five

Evolution of Newcastle Disease Virus Subgenotype VII.1.1 in Iran, 2017-2024

收藏
Taylor & Francis Group2025-11-24 更新2026-04-16 收录
下载链接:
https://tandf.figshare.com/articles/dataset/Evolution_of_Newcastle_Disease_Virus_Subgenotype_VII_1_1_in_Iran_2017-2024/30518279/1
下载链接
链接失效反馈
官方服务:
资源简介:
Newcastle disease (ND), caused by Newcastle disease virus (NDV), has posed a continuous threat to Iran’s poultry industry since its first detection in the early 1950s, with subgenotype VII.1.1 currently recognized as the dominant circulating strain. To gain deeper insights into the evolutionary dynamics of NDV in Iran, we performed genome sequencing and phylogenetic analysis on 60 viruses isolated from domestic poultry and wild birds between 2017 and 2024. Maximum likelihood and Bayesian phylogenetic analyses of the fusion (F) and hemagglutinin-neuraminidase (HN) genes revealed that all viruses belong to subgenotype VII.1.1, forming a well-supported monophyletic group, indicative of independent evolution of this subgenotype within Iran after its introduction. The F and HN genes displayed high sequence identities of over 97% and 93%, respectively. All viruses contained a polybasic cleavage site in the F gene (R-R-Q/K-K-R↓F), consistent with virulent NDV strains. The estimated evolutionary rates for the F and HN genes were 1.31 × 10⁻³ and 9.62 × 10⁻<sup>4</sup> substitutions/site/year, respectively. The most recent common ancestor of the subgenotype VII.1.1 F gene was dated to 2007 (95% highest posterior density: 2004-2008), likely originating from the Middle East. Bayesian skyride analysis showed an exponential increase in viral diversity between 2020 and 2024. Continuous surveillance of NDV in both poultry and wild birds in Iran is essential to track ongoing viral evolution, monitor potential changes in virulence or transmissibility, and identify emerging threats to both poultry and public health.
提供机构:
Lee, Sun-Hak; Mehrabadi, Mohammad Hossein Fallah; Sabouri, Fereshteh; Cho, Andrew Y.; Lee, Dong-Hun; Abdoshah, Mohammad; Song, Chang-Seon; Bashashati, Mohsen; Kim, Tae-Hyeon
创建时间:
2025-11-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作