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Country-wide genotyping of Mycobacterium tuberculosis complex in Singapore, 2011–2017. Tuberculosis (Edinb) 2022; 134:102204. [DOI: 10.1016/j.tube.2022.102204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 03/23/2022] [Accepted: 03/29/2022] [Indexed: 11/18/2022]
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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: 10] [Impact Index Per Article: 2.0] [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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Couvin D, Reynaud Y, Rastogi N. Two tales: Worldwide distribution of Central Asian (CAS) versus ancestral East-African Indian (EAI) lineages of Mycobacterium tuberculosis underlines a remarkable cleavage for phylogeographical, epidemiological and demographical characteristics. PLoS One 2019; 14:e0219706. [PMID: 31299060 PMCID: PMC6625721 DOI: 10.1371/journal.pone.0219706] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 06/29/2019] [Indexed: 11/18/2022] Open
Abstract
The East African Indian (EAI) and Central Asian (CAS) lineages of Mycobacterium tuberculosis complex (MTBC) mainly infect tuberculosis (TB) patients in the eastern hemisphere which contains many of the 22 high TB burden countries including China and India. We investigated if phylogeographical, epidemiological and demographical characteristics for these 2 lineages differed in SITVIT2 database. Genotyping results and associated data (age, sex, HIV serology, drug resistance) on EAI and CAS lineages (n = 10,974 strains) were extracted. Phylogenetic and Bayesian, and other statistical analyses were used to compare isolates. The male/female sex ratio was 907/433 (2.09) for the EAI group vs. 881/544 (1.62) for CAS (p-value<0.002). The proportion of younger patients aged 0-20 yrs. with CAS lineage was significantly higher than for EAI lineage (18.07% vs. 10.85%, p-value<0.0001). The proportion of multidrug resistant and extensively drug resistant TB among CAS group (30.63% and 1.03%, respectively) was significantly higher than in the EAI group (12.14% and 0.29%, respectively; p-value<0.0001). Lastly, the proportion of HIV+ patients was 20.34% among the EAI group vs. 3.46% in the CAS group (p-value<0.0001). This remarkable split observed between various parameters for these 2 lineages was further corroborated by their geographic distribution profile (EAI being predominantly found in Eastern-Coast of Africa, South-India and Southeast Asia, while CAS was predominantly found in Afghanistan, Pakistan, North India, Nepal, Middle-east, Libya, Sudan, Ethiopia, Kenya and Tanzania). Some geo-specificities were highlighted. This study demonstrated a remarkable cleavage for aforementioned characteristics of EAI and CAS lineages, showing a North-South divide along the tropic of cancer in Eastern hemisphere-mainly in Asia, and partly prolonged along the horn of Africa. Such studies would be helpful to better comprehend prevailing TB epidemic in context of its historical spread and evolutionary features, and provide clues to better treatment and patient-care in countries and regions concerned by these lineages.
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Affiliation(s)
- David Couvin
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
- * E-mail: (DC); (NR)
| | - Yann Reynaud
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
- * E-mail: (DC); (NR)
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Couvin D, David A, Zozio T, Rastogi N. Macro-geographical specificities of the prevailing tuberculosis epidemic as seen through SITVIT2, an updated version of the Mycobacterium tuberculosis genotyping database. INFECTION GENETICS AND EVOLUTION 2018; 72:31-43. [PMID: 30593925 DOI: 10.1016/j.meegid.2018.12.030] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 12/23/2018] [Accepted: 12/25/2018] [Indexed: 02/01/2023]
Abstract
In order to provide a global overview of genotypic, epidemiologic, demographic, phylogeographical, and drug resistance characteristics related to the prevailing tuberculosis (TB) epidemic, we hereby report an update of the 6th version of the international genotyping database SITVIT2. We also make all the available information accessible through a dedicated website (available at http://www.pasteur-guadeloupe.fr:8081/SITVIT2). Thanks to the public release of SITVIT2 which is currently the largest international multimarker genotyping database with a compilation of 111,635 clinical isolates from 169 countries of patient origin (131 countries of isolation, representing 1032 cities), our major aim is to highlight macro- and micro-geographical cleavages and phylogeographical specificities of circulating Mycobacterium tuberculosis complex (MTBC) clones worldwide. For this purpose, we retained strains typed by the most commonly used PCR-based methodology for TB genotyping, i.e., spoligotyping based on the polymorphism of the direct repeat (DR) locus, 5-loci Exact Tandem Repeats (ETRs), and MIRU-VNTR minisatellites used in 12-, 15-, or 24-loci formats. We describe the SITVIT2 database and integrated online applications that permit to interrogate the database using easy drop-down menus to draw maps, graphics and tables versus a long list of parameters and variables available for individual clinical isolates (year and place of isolation, origin, sex, and age of patient, drug-resistance, etc.). Available tools further allow to generate phylogenetical snapshot of circulating strains as Lineage-specific WebLogos, as well as minimum spanning trees of their genotypes in conjunction with their geographical distribution, drug-resistance, demographic, and epidemiologic characteristics instantaneously; whereas online statistical analyses let a user to pinpoint phylogeographical specificities of circulating MTBC lineages and conclude on actual demographic trends. Available associated information on gender (n = 18,944), age (n = 16,968), drug resistance (n = 19,606), and HIV serology (n = 2673), allowed to draw some important conclusions on TB geo-epidemiology; e.g. a positive correlation exists between certain Mycobacterium tuberculosis lineages (such as CAS and Beijing) and drug resistance (p-value<.001), while other lineages (such as LAM, X, and BOV) are more frequently associated with HIV-positive serology (p-value<.001). Besides, availability of information on the year of isolation of strains (range 1759-2012), also allowed to make tentative correlations between drug resistance information and lineages - portraying probable evolution trends over time and space. To conclude, the present approach of geographical mapping of predominant clinical isolates of tubercle bacilli causing the bulk of the disease both at country and regional level in conjunction with epidemiologic and demographic characteristics allows to shed new light on TB geo-epidemiology in relation with the continued waves of peopling and human migration.
