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Published on: February 16, 2017
How the Structure of Signaling Regulation Evolves: Insights From an Evolutionary Model
Danial Asgari1,2, Ann T Tate1,2
1Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.
Negative feedback loops (NFLs) in cell signaling evolve differently. Downstream NFLs show more robust evolution due to stringent selection, while upstream NFLs are more adaptable to changing conditions.
Area of Science:
- Evolutionary biology
- Systems biology
- Molecular biology
Background:
- Signaling pathways use negative feedback loops (NFLs) to regulate cellular responses to environmental changes.
- NFLs can function upstream (reducing input) or downstream (reducing output) of signaling cascades.
- Downstream NFLs regulate gene expression directly, unlike upstream NFLs involving intermediate proteins.
Purpose of the Study:
- To test the hypothesis that downstream NFLs evolve under more stringent selection than upstream NFLs.
- To investigate the evolutionary dynamics and robustness of different NFL architectures.
- To understand the factors influencing the evolution of NFLs in signaling pathways.
Main Methods:
- Developed a minimal model of immune signaling.
- Analyzed the evolutionary rates of genes encoding upstream and downstream NFLs.
- Simulated the evolution of NFLs under varying model parameters, including signaling cost and protein half-life.
Main Results:
- Genes encoding downstream NFLs evolve at a slower, more consistent rate, indicating stronger selective pressure.
- Upstream NFLs evolve more rapidly and variably, suggesting weaker or context-specific selection.
- The number of signaling steps to activate a downstream NFL is influenced by the cost of signaling.
- Model predicts upstream NFLs favor shorter protein half-lives, absence of co-evolution, and high infection rates.
Conclusions:
- Downstream NFLs exhibit more robust evolutionary trajectories compared to upstream NFLs.
- Evolutionary pressures on NFLs are influenced by signaling pathway architecture and environmental factors.
- Findings provide insights into the evolution of regulatory mechanisms in biological signaling.
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