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A Practical Guide to Phylogenetics for Nonexperts
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A distance-based model for convergent evolution.

Barbara Holland1, Katharina T Huber2, Vincent Moulton3

  • 1School of Natural Sciences, University of Tasmania, ARC Centre of Excellence for Plant Success, Hobart, Tasmania, Australia.

Journal of Mathematical Biology
|January 18, 2024
PubMed
Summary
This summary is machine-generated.

Convergent evolution models can recover ancestral species and tree height, even when distances are not ultrametric. This study introduces a novel distance-based model for convergent evolution.

Keywords:
Convergent evolutionEquidistant treeTree metricTriplet respecting metricUltrametric

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Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Computational biology

Background:

  • Convergent evolution describes independent species developing similar traits, often due to adapting to similar environments.
  • Understanding the evolutionary history and relationships between species is crucial in biology.

Purpose of the Study:

  • To introduce and analyze a new distance-based model for convergent evolution.
  • To characterize the properties of the resulting distance metric.
  • To determine conditions for recovering the ancestral phylogenetic tree and its height.

Main Methods:

  • Development of a distance-based model incorporating a convergent evolution phase.
  • Mathematical analysis of the modified distance metric properties.
  • Investigation of conditions for tree and height recovery.

Main Results:

  • The model generates a distance metric that modifies ultrametric distances from equidistant phylogenetic trees.
  • Characterization of when this modified distance functions as a tree metric.
  • Identification of parameter-dependent conditions for recovering the underlying evolutionary tree and its height, even if the distance is not a tree metric.

Conclusions:

  • The proposed model offers a framework for studying convergent evolution using distance-based approaches.
  • It is possible to infer evolutionary history and divergence times even with complex evolutionary scenarios like convergence.
  • The study provides insights into the robustness of phylogenetic reconstruction methods under convergent evolution.