Evidence map›Paper›PMID 42425966›Full record

ArticleNature communications2026

Phylo-Plex: a phylogenetically informed, low-cost amplicon sequencing platform for deployable high-resolution genomic epidemiology.

Mathew A Beale, Vignesh Shetty, Kirsty E Ambridge, George Lacey, Sam Dougan, William Roberts-Sengier, Beth Sampher, Florent Lassalle, Matthew J Dorman, Mahlape P Mahlangu and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Formal description ofInternational journal of systematic and evolutionary microbiology · 2026
    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

21 authors.

Mathew A BealeParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK. mathew.beale@sanger.ac.uk.ORCID 0000-0002-4740-3187
Vignesh ShettyParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.ORCID 0000-0002-6645-4975
Kirsty E AmbridgeParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.
George LaceyParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.
Sam DouganParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.
William Roberts-SengierParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.
Beth SampherParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.ORCID 0009-0006-4832-1112
Florent LassalleParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.ORCID 0000-0001-8957-2520
Matthew J DormanParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.ORCID 0000-0001-7064-6163
Mahlape P MahlanguCentre for HIV & STIs, National Institute for Communicable Diseases, Johannesburg, South Africa.
Johanna M E VenterCentre for HIV & STIs, National Institute for Communicable Diseases, Johannesburg, South Africa.
Bianca Da Costa DiasCentre for HIV & STIs, National Institute for Communicable Diseases, Johannesburg, South Africa.
Martha ChipinduroBiomedical Research and Training Institute, Harare, Zimbabwe.
Tendai M WashayaBiomedical Research and Training Institute, Harare, Zimbabwe.
Luanne RodgersBiomedical Research and Training Institute, Harare, Zimbabwe.
Beauty MakamureBiomedical Research and Training Institute, Harare, Zimbabwe.
Ethel DauyaBiomedical Research and Training Institute, Harare, Zimbabwe.
Michael MarksFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-7585-4743
Etienne E MüllerCentre for HIV & STIs, National Institute for Communicable Diseases, Johannesburg, South Africa.
Rashida A FerrandBiomedical Research and Training Institute, Harare, Zimbabwe.ORCID 0000-0002-7660-9176
Nicholas R ThomsonParasites and Microbes Programme, Wellcome Sanger Institute, Cambridgeshire, UK.ORCID 0000-0002-4432-8505

Funding

Bill & Melinda Gates Foundation INV-035896Gates Foundation INV-035896Wellcome TrustWellcome Trust (Wellcome) 220540/Z/20/A
6 · The paper itself

Abstract

Genomic pathogen surveillance is a powerful tool for public health and research, but is costly and unachievable in low-resource settings. Most sub-genomic typing methods sacrifice resolution whilst remaining costly. We developed "Phylo-Plex", a novel approach that identifies information-rich genomic regions to maximise phylogenetic information whilst minimising the number of regions. Applied to Treponema pallidum and Neisseria gonorrhoeae, we designed a high-resolution multiplex PCR sequencing scheme for lineage tracking pathogens with different extremes of genome variation. For Treponema pallidum, we also designed and evaluated the Phylo-Plex scheme in the laboratory and field settings by sequencing 72 clinical samples using MinION Flongle cells. Our T. pallidum scheme comprising 59 multiplex amplicons achieved high discrimination of fine-scale sublineages comparable to those defined using whole genomes, and demonstrating a qPCR detection limit ≤Ct 32. Variant calls from MinION amplicon sequencing were highly correlated with Illumina whole genome sequencing. We successfully deployed the method in a low-resource laboratory in Zimbabwe, costed at <£300/24 samples (£12.47/sample). Phylo-Plex enables low-cost tracking of priority pathogenic lineages in low resource settings and at scale.

Indexed as

Molecular EpidemiologyMultiplex Polymerase Chain ReactionNeisseria gonorrhoeaeTreponema pallidumGenome, BacterialGenomicsGonorrheaHumansPhylogenySequence Analysis, DNAWhole Genome SequencingZimbabwe

Identifiers

PMID42425966
PMCPMC13350907

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Registered trials

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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.