基亚萨努尔森林疾病的分子流行病学使用ONT-NGS,一个前进测序的领域
Shashi Sharma1, Pooja Yadav1, Paban Kumar Dash1
1Virology Division, Defence Research Development Establishment, Jhansi Road, Gwalior 474002, India.
概括
从2018年到2020年对Kyasanur森林疾病病毒 (KFDV) 的基因组测序揭示了新的循环菌株. 这项研究为印度KFDV监测和疫苗开发提供了关键的分子数据.
科学领域:
- * 病毒学 病毒学
- * 分子流行病学
- * 生物信息学是一门学科.
背景情况:
- *凯萨努尔森林病 (KFD) 是印度的一个重大公共卫生问题,其特点是季节性爆发.
- * 关于最近流传的Kyasanur森林疾病病毒 (KFDV) 菌株的基因组信息存在关键知识差距.
- * 实地前进,现场策略对于及时检测传染病原体和分子表征至关重要.
研究的目的:
- * 通过现场测序,破译最近流传的Kyasanur森林疾病病毒 (KFDV) 菌株的整个基因组.
- * 分析2018-2020年间的针对KFDV监控数据.
- * 提供基因组见解,以改善针对KFDV的诊断和疫苗策略.
主要方法:
- * 2018-2020年使用牛津纳米孔技术 (ONT) 下一代测序 (NGS) 测序Kyasanur森林疾病病毒 (KFDV) PCR阳性样本的全基因组测序.
- *对测序的KFDV基因组进行了详细的分子遗传学分析.
- * 在流通的KFDV菌株中检测和分析非同名变异.
主要成果:
- * 19个Kyasanur森林疾病病毒 (KFDV) 的整个基因组从印度卡纳塔克邦的Shivamogga地区收集的样本中成功测序.
- *在2018年至2020年期间流传的KFDV菌株中,发现了28种非同名变种.
- *在80%的样本中观察到一种占主导地位的变异,病毒包膜蛋白中有超过10个变化,这表明最近的占主导地位的血统.
结论:
- *本研究是首次报告使用现场前进方法研究最近流传的Kyasanur森林疾病病毒 (KFDV) 菌株.
- *生成的基因组数据为了解KFDV演变和流行病学提供了有价值的信息.
- *这些研究结果将有助于开发和完善诊断工具和疫苗策略,以对抗山森林疾病.
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