195. [PMID: 21622526 PMCID: PMC3980633 DOI: 10.1099/mic.0.050518-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Invasive disease caused by the encapsulated bacteria Neisseria meningitidis, Haemophilus influenzae and Streptococcus pneumoniae remains an important cause of morbidity and mortality worldwide, despite the introduction of successful conjugate polysaccharide vaccines that target disease-associated strains. In addition, resistance, or more accurately reduced susceptibility, to therapeutic antibiotics is spreading in populations of these organisms. There is therefore a continuing requirement for the surveillance of vaccine and non-vaccine antigens and antibiotic susceptibilities among isolates from invasive disease, which is only partially met by conventional methods. This need can be met with molecular and especially nucleotide sequence-based typing methods, which are fully developed in the case of N. meningitidis and which could be more widely deployed in clinical laboratories for S. pneumoniae and H. influenzae.
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Affiliation(s)
- Odile B. Harrison
- Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
| | | | - Dominique A. Caugant
- Department of Bacteriology and Immunology, Norwegian Institute of Public Health, PO Box 4404 Nydalen, NO-0403 Oslo, Norway
| | - Arie van der Ende
- Academic Medical Center, Department of Medical Microbiology, Reference Laboratory for Bacterial Meningitis, PO Box 22660, 1100 DD Amsterdam, The Netherlands
| | - Matthias Frosch
- Institut für Hygiene und Mikrobiologie, Universität Würzburg, Josef-Schneider Strasse 2, 97080 Würzburg, Germany
| | - Stephen Gray
- Meningococcal Reference Unit, Health Protection Agency, PO Box 209, Clinical Sciences Building 2, Manchester Royal Infirmary, Oxford Road, Manchester M13 9WZ, UK
| | - Sigrid Heuberger
- Österreichische Agentur für Gesundheit und Ernährungssicherheit GmbH, Bereich Humanmedizin, Institut für medizinische Mikrobiologie und Hygiene, Beethovenstraße 6, A-8010 Graz, Austria
| | - Paula Krizova
- National Reference Laboratory for Meningococcal Infections, National Institute of Public Health, Srobarova 48, Prague, Czech Republic
| | - Per Olcen
- Department of Laboratory Medicine, Clinical Microbiology and Immunology, Orebro University Hospital, SE-701 85 Orebro, Sweden
| | - Mary Slack
- Respiratory and Systemic Infection Laboratory, Health Protection Agency Centre for Infections, 61 Colindale Avenue, London NW9 5EQ, UK
| | | | - Martin C. J Maiden
- Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
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15
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Coletta-Filho HD, Bittleston LS, Almeida RPP. Spatial genetic structure of a vector-borne generalist pathogen. Appl Environ Microbiol 2011; 77:2596-601. [PMID: 21317251 PMCID: PMC3126377 DOI: 10.1128/aem.02172-10] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2010] [Accepted: 02/05/2011] [Indexed: 11/20/2022] Open
Abstract
Vector-borne generalist pathogens colonize several reservoir species and are usually dependent on polyphagous arthropods for dispersal; however, their spatial genetic structure is generally poorly understood. Using fast-evolving genetic markers (20 simple sequence repeat loci, resulting in a total of 119 alleles), we studied the genetic structure of the vector-borne plant-pathogenic bacterium Xylella fastidiosa in Napa Valley, CA, where it causes Pierce's disease when it is transmitted to grapevines from reservoir plants in adjacent riparian vegetation. Eighty-three different X. fastidiosa multilocus microsatellite genotypes were found in 93 isolates obtained from five vineyards, resulting in an index of clonal fraction closer to 0 and a Simpson's genotypic diversity index (D) closer to a maximum value of 1. Moderate values of Nei's gene diversity (H(Nei); average H(Nei) = 0.41) were observed for most of the X. fastidiosa populations. The low Wright's index of genetic diversity among populations calculated by the FSTAT software (Wright's F(ST) index) among population pairs (0.0096 to 0.1080) indicated a weak or absent genetic structure among the five populations; a panmictic population was inferred by Bayesian analyses (with the STRUCTURE and BAPS programs). Furthermore, a Mantel test showed no significant genetic isolation by distance when both Nei (r = -0.3459, P = 0.268) and linearized (r = -0.3106, P = 0.269) indices were used. These results suggest that the riparian vegetation from which vectors acquire the pathogen prior to inoculation of grapevines supports a diverse population of X. fastidiosa.
