Title
Rich Rna Structure Landscapes Revealed By Mutate-And-Map Analysis
Abstract
Landscapes exhibiting multiple secondary structures arise in natural RNA molecules that modulate gene expression, protein synthesis, and viral. We report herein that high-throughput chemical experiments can isolate an RNA's multiple alternative secondary structures as they are stabilized by systematic mutagenesis (mutate-and-map, M-2) and that a computational algorithm, REEFFIT, enables unbiased reconstruction of these states' structures and populations. In an in silico benchmark on non-coding RNAs with complex landscapes, M-2-REEFFIT recovers 95% of RNA helices present with at least 25% population while maintaining a low false discovery rate (10%) and conservative error estimates. In experimental benchmarks, M-2-REEFFIT recovers the structure landscapes of a 35-nt MedLoop hairpin, a 110-nt 16S rRNA four-way junction with an excited state, a 25-nt bistable hairpin, and a 112-nt three-state adenine riboswitch with its expression platform, molecules whose characterization previously required expert mutational analysis and specialized NMR or chemical mapping experiments. With this validation, M-2-REEFFIT enabled tests of whether artificial RNA sequences might exhibit complex landscapes in the absence of explicit design. An artificial flavin mononucleotide riboswitch and a randomly generated RNA sequence are found to interconvert between three or more states, including structures for which there was no design, but that could be stabilized through mutations. These results highlight the likely pervasiveness of rich landscapes with multiple secondary structures in both natural and artificial RNAs and demonstrate an automated chemical/computational route for their empirical characterization.
Year
DOI
Venue
2015
10.1371/journal.pcbi.1004473
PLOS COMPUTATIONAL BIOLOGY
Field
DocType
Volume
Population,RNA,Ribozyme,Riboswitch,Nucleic acid structure,Biology,RNA editing,Bioinformatics,Genetics,Stem-loop,In silico
Journal
11
Issue
ISSN
Citations 
11
1553-7358
1
PageRank 
References 
Authors
0.40
9
2
Name
Order
Citations
PageRank
Pablo Cordero1111.78
Rhiju Das2377.66