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Affiliation(s)
- David Couvin
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France.
| | - Audrey David
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France
| | - Thierry Zozio
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France.
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Chihota VN, Niehaus A, Streicher EM, Wang X, Sampson SL, Mason P, Källenius G, Mfinanga SG, Pillay M, Klopper M, Kasongo W, Behr MA, Gey van Pittius NC, van Helden PD, Couvin D, Rastogi N, Warren RM. Geospatial distribution of Mycobacterium tuberculosis genotypes in Africa. PLoS One 2018; 13:e0200632. [PMID: 30067763 PMCID: PMC6070189 DOI: 10.1371/journal.pone.0200632] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 06/29/2018] [Indexed: 11/24/2022] Open
Abstract
Objective To investigate the distribution of Mycobacterium tuberculosis genotypes across Africa. Methods The SITVIT2 global repository and PUBMED were searched for spoligotype and published genotype data respectively, of M. tuberculosis from Africa. M. tuberculosis lineages in Africa were described and compared across regions and with those from 7 European and 6 South-Asian countries. Further analysis of the major lineages and sub-lineages using Principal Component analysis (PCA) and hierarchical cluster analysis were done to describe clustering by geographical regions. Evolutionary relationships were assessed using phylogenetic tree analysis. Results A total of 14727 isolates from 35 African countries were included in the analysis and of these 13607 were assigned to one of 10 major lineages, whilst 1120 were unknown. There were differences in geographical distribution of major lineages and their sub-lineages with regional clustering. Southern African countries were grouped based on high prevalence of LAM11-ZWE strains; strains which have an origin in Portugal. The grouping of North African countries was due to the high percentage of LAM9 strains, which have an origin in the Eastern Mediterranean region. East African countries were grouped based on Central Asian (CAS) and East-African Indian (EAI) strain lineage possibly reflecting historic sea trade with Asia, while West African Countries were grouped based on Cameroon lineage of unknown origin. A high percentage of the Haarlem lineage isolates were observed in the Central African Republic, Guinea, Gambia and Tunisia, however, a mixed distribution prevented close clustering. Conclusions This study highlighted that the TB epidemic in Africa is driven by regional epidemics characterized by genetically distinct lineages of M. tuberculosis. M. tuberculosis in these regions may have been introduced from either Europe or Asia and has spread through pastoralism, mining and war. The vast array of genotypes and their associated phenotypes should be considered when designing future vaccines, diagnostics and anti-TB drugs.
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Affiliation(s)
- Violet N. Chihota
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
- The Aurum Institute, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- * E-mail:
| | - Antoinette Niehaus
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Elizabeth M. Streicher
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Xia Wang
- Department of Mathematical Sciences, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Samantha L. Sampson
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Peter Mason
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Gunilla Källenius
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Sayoki G. Mfinanga
- National Institute for Medical Research Muhimbili Medical Research Centre, Dar es Saalam, Tanzania
| | - Marnomorney Pillay
- Department of Medical Microbiology University of KwaZulu Natal, Durban, South Africa
| | - Marisa Klopper
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | | | - Marcel A. Behr
- Division of Infectious Diseases, Department of Medicine McGill University Health Centre, Montreal, Quebec, Canada
| | - Nicolaas C. Gey van Pittius
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Paul D. van Helden
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - David Couvin
- 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
| | - Robin M. Warren
- DST/NRF Centre of Excellence for Biomedical Tuberculosis Research /SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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Seto J, Wada T, Suzuki Y, Ikeda T, Mizuta K, Yamamoto T, Ahiko T. Mycobacterium tuberculosis Transmission among Elderly Persons, Yamagata Prefecture, Japan, 2009-2015. Emerg Infect Dis 2018; 23:448-455. [PMID: 28221133 PMCID: PMC5382749 DOI: 10.3201/eid2303.161571] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
In many countries with low to moderate tuberculosis (TB) incidence, cases have shifted to elderly persons. It is unclear, however, whether these cases are associated with recent Mycobacterium tuberculosis transmission or represent reactivation of past disease. During 2009–2015, we performed a population-based TB investigation in Yamagata Prefecture, Japan, using in-depth contact tracing and 24-loci variable-number tandem-repeat typing optimized for Beijing family M. tuberculosis strains. We analyzed 494 strains, of which 387 (78.3%) were derived from elderly patients. Recent transmission with an epidemiologic link was confirmed in 22 clusters (70 cases). In 17 (77.3%) clusters, the source patient was elderly; 11 (64.7%) of the 17 clusters occurred in a hospital or nursing home. In this setting, the increase in TB cases was associated with M. tuberculosis transmissions from elderly persons. Prevention of transmission in places where elderly persons gather will be an effective strategy for decreasing TB incidence among predominantly elderly populations.
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Mycobacterium tuberculosis genotypes and predominant clones among the multidrug-resistant isolates in Spain 1998-2005. INFECTION GENETICS AND EVOLUTION 2017; 55:117-126. [PMID: 28789982 DOI: 10.1016/j.meegid.2017.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 07/31/2017] [Accepted: 08/03/2017] [Indexed: 11/23/2022]
Abstract
Although the incidence of tuberculosis (TB) is gradually decreasing in Spain, there is an increase in the proportion of foreign-born cases. This changing scenario is slowly shifting the local TB epidemiology from endemic to imported cases with an increased risk for multidrug-resistant (MDR) and extensively drug resistant (XDR) strains of Mycobacterium tuberculosis complex. MDR/XDR strains from Spain (n=366 MTBC isolates, 1 strain per patient) isolated between 1998 and 2005 were retained for this retrospective analysis. All strains were analyzed by spoligotyping, while 12-loci MIRU-VNTR data were available for 106 isolates from 2003 to 2005. Demographic, phylogenetic, and epidemiologic analyses using anonymized data were collected and analyzed using the SITVIT2 database. Our study provides with a first snapshot of genetic diversity of MDR/XDR-TB in several autonomous regions of Spain. It highlights significantly more of SIT1/Beijing and SIT66/BOV MDR isolates (5.7% and 7.38% respectively) and increasingly more foreign-born cases from Eastern Europe. Future studies should focus on shared genotypes between Spanish and foreign-born patients to decipher the modes of transmission and risk factors involved, and decipher the proportion of imported cases of active disease versus cases of reactivation of latent TB infection among foreign-born individuals.
