Phylogenetic network analysis of SARS-CoV-2 genomes
Phylogenetic network analysis of SARS-CoV-2 genomes
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DOI：
10.1073/pnas.2004999117
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发表时间：
2020-04-28
影响因子：
11.1
通讯作者：
Forster, Michael
中科院分区：
文献类型：
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作者：
Forster, Peter;Forster, Lucy;Forster, Michael
在对160个完整的人类严重急性呼吸综合征冠状病毒2 （SARS-Cov-2）基因组的系统发育网络分析中，我们发现了三个以氨基酸变化为特征的中心变异，我们将其命名为a， B和C，其中a是根据蝙蝠外群冠状病毒的祖先型。A型和C型在东亚以外的地区也有很大比例，即在欧洲和美国。相比之下，B型是东亚最常见的类型，其祖先基因组在没有首先突变成衍生的B型之前似乎没有传播到东亚以外，这表明亚洲以外的地区对这种类型有始祖效应或免疫或环境抗性。该网络忠实地追踪了记录在案的2019冠状病毒病（COVID-19）病例的感染路径，表明系统发育网络同样可以成功地用于帮助追踪未记录的COVID-19感染源，然后可以对其进行隔离，以防止该疾病在全球范围内的复发传播。
In a phylogenetic network analysis of 160 complete human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) genomes, we find three central variants distinguished by amino acid changes, which we have named A, B, and C, with A being the ancestral type according to the bat outgroup coronavirus. The A and C types are found in significant proportions outside East Asia, that is, in Europeans and Americans. In contrast, the B type is the most common type in East Asia, and its ancestral genome appears not to have spread outside East Asia without first mutating into derived B types, pointing to founder effects or immunological or environmental resistance against this type outside Asia. The network faithfully traces routes of infections for documented coronavirus disease 2019 (COVID-19) cases, indicating that phylogenetic networks can likewise be successfully used to help trace undocumented COVID-19 infection sources, which can then be quarantined to prevent recurrent spread of the disease worldwide.