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用于快速检测关注突变的宿主体内严重急性呼吸综合征冠状病毒2(SARS-CoV-2)k-mer识别方法(iSKIM)揭示了全球突变模式的出现。

Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns.

作者信息

Thommana Ashley, Shakya Migun, Gandhi Jaykumar, Fung Christian K, Chain Patrick S G, Berry Irina Maljkovic, Conte Matthew A

机构信息

Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA.

Montgomery Blair High School, Silver Spring, MD, USA.

出版信息

bioRxiv. 2022 Aug 16:2022.08.16.504117. doi: 10.1101/2022.08.16.504117.

DOI:10.1101/2022.08.16.504117
PMID:36032969
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9413717/
Abstract

Despite unprecedented global sequencing and surveillance of SARS-CoV-2, timely identification of the emergence and spread of novel variants of concern (VoCs) remains a challenge. Several million raw genome sequencing runs are now publicly available. We sought to survey these datasets for intrahost variation to study emerging mutations of concern. We developed iSKIM ("intrahost SARS-CoV-2 k-mer identification method") to relatively quickly and efficiently screen the many SARS-CoV-2 datasets to identify intrahost mutations belonging to lineages of concern. Certain mutations surged in frequency as intrahost minor variants just prior to, or while lineages of concern arose. The Spike N501Y change common to several VoCs was found as a minor variant in 834 samples as early as October 2020. This coincides with the timing of the first detected samples with this mutation in the Alpha/B.1.1.7 and Beta/B.1.351 lineages. Using iSKIM, we also found that Spike L452R was detected as an intrahost minor variant as early as September 2020, prior to the observed rise of the Epsilon/B.1.429/B.1.427 lineages in late 2020. iSKIM rapidly screens for mutations of interest in raw data, prior to genome assembly, and can be used to detect increases in intrahost variants, potentially providing an early indication of novel variant spread.

摘要

尽管对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)进行了前所未有的全球测序和监测,但及时识别新出现的关注变异株(VoC)的出现和传播仍然是一项挑战。现在有数百万次原始基因组测序结果可供公开获取。我们试图在这些数据集中调查宿主内变异,以研究关注的新出现突变。我们开发了iSKIM(“宿主内SARS-CoV-2 k-mer识别方法”),以相对快速和高效地筛选众多SARS-CoV-2数据集,以识别属于关注谱系的宿主内突变。某些突变在关注谱系出现之前或出现之时,作为宿主内次要变异株,其频率激增。几种VoC共有的刺突蛋白N501Y变化早在2020年10月就在834个样本中被发现为次要变异株。这与在Alpha/B.1.1.7和Beta/B.1.351谱系中首次检测到该突变的样本时间相吻合。使用iSKIM,我们还发现刺突蛋白L452R早在2020年9月就被检测为宿主内次要变异株,早于2020年末观察到的Epsilon/B.1.429/B.1.427谱系的出现。iSKIM可在基因组组装之前快速筛选原始数据中感兴趣的突变,并可用于检测宿主内变异株的增加,有可能为新变异株的传播提供早期迹象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/60d03532f075/nihpp-2022.08.16.504117v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/564a5f3f84cb/nihpp-2022.08.16.504117v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/74d6b1ff35c3/nihpp-2022.08.16.504117v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/b87f35caf181/nihpp-2022.08.16.504117v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/60d03532f075/nihpp-2022.08.16.504117v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/564a5f3f84cb/nihpp-2022.08.16.504117v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/74d6b1ff35c3/nihpp-2022.08.16.504117v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/b87f35caf181/nihpp-2022.08.16.504117v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6490/9413717/60d03532f075/nihpp-2022.08.16.504117v1-f0004.jpg

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