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Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics

Transmission is a driver of tuberculosis (TB) epidemics in high-burden regions, with assumed negligible impact in low-burden areas. However, we still lack a full characterization of transmission dynamics in settings with similar and different burdens. Genomic epidemiology can greatly help to quantif...

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Autores principales: Cancino-Muñoz, Irving, López, Mariana G, Torres-Puente, Manuela, Villamayor, Luis M, Borrás, Rafael, Borrás-Máñez, María, Bosque, Montserrat, Camarena, Juan J, Colijn, Caroline, Colomer-Roig, Ester, Colomina, Javier, Escribano, Isabel, Esparcia-Rodríguez, Oscar, García-García, Francisco, Gil-Brusola, Ana, Gimeno, Concepción, Gimeno-Gascón, Adelina, Gomila-Sard, Bárbara, Gónzales-Granda, Damiana, Gonzalo-Jiménez, Nieves, Guna-Serrano, María Remedios, López-Hontangas, José Luis, Martín-González, Coral, Moreno-Muñoz, Rosario, Navarro, David, Navarro, María, Orta, Nieves, Pérez, Elvira, Prat, Josep, Rodríguez, Juan Carlos, Ruiz-García, Ma Montserrat, Vanaclocha, Hermelinda, Comas, Iñaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323001/
https://www.ncbi.nlm.nih.gov/pubmed/35880398
http://dx.doi.org/10.7554/eLife.76605
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author Cancino-Muñoz, Irving
López, Mariana G
Torres-Puente, Manuela
Villamayor, Luis M
Borrás, Rafael
Borrás-Máñez, María
Bosque, Montserrat
Camarena, Juan J
Colijn, Caroline
Colomer-Roig, Ester
Colomina, Javier
Escribano, Isabel
Esparcia-Rodríguez, Oscar
García-García, Francisco
Gil-Brusola, Ana
Gimeno, Concepción
Gimeno-Gascón, Adelina
Gomila-Sard, Bárbara
Gónzales-Granda, Damiana
Gonzalo-Jiménez, Nieves
Guna-Serrano, María Remedios
López-Hontangas, José Luis
Martín-González, Coral
Moreno-Muñoz, Rosario
Navarro, David
Navarro, María
Orta, Nieves
Pérez, Elvira
Prat, Josep
Rodríguez, Juan Carlos
Ruiz-García, Ma Montserrat
Vanaclocha, Hermelinda
Comas, Iñaki
author_facet Cancino-Muñoz, Irving
López, Mariana G
Torres-Puente, Manuela
Villamayor, Luis M
Borrás, Rafael
Borrás-Máñez, María
Bosque, Montserrat
Camarena, Juan J
Colijn, Caroline
Colomer-Roig, Ester
Colomina, Javier
Escribano, Isabel
Esparcia-Rodríguez, Oscar
García-García, Francisco
Gil-Brusola, Ana
Gimeno, Concepción
Gimeno-Gascón, Adelina
Gomila-Sard, Bárbara
Gónzales-Granda, Damiana
Gonzalo-Jiménez, Nieves
Guna-Serrano, María Remedios
López-Hontangas, José Luis
Martín-González, Coral
Moreno-Muñoz, Rosario
Navarro, David
Navarro, María
Orta, Nieves
Pérez, Elvira
Prat, Josep
Rodríguez, Juan Carlos
Ruiz-García, Ma Montserrat
Vanaclocha, Hermelinda
Comas, Iñaki
author_sort Cancino-Muñoz, Irving
collection PubMed
description Transmission is a driver of tuberculosis (TB) epidemics in high-burden regions, with assumed negligible impact in low-burden areas. However, we still lack a full characterization of transmission dynamics in settings with similar and different burdens. Genomic epidemiology can greatly help to quantify transmission, but the lack of whole genome sequencing population-based studies has hampered its application. Here, we generate a population-based dataset from Valencia region and compare it with available datasets from different TB-burden settings to reveal transmission dynamics heterogeneity and its public health implications. We sequenced the whole genome of 785 Mycobacterium tuberculosis strains and linked genomes to patient epidemiological data. We use a pairwise distance clustering approach and phylodynamic methods to characterize transmission events over the last 150 years, in different TB-burden regions. Our results underscore significant differences in transmission between low-burden TB settings, i.e., clustering in Valencia region is higher (47.4%) than in Oxfordshire (27%), and similar to a high-burden area as Malawi (49.8%). By modeling times of the transmission links, we observed that settings with high transmission rate are associated with decades of uninterrupted transmission, irrespective of burden. Together, our results reveal that burden and transmission are not necessarily linked due to the role of past epidemics in the ongoing TB incidence, and highlight the need for in-depth characterization of transmission dynamics and specifically tailored TB control strategies.
