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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
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Phylogenetic Trees03:21

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.

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Updated: May 7, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Gene tree rooting methods give distributions that mimic the coalescent process.

Yuan Tian1, Laura S Kubatko

  • 1Departments of Statistics and Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, United States.

Molecular Phylogenetics and Evolution
|September 24, 2013
PubMed
Summary

Gene tree rooting methods can explain data variation previously attributed to the coalescent model in phylogenetic inference. This study shows simulated gene tree distributions align with coalescent predictions under specific rooting strategies.

Keywords:
Coalescent modelGene tree distributionMolecular clock rootingOutgroup rooting

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Area of Science:

  • Phylogenetics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Multi-locus phylogenetic inference commonly uses coalescent models to account for incomplete lineage sorting.
  • Incomplete lineage sorting can cause gene trees to incongruent with the species tree.
  • The "goodness-of-fit" of empirical data to coalescent models is an area of ongoing research.

Purpose of the Study:

  • To investigate whether gene tree rooting methods can explain data variation attributed to the coalescent process.
  • To assess the impact of different rooting strategies (molecular clock vs. outgroup rooting) on gene tree distributions.
  • To evaluate the performance of coalescent-based species tree inference methods under these conditions.

Main Methods:

  • Utilized simulated multi-locus sequence data for a four-taxon phylogenetic scenario.
  • Estimated gene trees and applied both molecular clock and outgroup rooting methods.
  • Compared observed gene tree distributions with predictions from coalescent models.

Main Results:

  • For four taxa, gene tree distributions resulting from molecular clock or outgroup rooting closely matched coalescent model predictions.
  • The choice of species tree branch lengths significantly influenced the match between observed and predicted gene tree distributions.
  • Coalescent-based species tree inference methods showed varied performance when data "fit" the model due to rooting artifacts.

Conclusions:

  • Gene tree rooting can be a significant factor in observed gene tree distributions, potentially mimicking coalescent effects.
  • Careful consideration of rooting methods is crucial when evaluating the fit of data to coalescent models.
  • The performance of species tree inference methods may be compromised if gene tree incongruence is an artifact of rooting rather than true biological processes.