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Guyeux C, Senelle G, Le Meur A, Supply P, Gaudin C, Phelan JE, Clark TG, Rigouts L, de Jong B, Sola C, Refrégier G. Newly Identified Mycobacterium africanum Lineage 10, Central Africa. Emerg Infect Dis 2024; 30:560-563. [PMID: 38407162 PMCID: PMC10902520 DOI: 10.3201/eid3003.231466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Abstract
Analysis of genome sequencing data from >100,000 genomes of Mycobacterium tuberculosis complex using TB-Annotator software revealed a previously unknown lineage, proposed name L10, in central Africa. Phylogenetic reconstruction suggests L10 could represent a missing link in the evolutionary and geographic migration histories of M. africanum.
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Wang L, Lim DR, Phelan JE, Reyes LT, Palparan AG, Sanchez MGC, Asuncion LAA, Tujan MAA, Medado IAP, Daga CMA, Llames JHS, Mitarai S, Murase Y, Morishige Y, Ang CF, Malabad JCM, Montoya JC, Hafalla JC, Campino S, Hibberd ML, Ama CG, Basilio RP, La Paz EMCD, Clark TG. Whole genome sequencing analysis of Mycobacterium tuberculosis reveals circulating strain types and drug-resistance mutations in the Philippines. Sci Rep 2024; 14:19602. [PMID: 39179783 PMCID: PMC11344074 DOI: 10.1038/s41598-024-70471-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 08/16/2024] [Indexed: 08/26/2024] Open
Abstract
The Philippines is a high-incidence country for tuberculosis, with the increasing prevalence of multi- (MDR-TB) and extensively-drug (XDR-TB) resistant Mycobacterium tuberculosis strains posing difficulties to disease control. Understanding the genetic diversity of circulating strains can provide insights into underlying drug resistance mutations and transmission dynamics, thereby assisting the design of diagnostic tools, including those using next generation sequencing (NGS) platforms. By analysing genome sequencing data of 732 isolates from Philippines drug-resistance survey collections spanning from 2011 to 2019, we found that the majority belonged to lineages L1 (531/732; 72.5%) and L4 (European-American; n = 174; 23.8%), with the Manila strain (L1.2.1.2.1) being the most prominent (475/531). Approximately two-thirds of isolates were found to be at least MDR-TB (483/732; 66.0%), and potential XDR-TB genotypic resistance was observed (3/732; 0.4%), highlighting an emerging problem in the country. Genotypic resistance was highly concordant with laboratory drug susceptibility testing. By finding isolates with (near-)identical genomic variation, five major clusters containing a total of 114 isolates were identified: all containing either L1 or L4 isolates with at least MDR-TB resistance and spanning multiple years of collection. Closer inspection of clusters revealed transmission in prisons, some involving isolates with XDR-TB, and mutations linked to third-line drug bedaquiline. We have also identified previously unreported mutations linked to resistance for isoniazid, rifampicin, ethambutol, and fluoroquinolones. Overall, this study provides important insights into the genetic diversity, transmission and circulating drug resistance mutations of M. tuberculosis in the Philippines, thereby informing clinical and surveillance decision-making, which is increasingly using NGS platforms.
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Affiliation(s)
- Linfeng Wang
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Dodge R Lim
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Jody E Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Lorenzo T Reyes
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Alma G Palparan
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Maria Guileane C Sanchez
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Louella Abigail A Asuncion
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Ma Angelica A Tujan
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Inez Andrea P Medado
- Molecular Biology Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Chona Mae A Daga
- Department of Epidemiology and Biostatistics, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Jo-Hannah S Llames
- Philippine Genome Center, University of Philippines Diliman, Quezon City, Philippines
| | - Satoshi Mitarai
- Department of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Yoshiro Murase
- Department of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Yuta Morishige
- Department of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Concepcion F Ang
- College of Medicine, University of the Philippines, Manila, Philippines
| | - John Carlo M Malabad
- Department of Science and Technology, DOST Compound, Bicutan, Taguig City, Philippine, Philippines
| | - Jaime C Montoya
- College of Medicine, University of the Philippines, Manila, Philippines
| | - Julius C Hafalla
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Martin L Hibberd
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Cecilia G Ama
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Ramon P Basilio
- National Tuberculosis Reference Laboratory, Research Institute for Tropical Medicine, Department of Health, Filinvest, Alabang, Muntinlupa City, Philippines
| | - Eva Maria Cutiongoco-De La Paz
- Philippine Genome Center, University of Philippines Diliman, Quezon City, Philippines
- College of Medicine, University of the Philippines, Manila, Philippines
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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Chekesa B, Singh H, Gonzalez-Juarbe N, Vashee S, Wiscovitch-Russo R, Dupont CL, Girma M, Kerro O, Gumi B, Ameni G. Whole-genome sequencing-based genetic diversity, transmission dynamics, and drug-resistant mutations in Mycobacterium tuberculosis isolated from extrapulmonary tuberculosis patients in western Ethiopia. Front Public Health 2024; 12:1399731. [PMID: 39185123 PMCID: PMC11341482 DOI: 10.3389/fpubh.2024.1399731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/30/2024] [Indexed: 08/27/2024] Open
Abstract
Background Extrapulmonary tuberculosis (EPTB) refers to a form of Tuberculosis (TB) where the infection occurs outside the lungs. Despite EPTB being a devastating disease of public health concern, it is frequently overlooked as a public health problem. This study aimed to investigate genetic diversity, identify drug-resistance mutations, and trace ongoing transmission chains. Methods A cross-sectional study was undertaken on individuals with EPTB in western Ethiopia. In this study, whole-genome sequencing (WGS) was employed to analyze Mycobacterium tuberculosis (MTB) samples obtained from EPTB patients. Out of the 96 genomes initially sequenced, 89 met the required quality standards for genetic diversity, and drug-resistant mutations analysis. The data were processed using robust bioinformatics tools. Results Our analysis reveals that the majority (87.64%) of the isolates can be attributed to Lineage-4 (L4), with L4.6.3 and L4.2.2.2 emerging as the predominant sub-lineages, constituting 34.62% and 26.92%, respectively. The overall clustering rate and recent transmission index (RTI) were 30 and 17.24%, respectively. Notably, 7.87% of the isolates demonstrated resistance to at least one anti-TB drug, although multi-drug resistance (MDR) was observed in only 1.12% of the isolates. Conclusions The genetic diversity of MTBC strains in western Ethiopia was found to have low inter-lineage diversity, with L4 predominating and exhibiting high intra-lineage diversity. The notably high clustering rate in the region implies a pressing need for enhanced TB infection control measures to effectively disrupt the transmission chain. It's noteworthy that 68.75% of resistance-conferring mutations went undetected by both GeneXpert MTB/RIF and the line probe assay (LPA) in western Ethiopia. The identification of resistance mutations undetected by both GeneXpert and LPA, along with the detection of mixed infections through WGS, emphasizes the value of adopting WGS as a high-resolution approach for TB diagnosis and molecular epidemiological surveillance.
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Affiliation(s)
- Basha Chekesa
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Collage of Natural and Computational Science, Wallaga University, Nekemte, Ethiopia
| | - Harinder Singh
- Infectious Diseases, Genomic Medicine, and Synthetic Biology Group, J. Craig Venter Institute, Rockville, MD, United States
| | - Norberto Gonzalez-Juarbe
- Infectious Diseases, Genomic Medicine, and Synthetic Biology Group, J. Craig Venter Institute, Rockville, MD, United States
| | - Sanjay Vashee
- Infectious Diseases, Genomic Medicine, and Synthetic Biology Group, J. Craig Venter Institute, Rockville, MD, United States
| | - Rosana Wiscovitch-Russo
- Infectious Diseases, Genomic Medicine, and Synthetic Biology Group, J. Craig Venter Institute, Rockville, MD, United States
| | - Christopher L. Dupont
- Genomic Medicine, Environment & Sustainability, and Synthetic Biology groups, J. Craig Venter Institute, La Jolla, CA, United States
| | - Musse Girma
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Oudessa Kerro
- Institute of Agriculture, The University of Tennessee, Knoxville, TN, United States
| | - Balako Gumi
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Gobena Ameni
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, United Arab Emirates
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Zhang Y, Chen P, Yu T, Yu Y, Yan X, Chu J, Yang G. Can Ultrasound Evaluation of Lymph Node Size and Necrosis Rate Predict Chemotherapy Response in Cervical Tuberculous Lymphadenitis? Infect Drug Resist 2024; 17:3073-3079. [PMID: 39050830 PMCID: PMC11268562 DOI: 10.2147/idr.s467827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 07/11/2024] [Indexed: 07/27/2024] Open
Abstract
Purpose To explore the relationship between the initial size and the necrotic rate of lymph nodes evaluated by ultrasound in patients with cervical tuberculous lymphadenitis (CTL) and therapeutic response. Methods Overall, 55 patients were included in this study. Conventional ultrasound and contrast-enhanced ultrasound examination were performed before anti-tuberculosis chemotherapy. Based on the different therapeutic outcomes, they were divided into responder groups (n = 39) and non-responder groups (n = 16). The relationship between the initial size (maximum area, length diameter, short diameter), rate of necrosis, and therapeutic response were compared and analyzed between two groups. Results There was a significant difference in maximum area, short diameter and rate of necrosis of lymph nodes between the responder groups and the non-responder groups (P < 0.05). The receiver-operating-characteristic (ROC) curve analysis was used to differentiate the two groups, it showed that the area under the curve was 0.746 for maximum area and 0.721 for short diameter, respectively. The cut-off value for the lymph node maximum area and short diameter based on ROC curve analysis was determined as 3.94cm2 (sensitivity 76.9%, specificity 68.7%) and 1.15cm (sensitivity 59.0%, specificity 93.7%), respectively. A negative correlation was observed between maximum area, short diameter, and therapeutic response. Conclusion The initial maximum area and short diameter of lymph nodes were found to have a negative correlation with chemotherapy response in patients with CTL. The treatment outcomes are typically unsatisfactory for lymph nodes exhibiting an initial necrosis rate of 50% or higher. These findings may be helpful for evaluating therapeutic response.
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Affiliation(s)
- Ying Zhang
- Department of Ultrasonography, Hangzhou Red Cross Hospital (Zhejiang Tuberculosis Diagnosis and Treatment Center), Hangzhou, Zhejiang, People’s Republic of China
| | - Peijun Chen
- Department of Ultrasonography, Hangzhou Red Cross Hospital (Zhejiang Tuberculosis Diagnosis and Treatment Center), Hangzhou, Zhejiang, People’s Republic of China
| | - Tianzhuo Yu
- Department of Ultrasonography, Hangzhou Red Cross Hospital (Zhejiang Tuberculosis Diagnosis and Treatment Center), Hangzhou, Zhejiang, People’s Republic of China
| | - Yuehui Yu
- Division of Health Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, People’s Republic of China
| | - Xinyi Yan
- Division of Health Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, People’s Republic of China
| | - Jie Chu
- Department of Ultrasonography, Hangzhou Red Cross Hospital (Zhejiang Tuberculosis Diagnosis and Treatment Center), Hangzhou, Zhejiang, People’s Republic of China
| | - Gaoyi Yang
- Department of Ultrasonography, Hangzhou First People’s Hospital, Hangzhou, Zhejiang, People’s Republic of China
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Bainomugisa A, Pandey S, O'Connor B, Syrmis M, Whiley D, Sintchenko V, Coin LJ, Marais BJ, Coulter C. Sustained transmission over two decades of a previously unrecognised MPT64 negative Mycobacterium tuberculosis strain in Queensland, Australia: a whole genome sequencing study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 47:101105. [PMID: 39022748 PMCID: PMC11253042 DOI: 10.1016/j.lanwpc.2024.101105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/09/2024] [Accepted: 05/16/2024] [Indexed: 07/20/2024]
Abstract
Background MPT64 is a key protein used for Mycobacterium tuberculosis (MTB) complex strain identification. We describe protracted transmission of an MPT64 negative MTB strain in Queensland, Australia, and explore genomic factors related to its successful spread. Methods All MPT64 negative strains identified between 2002 and 2022 by the Queensland Mycobacteria Reference Laboratory, and an additional 2 isolates from New South Wales (NSW), were whole genome sequenced. Bayesian modelling and phylogeographical analyses were used to assess their evolutionary history and transmission dynamics. Protein structural modelling to understand the putative functional effects of the mutated gene coding for MPT64 protein was performed. Findings Forty-three MPT64 negative isolates were sequenced, belonging to a single MTB cluster of Lineage 4.1.1.1 strains. Combined with a UK dataset of the same lineage, molecular dating estimated 1990 (95% HPD 1987-1993) as the likely time of strain introduction into Australia. Although the strain has spread over a wide geographic area and new cases linked to the cluster continue to arise, phylodynamic analysis suggest the outbreak peaked around 2003. All MPT64 negative strains had a frame shift mutation (delAT, p.Val216fs) within the MPT64 gene, which confers two major structural rearrangements at the C-terminus of the protein. Interpretation This study uncovered the origins of an MPT64 negative MTB outbreak in Australia, providing a richer understanding of its biology and transmission dynamics, as well as guidance for clinical diagnosis and public health action. The potential spread of MPT64 negative strains undermines the diagnostic utility of the MPT64 immunochromatographic test. Funding This study was funded from an operational budget provided to the Queensland Mycobacterium Reference Laboratory by Pathology Queensland, Queensland Department of Health.
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Affiliation(s)
- Arnold Bainomugisa
- Queensland Mycobacterium Reference Laboratory, Brisbane, Queensland, Australia
| | - Sushil Pandey
- Queensland Mycobacterium Reference Laboratory, Brisbane, Queensland, Australia
| | - Bridget O'Connor
- Public Health Intelligence Branch, Department of Health, Brisbane, Queensland, Australia
| | - Melanie Syrmis
- Queensland Mycobacterium Reference Laboratory, Brisbane, Queensland, Australia
| | - David Whiley
- University of Queensland Centre for Clinical Research, Brisbane, Queensland, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia
- NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
| | - Lachlan J.M. Coin
- Department of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
| | - Ben J. Marais
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia
- Sydney Infectious Diseases Institute (Sydney ID), The University of Sydney, Sydney, New South Wales, Australia
| | - Christopher Coulter
- Queensland Mycobacterium Reference Laboratory, Brisbane, Queensland, Australia
- Communicable Diseases Branch, Department of Health, Brisbane, Queensland, Australia
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Mokrousov I. Origin and dispersal of the Mycobacterium tuberculosis Haarlem genotype: Clues from its phylogeographic landscape and human migration. Mol Phylogenet Evol 2024; 195:108045. [PMID: 38447923 DOI: 10.1016/j.ympev.2024.108045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 01/04/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
The Haarlem family belongs to the Euro-American phylogenetic lineage of Mycobacterium tuberculosis and is one of the globally spread genotypes of this important human pathogen. In spite of the sporadic observations on drug resistance and peculiar virulence profile, Haarlem remains in the shade of other M. tuberculosis genotypes. I analyzed genotyping data of the Haarlem genotype in light of its pathogenic properties and relevant human migration, to gain insight into its origin, evolutionary history, and current spread. Central Europe is marked with a very high prevalence of both major Haarlem subclades ancestral H3/SIT50 and derived H1, jointly making 33-41% in Czechia, Austria, and Hungary. There is a declining gradient of Haarlem beyond central Europe with 10-18% in Italy, France, Belgium, 10-13% in the Balkan countries and Turkey. Placing the available genetic diversity and ancient DNA data within the historical context, I hypothesize that M. tuberculosis Haarlem genotype likely originated in Central Europe and its primary long-term circulation occurred within the area of the former Austria/Austria-Hungary Empire in the 14th-19th centuries. The genotype is not highly transmissible and its spread was driven by long-term human migration. The European colonial expansion (when accompanied by a sufficient volume of migration) was a vehicle of its secondary dissemination. I conclude that human migration and its lack thereof (but not strain pathobiology) was a major driving force that shaped the population structure of this global lineage of M. tuberculosis. At the same time, Haarlem strains appear over-represented in some ethnic groups which warrants in-depth experimental research.
