Evidence map›Paper›PMID 34162869›Full record

ArticleNature communications2021

COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance.

Michele Simonetti, Ning Zhang, Luuk Harbers, Maria Grazia Milia, Silvia Brossa, Thi Thu Huong Nguyen, Francesco Cerutti, Enrico Berrino, Anna Sapino, Magda Bienko and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. A comparison of five Illumina, Ion Torrent, and nanopore sequencing technology-based approaches for whole genome sequencing of SARS-CoV-2.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
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  9. Sierra SARS-CoV-2 sequence and antiviral resistance analysis program.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
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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

13 authors.

Michele Simonetti *Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3322-1697
Ning Zhang *Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6430-4236
Luuk Harbers *Bienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3910-6497
Maria Grazia MiliaLaboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy.
Silvia BrossaInstituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy.
Thi Thu Huong NguyenBienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9089-7370
Francesco CeruttiLaboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy.ORCID 0000-0003-0480-8296
Enrico BerrinoInstituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy.
Anna SapinoInstituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy.
Magda BienkoBienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6499-9082
Antonino SottileInstituto di Candiolo FPO-IRCCS, Candiolo, Turin, Italy.
Valeria GhisettiLaboratory of Microbiology and Virology, Ospedale 'Amedeo di Savoia', Turin, Italy. valeria.ghisetti@gmail.com.ORCID 0000-0002-4698-598X
Nicola CrosettoBienko-Crosetto Lab for Quantitative Genome Biology, Division of Genome Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. nicola.crosetto@ki.se.ORCID 0000-0002-3019-6978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While mass-scale vaccination campaigns are ongoing worldwide, genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical to monitor the emergence and global spread of viral variants of concern (VOC). Here, we present a streamlined workflow-COVseq-which can be used to generate highly multiplexed sequencing libraries compatible with Illumina platforms from hundreds of SARS-CoV-2 samples in parallel, in a rapid and cost-effective manner. We benchmark COVseq against a standard library preparation method (NEBNext) on 29 SARS-CoV-2 positive samples, reaching 95.4% of concordance between single-nucleotide variants detected by both methods. Application of COVseq to 245 additional SARS-CoV-2 positive samples demonstrates the ability of the method to reliably detect emergent VOC as well as its compatibility with downstream phylogenetic analyses. A cost analysis shows that COVseq could be used to sequence thousands of samples at less than 15 USD per sample, including library preparation and sequencing costs. We conclude that COVseq is a versatile and scalable method that is immediately applicable for SARS-CoV-2 genomic surveillance and easily adaptable to other pathogens such as influenza viruses.

Indexed as

AnimalsCells, CulturedChlorocebus aethiopsCost-Benefit AnalysisCOVID-19Epidemiological MonitoringGenome, ViralHigh-Throughput Nucleotide SequencingHumansPhylogenySARS-CoV-2Workflow

Identifiers

PMID34162869
PMCPMC8222401

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.