Global distribution and evolution of nine major non-polio enteroviruses revealed by genomic data mining

IF 3.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemistry and Biophysics Reports Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI:10.1016/j.bbrep.2026.102485

Han Mo , Hui Li , Jiadong Wu , Liu Yi , Fenglan He , Qingmei Huang , Xian Zhang , Qian Yang , Tianmu Chen , Xianfeng Zhou

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引用次数: 0

Abstract

Objectives

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.

Design

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.

Results

Key findings include [1]: Distinct biennial or triennial epidemic cycles for EV-D68 and clear seasonal peaks for HFMD-associated serotypes [2]; A preliminary observation termed the “60% Transcendence” phenomenon, where once cumulative VP1 nucleotide mutations reach approximately 60%, the cumulative non-synonymous amino acid mutations begin to exceed this threshold [3]; Evidence of episodic positive selection at critical VP1 codons, suggesting immune-driven evolution [4]; Divergent trends in relative genetic diversity, with EV-A71, CVA16, and CVA6 showing sustained expansion, while the diversity of CVB5 and EV-D68 declined sharply during the COVID-19 pandemic.

Conclusions

This study provides valuable insights into the changing landscape of global enterovirus infections and underscores the critical role of genomic epidemiology in tracking their spread. Sustained research in this field is essential for developing effective strategies to prevent and control enterovirus-related diseases worldwide.

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基因组数据挖掘揭示的9种主要非脊髓灰质炎肠道病毒的全球分布和进化

目的通过基因组数据挖掘研究9种主要非脊髓灰质炎肠道病毒（CVA2、CVA4、CVA6、CVA10、CVA16、CVB3、CVB5、EV-A71和EV-D68）的全球流行趋势和进化特征，重点研究其时空分布和进化动态。我们采用了一个数据挖掘框架，集成了编程、系统发育分析、贝叶斯进化建模和选择压力评估。研究人员分析了来自GenBank的40,000多个基因组序列，以重建时间系统发育，估计进化速率，并表征衣壳蛋白VP1的氨基酸变异性。采用季节分解和时空趋势模型对世卫组织6个区域的流行病模式进行了评估。结果主要发现包括[1]:EV-D68有明显的两年或三年流行周期，手足口病相关血清型[2]有明显的季节性高峰；初步观察结果称为“60%超越”现象，即一旦VP1核苷酸累积突变达到约60%，累积的非同义氨基酸突变开始超过这一阈值[3]；关键VP1密码子的偶发性正选择证据，提示免疫驱动进化[4]；相对遗传多样性呈现分化趋势，在疫情期间，EV-A71、CVA16和CVA6的多样性持续扩大，而CVB5和EV-D68的多样性急剧下降。结论本研究为全球肠道病毒感染的变化提供了有价值的见解，并强调了基因组流行病学在追踪其传播方面的关键作用。这一领域的持续研究对于制定有效的战略以预防和控制全球肠道病毒相关疾病至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics

CiteScore

4.60

自引率

0.00%

发文量

191

审稿时长

59 days

期刊介绍： Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.