Evidence map›Paper›PMID 32278821›Full record

ReviewVirus research2020

Applying next-generation sequencing to unravel the mutational landscape in viral quasispecies.

I-Na Lu, Claude P Muller, Feng Q He

Erratum issuedAbstract readReview
In one paragraph

Review in Virus research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
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  6. A Bibliometric Analysis of the HCV Drug-Resistant Majority and Minority Variants.International journal of environmental research and public health · 2025
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  19. Review of genome sequencing technologies in molecular characterization of influenza A viruses in swine.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

I-Na LuDKFZ-Division Translational Neurooncology at the WTZ, DKTK partner site, University Hospital Essen, D-45147 Essen, Germany; Department of Infectious Diseases, Aarhus University Hospital, DK-8200 Aarhus N, Denmark. Electronic address: I.LU@dkfz-heidelberg.de.
Claude P MullerDepartment of Infection and Immunity, Luxembourg Institute of Health, L-4354 Esch-Sur-Alzette, Luxembourg; Laboratoire National de Santé, L-3583 Dudelange, Luxembourg.
Feng Q HeDepartment of Infection and Immunity, Luxembourg Institute of Health, L-4354 Esch-Sur-Alzette, Luxembourg; Institute of Medical Microbiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany. Electronic address: Feng.He@lih.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has revolutionized the scale and depth of biomedical sciences. Because of its unique ability for the detection of sub-clonal variants within genetically diverse populations, NGS has been successfully applied to analyze and quantify the exceptionally-high diversity within viral quasispecies, and many low-frequency drug- or vaccine-resistant mutations of therapeutic importance have been discovered. Although many works have intensively discussed the latest NGS approaches and applications in general, none of them has focused on applying NGS in viral quasispecies studies, mostly due to the limited ability of current NGS technologies to accurately detect and quantify rare viral variants. Here, we summarize several error-correction strategies that have been developed to enhance the detection accuracy of minority variants. We also discuss critical considerations for preparing a sequencing library from viral RNAs and for analyzing NGS data to unravel the mutational landscape.

Indexed as

Genetic VariationGenome, ViralMutationHigh-Throughput Nucleotide SequencingHumansQuasispeciesRNA, ViralVirusesRNA, ViralConsensus-based error correctionNext-generation sequencing (NGS)QuasispeciesRare variantsRNAViruses

Identifiers

PMID32278821
PMCPMC7144618

What OpenQuestion holds

Textmetadata
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.