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Affiliation(s)
- Igor Mokrousov
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg 197101, Russia; Henan International Joint Laboratory of Children's Infectious Diseases, Henan Children's Hospital, Children's Hospital, Zhengzhou University, Zhengzhou Children's Hospital, Zhengzhou, China.
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Hurtado J, Bentancor MN, Laserra P, Coitinho C, Greif G. Specific Mycobacterium tuberculosis Strain Circulating in Prison Revealed by Cost-Effective Amplicon Sequencing. Microorganisms 2024; 12:999. [PMID: 38792828 PMCID: PMC11123834 DOI: 10.3390/microorganisms12050999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/25/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
This scientific study focuses on tuberculosis (TB) within prison settings, where persons deprived of liberty (PDL) face significantly higher rates of the disease compared to the general population. The research employs the low-cost amplicon sequencing of Mycobacterium tuberculosis strains, aiming first to identify specific lineages and also to detect mutations associated with drug resistance. The method involves multiplex amplification, DNA extraction, and sequencing, providing valuable insights into TB dynamics and resistance-mutation profiles within the prison system at an affordable cost. The study identifies a characteristic lineage (X) circulating among PDLs in the penitentiary system in Uruguay, absent in the general population, and notes its prevalence at prison entry. No high-confidence mutations associated with drug resistance were found. The findings underscore the importance of molecular epidemiology in TB control, emphasizing the potential for intra-prison transmissions and the need for broader studies to understand strain dynamics.
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Affiliation(s)
- Joaquín Hurtado
- Laboratorio de Evolución Experimental de Virus, Institut Pasteur Montevideo (IPM), Montevideo 11400, Uruguay;
| | - María Noel Bentancor
- Comisión Honoraria de Lucha Anti-Tuberculosa y Enferemedades Prevalentes, Montevideo 11200, Uruguay; (M.N.B.); (P.L.); (C.C.)
| | - Paula Laserra
- Comisión Honoraria de Lucha Anti-Tuberculosa y Enferemedades Prevalentes, Montevideo 11200, Uruguay; (M.N.B.); (P.L.); (C.C.)
| | - Cecilia Coitinho
- Comisión Honoraria de Lucha Anti-Tuberculosa y Enferemedades Prevalentes, Montevideo 11200, Uruguay; (M.N.B.); (P.L.); (C.C.)
| | - Gonzalo Greif
- Laboratorio de Interacciones Hospedero-Patógeno, Institut Pasteur de Montevideo, Montevideo 11400, Uruguay
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Kim D, Shin JI, Yoo IY, Jo S, Chu J, Cho WY, Shin SH, Chung YJ, Park YJ, Jung SH. GenoMycAnalyzer: a web-based tool for species and drug resistance prediction for Mycobacterium genomes. BMC Genomics 2024; 25:387. [PMID: 38643090 PMCID: PMC11031912 DOI: 10.1186/s12864-024-10320-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 04/17/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Drug-resistant tuberculosis (TB) is a major threat to global public health. Whole-genome sequencing (WGS) is a useful tool for species identification and drug resistance prediction, and many clinical laboratories are transitioning to WGS as a routine diagnostic tool. However, user-friendly and high-confidence automated bioinformatics tools are needed to rapidly identify M. tuberculosis complex (MTBC) and non-tuberculous mycobacteria (NTM), detect drug resistance, and further guide treatment options. RESULTS We developed GenoMycAnalyzer, a web-based software that integrates functions for identifying MTBC and NTM species, lineage and spoligotype prediction, variant calling, annotation, drug-resistance determination, and data visualization. The accuracy of GenoMycAnalyzer for genotypic drug susceptibility testing (gDST) was evaluated using 5,473 MTBC isolates that underwent phenotypic DST (pDST). The GenoMycAnalyzer database was built to predict the gDST for 15 antituberculosis drugs using the World Health Organization mutational catalogue. Compared to pDST, the sensitivity of drug susceptibilities by the GenoMycAnalyzer for first-line drugs ranged from 95.9% for rifampicin (95% CI 94.8-96.7%) to 79.6% for pyrazinamide (95% CI 76.9-82.2%), whereas those for second-line drugs ranged from 98.2% for levofloxacin (95% CI 90.1-100.0%) to 74.9% for capreomycin (95% CI 69.3-80.0%). Notably, the integration of large deletions of the four resistance-conferring genes increased gDST sensitivity. The specificity of drug susceptibilities by the GenoMycAnalyzer ranged from 98.7% for amikacin (95% CI 97.8-99.3%) to 79.5% for ethionamide (95% CI 76.4-82.3%). The incorporated Kraken2 software identified 1,284 mycobacterial species with an accuracy of 98.8%. GenoMycAnalyzer also perfectly predicted lineages for 1,935 MTBC and spoligotypes for 54 MTBC. CONCLUSIONS GenoMycAnalyzer offers both web-based and graphical user interfaces, which can help biologists with limited access to high-performance computing systems or limited bioinformatics skills. By streamlining the interpretation of WGS data, the GenoMycAnalyzer has the potential to significantly impact TB management and contribute to global efforts to combat this infectious disease. GenoMycAnalyzer is available at http://www.mycochase.org .
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Affiliation(s)
- Doyoung Kim
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong-Ih Shin
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Integrated Research Center for Genomic Polymorphism, Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - In Young Yoo
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sungjin Jo
- Department of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jiyon Chu
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | | | - Yeun-Jun Chung
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Integrated Research Center for Genomic Polymorphism, Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Departments of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yeon-Joon Park
- Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung-Hyun Jung
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.
- Integrated Research Center for Genomic Polymorphism, Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea.
- Departments of Biochemistry, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seoch-Gu, Seoul, 06591, Republic of Korea.
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Deng L, Wang Q, Liu H, Jiang Y, Xu M, Xiang Y, Yang T, Yang S, Yan D, Li M, Zhao L, Zhao X, Wan K, He G, Mijiti X, Li G. Identification of positively selected genes in Mycobacterium tuberculosis from southern Xinjiang Uygur autonomous region of China. Front Microbiol 2024; 15:1290227. [PMID: 38686109 PMCID: PMC11056549 DOI: 10.3389/fmicb.2024.1290227] [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: 09/07/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Background Tuberculosis (TB), mainly caused by Mycobacterium tuberculosis (Mtb), remains a serious public health problem. Increasing evidence supports that selective evolution is an important force affecting genomic determinants of Mtb phenotypes. It is necessary to further understand the Mtb selective evolution and identify the positively selected genes that probably drive the phenotype of Mtb. Methods This study mainly focused on the positive selection of 807 Mtb strains from Southern Xinjiang of China using whole genome sequencing (WGS). PAML software was used for identifying the genes and sites under positive selection in 807 Mtb strains. Results Lineage 2 (62.70%) strains were the dominant strains in this area, followed by lineage 3 (19.45%) and lineage 4 (17.84%) strains. There were 239 codons in 47 genes under positive selection, and the genes were majorly associated with the functions of transcription, defense mechanisms, and cell wall/membrane/envelope biogenesis. There were 28 codons (43 mutations) in eight genes (gyrA, rpoB, rpoC, katG, pncA, embB, gid, and cut1) under positive selection in multi-drug resistance (MDR) strains but not in drug-susceptible (DS) strains, in which 27 mutations were drug-resistant loci, 9 mutations were non-drug-resistant loci but were in drug-resistant genes, 2 mutations were compensatory mutations, and 5 mutations were in unknown drug-resistant gene of cut1. There was a codon in Rv0336 under positive selection in L3 strains but not in L2 and L4 strains. The epitopes of T and B cells were both hyper-conserved, particularly in the T-cell epitopes. Conclusion This study revealed the ongoing selective evolution of Mtb. We found some special genes and sites under positive selection which may contribute to the advantage of MDR and L3 strains. It is necessary to further study these mutations to understand their impact on phenotypes for providing more useful information to develop new TB interventions.
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Affiliation(s)
- Lele Deng
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Quan Wang
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haican Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Jiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Miao Xu
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Xiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, University of South China, Hengyang, China
| | - Ting Yang
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Shuliu Yang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, University of South China, Hengyang, China
| | - Di Yan
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Machao Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lili Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiuqin Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kanglin Wan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guangxue He
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaokaiti Mijiti
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Guilian Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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10
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Rukmana A, Gozali C, Erlina L. Mycobacterium tuberculosis Lineage Distribution Using Whole-Genome Sequencing and Bedaquiline, Clofazimine, and Linezolid Phenotypic Profiles among Rifampicin-Resistant Isolates from West Java, Indonesia. Int J Microbiol 2024; 2024:2037961. [PMID: 38469390 PMCID: PMC10927343 DOI: 10.1155/2024/2037961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/03/2024] [Accepted: 02/22/2024] [Indexed: 03/13/2024] Open
Abstract
Tuberculosis (TB) is caused by Mycobacterium tuberculosis infection. Indonesia is ranked second in the world for TB cases. New anti-TB drugs from groups A and B, such as bedaquiline, clofazimine, and linezolid, have been shown to be effective in curing drug resistance in TB patients, and Indonesia is already using these drugs to treat patients. However, studies comparing the TB strain types with anti-TB resistance profiles are still relevant to understanding the prevalent strains in the country and their phenotypic characteristics. This study aimed to determine the association between the TB lineage distribution using whole-genome sequencing and bedaquiline, clofazimine, and linezolid phenotypic profile resistance among M. tuberculosisrifampicin-resistant isolates from West Java. M. tuberculosis isolates stock of the Department of Microbiology, Faculty of Medicine, Universitas Indonesia, was tested against bedaquiline, clofazimine, and linezolid using a mycobacteria growth indicator tube liquid culture. All isolates were tested for M. tuberculosis and rifampicin resistance using Xpert MTB/RIF. The DNA genome of M. tuberculosis was freshly extracted from a Löwenstein-Jensen medium culture and then sequenced. The isolates showed phenotypically resistance to bedaquiline, clofazimine, and linezolid at 5%, 0%, and 0%, respectively. We identified gene mutations on phenotypically bedaquiline-resistant strains (2/3), and other mutations also found in phenotypically drug-sensitive strains. Mykrobe analysis showed that most (88.33%) of the isolates could be classified as rifampicin-resistant TB. Using Mykrobe and TB-Profiler to determine the lineage distribution, the isolates were found to belong to lineage 4 (Euro-American; 48.33%), lineage 2 (East Asian/Beijing; 46.67%), and lineage 1 (Indo-Oceanic; 5%). This work underlines the requirement to increase the representation of genotype-phenotype TB data while also highlighting the importance and efficacy of WGS in predicting medication resistance and inferring disease transmission.
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Affiliation(s)
- Andriansjah Rukmana
- Department of Microbiology, Faculty of Medicine, Universitas Indonesia, Jakarta 10320, Indonesia
| | - Cynthia Gozali
- Master Programme of Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia
| | - Linda Erlina
- Department of Medical Chemistry, Faculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia
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11
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Thorpe J, Sawaengdee W, Ward D, Campos M, Wichukchinda N, Chaiyasirinroje B, Thanraka A, Chumpol J, Phelan JE, Campino S, Mahasirimongkol S, Clark TG. Multi-platform whole genome sequencing for tuberculosis clinical and surveillance applications. Sci Rep 2024; 14:5201. [PMID: 38431684 PMCID: PMC10908857 DOI: 10.1038/s41598-024-55865-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/28/2024] [Indexed: 03/05/2024] Open
Abstract
Whole genome sequencing (WGS) of Mycobacterium tuberculosis offers valuable insights for tuberculosis (TB) control. High throughput platforms like Illumina and Oxford Nanopore Technology (ONT) are increasingly used globally, although ONT is known for higher error rates and is less established for genomic studies. Here we present a study comparing the sequencing outputs of both Illumina and ONT platforms, analysing DNA from 59 clinical isolates in highly endemic TB regions of Thailand. The resulting sequence data were used to profile the M. tuberculosis pairs for their lineage, drug resistance and presence in transmission chains, and were compared to publicly available WGS data from Thailand (n = 1456). Our results revealed isolates that are predominantly from lineages 1 and 2, with consistent drug resistance profiles, including six multidrug-resistant strains; however, analysis of ONT data showed longer phylogenetic branches, emphasising the technologies higher error rate. An analysis incorporating the larger dataset identified fifteen of our samples within six potential transmission clusters, including a significant clade of 41 multi-drug resistant isolates. ONT's extended sequences also revealed strain-specific structural variants in pe/ppe genes (e.g. ppe50), which are candidate loci for vaccine development. Despite some limitations, our results show that ONT sequencing is a promising approach for TB genomic research, supporting precision medicine and decision-making in areas with less developed infrastructure, which is crucial for tackling the disease's significant regional burden.
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Affiliation(s)
- Joseph Thorpe
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Waritta Sawaengdee
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | - Daniel Ward
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Monica Campos
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Nuanjun Wichukchinda
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | | | - Aungkana Thanraka
- Department of Medical Technology, Chiangrai Prachanukroh Hospital, Chiang Rai, 57000, Thailand
| | - Jaluporn Chumpol
- The Office of Disease Prevention and Control 7, Khon Kaen, 40000, Thailand
| | - Jody E Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Surakameth Mahasirimongkol
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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12
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Dokladda K, Billamas P, Jaitrong S, Suwanakitti N, Phornsiricharoenphant W, Viratyosin W, Prammananan T. Whole genome sequencing reveals candidate genes involving in PAS resistance in M. Tuberculosis isolated from patients in Thailand. World J Microbiol Biotechnol 2023; 40:32. [PMID: 38057660 DOI: 10.1007/s11274-023-03834-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/10/2023] [Indexed: 12/08/2023]
Abstract
Para-amino salicylic acid (PAS) was first reported by Lehmann in 1946 and used for tuberculosis treatment. However, due to its adverse effects, it is now used only as a second line anti-tuberculosis drug for treatment of multidrug resistant or extensively drug resistant M. tuberculosis. The structure of PAS is similar to para-amino benzoic acid (pABA), an intermediate metabolite in the folate synthesis pathway. The study has identified mutations in genes in folate pathway and their intergenic regions for their possibilities in responsible for PAS resistance. Genomic DNA from 120 PAS-resistant and 49 PAS-sensitive M. tuberculosis isolated from tuberculosis patients in Thailand were studied by whole genome sequencing. Twelve genes in the folate synthesis pathway were investigated for variants associated with PAS resistance. Fifty-one SNVs were found in nine genes and their intergenic regions (pabC, pabB, folC, ribD, thyX, dfrA, thyA, folK, folP). Functional correlation test confirmed mutations in RibD, ThyX, and ThyA are responsible for PAS resistance. Detection of mutation in thyA, folC, intergenic regions of thyX, ribD, and double deletion of thyA dfrA are proposed for determination of PAS resistant M. tuberculosis.
