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PMID: 23935473 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Evolutionary evidence for alternative structure in RNA sequence co-variation.

PLoS computational biology ·Vol. 9 ·No. 7 ·2013-00-00 ·Pages e1003152

Ritz J, Martin JS, Laederach A

Abstract

Sequence conservation and co-variation of base pairs are hallmarks of structured RNAs. For certain RNAs (e.g. riboswitches), a single sequence must adopt at least two alternative secondary structures to effectively regulate the message. If alternative secondary structures are important to the function of an RNA, we expect to observe evolutionary co-variation supporting multiple conformations. We set out to characterize the evolutionary co-variation supporting alternative conformations in riboswitches to determine the extent to which alternative secondary structures are conserved. We found strong co-variation support for the terminator, P1, and anti-terminator stems in the purine riboswitch by extending alignments to include terminator sequences. When we performed Boltzmann suboptimal sampling on purine riboswitch sequences with terminators we found that these sequences appear to have evolved to favor specific alternative conformations. We extended our analysis of co-variation to classic alignments of group I/II introns, tRNA, and other classes of riboswitches. In a majority of these RNAs, we found evolutionary evidence for alternative conformations that are compatible with the Boltzmann suboptimal ensemble. Our analyses suggest that alternative conformations are selected for and thus likely play functional roles in even the most structured of RNAs.

MeSH Terms
Evolution, Molecular Nucleic Acid Conformation RNA, Bacterial/chemistry,genetics
Chemicals
RNA, Bacterial
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Ritz Justin
Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Martin Joshua S
Laederach Alain
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2013-00-00
Epub
2013-00-25
Pages
e1003152
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC3723493
Subset
IM
Grants
NCI NIH HHS · P30 CA016086 · United States
NIGMS NIH HHS · R00 GM079953 · United States
NIGMS NIH HHS · R01 GM101237 · United States
NHLBI NIH HHS · R01 HL111527 · United States
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