Emerging Microbes and Infections (Dec 2024)
Genetic variation and evolutionary characteristics of Echovirus 11: new variant within genotype D5 associated with neonatal death found in China
- Liu Ying,
- Sun Qiang,
- Xiao Jinbo,
- Ren Binzhi,
- Zhao Hua,
- Shi Yong,
- Zhou Shuaifeng,
- Hong Mei,
- Zhou Kangping,
- Cun Jianping,
- Zeng Yunting,
- Chen Jianhua,
- Ge Qiong,
- Ju Yu,
- Lu Huanhuan,
- Li Jichen,
- Cong Ruyi,
- Yang Tingting,
- Wang Rui,
- Zong Yanjun,
- Sun Tiantian,
- Yu Liheng,
- Wang Xiaoyi,
- Zhu Shuangli,
- Yan Dongmei,
- Ji Tianjiao,
- Yang Qian,
- Zhu Zhen,
- Zhang Yong
Affiliations
- Liu Ying
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Sun Qiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Xiao Jinbo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Ren Binzhi
- Pathogen Detection Laboratory, Shanxi Provincial Center for Disease Control and Prevention, Shanxi, People’s Republic of China
- Zhao Hua
- Pathogen Detection Laboratory, Chongqing Provincial Center for Disease Control and Prevention, Chongqing, People’s Republic of China
- Shi Yong
- Pathogen Detection Laboratory, Jiangxi Provincial Center for Disease Control and Prevention, Jiangxi, People’s Republic of China
- Zhou Shuaifeng
- Pathogen Detection Laboratory, Hunan Provincial Center for Disease Control and Prevention, Hunan, People’s Republic of China
- Hong Mei
- Pathogen Detection Laboratory, Xizang Provincial Center for Disease Control and Prevention, Xizang, People’s Republic of China
- Zhou Kangping
- Pathogen Detection Laboratory, Hubei Provincial Center for Disease Control and Prevention, Hubei, People’s Republic of China
- Cun Jianping
- Pathogen Detection Laboratory, Yunnan Provincial Center for Disease Control and Prevention, Yunnan, People’s Republic of China
- Zeng Yunting
- Pathogen Detection Laboratory, Hainan Provincial Center for Disease Control and Prevention, Hainan, People’s Republic of China
- Chen Jianhua
- Pathogen Detection Laboratory, Gansu Provincial Center for Disease Control and Prevention, Gansu, People’s Republic of China
- Ge Qiong
- Pathogen Detection Laboratory, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, People’s Republic of China
- Ju Yu
- Pathogen Detection Laboratory, Guangxi Provincial Center for Disease Control and Prevention, Guangxi, People’s Republic of China
- Lu Huanhuan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Li Jichen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Cong Ruyi
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Yang Tingting
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Wang Rui
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Zong Yanjun
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Sun Tiantian
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Yu Liheng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Wang Xiaoyi
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Zhu Shuangli
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Yan Dongmei
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Ji Tianjiao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Yang Qian
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Zhu Zhen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- Zhang Yong
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
- DOI
- https://doi.org/10.1080/22221751.2024.2361814
- Journal volume & issue
-
Vol. 13,
no. 1
Abstract
Echovirus 11 (E11) has gained attention owing to its association with severe neonatal infections. From 2018 to 2023, a surge in severe neonatal cases and fatalities linked to a novel variant of genotype D5 was documented in China, France, and Italy. However, the prevention and control of E11 variants have been hampered by limited background data on the virus circulation and genetic variance. Therefore, the present study investigated the circulating dynamics of E11 and the genetic variation and molecular evolution of genotype D5 through the collection of strains from the national acute flaccid paralysis (AFP) and hand, foot, and mouth disease (HFMD) surveillance system in China during 2000–2022 and genetic sequences published in the GenBank database. The results of this study revealed a prevalent dynamic of E11 circulation, with D5 being the predominant genotype worldwide. Further phylogenetic analysis of genotype D5 indicated that it could be subdivided into three important geographic clusters (D5-CHN1: 2014–2019, D5-CHN2: 2016–2022, and D5-EUR: 2022–2023). Additionally, variant-specific (144) amino acid mutation sites and positive-selection pressure sites (132, 262) were identified in the VP1 region. Cluster-specific recombination patterns were also identified, with CVB5, E6, and CVB4 as the major recombinant viruses. These findings provide a preliminary landscape of E11 circulation worldwide and basic scientific data for further study of the pathogenicity of E11 variants.
Keywords
