Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Clappana, Kerala, India.
Genome Sequencing Lab, Lok Nayak Hospital, Delhi, India.
Adv Exp Med Biol. 2023;1412:253-270. doi: 10.1007/978-3-031-28012-2_14.
Over the last 34 months, at least 10 severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) distinct variants have evolved. Among these, some were more infectious while others were not. These variants may serve as candidates for identification of the signature sequences linked to infectivity and viral transgressions. Based on our previous hijacking and transgression hypothesis, we aimed to investigate whether SARS-CoV-2 sequences associated with infectivity and trespassing of long noncoding RNAs (lncRNAs) provide a possible recombination mechanism to drive the formation of new variants. This work involved a sequence and structure-based approach to screen SARS-CoV-2 variants in silico, taking into account effects of glycosylation and links to known lncRNAs. Taken together, the findings suggest that transgressions involving lncRNAs may be linked with changes in SARS-CoV-2-host interactions driven by glycosylation events.
在过去的 34 个月中，至少有 10 种不同的严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 变体进化而来。其中，有些更具传染性，而有些则不然。这些变体可能成为鉴定与传染性和病毒侵犯相关特征序列的候选者。基于我们之前的劫持和侵犯假说，我们旨在研究与感染性和长非编码 RNA (lncRNA) 侵犯相关的 SARS-CoV-2 序列是否提供了一种可能的重组机制来驱动新变体的形成。这项工作涉及一种基于序列和结构的方法，对 SARS-CoV-2 变体进行计算机筛选，同时考虑糖基化的影响和与已知 lncRNA 的联系。总之，这些发现表明，涉及 lncRNA 的侵犯可能与糖基化事件驱动的 SARS-CoV-2-宿主相互作用的变化有关。
