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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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Byrne AS, Goudreau A, Bissonnette N, Shamputa IC, Tahlan K. Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review. Front Genet 2020; 11:600692. [PMID: 33408740 PMCID: PMC7779811 DOI: 10.3389/fgene.2020.600692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/19/2020] [Indexed: 12/22/2022] Open
Abstract
Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with multiple strains of a single pathogenic species. Known to occur in humans and animals, MSIs deserve special consideration when studying transmission dynamics, evolution, and treatment of mycobacterial diseases, notably tuberculosis in humans and paratuberculosis (or Johne's disease) in ruminants. Therefore, a systematic review was conducted to examine how MSIs are defined in the literature, how widespread the phenomenon is across the host species spectrum, and to document common methods used to detect such infections. Our search strategy identified 121 articles reporting MSIs in both humans and animals, the majority (78.5%) of which involved members of the Mycobacterium tuberculosis complex, while only a few (21.5%) examined non-tuberculous mycobacteria (NTM). In addition, MSIs exist across various host species, but most reports focused on humans due to the extensive amount of work done on tuberculosis. We reviewed the strain typing methods that allowed for MSI detection and found a few that were commonly employed but were associated with specific challenges. Our review notes the need for standardization, as some highly discriminatory methods are not adapted to distinguish between microevolution of one strain and concurrent infection with multiple strains. Further research is also warranted to examine the prevalence of NTM MSIs in both humans and animals. In addition, it is envisioned that the accurate identification and a better understanding of the distribution of MSIs in the future will lead to important information on the epidemiology and pathophysiology of mycobacterial diseases.
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Affiliation(s)
| | - Alex Goudreau
- Science & Health Sciences Librarian, University of New Brunswick, Saint John, NB, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Center, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada
| | - Isdore Chola Shamputa
- Department of Nursing & Health Sciences, University of New Brunswick, Saint John, NB, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada
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The Evolution of Genotyping Strategies To Detect, Analyze, and Control Transmission of Tuberculosis. Microbiol Spectr 2019; 6. [PMID: 30338753 DOI: 10.1128/microbiolspec.mtbp-0002-2016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The introduction of genotypic tools to analyze Mycobacterium tuberculosis isolates has transformed our knowledge of the transmission dynamics of this pathogen. We discuss the development of the laboratory methods that have been applied in recent years to study the epidemiology of M. tuberculosis. This review integrates two approaches: on the one hand, it considers how genotyping techniques have evolved over the years; and on the other, it looks at how the way we think these techniques should be applied has changed. We begin by examining the application of fingerprinting tools to suspected outbreaks only, before moving on to universal genotyping schemes, and finally we describe the latest real-time strategies used in molecular epidemiology. We also analyze refined approaches to obtaining epidemiological data from patients and to increasing the discriminatory power of genotyping by techniques based on genomic characterization. Finally, we review the development of integrative solutions to reconcile the speed of PCR-based methods with the high discriminatory power of whole-genome sequencing in easily implemented formats adapted to low-resource settings. Our analysis of future considerations highlights the need to bring together the three key elements of high-quality surveillance of transmission in tuberculosis, namely, speed, precision, and ease of implementation.
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Kontsevaya I, Nikolayevskyy V, Kovalyov A, Ignatyeva O, Sadykhova A, Simak T, Tikhonova O, Dubrovskaya Y, Vasiliauskiene E, Davidaviciene E, Skenders G, Makurina O, Balabanova Y, Drobniewski F. Tuberculosis cases caused by heterogeneous infection in Eastern Europe and their influence on outcomes. INFECTION GENETICS AND EVOLUTION 2016; 48:76-82. [PMID: 27998730 DOI: 10.1016/j.meegid.2016.12.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 12/14/2016] [Accepted: 12/16/2016] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Mycobacterium tuberculosis superinfection is known to occur in areas with high rates of tuberculosis (TB) and has a significant impact on overall clinical TB management. AIM We aimed to estimate the superinfection rate in cohorts of drug sensitive and multi-drug resistant tuberculosis (MDR TB) patients from Eastern Europe and the potential role of a second MDR TB strain infecting a patient with active non-MDR TB in treatment outcome. METHODS The study population included 512 serial M. tuberculosis isolates obtained from 84 MDR- and 136 non-MDR TB patients recruited sequentially at sites in Lithuania, Latvia and Russia in 2011-2013. Strains were genotyped using standardized 24-loci Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing. RESULTS Changes in two or more MIRU-VNTR loci suggesting superinfection were detected in 13 patients (5.9%). We found 4 initially non-MDR TB patients superinfected with an MDR TB strain during treatment and 3 of them had an unsuccessful outcome. CONCLUSIONS An unsuccessful treatment outcome in patients initially diagnosed with drug sensitive TB might be explained by superinfection with an MDR TB strain. Bacteriological reversion could be indicative of superinfection with another strain. Archiving of all serial isolates and their genotyping in case of culture reversion could support therapeutic strategies in high MDR TB burden settings if resources are available.