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Affiliation(s)
- Kanchana Dokladda
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand.
| | - Pamaree Billamas
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Sarinya Jaitrong
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Nattida Suwanakitti
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Worawich Phornsiricharoenphant
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Wasna Viratyosin
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
| | - Therdsak Prammananan
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, 111 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
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13
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Morey-León G, Mejía-Ponce PM, Granda Pardo JC, Muñoz-Mawyin K, Fernández-Cadena JC, García-Moreira E, Andrade-Molina D, Licona-Cassani C, Berná L. A precision overview of genomic resistance screening in Ecuadorian isolates of Mycobacterium tuberculosis using web-based bioinformatics tools. PLoS One 2023; 18:e0294670. [PMID: 38051742 DOI: 10.1371/journal.pone.0294670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
INTRODUCTION Tuberculosis (TB) is among the deadliest diseases worldwide, and its impact is mainly due to the continuous emergence of resistant isolates during treatment due to the laborious process of resistance diagnosis, nonadherence to treatment and circulation of previously resistant isolates of Mycobacterium tuberculosis. In this study, we evaluated the performance and functionalities of web-based tools, including Mykrobe, TB-profiler, PhyResSE, KvarQ, and SAM-TB, for detecting resistance in 88 Ecuadorian isolates of Mycobacterium tuberculosis drug susceptibility tested previously. Statistical analysis was used to determine the correlation between genomic and phenotypic analysis. Our results showed that with the exception of KvarQ, all tools had the highest correlation with the conventional drug susceptibility test (DST) for global resistance detection (98% agreement and 0.941 Cohen's kappa), while SAM-TB, PhyResSE, TB-profiler and Mykrobe had better correlations with DST for first-line drug analysis individually. We also identified that in our study, only 50% of mutations characterized by the web-based tools in the rpoB, katG, embB, pncA, gyrA and rrs regions were canonical and included in the World Health Organization (WHO) catalogue. Our findings suggest that SAM-TB, PhyResSE, TB-profiler and Mykrobe were efficient in determining canonical resistance-related mutations, but more analysis is needed to improve second-line detection. Improving surveillance programs using whole-genome sequencing tools for first-line drugs, MDR-TB and XDR-TB is essential to understand the molecular epidemiology of TB in Ecuador. IMPORTANCE Tuberculosis, an infectious disease caused by Mycobacterium tuberculosis, most commonly affects the lungs and is often spread through the air when infected people cough, sneeze, or spit. However, despite the existence of effective drug treatment, patient adherence, long duration of treatment, and late diagnosis have reduced the effectiveness of therapy and increased drug resistance. The increase in resistant cases, added to the impact of the COVID-19 pandemic, has highlighted the importance of implementing efficient and timely diagnostic methodologies worldwide. The significance of our research is in evaluating and identifying a more efficient and user-friendly web-based tool to characterize resistance in Mycobacterium tuberculosis by whole-genome sequencing, which will allow more routine application to improve TB strain surveillance programs locally.
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Affiliation(s)
- Gabriel Morey-León
- Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
- Universidad de la República, Montevideo, Uruguay
- University of Guayaquil, Guayaquil, Ecuador
| | - Paulina M Mejía-Ponce
- Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey, Nuevo León, México
| | - Juan Carlos Granda Pardo
- Centro de Referencia Nacional de Micobacterias, Instituto Nacional de Investigación en Salud Pública Dr Leopoldo Izquieta Perez, INSPI-LIP, Guayaquil, Ecuador
| | - Karen Muñoz-Mawyin
- Laboratorio de Ciencias Ómicas, Universidad Espíritu Santo, Samborondón, Ecuador
| | | | | | - Derly Andrade-Molina
- Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador
- Laboratorio de Ciencias Ómicas, Universidad Espíritu Santo, Samborondón, Ecuador
| | | | - Luisa Berná
- Laboratorio de Interacciones Hospedero-Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Unidad de Genómica Evolutiva, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
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14
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Senelle G, Sahal MR, La K, Billard-Pomares T, Marin J, Mougari F, Bridier-Nahmias A, Carbonnelle E, Cambau E, Refrégier G, Guyeux C, Sola C. Towards the reconstruction of a global TB history using a new pipeline "TB-Annotator". Tuberculosis (Edinb) 2023; 143S:102376. [PMID: 38012933 DOI: 10.1016/j.tube.2023.102376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/03/2023] [Accepted: 07/10/2023] [Indexed: 11/29/2023]
Abstract
Mycobacterium tuberculosis complex (MTBC) has a population structure consisting of 9 human and animal lineages. The genomic diversity within these lineages is a pathogenesis factor that affects virulence, transmissibility, host response, and antibiotic resistance. Hence it is important to develop improved information systems for tracking and understanding the spreading and evolution of genomes. We present results obtained thanks to a new informatics platform for computational biology of MTBC, that uses a convenience sample from public/private SRAs, designated as TB-Annotator. Version 1 was a first interactive graphic-based web tool based on 15,901 representative genomes. Version 2, still interactive, is a more sophisticated database, developed using the Snakemake Workflow Management System (WMS) that allows an unsupervised global and scalable analysis of the content of the USA National Center for Biotechnology Information Short Read Archives database. This platform analyzes nucleotide variants, the presence/absence of genes, known regions of difference and detect new deletions, the insertion sites of mobile genetic elements, and allows phylogenetic trees to be built, imported in a graphical interface and interactively analyzed between the data and the tree. The objective of TB-Annotator is triple: detect recent epidemiological links, reconstruct distant phylogeographical histories as well as perform more complex phenotypic/genotypic Genome-Wide Association Studies (GWAS). In this paper, we compare the various taxonomic SNPs-based labels and hierarchies previously described in recent reference papers for L1, and present a comparative analysis that allows identification of alias and thus provides the basis of a future unifying naming scheme for L1 sublineages. We present a global phylogenetic tree built with RAxML-NG, and one on L2; at the time of writing, we characterized about 200 sublineages, with many new ones; a detail tree for Modern L2 and a hierarchical scheme allowing to facilitate L2 lineage assignment are also presented.
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Affiliation(s)
- Gaetan Senelle
- FEMTO-ST Institute, UMR 6174, CNRS-Université Bourgogne Franche-Comté (UBFC), France
| | - Muhammed Rabiu Sahal
- Université Paris-Saclay, 91190, Gif-sur-Yvette, France; Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France
| | - Kevin La
- Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France; AP-HP, GHU Nord site Bichat, Service de mycobactériologie spécialisée et de référence, Paris, France
| | - Typhaine Billard-Pomares
- Service de microbiologie clinique, Hôpital Avicenne, 93017, Bobigny, France; Université Paris 13, IAME, Inserm, 93017, Bobigny, France
| | - Julie Marin
- Service de microbiologie clinique, Hôpital Avicenne, 93017, Bobigny, France; Université Paris 13, IAME, Inserm, 93017, Bobigny, France
| | - Faiza Mougari
- Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France; AP-HP, GHU Nord site Bichat, Service de mycobactériologie spécialisée et de référence, Paris, France
| | | | - Etienne Carbonnelle
- Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France; Service de microbiologie clinique, Hôpital Avicenne, 93017, Bobigny, France; Université Paris 13, IAME, Inserm, 93017, Bobigny, France
| | - Emmanuelle Cambau
- Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France; AP-HP, GHU Nord site Bichat, Service de mycobactériologie spécialisée et de référence, Paris, France
| | - Guislaine Refrégier
- Université Paris-Saclay, 91190, Gif-sur-Yvette, France; Ecologie Systématique Evolution, Université Paris-Saclay, CNRS, AgroParisTech, UMR ESE, 91405, Orsay, France
| | - Christophe Guyeux
- FEMTO-ST Institute, UMR 6174, CNRS-Université Bourgogne Franche-Comté (UBFC), France
| | - Christophe Sola
- Université Paris-Saclay, 91190, Gif-sur-Yvette, France; Université Paris-Cité, IAME, UMR 1137, INSERM, Paris, France.
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15
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Rahlwes KC, Dias BR, Campos PC, Alvarez-Arguedas S, Shiloh MU. Pathogenicity and virulence of Mycobacterium tuberculosis. Virulence 2023; 14:2150449. [PMID: 36419223 PMCID: PMC9817126 DOI: 10.1080/21505594.2022.2150449] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis, an infectious disease with one of the highest morbidity and mortality rates worldwide. Leveraging its highly evolved repertoire of non-protein and protein virulence factors, Mtb invades through the airway, subverts host immunity, establishes its survival niche, and ultimately escapes in the setting of active disease to initiate another round of infection in a naive host. In this review, we will provide a concise synopsis of the infectious life cycle of Mtb and its clinical and epidemiologic significance. We will also take stock of its virulence factors and pathogenic mechanisms that modulate host immunity and facilitate its spread. Developing a greater understanding of the interface between Mtb virulence factors and host defences will enable progress toward improved vaccines and therapeutics to prevent and treat tuberculosis.
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Affiliation(s)
- Kathryn C. Rahlwes
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Beatriz R.S. Dias
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Priscila C. Campos
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Samuel Alvarez-Arguedas
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Michael U. Shiloh
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA,Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA,CONTACT Michael U. Shiloh
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16
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Islam MR, Sharma MK, KhunKhun R, Shandro C, Sekirov I, Tyrrell GJ, Soualhine H. Whole genome sequencing-based identification of human tuberculosis caused by animal-lineage Mycobacterium orygis. J Clin Microbiol 2023; 61:e0026023. [PMID: 37877705 PMCID: PMC10662373 DOI: 10.1128/jcm.00260-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/11/2023] [Indexed: 10/26/2023] Open
Abstract
A recently described member of the Mycobacterium tuberculosis complex (MTBC) is Mycobacterium orygis, which can cause disease primarily in animals but also in humans. Although M. orygis has been reported from different geographic regions around the world, due to a lack of proper identification techniques, the contribution of this emerging pathogen to the global burden of zoonotic tuberculosis is not fully understood. In the present work, we report single nucleotide polymorphism (SNP) analysis using whole genome sequencing (WGS) that can accurately identify M. orygis and differentiate it from other members of the MTBC species. WGS-based SNP analysis was performed for 61 isolates from different provinces in Canada that were identified as M. orygis. A total of 56 M. orygis sequences from the public databases were also included in the analysis. Several unique SNPs in the gyrB, PPE55, Rv2042c, leuS, mmpL6, and mmpS6 genes were used to determine their effectiveness as genetic markers for the identification of M. orygis. To the best of our knowledge, five of these SNPs, viz., gyrB 277 (A→G), gyrB 1478 (T→C), leuS 1064 (A→T), mmpL6 486 (T→C), and mmpS6 334 (C→G), are reported for the first time in this study. Our results also revealed several SNPs specific to other species within MTBC. The phylogenetic analysis shows that the studied genomes were genetically diverse and clustered with M. orygis sequences of human and animal origin reported from different geographic locations. Therefore, the present study provides a new insight into the high-confidence identification of M. orygis from MTBC species based on WGS data, which can be useful for reference and diagnostic laboratories.
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Affiliation(s)
- Md Rashedul Islam
- National Reference Centre for Mycobacteriology, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Meenu K. Sharma
- National Reference Centre for Mycobacteriology, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rupinder KhunKhun
- BC Center for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Cary Shandro
- Provincial Laboratory for Public Health, Alberta Precision Labs, Edmonton, Alberta, Canada
| | - Inna Sekirov
- BC Center for Disease Control Public Health Laboratory, Vancouver, British Columbia, Canada
| | - Gregory J. Tyrrell
- Provincial Laboratory for Public Health, Alberta Precision Labs, Edmonton, Alberta, Canada
| | - Hafid Soualhine
- National Reference Centre for Mycobacteriology, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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17
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Phelan JE, Turkiewicz A, Manko E, Thorpe J, Vanheer LN, van de Vegte-Bolmer M, Ngoc NTH, Binh NTH, Thieu NQ, Gitaka J, Nolder D, Beshir KB, Dombrowski JG, Di Santi SM, Bousema T, Sutherland CJ, Campino S, Clark TG. Rapid profiling of Plasmodium parasites from genome sequences to assist malaria control. Genome Med 2023; 15:96. [PMID: 37950308 PMCID: PMC10636944 DOI: 10.1186/s13073-023-01247-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Malaria continues to be a major threat to global public health. Whole genome sequencing (WGS) of the underlying Plasmodium parasites has provided insights into the genomic epidemiology of malaria. Genome sequencing is rapidly gaining traction as a diagnostic and surveillance tool for clinical settings, where the profiling of co-infections, identification of imported malaria parasites, and detection of drug resistance are crucial for infection control and disease elimination. To support this informatically, we have developed the Malaria-Profiler tool, which rapidly (within minutes) predicts Plasmodium species, geographical source, and resistance to antimalarial drugs directly from WGS data. RESULTS The online and command line versions of Malaria-Profiler detect ~ 250 markers from genome sequences covering Plasmodium speciation, likely geographical source, and resistance to chloroquine, sulfadoxine-pyrimethamine (SP), and other anti-malarial drugs for P. falciparum, but also providing mutations for orthologous resistance genes in other species. The predictive performance of the mutation library was assessed using 9321 clinical isolates with WGS and geographical data, with most being single-species infections (P. falciparum 7152/7462, P. vivax 1502/1661, P. knowlesi 143/151, P. malariae 18/18, P. ovale ssp. 5/5), but co-infections were identified (456/9321; 4.8%). The accuracy of the predicted geographical profiles was high to both continental (96.1%) and regional levels (94.6%). For P. falciparum, markers were identified for resistance to chloroquine (49.2%; regional range: 24.5% to 100%), sulfadoxine (83.3%; 35.4- 90.5%), pyrimethamine (85.4%; 80.0-100%) and combined SP (77.4%). Markers associated with the partial resistance of artemisinin were found in WGS from isolates sourced from Southeast Asia (30.6%). CONCLUSIONS Malaria-Profiler is a user-friendly tool that can rapidly and accurately predict the geographical regional source and anti-malarial drug resistance profiles across large numbers of samples with WGS data. The software is flexible with modifiable bioinformatic pipelines. For example, it is possible to select the sequencing platform, display specific variants, and customise the format of outputs. With the increasing application of next-generation sequencing platforms on Plasmodium DNA, Malaria-Profiler has the potential to be integrated into point-of-care and surveillance settings, thereby assisting malaria control. Malaria-Profiler is available online (bioinformatics.lshtm.ac.uk/malaria-profiler) and as standalone software ( https://github.com/jodyphelan/malaria-profiler ).
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Affiliation(s)
- Jody E Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK.
| | - Anna Turkiewicz
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
| | - Emilia Manko
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
| | - Joseph Thorpe
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
| | - Leen N Vanheer
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
| | - Marga van de Vegte-Bolmer
- Department of Medical Microbiology and Radboud Center for Infectious Diseases, Radboud University Medical Center, University of Nijmegen, Nijmegen, The Netherlands
| | - Nguyen Thi Hong Ngoc
- Molecular Biology Department, Parasitology and Entomology, Vietnam National Institute of Malariology, Hanoi, Vietnam
| | - Nguyen Thi Huong Binh
- Molecular Biology Department, Parasitology and Entomology, Vietnam National Institute of Malariology, Hanoi, Vietnam
| | - Nguyen Quang Thieu
- Molecular Biology Department, Parasitology and Entomology, Vietnam National Institute of Malariology, Hanoi, Vietnam
| | - Jesse Gitaka
- Directorate of Research and Innovation, Mount Kenya University, Gen. Kago Rd, Thika, Kenya
| | - Debbie Nolder
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
- UK Health Security Agency Malaria Reference Laboratory, LSHTM, London, WC1E 7HT, UK
| | - Khalid B Beshir
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
| | - Jamille G Dombrowski
- Department of Parasitology, Institute of Biomedical Sciences, Univ. of São Paulo, São Paulo, Brazil
| | - Silvia Maria Di Santi
- School of Medicine, Instituto de Medicina Tropical, University of São Paulo, São Paulo, Brazil
| | - Teun Bousema
- Department of Medical Microbiology and Radboud Center for Infectious Diseases, Radboud University Medical Center, University of Nijmegen, Nijmegen, The Netherlands
| | - Colin J Sutherland
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK
- UK Health Security Agency Malaria Reference Laboratory, LSHTM, London, WC1E 7HT, UK
| | - Susana Campino
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK.
| | - Taane G Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine (LSHTM), London, WC1E 7HT, UK.
- Faculty of Epidemiology and Population Health, LSHTM, London, WC1E 7HT, UK.
