Mori Antonio, Lavezzari Denise, Pomari Elena, Deiana Michela, Piubelli Chiara, Capobianchi Maria Rosaria, Castilletti Concetta
Department of Infectious, Tropical Diseases and Microbiology, IRCCS Sacro Cuore Don Calabria Hospital, Negrar di Valpolicella, 37024, Verona, Italy.
Asp Mol Med. 2023;1:100008. doi: 10.1016/j.amolm.2023.100008. Epub 2023 Apr 16.
Like for other coronaviruses, SARS-CoV-2 gene expression strategy is based on the synthesis of a nested set of subgenomic mRNA species (sgRNAs). These sgRNA are synthesized using a "discontinuous transcription" mechanism that relies on template switching at Transcription Regulatory Sequences (TRS). Both canonical (c-sgRNA) and non-canonical (nc-sgRNA, less numerous) subgenomic RNA species can be produced. Currently, sgRNAs are investigated on the basis of sequence data obtained through next generation sequencing (NGS), and bioinformatic tools are crucial for their identification, characterization and quantification. To date, few software have been developed to this aim, whose reliability and applicability to all the available NGS platforms need to be established, to build confidence on the information resulting from such tools. In fact, these information may be crucial for the in depth elucidation of viral expression strategy, particularly in respect of the significance of nc-sgRNAs, and for the possible use of sgRNAs as potential markers of virus replicative activity in infected patients.
与其他冠状病毒一样,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因表达策略基于一套嵌套的亚基因组mRNA种类(sgRNAs)的合成。这些sgRNA是利用一种“不连续转录”机制合成的,该机制依赖于在转录调控序列(TRS)处的模板切换。经典(c-sgRNA)和非经典(nc-sgRNA,数量较少)的亚基因组RNA种类均可产生。目前,基于通过下一代测序(NGS)获得的序列数据对sgRNAs进行研究,生物信息学工具对于它们的识别、表征和定量至关重要。迄今为止,为此目的开发的软件很少,其对所有可用NGS平台的可靠性和适用性需要确定,以便对这些工具产生的信息建立信心。事实上,这些信息对于深入阐明病毒表达策略可能至关重要,特别是对于nc-sgRNAs的意义,以及对于将sgRNAs用作感染患者中病毒复制活性潜在标志物的可能性而言。