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Combined Genotypic, Phylogenetic, and Epidemiologic Analyses of Mycobacterium tuberculosis Genetic Diversity in the Rhône Alpes Region, France. PLoS One 2016; 11:e0153580. [PMID: 27128522 PMCID: PMC4851328 DOI: 10.1371/journal.pone.0153580] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 03/31/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The present work relates to identification and a deep molecular characterization of circulating Mycobacterium tuberculosis complex (MTBC) strains in the Rhône-Alpes region, France from 2000 to 2010. It aimed to provide with a first snapshot of MTBC genetic diversity in conjunction with bacterial drug resistance, type of disease and available demographic and epidemiologic characteristics over an eleven-year period, in the south-east of France. METHODS Mycobacterium tuberculosis complex (MTBC) strains isolated in the Rhône-Alpes region, France (n = 2257, 1 isolate per patient) between 2000 and 2010 were analyzed by spoligotyping. MIRU-VNTR typing was applied on n = 1698 strains (with full results available for 974 strains). The data obtained were compared with the SITVIT2 database, followed by detailed genotyping, phylogenetic, and epidemiologic analyses in correlation with anonymized data on available demographic, and epidemiologic characteristics, and location of disease (pulmonary or extrapulmonary TB). RESULTS The most predominant spoligotyping clusters were SIT53/T1 (n = 346, 15.3%) > SIT50/H3 (n = 166, 7.35%) > SIT42/LAM9 (n = 125, 5.5%) > SIT1/Beijing (n = 72, 3.2%) > SIT47/H1 (n = 71, 3.1%). Evolutionary-recent strains belonging to the Principal Genetic Group (PGG) 2/3, or Euro-American lineages (T, LAM, Haarlem, X, S) were predominant and represented 1768 or 78.33% of all isolates. For strains having drug resistance information (n = 1119), any drug resistance accounted for 14.83% cases vs. 1.52% for multidrug resistance (MDR); and was significantly more associated with age group 21-40 years (p-value<0.001). Extra-pulmonary TB was more common among female patients while pulmonary TB predominated among men (p-value<0.001; OR = 2.16 95%CI [1.69; 2.77]). Also, BOV and CAS lineages were significantly well represented in patients affected by extra-pulmonary TB (p-value<0.001). The origin was known for 927/2257 patients: 376 (40.6%) being French-born vs. 551 (59.4%) Foreign-born. French patients were significantly older (mean age: 58.42 yrs 95%CI [56.04; 60.80]) than Foreign-born patients (mean age: 42.38 yrs. 95%CI [40.75; 44.0]). CONCLUSION The study underlined the importance of imported TB cases on the genetic diversity and epidemiologic characteristics of circulating MTBC strains in Rhône-Alpes region, France over a large time-period. It helps better understand intricate relationships between certain lineages and geographic origin of the patients, and pinpoints genotypic and phylogenetic specificities of prevailing MTBC strains. Lastly, it also demonstrated a slow decline in isolation of M. africanum lineage in this region between 2000 and 2010.
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Reynaud Y, Millet J, Rastogi N. Genetic Structuration, Demography and Evolutionary History of Mycobacterium tuberculosis LAM9 Sublineage in the Americas as Two Distinct Subpopulations Revealed by Bayesian Analyses. PLoS One 2015; 10:e0140911. [PMID: 26517715 PMCID: PMC4627653 DOI: 10.1371/journal.pone.0140911] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 10/01/2015] [Indexed: 02/06/2023] Open
Abstract
Tuberculosis (TB) remains broadly present in the Americas despite intense global efforts for its control and elimination. Starting from a large dataset comprising spoligotyping (n = 21183 isolates) and 12-loci MIRU-VNTRs data (n = 4022 isolates) from a total of 31 countries of the Americas (data extracted from the SITVIT2 database), this study aimed to get an overview of lineages circulating in the Americas. A total of 17119 (80.8%) strains belonged to the Euro-American lineage 4, among which the most predominant genotypic family belonged to the Latin American and Mediterranean (LAM) lineage (n = 6386, 30.1% of strains). By combining classical phylogenetic analyses and Bayesian approaches, this study revealed for the first time a clear genetic structuration of LAM9 sublineage into two subpopulations named LAM9C1 and LAM9C2, with distinct genetic characteristics. LAM9C1 was predominant in Chile, Colombia and USA, while LAM9C2 was predominant in Brazil, Dominican Republic, Guadeloupe and French Guiana. Globally, LAM9C2 was characterized by higher allelic richness as compared to LAM9C1 isolates. Moreover, LAM9C2 sublineage appeared to expand close to twenty times more than LAM9C1 and showed older traces of expansion. Interestingly, a significant proportion of LAM9C2 isolates presented typical signature of ancestral LAM-RDRio MIRU-VNTR type (224226153321). Further studies based on Whole Genome Sequencing of LAM strains will provide the needed resolution to decipher the biogeographical structure and evolutionary history of this successful family.
