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Competitive effects in bacterial mRNA decay.

Thibault A Etienne1, Muriel Cocaign-Bousquet2, Delphine Ropers3

  • 1TBI, Université de Toulouse, CNRS, INRA, INSA, Toulouse, France; Univ. Grenoble Alpes, Inria, 38000 Grenoble, France.

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Summary

Substrate competition significantly impacts messenger RNA (mRNA) decay by slowing down degradation rates. This competition affects enzyme affinity and mRNA half-lives, offering a new model for understanding mRNA regulation.

Keywords:
Michaelis–Menten kineticsQuasi-steady-state assumptionRegulation of gene expressionSubstrate competitionmRNA turnover

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Systems Biology

Background:

  • Enzymes degrade thousands of different messenger RNAs (mRNAs) in organisms.
  • The influence of competing substrates on mRNA degradation has been largely overlooked.
  • Existing models for mRNA half-life determination often use simple exponential decay.

Purpose of the Study:

  • To develop a mechanistic model for coupled mRNA degradation considering substrate competition.
  • To analyze how substrate competition alters mRNA decay dynamics.
  • To provide an alternative to exponential models for mRNA half-life analysis.

Main Methods:

  • Developed a mechanistic model of coupled mRNA degradation.
  • Utilized the quasi-steady-state approximation within the Michaelis-Menten framework.
  • Performed numerical simulations and analyzed rate sensitivity coefficients.

Main Results:

  • Substrate competition alters mRNA decay profiles, causing delays and non-linearities.
  • A negative correlation between mRNA half-life and concentration was observed.
  • Competition globally slows mRNA decay via enzyme titration and amplifies apparent enzyme affinity.

Conclusions:

  • The mechanistic model explains experimental observations of mRNA decay post-transcription arrest.
  • Competition stabilizes weakly binding mRNAs and destabilizes strongly binding ones.
  • This model offers a novel framework for analyzing mRNA degradation regulation and experimental data.