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18
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Derelle R, Lees J, Phelan J, Lalvani A, Arinaminpathy N, Chindelevitch L. fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing. Bioinformatics 2023; 39:btad648. [PMID: 37871178 PMCID: PMC10627351 DOI: 10.1093/bioinformatics/btad648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 10/06/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
SUMMARY Fastlin is a bioinformatics tool designed for rapid Mycobacterium tuberculosis complex (MTBC) lineage typing. It utilizes an ultra-fast alignment-free approach to detect previously identified barcode single nucleotide polymorphisms associated with specific MTBC lineages. In a comprehensive benchmarking against existing tools, fastlin demonstrated high accuracy and significantly faster running times. AVAILABILITY AND IMPLEMENTATION fastlin is freely available at https://github.com/rderelle/fastlin and can easily be installed using Conda.
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Affiliation(s)
- Romain Derelle
- NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W2 1PG, United Kingdom
| | - John Lees
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London , London W12 0BZ, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus , Hinxton CB10 1SD, United Kingdom
| | - Jody Phelan
- Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom
| | - Ajit Lalvani
- NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W2 1PG, United Kingdom
| | - Nimalan Arinaminpathy
- NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W2 1PG, United Kingdom
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London , London W12 0BZ, United Kingdom
| | - Leonid Chindelevitch
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London , London W12 0BZ, United Kingdom
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19
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Silcocks M, Dunstan SJ. Parallel signatures of Mycobacterium tuberculosis and human Y-chromosome phylogeography support the Two Layer model of East Asian population history. Commun Biol 2023; 6:1037. [PMID: 37833496 PMCID: PMC10575886 DOI: 10.1038/s42003-023-05388-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
The Two Layer hypothesis is fast becoming the favoured narrative describing East Asian population history. Under this model, hunter-gatherer groups who initially peopled East Asia via a route south of the Himalayas were assimilated by agriculturalist migrants who arrived via a northern route across Eurasia. A lack of ancient samples from tropical East Asia limits the resolution of this model. We consider insight afforded by patterns of variation within the human pathogen Mycobacterium tuberculosis (Mtb) by analysing its phylogeographic signatures jointly with the human Y-chromosome. We demonstrate the Y-chromosome lineages enriched in the traditionally hunter-gatherer groups associated with East Asia's first layer of peopling to display deep roots, low long-term effective population size, and diversity patterns consistent with a southern entry route. These characteristics mirror those of the evolutionarily ancient Mtb lineage 1. The remaining East Asian Y-chromosome lineage is almost entirely absent from traditionally hunter-gatherer groups and displays spatial and temporal characteristics which are incompatible with a southern entry route, and which link it to the development of agriculture in modern-day China. These characteristics mirror those of the evolutionarily modern Mtb lineage 2. This model paves the way for novel host-pathogen coevolutionary research hypotheses in East Asia.
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Affiliation(s)
- Matthew Silcocks
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia.
| | - Sarah J Dunstan
- Department of Infectious Diseases, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
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20
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Wang L, Campino S, Phelan J, Clark TG. Mixed infections in genotypic drug-resistant Mycobacterium tuberculosis. Sci Rep 2023; 13:17100. [PMID: 37816829 PMCID: PMC10564873 DOI: 10.1038/s41598-023-44341-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/06/2023] [Indexed: 10/12/2023] Open
Abstract
Tuberculosis disease (TB), caused by Mycobacterium tuberculosis, is a major global public health problem, resulting in more than 1 million deaths each year. Drug resistance (DR), including multi-drug (MDR-TB), is making TB control difficult and accounts for 16% of new and 48% of previously treated cases. To further complicate treatment decision-making, many clinical studies have reported patients harbouring multiple distinct strains of M. tuberculosis across the main lineages (L1 to L4). The extent to which drug-resistant strains can be deconvoluted within mixed strain infection samples is understudied. Here, we analysed M. tuberculosis isolates with whole genome sequencing data (n = 50,723), which covered the main lineages (L1 9.1%, L2 27.6%, L3 11.8%, L4 48.3%), with genotypic resistance to isoniazid (HR-TB; n = 9546 (29.2%)), rifampicin (RR-TB; n = 7974 (24.4%)), and at least MDR-TB (n = 5385 (16.5%)). TB-Profiler software revealed 531 (1.0%) isolates with potential mixed sub-lineage infections, including some with DR mutations (RR-TB 21/531; HR-TB 59/531; at least MDR-TB 173/531). To assist with the deconvolution of such mixtures, we adopted and evaluated a statistical Gaussian Mixture model (GMM) approach. By simulating 240 artificial mixtures of different ratios from empirical data across L1 to L4, a GMM approach was able to accurately estimate the DR profile of each lineage, with a low error rate for the estimated mixing proportions (mean squared error 0.012) and high accuracy for the DR predictions (93.5%). Application of the GMM model to the clinical mixtures (n = 531), found that 33.3% (188/531) of samples consisted of DR and sensitive lineages, 20.2% (114/531) consisted of lineages with only DR mutations, and 40.6% (229/531) consisted of lineages with genotypic pan-susceptibility. Overall, our work demonstrates the utility of combined whole genome sequencing data and GMM statistical analysis approaches for providing insights into mono and mixed M. tuberculosis infections, thereby potentially assisting diagnosis, treatment decision-making, drug resistance and transmission mapping for infection control.
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Affiliation(s)
- Linfeng Wang
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK
| | - Jody Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
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21
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Gómez-González PJ, Grabowska AD, Tientcheu LD, Tsolaki AG, Hibberd ML, Campino S, Phelan JE, Clark TG. Functional genetic variation in pe/ ppe genes contributes to diversity in Mycobacterium tuberculosis lineages and potential interactions with the human host. Front Microbiol 2023; 14:1244319. [PMID: 37876785 PMCID: PMC10591178 DOI: 10.3389/fmicb.2023.1244319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/21/2023] [Indexed: 10/26/2023] Open
Abstract
Introduction Around 10% of the coding potential of Mycobacterium tuberculosisis constituted by two poorly understood gene families, the pe and ppe loci, thought to be involved in host-pathogen interactions. Their repetitive nature and high GC content have hindered sequence analysis, leading to exclusion from whole-genome studies. Understanding the genetic diversity of pe/ppe families is essential to facilitate their potential translation into tools for tuberculosis prevention and treatment. Methods To investigate the genetic diversity of the 169 pe/ppe genes, we performed a sequence analysis across 73 long-read assemblies representing seven different lineages of M. tuberculosis and M. bovis BCG. Individual pe/ppe gene alignments were extracted and diversity and conservation across the different lineages studied. Results The pe/ppe genes were classified into three groups based on the level of protein sequence conservation relative to H37Rv, finding that >50% were conserved, with indels in pe_pgrs and ppe_mptr sub-families being major drivers of structural variation. Gene rearrangements, such as duplications and gene fusions, were observed between pe and pe_pgrs genes. Inter-lineage diversity revealed lineage-specific SNPs and indels. Discussion The high level of pe/ppe genes conservation, together with the lineage-specific findings, suggest their phylogenetic informativeness. However, structural variants and gene rearrangements differing from the reference were also identified, with potential implications for pathogenicity. Overall, improving our knowledge of these complex gene families may have insights into pathogenicity and inform the development of much-needed tools for tuberculosis control.
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Affiliation(s)
| | - Anna D. Grabowska
- Department of Biophysics, Physiology and Pathophysiology, Medical University of Warsaw, Warsaw, Poland
| | - Leopold D. Tientcheu
- MRC Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Vaccines and Immunity Theme, Fajara, The Gambia
| | - Anthony G. Tsolaki
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
| | - Martin L. Hibberd
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Susana Campino
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jody E. Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Taane G. Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
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22
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Koleske BN, Jacobs WR, Bishai WR. The Mycobacterium tuberculosis genome at 25 years: lessons and lingering questions. J Clin Invest 2023; 133:e173156. [PMID: 37781921 PMCID: PMC10541200 DOI: 10.1172/jci173156] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Abstract
First achieved in 1998 by Cole et al., the complete genome sequence of Mycobacterium tuberculosis continues to provide an invaluable resource to understand tuberculosis (TB), the leading cause of global infectious disease mortality. At the 25-year anniversary of this accomplishment, we describe how insights gleaned from the M. tuberculosis genome have led to vital tools for TB research, epidemiology, and clinical practice. The increasing accessibility of whole-genome sequencing across research and clinical settings has improved our ability to predict antibacterial susceptibility, to track epidemics at the level of individual outbreaks and wider historical trends, to query the efficacy of the bacille Calmette-Guérin (BCG) vaccine, and to uncover targets for novel antitubercular therapeutics. Likewise, we discuss several recent efforts to extract further discoveries from this powerful resource.
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Affiliation(s)
- Benjamin N. Koleske
- Center for Tuberculosis Research, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - William R. Jacobs
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - William R. Bishai
- Center for Tuberculosis Research, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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23
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Sahal MR, Senelle G, La K, Panda TW, Taura DW, Guyeux C, Cambau E, Sola C. Mycobacterium tuberculosis complex drug-resistance, phylogenetics, and evolution in Nigeria: Comparison with Ghana and Cameroon. PLoS Negl Trop Dis 2023; 17:e0011619. [PMID: 37824575 PMCID: PMC10597489 DOI: 10.1371/journal.pntd.0011619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 10/24/2023] [Accepted: 08/24/2023] [Indexed: 10/14/2023] Open
Abstract
In this article, we provide an in-depth analysis on the drug-resistance phenotypic characteristics of a cohort of 325 tuberculosis and characterize by Whole Genome Sequencing 24 isolates from Nigeria belonging to L4, L5 and L6. Our results suggest an alarming rate of drug-resistance of the L4.6.2.2 Mycobacterium tuberculosis complex (MTBC) lineage and a high diversity of L5. We compiled these new Sequence Read Archives (SRAs) to previously published ones from available Bioprojects run in Nigeria. We performed RAxML phylogenetic reconstructions of larger samples that include public NCBI SRAs from some neighboring countries (Cameroon, Ghana). To confront phylogenetic reconstruction to metadata, we used a new proprietary database named TB-Annotator. We show that L5 genomes in Northern Nigeria belong to new clades as the ones described until now and allow an update of the taxonomy of L5. In addition, we describe the L4.6.2.2 lineage in Nigeria, Cameroon and Ghana. We provide computations on the likely divergence time of L4.6.2.2 and suggest a new hypothesis concerning its origin. Finally we provide a short overview on M. bovis diversity in Nigeria. This study constitutes a baseline knowledge on the global genomic diversity, phylogeography and phylodynamics of MTBC in Nigeria, as well as on the natural history of this largely ignored but densely populated country of Africa. These results highlight the need of sequencing additional MTBC genomes in Nigeria and more generally in West-Africa, both for public health and for academic reasons. The likelihood of replacement of L5-L6 by L4.6.2.2 isolates, leave potentially little time to gather historical knowledge informative on the ancient history of tuberculosis in West-Africa.
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Affiliation(s)
- Muhammed Rabiu Sahal
- Université Paris-Cité, IAME, Inserm, Paris, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - Gaetan Senelle
- FEMTO-ST Institute, UMR 6174 CNRS, DISC Computer Science Department, Univ. Franche-Comté (UFC), 16 Route de Gray, 25000 Besançon, France
| | - Kevin La
- Université Paris-Cité, IAME, Inserm, Paris, France
| | | | | | - Christophe Guyeux
- FEMTO-ST Institute, UMR 6174 CNRS, DISC Computer Science Department, Univ. Franche-Comté (UFC), 16 Route de Gray, 25000 Besançon, France
| | - Emmanuelle Cambau
- Université Paris-Cité, IAME, Inserm, Paris, France
- APHP, GHU Nord site Bichat, Service de Mycobactériologie Spécialisée et de Référence, Paris, France
| | - Christophe Sola
- Université Paris-Cité, IAME, Inserm, Paris, France
- Université Paris-Saclay, Gif-sur-Yvette, France
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24
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Bobba S, Khader SA. Rifampicin drug resistance and host immunity in tuberculosis: more than meets the eye. Trends Immunol 2023; 44:712-723. [PMID: 37543504 PMCID: PMC11170062 DOI: 10.1016/j.it.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/07/2023]
Abstract
Tuberculosis (TB) is the leading cause of death due to an infectious agent, with more than 1.5 million deaths attributed to TB annually worldwide. The global dissemination of drug resistance across Mycobacterium tuberculosis (Mtb) strains, causative of TB, resulted in an estimated 450 000 cases of drug-resistant (DR) TB in 2021. Dysregulated immune responses have been observed in patients with multidrug resistant (MDR) TB, but the effects of drug resistance acquisition and impact on host immunity remain obscure. In this review, we compile studies that span aspects of altered host-pathogen interactions and highlight research that explores how drug resistance and immunity might intersect. Understanding the immune processes differentially induced during DR TB would aid the development of rational therapeutics and vaccines for patients with MDR TB.
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Affiliation(s)
- Suhas Bobba
- Department of Molecular Microbiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Shabaana A Khader
- Department of Microbiology, University of Chicago, Chicago, IL 60637, USA.
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25
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Sobkowiak B, Haghmaram P, Prystajecky N, Zlosnik JEA, Tyson J, Hoang LMN, Colijn C. The utility of SARS-CoV-2 genomic data for informative clustering under different epidemiological scenarios and sampling. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 113:105484. [PMID: 37531976 DOI: 10.1016/j.meegid.2023.105484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/25/2023] [Accepted: 07/30/2023] [Indexed: 08/04/2023]
Abstract
OBJECTIVES Clustering pathogen sequence data is a common practice in epidemiology to gain insights into the genetic diversity and evolutionary relationships among pathogens. We can find groups of cases with a shared transmission history and common origin, as well as identifying transmission hotspots. Motivated by the experience of clustering SARS-CoV-2 cases using whole genome sequence data during the COVID-19 pandemic to aid with public health investigation, we investigated how differences in epidemiology and sampling can influence the composition of clusters that are identified. METHODS We performed genomic clustering on simulated SARS-CoV-2 outbreaks produced with different transmission rates and levels of genomic diversity, along with varying the proportion of cases sampled. RESULTS In single outbreaks with a low transmission rate, decreasing the sampling fraction resulted in multiple, separate clusters being identified where intermediate cases in transmission chains are missed. Outbreaks simulated with a high transmission rate were more robust to changes in the sampling fraction and largely resulted in a single cluster that included all sampled outbreak cases. When considering multiple outbreaks in a sampled jurisdiction seeded by different introductions, low genomic diversity between introduced cases caused outbreaks to be merged into large clusters. If the transmission and sampling fraction, and diversity between introductions was low, a combination of the spurious break-up of outbreaks and the linking of closely related cases in different outbreaks resulted in clusters that may appear informative, but these did not reflect the true underlying population structure. Conversely, genomic clusters matched the true population structure when there was relatively high diversity between introductions and a high transmission rate. CONCLUSION Differences in epidemiology and sampling can impact our ability to identify genomic clusters that describe the underlying population structure. These findings can help to guide recommendations for the use of pathogen clustering in public health investigations.
