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Conceição EC, da Conceição ML, Marcon DJ, Loubser J, Andrade GL, da Silva SP, Cruz ACR, Sharma A, Suffys P, Lima KVB. Genomic Diversity of the Rarely Observed Genotype of the Mycobacterium tuberculosis Central Asian (CAS) Lineage 3 from North Brazil. Microorganisms 2023; 11:microorganisms11010132. [PMID: 36677424 PMCID: PMC9862801 DOI: 10.3390/microorganisms11010132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 12/31/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb) Central Asian Strain (CAS) Lineage 3 (L3) genotype is predominantly found in East-Africa, Central-Asia, Western-Asia, and South-Asia; however, a new spoligotyping CAS/SIT2545 was found in northern regions of Brazil. We aimed to characterize and describe the genetic diversity and perform a phylogenetic assessment of this novel genotype. We performed 24-MIRU-VNTR loci and Whole-genome sequencing (WGS) of six Brazilian isolates previously spoligotyped. The libraries were prepared using a Nextera-XT kit and sequenced in a NextSeq 550 Illumina instrument. We performed lineage assignment and genomic characterization. From publicly available genomes of Mtb L3 and other lineages, we created a robust dataset to run the MTBSeq pipeline and perform a phylogenetic analysis. MIRU-VNTR and WGS confirmed CAS/SIT2545 belongs to L3. Out of 1691 genomes, 1350 (79.83%) passed in quality control (genomic coverage > 95%). Strain 431 differed in 52 single nucleotide variants (SNV), confirming it does not belong to the same transmission chain. The eight genomes from a global dataset clustered closer to Brazilian strains differed in >52 SNVs. We hypothesized L3 and L1 were introduced in Brazilian Northern in the same historical event; however, there is a need for additional studies exploring the genetic diversity of Mtb Brazilian Northern.
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Affiliation(s)
- Emilyn Costa Conceição
- Department of Science and Innovation—National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town P.O. Box 241, South Africa
- Seção de Bacteriologia e Micologia, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
- Correspondence:
| | | | - Davi Josué Marcon
- Seção de Bacteriologia e Micologia, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
- Centro de Genômica e Biologia de Sistemas, Universidade Federal do Pará, Belém 66075-110, PA, Brazil
| | - Johannes Loubser
- Department of Science and Innovation—National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town P.O. Box 241, South Africa
| | - Gabrielly Leite Andrade
- Seção de Bacteriologia e Micologia, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
- Departamento de Medicina, Centro Universitário do Pará—CESUPA, Belém 66613-903, PA, Brazil
| | - Sandro Patroca da Silva
- Seção de Arbovírus e Febres Hemorrágicas, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
| | - Ana Cecília Ribeiro Cruz
- Seção de Arbovírus e Febres Hemorrágicas, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
- Programa de Pós-graduação Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Belém 66087-670, PA, Brazil
| | - Abhinav Sharma
- Faculty of Engineering and Technology, Liverpool John Moores University (LJMU), Liverpool L35UX, UK
- Seqera Labs, 08005 Bacelona, Spain
| | - Philip Suffys
- Laboratório de Biologia Molecular Aplicada a Micobactéria, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro 21040-900, RJ, Brazil
| | - Karla Valéria Batista Lima
- Seção de Bacteriologia e Micologia, Instituto Evandro Chagas, Ananindeua 67030-000, PA, Brazil
- Programa de Pós-graduação Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Belém 66087-670, PA, Brazil
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Chen J, Chen L, Zhou M, Wu G, Yi F, Jiang C, Duan Q, Zhou M. Transmission of multidrug-resistant tuberculosis within family households by DTM-PCR and MIRU-VNTR genotyping. BMC Infect Dis 2022; 22:192. [PMID: 35219320 PMCID: PMC8881899 DOI: 10.1186/s12879-022-07188-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 02/18/2022] [Indexed: 11/10/2022] Open
Abstract
Background Drug-resistant tuberculosis (TB) continues to be a public health threat. There are few studies on transmission and genotyping of MDR-TB family households in China. This study aimed to investigate transmission of multidrug-resistant tuberculosis (MDR-TB) within family households by deletion-targeted multiplex polymerase chain reaction (DTM-PCR), mycobacterial interspersed repetitive unit variable number tandem repeats (MIRU-VNTR) genotyping.
