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Su F, Cao L, Ren X, Hu J, Tavengana G, Wu H, Zhou Y, Fu Y, Jiang M, Wen Y. The mutation rate of rpoB gene showed an upward trend with the increase of MIRU10, MIRU39 and QUB4156 repetitive number. BMC Genomics 2023; 24:26. [PMID: 36646991 PMCID: PMC9843906 DOI: 10.1186/s12864-023-09120-y] [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: 06/09/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) is a frequently used typing method for identifying the Beijing genotype of Mycobacterium tuberculosis (Mtb), which is easily transformed into rifampicin (RIF) resistance. The RIF resistance of Mtb is considered to be highly related with the mutation of rpoB gene. Therefore, this study aimed to analyze the relationship between the repetitive number of MIRU loci and the mutation of rpoB gene. METHODS An open-source whole-genome sequencing data of Mtb was used to detect the mutation of rpoB gene and the repetitive number of MIRU loci by bioinformatics methods. Cochran-Armitage analysis was performed to analyze the trend of the rpoB gene mutation rate and the repetitive number of MIRU loci. RESULTS Among 357 rifampicin-resistant tuberculosis (RR-TB), 304 strains with mutated rpoB genes were detected, and 6 of 67 rifampicin susceptible strains were detected mutations. The rpoB gene mutational rate showed an upward trend with the increase of MIRU10, MIRU39, QUB4156 and MIRU16 repetitive number, but only the repetitive number of MIRU10, MRIU39 and QUB4156 were risk factors for rpoB gene mutation. The Hunter-Gaston discriminatory index (HGDI) of MIRU10 (0.65) and QUB4156 (0.62) was high in the overall sample, while MIRU39 (0.39) and MIRU16 (0.43) showed a moderate discriminatory Power. CONCLUSION The mutation rate of rpoB gene increases with the addition of repetitive numbers of MIRU10, QUB4156 and MIRU39 loci.
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Affiliation(s)
- Fan Su
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Lei Cao
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Xia Ren
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Jian Hu
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Grace Tavengana
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Huan Wu
- grid.443626.10000 0004 1798 4069School of Laboratory Medicine, Wannan Medical College, Wuhu, Anhui Province China
| | - Yumei Zhou
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Yuhan Fu
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
| | - Mingfei Jiang
- grid.443626.10000 0004 1798 4069School of Clinical Medicine, Wannan Medical College, Wuhu, Anhui Province China
| | - Yufeng Wen
- grid.443626.10000 0004 1798 4069School of Public Health, Wannan Medical College, Wuhu, Anhui Province China
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Smith TM, Youngblom MA, Kernien JF, Mohamed MA, Fry SS, Bohr LL, Mortimer TD, O'Neill MB, Pepperell CS. Rapid adaptation of a complex trait during experimental evolution of Mycobacterium tuberculosis. eLife 2022; 11:e78454. [PMID: 35726854 PMCID: PMC9213004 DOI: 10.7554/elife.78454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/15/2022] [Indexed: 12/30/2022] Open
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (M. tb), is a leading cause of death due to infectious disease. TB is not traditionally associated with biofilms, but M. tb biofilms are linked with drug and immune tolerance and there is increasing recognition of their contribution to the recalcitrance of TB infections. Here, we used M. tb experimental evolution to investigate this complex phenotype and identify candidate loci controlling biofilm formation. We identified novel candidate loci, adding to our understanding of the genetic architecture underlying M. tb biofilm development. Under selective pressure to grow as a biofilm, regulatory mutations rapidly swept to fixation and were associated with changes in multiple traits, including extracellular matrix production, cell size, and growth rate. Genetic and phenotypic paths to enhanced biofilm growth varied according to the genetic background of the parent strain, suggesting that epistatic interactions are important in M. tb adaptation to changing environments.
