Literature DB >> 24087850

Kinetics of allosteric transitions in S-adenosylmethionine riboswitch are accurately predicted from the folding landscape.

Jong-Chin Lin1, D Thirumalai.   

Abstract

Riboswitches are RNA elements that allosterically regulate gene expression by binding cellular metabolites. The SAM-III riboswitch, one of several classes that binds S-adenosylmethionine (SAM), represses translation upon binding SAM (OFF state) by encrypting the ribosome binding sequence. We have carried out simulations of the RNA by applying mechanical force (f) to the ends of SAM-III, with and without SAM, to get quantitative insights into the f-dependent structural changes. Force-extension (z) curves (FECs) for the apo (ON) state, obtained in simulations in which f is increased at a constant loading rate, show three intermediates, with the first one being the rupture of SAM binding region, which is greatly stabilized in the OFF state. Force-dependent free energy profiles, G(z,f), as a function of z, obtained in equilibrium constant force simulations, reveal the intermediates observed in FECs. The predicted stability difference between the ON and OFF states using G(z,f) is in excellent agreement with experiments. Remarkably, using G(z,f)s and estimate of an effective diffusion constant at a single value of f allows us to predict the f-dependent transition rates using theory of first passage times for both the apo and holo states. To resolve the kinetics of assembly of SAM-III riboswitch in structural terms, we use force stretch-quench pulse sequences in which the force on RNA is maintained at a low (fq) value starting from a high value for a time period tq. Variation of tq over a wide range results in resolution of elusive states involved in the SAM binding pocket and leads to accurate determination of folding times down to fq = 0. Quantitative measure of the folding kinetics, obtained from the folding landscape, allows us to propose that, in contrast to riboswitches regulating transcription, SAM-III functions under thermodynamic control provided the basal concentration of SAM exceeds a small critical value. All of the predictions are amenable to tests in single molecule pulling experiments.

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Year:  2013        PMID: 24087850      PMCID: PMC3861500          DOI: 10.1021/ja408595e

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  47 in total

1.  Probing protein-protein interactions by dynamic force correlation spectroscopy.

Authors:  V Barsegov; D Thirumalai
Journal:  Phys Rev Lett       Date:  2005-10-10       Impact factor: 9.161

2.  Probing the mechanical folding kinetics of TAR RNA by hopping, force-jump, and force-ramp methods.

Authors:  Pan T X Li; Delphine Collin; Steven B Smith; Carlos Bustamante; Ignacio Tinoco
Journal:  Biophys J       Date:  2005-10-07       Impact factor: 4.033

Review 3.  Regulation of bacterial gene expression by riboswitches.

Authors:  Wade C Winkler; Ronald R Breaker
Journal:  Annu Rev Microbiol       Date:  2005       Impact factor: 15.500

4.  Dynamics of allosteric transitions in GroEL.

Authors:  Changbong Hyeon; George H Lorimer; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-29       Impact factor: 11.205

5.  Force unfolding kinetics of RNA using optical tweezers. I. Effects of experimental variables on measured results.

Authors:  Jin-Der Wen; Maria Manosas; Pan T X Li; Steven B Smith; Carlos Bustamante; Felix Ritort; Ignacio Tinoco
Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

6.  Nonlocal helix formation is key to understanding S-adenosylmethionine-1 riboswitch function.

Authors:  Paul C Whitford; Alexander Schug; John Saunders; Scott P Hennelly; José N Onuchic; Kevin Y Sanbonmatsu
Journal:  Biophys J       Date:  2009-01       Impact factor: 4.033

7.  Crystal structures of the SAM-III/S(MK) riboswitch reveal the SAM-dependent translation inhibition mechanism.

Authors:  Changrui Lu; Angela M Smith; Ryan T Fuchs; Fang Ding; Kanagalaghatta Rajashankar; Tina M Henkin; Ailong Ke
Journal:  Nat Struct Mol Biol       Date:  2008-09-21       Impact factor: 15.369

8.  The SAM-responsive S(MK) box is a reversible riboswitch.

Authors:  Angela M Smith; Ryan T Fuchs; Frank J Grundy; Tina M Henkin
Journal:  Mol Microbiol       Date:  2010-10-18       Impact factor: 3.501

9.  The S(MK) box is a new SAM-binding RNA for translational regulation of SAM synthetase.

Authors:  Ryan T Fuchs; Frank J Grundy; Tina M Henkin
Journal:  Nat Struct Mol Biol       Date:  2006-02-19       Impact factor: 15.369

10.  Single-molecule force spectroscopy of the add adenine riboswitch relates folding to regulatory mechanism.

Authors:  Krishna Neupane; Hao Yu; Daniel A N Foster; Feng Wang; Michael T Woodside
Journal:  Nucleic Acids Res       Date:  2011-06-08       Impact factor: 16.971

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  11 in total

1.  Understanding the kinetic mechanism of RNA single base pair formation.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-22       Impact factor: 11.205

2.  Using simulations and kinetic network models to reveal the dynamics and functions of riboswitches.

Authors:  Jong-Chin Lin; Jeseong Yoon; Changbong Hyeon; D Thirumalai
Journal:  Methods Enzymol       Date:  2015-02-03       Impact factor: 1.600

Review 3.  Common themes and differences in SAM recognition among SAM riboswitches.

Authors:  Ian R Price; Jason C Grigg; Ailong Ke
Journal:  Biochim Biophys Acta       Date:  2014-05-23

4.  Generalized Manning Condensation Model Captures the RNA Ion Atmosphere.

Authors:  Ryan L Hayes; Jeffrey K Noel; Ana Mandic; Paul C Whitford; Karissa Y Sanbonmatsu; Udayan Mohanty; José N Onuchic
Journal:  Phys Rev Lett       Date:  2015-06-26       Impact factor: 9.161

5.  Salt Effects on the Thermodynamics of a Frameshifting RNA Pseudoknot under Tension.

Authors:  Naoto Hori; Natalia A Denesyuk; D Thirumalai
Journal:  J Mol Biol       Date:  2016-06-15       Impact factor: 5.469

6.  SOP-GPU: influence of solvent-induced hydrodynamic interactions on dynamic structural transitions in protein assemblies.

Authors:  Andrey Alekseenko; Olga Kononova; Yaroslav Kholodov; Kenneth A Marx; Valeri Barsegov
Journal:  J Comput Chem       Date:  2016-03-26       Impact factor: 3.376

Review 7.  Computational Methods for Modeling Aptamers and Designing Riboswitches.

Authors:  Sha Gong; Yanli Wang; Zhen Wang; Wenbing Zhang
Journal:  Int J Mol Sci       Date:  2017-11-17       Impact factor: 5.923

Review 8.  Co-Transcriptional Folding and Regulation Mechanisms of Riboswitches.

Authors:  Sha Gong; Yanli Wang; Zhen Wang; Wenbing Zhang
Journal:  Molecules       Date:  2017-07-13       Impact factor: 4.411

9.  Effects of flanking regions on HDV cotranscriptional folding kinetics.

Authors:  Yanli Wang; Zhen Wang; Taigang Liu; Sha Gong; Wenbing Zhang
Journal:  RNA       Date:  2018-06-28       Impact factor: 4.942

10.  Incorporation of a FRET Pair into a Riboswitch RNA to Measure Mg2+ Concentration and RNA Conformational Change in Cell.

Authors:  Yanyan Xue; Yu Liu
Journal:  Int J Mol Sci       Date:  2022-01-27       Impact factor: 5.923

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