局部 SARS-CoV-2 爆发的分子流行病学调查--公共算法的实用性。

Mahmood Y Bilal, James S Klutts
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引用次数: 0

摘要

近来,有针对性的病毒测序方法与可用的生物信息学技术迅速发展,为在分子水平上研究严重急性呼吸系统综合征冠状病毒-2(CoV-2)病毒提供了一个有效的平台。这些方法可用于病毒分子流行病学领域,对局部疫情群进行评估和关联。为此,我们将公开可用的算法与有针对性的 RNASeq 数据相结合,以定性评估来自医院或辅助生活设施的可疑疫情菌株之间的相似性或不相似性。这些工具包括利用 Nextclade 和现有 tRee(UShER)上的超快样本定位进行系统发生学聚类和突变分析。在分子流行病学的背景下,我们在此利用三个案例介绍了这些疫情筛查工具,以及它们的局限性和未来的潜在发展。我们预计这些方法可在配备 CoV-2 测序技术的临床分子实验室中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular Epidemiological Investigations of Localized SARS-CoV-2 Outbreaks-Utility of Public Algorithms.

Molecular Epidemiological Investigations of Localized SARS-CoV-2 Outbreaks-Utility of Public Algorithms.

Molecular Epidemiological Investigations of Localized SARS-CoV-2 Outbreaks-Utility of Public Algorithms.

Molecular Epidemiological Investigations of Localized SARS-CoV-2 Outbreaks-Utility of Public Algorithms.

The recent rapid expansion of targeted viral sequencing approaches in conjunction with available bioinformatics have provided an effective platform for studying severe acute respiratory syndrome coronavirus-2 (CoV-2) virions at the molecular level. These means can be adapted to the field of viral molecular epidemiology, wherein localized outbreak clusters can be evaluated and linked. To this end, we have integrated publicly available algorithms in conjunction with targeted RNASeq data in order to qualitatively evaluate similarity or dissimilarity between suspect outbreak strains from hospitals, or assisted living facilities. These tools include phylogenetic clustering and mutational analysis utilizing Nextclade and Ultrafast Sample placement on Existing tRee (UShER). We herein present these outbreak screening tools utilizing three case examples in the context of molecular epidemiology, along with limitations and potential future developments. We anticipate that these methods can be performed in clinical molecular laboratories equipped with CoV-2-sequencing technology.

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来源期刊
CiteScore
3.60
自引率
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