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Affiliation(s)
| | - Madison A Youngblom
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
- Microbiology Doctoral Training Program, University of Wisconsin-MadisonMadisonUnited States
| | - John F Kernien
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
| | - Mohamed A Mohamed
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
| | - Sydney S Fry
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
| | - Lindsey L Bohr
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
- Microbiology Doctoral Training Program, University of Wisconsin-MadisonMadisonUnited States
| | - Tatum D Mortimer
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public HealthBostonUnited States
| | - Mary B O'Neill
- Laboratoire de Biochimie (LBC), Chimie Biologie et Innovation, ESPCI Paris, PSL UniversitéParisFrance
| | - Caitlin S Pepperell
- Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
- Department of Medicine (Infectious Diseases), School of Medicine and Public Health, University of Wisconsin-MadisonMadisonUnited States
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3
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Byrne AS, Goudreau A, Bissonnette N, Shamputa IC, Tahlan K. Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review. Front Genet 2020; 11:600692. [PMID: 33408740 PMCID: PMC7779811 DOI: 10.3389/fgene.2020.600692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/19/2020] [Indexed: 12/22/2022] Open
Abstract
Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with multiple strains of a single pathogenic species. Known to occur in humans and animals, MSIs deserve special consideration when studying transmission dynamics, evolution, and treatment of mycobacterial diseases, notably tuberculosis in humans and paratuberculosis (or Johne's disease) in ruminants. Therefore, a systematic review was conducted to examine how MSIs are defined in the literature, how widespread the phenomenon is across the host species spectrum, and to document common methods used to detect such infections. Our search strategy identified 121 articles reporting MSIs in both humans and animals, the majority (78.5%) of which involved members of the Mycobacterium tuberculosis complex, while only a few (21.5%) examined non-tuberculous mycobacteria (NTM). In addition, MSIs exist across various host species, but most reports focused on humans due to the extensive amount of work done on tuberculosis. We reviewed the strain typing methods that allowed for MSI detection and found a few that were commonly employed but were associated with specific challenges. Our review notes the need for standardization, as some highly discriminatory methods are not adapted to distinguish between microevolution of one strain and concurrent infection with multiple strains. Further research is also warranted to examine the prevalence of NTM MSIs in both humans and animals. In addition, it is envisioned that the accurate identification and a better understanding of the distribution of MSIs in the future will lead to important information on the epidemiology and pathophysiology of mycobacterial diseases.
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Affiliation(s)
| | - Alex Goudreau
- Science & Health Sciences Librarian, University of New Brunswick, Saint John, NB, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Center, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada
| | - Isdore Chola Shamputa
- Department of Nursing & Health Sciences, University of New Brunswick, Saint John, NB, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada
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4
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Liang PK, Zheng C, Xu XF, Zhao ZZ, Zhao CS, Li CH, Couvin D, Reynaud Y, Zozio T, Rastogi N, Sun Q. Local adaptive evolution of two distinct clades of Beijing and T families of Mycobacterium tuberculosis in Chongqing: a Bayesian population structure and phylogenetic study. Infect Dis Poverty 2020; 9:59. [PMID: 32487156 PMCID: PMC7268252 DOI: 10.1186/s40249-020-00674-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 05/14/2020] [Indexed: 11/21/2022] Open
Abstract
Background Beijing sub-pedigree 2 (BSP2) and T sub-lineage 6 (TSL6) are two clades belonging to Beijing and T family of Mycobacterium tuberculosis (MTB), respectively, defined by Bayesian population structure analysis based on 24-loci mycobacterial interspersed repetitive unit-variable number of tandem repeats (MIRU-VNTR). Globally, over 99% of BSP2 and 89% of TSL6 isolates were distributed in Chongqing, suggesting their possible local adaptive evolution. The objective of this paper is to explore whether BSP2 and TSL6 originated by their local adaptive evolution from the specific isolates of Beijing and T families in Chongqing. Methods The genotyping data of 16 090 MTB isolates were collected from laboratory collection, published literatures and SITVIT database before subjected to Bayesian population structure analysis based on 24-loci MIRU-VNTR. Spacer Oligonucleotide Forest (Spoligoforest) and 24-loci MIRU-VNTR-based minimum spanning tree (MST) were used to explore their phylogenetic pathways, with Bayesian demographic analysis for exploring the recent demographic change of TSL6. Results Phylogenetic analysis suggested that BSP2 and TSL6 in Chongqing may evolve from BSP4 and TSL5, respectively, which were locally predominant in Tibet and Jiangsu, respectively. Spoligoforest showed that Beijing and T families were genetically distant, while the convergence of the MIRU-VNTR pattern of BSP2 and TSL6 was revealed by WebLogo. The demographic analysis concluded that the recent demographic change of TSL6 might take 111.25 years. Conclusions BSP2 and TSL6 clades might originate from BSP4 and TSL5, respectively, by their local adaptive evolution in Chongqing. Our study suggests MIRU-VNTR be combined with other robust markers for a more comprehensive genotyping approach, especially for families of clades with the same MIRU-VNTR pattern.
