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采用ONT-NGS现场正向测序的基桑努尔森林病分子流行病学

Molecular epidemiology of Kyasanur forest disease employing ONT-NGS a field forward sequencing.

作者信息

Sharma Shashi, Yadav Pooja, Dash Paban Kumar, Dhankher Suman

机构信息

Virology Division, Defence Research Development Establishment, Jhansi Road, Gwalior 474002, India.

Virology Division, Defence Research Development Establishment, Jhansi Road, Gwalior 474002, India.

出版信息

J Clin Virol. 2025 Apr;177:105783. doi: 10.1016/j.jcv.2025.105783. Epub 2025 Mar 28.

DOI:10.1016/j.jcv.2025.105783
PMID:40168937
Abstract

The future of infectious agent detection and molecular characterization lies in field-forward, on-site strategies. The lack of genomic information for recently circulating Kyasanur Forest Disease virus strains is critical. Kyasanur Forest Virus Disease virus PCR-positive samples from 2018 to 2020 were selected for sequencing. Detailed molecular phylogenetic analyses were performed. In this study, we deciphered KFDV whole genomes using the ONT-NGS technique to analyze targeted KFD surveillance from 2018-2020. This study is the first to report recently circulating KFDV strains employing a simple on-site field-forward approach for viral surveillance. Altogether, 19 KFDV genomes were sequenced, and 28 non-synonymous variants were detected in the viral strains circulating from 2018-2020 in the Shivamogga district of Karnataka state in India. The prevailing Variant was detected in more than 10 changes in 80 % of the samples in the viral envelope protein. Recently, circulating KFDV has been the predominant lineage over the past years. India reports seasonal outbreaks almost every year from the Karnataka state of the KFD. The genomic sequences deciphered here belong to the period (2018-2020) that covers the KFDV sequences as the first information. This will contribute to the development and revisiting of diagnostic and vaccine strategies.

摘要

传染病原体检测和分子特征分析的未来在于现场前沿的现场策略。最近流行的基桑努尔森林病病毒株缺乏基因组信息,这一点至关重要。选择2018年至2020年基桑努尔森林病毒病病毒PCR阳性样本进行测序,并进行了详细的分子系统发育分析。在本研究中,我们使用ONT-NGS技术解析了基桑努尔森林病病毒的全基因组,以分析2018 - 2020年的目标监测情况。本研究首次报告了最近流行的基桑努尔森林病病毒株,采用了一种简单的现场前沿方法进行病毒监测。总共对19个基桑努尔森林病病毒基因组进行了测序,在印度卡纳塔克邦希瓦莫加区2018 - 2020年流行的病毒株中检测到28个非同义变异。在病毒包膜蛋白80%的样本中,在超过10处变化中检测到了主要变异。最近,在过去几年中,流行的基桑努尔森林病病毒一直是主要谱系。印度几乎每年都报告来自卡纳塔克邦的基桑努尔森林病季节性疫情。这里解析的基因组序列属于涵盖基桑努尔森林病病毒序列的首个信息时期(2018 - 2020年)。这将有助于诊断和疫苗策略的开发与重新审视。

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引用本文的文献

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Kyasanur Forest Disease Virus: Epidemiological Insights, Pathogenesis, Therapeutic Strategies, and Advances in Vaccines and Diagnostics.基孔肯雅森林病病毒:流行病学见解、发病机制、治疗策略以及疫苗与诊断技术的进展
Viruses. 2025 Jul 22;17(8):1022. doi: 10.3390/v17081022.