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spelling pubmed-93230012022-07-27 Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics Cancino-Muñoz, Irving López, Mariana G Torres-Puente, Manuela Villamayor, Luis M Borrás, Rafael Borrás-Máñez, María Bosque, Montserrat Camarena, Juan J Colijn, Caroline Colomer-Roig, Ester Colomina, Javier Escribano, Isabel Esparcia-Rodríguez, Oscar García-García, Francisco Gil-Brusola, Ana Gimeno, Concepción Gimeno-Gascón, Adelina Gomila-Sard, Bárbara Gónzales-Granda, Damiana Gonzalo-Jiménez, Nieves Guna-Serrano, María Remedios López-Hontangas, José Luis Martín-González, Coral Moreno-Muñoz, Rosario Navarro, David Navarro, María Orta, Nieves Pérez, Elvira Prat, Josep Rodríguez, Juan Carlos Ruiz-García, Ma Montserrat Vanaclocha, Hermelinda Comas, Iñaki eLife Epidemiology and Global Health Transmission is a driver of tuberculosis (TB) epidemics in high-burden regions, with assumed negligible impact in low-burden areas. However, we still lack a full characterization of transmission dynamics in settings with similar and different burdens. Genomic epidemiology can greatly help to quantify transmission, but the lack of whole genome sequencing population-based studies has hampered its application. Here, we generate a population-based dataset from Valencia region and compare it with available datasets from different TB-burden settings to reveal transmission dynamics heterogeneity and its public health implications. We sequenced the whole genome of 785 Mycobacterium tuberculosis strains and linked genomes to patient epidemiological data. We use a pairwise distance clustering approach and phylodynamic methods to characterize transmission events over the last 150 years, in different TB-burden regions. Our results underscore significant differences in transmission between low-burden TB settings, i.e., clustering in Valencia region is higher (47.4%) than in Oxfordshire (27%), and similar to a high-burden area as Malawi (49.8%). By modeling times of the transmission links, we observed that settings with high transmission rate are associated with decades of uninterrupted transmission, irrespective of burden. Together, our results reveal that burden and transmission are not necessarily linked due to the role of past epidemics in the ongoing TB incidence, and highlight the need for in-depth characterization of transmission dynamics and specifically tailored TB control strategies. eLife Sciences Publications, Ltd 2022-07-26 /pmc/articles/PMC9323001/ /pubmed/35880398 http://dx.doi.org/10.7554/eLife.76605 Text en © 2022, Cancino-Muñoz, López et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Cancino-Muñoz, Irving
López, Mariana G
Torres-Puente, Manuela
Villamayor, Luis M
Borrás, Rafael
Borrás-Máñez, María
Bosque, Montserrat
Camarena, Juan J
Colijn, Caroline
Colomer-Roig, Ester
Colomina, Javier
Escribano, Isabel
Esparcia-Rodríguez, Oscar
García-García, Francisco
Gil-Brusola, Ana
Gimeno, Concepción
Gimeno-Gascón, Adelina
Gomila-Sard, Bárbara
Gónzales-Granda, Damiana
Gonzalo-Jiménez, Nieves
Guna-Serrano, María Remedios
López-Hontangas, José Luis
Martín-González, Coral
Moreno-Muñoz, Rosario
Navarro, David
Navarro, María
Orta, Nieves
Pérez, Elvira
Prat, Josep
Rodríguez, Juan Carlos
Ruiz-García, Ma Montserrat
Vanaclocha, Hermelinda
Comas, Iñaki
Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title_full Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title_fullStr Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title_full_unstemmed Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title_short Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
title_sort population-based sequencing of mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323001/
https://www.ncbi.nlm.nih.gov/pubmed/35880398
http://dx.doi.org/10.7554/eLife.76605
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