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Affiliation(s)
- Yann Reynaud
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
- * E-mail: (YR); (NR)
| | - Julie Millet
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Tuberculosis and Mycobacteria Unit, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
- * E-mail: (YR); (NR)
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Takiff HE, Feo O. Clinical value of whole-genome sequencing of Mycobacterium tuberculosis. THE LANCET. INFECTIOUS DISEASES 2015; 15:1077-1090. [PMID: 26277037 DOI: 10.1016/s1473-3099(15)00071-7] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 04/27/2015] [Accepted: 05/20/2015] [Indexed: 01/25/2023]
Abstract
Whole-genome sequencing (WGS) is now common as a result of new technologies that can rapidly sequence a complete bacterial genome for US$500 or less. Many studies have addressed questions about tuberculosis with WGS, and knowing the sequence of the entire genome, rather than only a few fragments, has greatly increased the precision of molecular epidemiology and contact tracing. Additionally, topics such as the mutation rate, drug resistance, the target of new drugs, and the phylogeny and evolution of the Mycobacterium tuberculosis complex bacteria have been elucidated by WGS. Nonetheless, WGS has not explained differences in transmissibility between strains, or why some strains are more virulent than others or more prone to development of multidrug resistance. With advances in technology, WGS of clinical specimens could become routine in high-income countries; however, its relevance will probably depend on easy to use software to efficiently process the sequences produced and accessible genomic databases that can be mined in future studies.
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Affiliation(s)
- Howard E Takiff
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Cientificas (IVIC), Caracas, Venezuela; Unité de Génétique Mycobactérienne, Insitut Pasteur, Paris, France.
| | - Oscar Feo
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Cientificas (IVIC), Caracas, Venezuela
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Seto J, Wada T, Iwamoto T, Tamaru A, Maeda S, Yamamoto K, Hase A, Murakami K, Maeda E, Oishi A, Migita Y, Yamamoto T, Ahiko T. Phylogenetic assignment of Mycobacterium tuberculosis Beijing clinical isolates in Japan by maximum a posteriori estimation. INFECTION GENETICS AND EVOLUTION 2015. [PMID: 26220897 DOI: 10.1016/j.meegid.2015.07.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Intra-species phylogeny of Mycobacterium tuberculosis has been regarded as a clue to estimate its potential risk to develop drug-resistance and various epidemiological tendencies. Genotypic characterization of variable number of tandem repeats (VNTR), a standard tool to ascertain transmission routes, has been improving as a public health effort, but determining phylogenetic information from those efforts alone is difficult. We present a platform based on maximum a posteriori (MAP) estimation to estimate phylogenetic information for M. tuberculosis clinical isolates from individual profiles of VNTR types. This study used 1245 M. tuberculosis clinical isolates obtained throughout Japan for construction of an MAP estimation formula. Two MAP estimation formulae, classification of Beijing family and other lineages, and classification of five Beijing sublineages (ST11/26, STK, ST3, and ST25/19 belonging to the ancient Beijing subfamily and modern Beijing subfamily), were created based on 24 loci VNTR (24Beijing-VNTR) profiles and phylogenetic information of the isolates. Recursive estimation based on the formulae showed high concordance with their authentic phylogeny by multi-locus sequence typing (MLST) of the isolates. The formulae might further support phylogenetic estimation of the Beijing lineage M. tuberculosis from the VNTR genotype with various geographic backgrounds. These results suggest that MAP estimation can function as a reliable probabilistic process to append phylogenetic information to VNTR genotypes of M. tuberculosis independently, which might improve the usage of genotyping data for control, understanding, prevention, and treatment of TB.
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Affiliation(s)
- Junji Seto
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, 1-6-6 Toka-machi, Yamagata-shi, Yamagata 990-0031, Japan.
| | - Takayuki Wada
- Department of International Health, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan.
| | - Tomotada Iwamoto
- Department of Microbiology, Kobe Institute of Health, 4-6 Minatojima-nakamachi, Chuo-ku, Kobe 650-0046, Japan
| | - Aki Tamaru
- Department of Microbiology, Osaka Prefectural Institute of Public Health, 1-3-69 Nakamichi, Higashinari-ku, Osaka 537-0025, Japan
| | - Shinji Maeda
- School of Pharmacy, Hokkaido Pharmaceutical University, 7-15-4-1 Maeda, Teine-ku, Sapporo, Hokkaido 006-8590, Japan
| | - Kaori Yamamoto
- Department of Microbiology, Osaka City Institute of Public Health and Environmental Sciences, 8-34 Tojo-cho, Tennoji-ku, Osaka 543-0026, Japan; Department of International Health, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Atsushi Hase
- Department of Microbiology, Osaka City Institute of Public Health and Environmental Sciences, 8-34 Tojo-cho, Tennoji-ku, Osaka 543-0026, Japan
| | - Koichi Murakami
- Department of Health Science, Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu, Fukuoka 818-0135, Japan
| | - Eriko Maeda
- Department of Health Science, Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu, Fukuoka 818-0135, Japan
| | - Akira Oishi
- Department of Health Science, Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu, Fukuoka 818-0135, Japan
| | - Yuji Migita
- Department of Microbiology, Nagasaki Prefectural Institute for Environmental Research and Public Health, 2-1306-11 Ikeda, Ohmura, Nagasaki 856-0026, Japan
| | - Taro Yamamoto
- Department of International Health, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan; Department of International Health, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Tadayuki Ahiko
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, 1-6-6 Toka-machi, Yamagata-shi, Yamagata 990-0031, Japan
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12
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Sun Z, Li W, Xu S, Huang H. The discovery, function and development of the variable number tandem repeats in different Mycobacterium species. Crit Rev Microbiol 2015; 42:738-58. [PMID: 26089025 DOI: 10.3109/1040841x.2015.1022506] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The method of genotyping by variable number tandem repeats (VNTRs) facilitates the epidemiological studies of different Mycobacterium species worldwide. Until now, the VNTR method is not fully understood, for example, its discovery, function and classification. The inconsistent nomenclature and terminology of VNTR is especially confusing. In this review, we first describe in detail the VNTRs in Mycobacterium tuberculosis (M. tuberculosis), as this pathogen resulted in more deaths than any other microbial pathogen as well as for which extensive studies of VNTRs were carried out, and then we outline the recent progress of the VNTR-related epidemiological research in several other Mycobacterium species, such as M. abscessus, M. africanum, M. avium, M. bovis, M. canettii, M. caprae, M. intracellulare, M. leprae, M. marinum, M. microti, M. pinnipedii and M. ulcerans from different countries and regions. This article is aimed mainly at the practical notes of VNTR to help the scientists in better understanding and performing this method.
