Identification and quantification of SARS-CoV-2 leader subgenomic mRNA gene junctions in nasopharyngeal samples shows phasic transcription in animal models of COVID-19 and dysregulation at later time points that can also be identified in humans

Dong, Xiaofeng; Penrice-Randal, Rebekah; Goldswain, Hannah; Prince, Tessa; Randle, Nadine; Salguero, Javier; Tree, Julia; Vamos, Ecaterina; Nelson, Charlotte; Stewart, James P.; Semple, Malcolm G.; Baillie, J. Kenneth; Openshaw, Peter J. M.; Turtle, Lance; Matthews, David A.; Carroll, Miles W.; Darby, Alistair C.; Hiscox, Julian A.

Introduction SARS-CoV-2 has a complex strategy for the transcription of viral subgenomic mRNAs (sgmRNAs), which are targets for nucleic acid diagnostics. Each of these sgRNAs has a unique 5’ sequence, the leader-transcriptional regulatory sequence gene junction (leader-TRS-junction), that can be identified using sequencing. Results High resolution sequencing has been used to investigate the biology of SARS-CoV-2 and the host response in cell culture models and from clinical samples. LeTRS, a bioinformatics tool, was developed to identify leader-TRS-junctions and be used as a proxy to quantify sgmRNAs for understanding virus biology. This was tested on published datasets and clinical samples from patients and longitudinal samples from animal models with COVID-19. Discussion LeTRS identified known leader-TRS-junctions and identified novel species that were common across different species. The data indicated multi-phasic abundance of sgmRNAs in two different animal models, with spikes in sgmRNA abundance reflected in human samples, and therefore has implications for transmission models and nucleic acid-based diagnostics.