Evidence map›Paper›PMID 33276717›Full record

ArticleBMC genomics2020

A rapid, cost-effective tailed amplicon method for sequencing SARS-CoV-2.

Daryl M Gohl, John Garbe, Patrick Grady, Jerry Daniel, Ray H B Watson, Benjamin Auch, Andrew Nelson, Sophia Yohe, Kenneth B Beckman

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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

  1. Pooled it
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  17. Agnostic Sequencing for Detection of Viral Pathogens.Clinical microbiology reviews · 2023
    Review
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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

9 authors.

Daryl M GohlUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA. dmgohl@umn.edu.ORCID http://orcid.org/0000-0002-4434-2788
John GarbeUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
Patrick GradyUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
Jerry DanielUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
Ray H B WatsonUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
Benjamin AuchUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
Andrew NelsonDepartment of Lab Medicine and Pathology, Division of Molecular Pathology and Genomics, University of Minnesota, Minneapolis, MN, 55455, USA.
Sophia YoheDepartment of Lab Medicine and Pathology, Division of Molecular Pathology and Genomics, University of Minnesota, Minneapolis, MN, 55455, USA.
Kenneth B BeckmanUniversity of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global COVID-19 pandemic has led to an urgent need for scalable methods for clinical diagnostics and viral tracking. Next generation sequencing technologies have enabled large-scale genomic surveillance of SARS-CoV-2 as thousands of isolates are being sequenced around the world and deposited in public data repositories. A number of methods using both short- and long-read technologies are currently being applied for SARS-CoV-2 sequencing, including amplicon approaches, metagenomic methods, and sequence capture or enrichment methods. Given the small genome size, the ability to sequence SARS-CoV-2 at scale is limited by the cost and labor associated with making sequencing libraries.

resultsHere we describe a low-cost, streamlined, all amplicon-based method for sequencing SARS-CoV-2, which bypasses costly and time-consuming library preparation steps. We benchmark this tailed amplicon method against both the ARTIC amplicon protocol and sequence capture approaches and show that an optimized tailed amplicon approach achieves comparable amplicon balance, coverage metrics, and variant calls to the ARTIC v3 approach.

conclusionsThe tailed amplicon method we describe represents a cost-effective and highly scalable method for SARS-CoV-2 sequencing.

Indexed as

BenchmarkingCOVID-19COVID-19 Nucleic Acid TestingGenome, ViralHumansMolecular EpidemiologyMutationRNA, ViralSARS-CoV-2Sequence AnalysisRNA, ViralCOVID-19Genome sequencingSARS-CoV-2Viral surveillance

Identifiers

PMID33276717
PMCPMC7716288

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.