RESUMEN
RNA structure heterogeneity is a major challenge when querying RNA structures with chemical probing. We introduce DRACO, an algorithm for the deconvolution of coexisting RNA conformations from mutational profiling experiments. Analysis of the SARS-CoV-2 genome using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and DRACO, identifies multiple regions that fold into two mutually exclusive conformations, including a conserved structural switch in the 3' untranslated region. This work may open the way to dissecting the heterogeneity of the RNA structurome.
Asunto(s)
Algoritmos , Genoma Viral/genética , Conformación de Ácido Nucleico , ARN Viral/química , SARS-CoV-2/genética , Regiones no Traducidas 3'/genética , COVID-19 , Humanos , Mutación/efectos de los fármacos , Mutación/genética , ARN Viral/genética , Ésteres del Ácido Sulfúrico/farmacologíaRESUMEN
Defining the in vivo folding pathway of cellular RNAs is essential to understand how they reach their final native conformation. We here introduce a novel method, named Structural Probing of Elongating Transcripts (SPET-seq), that permits single-base resolution analysis of transcription intermediates' secondary structures on a transcriptome-wide scale, enabling base-resolution analysis of the RNA folding events. Our results suggest that cotranscriptional RNA folding in vivo is a mixture of cooperative folding events, in which local RNA secondary structure elements are formed as they get transcribed, and non-cooperative events, in which 5'-halves of long-range helices get sequestered into transient non-native interactions until their 3' counterparts have been transcribed. Together our work provides the first transcriptome-scale overview of RNA cotranscriptional folding in a living organism.