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NCHB: A method for constructing rooted phylogenetic networks from rooted triplets based on height function and

Hadi Poormohammadi1, Mohsen Sardari Zarchi2, Hossein Ghaneai2

  • 1Department of Computer Engineering, Meybod University, Meybod, Iran; School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.

Journal of Theoretical Biology
|January 9, 2020
PubMed
Summary

A new heuristic method, NCHB, efficiently constructs optimal rooted phylogenetic networks from rooted triplets. NCHB minimizes reticulation nodes and network level, outperforming existing algorithms in evolutionary history modeling.

Keywords:
BioinformaticsConsistencyDensityHeight functionLiving speciesNP-hardReticulation nodeRooted phylogenetic networkRooted triplet

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Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Phylogenetics models evolutionary history, with rooted phylogenetic networks handling non-tree-like events.
  • Rooted triplets are crucial inputs for constructing these networks.
  • Optimal rooted phylogenetic network construction from triplets is an NP-hard problem.

Purpose of the Study:

  • Introduce NCHB, a novel heuristic method for efficient and optimal rooted phylogenetic network construction.
  • Address the NP-hard challenge of building networks that encompass all given rooted triplets.
  • Evaluate NCHB's performance against state-of-the-art algorithms.

Main Methods:

  • Developed the NCHB heuristic method, incorporating height function and network binarization.
  • Compared NCHB with LEV1ATHAN, SIMPLISTIC, and TripNet using biologically generated and software-generated triplet sets.
  • Assessed performance based on minimizing reticulation nodes and network level.

Main Results:

  • NCHB demonstrated superior performance over TripNet and SIMPLISTIC in constructing optimal networks.
  • NCHB and LEV1ATHAN showed comparable results for level-1 networks.
  • NCHB outputs closely matched optimal generated networks, outperforming other methods for higher-level networks.

Conclusions:

  • NCHB offers an efficient and effective solution for constructing optimal rooted phylogenetic networks.
  • The method innovatively utilizes height functions and binarization for improved network construction.
  • NCHB advances the field of phylogenetics by providing a robust tool for modeling complex evolutionary histories.