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Affiliation(s)
- Irina Kontsevaya
- Imperial College London, Du Cane Road, London W12 0NN, UK; N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Vladyslav Nikolayevskyy
- Imperial College London, Du Cane Road, London W12 0NN, UK; Public Health England National Mycobacterium Reference Laboratory, 2 Newark Street, London E1 2AT, UK; Queen Mary, University of London, Mile End Road, London E1 4NS, UK.
| | - Alexander Kovalyov
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Olga Ignatyeva
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Anna Sadykhova
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Tatiana Simak
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Olesya Tikhonova
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Yulia Dubrovskaya
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Edita Vasiliauskiene
- Infectious Disease and TB Hospital, P. Sirvio str. 5, 10214 Vilnius, Lithuania; Vilnius University, Department of Physiology, Biochemistry and Laboratory Medicine, Faculty of Medicine, M. K. Ciurlionio str. 21, 03101 Vilnius, Lithuania.
| | - Edita Davidaviciene
- Infectious Disease and TB Hospital, P. Sirvio str. 5, 10214 Vilnius, Lithuania.
| | - Girts Skenders
- Tuberculosis and Lung Diseases Centre, Riga East University Hospital, 68 Lielvardes Street, LV-1006 Riga, Latvia.
| | - Olga Makurina
- Samara National Research University, 1 Akademika Pavlova Street, Samara 443011, Russian Federation.
| | - Yanina Balabanova
- Imperial College London, Du Cane Road, London W12 0NN, UK; Robert Koch Institute, Postfach 65 02 61, Berlin D-13302, Germany.
| | - Francis Drobniewski
- Imperial College London, Du Cane Road, London W12 0NN, UK; Queen Mary, University of London, Mile End Road, London E1 4NS, UK.
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Ssengooba W, de Jong BC, Joloba ML, Cobelens FG, Meehan CJ. Whole genome sequencing reveals mycobacterial microevolution among concurrent isolates from sputum and blood in HIV infected TB patients. BMC Infect Dis 2016; 16:371. [PMID: 27495002 PMCID: PMC4974755 DOI: 10.1186/s12879-016-1737-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 07/28/2016] [Indexed: 03/14/2023] Open
Abstract
Background In the context of advanced immunosuppression, M. tuberculosis is known to cause detectable mycobacteremia. However, little is known about the intra-patient mycobacterial microevolution and the direction of seeding between the sputum and blood compartments. Methods From a diagnostic study of HIV-infected TB patients, 51 pairs of concurrent blood and sputum M. tuberculosis isolates from the same patient were available. In a previous analysis, we identified a subset with genotypic concordance, based on spoligotyping and 24 locus MIRU-VNTR. These paired isolates with identical genotypes were analyzed by whole genome sequencing and phylogenetic analysis. Results Of the 25 concordant pairs (49 % of the 51 paired isolates), 15 (60 %) remained viable for extraction of high quality DNA for whole genome sequencing. Two patient pairs were excluded due to poor quality sequence reads. The median CD4 cell count was 32 (IQR; 16–101)/mm3 and ten (77 %) patients were on ART. No drug resistance mutations were identified in any of the sequences analyzed. Three (23.1 %) of 13 patients had SNPs separating paired isolates from blood and sputum compartments, indicating evidence of microevolution. Using a phylogenetic approach to identify the ancestral compartment, in two (15 %) patients the blood isolate was ancestral to the sputum isolate, in one (8 %) it was the opposite, and ten (77 %) of the pairs were identical. Conclusions Among HIV-infected patients with poor cellular immunity, infection with multiple strains of M. tuberculosis was found in half of the patients. In those patients with identical strains, whole genome sequencing indicated that M. tuberculosis intra-patient microevolution does occur in a few patients, yet did not reveal a consistent direction of spread between sputum and blood. This suggests that these compartments are highly connected and potentially seed each other repeatedly. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1737-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Willy Ssengooba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda. .,Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium. .,Department of Global Health and Amsterdam, Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
| | - Bouke C de Jong
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium.,Division of Infectious Diseases, New York University, New York, NY, USA
| | - Moses L Joloba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda
| | - Frank G Cobelens
- Department of Global Health and Amsterdam, Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.,KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Conor J Meehan
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