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Affiliation(s)
- Zhaogang Sun
- a Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing Key Laboratory for Drug Resistance Tuberculosis Research , Beijing , China and
| | - Weimin Li
- b Beijing Chest Hospital, National Tuberculosis Clinical Laboratory, Capital Medical University , Beijing , China
| | - Shaofa Xu
- b Beijing Chest Hospital, National Tuberculosis Clinical Laboratory, Capital Medical University , Beijing , China
| | - Hairong Huang
- b Beijing Chest Hospital, National Tuberculosis Clinical Laboratory, Capital Medical University , Beijing , China
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Couvin D, Rastogi N. Tuberculosis – A global emergency: Tools and methods to monitor, understand, and control the epidemic with specific example of the Beijing lineage. Tuberculosis (Edinb) 2015; 95 Suppl 1:S177-89. [DOI: 10.1016/j.tube.2015.02.023] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Fournier PE, Dubourg G, Raoult D. Clinical detection and characterization of bacterial pathogens in the genomics era. Genome Med 2014; 6:114. [PMID: 25593594 PMCID: PMC4295418 DOI: 10.1186/s13073-014-0114-2] [Citation(s) in RCA: 85] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
The availability of genome sequences obtained using next-generation sequencing (NGS) has revolutionized the field of infectious diseases. Indeed, more than 38,000 bacterial and 5,000 viral genomes have been sequenced to date, including representatives of all significant human pathogens. These tremendous amounts of data have not only enabled advances in fundamental biology, helping to understand the pathogenesis of microorganisms and their genomic evolution, but have also had implications for clinical microbiology. Here, we first review the current achievements of genomics in the development of improved diagnostic tools, including those that are now available in the clinic, such as the design of PCR assays for the detection of microbial pathogens, virulence factors or antibiotic-resistance determinants, or the design of optimized culture media for 'unculturable' pathogens. We then review the applications of genomics to the investigation of outbreaks, either through the design of genotyping assays or the direct sequencing of the causative strains. Finally, we discuss how genomics might change clinical microbiology in the future.
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Affiliation(s)
- Pierre-Edouard Fournier
- Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS7278, IRD198, InsermU1095, Institut hospitalo-universitaire Méditerranée-Infection, Aix-Marseille University, Faculté de Medecine, 27 Blvd Jean Moulin, Marseille, 13385, cedex 5 France
| | - Gregory Dubourg
- Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS7278, IRD198, InsermU1095, Institut hospitalo-universitaire Méditerranée-Infection, Aix-Marseille University, Faculté de Medecine, 27 Blvd Jean Moulin, Marseille, 13385, cedex 5 France
| | - Didier Raoult
- Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM63, CNRS7278, IRD198, InsermU1095, Institut hospitalo-universitaire Méditerranée-Infection, Aix-Marseille University, Faculté de Medecine, 27 Blvd Jean Moulin, Marseille, 13385, cedex 5 France
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15
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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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16
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Vasconcellos SEG, Acosta CC, Gomes LL, Conceição EC, Lima KV, de Araujo MI, Leite MDL, Tannure F, Caldas PCDS, Gomes HM, Santos AR, Gomgnimbou MK, Sola C, Couvin D, Rastogi N, Boechat N, Suffys PN. Strain classification of Mycobacterium tuberculosis isolates in Brazil based on genotypes obtained by spoligotyping, mycobacterial interspersed repetitive unit typing and the presence of large sequence and single nucleotide polymorphism. PLoS One 2014; 9:e107747. [PMID: 25314118 PMCID: PMC4196770 DOI: 10.1371/journal.pone.0107747] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2014] [Accepted: 08/21/2014] [Indexed: 11/26/2022] Open
Abstract
Rio de Janeiro is endemic for tuberculosis (TB) and presents the second largest prevalence of the disease in Brazil. Here, we present the bacterial population structure of 218 isolates of Mycobacterium tuberculosis, derived from 186 patients that were diagnosed between January 2008 and December 2009. Genotypes were generated by means of spoligotyping, 24 MIRU-VNTR typing and presence of fbpC103, RDRio and RD174. The results confirmed earlier data that predominant genotypes in Rio de Janeiro are those of the Euro American Lineages (99%). However, we observed differences between the classification by spoligotyping when comparing to that of 24 MIRU-VNTR typing, being respectively 43.6% vs. 62.4% of LAM, 34.9% vs. 9.6% of T and 18.3% vs. 21.5% of Haarlem. Among isolates classified as LAM by MIRU typing, 28.0% did not present the characteristic spoligotype profile with absence of spacers 21 to 24 and 32 to 36 and we designated these conveniently as “LAM-like”, 79.3% of these presenting the LAM-specific SNP fbpC103. The frequency of RDRio and RD174 in the LAM strains, as defined both by spoligotyping and 24 MIRU-VNTR loci, were respectively 11% and 15.4%, demonstrating that RD174 is not always a marker for LAM/RDRio strains. We conclude that, although spoligotyping alone is a tool for classification of strains of the Euro-American lineage, when combined with MIRU-VNTRs, SNPs and RD typing, it leads to a much better understanding of the bacterial population structure and phylogenetic relationships among strains of M. tuberculosis in regions with high incidence of TB.
