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Updated: May 31, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Adaptive evolutionary trajectories in complexity: Transitions between unicellularity and facultative differentiated
Hanna Isaksson1,2, Peter Lind2,3,4, Eric Libby1,2,4
1Department of Mathematics and Mathematical Statistics, Umeå University, Umeå 90187, Sweden.
Evolutionary pressures can drive unicellular organisms towards multicellularity or cell differentiation. However, continued stress may lead to increased complexity or a return to unicellularity, depending on mutation order and fitness trade-offs.
Area of Science:
- Evolutionary biology
- Theoretical biology
- Origin of life
Background:
- Multicellularity ranges from simple cell clusters to complex organisms.
- Simple multicellularity evolves readily under selective pressures.
- The evolution of increased multicellular complexity is not well understood.
Purpose of the Study:
- To investigate adaptive trajectories of unicellular organisms under periodic abiotic stress.
- To determine conditions favoring multicellularity, cell differentiation, or both.
- To explore how mutations affect the evolution of complexity.
Main Methods:
- Mathematical modeling of unicellular populations under periodic stress.
- Defining a parameter space of fitness-relevant traits.
- Simulating the effects of beneficial mutations on adaptive trajectories.
Main Results:
- Multicellularity and differentiation offer survival benefits against stress but incur costs in its absence.
- The fitness landscape determines the optimal strategy (unicellularity, multicellularity, or differentiation).
- Mutation order (historical contingency) can influence the permanence of complexity transitions.
Conclusions:
- Continued selective pressure for multicellularity can result in either increased complexity or a reversion to unicellularity.
- Adaptive trajectories can involve cycles of gaining and losing complexity.
- The evolution of complexity is sensitive to mutation order and fitness trade-offs.
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