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Affiliation(s)
- Helvécio D. Coletta-Filho
- IAC-Centro APTA Citros Sylvio Moreira, Cordeiropolis, Sao Paulo, Brazil
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California
| | - Leonora S. Bittleston
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California
| | - Rodrigo P. P. Almeida
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California
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Multiple-locus variable-number tandem repeat analysis of Neisseria gonorrhoeae. J Clin Microbiol 2010; 49:354-63. [PMID: 21084524 DOI: 10.1128/jcm.01059-10] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The prevalence of Neisseria gonorrhoeae in the Netherlands has increased in recent years. A multiple-locus variable-number tandem repeat analysis (MLVA) was developed to assess the molecular epidemiology of N. gonorrhoeae and to elucidate transmission networks in high-risk groups in Amsterdam. The MLVA was evaluated using 5 variable-number tandem repeat (VNTR) loci with various degrees of polymorphism that were amplified in 2 multiplex PCRs and were then separated and sized on an automated sequencer. The assessed number of repeats was used to create MLVA profiles that consisted of strings of 5 integers. The stability of the VNTR loci was assessed using isolates obtained from multiple anatomical locations from the same patient (n = 118) and from patients and their sexual partners (n = 55). When isolates with a single locus variant were considered to belong to the same MLVA type, 87% of samples from multiple anatomical locations and 88% of samples from sexual partners shared an MLVA type. MLVA was ultimately performed on 880 isolates that were previously genotyped by restriction fragment length polymorphism (RFLP) analysis of the por-opa genes. Hierarchical cluster analysis of the MLVA profiles from 716 patient visits (one anatomical location per visit) classified 430 patient visits into 14 larger clusters (≥10 patient visits). In 7 clusters, 81% to 100% of isolates came from men who have sex with men (MSM); in 5 clusters, 79% to 100% of isolates came from heterosexuals; and 2 clusters contained isolates from fully mixed populations. Clusters also differed in characteristics such as ethnic background and coinfections. MLVA provided accurate identification of genetically related N. gonorrhoeae strains and revealed clusters of MSM and heterosexuals reflecting distinct transmission networks.
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Elias J, Schouls LM, van de Pol I, Keijzers WC, Martin DR, Glennie A, Oster P, Frosch M, Vogel U, van der Ende A. Vaccine preventability of meningococcal clone, Greater Aachen Region, Germany. Emerg Infect Dis 2010; 16:465-72. [PMID: 20202422 PMCID: PMC3322024 DOI: 10.3201/eid1603.091102] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
An emerging serogroup B clone can be prevented by vaccines. Emergence of serogroup B meningococci of clonal complex sequence type (ST) 41/44 can cause high levels of disease, as exemplified by a recent epidemic in New Zealand. Multiplication of annual incidence rates (3.1 cases/100,000 population) of meningococcal disease in a defined German region, the city of Aachen and 3 neighboring countries (Greater Aachen) prompted us to investigate and determine the source and nature of this outbreak. Using molecular typing and geographic mapping, we analyzed 1,143 strains belonging to ST41/44 complex, isolated from persons with invasive meningococcal disease over 6 years (2001–2006) from 2 German federal states (total population 26 million) and the Netherlands. A spatially slowly moving clone with multiple-locus variable-number tandem repeat analysis type 19, ST42, and antigenic profile B:P1.7–2,4:F1–5 was responsible for the outbreak. Bactericidal activity in serum samples from the New Zealand MeNZB vaccination campaign confirmed vaccine preventability. Because this globally distributed epidemic strain spreads slowly, vaccination efforts could possibly eliminate meningococcal disease in this area.
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Molecular epidemiology of meningococci: application of DNA sequence typing. Int J Med Microbiol 2010; 300:415-20. [PMID: 20537945 DOI: 10.1016/j.ijmm.2010.04.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2009] [Revised: 04/08/2010] [Accepted: 04/19/2010] [Indexed: 11/22/2022] Open
Abstract
Neisseria meningitidis is an invasive pathogen contributing significantly to childhood mortality worldwide. The organism is adapted to the human host and transmitted by close contact or droplet aerosols. In comparison to healthy carriage, invasive disease is a rare event. Nevertheless, due to a high case-fatality rate and the fact that meningococcal infection is a communicable disease, molecular typing of meningococci has been driven forward considerably in the past decades. Multilocus and antigen sequence typing data are assembled in large databases accessible via the internet. For epidemiological purposes, representative case ascertainment strategies are necessary if data are to be exploited for trend analysis, geographic visualization, detection of abnormalities such as outbreaks, and prediction of vaccine coverage. In Europe, a consensus for molecular typing has been achieved.
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Wang YW, Watanabe H, Phung DC, Tung SK, Lee YS, Terajima J, Liang SY, Chiou CS. Multilocus variable-number tandem repeat analysis for molecular typing and phylogenetic analysis of Shigella flexneri. BMC Microbiol 2009; 9:278. [PMID: 20042119 PMCID: PMC2806262 DOI: 10.1186/1471-2180-9-278] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2009] [Accepted: 12/31/2009] [Indexed: 11/27/2022] Open
Abstract
Background Shigella flexneri is one of the causative agents of shigellosis, a major cause of childhood mortality in developing countries. Multilocus variable-number tandem repeat (VNTR) analysis (MLVA) is a prominent subtyping method to resolve closely related bacterial isolates for investigation of disease outbreaks and provide information for establishing phylogenetic patterns among isolates. The present study aimed to develop an MLVA method for S. flexneri and the VNTR loci identified were tested on 242 S. flexneri isolates to evaluate their variability in various serotypes. The isolates were also analyzed by pulsed-field gel electrophoresis (PFGE) to compare the discriminatory power and to evaluate the usefulness of MLVA as a tool for phylogenetic analysis of S. flexneri. Results Thirty-six VNTR loci were identified by exploring the repeat sequence loci in genomic sequences of Shigella species and by testing the loci on nine isolates of different subserotypes. The VNTR loci in different serotype groups differed greatly in their variability. The discriminatory power of an MLVA assay based on four most variable VNTR loci was higher, though not significantly, than PFGE for the total isolates, a panel of 2a isolates, which were relatively diverse, and a panel of 4a/Y isolates, which were closely-related. Phylogenetic groupings based on PFGE patterns and MLVA profiles were considerably concordant. The genetic relationships among the isolates were correlated with serotypes. The phylogenetic trees constructed using PFGE patterns and MLVA profiles presented two distinct clusters for the isolates of serotype 3 and one distinct cluster for each of the serotype groups, 1a/1b/NT, 2a/2b/X/NT, 4a/Y, and 6. Isolates that had different serotypes but had closer genetic relatedness than those with the same serotype were observed between serotype Y and subserotype 4a, serotype X and subserotype 2b, subserotype 1a and 1b, and subserotype 3a and 3b. Conclusions The 36 VNTR loci identified exhibited considerably different degrees of variability among S. flexneri serotype groups. VNTR locus could be highly variable in a serotype but invariable in others. MLVA assay based on four highly variable loci could display a comparable resolving power to PFGE in discriminating isolates. MLVA is also a prominent molecular tool for phylogenetic analysis of S. flexneri; the resulting data are beneficial to establish clear clonal patterns among different serotype groups and to discern clonal groups among isolates within the same serotype. As highly variable VNTR loci could be serotype-specific, a common MLVA protocol that consists of only a small set of loci, for example four to eight loci, and that provides high resolving power to all S. flexneri serotypes may not be obtainable.
