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      An RNA trapping mechanism in Alphavirus mRNA promotes ribosome stalling and translation initiation

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          Abstract

          During translation initiation, eukaryotic initiation factor 2 (eIF2) delivers the Met-tRNA to the 40S ribosomal subunit to locate the initiation codon (AUG i) of mRNA during the scanning process. Stress-induced eIF2 phosphorylation leads to a general blockade of translation initiation and represents a key antiviral pathway in mammals. However, some viral mRNAs can initiate translation in the presence of phosphorylated eIF2 via stable RNA stem-loop structures (DLP; Downstream LooP) located in their coding sequence (CDS), which promote 43S preinitiation complex stalling on the initiation codon. We show here that during the scanning process, DLPs of Alphavirus mRNA become trapped in ES6S region (680–914 nt) of 18S rRNA that are projected from the solvent side of 40S subunit. This trapping can lock the progress of the 40S subunit on the mRNA in a way that places the upstream initiator AUG i on the P site of 40S subunit, obviating the participation of eIF2. Notably, the DLP structure is released from 18S rRNA upon 60S ribosomal subunit joining, suggesting conformational changes in ES6Ss during the initiation process. These novel findings illustrate how viral mRNA is threaded into the 40S subunit during the scanning process, exploiting the topology of the 40S subunit solvent side to enhance its translation in vertebrate hosts.

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          Most cited references35

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          The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data.

          The classical RNA secondary structure model considers A.U and G.C Watson-Crick as well as G.U wobble base pairs. Here we substitute it for a new one, in which sets of nucleotide cyclic motifs define RNA structures. This model allows us to unify all base pairing energetic contributions in an effective scoring function to tackle the problem of RNA folding. We show how pipelining two computer algorithms based on nucleotide cyclic motifs, MC-Fold and MC-Sym, reproduces a series of experimentally determined RNA three-dimensional structures from the sequence. This demonstrates how crucial the consideration of all base-pairing interactions is in filling the gap between sequence and structure. We use the pipeline to define rules of precursor microRNA folding in double helices, despite the presence of a number of presumed mismatches and bulges, and to propose a new model of the human immunodeficiency virus-1 -1 frame-shifting element.
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            Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single nucleotide resolution.

            Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) interrogates local backbone flexibility in RNA at single-nucleotide resolution under diverse solution environments. Flexible RNA nucleotides preferentially sample local conformations that enhance the nucleophilic reactivity of 2'-hydroxyl groups toward electrophiles, such as N-methylisatoic anhydride (NMIA). Modified sites are detected as stops in an optimized primer extension reaction, followed by electrophoretic fragment separation. SHAPE chemistry scores local nucleotide flexibility at all four ribonucleotides in a single experiment and discriminates between base-paired versus unconstrained or flexible residues with a dynamic range of 20-fold or greater. Quantitative SHAPE reactivity information can be used to establish the secondary structure of an RNA, to improve the accuracy of structure prediction algorithms, to monitor structural differences between related RNAs or a single RNA in different states, and to detect ligand binding sites. SHAPE chemistry rarely needs significant optimization and requires two days to complete for an RNA of 100-200 nucleotides.
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              Automated 3D structure composition for large RNAs

              Understanding the numerous functions that RNAs play in living cells depends critically on knowledge of their three-dimensional structure. Due to the difficulties in experimentally assessing structures of large RNAs, there is currently great demand for new high-resolution structure prediction methods. We present the novel method for the fully automated prediction of RNA 3D structures from a user-defined secondary structure. The concept is founded on the machine translation system. The translation engine operates on the RNA FRABASE database tailored to the dictionary relating the RNA secondary structure and tertiary structure elements. The translation algorithm is very fast. Initial 3D structure is composed in a range of seconds on a single processor. The method assures the prediction of large RNA 3D structures of high quality. Our approach needs neither structural templates nor RNA sequence alignment, required for comparative methods. This enables the building of unresolved yet native and artificial RNA structures. The method is implemented in a publicly available, user-friendly server RNAComposer. It works in an interactive mode and a batch mode. The batch mode is designed for large-scale modelling and accepts atomic distance restraints. Presently, the server is set to build RNA structures of up to 500 residues.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                19 May 2016
                16 March 2016
                16 March 2016
                : 44
                : 9
                : 4368-4380
                Affiliations
                [1 ]Centro de Biología Molecular ‘Severo Ochoa’ (CSIC-UAM) and Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), Madrid, Spain
                [2 ]Structural Biology and Biocomputing Programme, Electron Microscopy Unit, Spanish Nacional Cancer Research Center (CNIO), 28029 Madrid, Spain
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +34 911964809; Email: iventoso@ 123456cbm.csic.es
                Article
                10.1093/nar/gkw172
                4872096
                26984530
                ec8b3b2e-2264-42ba-bd3b-f1451256e90d
                © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 29 February 2016
                : 26 February 2016
                : 28 September 2015
                Page count
                Pages: 13
                Categories
                RNA
                Custom metadata
                19 May 2016

                Genetics
                Genetics

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