bioRxivBiophysicsPreprint
Translational T-box riboswitches bind tRNA by modulating conformational flexibility
E. Campos-Chavez, S. Paul, Z. Zhou, D. Alonso, A. R. Verma, J. Fei, A. Mondragon
Abstract
T-box riboswitches, paradigmatic non-coding RNA elements involved in genetic regulation in most Gram-positive bacteria, are adept at monitoring amino acid metabolism through direct interactions with specific tRNAs. T-box riboswitches assess tRNA aminoacylation status, subsequently regulating the transcription or translation of downstream genes involved in amino acid metabolism. Here we present single-molecule FRET studies of the Mycobacterium tuberculosis IleS T-box riboswitch, a model of T-box translational regulation. The data supports a two-step binding model where the tRNA anticodon is recognized first, followed by interactions with the NCCA sequence. Specifically, after anticodon recognition, tRNA in the partially bound state can transiently dock into the discriminator domain, resembling the fully bound state, even in the absence of the tRNA NCCA-discriminator interactions. Establishment of the NCCA-discriminator interactions significantly stabilizes the fully bound state. Collectively, the data suggests higher conformational flexibility in translation-regulating T-box riboswitches, compared to transcription-regulating ones, and supports a conformational selection model for NCCA recognition. Furthermore, it was found that the conserved RAG sequence is pivotal in maintaining specific interactions with the tRNA NCCA sequence by preventing sampling of an aberrant conformational state, while Stem IIA/B-linker interactions impact the conformational dynamics and the stability of both the partially bound and fully bound states. The present study provides a critical kinetic basis for how specific sequences and structural elements in T-box riboswitches enable the binding efficiency and specificity required to achieve gene regulation.
- organism: E. coli
- assay: proteomics
- research focus: protein folding & dynamics
- research focus: cell signaling & trafficking
- approach: microscopy & imaging analysis
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