ArticleeLife2020
Previously undetected super-spreading of
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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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.
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.
Who cites it
31 citing papers in PubMed.
- Complete genomes reveal a refined map of Mycobacterium tuberculosis genetic diversity across evolutionary scales.Nature communications · 2026Article
- A tiled amplicon protocol for culture-free whole-genome sequencing ofJournal of clinical microbiology · 2026Article
- Benchmarking within-sample minority variant detection with short-read sequencing inbioRxiv : the preprint server for biology · 2026Article
- Genetic Diversity and Molecular Epidemiology ofPathogens (Basel, Switzerland) · 2026Article
- Protein-Mediated Virulence in Mycobacterium tuberculosis.Advances in experimental medicine and biology · 2026Review
- Ecology, global diversity and evolutionary mechanisms in the Mycobacterium tuberculosis complex.Nature reviews. Microbiology · 2025Review
- Within-host bacterial evolution and the emergence of pathogenicity.Nature microbiology · 2025Review
- Pitfalls of bacterial pan-genome analysis approaches: a case study of Mycobacterium tuberculosis and two less clonal bacterial species.Bioinformatics (Oxford, England) · 2025Article
- Dissecting transmission to understand parasite evolution.PLoS pathogens · 2025Review
- Signatures of transmission in within-host Mycobacterium tuberculosis complex variation: a retrospective genomic epidemiology study.The Lancet. Microbe · 2025Article
- Article
- Detection ofFrontiers in microbiology · 2024Article
- A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis.Frontiers in applied mathematics and statistics · 2024Article
- Inferring bacterial transmission dynamics using deep sequencing genomic surveillance data.Nature communications · 2023Article
- Transmission Dynamics of a Mycobacterium tuberculosis Complex Outbreak in an Indigenous Population in the Colombian Amazon Region.Microbiology spectrum · 2023Article
- Use of High-Resolution Geospatial and Genomic Data to Characterize Recent Tuberculosis Transmission, Botswana.Emerging infectious diseases · 2023Article
- Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis.American journal of epidemiology · 2023Article
- High Throughput Sequencing for Clinical Tuberculosis: An Overview.Pathogens (Basel, Switzerland) · 2022Review
- Widespread sharing of pneumococcal strains in a rural African setting: proximate villages are more likely to share similar strains that are carried at multiple timepoints.Microbial genomics · 2022Article
- Application of Next Generation Sequencing for Diagnosis and Clinical Management of Drug-Resistant Tuberculosis: Updates on Recent Developments in the Field.Frontiers in microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Tuberculosis disproportionately affects the Canadian Inuit. To address this, it is imperative we understand transmission dynamics in this population. We investigate whether 'deep' sequencing can provide additional resolution compared to standard sequencing, using a well-characterized outbreak from the Arctic (2011-2012, 50 cases). Samples were sequenced to ~500-1000x and reads were aligned to a novel local reference genome generated with PacBio SMRT sequencing. Consensus and heterogeneous variants were identified and compared across genomes. In contrast with previous genomic analyses using ~50x depth, deep sequencing allowed us to identify a novel super-spreader who likely transmitted to up to 17 other cases during the outbreak (35% of the remaining cases that year). It is increasingly evident that within-host diversity should be incorporated into transmission analyses; deep sequencing may facilitate more accurate detection of super-spreaders and transmission clusters. This has implications not only for TB, but all genomic studies of transmission - regardless of pathogen.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.