Population structure and spatial distribution of Mycobacterium tuberculosis complex in Catalonia

Other authors

[Bordoy A, Leonov V, Soler L, Antuori A, Panisello‑Yagüe D, Cardona PJ, Saludes V, Martró E] Departament de Microbiologia, Laboratori Clínic Metropolitana Nord, Institut de Recerca Germans Trias i Pujol (IGTP), Hospital Germans Trias i Pujol, Badalona, Spain. [Bordoy A, Panisello‑Yagüe D, Comas I, Saludes V, Martró E] CIBER en Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain. [López MG, Moreno-Molina M, Comas I] Unitat de Genòmica de la Tuberculosis, Institut de Biomedicina de València (IBV, CSIC), València, Spain. [Sicart‑Torres E, Gavaldà L, Mendioroz J] Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Barcelona, Spain. [Panisello‑Yagüe D, Cardona PJ, Saludes V, Martró E] Departament de Genètica i Microbiologia, Facultat de Biociències, Universitat Autònoma de Barcelona (UAB), Bellaterra, Cerdanyola del Vallès, Spain. [Cardona PJ] CIBER en Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.

Departament de Salut

Publication date

2026-03-23T08:57:43Z

2026-03-23T08:57:43Z

2026-03-20



Abstract

Extrapulmonary form; Hotspots; Migration; Spatiotemporal clusters; Whole-genome sequencing


Forma extrapulmonar; Punts calents; Migració; Clústers espaciotemporals; Seqüenciació del genoma complet


Forma extrapulmonar; Puntos calientes; Migración; Clústeres espaciotemporales; Secuenciación del genoma completo


Aim We aimed to characterize the spatial structure of MTBC (sub)lineages in Catalonia, assess their associations with clinical and epidemiological factors, and identify spatiotemporal hotspots of cases belonging to the same sublineage. Methods Whole-genome sequencing (WGS) was performed on 783 MTBC isolates collected across Catalonia from December 2021 to June 2023. Lineages and sublineages were assigned using SNP-based typing. Associations with clinical presentation, country of origin, and migration timing were evaluated using logistic regression and Fisher’s exact test. SaTScan was used to identify space–time clusters of selected (sub)lineages. Results Lineage 4/Euro-American predominated (83%), with L4.1.2/Haarlem, L4.3/LAM, and L4.10/PGG3 widely distributed, particularly among Spanish-born individuals and long-term migrants. L1/EAI, L2/Beijing, L3/CAS, and L4.1.1/X showed geographically restricted patterns, predominantly linked to migrants from India, Pakistan, China, and Peru. L1/EAI, L3/CAS, and L4.10/PGG3 were significantly associated with extrapulmonary TB. Sublineage diversity increased from sparsely to densely populated areas. Spatiotemporal analysis identified four significant clusters involving L1/EAI, L3/CAS, and L4.10/PGG3 across seven counties, mainly within the Barcelona Metropolitan Area, with L4.10/PGG3 showing the strongest clustering. Conclusion L4 sublineages predominate in Catalonia, whereas L1/EAI, L2/Beijing, and L3/CAS are more geographically restricted and predominantly associated with migrants. The presence of sublineage-specific hotspots in dense urban areas highlights the role of migration dynamics and urbanization in shaping TB transmission.

Document Type

Article


Published version

Language

English

Publisher

Frontiers

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Attribution-NonCommercial-NoDerivatives 4.0 International

http://creativecommons.org/licenses/by-nc-nd/4.0/

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