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Related Experiment Video

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Dynamic landscapes: a model of context and contingency in evolution.

David V Foster¹, Mary M Rorick, Tanja Gesell

¹Pluribus Systems, Durham, NC, USA.

Journal of Theoretical Biology

|June 26, 2013

Summary

This study presents a novel model of evolution integrating genotype space and ecological interactions. The model successfully explains macroevolutionary patterns like extinction sizes and genotype exploration, applicable to protein and RNA evolution.

Keywords:

Ecological interaction Fitness landscape Macroevolution Neutral networks Percolation

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Area of Science:

Evolutionary biology
Theoretical biology
Computational biology

Background:

The drivers of macroevolutionary phenomena remain debated, with ongoing discussion on the roles of genotype space fitness landscapes versus ecological interactions.
Existing models often focus on either fitness landscapes or ecological dynamics, limiting comprehensive understanding.

Purpose of the Study:

To propose a unified, simple model that integrates key features of both fitness-landscape and ecological models of evolution.
To investigate evolutionary dynamics in a high-dimensional, structured genotype space incorporating interspecies interactions.

Main Methods:

Development of a simplified model capturing essential aspects of fitness landscapes and ecological interactions.
Simulation of evolutionary dynamics within a high-dimensional, structured genotype space with interspecies competition.
Analysis of model outputs for qualitative similarities with empirical macroevolutionary data.

Main Results:

The proposed model demonstrates qualitative agreement with empirical macroevolutionary observations.
Model results show broadly distributed extinction sizes, consistent with real-world data.
The model accurately reproduces realistic exploration patterns within the genotype space.

Conclusions:

The integrated model provides a valuable framework for understanding macroevolutionary processes.
The model's abstract nature allows for broad applicability, extending to protein and RNA evolution.
This work bridges the gap between genotype-centric and ecology-centric views of evolution.