Predicting mammalian hosts in which novel coronaviruses can be generated.
Predicting mammalian hosts in which novel coronaviruses can be generated.
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预测可产生新型冠状病毒的哺乳动物宿主。
DOI：
10.1038/s41467-021-21034-5
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发表时间：
2021-02-16
影响因子：
16.6
通讯作者：
Blagrove MSC
中科院分区：
文献类型：
--
作者：
Wardeh M;Baylis M;Blagrove MSC
新的致病性冠状病毒-如SARS-CoV和可能的SARS-CoV-2 -通过单细胞中共感染病毒之间的同源重组而产生。因此，确定新型冠状病毒的可能来源需要确定多种冠状病毒的宿主;然而，大多数冠状病毒与宿主的相互作用仍然未知。在这里，通过从三个互补的角度（病毒，哺乳动物和网络）部署相似性学习器的元集成，我们预测哪些哺乳动物是多种冠状病毒的宿主。我们预测，与迄今为止观察到的>0.5平均概率临界值相比，冠状病毒-宿主关联性增加了11.5倍，潜在SARS-CoV-2重组宿主增加了30倍以上，具有4种或更多不同冠状病毒亚属的宿主物种增加了40倍以上（在>0.9821时分别为2.4倍、4.25倍和9倍）。我们的研究结果表明，人们对野生和驯养动物中新型冠状病毒产生的潜在规模严重低估。我们识别高风险物种进行冠状病毒监测。共感染冠状病毒之间的同源重组可以产生新的病原体。在这里，Wardeh等人开发了一种机器学习方法来预测哺乳动物与多种冠状病毒之间的关联，从而估计通过重组产生新型冠状病毒的潜力。
Novel pathogenic coronaviruses – such as SARS-CoV and probably SARS-CoV-2 – arise by homologous recombination between co-infecting viruses in a single cell. Identifying possible sources of novel coronaviruses therefore requires identifying hosts of multiple coronaviruses; however, most coronavirus-host interactions remain unknown. Here, by deploying a meta-ensemble of similarity learners from three complementary perspectives (viral, mammalian and network), we predict which mammals are hosts of multiple coronaviruses. We predict that there are 11.5-fold more coronavirus-host associations, over 30-fold more potential SARS-CoV-2 recombination hosts, and over 40-fold more host species with four or more different subgenera of coronaviruses than have been observed to date at >0.5 mean probability cut-off (2.4-, 4.25- and 9-fold, respectively, at >0.9821). Our results demonstrate the large underappreciation of the potential scale of novel coronavirus generation in wild and domesticated animals. We identify high-risk species for coronavirus surveillance. Homologous recombination between co-infecting coronaviruses can produce novel pathogens. Here, Wardeh et al. develop a machine learning approach to predict associations between mammals and multiple coronaviruses and hence estimate the potential for generation of novel coronaviruses by recombination.
影响因子：
5.4
作者：
Alekseev, Konstantin P.;Vlasova, Anastasia N.;Saif, Linda J.
通讯作者：
Saif, Linda J.
DOI：
10.1099/jgv.0.001491
发表时间：
2020-12
期刊：
The Journal of general virology
影响因子：
--
作者：
Banerjee A;Doxey AC;Tremblay BJ;Mansfield MJ;Subudhi S;Hirota JA;Miller MS;McArthur AG;Mubareka S;Mossman K
通讯作者：
Mossman K
影响因子：
6.6
作者：
Barbet-Massin, Morgane;Jiguet, Frederic;Thuiller, Wilfried
通讯作者：
Thuiller, Wilfried