Evidence map›Paper›PMID 38544854›Full record

ArticleVirus evolution2024

Automated detection and classification of polioviruses from nanopore sequencing reads using piranha.

Áine O'Toole, Rachel Colquhoun, Corey Ansley, Catherine Troman, Daniel Maloney, Zoe Vance, Joyce Akello, Erika Bujaki, Manasi Majumdar, Adnan Khurshid and 6 more

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 2 countries.

Áine O'TooleInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0001-8083-474X
Rachel ColquhounInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0002-5577-9897
Corey AnsleyInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.
Catherine TromanDepartment of Infectious Disease Epidemiology, Imperial College London, London W120BZ, UK.
Daniel MaloneyInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.
Zoe VanceInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.
Joyce AkelloDepartment of Infectious Disease Epidemiology, Imperial College London, London W120BZ, UK.
Erika BujakiDivision of Virology, National Institute for Biological Standards and Control (NIBSC), Potters Bar EN63QG, UK.
Manasi MajumdarDivision of Virology, National Institute for Biological Standards and Control (NIBSC), Potters Bar EN63QG, UK.
Adnan KhurshidDepartment of Virology, National Institute for Health, Islamabad 44000, Pakistan.
Yasir ArshadDepartment of Virology, National Institute for Health, Islamabad 44000, Pakistan.
Muhammad Masroor AlamDepartment of Virology, National Institute for Health, Islamabad 44000, Pakistan.
Javier MartinDivision of Virology, National Institute for Biological Standards and Control (NIBSC), Potters Bar EN63QG, UK.
Alexander G ShawDepartment of Infectious Disease Epidemiology, Imperial College London, London W120BZ, UK.
Nicholas C GrasslyDepartment of Infectious Disease Epidemiology, Imperial College London, London W120BZ, UK.
Andrew RambautInstitute of Ecology & Evolution, University of Edinburgh, Edinburgh EH93FL, UK.ORCID https://orcid.org/0000-0003-4337-3707
University of Edinburgh · GBImperial College London · GBNational Institute for Biological Standards and Control · GBNational Institute of Health · PK

Funding

Medical Research Council MR/R015600/1Medical Research Council MR/X020258/1Wellcome Trust
6 · The paper itself

Abstract

Widespread surveillance, rapid detection, and appropriate intervention will be critical for successful eradication of poliovirus. Using deployable next-generation sequencing (NGS) approaches, such as Oxford Nanopore Technologies' MinION, the time from sample to result can be significantly reduced compared to cell culture and Sanger sequencing. We developed piranha (poliovirus investigation resource automating nanopore haplotype analysis), a 'sequencing reads-to-report' solution to aid routine poliovirus testing of both stool and environmental samples and alleviate the bioinformatic bottleneck that often exists for laboratories adopting novel NGS approaches. Piranha can be used for efficient intratypic differentiation of poliovirus serotypes, for classification of Sabin-like polioviruses, and for detection of wild-type and vaccine-derived polioviruses. It produces interactive, distributable reports, as well as summary comma-separated values files and consensus poliovirus FASTA sequences. Piranha optionally provides phylogenetic analysis, with the ability to incorporate a local database, processing from raw sequencing reads to an interactive, annotated phylogeny in a single step. The reports describe each nanopore sequencing run with interpretable plots, enabling researchers to easily detect the presence of poliovirus in samples and quickly disseminate their results. Poliovirus eradication efforts are hindered by the lack of real-time detection and reporting, and piranha can be used to complement direct detection sequencing approaches.

Indexed as

emerging diseasenanoporeoutbreakpoliovirussabinsoftwaresurveillanceVDPV

Identifiers

PMID38544854
PMCPMC10972548
OpenAlexW4393241514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.