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Palma F, Mangone I, Janowicz A, Moura A, Chiaverini A, Torresi M, Garofolo G, Criscuolo A, Brisse S, Di Pasquale A, Cammà C, Radomski N. In vitro and in silico parameters for precise cgMLST typing of Listeria monocytogenes. BMC Genomics 2022; 23:235. [PMID: 35346021 PMCID: PMC8961897 DOI: 10.1186/s12864-022-08437-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/28/2022] [Indexed: 02/02/2023] Open
Abstract
Background Whole genome sequencing analyzed by core genome multi-locus sequence typing (cgMLST) is widely used in surveillance of the pathogenic bacteria Listeria monocytogenes. Given the heterogeneity of available bioinformatics tools to define cgMLST alleles, our aim was to identify parameters influencing the precision of cgMLST profiles. Methods We used three L. monocytogenes reference genomes from different phylogenetic lineages and assessed the impact of in vitro (i.e. tested genomes, successive platings, replicates of DNA extraction and sequencing) and in silico parameters (i.e. targeted depth of coverage, depth of coverage, breadth of coverage, assembly metrics, cgMLST workflows, cgMLST completeness) on cgMLST precision made of 1748 core loci. Six cgMLST workflows were tested, comprising assembly-based (BIGSdb, INNUENDO, GENPAT, SeqSphere and BioNumerics) and assembly-free (i.e. kmer-based MentaLiST) allele callers. Principal component analyses and generalized linear models were used to identify the most impactful parameters on cgMLST precision. Results The isolate’s genetic background, cgMLST workflows, cgMLST completeness, as well as depth and breadth of coverage were the parameters that impacted most on cgMLST precision (i.e. identical alleles against reference circular genomes). All workflows performed well at ≥40X of depth of coverage, with high loci detection (> 99.54% for all, except for BioNumerics with 97.78%) and showed consistent cluster definitions using the reference cut-off of ≤7 allele differences. Conclusions This highlights that bioinformatics workflows dedicated to cgMLST allele calling are largely robust when paired-end reads are of high quality and when the sequencing depth is ≥40X. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08437-4.
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Singh J, Singh N, Suresh G, Srivastava R, Aggarwal U, Behera D, Munisamy M, Malhotra AG, Singh S. A comparative analysis of molecular genotypes of Mycobacterium tuberculosis isolates from HIV-positive and HIV-negative patients. Front Cell Infect Microbiol 2022; 12:953443. [PMID: 36310875 PMCID: PMC9597297 DOI: 10.3389/fcimb.2022.953443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/30/2022] [Indexed: 02/05/2023] Open
Abstract
SETTING Tuberculosis Research Laboratory, Division of Clinical Microbiology and Molecular Medicine, Department of Laboratory Medicine, All India Institute of Medical Sciences, and the National Institute of Tuberculosis and Respiratory Diseases (NITRD), both situated in New Delhi. OBJECTIVES We aimed to identify the distribution of various genotypes of M. tuberculosis among HIV-positive and HIV-negative patients suspected of having Tuberculosis, seen at the National Institute of Tuberculosis and Respiratory Diseases, New Delhi, which is a tertiary care dedicated TB hospital. PATIENTS AND METHODS Genotyping by Spoligotyping and 24 loci MIRU-VNTR was performed and analyzed using SITVITWEB and MIRU-VNTRplus. Drug susceptibility patterns were also analyzed. RESULTS A total of 503 subjects who were PTB/EPTB suspected were recruited and 287 were culture positive. Among them, 276 had growth of Mycobacterium tuberculosis (MTB) and in 11 patients non-tuberculous mycobacteria (NTM) were grown. The isolation rate of NTM was predominantly from HIV positive [10 of 130 (7.6%)] patients. Of the total isolates of MTB, 156 (56.5%) were from HIV negative patients and 120 (43.5%) were from HIV positive patients. All 276 M. tuberculosis isolates were genotyped and tested for drug susceptibility patterns. The CAS genotype was most predominant [153 (55.4%)], followed by Beijing lineage [44 (15.9%)], East African India [25 (9.1%)] and others [54 (19.6%)]. Beijing genotype was significantly more common in HIV positive patients (22.5%) than in HIV negative patients (10.9%). In MIRU-VNTR analysis, clustering was found to be more frequent in CAS strains irrespective of HIV status. In the HIV positive group, spoligotyping could differentiate various genotypes in 90% of isolates and MIRU-VNTR analysis in 84.2% of isolates. The clustering of various MTB strains was more associated with drug resistance. CONCLUSION The Beijing lineage was predominant in HIV-TB coinfected cases, even though the Central Asian Strain (CAS) was overall more predominant in the region.
