Spliceosome profiling visualizes the operations of a dynamic RNP in vivo at nucleotide resolution

Tools to understand how the spliceosome functions in vivo have lagged behind advances in its structural biology. We describe methods to globally profile spliceosome-bound precursor, intermediates and products at nucleotide resolution. We apply these tools to three divergent yeast species that span 600 million years of evolution. The sensitivity of the approach enables detection of novel cases of non-canonical catalysis including interrupted, recursive and nested splicing. Employing statistical modeling to understand the quantitative relationships between RNA features and the data, we uncover independent roles for intron size, position and number in substrate progression through the two catalytic stages. These include species-specific inputs suggestive of spliceosome-transcriptome coevolution. Further investigations reveal ATP-dependent discard of numerous endogenous substrates at both the precursor and lariat-intermediate stages and connect discard to intron retention, a form of splicing regulation. Spliceosome profiling is a quantitative, generalizable global technology to investigate an RNP central to eukaryotic gene expression.\n\nHighlightsO_LIMeasurement of spliceosome-bound precursor and intermediate in three species\nC_LIO_LINon-canonical splicing events revealed\nC_LIO_LIStatistical modeling uncovers substrate features that predict catalytic efficiency\nC_LIO_LIDiscard of suboptimal substrates occurs in vivo and predicts intron-retained mRNAs\nC_LI