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Affiliation(s)
- Peng-Kuan Liang
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China
| | - Chao Zheng
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China.,Bacteriology & Antibacterial Resistance Surveillance Laboratory, Shenzhen Institute of Respiratory Disease, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of SUSTC, Shenzhen, 518020, China.,Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, 510632, China
| | - Xiao-Fang Xu
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China
| | - Zhe-Ze Zhao
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China.,School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Chang-Song Zhao
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China
| | - Chang-He Li
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China
| | - David Couvin
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes Cedex, Guadeloupe, France
| | - Yann Reynaud
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes Cedex, Guadeloupe, France
| | - Thierry Zozio
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes Cedex, Guadeloupe, France
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de Guadeloupe, Abymes Cedex, Guadeloupe, France
| | - Qun Sun
- Key Laboratory of Bio-resources and Eco-environment of the Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, 610065, People's Republic of China.
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5
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Deciphering Within-Host Microevolution of Mycobacterium tuberculosis through Whole-Genome Sequencing: the Phenotypic Impact and Way Forward. Microbiol Mol Biol Rev 2019; 83:83/2/e00062-18. [PMID: 30918049 DOI: 10.1128/mmbr.00062-18] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The Mycobacterium tuberculosis genome is more heterogenous and less genetically stable within the host than previously thought. Currently, only limited data exist on the within-host microevolution, diversity, and genetic stability of M. tuberculosis As a direct consequence, our ability to infer M. tuberculosis transmission chains and to understand the full complexity of drug resistance profiles in individual patients is limited. Furthermore, apart from the acquisition of certain drug resistance-conferring mutations, our knowledge on the function of genetic variants that emerge within a host and their phenotypic impact remains scarce. We performed a systematic literature review of whole-genome sequencing studies of serial and parallel isolates to summarize the knowledge on genetic diversity and within-host microevolution of M. tuberculosis We identified genomic loci of within-host emerged variants found across multiple studies and determined their functional relevance. We discuss important remaining knowledge gaps and finally make suggestions on the way forward.
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6
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Herranz M, Pole I, Ozere I, Chiner-Oms Á, Martínez-Lirola M, Pérez-García F, Gijón P, Serrano MJR, Romero LC, Cuevas O, Comas I, Bouza E, Pérez-Lago L, García-de-Viedma D. Mycobacterium tuberculosis Acquires Limited Genetic Diversity in Prolonged Infections, Reactivations and Transmissions Involving Multiple Hosts. Front Microbiol 2018; 8:2661. [PMID: 29403447 PMCID: PMC5780704 DOI: 10.3389/fmicb.2017.02661] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 12/20/2017] [Indexed: 01/03/2023] Open
Abstract
Background:Mycobacterium tuberculosis (MTB) has limited ability to acquire variability. Analysis of its microevolution might help us to evaluate the pathways followed to acquire greater infective success. Whole-genome sequencing (WGS) in the analysis of the transmission of MTB has elucidated the magnitude of variability in MTB. Analysis of transmission currently depends on the identification of clusters, according to the threshold of variability (<5 SNPs) between isolates. Objective: We evaluated whether the acquisition of variability in MTB, was more frequent in situations which could favor it, namely intrapatient, prolonged infections or reactivations and interpatient transmissions involving multiple sequential hosts. Methods: We used WGS to analyze the accumulation of variability in sequential isolates from prolonged infections or translations from latency to reactivation. We then measured microevolution in transmission clusters with prolonged transmission time, high number of involved cases, simultaneous involvement of latency and active transmission. Results: Intrapatient and interpatient acquisition of variability was limited, within the ranges expected according to the thresholds of variability proposed, even though bursts of variability were observed. Conclusions: The thresholds of variability proposed for MTB seem to be valid in most circumstances, including those theoretically favoring acquisition of variability. Our data point to multifactorial modulation of microevolution, although further studies are necessary to elucidate the factors underlying this modulation.