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Affiliation(s)
- Jitendra Singh
- Division of Clinical Microbiology and Molecular Medicine, All India Institute of Medical Sciences, New Delhi, India
- Translational Medicine Centre, All India Institute of Medical Sciences, Bhopal, India
| | - Niti Singh
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases (NITRD), New Delhi, India
| | - Gayatri Suresh
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases (NITRD), New Delhi, India
| | - Rahul Srivastava
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases (NITRD), New Delhi, India
| | - Upasna Aggarwal
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases (NITRD), New Delhi, India
| | - Digamber Behera
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases (NITRD), New Delhi, India
- Department of Pulmonary Medicine, PGIMER, Chandigarh, India
| | - Murali Munisamy
- Translational Medicine Centre, All India Institute of Medical Sciences, Bhopal, India
| | | | - Sarman Singh
- Division of Clinical Microbiology and Molecular Medicine, All India Institute of Medical Sciences, New Delhi, India
- Department of Microbiology, All India Institute of Medical Sciences, Bhopal, India
- Medical Science and Engineering Research Centre, Indian Institute of Science Education and Research, Bhopal, India
- *Correspondence: Sarman Singh, ;
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Conceição EC, Salvato RS, Gomes KM, Guimarães AEDS, da Conceição ML, Souza e Guimarães RJDP, Sharma A, Furlaneto IP, Barcellos RB, Bollela VR, Anselmo LMP, Sisco MC, Niero CV, Ferrazoli L, Refrégier G, Lourenço MCDS, Gomes HM, de Brito AC, Catanho M, Duarte RS, Suffys PN, Lima KVB. Molecular epidemiology of Mycobacterium tuberculosis in Brazil before the whole genome sequencing era: a literature review. Mem Inst Oswaldo Cruz 2021; 116:e200517. [PMID: 33729319 PMCID: PMC7976556 DOI: 10.1590/0074-02760200517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/11/2021] [Indexed: 11/22/2022] Open
Abstract
Molecular-typing can help in unraveling epidemiological scenarios and improvement for disease control strategies. A literature review of Mycobacterium tuberculosis transmission in Brazil through genotyping on 56 studies published from 1996-2019 was performed. The clustering rate for mycobacterial interspersed repetitive units - variable tandem repeats (MIRU-VNTR) of 1,613 isolates were: 73%, 33% and 28% based on 12, 15 and 24-loci, respectively; while for RFLP-IS6110 were: 84% among prison population in Rio de Janeiro, 69% among multidrug-resistant isolates in Rio Grande do Sul, and 56.2% in general population in São Paulo. These findings could improve tuberculosis (TB) surveillance and set up a solid basis to build a database of Mycobacterium genomes.