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Affiliation(s)
- You-Wun Wang
- The Central Region Laboratory, Center for Research and Diagnostics, Centers for Disease Control, Taichung, Taiwan.
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Molecular aspects of Moraxella catarrhalis pathogenesis. Microbiol Mol Biol Rev 2009; 73:389-406, Table of Contents. [PMID: 19721084 DOI: 10.1128/mmbr.00007-09] [Citation(s) in RCA: 73] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
In recent years, Moraxella catarrhalis has established its position as an important human mucosal pathogen, no longer being regarded as just a commensal bacterium. Further, current research in the field has led to a better understanding of the molecular mechanisms involved in M. catarrhalis pathogenesis, including mechanisms associated with cellular adherence, target cell invasion, modulation of the host's immune response, and metabolism. Additionally, in order to be successful in the host, M. catarrhalis has to be able to interact and compete with the commensal flora and overcome stressful environmental conditions, such as nutrient limitation. In this review, we provide a timely overview of the current understanding of the molecular mechanisms associated with M. catarrhalis virulence and pathogenesis.
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[Phenotypic and genotypic (randomly amplified polymorphic DNA analysis and multiple-locus variable-number tandem-repeat analysis) charaterization of 96 clinical isolates of Pseudomonas aeruginosa in the F. Bourguiba hospital (Monastir, Tunisia)]. ACTA ACUST UNITED AC 2009; 58:84-8. [PMID: 19892484 DOI: 10.1016/j.patbio.2009.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2009] [Accepted: 06/26/2009] [Indexed: 10/20/2022]
Abstract
AIM OF THE STUDY Phenotypic and genotypic characterization of 96 clinical isolates of Pseudomonas aeruginosa recovered in a Tunisian teaching hospital during a 16-month period. MATERIALS AND METHODS All the isolates were characterized by serotyping, antimicrobial susceptibility typing and genotyping with randomly amplified polymorphic DNA (RAPD) analysis and multiple-locus variable-number tandem-repeat analysis (MLVA). RESULTS Forty-one isolates out of 96 (43%) were recovered from two intensive care units (medical and chirurgical). Most of the isolates (48%) belonged to serotype O:11. Among the 13 antibiotypes, three multidrug resistant ones were mostly observed within the two intensive care units. Genotyping showed 83 RAPD types and 52 MLVA types. Isolates showing the same serotype could show different genotypes. A limited number of clusters was highlighted with MLVA typing, of which an outbreak of nine cases within the surgical intensive care unit. CONCLUSION Except this outbreak of nine cases, the heterogeneity observed for most of the P. aeruginosa isolates showed that outbreak situations were rare in the F. Bourguiba hospital during the study period. MLVA genotyping is a good tool for genotyping P. aeruginosa clinical isolates.
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Olcén P, Fredlund H. Isolation and characterization of Neisseria meningitidis in the vaccine era. Who needs what and when? ACTA ACUST UNITED AC 2009; 42:4-11. [DOI: 10.3109/00365540903311177] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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23
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Vogel U, Elias J, Claus H, Frosch M. Labordiagnostik vonNeisseria meningitidisaus der Sicht des Nationalen Referenzzentrums für Meningokokken / Laboratory diagnosis ofNeisseria meningitidisfrom the viewpoint of the German Reference Laboratory. ACTA ACUST UNITED AC 2009. [DOI: 10.1515/jlm.2009.050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Currie BJ, Haslem A, Pearson T, Hornstra H, Leadem B, Mayo M, Gal D, Ward L, Godoy D, Spratt BG, Keim P. Identification of melioidosis outbreak by multilocus variable number tandem repeat analysis. Emerg Infect Dis 2009; 15:169-74. [PMID: 19193259 PMCID: PMC2657638 DOI: 10.3201/eid1502.081036] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
One-sentence summary for table of contents: This analysis can identify a clonal outbreak of this disease within 8 hours of receipt of bacterial isolates. Endemic melioidosis is caused by genetically diverse Burkholderia pseudomallei strains. However, clonal outbreaks (multiple cases caused by 1 strain) have occurred, such as from contaminated potable water. B. pseudomallei is designated a group B bioterrorism agent, which necessitates rapidly recognizing point-source outbreaks. Pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST) can identify genetically related isolates, but results take several days to obtain. We developed a simplified 4-locus multilocus variable number tandem repeat analysis (MLVA-4) for rapid typing and compared results with PFGE and MLST for a large number of well-characterized B. pseudomallei isolates. MLVA-4 compared favorably with MLST and PFGE for the same isolates; it discriminated between 65 multilocus sequence types and showed relatedness between epidemiologically linked isolates from outbreak clusters and between isolates from individual patients. MLVA-4 can establish or refute that a clonal outbreak of melioidosis has occurred within 8 hours of receipt of bacterial strains.
