scholarly journals Exploring the energy landscape of a SAM-I riboswitch

Author(s):  
Christoph Manz ◽  
Andrei Yu Kobitski ◽  
Ayan Samanta ◽  
Karin Nienhaus ◽  
Andres Jäschke ◽  
...  

AbstractSAM-I riboswitches regulate gene expression through transcription termination upon binding a S-adenosyl-L-methionine (SAM) ligand. In previous work, we characterized the conformational energy landscape of the full-length Bacillus subtilis yitJ SAM-I riboswitch as a function of Mg2+ and SAM ligand concentrations. Here, we have extended this work with measurements on a structurally similar ligand, S-adenosyl-l-homocysteine (SAH), which has, however, a much lower binding affinity. Using single-molecule Förster resonance energy transfer (smFRET) microscopy and hidden Markov modeling (HMM) analysis, we identified major conformations and determined their fractional populations and dynamics. At high Mg2+ concentration, FRET analysis yielded four distinct conformations, which we assigned to two terminator and two antiterminator states. In the same solvent, but with SAM added at saturating concentrations, four states persisted, although their populations, lifetimes and interconversion dynamics changed. In the presence of SAH instead of SAM, HMM revealed again four well-populated states and, in addition, a weakly populated ‘hub’ state that appears to mediate conformational transitions between three of the other states. Our data show pronounced and specific effects of the SAM and SAH ligands on the RNA conformational energy landscape. Interestingly, both SAM and SAH shifted the fractional populations toward terminator folds, but only gradually, so the effect cannot explain the switching action. Instead, we propose that the noticeably accelerated dynamics of interconversion between terminator and antiterminator states upon SAM binding may be essential for control of transcription.

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jieming Li ◽  
Leyou Zhang ◽  
Alexander Johnson-Buck ◽  
Nils G. Walter

AbstractTraces from single-molecule fluorescence microscopy (SMFM) experiments exhibit photophysical artifacts that typically necessitate human expert screening, which is time-consuming and introduces potential for user-dependent expectation bias. Here, we use deep learning to develop a rapid, automatic SMFM trace selector, termed AutoSiM, that improves the sensitivity and specificity of an assay for a DNA point mutation based on single-molecule recognition through equilibrium Poisson sampling (SiMREPS). The improved performance of AutoSiM is based on accepting both more true positives and fewer false positives than the conventional approach of hidden Markov modeling (HMM) followed by hard thresholding. As a second application, the selector is used for automated screening of single-molecule Förster resonance energy transfer (smFRET) data to identify high-quality traces for further analysis, and achieves ~90% concordance with manual selection while requiring less processing time. Finally, we show that AutoSiM can be adapted readily to novel datasets, requiring only modest Transfer Learning.


2015 ◽  
Vol 112 (11) ◽  
pp. 3403-3408 ◽  
Author(s):  
Danny Kowerko ◽  
Sebastian L. B. König ◽  
Miriam Skilandat ◽  
Daniela Kruschel ◽  
Mélodie C. A. S. Hadzic ◽  
...  

RNA is commonly believed to undergo a number of sequential folding steps before reaching its functional fold, i.e., the global minimum in the free energy landscape. However, there is accumulating evidence that several functional conformations are often in coexistence, corresponding to multiple (local) minima in the folding landscape. Here we use the 5′-exon–intron recognition duplex of a self-splicing ribozyme as a model system to study the influence of Mg2+ and Ca2+ on RNA tertiary structure formation. Bulk and single-molecule spectroscopy reveal that near-physiological M2+ concentrations strongly promote interstrand association. Moreover, the presence of M2+ leads to pronounced kinetic heterogeneity, suggesting the coexistence of multiple docked and undocked RNA conformations. Heterogeneity is found to decrease at saturating M2+ concentrations. Using NMR, we locate specific Mg2+ binding pockets and quantify their affinity toward Mg2+. Mg2+ pulse experiments show that M2+ exchange occurs on the timescale of seconds. This unprecedented combination of NMR and single-molecule Förster resonance energy transfer demonstrates for the first time to our knowledge that a rugged free energy landscape coincides with incomplete occupation of specific M2+ binding sites at near-physiological M2+ concentrations. Unconventional kinetics in nucleic acid folding frequently encountered in single-molecule experiments are therefore likely to originate from a spectrum of conformations that differ in the occupation of M2+ binding sites.


2019 ◽  
Vol 47 (5) ◽  
pp. 1247-1257 ◽  
Author(s):  
Mateusz Dyla ◽  
Sara Basse Hansen ◽  
Poul Nissen ◽  
Magnus Kjaergaard

Abstract P-type ATPases transport ions across biological membranes against concentration gradients and are essential for all cells. They use the energy from ATP hydrolysis to propel large intramolecular movements, which drive vectorial transport of ions. Tight coordination of the motions of the pump is required to couple the two spatially distant processes of ion binding and ATP hydrolysis. Here, we review our current understanding of the structural dynamics of P-type ATPases, focusing primarily on Ca2+ pumps. We integrate different types of information that report on structural dynamics, primarily time-resolved fluorescence experiments including single-molecule Förster resonance energy transfer and molecular dynamics simulations, and interpret them in the framework provided by the numerous crystal structures of sarco/endoplasmic reticulum Ca2+-ATPase. We discuss the challenges in characterizing the dynamics of membrane pumps, and the likely impact of new technologies on the field.


2018 ◽  
Author(s):  
Alexander Carl DeHaven

This thesis contains four topic areas: a review of single-molecule microscropy methods and splicing, conformational dynamics of stem II of the U2 snRNA, the impact of post-transcriptional modifications on U2 snRNA folding dynamics, and preliminary findings on Mango aptamer folding dynamics.


Author(s):  
Hsin-Chih Yeh ◽  
Christopher M. Puleo ◽  
Yi-Ping Ho ◽  
Tza-Huei Wang

In this report, we review several single-molecule detection (SMD) methods and newly developed nanocrystal-mediated single-fluorophore strategies for ultrasensitive and specific analysis of genomic sequences. These include techniques, such as quantum dot (QD)-mediated fluorescence resonance energy transfer (FRET) technology and dual-color fluorescence coincidence and colocalization analysis, which allow separation-free detection of low-abundance DNA sequences and mutational analysis of oncogenes. Microfluidic approaches developed for use with single-molecule detection to achieve rapid, low-volume, and quantitative analysis of nucleic acids, such as electrokinetic manipulation of single molecules and confinement of sub-nanoliter samples using microfluidic networks integrated with valves, are also discussed.


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