Ribosomal RNA has a high density of epitranscriptomic modifications essential for faithful translation, and their levels vary across cell types and in disease. Typically, rRNA modifications are quantified in bulk, and therefore, coordination on individual RNA molecules has remained poorly understood. Herein, modification-aware, single-molecule nanopore sequencing enabled detection of the co-occurrence of rRNA modifications on individual transcripts, resolving coordination invisible to ensemble methods. An analytical framework was established that separates co-occurrence from read-quality, false-positive, calling-artifact, near-saturation, and global modification-level confounds, using human rRNAs from HEK293T cells as the test dataset. The method was applied to four human cell lines to find that co-occurrence is not generally explained by a shared small nucleolar RNA (snoRNA) guide; instead, coordinated modifications cluster locally, within [~]100 nucleotides and 35-40 angstroms in the folded ribosome. For one shared-guide pair, coordination increased as guide levels fell across cell lines, possibly indicating an all-or-nothing mode of modification per molecule under limiting guide availability. Further, the results revealed rRNA heterogeneity between the cells in overall modification levels. Finally, levofloxacin remodeled specific modification sites and their local co-occurrence networks, showing that the approach can reveal small-molecule perturbation of rRNA modification networks.
Ettenger, G., Fleming, A. M.
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