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Affiliation(s)
- Bart J Currie
- Menzies School of Health Research, Darwin, Northern Territory, Australia.
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Caugant DA, Maiden MCJ. Meningococcal carriage and disease--population biology and evolution. Vaccine 2009; 27 Suppl 2:B64-70. [PMID: 19464092 PMCID: PMC2719693 DOI: 10.1016/j.vaccine.2009.04.061] [Citation(s) in RCA: 264] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Meningococcal disease occurs worldwide with incidence rates varying from 1 to 1000 cases per 100,000. The causative organism, Neisseria meningitidis, is an obligate commensal of humans, which normally colonizes the mucosa of the upper respiratory tract without causing invasive disease, a phenomenon known as carriage. Studies using molecular methods have demonstrated the extensive genetic diversity of meningocococci isolated from carriers, in contrast to a limited number of genetic types, known as the hyperinvasive lineages, associated with invasive disease. Population and evolutionary models that invoke positive selection can be used to resolve the apparent paradox of virulent lineages persisting during the global spread of a non-clonal and normally commensal bacterium. The application of insights gained from studies of meningococcal population biology and evolution is important in understanding the spread of disease, as well as in vaccine development and implementation, especially with regard to the challenge of producing comprehensive vaccines based on sub-capsular antigens and measuring their effectiveness.
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Affiliation(s)
- Dominique A Caugant
- WHO Collaborating Centre for Reference and Research on Meningococci, Norwegian Institute of Public Health, Oslo, Norway.
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Multiple-locus variable-number tandem-repeat analysis for clonal identification of Vibrio parahaemolyticus isolates by using capillary electrophoresis. Appl Environ Microbiol 2009; 75:4079-88. [PMID: 19376898 DOI: 10.1128/aem.02729-08] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Epidemics of Vibrio parahaemolyticus in Chile have occurred since 1998. Direct genome restriction enzyme analysis (DGREA) using conventional gel electrophoresis permitted discrimination of different V. parahaemolyticus isolates obtained from these outbreaks and showed that this species consists of a highly diverse population. A multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA) approach was developed and applied to 22 clinical and 91 environmental V. parahaemolyticus isolates from Chile to understand their clonal structures. To this end, an advanced molecular technique was developed by applying multiplex PCR, fluorescent primers, and capillary electrophoresis, resulting in a high-resolution and high-throughput (HRHT) genotyping method. The genomic basis of this HRHT method was eight VNTR loci described previously by Kimura et al. (J. Microbiol. Methods 72:313-320, 2008) and two new loci which were identified by a detailed molecular study of 24 potential VNTR loci on both chromosomes. The isolates of V. parahaemolyticus belonging to the same DGREA pattern were distinguishable by the size variations in the indicative 10 VNTRs. This assay showed that these 10 VNTR loci were useful for distinguishing isolates of V. parahaemolyticus that had different DGREA patterns and also isolates that belong to the same group. Isolates that differed in their DGREA patterns showed polymorphism in their VNTR profiles. A total of 81 isolates was associated with 59 MLVA groups, providing fine-scale differentiation, even among very closely related isolates. The developed approach enables rapid and high-resolution analysis of V. parahaemolyticus with pandemic potential and provides a new surveillance tool for food-borne pathogens.
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Multiple-locus variable number tandem repeat analysis of Staphylococcus aureus: comparison with pulsed-field gel electrophoresis and spa-typing. PLoS One 2009; 4:e5082. [PMID: 19343175 PMCID: PMC2661140 DOI: 10.1371/journal.pone.0005082] [Citation(s) in RCA: 118] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2009] [Accepted: 03/03/2009] [Indexed: 11/19/2022] Open
Abstract
Background Molecular typing of methicillin-resistant Staphylococcus aureus (MRSA) is required to study the routes and rates of transmission of this pathogen. Currently available typing techniques are either resource-intensive or have limited discriminatory ability. Multiple-locus variable number tandem repeat analysis (MLVA) may provide an alternative high throughput molecular typing tool with high epidemiological resolution. Methodology/Principal Findings A new MLVA scheme for S. aureus was validated using 1681 S. aureus isolates collected from Dutch patients and 100 isolates from pigs. MLVA using 8 tandem repeat loci was performed in 2 multiplex PCRs and the fluorescently labeled PCR products were accurately sized on an automated DNA sequencer. The assessed number of repeats was used to create MLVA profiles consisting of strings of 8 integers that were used for categorical clustering. MLVA yielded 511 types that clustered into 11 distinct MLVA complexes which appeared to coincide with MLST clonal complexes. MLVA was at least as discriminatory as PFGE and twice as discriminatory as spa-sequence typing. There was considerable congruence between MLVA, spa-sequence typing and PFGE, at the MLVA complex level with group separation values of 95.1% and 89.2%. MLVA could not discriminate between pig-related MRSA strains isolated from humans and pigs, corroborating the high degree of relationship. MLVA was also superior in the grouping of MRSA isolates previously assigned to temporal-spatial clusters with indistinguishable SpaTypes, demonstrating its enhanced epidemiological usefulness. Conclusions The MLVA described in this study is a high throughput, relatively low cost genotyping method for S. aureus that yields discrete and unambiguous data that can be used to assign biological meaningful genotypes and complexes and can be used for interlaboratory comparisons in network accessible databases. Results suggest that MLVA offsets the disadvantages of other high discriminatory typing approaches and represents a promising tool for hospital, national and international molecular epidemiology.