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Affiliation(s)
- Marta Herranz
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Ilva Pole
- Childhood Tuberculosis Department, Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Riga, Latvia.,Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Iveta Ozere
- Childhood Tuberculosis Department, Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Riga, Latvia.,Department of Infectology and Dermatology, Riga Stradinš University, Riga, Latvia
| | - Álvaro Chiner-Oms
- Unidad Mixta Genómica y Salud, Centro Superior de Investigación en Salud Pública (FISABIO)-Universitat de València, Valencia, Spain
| | | | - Felipe Pérez-García
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Paloma Gijón
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - María Jesús Ruiz Serrano
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Laura Clotet Romero
- Servei de Vigilància Epidemiològica i Resposta a Emergències de Salut Pública al Vallès Occidental i Vallès Oriental, Subdirecció General de Vigilància i Resposta a Emergències de Salut Pública, Agència de Salut Pública de Catalunya, Barcelona, Spain
| | - Oscar Cuevas
- Servicio de Laboratorio, Institut d'Investigació i Innovació Parc Taulí, I3PT Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Iñaki Comas
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas, Valencia, Spain.,CIBER en Epidemiología y Salud Pública, Madrid, Spain
| | - Emilio Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Darío García-de-Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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7
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Navarro Y, Pérez-Lago L, Herranz M, Sierra O, Comas I, Sicilia J, Bouza E, García de Viedma D. In-Depth Characterization and Functional Analysis of Clonal Variants in a Mycobacterium tuberculosis Strain Prone to Microevolution. Front Microbiol 2017; 8:694. [PMID: 28484440 PMCID: PMC5403423 DOI: 10.3389/fmicb.2017.00694] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 04/04/2017] [Indexed: 11/16/2022] Open
Abstract
The role of clonal complexity has gradually been accepted in infection by Mycobacterium tuberculosis (MTB), although analyses of this issue are limited. We performed an in-depth study of a case of recurrent MTB infection by integrating genotyping, whole genome sequencing, analysis of gene expression and infectivity in in vitro and in vivo models. Four different clonal variants were identified from independent intrapatient evolutionary branches. One of the single-nucleotide polymorphisms in the variants mapped in mce3R, which encodes a repressor of an operon involved in virulence, and affected expression of the operon. Competitive in vivo and in vitro co-infection assays revealed higher infective efficiency for one of the clonal variants. A new clonal variant, which had not been observed in the clinical isolates, emerged in the infection assays and showed higher fitness than its parental strain. The analysis of other patients involved in the same transmission cluster revealed new clonal variants acquired through novel evolutionary routes, indicating a high tendency toward microevolution in some strains that is not host-dependent. Our study highlights the need for integration of various approaches to advance our knowledge of the role and significance of microevolution in tuberculosis.
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Affiliation(s)
- Yurena Navarro
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,CEI Campus Moncloa, UCM-UPMMadrid, Spain.,Centro de Vigilancia Sanitaria Veterinaria, Universidad Complutense MadridMadrid, Spain
| | - Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain
| | - Marta Herranz
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain
| | - Olalla Sierra
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain
| | - Iñaki Comas
- Unidad Mixta Genómica y Salud, Centro Superior de Investigación en Salud Pública (FISABIO)-Universitat de ValènciaValencia, Spain.,CIBER en Epidemiología y Salud PúblicaMadrid, Spain
| | - Javier Sicilia
- Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,Unidad de Medicina y Cirugía Experimental, Hospital General Universitario Gregorio MarañónMadrid, Spain
| | - Emilio Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Complutense de MadridMadrid, Spain
| | - Darío García de Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,CEI Campus Moncloa, UCM-UPMMadrid, Spain
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8
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Biological and Epidemiological Consequences of MTBC Diversity. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1019:95-116. [PMID: 29116631 DOI: 10.1007/978-3-319-64371-7_5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Tuberculosis is caused by different groups of bacteria belonging to the Mycobacterium tuberculosis complex (MTBC). The combined action of human factors, environmental conditions and bacterial virulence determine the extent and form of human disease. MTBC virulence is a composite of different clinical phenotypes such as transmission rate and disease severity among others. Clinical phenotypes are also influenced by cellular and immunological phenotypes. MTBC phenotypes are determined by the genotype, therefore finding genotypes responsible for clinical phenotypes would allow discovering MTBC virulence factors. Different MTBC strains display different cellular and clinical phenotypes. Strains from Lineage 5 and Lineage 6 are metabolically different, grow slower, and are less virulent. Also, at least certain groups of Lineage 2 and Lineage 4 strains are more virulent in terms of disease severity and human-to-human transmission. Because phenotypic differences are ultimately caused by genotypic differences, different genomic loci have been related to various cellular and clinical phenotypes. However, defining the impact of specific bacterial genomic loci on virulence when other bacterial determinants, human and environmental factors are also impacting the phenotype would contribute to a better knowledge of tuberculosis virulence and ultimately benefit tuberculosis control.