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Affiliation(s)
- Emilyn Costa Conceição
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Programa de Pós-Graduação em Pesquisa Clínica e Doenças Infecciosas,
Rio de Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Laboratório de Bacteriologia e Bioensaios em Micobactérias, Rio de
Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Richard Steiner Salvato
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação
em Biologia Celular e Molecular, Porto Alegre, RS, Brasil
- Secretaria Estadual de Saúde do Rio Grande do Sul, Centro Estadual
de Vigilância em Saúde, Centro de Desenvolvimento Científico e Tecnológico, Porto
Alegre, RS, Brasil
| | - Karen Machado Gomes
- Fundação Oswaldo Cruz-Fiocruz, Escola Nacional de Saúde Pública
Sergio Arouca, Centro de Referência Professor Hélio Fraga, Laboratório de Referência
Nacional para Tuberculose e outras Micobacterioses, Rio de Janeiro, RJ, Brasil
| | - Arthur Emil dos Santos Guimarães
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | - Marília Lima da Conceição
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | | | - Abhinav Sharma
- International Institute of Information Technology, Department of
Data Science, Bangalore, India
| | | | - Regina Bones Barcellos
- Secretaria Estadual de Saúde do Rio Grande do Sul, Centro Estadual
de Vigilância em Saúde, Centro de Desenvolvimento Científico e Tecnológico, Porto
Alegre, RS, Brasil
| | - Valdes Roberto Bollela
- Universidade de São Paulo, Departamento de Clínica Médica da
Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil
| | - Lívia Maria Pala Anselmo
- Universidade de São Paulo, Departamento de Clínica Médica da
Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil
| | - Maria Carolina Sisco
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
- Universidade Federal do Rio de Janeiro, Instituto de Microbiologia
Paulo de Góes, Laboratório de Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Cristina Viana Niero
- Universidade Federal de São Paulo, Departamento de Microbiologia,
Imunologia e Parasitologia, São Paulo, SP, Brasil
| | - Lucilaine Ferrazoli
- Instituto Adolfo Lutz, Centro de Bacteriologia, Núcleo de
Tuberculose e Micobacterioses, São Paulo, SP, Brasil
| | - Guislaine Refrégier
- Universit e Paris-Saclay, Ecologie Systematique Evolution, Centre
National de la Recherche Scientifique, AgroParisTech, Orsay, France
| | - Maria Cristina da Silva Lourenço
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Laboratório de Bacteriologia e Bioensaios em Micobactérias, Rio de
Janeiro, RJ, Brasil
| | - Harrison Magdinier Gomes
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Artemir Coelho de Brito
- Coordenação Geral de Vigilância das Doenças de Transmissão
Respiratória de Condições Crônicas, Brasília, DF, Brasil
| | - Marcos Catanho
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Genética Molecular de Microrganismos, Rio de Janeiro, RJ, Brasil
| | - Rafael Silva Duarte
- Universidade Federal do Rio de Janeiro, Instituto de Microbiologia
Paulo de Góes, Laboratório de Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Philip Noel Suffys
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Karla Valéria Batista Lima
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
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Karmakar M, Trauer JM, Ascher DB, Denholm JT. Hyper transmission of Beijing lineage Mycobacterium tuberculosis: Systematic review and meta-analysis. J Infect 2019; 79:572-581. [PMID: 31585190 DOI: 10.1016/j.jinf.2019.09.016] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 08/30/2019] [Accepted: 09/27/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVES The globally distributed "Beijing" lineage of Mycobacterium tuberculosis has been associated with outbreaks worldwide. Laboratory based studies have suggested that Beijing lineage may have increased fitness; however, it has not been established whether these differences are of epidemiological significance with regards to transmission. Therefore, we undertook a systematic review of epidemiological studies of tuberculosis clustering to compare the transmission dynamics of Beijing lineages versus the non-Beijing lineages. METHODS We systematically searched Embase and MEDLINE before 31st December 2018, for studies which provided information on the transmission dynamics of the different M. tuberculosis lineages. We included articles that conducted population-based cross-sectional or longitudinal molecular epidemiological studies reporting information about extent of transmission of different lineages. The protocol for this systematic review was prospectively registered with PROSPERO (CDR42018088579). RESULTS Of 2855 records identified by the search, 46 were included in the review, containing 42,700 patients from 27 countries. Beijing lineage was the most prevalent and highly clustered strain in 72.4% of the studies and had a higher likelihood of transmission than non-Beijing lineages (OR 1·81 [95% 1·28-2·57], I2 = 94·0%, τ2 = 0·59, p < 0·01). CONCLUSIONS Despite considerable heterogeneity across epidemiological contexts, Beijing lineage appears to be more transmissible than other lineages.
