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Related Experiment Video

Updated: Sep 5, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Eco-evolutionary model on spatial graphs reveals how habitat structure affects phenotypic differentiation.

Victor Boussange^1,2, Loïc Pellissier^3,4

¹Swiss Federal Research Institute WSL, CH-8903, Birmensdorf, Switzerland. vic.boussange@gmail.com.

Communications Biology

|July 6, 2022

Summary

Landscape features like habitat connectivity and heterogeneity significantly influence how populations differentiate. Low or varied connectivity can promote neutral differentiation, while habitat assortativity drives adaptive differentiation, impacting evolutionary trajectories.

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Area of Science:

Eco-evolutionary dynamics
Spatial ecology
Population genetics

Background:

Phenotypic differentiation is shaped by landscape properties influencing individual interactions, dispersal, and evolution.
Understanding the interplay between spatial structure and eco-evolutionary processes is crucial for predicting population divergence.

Purpose of the Study:

To investigate how habitat connectivity and heterogeneity affect phenotypic differentiation using a spatial eco-evolutionary model.
To analyze the impact of graph topology and habitat distribution on differentiation dynamics.

Main Methods:

Formulation of a stochastic eco-evolutionary model with individuals structured over a spatial graph.
Combination of analytical insights into eco-evolutionary dynamics with numerical simulations.
Analysis of graph topology, habitat type distribution, and habitat assortativity.

Main Results:

Low and heterogeneous habitat connectivity promote neutral differentiation due to increased competition in highly connected areas.
Habitat assortativity drives differentiation under habitat-dependent selection, amplifying adaptive differentiation.
Assortative graphs can either foster or suppress neutral differentiation depending on the migration regime.

Conclusions:

Landscape features, including connectivity patterns and habitat spatial autocorrelation, fundamentally link to phenotypic differentiation.
The study formalizes eco-evolutionary and spatial dynamics, establishing key relationships between landscape structure and population divergence.