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9
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Pérez-Lago L, Rodríguez Borlado AI, Comas I, Herranz M, Ruiz-Serrano MJ, Bouza E, García-de-Viedma D. Subtle genotypic changes can be observed soon after diagnosis in Mycobacterium tuberculosis infection. Int J Med Microbiol 2016; 306:401-5. [DOI: 10.1016/j.ijmm.2016.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 04/15/2016] [Accepted: 05/09/2016] [Indexed: 11/30/2022] Open
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10
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Ssengooba W, de Jong BC, Joloba ML, Cobelens FG, Meehan CJ. Whole genome sequencing reveals mycobacterial microevolution among concurrent isolates from sputum and blood in HIV infected TB patients. BMC Infect Dis 2016; 16:371. [PMID: 27495002 PMCID: PMC4974755 DOI: 10.1186/s12879-016-1737-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2015] [Accepted: 07/28/2016] [Indexed: 03/14/2023] Open
Abstract
Background In the context of advanced immunosuppression, M. tuberculosis is known to cause detectable mycobacteremia. However, little is known about the intra-patient mycobacterial microevolution and the direction of seeding between the sputum and blood compartments. Methods From a diagnostic study of HIV-infected TB patients, 51 pairs of concurrent blood and sputum M. tuberculosis isolates from the same patient were available. In a previous analysis, we identified a subset with genotypic concordance, based on spoligotyping and 24 locus MIRU-VNTR. These paired isolates with identical genotypes were analyzed by whole genome sequencing and phylogenetic analysis. Results Of the 25 concordant pairs (49 % of the 51 paired isolates), 15 (60 %) remained viable for extraction of high quality DNA for whole genome sequencing. Two patient pairs were excluded due to poor quality sequence reads. The median CD4 cell count was 32 (IQR; 16–101)/mm3 and ten (77 %) patients were on ART. No drug resistance mutations were identified in any of the sequences analyzed. Three (23.1 %) of 13 patients had SNPs separating paired isolates from blood and sputum compartments, indicating evidence of microevolution. Using a phylogenetic approach to identify the ancestral compartment, in two (15 %) patients the blood isolate was ancestral to the sputum isolate, in one (8 %) it was the opposite, and ten (77 %) of the pairs were identical. Conclusions Among HIV-infected patients with poor cellular immunity, infection with multiple strains of M. tuberculosis was found in half of the patients. In those patients with identical strains, whole genome sequencing indicated that M. tuberculosis intra-patient microevolution does occur in a few patients, yet did not reveal a consistent direction of spread between sputum and blood. This suggests that these compartments are highly connected and potentially seed each other repeatedly. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-1737-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Willy Ssengooba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda. .,Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium. .,Department of Global Health and Amsterdam, Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
| | - Bouke C de Jong
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium.,Division of Infectious Diseases, New York University, New York, NY, USA
| | - Moses L Joloba
- Department of Medical Microbiology, College of Health Sciences Makerere University, Kampala, Uganda
| | - Frank G Cobelens
- Department of Global Health and Amsterdam, Institute of Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.,KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Conor J Meehan
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
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11
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Cheng XF, Jiang C, Zhang M, Xia D, Chu LL, Wen YF, Zhu M, Jiang YG. Mycobacterial Interspersed Repetitive Unit Can Predict Drug Resistance of Mycobacterium tuberculosis in China. Front Microbiol 2016; 7:378. [PMID: 27047485 PMCID: PMC4803746 DOI: 10.3389/fmicb.2016.00378] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 03/08/2016] [Indexed: 11/23/2022] Open
Abstract
Background: Recently, Mycobacterial Interspersed Repetitive Unit (MIRU) was supposed to be associated with drug resistance in Mycobacterium tuberculosis (M. tuberculosis), but whether the association exists actually in local strains in China was still unknown. This research was conducted to explore that association and the predictability of MIRU to drug resistance of Tuberculosis (TB). Methods: The clinical isolates were collected and the susceptibility test were conducted with Lowenstein–Jensen (LJ) medium for five anti-TB drug. Based on PCR of MIRU-VNTR (Variable Number of Tandem Repeat) genotyping, we tested the number of the repeat unite of MIRU. Then, we used logistic regression to evaluate the association between 15 MIRU and drug resistance. In addition, we explored the most suitable MIRU locus of identified MIRU loci for drug resistance by multivariate logistic regression. Results: Of the 102 strains, one isolate was resistant to rifampicin and one isolate was resistant to streptomycin. Among these fifteen MIRU, there was a association between MIRU loci polymorphism and anti-tuberculosis drug resistance, ETRB (P = 0.03, OR = 0.19, 95% CI 0.05–0.81) and ETRC (P = 0.01, OR = 0.14, 95% CI 0.03–0.64) were negatively related to isoniazid resistance; MIRU20 (P = 0.05, OR = 2.87, 95% CI 1.01–8.12) was positively associated with ethambutol resistance; and QUB11a (P = 0.02, OR = 0.79, 95% CI 0.65–0.96) was a negative association factor of p-aminosalicylic acid resistance. Conclusion: Our research showed that MIRU loci may predict drug resistance of tuberculosis in China. However, the mechanism still needs further exploration.