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Affiliation(s)
- Malancha Karmakar
- Victorian Tuberculosis Program, Melbourne Health, 792 Elizabeth Street, Melbourne, Victorian 3000 Australia; Department of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria 3010, Australia; Department of Microbiology and Immunology, at the Doherty Institute of Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia; Structural Biology and Bioinformatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - James M Trauer
- Victorian Tuberculosis Program, Melbourne Health, 792 Elizabeth Street, Melbourne, Victorian 3000 Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - David B Ascher
- Department of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria 3010, Australia; Structural Biology and Bioinformatics, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Department of Biochemistry, University of Cambridge, CB2 1GA, UK
| | - Justin T Denholm
- Victorian Tuberculosis Program, Melbourne Health, 792 Elizabeth Street, Melbourne, Victorian 3000 Australia; Department of Microbiology and Immunology, at the Doherty Institute of Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
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MIRU-VNTR genotyping of Mycobacterium tuberculosis in a population of patients in Cali, Colombia, 2013-2015. BIOMEDICA 2019; 39:71-85. [PMID: 31529850 DOI: 10.7705/biomedica.v39i2.3924] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Indexed: 11/21/2022]
Abstract
Introduction: Tuberculosis continues to be one of the main public health problems in the world. Together with the HIV infection, it is one of the main causes of death due to infections worldwide. In 2016, 6.3 million new cases of the disease were reported.
Objective: To describe the genetic patterns determined by genotyping using variable-number tandem repeats of mycobacterial interspersed repetitive units (MIRU-VNTR) in the study population and compare them with other studies carried out in Cali, Colombia, and the world.
Materials and methods: We genotyped a total of 105 DNA samples extracted from sputum or culture isolates of the Mycobacterium tuberculosis complex, which were obtained from pulmonary tuberculosis diagnosed patients over the period 2013-2015, in Cali. We performed PCR amplification of 24 loci by MIRU-VNTR on the DNA extracted from the samples. The amplicons were visualized in agarose gel electrophoresis (2%) with SYBR Safe™ staining. Then, the alleles were designated by graphical analysis using the GelAnalyzer 2010 software. These results were analyzed using the UPGMA logarithm and compared with the registers from the MIRU-VNTR plus and SITVITWEB databases.
Results: We genotyped 62 of the samples completely and we obtained 58 different MIRU-VNTR profiles. By comparing with the international databases, we determined the following distributions per lineage: LAM, 54.8%; Haarlem,25.8%; S, 14.5%; Beijing, 3.2%, and Cameroon, 1.6%. The MIRU-VNTR patterns corresponded to 17 different MITs; the most frequent were MIT 190 and MIT 110, with 22.6% and 6.5%, respectively.
Conclusions: These results demonstrated previous observations about the predominance of the LAM and Haarlem lineages in the city, and the presence of the MITs found in another city of Colombia.
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O'Toole RF. Development of a New Genome-Wide MLST Scheme for High-Resolution Typing of Diverse Mycobacterium tuberculosis Complex Strains. EBioMedicine 2018; 34:6-7. [PMID: 30087031 PMCID: PMC6116476 DOI: 10.1016/j.ebiom.2018.07.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Accepted: 07/30/2018] [Indexed: 11/23/2022] Open
Abstract
In this issue of EBioMedicine, Kohl and colleagues describe the development of a new core genome MLST scheme (cgMLST) for Mycobacterium tuberculosis complex strains based on a set of 2891 genes. Here, the application of the scheme to a number of tuberculosis surveillance studies is examined.
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Affiliation(s)
- Ronan F O'Toole
- School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Australia; Department of Clinical Microbiology, Trinity College Dublin, Ireland.
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Medeiros TF, Nogueira CL, Prim RI, Scheffer MC, Alves EV, Rovaris DB, Zozio T, Rastogi N, Bazzo ML. Molecular epidemiology of Mycobacterium tuberculosis strains from prison populations in Santa Catarina, Southern Brazil. INFECTION GENETICS AND EVOLUTION 2017; 58:34-39. [PMID: 29248797 DOI: 10.1016/j.meegid.2017.12.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 11/24/2017] [Accepted: 12/13/2017] [Indexed: 11/19/2022]
Abstract
The Tuberculosis (TB) notification rates are 5 to 81 times higher in prisons worldwide when compared to the general population. The state of Santa Catarina (SC) has few epidemiological data regarding TB in prisons. The aim of this study was to evaluate the molecular epidemiology of circulating strains in prisons of SC. The study comprised 95 clinical samples from six prisons. Among the cases included, all subjects were male, predominantly caucasians, and young adults, with low education level. The positive smear in the TB diagnosis comprised 62.0% of cases. About 50% of subjects had some condition associated with TB. The Spoligotyping results showed that the most frequent lineages were LAM (50.7%), T (22.2%) and S (11.6%). The 12-loci MIRU generated 62 different genotypes. The MSTs showed evolutionary relationships between Mycobacterium tuberculosis spoligotypes from SC and evolutionary relationships between the prison isolates and studied parameters. This first study on TB in prison units of SC highlighted the predominance of SIT216/LAM5, and SIT34/S. Interestingly, his profile was found to be different from that observed in a previous study performed with the state's general population. This data shows the need for continued surveillance of episodes of TB occurring among prison inmates in an emerging country like Brazil.
