Evidence map›Paper›PMID 42243200›Full record

ArticleScientific reports2026

Detection of heteroresistance in Mycobacterium tuberculosis using nanopore-based amplicon sequencing and adaptive sampling.

Diego A Taquiri-Díaz, Diego M Ramos-Lette, Omar A Romero-Rodriguez, Carlos E Barrios-Tapia, Carla A Apaza-Quiroz, Benjamin Hurtado, Paul J D Avellaneda-Menéndez, Julio Orellana-Montes, Sonia Huaman, Jose L Perez-Martinez and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Diego A Taquiri-Díaz *Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Diego M Ramos-Lette *Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Omar A Romero-Rodriguez *Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Carlos E Barrios-Tapia *Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Carla A Apaza-QuirozLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Benjamin HurtadoLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Paul J D Avellaneda-MenéndezLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Julio Orellana-MontesLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Sonia HuamanLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Jose L Perez-MartinezLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Katherine Vallejos-SanchezLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Candy LeónLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru.
Robert H GilmanDepartment of International Health. Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Louis GrandjeanUniversity College London, London, UK.
Mirko ZimicLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru. mirko.zimic@upch.pe.
Patricia SheenLaboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos. Laboratorios de Investigación y Desarrollo, Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, San Martín de Porres, Peru. patricia.sheen@upch.pe.

Funding

Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica PE501082878-2023
6 · The paper itself

Abstract

Heteroresistance (HR) in Mycobacterium tuberculosis-the coexistence of drug-susceptible and drug-resistant subpopulations within the same host-poses a major obstacle to effective tuberculosis (TB) diagnosis, treatment, and control. The primary objective of this study was to determine whether Oxford Nanopore Technologies (ONT)-based workflows could accurately detect heteroresistance and compare their performance. To achieve this, we first optimized ONT sequencing workflows using cultured isolates and TB-positive clinical sputum, identifying phenol-based DNA extraction with ligation library as the best-performing combination, though Kit-Ligation had the best performance in amplicon sequencing from culture. We then evaluated two enrichment strategies-amplicon sequencing and Adaptive sampling (AS)-using synthetic mixtures of drug-susceptible (H37Rv) and drug-resistant (DM97) strains at defined ratios. Amplicon sequencing achieved coverage > 4,000× across target genes and reliably detected resistant alleles at frequencies as low as 1%. AS enriched 14 resistance loci with ~ 3-fold higher on-target depth compared to non-enriched nanopore whole-genome sequencing (WGS), enabling accurate detection of resistant subpopulations at 5% while retaining genomic context for lineage assignment. Together, these results demonstrate that, among the ONT workflows evaluated, nanopore amplicon sequencing provides superior sensitivity, whereas AS offers an intermediate approach, increasing depth while retaining some genomic context. These complementary approaches represent scalable strategies that could enhance TB heteroresistance detection and surveillance in high-burden settings.

Indexed as

Drug Resistance, BacterialMycobacterium tuberculosisNanopore SequencingAntitubercular AgentsDNA, BacterialGenome, BacterialHigh-Throughput Nucleotide SequencingHumansNanoporesAntitubercular AgentsDNA, BacterialAmplicon SequencingASHeteroresistanceMixed infectionsNanoporeTuberculosis

Identifiers

PMID42243200
PMCPMC13478595

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.