BACKGROUND: It has been accepted that the infection by Mycobacterium tuberculosis (M. tuberculosis) can be more heterogeneous than considered. The emergence of clonal variants caused by microevolution events leading to population heterogeneity is a phenomenon largely unexplored. Until now, we could only superficially analyze this phenomenon by standard fingerprinting (RFLP and VNTR). METHODS: In this study we applied whole genome sequencing for a more in-depth analysis of the scale of microevolution both at the intrapatient and interpatient scenarios. RESULTS: We found that the amount of variation accumulated within a patient can be as high as that observed between patients along a chain of transmission. Intrapatient diversity was found both at the extrapulmonary and respiratory sites, meaning that this variability can be transmitted and impact on the inference of transmission events. One of the events studied allowed us to track for a single strain the complete process of (i) interpatient microevolution, (ii) intrapatient respiratory variation, and (iii) isolation of different variants at different infected sites of this patient. CONCLUSIONS: Our study adds new data to the understanding of variability in M. tuberculosis in a wide clinical scenario and alerts about the difficulties of establishing thresholds to differentiate relatedness in M. tuberculosis with epidemiological purposes.
BACKGROUND: It has been accepted that the infection by Mycobacterium tuberculosis (M. tuberculosis) can be more heterogeneous than considered. The emergence of clonal variants caused by microevolution events leading to population heterogeneity is a phenomenon largely unexplored. Until now, we could only superficially analyze this phenomenon by standard fingerprinting (RFLP and VNTR). METHODS: In this study we applied whole genome sequencing for a more in-depth analysis of the scale of microevolution both at the intrapatient and interpatient scenarios. RESULTS: We found that the amount of variation accumulated within a patient can be as high as that observed between patients along a chain of transmission. Intrapatient diversity was found both at the extrapulmonary and respiratory sites, meaning that this variability can be transmitted and impact on the inference of transmission events. One of the events studied allowed us to track for a single strain the complete process of (i) interpatient microevolution, (ii) intrapatient respiratory variation, and (iii) isolation of different variants at different infected sites of this patient. CONCLUSIONS: Our study adds new data to the understanding of variability in M. tuberculosis in a wide clinical scenario and alerts about the difficulties of establishing thresholds to differentiate relatedness in M. tuberculosis with epidemiological purposes.
Authors: Kristin N Nelson; N Sarita Shah; Barun Mathema; Nazir Ismail; James C M Brust; Tyler S Brown; Sara C Auld; Shaheed Vally Omar; Natashia Morris; Angie Campbell; Salim Allana; Pravi Moodley; Koleka Mlisana; Neel R Gandhi Journal: J Infect Dis Date: 2018-11-05 Impact factor: 5.226
Authors: Sara C Auld; N Sarita Shah; Barun Mathema; Tyler S Brown; Nazir Ismail; Shaheed Vally Omar; James C M Brust; Kristin N Nelson; Salim Allana; Angela Campbell; Koleka Mlisana; Pravi Moodley; Neel R Gandhi Journal: Eur Respir J Date: 2018-10-18 Impact factor: 16.671
Authors: Tami D Lieberman; Douglas Wilson; Reshma Misra; Lealia L Xiong; Prashini Moodley; Ted Cohen; Roy Kishony Journal: Nat Med Date: 2016-10-31 Impact factor: 53.440
Authors: María Isabel Millán-Lou; Isabel Otal; María Luisa Monforte; María Asunción Vitoria; María José Revillo; Carlos Martín; Sofía Samper Journal: J Clin Microbiol Date: 2015-05-06 Impact factor: 5.948
Authors: Laura Pérez-Lago; Yurena Navarro; Pedro Montilla; Iñaki Comas; Marta Herranz; Carlos Rodríguez-Gallego; María Jesús Ruiz Serrano; Emilio Bouza; Darío García de Viedma Journal: J Clin Microbiol Date: 2015-08-12 Impact factor: 5.948