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Affiliation(s)
- Taiane Freitas Medeiros
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil
| | - Christiane Lourenço Nogueira
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil
| | - Rodrigo Ivan Prim
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil.
| | - Mara Cristina Scheffer
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil
| | - Eduardo Venâncio Alves
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil
| | - Darcita Büerger Rovaris
- Laboratório Central do Estado de Santa Catarina (LACEN/SC), Florianópolis, Santa Catarina, Brazil
| | - Thierry Zozio
- WHO Supranational TB Reference Laboratory, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France.
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France.
| | - Maria Luiza Bazzo
- Universidade Federal de Santa Catarina - UFSC, Campus Universitário, s/n., Florianópolis, Santa Catarina, Brazil.
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Conceição EC, Rastogi N, Couvin D, Lopes ML, Furlaneto IP, Gomes HM, Vasconcellos SEG, Suffys PN, Schneider MPC, de Sousa MS, Sola C, de Paula Souza e Guimarães RJ, Duarte RS, Batista Lima KV. Genetic diversity of Mycobacterium tuberculosis from Pará, Brazil, reveals a higher frequency of ancestral strains than previously reported in South America. INFECTION GENETICS AND EVOLUTION 2017; 56:62-72. [DOI: 10.1016/j.meegid.2017.10.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 10/20/2017] [Accepted: 10/23/2017] [Indexed: 01/24/2023]
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Khosravi AD, Shahraki AH, Dezfuli SK, Hashemzadeh M, Goodarzi H, Mohajeri P. Genetic diversity of multidrug-resistant Mycobacterium tuberculosis strains isolated from tuberculosis patients in Iran using MIRU-VNTR technique. Kaohsiung J Med Sci 2017; 33:550-557. [PMID: 29050672 DOI: 10.1016/j.kjms.2017.06.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 06/13/2017] [Accepted: 06/20/2017] [Indexed: 12/15/2022] Open
Abstract
Tuberculosis (TB) is considered as one of the most important infectious diseases in the world, and recent rise and spread of multidrug-resistant (MDR) Mycobacterium tuberculosis (MTB) strains, have made the matter worsened. Due to the importance of TB prevalence in Iran, this study was designed to investigate the genetic diversity among MDR strains of MTB by MIRU-VNTR typing scheme. A total of 88 drug resistant M. tuberculosis isolates belong to pulmonary TB cases were collected from several TB reference centers of Iran. Drug susceptibility testing for Isoniazid and Rifampin was performed using the agar proportion method and MDR isolates were underwent genotyping by using 12-locus- based MIRU-VNTR typing. On performing proportion method, 22 isolates were identified as MDR. By typing of MDR isolates using 12-loci MIRU-VNTR technique, high diversity were demonstrated in MDR strains and these were classified into 20 distinct MIRU-VNTR genotypes. MIRU loci 10 and 26 were the most discriminatory loci with 8 and 7 alleles respectively; while MIRU loci 2, 20, 24 and 39 were found to be the least discriminatory with 1-2 alleles each. We noticed a mixed infection in isolate 53, as this isolate comprised simultaneous two alleles in MIRU loci 40, 10, 16 and 39. In conclusion, this result represents MIRU-VNTR typing as a useful tool for studying genetic diversity of MDR-MTB in regional settings, and will help the health sectors to construct a preventive program for MDR-TB. Additionally, it can detect mixed infection which can facilitate management of treatment.
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Affiliation(s)
- Azar Dokht Khosravi
- Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Soolmaz Khandan Dezfuli
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Mohammad Hashemzadeh
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hamed Goodarzi
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Parviz Mohajeri
- Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
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