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Affiliation(s)
| | - Pouya Haghmaram
- Department of Mathematics, Simon Fraser University, Burnaby, Canada
| | - Natalie Prystajecky
- BC Centre for Disease Control Public Health Laboratory, BC Centre for Disease Control, Vancouver, Canada; Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Canada
| | - James E A Zlosnik
- BC Centre for Disease Control Public Health Laboratory, BC Centre for Disease Control, Vancouver, Canada
| | - John Tyson
- BC Centre for Disease Control Public Health Laboratory, BC Centre for Disease Control, Vancouver, Canada
| | - Linda M N Hoang
- BC Centre for Disease Control Public Health Laboratory, BC Centre for Disease Control, Vancouver, Canada; Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Canada
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, Canada
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Shitikov E, Bespiatykh D. A revised SNP-based barcoding scheme for typing Mycobacterium tuberculosis complex isolates. mSphere 2023; 8:e0016923. [PMID: 37314207 PMCID: PMC10449489 DOI: 10.1128/msphere.00169-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 04/28/2023] [Indexed: 06/15/2023] Open
Abstract
The development of whole-genome sequencing technologies is gradually leading to a more detailed description of the population structure of the Mycobacterium tuberculosis complex (MTBC). In this study, we correlated previously published classifications on a collection of more than 10,000 genomes and proposed a new, comprehensive nomenclature that unifies the existing ones. In total, we identified 169 lineages and sublineages of M. tuberculosis/M. africanum and 9 animal-adapted species. For the purpose of organizing these genotypes in a more streamlined manner, we stratified them into five hierarchical levels. To represent the classification and compare it with the reference, we compiled a confirmatory data set of 670 high-quality isolates, which includes all genotypes and species of MTBC, and this confirmatory data set can serve as a basis for further studies. We proposed a set of 213 robust barcoding single-nucleotide polymorphisms and a suitable workflow for reliable differentiation of genotypes and species within the complex. This work integrates the results of all the major systematized studies to date to provide an understanding of the global diversity of the MTBC population structure. The results of this work may ultimately help to reliably determine the pathogen genotype and associate it with traits that reflect its prevalence, virulence, vaccination, and treatment efficiency, as well as to reliably find natural features revealed during its spread. IMPORTANCE Through years of research into the Mycobacterium tuberculosis complex (MTBC), a number of ambiguous phylogenetic classifications have emerged, which often overlap with one another. In the present study, we have combined all major studies on MTBC classification and inferred a unified, most complete to date classification and accompanying SNP barcodes.
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Affiliation(s)
- Egor Shitikov
- Department of biomedicine and genomics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Dmitry Bespiatykh
- Department of biomedicine and genomics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
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27
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Davies-Bolorunduro OF, Jaemsai B, Ruangchai W, Phumiphanjarphak W, Aiewsakun P, Palittapongarnpim P. Analysis of whiB7 in Mycobacterium tuberculosis reveals novel AT-hook deletion mutations. Sci Rep 2023; 13:13324. [PMID: 37587174 PMCID: PMC10432532 DOI: 10.1038/s41598-023-40152-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 08/05/2023] [Indexed: 08/18/2023] Open
Abstract
Mutations in whiB7 have been associated with both hypersusceptibility and resistance to various antibiotics in Mycobacterium tuberculosis (Mtb). Unlocking the secrets of antibiotic resistance in the bacterium, we examined mutations in the coding sequences of whiB7 of over 40,000 diverse Mtb isolates. Our results unveil the dominant c.191delG (Gly64delG) mutation, present in all members of the lineage L1.2.2 and its impact on WhiB7's conserved GVWGG-motif, causing conformational changes and deletion of the C-terminal AT-hook. Excitingly, we discovered six unique mutations associated with partial or total deletion of the AT-hook, specific to certain sublineages. Our findings suggest the selective pressures driving these mutations, underlining the potential of genomics to advance our understanding of Mtb's antibiotic resistance. As tuberculosis remains a global health threat, our study offers valuable insights into the diverse nature and functional consequences of whiB7 mutations, paving the way for the development of novel therapeutic interventions.
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Affiliation(s)
- Olabisi Flora Davies-Bolorunduro
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
- Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
- Center for Tuberculosis Research, Microbiology Department, Nigerian Institute of Medical Research, 6 Edmund Crescent, P.M.B 2013, Yaba, 101012, Lagos, Nigeria
| | - Bharkbhoom Jaemsai
- Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
| | - Wuthiwat Ruangchai
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
| | - Worakorn Phumiphanjarphak
- Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
| | - Pakorn Aiewsakun
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
- Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand
| | - Prasit Palittapongarnpim
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand.
- Department of Microbiology, Faculty of Science, Mahidol University, Rama 6 Road, Bangkok, 10400, Thailand.
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Napier G, Couvin D, Refrégier G, Guyeux C, Meehan CJ, Sola C, Campino S, Phelan J, Clark TG. Comparison of in silico predicted Mycobacterium tuberculosis spoligotypes and lineages from whole genome sequencing data. Sci Rep 2023; 13:11368. [PMID: 37443186 PMCID: PMC10345134 DOI: 10.1038/s41598-023-38384-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023] Open
Abstract
Bacterial strain-types in the Mycobacterium tuberculosis complex underlie tuberculosis disease, and have been associated with drug resistance, transmissibility, virulence, and host-pathogen interactions. Spoligotyping was developed as a molecular genotyping technique used to determine strain-types, though recent advances in whole genome sequencing (WGS) technology have led to their characterization using SNP-based sub-lineage nomenclature. Notwithstanding, spoligotyping remains an important tool and there is a need to study the congruence between spoligotyping-based and SNP-based sub-lineage assignation. To achieve this, an in silico spoligotype prediction method ("Spolpred2") was developed and integrated into TB-Profiler. Lineage and spoligotype predictions were generated for > 28 k isolates and the overlap between strain-types was characterized. Major spoligotype families detected were Beijing (25.6%), T (18.6%), LAM (13.1%), CAS (9.4%), and EAI (8.3%), and these broadly followed known geographic distributions. Most spoligotypes were perfectly correlated with the main MTBC lineages (L1-L7, plus animal). Conversely, at lower levels of the sub-lineage system, the relationship breaks down, with only 65% of spoligotypes being perfectly associated with a sub-lineage at the second or subsequent levels of the hierarchy. Our work supports the use of spoligotyping (membrane or WGS-based) for low-resolution surveillance, and WGS or SNP-based systems for higher-resolution studies.
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Affiliation(s)
- Gary Napier
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - David Couvin
- Institut Pasteur de la Guadeloupe, Les Abymes, Guadeloupe
| | - Guislaine Refrégier
- Université Paris-Saclay, Saint-Aubin, France
- CNRS, UMR ESE, AgroParisTech, 91405, Orsay, France
| | - Christophe Guyeux
- DISC Computer Science Department, FEMTO-ST Institute, UMR 6174 CNRS, Univ. Bourgogne Franche-Comté (UBFC), 16 Route de Gray, 25000, Besançon, France
| | | | - Christophe Sola
- Université Paris-Saclay, Saint-Aubin, France
- IAME, UMR1137, Université Paris-Cité, INSERM, Paris, France
| | - Susana Campino
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
| | - Jody Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
| | - Taane G Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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Mokrousov I, Vyazovaya A, Shitikov E, Badleeva M, Belopolskaya O, Bespiatykh D, Gerasimova A, Ioannidis P, Jiao W, Khromova P, Masharsky A, Naizabayeva D, Papaventsis D, Pasechnik O, Perdigão J, Rastogi N, Shen A, Sinkov V, Skiba Y, Solovieva N, Tafaj S, Valcheva V, Kostyukova I, Zhdanova S, Zhuravlev V, Ogarkov O. Insight into pathogenomics and phylogeography of hypervirulent and highly-lethal Mycobacterium tuberculosis strain cluster. BMC Infect Dis 2023; 23:426. [PMID: 37353765 DOI: 10.1186/s12879-023-08413-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 06/21/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND . The Mycobacterium tuberculosis Beijing genotype is globally spread lineage with important medical properties that however vary among its subtypes. M. tuberculosis Beijing 14717-15-cluster was recently discovered as both multidrug-resistant, hypervirulent, and highly-lethal strain circulating in the Far Eastern region of Russia. Here, we aimed to analyze its pathogenomic features and phylogeographic pattern. RESULTS . The study collection included M. tuberculosis DNA collected between 1996 and 2020 in different world regions. The bacterial DNA was subjected to genotyping and whole genome sequencing followed by bioinformatics and phylogenetic analysis. The PCR-based assay to detect specific SNPs of the Beijing 14717-15-cluster was developed and used for its screening in the global collections. Phylogenomic and phylogeographic analysis confirmed endemic prevalence of the Beijing 14717-15-cluster in the Asian part of Russia, and distant common ancestor with isolates from Korea (> 115 SNPs). The Beijing 14717-15-cluster isolates had two common resistance mutations RpsL Lys88Arg and KatG Ser315Thr and belonged to spoligotype SIT269. The Russian isolates of this cluster were from the Asian Russia while 4 isolates were from the Netherlands and Spain. The cluster-specific SNPs that significantly affect the protein function were identified in silico in genes within different categories (lipid metabolism, regulatory proteins, intermediary metabolism and respiration, PE/PPE, cell wall and cell processes). CONCLUSIONS . We developed a simple method based on real-time PCR to detect clinically significant MDR and hypervirulent Beijing 14717-15-cluster. Most of the identified cluster-specific mutations were previously unreported and could potentially be associated with increased pathogenic properties of this hypervirulent M. tuberculosis strain. Further experimental study to assess the pathobiological role of these mutations is warranted.
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Affiliation(s)
- Igor Mokrousov
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia.
- Henan International Joint Laboratory of Children's Infectious Diseases, Henan Children's Hospital, Children's Hospital, Zhengzhou University, Zhengzhou Children's Hospital, Zhengzhou, China.
| | - Anna Vyazovaya
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia
| | - Egor Shitikov
- Department of Biomedicine and Genomics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, 119435, Russia
| | - Maria Badleeva
- Department of Infectious Diseases, Dorji Banzarov Buryat State University, Ulan-Ude, Buryatia, Russia
| | - Olesya Belopolskaya
- Resource Center Bio-bank Center, Research Park of St. Petersburg State University, St. Petersburg, Russia
- Laboratory of Genogeography, Vavilov Institute of General Genetics Russian Academy of Sciences Moscow, Moscow, Russia
| | - Dmitry Bespiatykh
- Department of Biomedicine and Genomics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, 119435, Russia
| | - Alena Gerasimova
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia
| | - Panayotis Ioannidis
- National Reference Laboratory for Mycobacteria, Sotiria Chest Diseases Hospital, Athens, Greece
| | - Weiwei Jiao
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Children's Hospital, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Polina Khromova
- Department of Epidemiology and Microbiology, Scientific Centre of the Family Health and Human Reproduction Problems, Irkutsk, Russia
| | - Aleksey Masharsky
- Resource Center Bio-bank Center, Research Park of St. Petersburg State University, St. Petersburg, Russia
| | - Dinara Naizabayeva
- Laboratory of Molecular Biology, Almaty Branch of National Center for Biotechnology in Central Reference Laboratory, Almaty, Kazakhstan
- Department of Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Dimitrios Papaventsis
- National Reference Laboratory for Mycobacteria, Sotiria Chest Diseases Hospital, Athens, Greece
| | - Oksana Pasechnik
- Department of Public Health, Omsk State Medical University, Omsk, Russia
| | - João Perdigão
- iMed.ULisboa - Instituto de Investigação do Medicamento, Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
| | - Adong Shen
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Children's Hospital, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, Beijing, China
- Henan Children's Hospital, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou Children's Hospital, Zhengzhou, China
| | - Viacheslav Sinkov
- Department of Epidemiology and Microbiology, Scientific Centre of the Family Health and Human Reproduction Problems, Irkutsk, Russia
| | - Yuriy Skiba
- Laboratory of Molecular Biology, Almaty Branch of National Center for Biotechnology in Central Reference Laboratory, Almaty, Kazakhstan
| | - Natalia Solovieva
- St. Petersburg Research Institute of Phthisiopulmonology, St. Petersburg, Russia
| | - Silva Tafaj
- National Mycobacteria Reference Laboratory, University Hospital Shefqet Ndroqi, Tirana, Albania
| | - Violeta Valcheva
- Laboratory of Molecular Genetics of Mycobacteria, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Irina Kostyukova
- Bacteriology laboratory, Clinical Tuberculosis Dispensary, Omsk, Russia
| | - Svetlana Zhdanova
- Department of Epidemiology and Microbiology, Scientific Centre of the Family Health and Human Reproduction Problems, Irkutsk, Russia
| | - Viacheslav Zhuravlev
- St. Petersburg Research Institute of Phthisiopulmonology, St. Petersburg, Russia
| | - Oleg Ogarkov
- Department of Epidemiology and Microbiology, Scientific Centre of the Family Health and Human Reproduction Problems, Irkutsk, Russia
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Zhdanova S, Jiao WW, Sinkov V, Khromova P, Solovieva N, Mushkin A, Mokrousov I, Belopolskaya O, Masharsky A, Vyazovaya A, Rychkova L, Kolesnikova L, Zhuravlev V, Shen AD, Ogarkov O. Insight into Population Structure and Drug Resistance of Pediatric Tuberculosis Strains from China and Russia Gained through Whole-Genome Sequencing. Int J Mol Sci 2023; 24:10302. [PMID: 37373451 DOI: 10.3390/ijms241210302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/07/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
This study aimed to determine phenotypic and genotypic drug resistance patterns of Mycobacterium tuberculosis strains from children with tuberculosis (TB) in China and Russia, two high-burden countries for multi/extensively-drug resistant (MDR/XDR) TB. Whole-genome sequencing data of M. tuberculosis isolates from China (n = 137) and Russia (n = 60) were analyzed for phylogenetic markers and drug-resistance mutations, followed by comparison with phenotypic susceptibility data. The Beijing genotype was detected in 126 Chinese and 50 Russian isolates. The Euro-American lineage was detected in 10 Russian and 11 Chinese isolates. In the Russian collection, the Beijing genotype and Beijing B0/W148-cluster were dominated by MDR strains (68% and 94%, respectively). Ninety percent of B0/W148 strains were phenotypically pre-XDR. In the Chinese collection, neither of the Beijing sublineages was associated with MDR/pre-XDR status. MDR was mostly caused by low fitness cost mutations (rpoB S450L, katG S315T, rpsL K43R). Chinese rifampicin-resistant strains demonstrated a higher diversity of resistance mutations than Russian isolates (p = 0.003). The rifampicin and isoniazid resistance compensatory mutations were detected in some MDR strains, but they were not widespread. The molecular mechanisms of M. tuberculosis adaptation to anti-TB treatment are not unique to the pediatric strains, but they reflect the general situation with TB in Russia and China.
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Affiliation(s)
- Svetlana Zhdanova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Wei-Wei Jiao
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Viacheslav Sinkov
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Polina Khromova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Natalia Solovieva
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - Alexander Mushkin
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - Igor Mokrousov
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
- Henan International Joint Laboratory of Children's Infectious Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450012, China
| | - Olesya Belopolskaya
- The Bio-Bank Resource Center, Research Park, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Aleksey Masharsky
- The Bio-Bank Resource Center, Research Park, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Anna Vyazovaya
- Laboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia
| | - Lubov Rychkova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Lubov Kolesnikova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
| | - Viacheslav Zhuravlev
- St. Petersburg Research Institute of Phthisiopulmonology, 191036 St. Petersburg, Russia
| | - A-Dong Shen
- National Clinical Research Center for Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
- Henan International Joint Laboratory of Children's Infectious Diseases, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450012, China
| | - Oleg Ogarkov
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, 664003 Irkutsk, Russia
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Kim NY, Kim DY, Chu J, Jung SH. pncA Large Deletion is the Characteristic of Pyrazinamide-Resistant Mycobacterium tuberculosis belonging to the East Asian Lineage. Infect Chemother 2023; 55:247-256. [PMID: 37407242 DOI: 10.3947/ic.2023.0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/10/2023] [Indexed: 07/07/2023] Open
Abstract
BACKGROUND Pyrazinamide (PZA) is often used as an add-on agent in the treatment of multidrug-resistant tuberculosis, regardless of phenotypic drug susceptibility testing (pDST) results. However, evaluating the effectiveness of PZA is challenging because of its low pH activity, which can result in unreliable pDST results. This study aimed to investigate the genomic characteristics associated with PZA resistance that can be used to develop genotypic DST. MATERIALS AND METHODS A publicly available whole genome sequencing (WGS) dataset of 10,725 Mycobacterium tuberculosis complex genomes (3,326 phenotypically PZA-resistant and 7,399 phenotypically PZA-susceptible isolates) were analyzed. RESULTS In total, 2,934 pncA non-silent mutations were identified in 2,880 isolates (26.9%). Detected mutations were found throughout the entire coding region of pncA in a scattered pattern, of which the most frequent mutation was p.Q10P (n = 278), followed by p.H57D (n = 167) and c.-11A>G (n = 122). The sensitivity and specificity of the group 1 or 2 mutations reported by the World Health Organization (WHO) mutational catalogue were 73.0% and 98.9%, respectively. We further identified 18 novel pncA mutations that were significantly associated with phenotypically PZA-resistant. In addition to these mutations, we identified 102 large deletions in the pncA gene, and all but two isolates were phenotypically resistant to PZA isolates. Notably, pncA deletions were mutually exclusive to pncA mutations, and more than half of the isolates with pncA large deletions belonged to the East Asian lineage (67.6%). The sensitivity, specificity, positive predictive value, and negative predictive value of the pooled variants (group 1 or 2 mutations, novel resistance-associated mutations, and large deletions of the pncA gene) were 79.0%, 98.9%, 97.0%, and 91.3%, respectively. The area under the curve (AUC) value for the pooled variants was significantly higher than the AUC value for the group 1 or 2 mutations (P <0.001), indicating that the pooled variants have a better discriminative ability for predicting PZA resistance. CONCLUSION Using WGS, we found that the pncA mutations are scattered without specific mutational hotspots, and large deletions associated with PZA resistance are more common in the East Asian lineage of M. tuberculosis isolates. Our data also demonstrated the reliability of group 1 or 2 mutations presented in the WHO mutation catalogue and the need for further investigation on group 3 mutations, contributing to the evaluation of the current knowledge base on mutations associated with the PZA-resistant M. tuberculosis complex.
