Modular RNA:DNA nanostructures enable nanopore profiling of ribosomal RNA processing and rRNA variants

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 amplification-induced biases and by the high conservation of rRNA sequences, which complicates discrimination of closely related variants. Here, we present modular RNA:DNA nanostructures that enable direct, amplification-free identification of 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 into RNA IDs and detected with solid-state nanopores. Having established 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 studying rRNA processing and rRNA diversity.

• Publication year

  2026

• Venue

  bioRxiv

• Publication date

  2026-01-19

• Fields of study

  Biology, Medicine

• Identifiers
  DOI 10.1101/2024.08.15.608086
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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