Evidence map›Paper›PMID 42488851›Full record

ArticleVirus evolution2026

Genomic characterization and evolutionary dynamics of human adenovirus C (HAdV-C) in Beijing (2023-2024): insights into multiple recombination and adaptive evolution.

Changcheng Wu, Chen Mai, Zhihao Zhao, Shiyao Zhang, Lin Ma, Fei Ye, Weibang Huo, Yuda Chen, Meihui Luo, Xiaona Yang and 3 more

Abstract read
In one paragraph

Article in Virus evolution, 2026. 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

13 authors.

Changcheng WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.ORCID https://orcid.org/0000-0002-2428-8630
Chen MaiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhihao ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.ORCID https://orcid.org/0009-0007-7018-6022
Shiyao ZhangBeijing Chaoyang District Center for Disease Control and Prevention, No. 25 Hujing Road, Chaoyang District, Beijing 100021, China.
Lin MaBeijing Daxing District Center for Disease Control and Prevention, No. 55 Xinghua Street, Daxing District, Beijing 102600, China.
Fei YeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Weibang HuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Yuda ChenBeijing Chaoyang District Center for Disease Control and Prevention, No. 25 Hujing Road, Chaoyang District, Beijing 100021, China.
Meihui LuoBeijing Daxing District Center for Disease Control and Prevention, No. 55 Xinghua Street, Daxing District, Beijing 102600, China.
Xiaona YangBeijing Daxing District Center for Disease Control and Prevention, No. 55 Xinghua Street, Daxing District, Beijing 102600, China.
Wenling WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Jiegang HuangSchool of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
Wenjie TanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.ORCID https://orcid.org/0000-0002-5963-1136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human adenovirus type C (HAdV-C) causes upper respiratory infections in children and may lead to severe pneumonia. During the implementation and subsequent relaxation of non-pharmaceutical interventions, HAdV-C emerged as a transiently dominant circulating strain in Beijing. However, the fine-scale genomic architecture and the evolutionary trajectories governing its recombination remains insufficiently characterized. Between March 2023 and August 2024, respiratory samples from Beijing patients were collected and screened by quantitative PCR. In conjunction with high-throughput whole-genome sequencing, five complete HAdV-C genomes were characterized, predominantly identified as genotypes C1 and C108, maintaining over 98% intra-typic sequence identity. Phylogenetic analysis based on whole genomic sequences revealed at least five evolutionary branches within C108. Phylogenetic reconstruction revealed a complex diversification within C108, delineating at least five distinct evolutionary clades. Specifically, the four C108 strains partitioned into two divergent sub-lineages, exhibiting close phylogenetic affinities with sequences from China and the United States. Furthermore, recombination analysis identified six discrete recombination patterns. Selection pressure analysis further demonstrated heterogenous evolutionary constraints across the genome; notably, immune-relevant early genes such as

Indexed as

genomic evolutionHAdV-C108phylodynamicpositive selectionrecombinationrespiratory infection

Identifiers

PMID42488851
PMCPMC13390923

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.