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Ssengooba W, Cobelens FG, Nakiyingi L, Mboowa G, Armstrong DT, Manabe YC, Joloba ML, de Jong BC. High Genotypic Discordance of Concurrent Mycobacterium tuberculosis Isolates from Sputum and Blood of HIV-Infected Individuals. PLoS One 2015; 10:e0132581. [PMID: 26176604 PMCID: PMC4503667 DOI: 10.1371/journal.pone.0132581] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 06/16/2015] [Indexed: 11/19/2022] Open
Abstract
Background Among HIV-infected individuals with CD4 less than 200 cells/mm3, tuberculosis often has an atypical presentation, is more likely to be disseminated and is diagnostically challenging. We sought to understand the genotypic discordance of concurrent sputum and blood M. tuberculosis (MTB) isolates from HIV-infected individuals. Methods From a prospective diagnostic accuracy study with 182 HIV-infected culture-positive TB adults, isolates were obtained from 51 of 66 participants who were MTB culture-positive by both sputum and blood. Isolates were subjected to susceptibility testing to 1st line drugs, spoligotyping and 24 locus- MIRU-VNTR. Results The median age of the participants was 31 (IQR; 27–38) years and 51% were male. The median CD4 count was 29 (IQR; 10–84) cells/mm3 with 20% taking ART; 8.0% were previously treated for TB, and 63% were AFB smear-negative. The isolates belonged to two of the main global MTB-lineages; East-African-Indian (L3) 17 (16.7%) and Euro-American (L4) 85 (83.3%). We identified 26 (51.0%) participants with discordant MTB-genotypes between sputum and blood, including two patients with evidence of mixed infection in either compartment. Having discordant MTB-genotypes was not predicted by the MTB-lineage in either blood or sputum, CD4 cell count, or any other clinical characteristic. Conclusions There is a high genotypic discordance among M. tuberculosis concurrently isolated from sputum and blood of HIV-infected individuals. These findings suggest that infection with more than one strain of M. tuberculosis occurs in at least half of patients with advanced HIV infection.
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Affiliation(s)
- Willy Ssengooba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda
- Department of Global Health and Amsterdam Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
- Unit of Mycobacteriology Institute of Tropical Medicine, Antwerp, Belgium
| | - Frank G. Cobelens
- Department of Global Health and Amsterdam Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
- KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Lydia Nakiyingi
- Infectious Diseases Institute, College of Health Sciences Makerere University, Kampala, Uganda
| | - Gerald Mboowa
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda
| | - Derek T. Armstrong
- Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Yukari C. Manabe
- Infectious Diseases Institute, College of Health Sciences Makerere University, Kampala, Uganda
- Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Moses L. Joloba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda
- Infectious Diseases Institute, College of Health Sciences Makerere University, Kampala, Uganda
| | - Bouke C. de Jong
- Unit of Mycobacteriology Institute of Tropical Medicine, Antwerp, Belgium
- Division of Infectious Diseases, New York University, New York, NY, United States of America
- * E-mail:
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Pérez-Lago L, Comas I, Navarro Y, González-Candelas F, Herranz M, Bouza E, García-de-Viedma D. Whole genome sequencing analysis of intrapatient microevolution in Mycobacterium tuberculosis: potential impact on the inference of tuberculosis transmission. J Infect Dis 2013; 209:98-108. [PMID: 23945373 DOI: 10.1093/infdis/jit439] [Citation(s) in RCA: 106] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND It has been accepted that the infection by Mycobacterium tuberculosis (M. tuberculosis) can be more heterogeneous than considered. The emergence of clonal variants caused by microevolution events leading to population heterogeneity is a phenomenon largely unexplored. Until now, we could only superficially analyze this phenomenon by standard fingerprinting (RFLP and VNTR). METHODS In this study we applied whole genome sequencing for a more in-depth analysis of the scale of microevolution both at the intrapatient and interpatient scenarios. RESULTS We found that the amount of variation accumulated within a patient can be as high as that observed between patients along a chain of transmission. Intrapatient diversity was found both at the extrapulmonary and respiratory sites, meaning that this variability can be transmitted and impact on the inference of transmission events. One of the events studied allowed us to track for a single strain the complete process of (i) interpatient microevolution, (ii) intrapatient respiratory variation, and (iii) isolation of different variants at different infected sites of this patient. CONCLUSIONS Our study adds new data to the understanding of variability in M. tuberculosis in a wide clinical scenario and alerts about the difficulties of establishing thresholds to differentiate relatedness in M. tuberculosis with epidemiological purposes.
