Evidence map›Paper›PMID 32054488›Full record

ArticleVirology journal2020

Assessment of a multiplex PCR and Nanopore-based method for dengue virus sequencing in Indonesia.

Samuel C B Stubbs, Barbara A Blacklaws, Benediktus Yohan, Frilasita A Yudhaputri, Rahma F Hayati, Brian Schwem, Edsel M Salvaña, Raul V Destura, James S Lester, Khin S Myint and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Virology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 68 citations in OpenAlex.

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  17. DengueSeq: A pan-serotype whole genome amplicon sequencing protocol for dengue virus.medRxiv : the preprint server for health sciences · 2023
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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

12 authors at 4 institutions in 4 countries.

Samuel C B StubbsDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK. ss995@cam.ac.uk.ORCID 0000-0003-4175-6464
Barbara A BlacklawsDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK.
Benediktus YohanEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Frilasita A YudhaputriEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Rahma F HayatiEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Brian SchwemUniversity of Philippines Manila, Manila, Philippines.
Edsel M SalvañaUniversity of Philippines Manila, Manila, Philippines.
Raul V DesturaUniversity of Philippines Manila, Manila, Philippines.
James S LesterDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK.
Khin S MyintEijkman Institute for Molecular Biology, Jakarta, Indonesia.
R Tedjo SasmonoEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Simon D W FrostDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK.
Eijkman Institute for Molecular Biology · IDUniversity of Cambridge · GBUniversity of the Philippines Manila · PHMicrosoft (United States) · US

Funding

Medical Research Council MR/P017541/1NCEZID CDC HHS U18 CK000443
6 · The paper itself

Abstract

backgroundDengue virus (DENV) infects hundreds of thousands of people annually in Indonesia. However, DENV sequence data from the country are limited, as samples from outbreaks must be shipped across long-distances to suitably equipped laboratories to be sequenced. This approach is time-consuming, expensive, and frequently results in failure due to low viral load or degradation of the RNA genome.

methodsWe evaluated a method designed to address this challenge, using the 'Primal Scheme' multiplex PCR tiling approach to rapidly generate short, overlapping amplicons covering the complete DENV coding-region, and sequencing the amplicons on the portable Nanopore MinION device. The resulting sequence data was assessed in terms of genome coverage, consensus sequence accuracy and by phylogenetic analysis.

resultsThe multiplex approach proved capable of producing near complete coding-region coverage from all samples tested ([Formula: see text] = 99.96%, n = 18), 61% of which could not be fully amplified using the current, long-amplicon PCR, approach. Nanopore-generated consensus sequences were found to be between 99.17-99.92% identical to those produced by high-coverage Illumina sequencing. Consensus accuracy could be improved by masking regions below 20X coverage depth (99.69-99.92%). However, coding-region coverage was reduced at this depth ([Formula: see text] = 93.48%). Nanopore and Illumina consensus sequences generated from the same samples formed monophyletic clades on phylogenetic analysis, and Indonesian consensus sequences accurately clustered by geographical origin.

conclusionThe multiplex, short-amplicon approach proved superior for amplifying DENV genomes from clinical samples, particularly when the virus was present at low concentrations. The accuracy of Nanopore-generated consensus sequences from these amplicons was sufficient for identifying the geographic origin of the samples, demonstrating that the approach can be a useful tool for identifying and monitoring DENV clades circulating in low-resource settings across Indonesia. However, the inaccuracies in Nanopore-generated consensus sequences mean that the approach may not be appropriate for higher resolution transmission studies, particularly when more accurate sequencing technologies are available.

Indexed as

Genome, ViralNanoporesDengueDengue VirusHumansIndonesiaMultiplex Polymerase Chain ReactionPhylogenySequence Analysis, DNADengue virusDisease surveillanceNanopore sequencingVirus sequencing

Identifiers

PMID32054488
PMCPMC7020346
OpenAlexW3006553977

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.