Evidence map›Paper›PMID 40826331›Full record

ArticleBMC genomics2025

Genetic characteristics of rotavirus a in Shenzhen and Zhuhai, China, 2020-2023.

Mingda Hu, Yixiong Lin, Rui Zhang, Xin Wang, Yaqing He, Huitao Huang, Boqian Wang, Wanqiu Liu, Kexin Li, Jingjing Fu and 6 more

Abstract read
In one paragraph

Article in BMC genomics, 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

16 authors.

Mingda Hu *Laboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Yixiong Lin *Institute of Pathogen Biology, Zhuhai Center for Disease Control and Prevention, Zhuhai, China.
Rui Zhang *Laboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Xin Wang *Laboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Yaqing HeInstitute of Pathogen Biology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
Huitao HuangInstitute of Pathogen Biology, Zhuhai Center for Disease Control and Prevention, Zhuhai, China.
Boqian WangLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Wanqiu LiuLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Kexin LiLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Jingjing FuLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Xinru ZhaoLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Buaijier AimaitiLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China.
Wensheng YangInstitute of Pathogen Biology, Zhuhai Center for Disease Control and Prevention, Zhuhai, China.
Hongbin SongChinese PLA Center for Disease Control and Prevention, Beijing, China. hongbinsong@263.net.
Hongguang RenLaboratory of Advanced Biotechnology, Beijing Institute of Biotechnology, Beijing, China. bioren@163.com.
Xiaofeng HuChinese PLA Center for Disease Control and Prevention, Beijing, China. xiaofenghu1988@sohu.com.

Funding

Beijing Municipal Natural Science Foundation of China 7232229National Natural Science Foundation of China 32070025, 62206309
6 · The paper itself

Abstract

backgroundRotavirus A group (RVA) is a leading cause of viral diarrhea, posing a substantial economic and public health burden. Compared to other enteric viruses, RVA possesses diverse genetic mechanisms, making it more challenging to control and prevent. Moreover, surveillance and evolutionary studies on RVA remain limited in Southern China.

methodsWe collected diarrheal stool samples from sentinel hospitals in Shenzhen and Zhuhai between 2020 and 2023. RVA-positive samples were identified via RT-PCR, followed by RNA extraction, sequencing, and genome assembly, yielding 57 RVA strains, comprising 604 sequences. Genotype trends were analyzed statistically. For phylogenetic analysis, global sequences were curated by CD-HIT, aligned with contributed sequences by MAFFT, and analyzed using IQ-TREE. Recombination and reassortment events were detected via RDP4.

resultsWe analyzed the temporal distribution and genetic diversity of 57 newly sequenced strains from Shenzhen and Zhuhai in the context of global sequences. Our findings reveal that the prevalent genotypes of RVA in China have undergone changes over time with the decreasing of G9P[8] and the rising of G8P[8]. Phylogenetic analysis focusing on the VP7 and VP4 genes revealed distinct evolutionary patterns among different genotypes across temporal and geographical dimensions. Additionally, we discovered one reassortment event in the VP7 gene and two recombination events in the NSP1 and NSP5/6 gene.

conclusionswe observed significant variability and complexity in the evolutionary characteristics of RVA in Shenzhen and Zhuhai. These insights enhance our understanding of global evolution and transmission of RVA and provide guidance for future research and vaccine development.

Indexed as

RotavirusRotavirus InfectionsAntigens, ViralCapsid ProteinsChinaDiarrheaFecesGenome, ViralHumansPhylogenyRecombination, GeneticWhole Genome SequencingAntigens, ViralCapsid ProteinsVP4 protein, RotavirusVP7 protein, RotavirusGenetic diversityGenotypeReassortmentRecombinationRotavirus

Identifiers

PMID40826331
PMCPMC12363023

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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.