In a stochastic ribosome-traffic model with antibiotic-induced pauses and finite mRNA lifetimes, longer transcripts suffer disproportionately stronger translation inhibition, driven by collective ribosome dynamics rather than single-ribosome kinetics.
Biologically relevant finite-size effects in a driven lattice gas with particle pausing and dynamical defects
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abstract
In this article we present a comprehensive study of the totally asymmetric simple exclusion process with pausing particles (pTASEP), a model initially introduced to describe RNAP dynamics during transcription. We extend previous mean-field approaches and demonstrate that the pTASEP is equivalent to the exclusion process with dynamical defects (ddTASEP), thus broadening the scope of our investigation to a larger class of problems related to transcription and translation. We extend the mean-field theory to the open boundary case, revealing the system's phase diagram and critical values of entry and exit rates. However, we identify a significant discrepancy between theory and simulations in a region of the parameter space, indicating severe finite-size effects. To address this, we develop a single-cluster approximation that captures the relationship between current and lattice size, providing a more accurate representation of the system's dynamics. Finally, we extend our approach to open boundary conditions, demonstrating its applicability in different scenarios. Our findings underscore the importance of considering finite-size effects, often overlooked in the literature, when modelling biological processes such as transcription and translation.
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Paused in translation: A model for the transcript length-dependent impact of ribosome-targeting antibiotics
In a stochastic ribosome-traffic model with antibiotic-induced pauses and finite mRNA lifetimes, longer transcripts suffer disproportionately stronger translation inhibition, driven by collective ribosome dynamics rather than single-ribosome kinetics.