Whole Genome Sequencing Analysis of Intrapatient Microevolution in Mycobacterium tuberculosis: Potential Impact on the Inference of Tuberculosis Transmission
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...
| Autores: | , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | España |
| Recursos: | Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO) |
| Repositorio: | r-FISABIO. Repositorio Institucional de Producción Científica |
| OAI Identifier: | oai:fisabio.fundanetsuite.com:p12582 |
| Acesso em linha: | https://fisabio.portalinvestigacion.com/publicaciones/12582 |
| Access Level: | acceso abierto |
| Palavra-chave: | tuberculosis microevolution whole genome sequencing intrapatient interpatient transmission events |
| Resumo: | 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 micro evolution 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. |
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