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Affiliation(s)
- Na Yung Kim
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Do Young Kim
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jiyon Chu
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung-Hyun Jung
- Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Biochemistry, Precision Medicine Research Center, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Integrated Research Center for Genomic Polymorphism, College of Medicine, The Catholic University of Korea, Seoul, Korea.
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Hoon KS, Holt DC, Auburn S, Shaw P, Giffard PM. minSNPs: an R package for the derivation of resolution-optimised SNP sets from microbial genomic data. PeerJ 2023; 11:e15339. [PMID: 37250706 PMCID: PMC10224671 DOI: 10.7717/peerj.15339] [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: 09/21/2022] [Accepted: 04/12/2023] [Indexed: 05/31/2023] Open
Abstract
Here, we present the R package, minSNPs. This is a re-development of a previously described Java application named Minimum SNPs. MinSNPs assembles resolution-optimised sets of single nucleotide polymorphisms (SNPs) from sequence alignments such as genome-wide orthologous SNP matrices. MinSNPs can derive sets of SNPs optimised for discriminating any user-defined combination of sequences from all others. Alternatively, SNP sets may be optimised to determine all sequences from all other sequences, i.e., to maximise diversity. MinSNPs encompasses functions that facilitate rapid and flexible SNP mining, and clear and comprehensive presentation of the results. The minSNPs' running time scales in a linear fashion with input data volume and the numbers of SNPs and SNPs sets specified in the output. MinSNPs was tested using a previously reported orthologous SNP matrix of Staphylococcus aureus and an orthologous SNP matrix of 3,279 genomes with 164,335 SNPs assembled from four S. aureus short read genomic data sets. MinSNPs was shown to be effective for deriving discriminatory SNP sets for potential surveillance targets and in identifying SNP sets optimised to discriminate isolates from different clonal complexes. MinSNPs was also tested with a large Plasmodium vivax orthologous SNP matrix. A set of five SNPs was derived that reliably indicated the country of origin within three south-east Asian countries. In summary, we report the capacity to assemble comprehensive SNP matrices that effectively capture microbial genomic diversity, and to rapidly and flexibly mine these entities for optimised marker sets.
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Affiliation(s)
- Kian Soon Hoon
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Deborah C. Holt
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- CDU Menzies School of Medicine, Faculty of Health, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Sarah Auburn
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Peter Shaw
- Oujian Laboratory, Wenzhou, Zhejiang, China
| | - Philip M. Giffard
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
- CDU Menzies School of Medicine, Faculty of Health, Charles Darwin University, Darwin, Northern Territory, Australia
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Baena A, Cabarcas F, Ocampo JC, Barrera LF, Alzate JF. Large genomic deletions delineate Mycobacterium tuberculosis L4 sublineages in South American countries. PLoS One 2023; 18:e0285417. [PMID: 37205685 PMCID: PMC10198500 DOI: 10.1371/journal.pone.0285417] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 04/24/2023] [Indexed: 05/21/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb) is still one of the primary pathogens of humans causing tuberculosis (TB) disease. Mtb embraces nine well-defined phylogenetic lineages with biological and geographical disparities. The lineage L4 is the most globally widespread of all lineages and was introduced to America with European colonization. Taking advantage of many genome projects available in public repositories, we undertake an evolutionary and comparative genomic analysis of 522 L4 Latin American Mtb genomes. Initially, we performed careful quality control of public read datasets and applied several thresholds to filter out low-quality data. Using a genome de novo assembly strategy and phylogenomic methods, we spotted novel south American clades that have not been revealed yet. Additionally, we describe genomic deletion profiles of these strains from an evolutionary perspective and report Mycobacterium tuberculosis L4 sublineages signature-like gene deletions, some of the novel. One is a specific deletion of 6.5 kbp that is only present in sublineage 4.1.2.1. This deletion affects a complex group of 10 genes with putative products annotated, among others, as a lipoprotein, transmembrane protein, and toxin/antitoxin system proteins. The second novel deletion spans for 4.9 kbp and specific of a particular clade of the 4.8 sublineage and affects 7 genes. The last novel deletion affects 4 genes, extends for 4.8 kbp., and is specific to some strains within the 4.1.2.1 sublineage that are present in Colombia, Peru and Brasil.
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Affiliation(s)
- Andres Baena
- Grupo de Inmunología Celular e Inmunogenética (GICIG), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
- Sede de Investigación Universitaria-SIU, Universidad de Antioquia, Medellín, Colombia
| | - Felipe Cabarcas
- Centro Nacional de Secuenciación Genómica—CNSG, Universidad de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Juan C. Ocampo
- Grupo de Inmunología Celular e Inmunogenética (GICIG), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
- Sede de Investigación Universitaria-SIU, Universidad de Antioquia, Medellín, Colombia
| | - Luis F. Barrera
- Grupo de Inmunología Celular e Inmunogenética (GICIG), Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
- Sede de Investigación Universitaria-SIU, Universidad de Antioquia, Medellín, Colombia
- Instituto de Investigaciones médicas, Universidad de Antioquia, Medellín, Colombia
| | - Juan F. Alzate
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
- Sede de Investigación Universitaria-SIU, Universidad de Antioquia, Medellín, Colombia
- Centro Nacional de Secuenciación Genómica—CNSG, Universidad de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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Mei YM, Zhang WY, Sun JY, Jiang HQ, Shi Y, Xiong JS, Wang L, Chen YQ, Long SY, Pan C, Luo T, Wang HS. Genomic characteristics of Mycobacterium tuberculosis isolates of cutaneous tuberculosis. Front Microbiol 2023; 14:1165916. [PMID: 37266022 PMCID: PMC10230547 DOI: 10.3389/fmicb.2023.1165916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/19/2023] [Indexed: 06/03/2023] Open
Abstract
Objectives Cutaneous tuberculosis with various manifestations can be divided into several clinical types according to the host's immune status and infective route. However, the etiological factors of this disease remain unclear. The objective of this study is to investigate the pathogens associated with the occurrence and different types of cutaneous tuberculosis. Methods 58 Mycobacterium tuberculosis strains isolated from cutaneous tuberculosis over the last 20 years were sequenced and analyzed for genomic characteristics including lineage distribution, drug-resistance mutations, and mutations potentially associated with different sites of infection. Results The M. tuberculosis strains from four major types of cutaneous tuberculosis and pulmonary tuberculosis shared similar genotypes and genomic composition. The strains isolated from cutaneous tuberculosis had a lower rate of drug resistance. Phylogenic analysis showed cutaneous tuberculosis and pulmonary tuberculosis isolates scattered on the three. Several SNPs in metabolism related genes exhibited a strong correlation with different infection sites. Conclusions The different infection sites of TB may barely be affected by large genomic changes in M. tuberculosis isolates, but the significant difference in SNPs of drug resistance gene and metabolism-related genes still deserves more attention.
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Affiliation(s)
- You-Ming Mei
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Wen-Yue Zhang
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Ji-Ya Sun
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China
- Suzhou Institute of Systems Medicine, Suzhou, China
| | - Hai-Qin Jiang
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Ying Shi
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Jing-Shu Xiong
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Le Wang
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Yan-Qing Chen
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Si-Yu Long
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Chun Pan
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
| | - Tao Luo
- Department of Pathogen Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China
| | - Hong-Sheng Wang
- Hospital of Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Nanjing, China
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Phyu AN, Aung ST, Palittapongarnpim P, Htet KKK, Mahasirimongkol S, Ruangchai W, Jaemsai B, Aung HL, Maung HMW, Chaiprasert A, Pungrassami P, Chongsuvivatwong V. Genomic Sequencing Profiles of Mycobacterium tuberculosis in Mandalay Region, Myanmar. Trop Med Infect Dis 2023; 8:239. [PMID: 37104364 PMCID: PMC10141229 DOI: 10.3390/tropicalmed8040239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/05/2023] [Accepted: 04/18/2023] [Indexed: 04/28/2023] Open
Abstract
This study aimed to characterize whole-genome sequencing (WGS) information of Mycobacterium tuberculosis (Mtb) in the Mandalay region of Myanmar. It was a cross-sectional study conducted with 151 Mtb isolates obtained from the fourth nationwide anti-tuberculosis (TB) drug-resistance survey. Frequency of lineages 1, 2, 3, and 4 were 55, 65, 9, and 22, respectively. The most common sublineage was L1.1.3.1 (n = 31). Respective multi-drug resistant tuberculosis (MDR-TB) frequencies were 1, 1, 0, and 0. Four clusters of 3 (L2), 2 (L4), 2 (L1), and 2 (L2) isolates defined by a 20-single-nucleotide variant (SNV) cutoff were detected. Simpson's index for sublineages was 0.0709. Such high diversity suggests that the area probably had imported Mtb from many geographical sources. Relatively few genetic clusters and MDR-TB suggest there is a chance the future control will succeed if it is carried out properly.
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Affiliation(s)
- Aye Nyein Phyu
- National Tuberculosis Programme, Department of Public Health, Ministry of Health, Mandalay 05071, Myanmar
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand
| | - Si Thu Aung
- Department of Public Health, Ministry of Health, Keng Tung 06231, Myanmar
| | - Prasit Palittapongarnpim
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Kyaw Ko Ko Htet
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand
| | - Surakameth Mahasirimongkol
- Medical Life Sciences Institute, Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand
| | - Wuthiwat Ruangchai
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Bharkbhoom Jaemsai
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Htin Lin Aung
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand
| | - Htet Myat Win Maung
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand
| | - Angkana Chaiprasert
- Office of Research and Innovation, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Petchawan Pungrassami
- Department of Disease Control, Ministry of Public Health, Nonthaburi 11000, Thailand
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Phelan J, Gomez-Gonzalez PJ, Andreu N, Omae Y, Toyo-Oka L, Yanai H, Miyahara R, Nedsuwan S, de Sessions PF, Campino S, Sallah N, Parkhill J, Smittipat N, Palittapongarnpim P, Mushiroda T, Kubo M, Tokunaga K, Mahasirimongkol S, Hibberd ML, Clark TG. Genome-wide host-pathogen analyses reveal genetic interaction points in tuberculosis disease. Nat Commun 2023; 14:549. [PMID: 36725857 PMCID: PMC9892022 DOI: 10.1038/s41467-023-36282-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/24/2023] [Indexed: 02/03/2023] Open
Abstract
The genetics underlying tuberculosis (TB) pathophysiology are poorly understood. Human genome-wide association studies have failed so far to reveal reproducible susceptibility loci, attributed in part to the influence of the underlying Mycobacterium tuberculosis (Mtb) bacterial genotype on the outcome of the infection. Several studies have found associations of human genetic polymorphisms with Mtb phylo-lineages, but studies analysing genome-genome interactions are needed. By implementing a phylogenetic tree-based Mtb-to-human analysis for 714 TB patients from Thailand, we identify eight putative genetic interaction points (P < 5 × 10-8) including human loci DAP and RIMS3, both linked to the IFNγ cytokine and host immune system, as well as FSTL5, previously associated with susceptibility to TB. Many of the corresponding Mtb markers are lineage specific. The genome-to-genome analysis reveals a complex interactome picture, supports host-pathogen adaptation and co-evolution in TB, and has potential applications to large-scale studies across many TB endemic populations matched for host-pathogen genomic diversity.
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Affiliation(s)
- Jody Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Nuria Andreu
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Yosuke Omae
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Licht Toyo-Oka
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideki Yanai
- Fukujuji Hospital and Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Kiyose, Japan
| | - Reiko Miyahara
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Susana Campino
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Neneh Sallah
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Julian Parkhill
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Nat Smittipat
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathumthani, Thailand
| | - Prasit Palittapongarnpim
- National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathumthani, Thailand
| | | | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Katsushi Tokunaga
- Department of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Surakameth Mahasirimongkol
- Medical Genetics Center, Medical Life Sciences Institute, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Martin L Hibberd
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Taane G Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.
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Drug Resistance of Mycobacterium tuberculosis Based on Whole-Genome Sequencing in the Yi Ethnic Group, Sichuan Province, China. J Immunol Res 2023; 2023:4431209. [PMID: 36726492 PMCID: PMC9886460 DOI: 10.1155/2023/4431209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/11/2022] [Accepted: 11/24/2022] [Indexed: 01/25/2023] Open
Abstract
This study investigated drug-resistant tuberculosis (DR-TB) in the Yi ethnic group. The study was designed to identify risk factors for DR-TB and its relationship with HIV/AIDS. To establish the resistance to antituberculosis drugs, whole-genome sequencing (WGS) was performed using culture-positive Mycobacterium tuberculosis samples collected from people of the Yi ethnic group from March 2019 to March 2021. Baseline characteristics were obtained from China's tuberculosis surveillance system. A total of 116 M. tuberculosis strains were included in the final analysis. Lineage 2.2 (75.86%) was the dominant sublineage, followed by lineage 4.5 (18.97%) and lineage 4.4 (5.17%). The rates of rifampicin-resistant (RR-TB), multidrug-resistant (MDR-TB), and preextensively drug-resistant TB (pre-XDR-TB) were 18.97%, 10.34%, and 6.03%, respectively. Drug-resistant strains were not found in the elderly (age ≥ 65 years). The proportions of RR/MDR-TB and pre-XDR-TB cases among re-treatment patients were higher than those among new patients (χ 2 = 12.155, P = 0.003; χ 2 = 22.495, P = 0.001, respectively). The pre-XDR-TB case proportions were higher among female patients than among males and higher among referred patients (χ 2 = 5.456, P = 0.032; χ 2 = 15.134, P = 0.002, respectively). The rates of RR/MDR-TB and pre-XDR-TB did not differ appreciably among groups with different HIV infection statuses nor lineage populations. DR-TB poses a serious challenge to the Yi ethnic group. Re-treatment patients, women, and referred patients were at high risk of MDR/RR-TB or pre-XDR-TB while HIV and lineage 2 had negligible association with drug resistance. Whole-genome sequencing should be used to guide the design of treatment regimens and to tailor public interventions.