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Utility of multilocus variable-number tandem-repeat analysis as a molecular tool for phylogenetic analysis of Shigella sonnei. J Clin Microbiol 2009; 47:1149-54. [PMID: 19225095 DOI: 10.1128/jcm.01607-08] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A panel of 916 isolates, including 703 closely related IST1 isolates, were characterized by inter-IS1 spacer typing (IST), pulsed-field gel electrophoresis (PFGE), and multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) to evaluate the utility of MLVA as a molecular tool for the phylogenetic analysis of Shigella sonnei. The global phylogenetic patterns determined by IST, PFGE, and MLVA were concordant. MLVA was carried out using 26 VNTR loci with a range of degrees of variability. MLVA data for the 703 IST1 isolates revealed that diversification among the closely related isolates was attributed mainly to four highly variable loci. The phylogenetic pattern for the closely related isolates determined using MLVA profiles of 8 highly variable loci was in agreement with that determined using the 26-locus profiles. A clustering analysis using the profiles of 18 loci with limited variability established clear phylogenetic relationships among IST clonal groups. Accordingly, MLVA is a useful tool for the phylogenetic analysis of S. sonnei. Combined VNTR loci with higher variability are useful markers for resolving closely related isolates, whereas combined loci with lower variability are suitable for establishing clear phylogenetic relationships between strains or clones that have evolved over a longer timescale.
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Abstract
Genotyping of bacteria through typing of loci containing a variable number of tandem repeats (VNTR) might become the gold standard for many pathogens. The development of genome sequencing has shown that such sequences were present in every species analyzed, and that polymorphism exists in at least a fraction of them. The length of these repetitions can vary from a single nucleotide to a few hundreds. This has implications for both the techniques used to measure the repeat number and the level of variability. In addition, tandem repeats can be part of coding regions or be intergenic and may play a direct role in the adaptation to the environment, thus having different observed evolution rates. For these reasons the choice of VNTR when setting a multiple-loci VNTR analysis (MLVA) assay is important. Although reasonable discrimination can be achieved with the typing of six to eight markers, in particular in species with high genomic diversity, it may be necessary to type 20 to 40 markers in monomorphic species or if an evolutionary meaningful assay is needed. Homoplasy (in the present context, two alleles containing the same repeat copy number in spite of a different history) is then compensated by the analysis of multiple markers. Finally, even if the underlying principles are relatively simple, quality standards must be implemented before this approach is widely accepted, and technology issues must be resolved to further lower the typing costs.
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Affiliation(s)
- Gilles Vergnaud
- DGA/D4S -Mission pour la Recherche et l'Innovation Scientifique (MRIS), Armées, and Department of Genetics and Microbiology, University of Paris XI, Orsay, France
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High-throughput typing of Staphylococcus aureus by amplified fragment length polymorphism (AFLP) or multi-locus variable number of tandem repeat analysis (MLVA) reveals consistent strain relatedness. Eur J Clin Microbiol Infect Dis 2008; 28:39-45. [DOI: 10.1007/s10096-008-0585-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2008] [Accepted: 06/16/2008] [Indexed: 10/21/2022]
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Baethgen LF, Weidlich L, Moraes C, Klein C, Nunes LS, Cafrune PI, Lemos AP, Rios SS, Abreu MF, Kmetzsch C, Sperb AF, Riley LW, Rossetti MLR, Zaha A. Epidemiology of meningococcal disease in southern Brazil from 1995 to 2003, and molecular characterization of Neisseria meningitidis using multilocus sequence typing. Trop Med Int Health 2008; 13:31-40. [DOI: 10.1111/j.1365-3156.2007.01970.x] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Liang SY, Watanabe H, Terajima J, Li CC, Liao JC, Tung SK, Chiou CS. Multilocus variable-number tandem-repeat analysis for molecular typing of Shigella sonnei. J Clin Microbiol 2007; 45:3574-80. [PMID: 17881552 PMCID: PMC2168494 DOI: 10.1128/jcm.00675-07] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) method was developed and evaluated for the subtyping of Shigella sonnei isolates. A total of 26 VNTR loci were identified by exploring the repeat sequence loci in the genomic sequences of S. sonnei strains Ss046 and 53G and by testing 536 isolates that had previously been characterized by pulsed-field gel electrophoresis (PFGE). The discriminatory power of MLVA (Simpson's index of diversity [D], 0.9524; 95% confidence interval [CI], 0.9373 to 0.9564) for the 536 isolates was significantly higher than that of PFGE (D, 0.8882; CI, 0.8667 to 0.9097). MLVA typing with the four and eight most variable loci had D values of 0.9468 and 0.9481, respectively, results approaching that of 26 loci. The usefulness of MLVA for outbreak investigation was evaluated using 151 isolates from 10 shigellosis outbreaks and 22 PFGE-indistinguishable isolates collected from nine epidemiologically unrelated events in five different countries. The evaluations indicated that MLVA was a powerful typing tool to distinguish isolates for outbreak investigation and that it exhibited a good discrimination of the 22 PFGE-indistinguishable isolates. Single-locus variants did occur during the outbreak; therefore, S. sonnei isolates with MLVA profiles differing at no more than a single locus should be considered part of the same outbreak. The present study suggests that MLVA has the potential to replace PFGE as a standard method of typing S. sonnei isolates for disease surveillance and outbreak investigation.
