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Whole-genome sequencing-based surveillance system for Mycobacterium tuberculosis in Portugal

dc.contributor.authorPinto, Miguel
dc.contributor.authorMacedo, Rita
dc.date.accessioned2025-11-18T12:12:07Z
dc.date.available2025-11-18T12:12:07Z
dc.date.issued2025-09-12
dc.description.abstractTo improve TB surveillance and diagnosis, the Portuguese National Reference Laboratory (NRL) began implementing whole-genome sequencing (WGS) for all RR/MDR-TB cases in 2019. Since 2020, this approach has been expanded to indiscriminately include all received isolates. We describe the current WGS-based surveillance system in Portugal, framed in prospective and retrospective data (n = 1171), upgraded for antimicrobial resistance (AMR) prediction and epidemiological analysis. This system relies on three main steps: QC/QA and contamination assessment, with a novel data filtering step; genotyping and AMR prediction; and dynamic SNP-based approach, maximizing variable sites under analysis. While lineage 4 was the most prevalent (84.3 %) followed by lineage 2 (9.1 %), less common EU/EEA sub-lineages (e.g., lineages 3 and 6) showcased cross-border transmissions. Molecular clusters (n = 157) displayed distinct AMR profiles and diverse possible epidemiological contexts. Among the pipeline upgrades, we highlight: i) the novel filtering step that allowed the improvement of 123 out of 128 contaminated samples; ii) tolerating missing data per site more than doubled core variable site resolution; iii) automatic maximization of shared variable sites for in-depth cluster analysis, key for consolidating genetic links in epidemiological investigation. This study highlights the importance of sustained prospective genomic surveillance towards strengthening TB management and diagnosis in Portugal.eng
dc.description.sponsorshipThis study was co-funded by the project “Sustainable use and integration of enhanced infrastructure into routine genome-based surveillance and outbreak investigation activities in Portugal” - GENEO (Project no. 101113460) on behalf of the EU4H programme (EU4H-2022-DGA-MS-IBA-01-02).
dc.identifier.citationTuberculosis (Edinb). 2025 Dec:155:102691. doi: 10.1016/j.tube.2025.102691. Epub 2025 Sep 12
dc.identifier.doi10.1016/j.tube.2025.102691
dc.identifier.eissn1873-281X
dc.identifier.issn1472-9792
dc.identifier.pmid40967101
dc.identifier.urihttp://hdl.handle.net/10400.18/10619
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation101113460
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1472979225000861?via%3Dihub
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectTuberculosis
dc.subjectMycobacterium Tuberculosis Complex
dc.subjectAntimicrobial Resistance
dc.subjectWhole-Genome Sequencing
dc.subjectSurveillance
dc.subjectBioinformatics
dc.subjectResistência aos Antimicrobianos
dc.subjectPortugal
dc.titleWhole-genome sequencing-based surveillance system for Mycobacterium tuberculosis in Portugaleng
dc.typejournal article
dcterms.referenceshttps://www.sciencedirect.com/science/article/pii/S1472979225000861?via%3Dihub#appsec1:~:text=Download%20all%20supplementary%20files%20included%20with%20this%20article
dspace.entity.typePublication
oaire.citation.startPage102691
oaire.citation.titleTuberculosis
oaire.citation.volume155
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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