Global distribution and evolution of nine major non-polio enteroviruses revealed by genomic data mining
Han Mo, Hui Li, Jiadong Wu, Liu Yi, Fenglan He, Qingmei Huang, Xian Zhang, Qian Yang, Tianmu Chen, Xianfeng Zhou

TL;DR
This study uses genomic data to track the global spread and evolution of nine non-polio enteroviruses, revealing patterns and mutations that could help improve disease control.
Contribution
The study introduces a new framework for analyzing VP1 mutation thresholds and identifies immune-driven evolution in enterovirus capsid proteins.
Findings
EV-D68 and HFMD-associated serotypes show distinct biennial/triennial cycles and seasonal peaks.
The '60% Transcendence' phenomenon links VP1 nucleotide mutations to non-synonymous amino acid changes, indicating immune escape.
EV-A71, CVA16, and CVA6 show sustained genetic expansion, while CVB5 and EV-D68 diversity declined during the pandemic.
Abstract
This study aimed to elucidate the global epidemic trends and evolutionary characteristics of nine major non-polio enterovirus serotypes (CVA2, CVA4, CVA6, CVA10, CVA16, CVB3, CVB5, EV-A71, and EV-D68) through genomic data mining, focusing on their spatiotemporal distribution and evolutionary dynamics. We employed a data mining framework integrating programming, phylogenetic analysis, Bayesian evolutionary modeling, and selection pressure assessment. Over 40,000 genomic sequences from GenBank were analyzed to reconstruct temporal phylogenies, estimate evolutionary rates, and characterize amino acid variability in the capsid protein VP1. Seasonal decomposition and spatial-temporal trend modeling were applied to evaluate epidemic patterns across the six WHO regions. Key findings include [1]: Distinct biennial or triennial epidemic cycles for EV-D68 and clear seasonal peaks for…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsViral Infections and Immunology Research · Animal Virus Infections Studies · Respiratory viral infections research
