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Progress Toward SHAPE Constrained Computational Prediction of Tertiary Interactions in RNA Structure

Abstract : As more sequencing data accumulate and novel puzzling genetic regulations are discovered, the need for accurate automated modeling of RNA structure increases. RNA structure modeling from chemical probing experiments has made tremendous progress, however accurately predicting large RNA structures is still challenging for several reasons: RNA are inherently flexible and often adopt many energetically similar structures, which are not reliably distinguished by the available, incomplete thermodynamic model. Moreover, computationally, the problem is aggravated by the relevance of pseudoknots and non-canonical base pairs, which are hardly predicted efficiently. To identify nucleotides involved in pseudoknots and non-canonical interactions, we scrutinized the SHAPE reactivity of each nucleotide of the 188 nt long lariat-capping ribozyme under multiple conditions. Reactivities analyzed in the light of the X-Ray structure were shown to report accurately the nucleotide status. Those that seemed paradoxical were rationalized by the nucleotide behavior along molecular dynamic simulations. We show that valuable information on intricate interactions can be deduced from probing with different reagents, and in the presence or absence of Mg 2+. Furthermore, probing at increasing temperature was remarkably efficient at pointing to non-canonical interactions and pseudoknot pairings. The possibilities of following such strategies to inform structure modeling software are discussed.
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Submitted on : Wednesday, November 3, 2021 - 8:21:52 PM
Last modification on : Friday, August 5, 2022 - 11:57:00 AM


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Grégoire de Bisschop, Delphine Allouche, Elisa Frezza, Benoît Masquida, Yann Ponty, et al.. Progress Toward SHAPE Constrained Computational Prediction of Tertiary Interactions in RNA Structure. Non-Coding RNA, 2021, 7 (4), pp.71. ⟨10.3390/ncrna7040071⟩. ⟨hal-03413594⟩



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