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Affiliation(s)
- Shiu-Yun Liang
- Central Region Laboratory, Center of Research and Diagnostics, Centers for Disease Control, Taichung, Taiwan
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Broza YY, Danin-Poleg Y, Lerner L, Broza M, Kashi Y. Vibrio vulnificus typing based on simple sequence repeats: insights into the biotype 3 group. J Clin Microbiol 2007; 45:2951-9. [PMID: 17652479 PMCID: PMC2045284 DOI: 10.1128/jcm.00236-07] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Vibrio vulnificus is an opportunistic, highly invasive human pathogen with worldwide distribution. V. vulnificus strains are commonly divided into three biochemical groups (biotypes), most members of which are pathogenic. Simple sequence repeats (SSR) provide a source of high-level genomic polymorphism used in bacterial typing. Here, we describe the use of variations in mutable SSR loci for accurate and rapid genotyping of V. vulnificus. An in silico screen of the genomes of two V. vulnificus strains revealed thousands of SSR tracts. Twelve SSR with core motifs longer than 5 bp in a panel of 32 characterized and 56 other V. vulnificus isolates, including both clinical and environmental isolates from all three biotypes, were tested for polymorphism. All tested SSR were polymorphic, and diversity indices ranged from 0.17 to 0.90, allowing a high degree of discrimination among isolates (27 of 32 characterized isolates). Genetic analysis of the SSR data resulted in the clear distinction of isolates that belong to the highly virulent biotype 3 group. Despite the clonal nature of this new group, SSR analysis demonstrated high-level discriminatory power within the biotype 3 group, as opposed to other molecular methods that failed to differentiate these isolates. Thus, SSR are suitable for rapid typing and classification of V. vulnificus strains by high-throughput capillary electrophoresis methods. SSR (>/=5 bp) by their nature enable the identification of variations occurring on a small scale and, therefore, may provide new insights into the newly emerged biotype 3 group of V. vulnificus and may be used as an efficient tool in epidemiological studies.
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Affiliation(s)
- Yoav Y Broza
- Department of Biotechnology and Food Engineering, The Technion Haifa, Haifa 32000, Israel
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Gierczyński R, Golubov A, Neubauer H, Pham JN, Rakin A. Development of multiple-locus variable-number tandem-repeat analysis for Yersinia enterocolitica subsp. palearctica and its application to bioserogroup 4/O3 subtyping. J Clin Microbiol 2007; 45:2508-15. [PMID: 17553973 PMCID: PMC1951228 DOI: 10.1128/jcm.02252-06] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Yersinia enterocolitica bioserogroup 4/O3 is the predominant causative agent of yersiniosis in Europe and North America. Multiple-locus variable-number tandem-repeat analysis (MLVA) was developed to improve the resolution power of classical genotyping methods. MLVA based on six loci was able to distinguish 76 genotypes among 91 Y. enterocolitica isolates of worldwide origin and 41 genotypes among 51 nonepidemiologically linked bioserogroup 4/O3 isolates, proving that it has a high resolution power. However, only a slight correlation of the MLVA genotypes and the geographic distribution of the isolates was observed. Although MLVA was also capable of distinguishing strains of Y. enterocolitica subsp. palearctica O9 and O5,27, there was only a minor correlation between the MLVA genotypes and serogroups. MLVA may be a helpful tool for epidemiological investigations of Y. enterocolitica subsp. palearctica outbreaks.
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Affiliation(s)
- Rafał Gierczyński
- Department of Bacteriology, National Institute of Hygiene, Chocimska 24, 00-791 Warsaw, Poland.
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Weng X, Wang Z, Liu J, Kimura M, Black WC, Brennan PJ, Li H, Vissa VD. Identification and distribution of Mycobacterium leprae genotypes in a region of high leprosy prevalence in China: a 3-year molecular epidemiological study. J Clin Microbiol 2007; 45:1728-34. [PMID: 17428944 PMCID: PMC1933063 DOI: 10.1128/jcm.00018-07] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2007] [Revised: 02/05/2007] [Accepted: 03/28/2007] [Indexed: 11/20/2022] Open
Abstract
Multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA) has been proposed as a means of strain typing for tracking the transmission of leprosy. However, empirical data for a defined population are lacking. To this end, a study was initiated to assess the diversity and distribution of prevalent Mycobacterium leprae strains in Qiubei County, Yunnan Province, People's Republic of China, where the annual detection rate of leprosy is 10-fold higher than the national average rate. Sixty-eight newly diagnosed leprosy patients were included in the study. MLVA at eight M. leprae loci was applied using DNA extracts from skin biopsies. The number of alleles per locus ranged from 4 to 24, providing adequate strain discrimination. MLVA strain typing identified several clusters of patients whose M. leprae specimens shared similar VNTR profiles. Two of these clusters were comprised of patients who resided predominantly in the north and northwest parts of Qiubei County. Furthermore, it was found that multicase families are common in this county: 23 of the 68 patients were from 11 families. Intrafamilial VNTR profiles closely matched within six families, although they were different between the families. Moreover, VNTR patterns related to those found in some multicase families were also detected in patients in the same or adjacent townships, indicating the utility of VNTR strain typing to identify and detect short-range transmission events. Social contact through village markets is proposed as a means of transmission.