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Affiliation(s)
- Sidra E. G. Vasconcellos
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
- Multidisciplinary Research Laboratory, University Hospital Clementino Fraga Filho – HUCFF, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Chyntia Carolina Acosta
- Laboratory of Cellular Microbiology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Lia Lima Gomes
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Karla Valéria Lima
- Instituto Evandro Chagas, Section of Bacteriology and Mycology, Belém, Pará, Brazil
| | - Marcelo Ivens de Araujo
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Maria de Lourdes Leite
- Hospital Municipal Rafael de Paula Souza, Municipal Secretary of Health, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Flávio Tannure
- Hospital Municipal Rafael de Paula Souza, Municipal Secretary of Health, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Paulo Cesar de Souza Caldas
- Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Publica Sergio Arouca, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Harrison M. Gomes
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Adalberto Rezende Santos
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Michel K. Gomgnimbou
- CNRS–Université Paris–Sud, Institut de Génétique et Microbiologie–Infection Genetics Emerging Pathogens Evolution Team, Orsay, France
| | - Christophe Sola
- CNRS–Université Paris–Sud, Institut de Génétique et Microbiologie–Infection Genetics Emerging Pathogens Evolution Team, Orsay, France
| | - David Couvin
- Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France
| | - Nalin Rastogi
- Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes, Guadeloupe, France
| | - Neio Boechat
- Multidisciplinary Research Laboratory, University Hospital Clementino Fraga Filho – HUCFF, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil
- Graduate Program in Clinical Medicine, Faculty of Medicine, University Hospital Clementino Fraga Filho, Rio de Janeiro, Rio de Janeiro, Brazil
| | - Philip Noel Suffys
- Laboratory of Molecular Biology Applied to Mycobacteria, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil
- * E-mail:
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17
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Liu Y, Tian M, Wang X, Wei R, Xing Q, Ma T, Jiang X, Li W, Zhang Z, Xue Y, Zhang X, Wang W, Wang T, Hong F, Zhang J, Wang S, Li C. Genotypic diversity analysis of Mycobacterium tuberculosis strains collected from Beijing in 2009, using spoligotyping and VNTR typing. PLoS One 2014; 9:e106787. [PMID: 25237849 PMCID: PMC4169523 DOI: 10.1371/journal.pone.0106787] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2014] [Accepted: 07/31/2014] [Indexed: 11/28/2022] Open
Abstract
Background Tuberculosis (TB) is a serious problem in China. While there have been some studies on the nationwide genotyping of Mycobacterium tuberculosis (M. tuberculosis), there has been little detailed research in Beijing, the capital of China, which has a huge population. Here, M. tuberculosis clinical strains collected in Beijing during 2009 were genotyped by classical methods. Methodology/Principal Findings Our aim was to analyze the genetic diversity of M. tuberculosis strains within the Beijing metropolitan area. We characterized these strains using two standard methods, spoligotyping (n = 1585) and variable number of tandem repeat (VNTR) typing (n = 1053). We found that the most prominent genotype was Beijing family genotype. Other genotypes included the MANU, T and H families etc. Spoligotyping resulted in 137 type patterns, included 101 unclustered strains and 1484 strains clustered into 36 clusters. In VNTR typing analysis, we selected 12-locus (QUB-11b, MIRU10, Mtub21, MIRU 23, MIRU39, MIRU16, MIRU40, MIRU31, Mtub24, Mtub04, MIRU20, and QUB-4156c) and named it 12-locus (BJ) VNTR. VNTR resulted in 869 type patterns, included 796 unclustered strains and 257 strains clustered into 73 clusters. It has almost equal discriminatory power to the 24-locus VNTR. Conclusions/Significance Our study provides a detailed characterization of the genotypic diversity of M. tuberculosis in Beijing. Combining spoligotyping and VNTR typing to study the genotyping of M. tuberculosis gave superior results than when these techniques were used separately. Our results indicated that Beijing family strains were still the most prevalent M. tuberculosis in Beijing. Moreover, VNTR typing analyzing of M. tuberculosis strains in Beijing was successfully accomplished using 12-locus (BJ) VNTR. This method used for strains genotyping from the Beijing metropolitan area was comparable. This study will not only provide TB researchers with valuable information for related studies, but also provides guidance for the prevention and control of TB in Beijing.
