Evidence map›Paper›PMID 33801257›Full record

ArticleViruses2021

The Mutation Profile of SARS-CoV-2 Is Primarily Shaped by the Host Antiviral Defense.

Cem Azgari, Zeynep Kilinc, Berk Turhan, Defne Circi, Ogun Adebali

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 49 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Cem AzgariFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.ORCID 0000-0001-7029-6298
Zeynep KilincFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.ORCID 0000-0002-1906-0391
Berk TurhanFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.ORCID 0000-0002-6471-0357
Defne CirciFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.ORCID 0000-0002-5761-0198
Ogun AdebaliFaculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey.ORCID 0000-0001-9213-4070
Sabancı Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent mechanisms of virus diversification. However, which mechanisms contribute to the mutation profiles of SARS-CoV-2 remain under-explored. Here, we delineate the contribution of mutagenesis and selection to the genome diversity of SARS-CoV-2 isolates. We generated a comprehensive phylogenetic tree with representative genomes. Instead of counting mutations relative to the reference genome, we identified each mutation event at the nodes of the phylogenetic tree. With this approach, we obtained the mutation events that are independent of each other and generated the mutation profile of SARS-CoV-2 genomes. The results suggest that the heterogeneous mutation patterns are mainly reflections of host (i) antiviral mechanisms that are achieved through APOBEC, ADAR, and ZAP proteins, and (ii) probable adaptation against reactive oxygen species.

Indexed as

MutationBase SequenceCodonCOVID-19Evolution, MolecularGenome, ViralHumansPandemicsPhylogenySARS-CoV-2CodonADARAPOBECCOVID-19evolutionmutationphylogeneticsROSSARS-CoV-2ZAP

Identifiers

PMID33801257
PMCPMC7999997
OpenAlexW3135171567

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.