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Modelling competition and dispersal in a statistical phylogeographic framework.

Louis Ranjard¹, David Welch¹, Marie Paturel¹

¹Bioinformatics Institute; Department of Computer Sciences; Department of Statistics, The University of Auckland, New Zealand and LIRMM, CNRS, Montpellier, France;

Systematic Biology

|June 16, 2014

Summary

Competition shapes species colonization of new habitats, potentially blocking newcomers. Our new Bayesian phylogeographic model effectively detects competition from genetic data, outperforming older methods.

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Area of Science:

Ecology
Evolutionary Biology
Genetics

Background:

Species colonization of new habitats is influenced by interspecific competition, which can prevent secondary colonization.
Competition plays a key role in structuring ecological communities, such as mammalian communities, and explaining spatial genetic patterns.

Purpose of the Study:

To develop a novel model integrating competition and dispersal within a Bayesian phylogeographic framework.
To assess the model's ability to detect competition from spatial genetic variation.

Main Methods:

Developed a new Bayesian phylogeographic model incorporating competition and dispersal.
Conducted extensive simulations to test the model's performance.
Analyzed real-world data to validate the model's effectiveness.

Main Results:

The new model significantly outperforms the traditional Mantel test in detecting correlations between genetic and geographic distances.
The model demonstrates high sensitivity and specificity in detecting competition from phylogenetic analysis of spatial genetic variation.

Conclusions:

The developed Bayesian phylogeographic framework provides a powerful new tool for studying the impact of competition on species distribution and community assembly.
This approach overcomes previous limitations in quantitatively assessing competition's role in ecological and evolutionary processes.