Evidence map›Paper›PMID 40981470›Full record

ArticlemSphere2025

Intra-host variation and transmission dynamics of SARS-CoV-2 Omicron outbreaks in Shandong, China.

Xuemin Wei, Qi Gao, Yuhao Wang, Xinyi Gao, Zengqiang Kou, Xiujun Li, Yifei Xu

Abstract read
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xuemin WeiDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0001-9080-1757
Qi GaoDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yuhao WangDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Xinyi GaoDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Zengqiang KouShandong Center for Disease Control and Prevention, Jinan, Shandong, China.ORCID 0009-0006-2879-5855
Xiujun LiDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0001-7771-2725
Yifei XuDepartment of Microbiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0003-1969-2484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating the intra-host diversity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for understanding its transmission and the emergence of new variants. However, there is limited insight into SARS-CoV-2 intra-host diversity and the extent to which shared intra-host single nucleotide variants (iSNVs) occur among samples without epidemiological links. To characterize intra-host diversity, we analyzed sequencing data from 803 samples across four Omicron transmission clusters. The potential co-mutation patterns formed by shared iSNVs contributed to regions in the genome with elevated iSNV density. Most samples did not share iSNVs. Even among the sample pairs that did share at least one iSNV, 24.4% originated from different transmission clusters. For shared iSNV sites that can become fixed as single nucleotide polymorphisms (SNPs), iSNVs cluster within the phylogenetic tree, with branches supporting the same variants as SNPs. This observation suggests that iSNVs likely serve as reservoirs for SNPs. Additionally, the BA.1.1 samples carried iSNVs identical to the characteristic mutations of BA.2 and BA.2.3. These findings provide important insights into the evolution and transmission inference of SARS-CoV-2. IMPORTANCE: Understanding the mechanisms behind viral evolution and transmission is crucial, as novel SARS-CoV-2 variants continue to emerge and spread worldwide. Viral evolution is driven not only by variants that circulate globally but also by mutations arising within individual hosts, resulting in the emergence of iSNVs. The role of iSNVs in shaping SARS-CoV-2 evolution and transmission remains poorly characterized. Our results showed a significant enrichment of shared iSNVs in high-density genomic regions, potentially contributing to the formation of co-mutation patterns. However, the presence of shared iSNVs in samples lacking epidemiological links indicates that they alone are insufficient for accurately reconstructing transmission routes. Instead, iSNVs may act as a reservoir for the emergence of single nucleotide polymorphisms. Our study offers new insights into the evolution of SARS-CoV-2 and the interpretation of transmission from sequencing data.

Indexed as

COVID-19SARS-CoV-2ChinaDisease OutbreaksGenome, ViralHumansMutationPandemicsPhylogenyPolymorphism, Single Nucleotideco-mutation patternevolutionintra-host diversityiSNVSARS-CoV-2

Identifiers

PMID40981470
PMCPMC12570505

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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.