Data-driven modelling captures dynamics of the circadian clock of Neurospora crassa

PLoS Comput Biol. 2022 Aug 11;18(8):e1010331. doi: 10.1371/journal.pcbi.1010331. eCollection 2022 Aug.

Abstract

Eukaryotic circadian clocks are based on self-sustaining, cell-autonomous oscillatory feedback loops that can synchronize with the environment via recurrent stimuli (zeitgebers) such as light. The components of biological clocks and their network interactions are becoming increasingly known, calling for a quantitative understanding of their role for clock function. However, the development of data-driven mathematical clock models has remained limited by the lack of sufficiently accurate data. Here we present a comprehensive model of the circadian clock of Neurospora crassa that describe free-running oscillations in constant darkness and entrainment in light-dark cycles. To parameterize the model, we measured high-resolution time courses of luciferase reporters of morning and evening specific clock genes in WT and a mutant strain. Fitting the model to such comprehensive data allowed estimating parameters governing circadian phase, period length and amplitude, and the response of genes to light cues. Our model suggests that functional maturation of the core clock protein Frequency causes a delay in negative feedback that is critical for generating circadian rhythms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Circadian Clocks* / genetics
  • Circadian Rhythm / genetics
  • Fungal Proteins / genetics
  • Fungal Proteins / metabolism
  • Neurospora crassa* / genetics

Substances

  • Fungal Proteins

Grants and funding

◻ This work was supported by German Research Foundation (DFG) through grant INST 35/1314-1 FUGG and INST 35/1503-1 FUGG. M.B. and T.H. are supported by the Deutsche Forschungsgemeinschaft, TRR186. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.