Evidence map›Paper›PMID 40574799›Full record

ArticleFrontiers in genetics2025

Genetic and codon usage analyses reveal the evolution of the seoul virus.

Yamei Wei, Yanan Cai, Xu Han, Zhanying Han, Yanbo Zhang, Yonggang Xu, Caixiao Jiang, Qi Li

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yamei WeiSchool of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.
Yanan CaiSchool of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.
Xu HanInstitute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Zhanying HanInstitute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Yanbo ZhangInstitute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Yonggang XuInstitute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Caixiao JiangInstitute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Qi LiSchool of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Seoul virus ( Methods: This study integrated coding sequences from GenBank and previously acquired SEOV strains to systematically analyze genetic evolution and codon usage bias. Results: It revealed that SEOV evolved seven clades (A-G) with distinct amino acid variation sites and geographic clustering. Recombination events were identified during evolution, alongside purifying and positive selection on specific sites (e.g., codon 259 in the S segment and codon 11 in the M segment). The three viral segments (L, M, and S) exhibited weak codon usage bias, predominantly driven by natural selection, with host adaptation significantly influencing evolutionary trajectories. The S segment demonstrated the strongest pathogenicity due to its closer codon usage alignment with Conclusion: These findings elucidate the evolutionary mechanisms of SEOV and provide a theoretical foundation for live attenuated vaccine design and region-specific viral control strategies.

Indexed as

codon usage biasevolutiongenetichantavirusphylogeneticseoul virus

Identifiers

PMID40574799
PMCPMC12198216

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