Evidence map›Paper›PMID 39948168›Full record

ArticleScientific reports2025

Genomic diversity and comparative phylogenomic analysis of genus Norovirus.

Huijeong Doh, Changhyeon Lee, Nam Yee Kim, Yun-Yong Park, Eun-Jeong Kim, Changsun Choi, Seong-Il Eyun

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Huijeong DohDepartment of Life Science, Chung-Ang University, Seoul, 06974, Korea.
Changhyeon LeeThermo Fisher Scientific Inc, Seoul, 06349, Korea.
Nam Yee KimDepartment of Diseases Research, Incheon Metropolitan City Institute of Public Health and Environment, Incheon, 22320, Korea.
Yun-Yong ParkDepartment of Life Science, Chung-Ang University, Seoul, 06974, Korea.
Eun-Jeong KimDepartment of Life Science, Chung-Ang University, Seoul, 06974, Korea.
Changsun ChoiDepartment of Food and Nutrition, Chung-Ang University, Gyeonggi, 17546, Korea.
Seong-Il EyunDepartment of Life Science, Chung-Ang University, Seoul, 06974, Korea. eyun@cau.ac.kr.

Funding

Ministry of Food and Drug Safety 22192MFDS022National Research Foundation of Korea 2022R1A2C4002058
6 · The paper itself

Abstract

Noroviruses consist of ten genogroups, five of which (GI, GII, GIV, GVIII, GIX) infect humans. Noroviruses are traditionally classified based on the VP1 (genotype), RdRP (P-type), or dual-typing nomenclature. However, current classifications solely relying on specific proteins may be insufficient to represent the evolutionary history due to their recombination events. Thus, it is challenging to identify the dual-types in environmental or stool samples co-infected with more than two types using the existing system. We performed a comprehensive genomic analysis using ten assembled genomes with 1417 genomes from NCBI. Our study provides a detailed examination of the genomic characteristics of norovirus and the criteria for current genotypes and P-types. The phylogenomic analysis revealed two key findings: (1) GVIII and GIX are nested within GII and (2) strains of GII.11, GII.18, and GII.19 (swine noroviruses) as well as GIV and GVI form host-based clusters, with GIV.2[GVI.P1] strains in particular suggesting the possibility of another instance of zoonotic transmission. We present a comparison of the phylogenetic findings from gene-based and genome-based analyses. Overall, our study represents an initial step towards the phylogenomic analysis of genus Norovirus. This is valuable for not only interpreting the evolutionary trajectory among norovirus strains but also developing antiviral targeting strategies.

Indexed as

Genetic VariationGenome, ViralGenomicsNorovirusPhylogenyAnimalsCaliciviridae InfectionsEvolution, MolecularGenotypeHumansNorovirusPhylogenomicsSelection pressureSequence similarity network

Identifiers

PMID39948168
PMCPMC11825734

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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.