1. Dual Graph Partitioning Highlights a Small Group of Pseudoknot-Containing RNA Submotifs
- Author
-
Louis Petingi, Swati Jain, Tamar Schlick, and Cigdem Sevim Bayrak
- Subjects
0301 basic medicine ,graph partitioning ,lcsh:QH426-470 ,Base pair ,Computer science ,ribosomal RNAs ,Article ,Nucleic acid secondary structure ,Combinatorics ,03 medical and health sciences ,0302 clinical medicine ,Dual graph ,Genetics ,pseudoknots ,Nucleic acid structure ,Genetics (clinical) ,Quantitative Biology::Biomolecules ,RNA substructures and submotifs ,Graph partition ,RNA ,dual graphs ,Ribosomal RNA ,Quantitative Biology::Genomics ,RNA graphs ,lcsh:Genetics ,030104 developmental biology ,Pseudoknot ,030217 neurology & neurosurgery - Abstract
RNA molecules are composed of modular architectural units that define their unique structural and functional properties. Characterization of these building blocks can help interpret RNA structure/function relationships. We present an RNA secondary structure motif and submotif library using dual graph representation and partitioning. Dual graphs represent RNA helices as vertices and loops as edges. Unlike tree graphs, dual graphs can represent RNA pseudoknots (intertwined base pairs). For a representative set of RNA structures, we construct dual graphs from their secondary structures, and apply our partitioning algorithm to identify non-separable subgraphs (or blocks) without breaking pseudoknots. We report 56 subgraph blocks up to nine vertices, among them, 22 are frequently occurring, 15 of which contain pseudoknots. We then catalog atomic fragments corresponding to the subgraph blocks to define a library of building blocks that can be used for RNA design, which we call RAG-3Dual, as we have done for tree graphs. As an application, we analyze the distribution of these subgraph blocks within ribosomal RNAs of various prokaryotic and eukaryotic species to identify common subgraphs and possible ancestry relationships. Other applications of dual graph partitioning and motif library can be envisioned for RNA structure analysis and design.
- Published
- 2018