Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
Center of Excellence in Immunology and Immune-Mediated Diseases, Chulalongkorn University, Bangkok, Thailand.
Sci Rep. 2023 Oct 7;13(1):16945. doi: 10.1038/s41598-023-44219-y.
Non-synonymous mutations in the SARS-CoV-2 spike region affect cell entry, tropism, and immune evasion, while frequent synonymous mutations may modify viral fitness. Host microRNAs, a type of non-coding RNA, play a crucial role in the viral life cycle, influencing viral replication and the host immune response directly or indirectly. Recently, we identified ten miRNAs with a high complementary capacity to target various regions of the SARS-CoV-2 genome. We filtered our candidate miRNAs to those only expressed with documented expression in SARS-CoV-2 target cells, with an additional focus on miRNAs that have been reported in other viral infections. We determined if mutations in the first SARS-CoV-2 variants of concern affected these miRNA binding sites. Out of ten miRNA binding sites, five were negatively impacted by mutations, with three recurrent synonymous mutations present in multiple SARS-CoV-2 lineages with high-frequency NSP3: C3037U and NSP4: G9802U/C9803U. These mutations were predicted to negatively affect the binding ability of miR-197-5p and miR-18b-5p, respectively. In these preliminary findings, using a dual-reporter assay system, we confirmed the ability of these miRNAs in binding to the predicted NSP3 and NSP4 regions and the loss/reduced miRNA bindings due to the recurrent mutations.
非 SARS-CoV-2 刺突区的同义突变影响细胞进入、嗜性和免疫逃避,而频繁的同义突变可能会改变病毒的适应性。宿主 microRNAs 是一种非编码 RNA,在病毒生命周期中发挥着至关重要的作用,直接或间接地影响病毒复制和宿主免疫反应。最近,我们鉴定出了 10 种与 SARS-CoV-2 基因组的多个区域具有高互补能力的 microRNAs。我们对候选 microRNAs 进行了筛选,只选择那些在 SARS-CoV-2 靶细胞中有明确表达记录的 microRNAs,并且特别关注那些在其他病毒感染中已有报道的 microRNAs。我们确定了最初的 SARS-CoV-2 变体中的突变是否会影响这些 microRNA 结合位点。在十个 microRNA 结合位点中,有五个受到突变的负面影响,其中三个重复的同义突变存在于多个具有高频 NSP3:C3037U 和 NSP4:G9802U/C9803U 的 SARS-CoV-2 谱系中。这些突变被预测会分别降低 miR-197-5p 和 miR-18b-5p 的结合能力。在这些初步研究中,我们使用双报告基因检测系统,证实了这些 microRNAs 与预测的 NSP3 和 NSP4 区域结合的能力,以及由于重复突变导致的 microRNA 结合丧失/减少。