Evidence map›Paper›PMID 37707487›Full record

ArticleMolecular biology and evolution2023

Intra- vs. Interhost Evolution of SARS-CoV-2 Driven by Uncorrelated Selection-The Evolution Thwarted.

Mei Hou, Jingrong Shi, Zanke Gong, Haijun Wen, Yun Lan, Xizi Deng, Qinghong Fan, Jiaojiao Li, Mengling Jiang, Xiaoping Tang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

13 authors at 2 institutions in 1 country.

Mei HouState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Jingrong ShiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Zanke GongState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Haijun WenState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Yun LanGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xizi DengGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Qinghong FanGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jiaojiao LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Mengling JiangGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaoping TangGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Chung-I WuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Feng LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.ORCID 0000-0003-3169-6349
Yongsen RuanState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-5573-4154
Guangzhou Eighth People's Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In viral evolution, a new mutation has to proliferate within the host (Stage I) in order to be transmitted and then compete in the host population (Stage II). We now analyze the intrahost single nucleotide variants (iSNVs) in a set of 79 SARS-CoV-2 infected patients with most transmissions tracked. Here, every mutation has two measures: 1) iSNV frequency within each individual host in Stage I; 2) occurrence among individuals ranging from 1 (private), 2-78 (public), to 79 (global) occurrences in Stage II. In Stage I, a small fraction of nonsynonymous iSNVs are sufficiently advantageous to rise to a high frequency, often 100%. However, such iSNVs usually fail to become public mutations. Thus, the selective forces in the two stages of evolution are uncorrelated and, possibly, antagonistic. For that reason, successful mutants, including many variants of concern, have to avoid being eliminated in Stage I when they first emerge. As a result, they may not have the transmission advantage to outcompete the dominant strains and, hence, are rare in the host population. Few of them could manage to slowly accumulate advantageous mutations to compete in Stage II. When they do, they would appear suddenly as in each of the six successive waves of SARS-CoV-2 strains. In conclusion, Stage I evolution, the gate-keeper, may contravene the long-term viral evolution and should be heeded in viral studies.

Indexed as

COVID-19HumansMutationSARS-CoV-2antagonisminterhost evolutionintrahost evolutionSARS-CoV-2variants of concern

Identifiers

PMID37707487
PMCPMC10521905
OpenAlexW4386725661

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.