Methods Among 993 MDR-TB patients registered from Wuhan Institute for Tuberculosis Control, drug resistance and the time interval between the index patients and secondary patients were analyzed in 49 MDR-TB patients from 23 families, in which 22 MDR-TB strains from 11 families who had matched strains were genotyped by DTM-PCR and standard 24-loci MIRU-VNTR genotyping method. Results The time interval between the index patients and the secondary patients ranged from half a month to 110 months. Thirteen secondary patients developed active MDR-TB within two years and accounted for 50% (13/26) of all secondary patients. Among eleven pairs of MDR-TB families, six pairs had identical genotypes, the cluster rate was 54.5% (12/22); three pairs had a single MIRU-VNTR locus variation. If a single MIRU-VNTR locus variation was tolerated in the cluster definition, the cluster rate raised to 81.8% (18/22). Conclusions The family households of MDR-TB patients are at risk for infection of MDR-TB. To reduce transmission, MDR-TB patients should be diagnosed earlier and promptly treated in an effective manner, meanwhile, the close family contacts should be screened for TB infection.
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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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A Clinical-Epidemiological and Geospatial Study of Tuberculosis in a Neglected Area in the Amazonian Region Highlights the Urgent Need for Control Measures. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18031335. [PMID: 33540763 PMCID: PMC7908568 DOI: 10.3390/ijerph18031335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 12/04/2020] [Accepted: 12/09/2020] [Indexed: 12/04/2022]
Abstract
Tuberculosis (TB) is an infectious communicable disease, which despite global efforts, still needs special attention in regions with difficult access. This study aims to describe the spatial and epidemiological trends of TB incidences from 2013 to 2018 in Marajó Island, the Amazonian region, Pará, Brazil. We have obtained secondary data from the Brazilian TB databases and performed geospatial and statistical analyses on the data for new TB cases, relapses, and re-admissions. From 2013 to 2018, 749 new cases were reported, in which the diagnostics (culture) was not performed for 652 (87.2%) patient samples, the drug resistance test (DST) was performed for nine (1.2%) samples, and one (0.13%) was multidrug-resistant TB (MDR-TB). The rapid molecular testing (RMT) was performed on 40 (5.3%) patient samples, with results indicating that eight (20%) were susceptible to rifampicin and two (5%) were rifampicin resistant. Overall, the cure rate was 449 (66.7%), while relapses and re-admissions were 41 and 44, respectively. On the geospatial distribution, the municipality of Soure stands out with a high number of incidences, relapses, and re-admissions. Spatially, the eight MDR cases were randomly distributed. Our data highlight the urgent need for TB control measures in this region, by introducing the Xpert-Ultra® MTB/RIF (Cepheid, Sunnyvale, CA, USA) and Ogawa-Kudoh.
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Guimarães AEDS, Sharma A, Furlaneto IP, Rutaihwa L, Cardoso JF, da Conceição ML, Spinassé LB, Machado E, Lopes ML, Duarte RS, Gagneux S, Suffys PN, Lima KVB, Conceição EC. Evaluation of drug susceptibility profile of Mycobacterium tuberculosis Lineage 1 from Brazil based on whole genome sequencing and phenotypic methods. Mem Inst Oswaldo Cruz 2021; 115:e200520. [PMID: 33533871 PMCID: PMC7849176 DOI: 10.1590/0074-02760200520] [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: 10/04/2020] [Accepted: 11/25/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The evaluation of procedures for drug susceptibility prediction of Mycobacterium tuberculosis based on genomic data against the conventional reference method test based on culture is realistic considering the scenario of growing number of tools proposals based on whole-genome sequences (WGS). OBJECTIVES This study aimed to evaluate drug susceptibility testing (DST) outcome based on WGS tools and the phenotypic methods performed on isolates of M. tuberculosis Lineage 1 from the state of Pará, Brazil, generally associated with low levels of drug resistance. METHODOLOGY Culture based DST was performed using the Proportion Method in Löwenstein-Jensen medium on 71 isolates that had been submitted to WGS. We analysed the seven main genome sequence-based tools for resistance and lineage prediction applied to M. tuberculosis and for comparison evaluation we have used the Kappa concordance test. FINDINGS When comparing the WGS-based tools against the DST, we observed the highest level of agreement using TB-profiler. Among the tools, TB-profiler, KvarQ and Mykrobe were those which identified the largest number of TB-MDR cases. Comparing the four most sensitive tools regarding resistance prediction, agreement was observed for 43 genomes. MAIN CONCLUSIONS Drug resistance profiling using next-generation sequencing offers rapid assessment of resistance-associated mutations, therefore facilitating rapid access to effective treatment.