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Affiliation(s)
- Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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Pérez-Lago L, Navarro Y, Herranz M, Bouza E, García-de-Viedma D. Genetic features shared by Mycobacterium tuberculosis strains involved in microevolution events. INFECTION GENETICS AND EVOLUTION 2013; 16:326-9. [PMID: 23499710 DOI: 10.1016/j.meegid.2013.02.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2012] [Revised: 02/18/2013] [Accepted: 02/25/2013] [Indexed: 10/27/2022]
Abstract
Microevolved Mycobacterium tuberculosis (MTB) clonal variants from a parental strain can emerge within a single patient infection and during transmission events. Genotypic rearrangements may involve functional changes conferring advantages to favor strain adaptation to the host. In the present study, we analyzed in depth some genotypic characteristics of a strain with a high tendency to microevolve that generated 6 clonal variants during transmission of sequential hosts. In order to identify genetic features potentially associated to microevolution in MTB, we analyzed 56 3R genes and the IS6110 insertion sites from this strain and identified an SNP in alkA and an IS6110 copy located upstream of a transposase (Rv0755A). These markers could be involved in mechanisms leading to genotypic variation. Both features were shared by strains from our collection that were also involved in microevolution, suggesting their putative association with these events.
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Affiliation(s)
- Laura Pérez-Lago
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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Systematic survey of clonal complexity in tuberculosis at a populational level and detailed characterization of the isolates involved. J Clin Microbiol 2011; 49:4131-7. [PMID: 21956991 DOI: 10.1128/jcm.05203-11] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Clonally complex infections by Mycobacterium tuberculosis are progressively more accepted. Studies of their dimension in epidemiological scenarios where the infective pressure is not high are scarce. Our study systematically searched for clonally complex infections (mixed infections by more than one strain and simultaneous presence of clonal variants) by applying mycobacterial interspersed repetitive-unit (MIRU)-variable-number tandem-repeat (VNTR) analysis to M. tuberculosis isolates from two population-based samples of respiratory (703 cases) and respiratory-extrapulmonary (R+E) tuberculosis (TB) cases (71 cases) in a context of moderate TB incidence. Clonally complex infections were found in 11 (1.6%) of the respiratory TB cases and in 10 (14.1%) of those with R+E TB. Among the 21 cases with clonally complex TB, 9 were infected by 2 independent strains and the remaining 12 showed the simultaneous presence of 2 to 3 clonal variants. For the 10 R+E TB cases with clonally complex infections, compartmentalization (different compositions of strains/clonal variants in independent infected sites) was found in 9 of them. All the strains/clonal variants were also genotyped by IS6110-based restriction fragment length polymorphism analysis, which split two MIRU-defined clonal variants, although in general, it showed a lower discriminatory power to identify the clonal heterogeneity revealed by MIRU-VNTR analysis. The comparative analysis of IS6110 insertion sites between coinfecting clonal variants showed differences in the genes coding for a cutinase, a PPE family protein, and two conserved hypothetical proteins. Diagnostic delay, existence of previous TB, risk for overexposure, and clustered/orphan status of the involved strains were analyzed to propose possible explanations for the cases with clonally complex infections. Our study characterizes in detail all the clonally complex infections by M. tuberculosis found in a systematic survey and contributes to the characterization that these phenomena can be found to an extent higher than expected, even in an unselected population-based sample lacking high infective pressure.
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Characterization of microevolution events in Mycobacterium tuberculosis strains involved in recent transmission clusters. J Clin Microbiol 2011; 49:3771-6. [PMID: 21940467 DOI: 10.1128/jcm.01285-11] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Under certain circumstances, it is possible to identify clonal variants of Mycobacterium tuberculosis infecting a single patient, probably as a result of subtle genetic rearrangements in part of the bacillary population. We systematically searched for these microevolution events in a different context, namely, recent transmission chains. We studied the clustered cases identified using a population-based universal molecular epidemiology strategy over a 5-year period. Clonal variants of the reference strain defining the cluster were found in 9 (12%) of the 74 clusters identified after the genotyping of 612 M. tuberculosis isolates by IS6110 restriction fragment length polymorphism analysis and mycobacterial interspersed repetitive units-variable-number tandem repeat typing. Clusters with microevolution events were epidemiologically supported and involved 4 to 9 cases diagnosed over a 1- to 5-year period. The IS6110 insertion sites from 16 representative isolates of reference and microevolved variants were mapped by ligation-mediated PCR in order to characterize the genetic background involved in microevolution. Both intragenic and intergenic IS6110 locations resulted from these microevolution events. Among those cases of IS6110 locations in intergenic regions which could have an effect on the regulation of adjacent genes, we identified the overexpression of cytochrome P450 in one microevolved variant using quantitative real-time reverse transcription-PCR. Our results help to define the frequency with which microevolution can be expected in M. tuberculosis transmission chains. They provide a snapshot of the genetic background of these subtle rearrangements and identify an event in which IS6110-mediated microevolution in an isogenic background has functional consequences.
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