Modular RNA:DNA Nanostructures Enable Nanopore Profiling of rRNA Processing and rRNA Variants.

Abstract

Ribosomal RNAs (rRNAs) serve as species-defining markers and undergo processing steps, such as excision of intervening sequences (IVSs). Direct analysis of native rRNAs is hampered by enzyme-induced biases and by the high conservation of rRNA sequences, which complicate discrimination of closely related variants. Here, we present modular RNA:DNA nanostructures that enable direct identification of native rRNAs and their variants. The approach employs rationally designed RNA:DNA duplexes, named RNA identifiers (IDs), assembled onto native rRNAs via short complementary oligonucleotides bearing programmable coding motifs. We demonstrate that native bacterial 16S rRNAs can be directly converted to RNA IDs and detected with solid-state nanopores. Having established a direct rRNA readout, we next show that biologically encoded rRNA processing states, including serovar-specific 23S rRNA fragmentation patterns arising from IVS excision, are resolved using RNA IDs. Finally, to extend discrimination beyond processing-level differences, we incorporate catalytically inactive Cas9 ribonucleoprotein complexes to enable single-nucleotide discrimination of rRNA variants. Our modular RNA ID nanopore system facilitates the study of rRNA processing and rRNA diversity.