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Affiliation(s)
- Arthur Emil dos Santos Guimarães
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação em 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
| | - Ismari Perini Furlaneto
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação em Biologia Parasitária na Amazônia, Belém, PA, Brasil
| | - Liliana Rutaihwa
- University of Basel, Basel, Switzerland
- Swiss Tropical & Public Health Institute, Basel,
Switzerland
| | | | - Marília Lima da Conceição
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação em Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | | | - Edson Machado
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Genética Molecular de Microrganismos, Rio de Janeiro, RJ, Brasil
| | - Maria Luiza Lopes
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação em Biologia Parasitária na Amazônia, Belém, PA, Brasil
| | - Rafael Silva Duarte
- Universidade Federal do Rio de Janeiro, Instituto de Microbiologia
Professor Paulo de Góes, Laboratório de Micobactérias, Rio de Janeiro, RJ,
Brasil
| | - Sebastien Gagneux
- University of Basel, Basel, Switzerland
- Swiss Tropical & Public Health Institute, Basel,
Switzerland
| | - 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 em Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | - Emilyn Costa Conceição
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
- 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
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Genomic epidemiology of Mycobacterium tuberculosis in Santa Catarina, Southern Brazil. Sci Rep 2020; 10:12891. [PMID: 32732910 PMCID: PMC7393130 DOI: 10.1038/s41598-020-69755-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/22/2020] [Indexed: 12/18/2022] Open
Abstract
Mycobacterium tuberculosis (M.tb), the pathogen responsible for tuberculosis (TB) poses as the major cause of death among infectious diseases. The knowledge about the molecular diversity of M.tb enables the implementation of more effective surveillance and control measures and, nowadays, Whole Genome Sequencing (WGS) holds the potential to produce high-resolution epidemiological data in a high-throughput manner. Florianópolis, the state capital of Santa Catarina (SC) in south Brazil, shows a high TB incidence (46.0/100,000). Here we carried out a WGS-based evaluation of the M.tb strain diversity, drug-resistance and ongoing transmission in the capital metropolitan region. Resistance to isoniazid, rifampicin, streptomycin was identified respectively in 4.0% (n = 6), 2.0% (n = 3) and 1.3% (n = 2) of the 151 studied strains by WGS. Besides, resistance to pyrazinamide and ethambutol was detected in 0.7% (n = 1) and reistance to ethionamide and fluoroquinolone (FQ) in 1.3% (n = 2), while a single (0.7%) multidrug-resistant (MDR) strain was identified. SNP-based typing classified all isolates into M.tb Lineage 4, with high proportion of sublineages LAM (60.3%), T (16.4%) and Haarlem (7.9%). The average core-genome distance between isolates was 420.3 SNPs, with 43.7% of all isolates grouped across 22 genomic clusters thereby showing the presence of important ongoing TB transmission events. Most clusters were geographically distributed across the study setting which highlights the need for an urgent interruption of these large transmission chains. The data conveyed by this study shows the presence of important and uncontrolled TB transmission in the metropolitan area and provides precise data to support TB control measures in this region.
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Automatic Identification of Individual rpoB Gene Mutations Responsible for Rifampin Resistance in Mycobacterium tuberculosis by Use of Melting Temperature Signatures Generated by the Xpert MTB/RIF Ultra Assay. J Clin Microbiol 2019; 58:JCM.00907-19. [PMID: 31533985 DOI: 10.1128/jcm.00907-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 09/12/2019] [Indexed: 01/05/2023] Open
Abstract
Molecular surveillance of rifampin-resistant Mycobacterium tuberculosis can help to monitor the transmission of the disease. The Xpert MTB/RIF Ultra assay detects mutations in the rifampin resistance-determining region (RRDR) of the rpoB gene by the use of melting temperature (Tm ) information from 4 rpoB probes which can fall in one of the 9 different assay-specified Tm windows. The large amount of Tm data generated by the assay offers the possibility of an RRDR genotyping approach more accessible than whole-genome sequencing. In this study, we developed an automated algorithm to specifically identify a wide range of mutations in the rpoB RRDR by utilizing the pattern of the Tm of the 4 probes within the 9 windows generated by the Ultra assay. The algorithm builds a RRDR mutation-specific "Tm signature" reference library from a set of known mutations and then identifies the RRDR genotype of an unknown sample by measuring the Tm distances between the test sample and the reference Tm values. Validated using a set of clinical isolates, the algorithm correctly identified RRDR genotypes of 93% samples with a wide range of rpoB single and double mutations. Our analytical approach showed a great potential for fast RRDR mutation identification and may also be used as a stand-alone method for ruling out relapse or transmission between patients. The algorithm can be further modified and optimized for higher accuracy as more Ultra data become available.
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Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues. Nat Rev Microbiol 2019; 17:533-545. [DOI: 10.1038/s41579-019-0214-5] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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