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Affiliation(s)
- Xian-Feng Cheng
- School of Public Health, Wannan Medical CollegeWuhu, China; Clinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences - Peking Union Medical CollegeNanjing, China
| | - Chao Jiang
- School of Public Health, Wannan Medical College Wuhu, China
| | - Min Zhang
- Clinical Laboratory, Zhongda Hospital, School of Medicine, Southeast University Nanjing, China
| | - Dan Xia
- School of Public Health, Wannan Medical College Wuhu, China
| | - Li-Li Chu
- Pediatric Research Institute, Nanjing Children's Hospital, Nanjing Medical University Nanjing, China
| | - Yu-Feng Wen
- School of Public Health, Wannan Medical College Wuhu, China
| | - Ming Zhu
- Clinical Laboratory, Ma'anshan Center for Disease Control and Prevention Ma'anshan, China
| | - Yue-Gen Jiang
- Clinical Laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences - Peking Union Medical CollegeNanjing, China; Clinical Laboratory, Ma'anshan Center for Disease Control and PreventionMa'anshan, China
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12
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Navarro Y, Romero B, Bouza E, Domínguez L, Juan LD, García-de-Viedma D. Detailed chronological analysis of microevolution events in herds infected persistently by Mycobacterium bovis. Vet Microbiol 2016; 183:97-102. [DOI: 10.1016/j.vetmic.2015.11.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 11/06/2015] [Accepted: 11/24/2015] [Indexed: 11/27/2022]
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13
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Streit E, Millet J, Rastogi N. Mycobacterium tuberculosis polyclonal infections and microevolution identified by MIRU-VNTRs in an epidemiological study. Int J Mycobacteriol 2015; 4:222-7. [DOI: 10.1016/j.ijmyco.2015.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 05/05/2015] [Accepted: 05/06/2015] [Indexed: 10/23/2022] Open
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14
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Yu-Feng W, Chao J, Xian-Feng C. Drug-resistant tuberculosis can be predicted by Mycobacterial interspersed repetitive unit locus. Front Microbiol 2015; 6:147. [PMID: 25759689 PMCID: PMC4338821 DOI: 10.3389/fmicb.2015.00147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2014] [Accepted: 02/09/2015] [Indexed: 11/25/2022] Open
Abstract
It is unknown whether MIRU-VNTR (Mycobacterial Interspersed Repetitive Unit-Variable Number of Tandem Repeat) is associated with drug resistance of Mycobacterium tuberculosis. The purpose of this study was to explore the ability of 24 MIRU loci to predict the drug resistance of Isoniazid (INH), Rifampicin (RFP), Streptomycin (SM), Ethambutol (EMB) and Pyrazinamide (PZA). We collected the drug resistance and MIRU loci information of 109 strains of M. tuberculosis from an open database. The results of multivariate logistic regression showed that the VNTR polymorphism of MTUB04 was related to INH resistance [odds ratio (OR) = 2.82, P = 0.00], RFP resistance (OR = 1.91, P = 0.02), SM resistance (OR = 1.98, P = 0.01) and EMB resistance (OR = 1.95, P = 0.03). MIRU40 was associated with INH resistance (OR = 2.22, P = 0.00). MTUB21 was connected with INH resistance (OR = 1.63, P = 0.02) and SM resistance (OR = 1.69, P = 0.01). MIRU26 was correlated with SM resistance (OR = 1.52, P = 0.04). MIRU39 was associated with EMB resistance (OR = 4.07, P = 0.02). The prediction power of MIRU loci were 0.84, 0.70, 0.85, and 0.74 respectively for INH (predicted by MTUB04, MIRU20, and MTUB21), RFP (predicted by MTUB04), SM (predicted by MTUB21 and MIRU26) and EMB (MTUB04 and MIRU39) through ROC analysis. Our results showed that MIRU loci were related to anti-tuberculosis drug and could predict the drug resistance of tuberculosis.