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Affiliation(s)
- Xiaoman Weng
- Beijing Friendship Hospital-Affiliate of Capital University of Medical Sciences, Beijing Tropical Medicine Research Institute, 95 Yong An Road, Beijing 100050, People's Republic of China
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Vishnoi A, Roy R, Bhattacharya A. Comparative analysis of bacterial genomes: identification of divergent regions in mycobacterial strains using an anchor-based approach. Nucleic Acids Res 2007; 35:3654-67. [PMID: 17488849 PMCID: PMC1931498 DOI: 10.1093/nar/gkm209] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Comparative genomic approaches are useful in identifying molecular differences between organisms. Currently available methods fail to identify small changes in genomes, such as expansion of short repetitive motifs and to analyse divergent sequences. In this report, we describe an anchor-based whole genome comparison (ABWGC) method. ABWGC is based on random sampling of anchor sequences from one genome, followed by analysis of sampled and homologous regions from the target genome. The method was applied to compare two strains of Mycobacterium tuberculosis CDC1551 and H37Rv. ABWGC was able to identify a total of 104 indels including 20 expansion of short repetitive sequences and five recombination events. It included 18 new unidentified genomic differences. ABWGC also identified 188 SNPs including eight new ones. The method was also used to compare M. tuberculosis H37Rv and M. avium genomes. ABWGC was able to correctly pick 1002 additional indels (size >100 nt) between the two organisms in contrast to MUMmer, a popular tool for comparative genomics. ABWGC was able to identify correctly repeat expansion and indels in a set of simulated sequences. The study also revealed important role of small repeat expansion in the evolution of M. tuberculosis strains.
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Affiliation(s)
- Anchal Vishnoi
- Center for Computational Biology and Bioinformatics, School of Information Technology, Indian Statistical Institute, New Delhi 110016, India.
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Werner G, Klare I, Witte W. The current MLVA typing scheme for Enterococcus faecium is less discriminatory than MLST and PFGE for epidemic-virulent, hospital-adapted clonal types. BMC Microbiol 2007; 7:28. [PMID: 17425779 PMCID: PMC1865547 DOI: 10.1186/1471-2180-7-28] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2006] [Accepted: 04/10/2007] [Indexed: 11/21/2022] Open
Abstract
Background MLVA (multiple-locus variable-number tandem repeat analysis) is a reliable typing technique introduced recently to differentiate also isolates of Enterococcus faecium. We used the established VNTR (variable number of tandem repeats) scheme to test its suitability to differentiate 58 E. faecium isolates representing mainly outbreaks and clusters of infections and colonizations among patients from 31 German hospitals. All isolates were vancomycin-resistant (vanA type). Typing results for MLVA are compared with results of macrorestriction analysis in PFGE (pulsed-field gel electrophoresis) and MLST (multi-locus sequence typing). Results All 51 but one hospital isolates from 1996–2006 were assigned to the clonal complex (CC) of epidemic-virulent, hospital-adapted lineages (MLST CC-17; MLVA CC-1) and differed from isolates of sporadic infections and colonizations (n = 7; 1991–1995) and other non-hospital origins (n = 27). Typing of all 58 hospital VRE revealed MLVA as the least discriminatory method (Simpson's diversity index 0.847) when compared to MLST (0.911) and PFGE (0.976). The two most common MLVA types MT-1 (n = 16) and MT-159 (n = 14) combined isolates of several MLST types including also major epidemic, hospital-adapted, clonal types (MT-1: ST-17, ST-18, ST-280, ST-282; MT-159: ST-78, ST-192, ST-203). These data clearly indicate that non-related E. faecium could possess an identical MLVA type being especially critical when MLVA is used to elucidate supposed outbreaks with E. faecium within a single or among different hospitals. Stability of a given MLVA profile MT-12 (ST-117) during an outbreak over a period of five years was also shown. Conclusion MLVA is a suitable method to assign isolates of E. faecium into distinct clonal complexes. To investigate outbreaks the current MLVA typing scheme for E. faecium does not discriminate enough and cannot be recommended as a standard superior to PFGE.
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Affiliation(s)
- Guido Werner
- Robert Koch Institute, Wernigerode Branch, Wernigerode, Germany
| | - Ingo Klare
- Robert Koch Institute, Wernigerode Branch, Wernigerode, Germany
| | - Wolfgang Witte
- Robert Koch Institute, Wernigerode Branch, Wernigerode, Germany
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Abstract
For species with low genetic diversity, typing using the differences in PCR fragment length resulting from variations in numbers of short tandem repeats has been shown to provide a high level of discrimination. This technique has been called multilocus microsatellite typing (MLMT) or multiple-locus variable-number tandem repeat analysis, and studies usually employ genetic or sequence analyzers to size PCR fragments to a high degree of precision. We set out to validate one such system that has been developed for Aspergillus fumigatus (H. A. de Valk, J. F. G. M. Meis, I. M. Curfs, K. Muehlethaler, J. W. Mouton, and C. H. W. Klaassen, J. Clin. Microbiol. 43:4112-4120, 2005). The sizes of the alleles were compared both by sequencing and from two genotyping laboratories, where they used capillary electrophoresis (CE) for sizing. Size differences of up to 6 bases were found between the actual sizes reported by sequencing and the sizes reported by CE. In addition, because the two genotyping laboratories used different machines and running conditions, differences of up to 3 bases were identified between them. As the microsatellite markers used differ by repeat units of 3 or 4 bases, it was not possible to assign PCR fragments to the correct alleles without confirming the sizes of a range of alleles by direct sequencing. Lines of best fit were plotted for each CE machine against actual sizes and will therefore enable unsequenced PCR fragments to be assigned to the correct alleles. This study highlights the care required to ensure that an MLMT system undergoes a suitable correction procedure before data can be merged between different laboratories involved in the typing of individual species.
