Evidence map›Paper›PMID 37200071›Full record

ArticleMicrobial genomics2023

Fast and cost-effective SARS-CoV-2 variant detection using Oxford Nanopore full-length spike gene sequencing.

Cecilia Salazar, Ignacio Ferrés, Mercedes Paz, Alicia Costábile, Gonzalo Moratorio, Pilar Moreno, Gregorio Iraola

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2023. 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
0.6field-weighted citation impact, top 35% 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, 3 citations in OpenAlex.

  1. SpikeID: Rapid and unbiased identification of SARS-CoV-2 variants by spike sequencing.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2025
    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

7 authors at 3 institutions in 3 countries.

Cecilia SalazarLaboratorio de Genómica Microbiana, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Ignacio FerrésLaboratorio de Genómica Microbiana, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Mercedes PazCentro de Innovación en Vigilancia Epidemiológica, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Alicia CostábileCentro de Innovación en Vigilancia Epidemiológica, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Gonzalo MoratorioCentro de Innovación en Vigilancia Epidemiológica, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Pilar MorenoCentro de Innovación en Vigilancia Epidemiológica, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Gregorio IraolaLaboratorio de Genómica Microbiana, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Universidad de la República de Uruguay · UYInstitut Pasteur de Montevideo · UYUniversidad Mayor · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most biologically relevant and diagnostic mutations in the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genome have been identified in the S gene through global genomic surveillance efforts. However, large-scale whole-genome sequencing (WGS) is still challenging in developing countries due to higher costs, reagent delays and limited infrastructure. Consequently, only a small fraction of SARS-CoV-2 samples are characterized through WGS in these regions. Here, we present a complete workflow consisting of a fast library preparation protocol based on tiled amplification of the S gene, followed by a PCR barcoding step and sequencing using Nanopore platforms. This protocol facilitates fast and cost-effective identification of main variants of concern and mutational surveillance of the S gene. By applying this protocol, report time and overall costs for SARS-CoV-2 variant detection could be reduced, contributing to improved genomic surveillance programmes, particularly in low-income regions.

Indexed as

COVID-19NanoporesCost-Benefit AnalysisHumansSARS-CoV-2Oxford Nanopore TechnologiesSARS-CoV-2spike genesurveillance

Identifiers

PMID37200071
PMCPMC10272875
OpenAlexW4377011293

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.