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Related Concept Videos

Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
Phylogeny01:23

Phylogeny

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.
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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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A Practical Guide to Phylogenetics for Nonexperts
12:00

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Published on: February 5, 2014

Quartet-net: a quartet-based method to reconstruct phylogenetic networks.

Jialiang Yang1, Stefan Grünewald, Xiu-Feng Wan

  • 1Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, USA.

Molecular Biology and Evolution
|March 16, 2013
PubMed
Summary
This summary is machine-generated.

A new quartet-based method accurately reconstructs complex phylogenetic networks, improving upon existing methods for evolutionary event analysis. This approach offers a balance between computational efficiency and accuracy in phylogenetic network construction.

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Area of Science:

  • Evolutionary biology
  • Bioinformatics
  • Computational phylogenetics

Background:

  • Phylogenetic networks model complex evolutionary events like hybridization and horizontal gene transfer.
  • Current methods for phylogenetic network reconstruction face limitations in computational efficiency (character-based) or accuracy (distance-based).

Purpose of the Study:

  • To introduce a novel quartet-based method for constructing phylogenetic networks.
  • To balance accuracy and computational efficiency in phylogenetic network inference.

Main Methods:

  • Developed a quartet-based method utilizing multiple sequence alignments.
  • Applied the method to simulated and biological datasets.

Main Results:

  • The quartet-based method demonstrates robustness and effectiveness in reconstructing reticulate evolutionary events.
  • The novel method shows potential for inferring more accurate phylogenetic distances compared to Neighbor-Joining, Neighbor-Net, and Split Decomposition.
  • The method is applicable to evolutionary histories ranging from simple to complex reticulate events.

Conclusions:

  • The quartet-based approach provides an accurate and efficient tool for phylogenetic network construction.
  • The developed software, Quartet-Net, is available for broader application in evolutionary studies.