The emergence of SARS-CoV-2 variants of concern endangers the long-term control of COVID-19, especially in countries with limited genomic surveillance. In this work, we explored genomic drivers of contagion in Chile. We sequenced 3443 SARS-CoV-2 genomes collected between January and July 2021, where the Gamma (P.1), Lambda (C.37), Alpha (B.1.1.7), B.1.1.348, and B.1.1 lineages were predominant. Using a Bayesian model tailored for limited genomic surveillance, we found that Lambda and Gamma variants' reproduction numbers were about 5% and 16% larger than Alpha's, respectively. We observed an overabundance of mutations in the Spike gene, strongly correlated with the variant's transmissibility. Furthermore, the variants' mutational signatures featured a breakpoint concurrent with the beginning of vaccination (mostly CoronaVac, an inactivated virus vaccine), indicating an additional putative selective pressure. Thus, our work provides a reliable method for quantifying novel variants' transmissibility under subsampling (as newly-reported Delta, B.1.617.2) and highlights the importance of continuous genomic surveillance.
翻译:SARS-CoV-2变体的出现危及了对COVID-19的长期控制,特别是在基因组监测有限的国家。在这项工作中,我们探讨了智利传染的基因组驱动因素。我们对2021年1月至7月期间收集的3443 SARS-CoV-2基因组进行了排序,其中伽玛(P.1)、兰巴达(C.37)、阿尔法(B1.1.1.7)、B.1.1.348和B.1.1.1的线系居于主导地位。利用为有限的基因组监测而设计的巴耶西亚模型,我们发现兰巴和伽马变异体的繁殖数字分别比阿尔法高5%和16%左右。我们观察到了斯派克基因突变的过重,与变异性基因的可传播性密切相关。此外,变异性信号与疫苗接种的开始时间(主要是科罗纳瓦茨,一种不活跃的病毒疫苗)相平行,表明额外的选择性压力。因此,我们的工作提供了一种可靠的方法,用以在次级1.6号监视之下量化新变异体的可传播性。(ADLA17-B-B-B-B-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G-G)的重要性下量化。