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Affiliation(s)
- Yi Liu
- The Key Laboratory for Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Haidian District, Beijing, China; Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Miao Tian
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Xueke Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Rongrong Wei
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Qing Xing
- Central Laboratory, Beijing Research Institute for Tuberculosis Control, Xicheng District, Beijing, PR China
| | - Tizhuang Ma
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Xiaoying Jiang
- Clinical Center on TB, China CDC, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Wensheng Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Zhiguo Zhang
- Beijing Changping Center for Tuberculosis Control and Prevention, Changping District, Beijing, PR China
| | - Yu Xue
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Tao Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
| | - Feng Hong
- Central Laboratory, Beijing Research Institute for Tuberculosis Control, Xicheng District, Beijing, PR China
| | - Junjie Zhang
- The Key Laboratory for Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Haidian District, Beijing, China
| | - Sumin Wang
- Central Laboratory, Beijing Research Institute for Tuberculosis Control, Xicheng District, Beijing, PR China
| | - Chuanyou Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Tongzhou District, Beijing, PR China
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18
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Dugat T, Chastagner A, Lagrée AC, Petit E, Durand B, Thierry S, Corbière F, Verheyden H, Chabanne L, Bailly X, Leblond A, Vourc'h G, Boulouis HJ, Maillard R, Haddad N. A new multiple-locus variable-number tandem repeat analysis reveals different clusters for Anaplasma phagocytophilum circulating in domestic and wild ruminants. Parasit Vectors 2014; 7:439. [PMID: 25228371 PMCID: PMC4262125 DOI: 10.1186/1756-3305-7-439] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 09/02/2014] [Indexed: 11/26/2022] Open
Abstract
Background Anaplasma phagocytophilum is a tick-borne intragranulocytic alpha-proteobacterium. It is the causative agent of tick-borne fever in ruminants, and of human granulocytic anaplasmosis in humans, two diseases which are becoming increasingly recognized in Europe and the USA. However, while several molecular typing tools have been developed over the last years, few of them are appropriate for in-depth exploration of the epidemiological cycle of this bacterium. Therefore we have developed a Multiple-Locus Variable number tandem repeat (VNTR) Analysis typing technique for A. phagocytophilum. Methods Five VNTRs were selected based on the HZ human-derived strain genome, and were tested on the Webster human-derived strain and on 123 DNA samples: 67 from cattle, 7 from sheep, 15 from roe deer, 4 from red deer, 1 from a reindeer, 2 from horses, 1 from a dog, and 26 from ticks. Results From these samples, we obtained 84 different profiles, with a diversity index of 0.96 (0.99 for vertebrate samples, i.e. without tick samples). Our technique confirmed that A. phagocytophilum from roe deer or domestic ruminants belong to two different clusters, while A. phagocytophilum from red deer and domestic ruminants locate within the same cluster, questioning the respective roles of roe vs red deer as reservoir hosts for domestic ruminant strains in Europe. As expected, greater diversity was obtained between rather than within cattle herds. Conclusions Our technique has great potential to provide detailed information on A. phagocytophilum isolates, improving both epidemiological and phylogenic investigations, thereby helping in the development of relevant prevention and control measures. Electronic supplementary material The online version of this article (doi:10.1186/1756-3305-7-439) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Renaud Maillard
- Université Paris-Est, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR ENVA Anses UPEC USC INRA, Maisons-Alfort, France.
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Current methods in the molecular typing of Mycobacterium tuberculosis and other mycobacteria. BIOMED RESEARCH INTERNATIONAL 2014; 2014:645802. [PMID: 24527454 PMCID: PMC3914561 DOI: 10.1155/2014/645802] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2013] [Accepted: 11/18/2013] [Indexed: 11/18/2022]
Abstract
In the epidemiology of tuberculosis (TB) and nontuberculous mycobacterial (NTM) diseases, as in all infectious diseases, the key issue is to define the source of infection and to disclose its routes of transmission and dissemination in the environment. For this to be accomplished, the ability of discerning and tracking individual Mycobacterium strains is of critical importance. Molecular typing methods have greatly improved our understanding of the biology of mycobacteria and provide powerful tools to combat the diseases caused by these pathogens. The utility of various typing methods depends on the Mycobacterium species under investigation as well as on the research question. For tuberculosis, different methods have different roles in phylogenetic analyses and person-to-person transmission studies. In NTM diseases, most investigations involve the search for environmental sources or phylogenetic relationships. Here, too, the type of setting determines which methodology is most suitable. Within this review, we summarize currently available molecular methods for strain typing of M. tuberculosis and some NTM species, most commonly associated with human disease. For the various methods, technical practicalities as well as discriminatory power and accomplishments are reviewed.
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20
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Gehre F, Antonio M, Faïhun F, Odoun M, Uwizeye C, de Rijk P, de Jong BC, Affolabi D. The first phylogeographic population structure and analysis of transmission dynamics of M. africanum West African 1--combining molecular data from Benin, Nigeria and Sierra Leone. PLoS One 2013; 8:e77000. [PMID: 24143198 PMCID: PMC3797137 DOI: 10.1371/journal.pone.0077000] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2013] [Accepted: 09/06/2013] [Indexed: 11/18/2022] Open
Abstract
Mycobacterium africanum is an important cause of tuberculosis (TB) in West Africa. So far, two lineages called M. africanum West African 1 (MAF1) and M. africanum West African 2 (MAF2) have been defined. Although several molecular studies on MAF2 have been conducted to date, little is known about MAF1. As MAF1 is mainly present in countries around the Gulf of Guinea we aimed to estimate its prevalence in Cotonou, the biggest city in Benin. Between 2005–06 we collected strains in Cotonou/Benin and genotyped them using spoligo- and 12-loci-MIRU-VNTR-typing. Analyzing 194 isolates, we found that 31% and 6% were MAF1 and MAF2, respectively. Therefore Benin is one of the countries with the highest prevalence (37%) of M. africanum in general and MAF1 in particular. Moreover, we combined our data from Benin with publicly available genotyping information from Nigeria and Sierra Leone, and determined the phylogeographic population structure and genotypic clustering of MAF1. Within the MAF1 lineage, we identified an unexpected great genetic variability with the presence of at least 10 sub-lineages. Interestingly, 8 out of 10 of the discovered sub-lineages not only clustered genetically but also geographically. Besides showing a remarkable local restriction to certain regions in Benin and Nigeria, the sub-lineages differed dramatically in their capacity to transmit within the human host population. While identifying Benin as one of the countries with the highest overall prevalence of M. africanum, this study also contains the first detailed description of the transmission dynamics and phylogenetic composition of the MAF1 lineage.
