Evidence map›Paper›PMID 40253323›Full record

ArticleVirology journal2025

Tradeoffs between proliferation and transmission in virus evolution- insights from evolutionary and functional analyses of SARS-CoV-2.

Jui-Hung Tai, Ding-Chin Lee, Hsin-Fu Lin, Tai-Ling Chao, Yongsen Ruan, Ya-Wen Cheng, Yu-Chi Chou, You-Yu Lin, Sui-Yuan Chang, Pei-Jer Chen and 2 more

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

12 authors.

Jui-Hung Tai *Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Ding-Chin Lee *Department of Microbiology, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan.
Hsin-Fu LinGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Tai-Ling ChaoDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Yongsen RuanState Key Laboratory of Biocontrol, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-sen University, Guangzhou, China.
Ya-Wen ChengDepartment of Microbiology, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan.
Yu-Chi ChouBiomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan.
You-Yu LinGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Sui-Yuan ChangDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Pei-Jer ChenGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan.
Shiou-Hwei YehDepartment of Microbiology, College of Medicine, National Taiwan University, Taipei, 10617, Taiwan. shyeh@ntu.edu.tw.
Hurng-Yi WangGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, 10002, Taiwan. hurngyi@ntu.edu.tw.

Funding

Ministry of Science and Technology, Taiwan 109-2311-B-002 -023 -MY3Ministry of Science and Technology, Taiwan 111-2321-B-002-017National Science and Technology Council 113-2327-B-002-003
6 · The paper itself

Abstract

To be successful, a virus must maintain high between-host transmissibility while also effectively adapting within hosts. The impact of these potentially conflicting demands on viral genetic diversity and adaptation remains largely unexplored. These modes of adaptation can induce uncorrelated selection, bring mutations that enhance certain fitness aspects at the expense of others to high freqency, and contribute to the maintenance of genetic variation. The vast wealth of SARS-CoV-2 genetic data gathered from within and across hosts offers an unparalleled opportunity to test the above hypothesis. By analyzing a large set of SARS-CoV-2 sequences (~ 2 million) collected from early 2020 to mid-2021, we found that high frequency mutations within hosts are sometimes detrimental during between-host transmission. This highlights potential inverse selection pressures within- versus between-hosts. We also identified a group of nonsynonymous changes likely maintained by pleiotropy, as their frequencies are significantly higher than neutral expectation, yet they have never experienced clonal expansion. Analyzing one such mutation, spike M1237I, reveals that spike I1237 boosts viral assembly but reduces in vitro transmission, highlighting its pleiotropic effect. Though they make up about 2% of total changes, these types of variants represent 37% of SARS-CoV-2 genetic diversity. These mutations are notably prevalent in the Omicron variant from late 2021, hinting that pleiotropy may promote positive epistasis and new successful variants. Estimates of viral population dynamics, such as population sizes and transmission bottlenecks, assume neutrality of within-host variation. Our demonstration that these changes may affect fitness calls into question the robustness of these estimates.

Indexed as

COVID-19Evolution, MolecularSARS-CoV-2Genetic VariationHumansMutationSelection, GeneticSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Epistatic interactionsFrequency spectrumGenetic diversityPleiotropySpike M1237I

Identifiers

PMID40253323
PMCPMC12008902

What OpenQuestion holds

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Registered trials

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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.