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Large-scale genomic analysis of Mycobacterium tuberculosis reveals extent of target and compensatory mutations linked to multi-drug resistant tuberculosis. Sci Rep 2023; 13:623. [PMID: 36635309 PMCID: PMC9837068 DOI: 10.1038/s41598-023-27516-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/03/2023] [Indexed: 01/13/2023] Open
Abstract
Resistance to isoniazid (INH) and rifampicin (RIF) first-line drugs in Mycobacterium tuberculosis (Mtb), together called multi-drug resistance, threatens tuberculosis control. Resistance mutations in katG (for INH) and rpoB (RIF) genes often come with fitness costs. To overcome these costs, Mtb compensatory mutations have arisen in rpoC/rpoA (RIF) and ahpC (INH) loci. By leveraging the presence of known compensatory mutations, we aimed to detect novel resistance mutations occurring in INH and RIF target genes. Across ~ 32 k Mtb isolates with whole genome sequencing (WGS) data, there were 6262 (35.7%) with INH and 5435 (30.7%) with RIF phenotypic resistance. Known mutations in katG and rpoB explained ~ 99% of resistance. However, 188 (0.6%) isolates had ahpC compensatory mutations with no known resistance mutations in katG, leading to the identification of 31 putative resistance mutations in katG, each observed in at least 3 isolates. These putative katG mutations can co-occur with other INH variants (e.g., katG-Ser315Thr, fabG1 mutations). For RIF, there were no isolates with rpoC/rpoA compensatory mutations and unknown resistance mutations. Overall, using WGS data we identified putative resistance markers for INH that could be used for genotypic drug-resistance profiling. Establishing the complete repertoire of Mtb resistance mutations will assist the clinical management of tuberculosis.
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Genotypic and phenotypic characteristics of <i>Mycobacterium tuberculosis</i> drug resistance in TB children. ACTA BIOMEDICA SCIENTIFICA 2022. [DOI: 10.29413/abs.2022-7.6.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background. Russian Federation is included in the list of 30 countries with the highest burden of tuberculosis, including MDR tuberculosis. The most important part of this problem is the primary MDR/XDR TB in children.The aim: a comparative analysis of the phenotypic and genotypic profile of drug resistance to anti-tuberculosis drugs (ATP) according to whole genome sequencing of M. tuberculosis strains from children.Materials and methods. Whole genome sequencing (WGS) results of 61 M. tuberculosis isolates from children with tuberculosis in 2006–2020 in the Russian Federation were analyzed for anti-TB drug resistance mutations, according to the WHO catalog and were compared with the results of phenotypic drug sensitivity.Results. The M. tuberculosis belonged to two genetic groups: Beijing genotype – 82 % (50/61) dominant Central Asian Russian (31/50) and B0/W148 (16/50) subtypes, and non-Beijing (Ural, S, LAM) – 18 % (11/61). Three isolates belonged to Asian Ancestral subtype (3/50). Of the 61 isolates, only 14.7 % (9/61) were sensitive to antiTB drugs, 49.2 % (30/61) were MDR and 14.7 % (9/61) were pre-XDR. Comparison of the resistance profile (MDR/pre-XDR) with genotype revealed an upward shift for Beijing isolates, in particular Beijing B0/W148 (15/16) subline compared to other Beijing (19/34) (Chi-square with Yates correction = 5.535; p < 0.05) and nonBeijing (5/12) (Chi-square with Yates correction = 6.741; p < 0.05) subtypes. Discrepancies between genotypic and phenotypic drug resistance profiles were found in 11.5 % (7/61) of cases.Conclusions. Based on the analysis of WGS data, the genotypic characteristics of M. tuberculosis and the most complete set of drug resistance mutations were obtained, indicating a significant prevalence in MDR and pre-XDR TB of cases caused by epidemic subtypes of Beijing (B0/W148 and Central Asian Russian). The molecular mechanisms of adaptation of M. tuberculosis to the treatment of anti-TB drugs are not unique for the child population but reflect the general processes of the spread of MDR/XDR in Russia.
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Morey-León G, Andrade-Molina D, Fernández-Cadena JC, Berná L. Comparative genomics of drug-resistant strains of Mycobacterium tuberculosis in Ecuador. BMC Genomics 2022; 23:844. [PMID: 36544084 PMCID: PMC9769008 DOI: 10.1186/s12864-022-09042-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/23/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Tuberculosis is a serious infectious disease affecting millions of people. In spite of efforts to reduce the disease, increasing antibiotic resistance has contributed to persist in the top 10 causes of death worldwide. In fact, the increased cases of multi (MDR) and extreme drug resistance (XDR) worldwide remains the main challenge for tuberculosis control. Whole genome sequencing is a powerful tool for predicting drug resistance-related variants, studying lineages, tracking transmission, and defining outbreaks. This study presents the identification and characterization of resistant clinical isolates of Mycobacterium tuberculosis including a phylogenetic and molecular resistance profile study by sequencing the complete genome of 24 strains from different provinces of Ecuador. RESULTS Genomic sequencing was used to identify the variants causing resistance. A total of 15/21 isolates were identified as MDR, 4/21 as pre-XDR and 2/21 as XDR, with three isolates discarded due to low quality; the main sub-lineage was LAM (61.9%) and Haarlem (19%) but clades X, T and S were identified. Of the six pre-XDR and XDR strains, it is noteworthy that five come from females; four come from the LAM sub-lineage and two correspond to the X-class sub-lineage. A core genome of 3,750 genes, distributed in 295 subsystems, was determined. Among these, 64 proteins related to virulence and implicated in the pathogenicity of M. tuberculosis and 66 possible pharmacological targets stand out. Most variants result in nonsynonymous amino acid changes and the most frequent genotypes were identified as conferring resistance to rifampicin, isoniazid, ethambutol, para-aminosalicylic acid and streptomycin. However, an increase in the resistance to fluoroquinolones was detected. CONCLUSION This work shows for the first time the variability of circulating resistant strains between men and women in Ecuador, highlighting the usefulness of genomic sequencing for the identification of emerging resistance. In this regard, we found an increase in fluoroquinolone resistance. Further sampling effort is needed to determine the total variability and associations with the metadata obtained to generate better health policies.
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Affiliation(s)
- Gabriel Morey-León
- Laboratorio de Interacciones Hospedero-Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay.
- Universidad de Guayaquil, Guayaquil, Ecuador.
- Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondón, Ecuador.
| | - Derly Andrade-Molina
- Laboratorio de Ciencias Ómicas, Universidad Espíritu Santo, Samborondón, Ecuador
| | | | - Luisa Berná
- Laboratorio de Interacciones Hospedero-Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay.
- Facultad de Ciencias, Unidad de Genómica Evolutiva, Universidad de La República, Montevideo, Uruguay.
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41
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Distribution of Mycobacterium tuberculosis Lineages and Drug Resistance in Upper Myanmar. Trop Med Infect Dis 2022; 7:tropicalmed7120448. [PMID: 36548703 PMCID: PMC9781755 DOI: 10.3390/tropicalmed7120448] [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: 11/14/2022] [Revised: 12/09/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Mycobacterium tuberculosis complex (MTBC) is divided into 9 whole genome sequencing (WGS) lineages. Among them, lineages 1−4 are widely distributed. Multi-drug resistant tuberculosis (MDR-TB) is a major public health threat. For effective TB control, there is a need to obtain genetic information on lineages of Mycobacterium tuberculosis (Mtb) and to understand distribution of lineages and drug resistance. This study aimed to describe the distribution of major lineages and drug resistance patterns of Mtb in Upper Myanmar. This was a cross-sectional study conducted with 506 sequenced isolates. We found that the most common lineage was lineage 2 (n = 223, 44.1%). The most common drug resistance mutation found was streptomycin (n = 44, 8.7%). Lineage 2 showed a higher number of MDR-TB compared to other lineages. There were significant associations between lineages of Mtb and drug resistance patterns, and between lineages and geographical locations of Upper Myanmar (p value < 0.001). This information on the distribution of Mtb lineages across the geographical areas will support a lot for the better understanding of TB transmission and control in Myanmar and other neighboring countries. Therefore, closer collaboration in cross border tuberculosis control is recommended.
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Saeed DK, Ashraf J, Hasan Z, Shakoor S, Kanji A, Hasan R. Bedaquiline resistant Mycobacterium tuberculosis clinical isolates with and without rv0678 mutations have similar growth patterns under varying BDQ drug pressure. Tuberculosis (Edinb) 2022; 137:102266. [PMID: 36195000 DOI: 10.1016/j.tube.2022.102266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/18/2022] [Accepted: 09/23/2022] [Indexed: 01/24/2023]
Abstract
Resistance associated mutations have been reported to alter the growth of Mycobacterium tuberculosis (MTB) isolates under drug pressure. However, there is little information on the growth characteristics of bedaquiline (BDQ) resistant isolates in the presence of BDQ. To further understand the role of rv0678, we aimed to study whether the presence of rv0678 variants in BDQ resistant isolates alters the killing effect of BDQ. We, therefore, selected BDQ resistant clinical MTB isolates with (n = 6) and without (n = 3) variants in rv0678 gene. Using time kill assays, growth inhibition; taken as the relative change in log average colony forming unit (CFU)/ml at selected time points (24-96 h), was studied at Minimum Inhibitory Concentrations (MICs): 0x, 1x, 2.5x, 5x, 7.5x, 10x for these isolates. Growth inhibition was then analyzed using Kruskal Wallis and Kolmogorov Smirnov tests in PRISM vr.9. During the 24-96 h lag phase isolates with and without variants in rv0678 showed a similar growth inhibition pattern. No difference was noted in growth inhibition between BDQ resistant isolates and H37Rv. These findings suggest that role of alternate mechanisms in contributing to BDQ tolerance needs to be explored.
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Affiliation(s)
- Dania Khalid Saeed
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
| | - Javaria Ashraf
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
| | - Zahra Hasan
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
| | - Sadia Shakoor
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
| | - Akbar Kanji
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
| | - Rumina Hasan
- Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, UK.
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Jäger HY, Maixner F, Pap I, Szikossy I, Pálfi G, Zink AR. Metagenomic analysis reveals mixed Mycobacterium tuberculosis infection in a 18th century Hungarian midwife. Tuberculosis (Edinb) 2022; 137:102181. [PMID: 35210171 DOI: 10.1016/j.tube.2022.102181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/12/2022] [Accepted: 02/03/2022] [Indexed: 01/24/2023]
Abstract
The Vác Mummy Collection comprises 265 well documented mummified individuals from the late 16th to the early 18th century that were discovered in 1994 inside a crypt in Vác, Hungary. This collection offers a unique opportunity to study the relationship between humans and pathogens in the pre-antibiotic era, as previous studies have shown a high proportion of tuberculosis (TB) infections among the individuals. In this study, we recovered ancient DNA with shotgun sequencing from a rib bone sample of a 18th century midwife. This individual is part of the collection and shows clear skeletal changes that are associated with tuberculosis and syphilis. To provide molecular proof, we applied a metagenomic approach to screen for ancient pathogen DNA. While we were unsuccessful to recover any ancient Treponema pallidum DNA, we retrieved high coverage ancient TB DNA and identified a mixed infection with two distinct TB strains by detailed single-nucleotide polymorphism and phylogenetic analysis. Thereby, we have obtained comprehensive results demonstrating the long-time prevalence of mixed infections with the sublineages L4.1.2.1/Haarlem and L4.10/PGG3 within the local community in preindustrial Hungary and put them in context of sociohistorical factors.
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Affiliation(s)
- Heidi Y Jäger
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
| | - Frank Maixner
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
| | - Ildikó Pap
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary; Department of Anthropology, Hungarian Natural History Museum, 1083, Budapest, Ludovika tér 2-6, Hungary; Department of Biological Anthropology, Eötvös Loránd University, Faculty of Science, 1117, Budapest, Pázmány Péter sétány 1/c, Hungary.
| | - Ildikó Szikossy
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary; Department of Anthropology, Hungarian Natural History Museum, 1083, Budapest, Ludovika tér 2-6, Hungary.
| | - György Pálfi
- Department of Biological Anthropology, Faculty of Science and Informatics, University of Szeged, 6726, Szeged, Közép Fasor 52, Hungary.
| | - Albert R Zink
- Institute for Mummy Studies, Eurac Research, Viale Druso, 1, 39100, Bolzano, Italy.
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Kim N, Seok KH, Shin S, Kim B, Park H, Roh EY, Yoon JH, Shin S. Evaluation of Five User-Friendly Whole Genome Sequencing Software for Mycobacterium tuberculosis in Clinical Application. J Korean Med Sci 2022; 37:e328. [PMID: 36631026 PMCID: PMC9705210 DOI: 10.3346/jkms.2022.37.e328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/15/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Whole genome sequencing (WGS) is an increasingly useful tool for tuberculosis (TB) diagnosis and disease management. In this study, we evaluated the utility of user-friendly WGS tools in reporting resistance profiles and identifying lineages of clinical TB isolates from South Korea. METHODS Forty clinical samples from TB patients showing discrepancies between their rapid molecular and conventional drug susceptibility tests were used in this study. Among these clinical isolates, 37 strains were successfully evaluated via WGS software, using the GenTB, TB Profiler, PhyResSE, CASTB, and Mykrobe. RESULTS More accurate and faster susceptibility results could be obtained with isoniazid than with rifampin. Using the phenotypic test as the gold standard, the isoniazid concordance rate between phenotypic drug susceptibility test (DST) and WGS (GenTB: 45.9%, TB profiler: 40.5%, PhyResSE: 40.5%, CASTB: 48.6%, and Mykrobe: 43.2%) was much higher than between phenotypic DST and rapid molecular genotypic DST (18.9%) among the 37 strains. In contrast, the rifampin concordance rate between phenotypic DST and WGS and that between phenotypic DST and rapid molecular genotypic DST was similar (81.1-89.2%). We also found novel mutations associated with INH in katG and ahpC gene region, not covered by the line probe assay. In addition, lineage analysis identified 81.1% of these samples as L2 East Asian lineage strains, and 18.9% as L4 Euro-American lineage strains. CONCLUSION WGS may play a pivotal role in TB diagnosis and the detection of drug resistance, genetic diversity, and transmission dynamics in the near future because of its accuracy, speed, and extensibility.
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Affiliation(s)
- Namhee Kim
- Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwang Hyuk Seok
- Laboratory Medicine Center, The Korean Institute of Tuberculosis, Cheongju, Korea
| | - Soyoun Shin
- Laboratory Medicine Center, The Korean Institute of Tuberculosis, Cheongju, Korea
- Seegene Medical Foundation, Daejeon, Korea
| | - Boram Kim
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Hyunwoong Park
- Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Youn Roh
- Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jong Hyun Yoon
- Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Sue Shin
- Department of Laboratory Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea.
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Liu Z, Jiang Z, Wu W, Xu X, Ma Y, Guo X, Zhang S, Sun Q. Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly. Front Microbiol 2022; 13:984582. [PMID: 36160240 PMCID: PMC9493256 DOI: 10.3389/fmicb.2022.984582] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/15/2022] [Indexed: 11/21/2022] Open
Abstract
Mycobacterium tuberculosis complex (MTBC), the main cause of TB in humans and animals, is an extreme example of genetic homogeneity, whereas it is still nevertheless separated into various lineages by numerous typing methods, which differ in phenotype, virulence, geographic distribution, and host preference. The large sequence polymorphism (LSP), incorporating region of difference (RD) and H37Rv-related deletion (RvD), is considered to be a powerful means of constructing phylogenetic relationships within MTBC. Although there have been many studies on LSP already, focusing on the distribution of RDs in MTBC and their impact on MTB phenotypes, a crumb of new lineages or sub-lineages have been excluded and RvDs have received less attention. We, therefore, sampled a dataset of 1,495 strains, containing 113 lineages from the laboratory collection, to screen for RDs and RvDs by structural variant detection and genome assembly, and examined the distribution of RvDs in MTBC, including RvD2, RvD5, and cobF region. Consistent with genealogical delineation by single nucleotide polymorphism (SNP), we identified 125 RDs and 5 RvDs at the species, lineage, or sub-lineage levels. The specificities of RDs and RvDs were further investigated in the remaining 10,218 strains, suggesting that most of them were highly specific to distinct phylogenetic groups, could be used as stable genetic markers in genotyping. More importantly, we identified 34 new lineage or evolutionary branch specific RDs and 2 RvDs, also demonstrated the distribution of known RDs and RvDs in MTBC. This study provides novel details about deletion events that have occurred in distinct phylogenetic groups and may help to understand the genealogical differentiation.