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Brehony C, Jolley KA, Maiden MCJ. Multilocus sequence typing for global surveillance of meningococcal disease. FEMS Microbiol Rev 2007; 31:15-26. [PMID: 17168997 DOI: 10.1111/j.1574-6976.2006.00056.x] [Citation(s) in RCA: 98] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The global surveillance of bacterial pathogens is particularly important for bacteria with diverse and dynamic populations that cause periodic epidemics or pandemics. The isolate characterization methods employed for surveillance should: (1) generate unambiguous data; (2) be readily implemented in a variety of scenarios and be reproducible among laboratories; (3) be scalable and preferably available in a high throughput format; and (4) be cost effective. Multilocus sequence typing (MLST) was designed to meet these criteria and has been implemented effectively for a wide range of microorganisms. The 'Impact of meningococcal epidemiology and population biology on public health in Europe (EU-MenNet)' project had amongst its objectives: (1) to disseminate meningococcal MLST and sequence-based typing throughout Europe by establishing a centre for training and data generation, and (2) to produce a comprehensive Europe-wide picture of meningococcal disease epidemiology for the first time. Data produced from the project have shown the distribution of a relatively small number of STs, clonal complexes and PorA types that account for a large proportion of the disease-associated isolates in Europe. The project demonstrates how molecular typing can be combined with epidemiological data via the Internet for global disease surveillance.
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Affiliation(s)
- Carina Brehony
- The Peter Medawar Building for Pathogen Research and Department of Zoology, University of Oxford, Oxford, UK
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van Belkum A, Tassios PT, Dijkshoorn L, Haeggman S, Cookson B, Fry NK, Fussing V, Green J, Feil E, Gerner-Smidt P, Brisse S, Struelens M. Guidelines for the validation and application of typing methods for use in bacterial epidemiology. Clin Microbiol Infect 2007; 13 Suppl 3:1-46. [PMID: 17716294 DOI: 10.1111/j.1469-0691.2007.01786.x] [Citation(s) in RCA: 530] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
For bacterial typing to be useful, the development, validation and appropriate application of typing methods must follow unified criteria. Over a decade ago, ESGEM, the ESCMID (Europen Society for Clinical Microbiology and Infectious Diseases) Study Group on Epidemiological Markers, produced guidelines for optimal use and quality assessment of the then most frequently used typing procedures. We present here an update of these guidelines, taking into account the spectacular increase in the number and quality of typing methods made available over the past decade. Newer and older, phenotypic and genotypic methods for typing of all clinically relevant bacterial species are described according to their principles, advantages and disadvantages. Criteria for their evaluation and application and the interpretation of their results are proposed. Finally, the issues of reporting, standardisation, quality assessment and international networks are discussed. It must be emphasised that typing results can never stand alone and need to be interpreted in the context of all available epidemiological, clinical and demographical data relating to the infectious disease under investigation. A strategic effort on the part of all workers in the field is thus mandatory to combat emerging infectious diseases, as is financial support from national and international granting bodies and health authorities.
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Affiliation(s)
- A van Belkum
- Erasmus MC, Department of Medical Microbiology and Infectious Diseases, Rotterdam, The Netherlands.
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Pasqualotto AC, Denning DW, Anderson MJ. A cautionary tale: Lack of consistency in allele sizes between two laboratories for a published multilocus microsatellite typing system. J Clin Microbiol 2006; 45:522-8. [PMID: 17166958 PMCID: PMC1829014 DOI: 10.1128/jcm.02136-06] [Citation(s) in RCA: 70] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
For species with low genetic diversity, typing using the differences in PCR fragment length resulting from variations in numbers of short tandem repeats has been shown to provide a high level of discrimination. This technique has been called multilocus microsatellite typing (MLMT) or multiple-locus variable-number tandem repeat analysis, and studies usually employ genetic or sequence analyzers to size PCR fragments to a high degree of precision. We set out to validate one such system that has been developed for Aspergillus fumigatus (H. A. de Valk, J. F. G. M. Meis, I. M. Curfs, K. Muehlethaler, J. W. Mouton, and C. H. W. Klaassen, J. Clin. Microbiol. 43:4112-4120, 2005). The sizes of the alleles were compared both by sequencing and from two genotyping laboratories, where they used capillary electrophoresis (CE) for sizing. Size differences of up to 6 bases were found between the actual sizes reported by sequencing and the sizes reported by CE. In addition, because the two genotyping laboratories used different machines and running conditions, differences of up to 3 bases were identified between them. As the microsatellite markers used differ by repeat units of 3 or 4 bases, it was not possible to assign PCR fragments to the correct alleles without confirming the sizes of a range of alleles by direct sequencing. Lines of best fit were plotted for each CE machine against actual sizes and will therefore enable unsequenced PCR fragments to be assigned to the correct alleles. This study highlights the care required to ensure that an MLMT system undergoes a suitable correction procedure before data can be merged between different laboratories involved in the typing of individual species.
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