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Related Experiment Video

Updated: May 21, 2026

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

Excess mutual catalysis is required for effective evolvability.

Omer Markovitch1, Doron Lancet

  • 1Weizmann Institute of Science, Rehovot, Israel. omermar@weizmann.ac.il

Artificial Life
|June 6, 2012
PubMed
Summary
This summary is machine-generated.

Mutual catalysis is key for early evolution. Systems with high mutual catalysis propensity (p(mc)) showed greater diversity and selection response in simulations, suggesting its importance for evolution-like behavior in molecular systems.

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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

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Area of Science:

  • Origin of life research
  • Systems chemistry
  • Theoretical biology

Background:

  • Autocatalysis is crucial for replication and evolution, as seen in models like Eigen's hypercycle.
  • Alternative models propose catalytic networks with more apparent cross-catalysis.
  • The balance between self- and mutual-catalysis in these networks is a key question for understanding early evolution.

Purpose of the Study:

  • To investigate how the balance between auto- (self-) and cross- (mutual) catalysis influences the behavior of model evolving systems.
  • To determine the impact of catalytic content on beneficial evolution within the Graded Autocatalysis Replication Domain (GARD) model.
  • To analyze selection response in GARD networks focusing on compotypes (clusters of composomes) as targets.

Main Methods:

  • Numerical simulations of an ensemble of GARD networks with varying lognormally distributed catalytic values.
  • Analysis of the relationship between mutual catalysis propensity (p(mc)) and the diversity of composomes.
  • Evaluation of selection response in populations of compositional assemblies targeting compotypes.

Main Results:

  • Networks with high mutual catalysis propensity (p(mc)) exhibited augmented diversity of composomes, which are quasi-stationary compositions with high replication fidelity.
  • Appreciable selection response was observed for a large portion of simulated networks when focusing on compotypes as selection targets.
  • Stronger selection response correlated with higher p(mc) values, indicating a significant role for mutual catalysis.

Conclusions:

  • The GARD model effectively analyzes facets of evolving systems.
  • Excess mutual catalysis over self-catalysis appears crucial for the emergence of molecular systems exhibiting evolution-like behavior.
  • High mutual catalysis propensity is linked to enhanced diversity and selection response in simulated evolving systems.