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Affiliation(s)
- Zhuochong Liu
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Zhonghua Jiang
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Wei Wu
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xinyi Xu
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yudong Ma
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xiaomei Guo
- College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Senlin Zhang
- College of Biomass Science and Engineering, Sichuan University, Chengdu, China
| | - Qun Sun
- Key Laboratory of Bio-Resources and Eco-Environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
- *Correspondence: Qun Sun,
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Spadar A, Phelan J, Elias R, Modesto A, Caneiras C, Marques C, Lito L, Pinto M, Cavaco-Silva P, Ferreira H, Pomba C, Da Silva GJ, Saavedra MJ, Melo-Cristino J, Duarte A, Campino S, Perdigão J, Clark TG. Genomic epidemiological analysis of Klebsiella pneumoniae from Portuguese hospitals reveals insights into circulating antimicrobial resistance. Sci Rep 2022; 12:13791. [PMID: 35963896 PMCID: PMC9375070 DOI: 10.1038/s41598-022-17996-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 08/03/2022] [Indexed: 11/30/2022] Open
Abstract
Klebsiella pneumoniae (Kp) bacteria are an increasing threat to public health and represent one of the most concerning pathogens involved in life-threatening infections and antimicrobial resistance (AMR). To understand the epidemiology of AMR of Kp in Portugal, we analysed whole genome sequencing, susceptibility testing and other meta data on 509 isolates collected nationwide from 16 hospitals and environmental settings between years 1980 and 2019. Predominant sequence types (STs) included ST15 (n = 161, 32%), ST147 (n = 36, 7%), ST14 (n = 26, 5%) or ST13 (n = 26, 5%), while 31% of isolates belonged to STs with fewer than 10 isolates. AMR testing revealed widespread resistance to aminoglycosides, fluoroquinolones, cephalosporins and carbapenems. The most common carbapenemase gene was blaKPC-3. Whilst the distribution of AMR linked plasmids appears uncorrelated with ST, their frequency has changed over time. Before year 2010, the dominant plasmid group was associated with the extended spectrum beta-lactamase gene blaCTX-M-15, but this group appears to have been displaced by another carrying the blaKPC-3 gene. Co-carriage of blaCTX-M and blaKPC-3 was uncommon. Our results from the largest genomics study of Kp in Portugal highlight the active transmission of strains with AMR genes and provide a baseline set of variants for future resistance monitoring and epidemiological studies.
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Affiliation(s)
- Anton Spadar
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Jody Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Rita Elias
- Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Ana Modesto
- Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Cátia Caneiras
- Microbiology Research Laboratory of Environmental Health (EnviHealthMicro Lab), Institute of Environmental Health (ISAMB) and Institute of Preventive Medicine and Public Health (IMP&SP), Faculty of Medicine, Universidade de Lisboa, Lisbon, Portugal
| | - Cátia Marques
- Faculdade de Medicina Veterinária, Universidade Lusófona de Humanidades E Tecnologias, Lisbon, Portugal
| | - Luís Lito
- Laboratório de Microbiologia, Serviço de Patologia Clínica, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
| | - Margarida Pinto
- Laboratório de Microbiologia, Serviço de Patologia Clínica, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal
| | - Patrícia Cavaco-Silva
- Centro de Investigação Interdisciplinar Egas Moniz, Instituto Universitário Egas Moniz, Caparica, Portugal
- Technophage, Lisboa, Portugal
| | - Helena Ferreira
- UCIBIO, Microbiology Service, Biological Sciences Department, Faculty of Pharmacy, University of Porto, Porto, Portugal
| | - Constança Pomba
- Centre of Interdisciplinary Research in Animal Health (CIISA), Faculty of Veterinary Medicine, University of Lisbon, Avenida da Universidade Técnica, 1300-477, Lisboa, Portugal
| | - Gabriela J Da Silva
- Faculty of Pharmacy and Center for Neurosciences and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Maria José Saavedra
- Laboratory Medical Microbiology, Department of Veterinary Sciences, CITAB-Centre for the Research and Technology Agro-Environmental and Biological Sciences, University of Trás-Os-Montes and Alto Douro, Vila Real, Portugal
| | - José Melo-Cristino
- Laboratório de Microbiologia, Serviço de Patologia Clínica, Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal
- Instituto de Microbiologia, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Aida Duarte
- Centro de Investigação Interdisciplinar Egas Moniz, Instituto Universitário Egas Moniz, Caparica, Portugal
- Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - João Perdigão
- Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
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Khan MT, Khan TA, Ahmad I, Muhammad S, Wei DQ. Diversity and novel mutations in membrane transporters of Mycobacterium tuberculosis. Brief Funct Genomics 2022; 22:168-179. [PMID: 35868449 DOI: 10.1093/bfgp/elac018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/29/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Mycobacterium tuberculosis (MTB), the causative agent of tuberculosis (TB), encodes a family of membrane proteins belonging to Resistance-Nodulation-Cell Division (RND) permeases also called multidrug resistance pumps. Mycobacterial membrane protein Large (MmpL) transporters represent a subclass of RND transporters known to participate in exporting of lipid components across the cell envelope. These proteins perform an essential role in MTB survival; however, there are no data regarding mutations in MmpL, polyketide synthase (PKS) and acyl-CoA dehydrogenase FadE proteins from Khyber Pakhtunkhwa, Pakistan. This study aimed to screen mutations in transmembrane transporter proteins including MmpL, PKS and Fad through whole-genome sequencing (WGS) in local isolates of Khyber Pakhtunkhwa province, Pakistan. Fourteen samples were collected from TB patients and drug susceptibility testing was performed. However, only three samples were completely sequenced. Moreover, 209 whole-genome sequences of the same geography were also retrieved from NCBI GenBank to analyze the diversity of mutations in MmpL, PKS and Fad proteins. Among the 212 WGS (Accession ID: PRJNA629298, PRJNA629388, and ERR2510337-ERR2510345, ERR2510546-ERR2510645), numerous mutations in Fad (n = 756), PKS (n = 479), and MmpL (n = 306) have been detected. Some novel mutations were also detected in MmpL, PKS and acyl-CoA dehydrogenase Fad. Novel mutations including Asn576Ser in MmpL8, Val943Gly in MmpL9 and Asn145Asp have been detected in MmpL3. The presence of a large number of mutations in the MTB membrane may have functional consequences on proteins. However, further experimental studies are needed to elucidate the variants' effect on MmpL, PKS and FadE functions.
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Affiliation(s)
- Muhammad Tahir Khan
- Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore, Pakistan
| | - Taj Ali Khan
- Institute of Pathology and Diagnostic Medicine, Khyber Medical University, Phase V, Hayatabad, Peshawar, Khyber Pakhtunkhwa, 26000, Pakistan
| | - Irshad Ahmad
- Department of Molecular Biology and Genetics. Institute of Basic Medical Sciences, Khyber Medical University, Peshawar, Pakistan
| | - Shabbir Muhammad
- Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia
| | - Dong-Qing Wei
- State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, Ministry of Education and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.,Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen, Guangdong, 518055, P.R. China
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Molina-Torres CA, Quinn FD, Castro-Garza J, Gómez-Velasco A, Ocampo-Candiani J, Bencomo-Alerm A, Sánchez-Pérez HJ, Muñoz-Jiménez S, Rendón A, Ansari A, Sharma M, Singh P, Vera-Cabrera L. Genetic Diversity of Mycobacterium tuberculosis Isolates From an Amerindian Population in Chiapas, México. Front Cell Infect Microbiol 2022; 12:875909. [PMID: 35909960 PMCID: PMC9326120 DOI: 10.3389/fcimb.2022.875909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
This is the first report of the genetic diversity of the Mycobacterium tuberculosis complex isolates found in a Mexican-Amerindian setting. In this study, we analyzed isolates collected from the Highlands region of Chiapas, Mexico, by using spoligotyping and whole-genome sequencing analyses. Seventy-three M. tuberculosis isolates were analyzed initially by spoligotyping; no new spoligotypes were identified. Nineteen percent of the isolates were identified as SIT53 (T1) (n = 14), followed by SIT42 (14%, n = 10, LAM9) and SIT119 (11%; n = 8, X1). SIT53, SIT42, and orphan isolates (16.4%, n = 12) constituted about 50% of the isolates studied and were subjected to whole-genome sequencing (WGS) analysis. Most SIT53 (10/12) isolates belonged to the Euro-American sub-lineage 4.8. Most SIT42 isolates (4/7) as .well as most orphan isolates (5/8) belonged to the lineage 4.3.3 LAM group. By comparing the single-nucleotide polymorphism (SNP) patterns of the SIT53 isolates, we found one clone (<7 SNPs) and four clustered isolates (<15 SNPs). In isolates from the SIT42 and orphan groups, we did not find any clones or clusters. This work demonstrates the success of sub-lineage 4.8 to predominate in Mexico and confirms the dominion of sub-lineage 4.3.3 in Central and South America.
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Affiliation(s)
- Carmen A. Molina-Torres
- Laboratorio Interdisciplinario de Investigación Dermatológica, Servicio de Dermatología, Hospital Universitario, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Frederick D. Quinn
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, United States
| | - Jorge Castro-Garza
- Centro de Investigación Biomédica del Noreste, Instituto Mexicano del Seguro Social, Monterrey, Mexico
| | - Anaximandro Gómez-Velasco
- Departamento de Ecología Humana, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Unidad Mérida, Mérida, Mexico
| | - Jorge Ocampo-Candiani
- Laboratorio Interdisciplinario de Investigación Dermatológica, Servicio de Dermatología, Hospital Universitario, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Alied Bencomo-Alerm
- Laboratorio de Micobacterias, Programa de Prevención y Control de la Tuberculosis, región Altos de Chiapas, Instituto de Salud del Estado de Chiapas, Secretaría de Salud (SSA), San Cristóbal de Las Casas, Mexico
| | | | - Sergio Muñoz-Jiménez
- Laboratorio de Micobacterias, Programa de Prevención y Control de la Tuberculosis, región Altos de Chiapas, Instituto de Salud del Estado de Chiapas, Secretaría de Salud (SSA), San Cristóbal de Las Casas, Mexico
| | - Adrián Rendón
- Centro de Investigación, Prevención y Tratamiento de Infecciones Respiratorias, Hospital Universitario, Universidad Autónoma de Nuevo León, Monterrey, Mexico
| | - Afzal Ansari
- Microbial Pathogenesis and Genomics Lab, ICMR-National Institute of Research in Tribal Health, Jabalpur, India
| | - Mukul Sharma
- Microbial Pathogenesis and Genomics Lab, ICMR-National Institute of Research in Tribal Health, Jabalpur, India
| | - Pushpendra Singh
- Microbial Pathogenesis and Genomics Lab, ICMR-National Institute of Research in Tribal Health, Jabalpur, India
| | - Lucio Vera-Cabrera
- Laboratorio Interdisciplinario de Investigación Dermatológica, Servicio de Dermatología, Hospital Universitario, Universidad Autónoma de Nuevo León, Monterrey, Mexico
- *Correspondence: Lucio Vera-Cabrera,
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Origin and Global Expansion of Mycobacterium tuberculosis Complex Lineage 3. Genes (Basel) 2022; 13:genes13060990. [PMID: 35741753 PMCID: PMC9222951 DOI: 10.3390/genes13060990] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/14/2022] [Accepted: 05/19/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary Tuberculosis still causes 1.5 million deaths annually and is mainly caused by Mycobacterium tuberculosis complex strains belonging to three evolutionary modern lineages (Lineages 2–4). While Lineage 2 and Lineage 4 virtually conquered the world, Lineage 3 is particularly successful in Northern and Eastern Africa, as well as in Southern Asia, the suspected evolutionary origin of these strains. Here, we sought to understand how Lineage 3 strains came to the African continent. To this end, we performed routine genotyping to characterize over 2500 clinical isolates from 38 countries. We then selected a representative collection of 373 isolates for a whole-genome analysis and a modeling approach to infer the geographic origin of different sublineages. In fact, the origin of Lineage 3 could be located in India, and we found evidence for independent introductions of four distinct sublineages into North/East Africa, in line with known ancient exchanges and migrations between both world regions. Our study illustrates that the evolutionary history of humans and their pathogens are closely connected and further provides a systematic understanding of the genomic diversity of Lineage 3, which could be important for the development of new tuberculosis vaccines or new therapeutics. Abstract Mycobacterium tuberculosis complex (MTBC) Lineage 3 (L3) strains are abundant in world regions with the highest tuberculosis burden. To investigate the population structure and the global diversity of this major lineage, we analyzed a dataset comprising 2682 L3 strains from 38 countries over 5 continents, by employing 24-loci mycobacterial interspersed repetitive unit-variable number of tandem repeats genotyping (MIRU-VNTR) and drug susceptibility testing. We further combined whole-genome sequencing (WGS) and phylogeographic analysis for 373 strains representing the global L3 genetic diversity. Ancestral state reconstruction confirmed that the origin of L3 strains is located in Southern Asia and further revealed multiple independent introduction events into North-East and East Africa. This study provides a systematic understanding of the global diversity of L3 strains and reports phylogenetic variations that could inform clinical trials which evaluate the effectivity of new drugs/regimens or vaccine candidates.
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50
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Whole-genome sequencing of Mycobacterium tuberculosis from Cambodia. Sci Rep 2022; 12:7693. [PMID: 35562174 PMCID: PMC9095694 DOI: 10.1038/s41598-022-10964-9] [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: 09/29/2021] [Accepted: 04/04/2022] [Indexed: 01/07/2023] Open
Abstract
Cambodia has one of the highest tuberculosis (TB) incidence rates in the WHO Western Pacific region. Remarkably though, the prevalence of multidrug-resistant TB (MDR-TB) remains low. We explored the genetic diversity of Mycobacterium tuberculosis (MTB) circulating in this unique setting using whole-genome sequencing (WGS). From October 2017 until January 2018, we collected one hundred sputum specimens from consenting adults older than 21 years of age, newly diagnosed with bacteriologically confirmed TB in 3 districts of Phnom Penh and Takeo provinces of Cambodia before they commence on their TB treatment, where eighty MTB isolates were successfully cultured and sequenced. Majority of the isolates belonged to Lineage 1 (Indo-Oceanic) (69/80, 86.25%), followed by Lineage 2 (East Asian) (10/80, 12.5%) and Lineage 4 (Euro-American) (1/80, 1.25%). Phenotypic resistance to both streptomycin and isoniazid was found in 3 isolates (3/80, 3.75%), while mono-resistance to streptomycin and isoniazid was identical at 2.5% (N = 2 each). None of the isolates tested was resistant to either rifampicin or ethambutol. The specificities of genotypic prediction for resistance to all drugs tested were 100%, while the sensitivities of genotypic resistance predictions to isoniazid and streptomycin were lower at 40% (2/5) and 80% (4/5) respectively. We identified 8 clusters each comprising of two to five individuals all residing in the Takeo province, making up half (28/56, 50%) of all individuals sampled in the province, indicating the presence of multiple ongoing transmission events. All clustered isolates were of Lineage 1 and none are resistant to any of the drugs tested. This study while demonstrating the relevance and utility of WGS in predicting drug resistance and inference of disease transmission, highlights the need to increase the representation of genotype-phenotype TB data from low and middle income countries in Asia and Africa to improve the accuracies for prediction of drug resistance.
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