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Published on: October 11, 2018
A unifying framework reveals key properties of multilevel selection.
1Department of Mathematics, Duke University, Durham, NC 27708, USA.
Journal of Theoretical Biology
|October 8, 2013
Summary
Antagonistic multilevel selection occurs when biological levels, like within-host and between-host viral evolution, oppose each other. A new framework using a ball-and-urn model simplifies analyzing these complex evolutionary dynamics.
Area of Science:
- Evolutionary biology
- Theoretical biology
- Population genetics
Background:
- Natural selection operates at multiple biological levels, frequently leading to opposing evolutionary pressures.
- Viral evolution exemplifies this, with selection acting within hosts (e.g., replication speed) and between hosts (e.g., transmission efficiency).
- Antagonistic multilevel selection is observed across diverse taxa and scales, from microbial cooperation to animal mating behaviors.
Purpose of the Study:
- To introduce a unifying mathematical framework for analyzing antagonistic multilevel selection.
- To provide an intuitive visualization of these complex selective dynamics.
- To identify generalizable properties of multilevel selection independent of specific biological contexts.
Main Methods:
- Development of a general formalism for multilevel selection.
- Utilizing a stochastic ball-and-urn process as an intuitive model.
- Systematic derivation of properties governing selection at different biological levels.
Main Results:
- The ball-and-urn model effectively illustrates the dynamics of antagonistic selective forces.
- Derived properties show that group-level selection is favored by frequent group events, low mutation rates, and a high number of groups relative to individuals.
- The framework's predictions align with existing theoretical and empirical findings in multilevel selection.
Conclusions:
- Multilevel selection can be understood as a general biological phenomenon with recurring characteristics.
- The proposed framework offers a powerful tool for analyzing diverse systems exhibiting antagonistic selection.
- Understanding these general properties aids in predicting evolutionary trajectories across different biological contexts.
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