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Affiliation(s)
- Wen Yu-Feng
- School of Public Health, Wannan Medical College Wuhu, China
| | - Jiang Chao
- School of Public Health, Wannan Medical College Wuhu, China
| | - Cheng Xian-Feng
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Nanjing, China
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15
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Coscolla M, Gagneux S. Consequences of genomic diversity in Mycobacterium tuberculosis. Semin Immunol 2014; 26:431-44. [PMID: 25453224 PMCID: PMC4314449 DOI: 10.1016/j.smim.2014.09.012] [Citation(s) in RCA: 291] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Revised: 09/29/2014] [Accepted: 09/30/2014] [Indexed: 11/29/2022]
Abstract
The causative agent of human tuberculosis, Mycobacterium tuberculosis complex (MTBC), comprises seven phylogenetically distinct lineages associated with different geographical regions. Here we review the latest findings on the nature and amount of genomic diversity within and between MTBC lineages. We then review recent evidence for the effect of this genomic diversity on mycobacterial phenotypes measured experimentally and in clinical settings. We conclude that overall, the most geographically widespread Lineage 2 (includes Beijing) and Lineage 4 (also known as Euro-American) are more virulent than other lineages that are more geographically restricted. This increased virulence is associated with delayed or reduced pro-inflammatory host immune responses, greater severity of disease, and enhanced transmission. Future work should focus on the interaction between MTBC and human genetic diversity, as well as on the environmental factors that modulate these interactions.
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Affiliation(s)
- Mireia Coscolla
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland; University of Basel, Petersplatz 1, Basel 4003, Switzerland
| | - Sebastien Gagneux
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland; University of Basel, Petersplatz 1, Basel 4003, Switzerland.
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16
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Navarro Y, Romero B, Copano MF, Bouza E, Domínguez L, de Juan L, García-de-Viedma D. Multiple sampling and discriminatory fingerprinting reveals clonally complex and compartmentalized infections by M. bovis in cattle. Vet Microbiol 2014; 175:99-104. [PMID: 25439651 DOI: 10.1016/j.vetmic.2014.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Revised: 10/27/2014] [Accepted: 11/02/2014] [Indexed: 10/24/2022]
Abstract
The combination of new genotyping tools and a more exhaustive sampling policy in the analysis of infection by Mycobacterium tuberculosis has shown that infection by this pathogen is more complex than initially expected. Mixed infections, coexistence of clonal variants from a parental strain, and compartmentalized infections are all different modalities of this clonal complexity. Until recently, genotyping of Mycobacterium bovis in animal populations was based on spoligotyping and analysis of a single isolate per infection; therefore, clonal complexity is probably underdetected. We used multiple sampling combined with highly discriminatory MIRU-VNTR to study compartmentalized infections by M. bovis in a low-tuberculosis prevalence setting. We spoligotyped the M. bovis isolates from two or more anatomic locations sampled from 55 animals on 39 independent farms. Compartmentalized infections, with two different strains infecting independent lymph nodes in the same animal, were found in six cases (10.9%). MIRU-VNTR analysis confirmed that the compartmentalization was strict and that only one strain was present in each infected node. MIRU-VNTR analysis of additional infected animals on one of the farms confirmed that the compartmentalized infection was a consequence of superinfection, since the two strains were independently infecting other animals. This same analysis revealed the emergence of a microevolved clonal variant in one of the lymph nodes of the compartmentalized animal. Clonal complexity must also be taken into consideration in M. bovis infection, even in low-prevalence settings, and analyses must be adapted to detect it and increase the accuracy of molecular epidemiology studies.
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Affiliation(s)
- Yurena Navarro
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias CIBERES, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain
| | - Beatriz Romero
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain
| | | | - Emilio Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias CIBERES, Spain; Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Lucas Domínguez
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense Madrid, 28040 Madrid, Spain
| | - Lucía de Juan
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense Madrid, 28040 Madrid, Spain
| | - Darío García-de-Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias CIBERES, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain.
