Within-Host Fitness and Antigenicity Shift Are Key Factors Influencing the Prevalence of Within-Host Variations in the SARS-CoV-2

Binbin Xi, Zhihao Hua, Dawei Jiang, Zixi Chen, Jinfen Wei, Yuhuan Meng, Hongli Du

Abstract read

In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Binbin XiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0001-7290-7566

Zhihao HuaSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Dawei JiangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Yuhuan MengGuangzhou KingMed Transformative Medicine Institute, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou 510220, China.ORCID 0000-0001-7464-3103

Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Funding

National Natural Science Foundation of China 82302104the Key R&D Program of Guangdong Province 2019B020226001the National Key R&D Program of China 2018YFC0910201

6 · The paper itself

Abstract

Within-host evolution plays a critical role in shaping the diversity of SARS-CoV-2. However, understanding the primary factors contributing to the prevalence of intra-host single nucleotide variants (iSNVs) in the viral population remains elusive. Here, we conducted a comprehensive analysis of over 556,000 SARS-CoV-2 sequencing data and prevalence data of different SARS-CoV-2 S protein amino acid mutations to elucidate key factors influencing the prevalence of iSNVs in the SARS-CoV-2

Indexed as

Antigenic VariationCOVID-19SARS-CoV-2Spike Glycoprotein, CoronavirusGene FrequencyGenetic FitnessGenetic VariationHumansMutationPolymorphism, Single NucleotidePrevalenceSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antigenicity shiftiSNVsprevalenceSARS-CoV-2within-host fitness

Identifiers

PMID40143291

DOI10.3390/v17030362

PMCPMC11945823

What OpenQuestion holds

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LicenceCC BY

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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.