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Affiliation(s)
- Florian Gehre
- Medical Research Council (MRC) Unit, Fajara, The Gambia
- Institute for Tropical Medicine (ITM), Antwerp, Belgium
- * E-mail:
| | | | - Frank Faïhun
- Laboratoire de Reference des Mycobacteries, Cotonou, Benin
| | - Mathieu Odoun
- Laboratoire de Reference des Mycobacteries, Cotonou, Benin
| | | | - Pim de Rijk
- Institute for Tropical Medicine (ITM), Antwerp, Belgium
| | - Bouke C. de Jong
- Medical Research Council (MRC) Unit, Fajara, The Gambia
- Institute for Tropical Medicine (ITM), Antwerp, Belgium
- New York University (NYU), New York, New York, United States of America
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21
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Santos ACB, Gaspareto RM, Viana BHJ, Mendes NH, Pandolfi JRC, Cardoso RF, Sato DN, David SCDM, Saad MHF, Rastogi N, Leite CQF. Mycobacterium tuberculosis population structure shift in a 5-year molecular epidemiology surveillance follow-up study in a low endemic agro-industrial setting in São Paulo, Brazil. Int J Mycobacteriol 2013; 2:156-65. [PMID: 26785984 DOI: 10.1016/j.ijmyco.2013.06.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Accepted: 06/30/2013] [Indexed: 10/26/2022] Open
Abstract
Starting with 257 outpatients attending the specialized health service for tuberculosis (TB) between 2002 and 2006 in Araraquara, an agro-industrial area with low tuberculosis (TB) incidence in São Paulo state, Brazil, positive mycobacterial cultures were obtained in 130 cases, of which 121 were confirmed as Mycobacterium tuberculosis complex. This report assesses the genetic diversity observed on 69.42% (n=84) of the clinical isolates, for which both spoligotyping and 12-loci MIRU typing data were fully interpretable. In order to monitor changes in the population dynamics of circulating M. tuberculosis strains over time, spoligotypes were compared from this study (n=84) with an earlier study from 1998 to 2001 (n=70 strains); and these two datasets from low-incidence Araraquara area were also compared with a 2-year cohort in the nearby higher-incidence São Paulo city area from 2006 to 2008 (n=93). The results obtained showed that with 58.3% (49/84) of the strains, the Latin-American-Mediterranean (LAM) was the predominant lineage in the present follow-up study; major patterns being SIT42/LAM9 11.9% (10/84), and SIT20/LAM1 10.7% (9/84). As compared with the 1998-2001 period when 40% (28/70) of the isolates belonged to the ill-defined T family, it was replaced by LAM strains between 2002 and 2006 with a visible shift to a population structure characteristic of the metropolitan São Paulo city. Further typing of the follow-up isolates from 2002 to 2006 using 12 loci MIRUs in conjunction with conventional epidemiology did not link this population structure shift to an increase in ongoing transmission or drug-resistance. Instead, it is most probably linked to movements of the important migrant community of Araraquara to higher TB incidence metropolitan areas such as São Paulo city. This is of particular concern owing to the increment in the global burden of LAM strains and the recent association of certain LAM sublineages with multidrug- and extensively drug-resistant TB. These observations suggest the need for further molecular monitoring of the TB population structure and the evaluation of transmission trends amongst migrant workers and other risk groups, such as persons in homeless shelters, in correctional facilities, drug users, and those with HIV infection, etc.
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Affiliation(s)
- Adolfo Carlos Barreto Santos
- Department of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University - UNESP, Araraquara, SP, Brazil
| | | | | | - Natália Helena Mendes
- Department of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University - UNESP, Araraquara, SP, Brazil
| | - José Rodrigo Cláudio Pandolfi
- Department of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University - UNESP, Araraquara, SP, Brazil
| | | | - Daisy Nakamura Sato
- Department of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University - UNESP, Araraquara, SP, Brazil
| | | | | | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, TB & Mycobacteria Unit, Institut Pasteur de la Guadeloupe, F97183 Abymes, Guadeloupe, France.
| | - Clarice Queico Fujimura Leite
- Department of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University - UNESP, Araraquara, SP, Brazil
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Li Y, Cui Y, Cui B, Yan Y, Yang X, Wang H, Qi Z, Zhang Q, Xiao X, Guo Z, Ma C, Wang J, Song Y, Yang R. Features of Variable Number of Tandem Repeats in Yersinia pestis and the Development of a Hierarchical Genotyping Scheme. PLoS One 2013; 8:e66567. [PMID: 23805236 PMCID: PMC3689786 DOI: 10.1371/journal.pone.0066567] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 05/09/2013] [Indexed: 01/14/2023] Open
Abstract
Background Variable number of tandem repeats (VNTRs) that are widely distributed in the genome of Yersinia pestis proved to be useful markers for the genotyping and source-tracing of this notorious pathogen. In this study, we probed into the features of VNTRs in the Y. pestis genome and developed a simple hierarchical genotyping system based on optimized VNTR loci. Methodology/Principal Findings Capillary electrophoresis was used in this study for multi-locus VNTR analysis (MLVA) in 956 Y. pestis strains. The general features and genetic diversities of 88 VNTR loci in Y. pestis were analyzed with BioNumerics, and a “14+12” loci-based hierarchical genotyping system, which is compatible with single nucleotide polymorphism-based phylogenic analysis, was established. Conclusions/Significance Appropriate selection of target loci reduces the impact of homoplasies caused by the rapid mutation rates of VNTR loci. The optimized “14+12” loci are highly discriminative in genotyping and source-tracing Y. pestis for molecular epidemiological or microbial forensic investigations with less time and lower cost. An MLVA genotyping datasets of representative strains will improve future research on the source-tracing and microevolution of Y. pestis.
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Affiliation(s)
- Yanjun Li
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Yujun Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Baizhong Cui
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Yanfeng Yan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xianwei Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Haidong Wang
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Zhizhen Qi
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Qingwen Zhang
- Qinghai Institute for Endemic Diseases Prevention and Control, Xining, China
| | - Xiao Xiao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhaobiao Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Cong Ma
- Laboratory Department, Navy General Hospital, Beijing, China
| | - Jing Wang
- Institute of Health Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Yajun Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (RY); (YS)
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
- * E-mail: (RY); (YS)
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