Burgos Germán, Ambuludí Andrés, Morales-Jadán Diana, Garcia-Bereguiain Miguel Angel, Muslin Claire, Armijos-Jaramillo Vinicio
Facultad de Medicina, Universidad de Las Américas (UDLA) , Quito, Ecuador.
One Health Research Group, Faculty of Health Sciences, Universidad de Las Américas (UDLA) , Quito, Ecuador.
Microbiol Spectr. 2023 Sep 7;11(5):e0506422. doi: 10.1128/spectrum.05064-22.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging virus that, since March 2020, has been responsible for a global and ongoing pandemic. Its rapid spread over the past nearly 3 years has caused novel variants to arise. To monitor the circulation and emergence of SARS-CoV-2 variants, surveillance systems based on nucleotide mutations are required. In this regard, we searched in the spike, ORF8, and nucleocapsid genes to detect variable sites among SARS-CoV-2 variants. We describe polymorphic genetic regions that enable us to differentiate between the Alpha, Beta, Gamma, Delta, and Omicron variants of concern (VoCs). We found 21 relevant mutations, 13 of which are unique for Omicron lineages BA.1/BA.1.1, BA.2, BA.3, BA.4, and BA.5. This genetic profile enables the discrimination between VoCs using only four reverse transcription PCR fragments and Sanger sequencing, offering a cheaper and faster alternative to whole-genome sequencing for SARS-CoV-2 surveillance. IMPORTANCE Our work describes a new (Sanger sequencing-based) screening methodology for SARS-CoV-2, performing PCR amplifications of a few target regions to detect diagnostic mutations between virus variants. Using the methodology developed in this work, we were able to discriminate between the following VoCs: Alpha, Beta, Gamma, Delta, and Omicron (BA.1/BA.1.1, BA.2, BA.3, BA.4, and BA.5). This becomes important, especially in low-income countries where current methodologies like next-generation sequencing have prohibitive costs. Furthermore, rapid detection would allow sanitary authorities to take rapid measures to limit the spread of the virus and therefore reduce the probability of new virus dispersion. With this methodological approach, 13 previously unreported diagnostic mutations among several Omicron lineages were found.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是一种新出现的病毒,自2020年3月以来,它引发了一场全球范围且仍在持续的大流行。在过去近3年里,它迅速传播,导致新的变异株出现。为监测SARS-CoV-2变异株的传播和出现,需要基于核苷酸突变的监测系统。在这方面,我们在刺突蛋白、ORF8和核衣壳基因中进行搜索,以检测SARS-CoV-2变异株之间的可变位点。我们描述了多态性遗传区域,这些区域使我们能够区分关注的阿尔法、贝塔、伽马、德尔塔和奥密克戎变异株(VoC)。我们发现了21个相关突变,其中13个是奥密克戎谱系BA.1/BA.1.1、BA.2、BA.3、BA.4和BA.5所特有的。这种基因特征使得仅使用四个逆转录PCR片段和桑格测序就能区分不同的VoC,为SARS-CoV-2监测提供了一种比全基因组测序更便宜、更快的替代方法。重要性 我们的工作描述了一种新的(基于桑格测序的)SARS-CoV-2筛查方法,对几个目标区域进行PCR扩增,以检测病毒变异株之间的诊断性突变。使用本研究中开发的方法,我们能够区分以下VoC:阿尔法、贝塔、伽马、德尔塔和奥密克戎(BA.1/BA.1.1、BA.2、BA.3、BA.4和BA.5)。这一点变得很重要,特别是在低收入国家,那里像下一代测序这样的现有方法成本过高。此外,快速检测将使卫生当局能够迅速采取措施限制病毒传播,从而降低新病毒扩散的可能性。通过这种方法,在几个奥密克戎谱系中发现了13个以前未报告的诊断性突变。