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17
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Pérez-Lago L, Palacios JJ, Herranz M, Ruiz Serrano MJ, Bouza E, García-de-Viedma D. Revealing hidden clonal complexity in Mycobacterium tuberculosis infection by qualitative and quantitative improvement of sampling. Clin Microbiol Infect 2014; 21:147.e1-7. [PMID: 25658553 DOI: 10.1016/j.cmi.2014.09.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Revised: 09/22/2014] [Accepted: 09/26/2014] [Indexed: 11/30/2022]
Abstract
The analysis of microevolution events, its functional relevance and impact on molecular epidemiology strategies, constitutes one of the most challenging aspects of the study of clonal complexity in infection by Mycobacterium tuberculosis. In this study, we retrospectively evaluated whether two improved sampling schemes could provide access to the clonal complexity that is undetected by the current standards (analysis of one isolate from one sputum). We evaluated in 48 patients the analysis by mycobacterial interspersed repetitive unit-variable number tandem repeat of M. tuberculosis isolates cultured from bronchial aspirate (BAS) or bronchoalveolar lavage (BAL) and, in another 16 cases, the analysis of a higher number of isolates from independent sputum samples. Analysis of the isolates from BAS/BAL specimens revealed clonal complexity in a very high proportion of cases (5/48); in most of these cases, complexity was not detected when the isolates from sputum samples were analysed. Systematic analysis of isolates from multiple sputum samples also improved the detection of clonal complexity. We found coexisting clonal variants in two of 16 cases that would have gone undetected in the analysis of the isolate from a single sputum specimen. Our results suggest that analysis of isolates from BAS/BAL specimens is highly efficient for recording the true clonal composition of M. tuberculosis in the lungs. When these samples are not available, we recommend increasing the number of isolates from independent sputum specimens, because they might not harbour the same pool of bacteria. Our data suggest that the degree of clonal complexity in tuberculosis has been underestimated because of the deficiencies inherent in a simplified procedure.
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Affiliation(s)
- L Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias, CIBERES, Spain
| | - J J Palacios
- Unidad de Referencia Regional de Micobacterias, Servicio de Microbiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - M Herranz
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias, CIBERES, Spain
| | - M J Ruiz Serrano
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias, CIBERES, Spain
| | - E Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias, CIBERES, Spain; Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - D García-de-Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades respiratorias, CIBERES, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain.
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18
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Relaxed selection drives a noisy noncoding transcriptome in members of the Mycobacterium tuberculosis complex. mBio 2014; 5:e01169-14. [PMID: 25096875 PMCID: PMC4128351 DOI: 10.1128/mbio.01169-14] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Related species are often used to understand the molecular underpinning of virulence through examination of a shared set of biological features attributable to a core genome of orthologous genes. An important but insufficiently studied issue, however, is the extent to which the regulatory architectures are similarly conserved. A small number of studies have compared the primary transcriptomes of different bacterial species, but few have compared closely related species with clearly divergent evolutionary histories. We addressed the impact of differing modes of evolution within the genus Mycobacterium through comparison of the primary transcriptome of M. marinum with that of a closely related lineage, M. bovis. Both are thought to have evolved from an ancestral generalist species, with M. bovis and other members of the M. tuberculosis complex having subsequently undergone downsizing of their genomes during the transition to obligate pathogenicity. M. marinum, in contrast, has retained a large genome, appropriate for an environmental organism, and is a broad-host-range pathogen. We also examined changes over a shorter evolutionary time period through comparison of the primary transcriptome of M. bovis with that of another member of the M. tuberculosis complex (M. tuberculosis) which possesses an almost identical genome but maintains a distinct host preference. Our comparison of the transcriptional start site (TSS) maps of M. marinum and M. bovis uncovers a pillar of conserved promoters, noncoding RNA (NCRNA), and a genome-wide signal in the −35 promoter regions of both species. We identify evolutionarily conserved transcriptional attenuation and highlight its potential contribution to multidrug resistance mediated through the transcriptional regulator whiB7. We show that a species population history is reflected in its transcriptome and posit relaxed selection as the main driver of an abundance of canonical −10 promoter sites in M. bovis relative to M. marinum. It appears that transcriptome composition in mycobacteria is driven primarily by the availability of such sites and that their frequencies diverge significantly across the mycobacterial clade. Finally, through comparison of M. bovis and M. tuberculosis, we illustrate that single nucleotide polymorphism (SNP)-driven promoter differences likely underpin many of the transcriptional differences between M. tuberculosis complex lineages.
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