Direct nanopore sequencing of Mycobacterium tuberculosis on sputa and rescue of suboptimal results to enhance transmission surveillance

(MTB). Due to the slow-growing nature of MTB, genomic results are unavoidably delayed; however, few efforts have been made to accelerate them by performing WGS directly on respiratory specimens. Most culture-free efforts in the literature have focused on the acceleration of resistance prediction. The present study provides further evidence to the only preceding study aiming to accelerate the precise delineation of transmission, coupling culture-free WGS to a surveillance programme. Our study is distinguished from its predecessor by being the first to apply flexible nanopore sequencing for the purpose of further accelerating the process. A total of 71 sputa were selected for the study, in which we only applied a procedure to deplete human DNA, thus avoiding other costly and cumbersome alternatives based on capture baits. Optimal results (>90% of genome covered, mean coverage >45× and >70% genome covered >20×) were obtained from 33.8% of the cases, which allowed the corresponding cases to be ruled in or out of transmission clusters, close to their diagnosis. A further 12.6% of the samples yielded suboptimal results (15.5%-90.92% at >10×), which could also be exploited thanks to our rescue pipeline; the rationale was to attempt to identify, from the suboptimal sequences, the informative SNPs that are markers for relevant transmission clusters in our population. The rescue pipeline facilitated pre-allocation of new cases to pre-existing clusters and moreover enabled the specification of genomic relationships between new cases and preceding ones in the cluster. In summary, the present study has demonstrated that epidemiologically valuable information can be obtained directly from sputum in approximately half of the samples analysed. This study represents a new advancement in the pursuit of enhancing faster comparative genomics, at diagnosis, for epidemiological applications.

Authors

Institutions

Publication Details

Journal
Microbial Genomics
Published
2026-05-22
DOI
https://doi.org/10.1099/mgen.0.001709
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct nanopore sequencing of Mycobacterium tuberculosis on sputa and rescue of suboptimal results to enhance transmission surveillance

Silvia Vallejo-Godoy, Sheri M. Saleeb, Marta Herranz-Martín, Andrea Marcos-Abellán et al.
Microbial Genomics
Tuberculosis Research and Epidemiology
article

Direct nanopore sequencing of Mycobacterium tuberculosis on sputa and rescue of suboptimal results to enhance transmission surveillance

Silvia Vallejo-Godoy, Sheri M. Saleeb, Marta Herranz-Martín, Andrea Marcos-Abellán, Alfonso Pardo-Diaz, Miguel Martínez-Lirola, María Jesús Ruiz Serrano, María Teresa Cabezas Fernández, Guadalupe Bernal Ramírez, Patricia Muñoz, Darío García de Viedma, Sergio Buenestado-Serrano, Laura Pérez-Lago
article en

Abstract

(MTB). Due to the slow-growing nature of MTB, genomic results are unavoidably delayed; however, few efforts have been made to accelerate them by performing WGS directly on respiratory specimens. Most culture-free efforts in the literature have focused on the acceleration of resistance prediction. The present study provides further evidence to the only preceding study aiming to accelerate the precise delineation of transmission, coupling culture-free WGS to a surveillance programme. Our study is distinguished from its predecessor by being the first to apply flexible nanopore sequencing for the purpose of further accelerating the process. A total of 71 sputa were selected for the study, in which we only applied a procedure to deplete human DNA, thus avoiding other costly and cumbersome alternatives based on capture baits. Optimal results (>90% of genome covered, mean coverage >45× and >70% genome covered >20×) were obtained from 33.8% of the cases, which allowed the corresponding cases to be ruled in or out of transmission clusters, close to their diagnosis. A further 12.6% of the samples yielded suboptimal results (15.5%-90.92% at >10×), which could also be exploited thanks to our rescue pipeline; the rationale was to attempt to identify, from the suboptimal sequences, the informative SNPs that are markers for relevant transmission clusters in our population. The rescue pipeline facilitated pre-allocation of new cases to pre-existing clusters and moreover enabled the specification of genomic relationships between new cases and preceding ones in the cluster. In summary, the present study has demonstrated that epidemiologically valuable information can be obtained directly from sputum in approximately half of the samples analysed. This study represents a new advancement in the pursuit of enhancing faster comparative genomics, at diagnosis, for epidemiological applications.

Microbial GenomicsVol. 12(5)
Universidad Complutense de Madrid (ES), Government of Extremadura (ES), Hospital General Universitario Gregorio Marañón (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Hospital de Poniente (ES), Centro Tecnológico Nacional Agroalimentario Extremadura (ES), Complejo Hospitalario Torrecárdenas (ES), Universidad Autónoma de Madrid (ES)
Good health and well-being
Openalex Percentile: Top 7%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.