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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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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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A Practical Guide to Phylogenetics for Nonexperts
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Improved Robustness to Gene Tree Incompleteness, Estimation Errors, and Systematic Homology Errors with Weighted

Yunheng Han1,2, Erin K Molloy1,2

  • 1Department of Computer Science, University of Maryland, College Park, MD 20742, USA.

Systematic Biology
|February 25, 2025
PubMed
Summary

Weighted TREE-QMC improves species tree reconstruction by incorporating gene tree accuracy. This method is fast, accurate, and robust to missing data, offering an alternative to existing phylogenetic tools.

Keywords:
Gene tree errorhomology errormissing dataquartetsspecies treessummary methods

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Area of Science:

  • Phylogenetics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Species tree reconstruction methods are vital for understanding evolutionary history.
  • Incomplete or erroneous gene trees can reduce the accuracy of phylogenetic analyses.
  • Existing methods like ASTRAL face computational challenges with weighted gene tree data.

Purpose of the Study:

  • To introduce weighted TREE-QMC, a novel method for species tree reconstruction.
  • To evaluate the performance of weighted TREE-QMC against existing weighted methods.
  • To assess the robustness of weighted TREE-QMC to gene tree errors and missing data.

Main Methods:

  • Leveraging the Quartet Max Cut framework with weighting schemes.
  • Implementing weighting by gene tree branch lengths and support values.
  • Comparative analysis through simulation studies and avian data set reanalysis.

Main Results:

  • Weighted TREE-QMC demonstrates high accuracy and computational efficiency.
  • The method is competitive with, and sometimes outperforms, weighted ASTRAL.
  • Weighting improves robustness to homology errors and missing taxa.

Conclusions:

  • Weighted TREE-QMC offers a robust and accurate approach to species tree reconstruction.
  • The method is effective even with challenging data, including large taxon sets and missing data.
  • Weighted TREE-QMC shows promise as a reliable supertree method.