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Phylogeny

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...

Phylogenetic Trees

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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.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...

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The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both extant and...

Evolutionary Relationships through Genome Comparisons

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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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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.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...

Microbial Phylogeny

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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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A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 6, 2014

Phylogenetic super-networks from partial trees.

D H Huson, T Dezulian, T Klopper

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|October 21, 2006

Summary

This summary is machine-generated.

This study introduces the Z-closure method to construct phylogenetic super-networks from incomplete data. This approach efficiently infers evolutionary relationships when faced with partial trees and splits.

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Area of Science:

Computational Biology
Phylogenetics
Bioinformatics

Background:

Phylogenetic analysis often encounters incomplete data, including partial trees and splits.
Inferring a comprehensive evolutionary history from fragmented data presents a significant challenge.

Purpose of the Study:

To develop an efficient algorithm for inferring phylogenetic super-networks from incomplete phylogenetic data.
To address the challenges of edge length assignment and dimensionality restriction in network construction.

Main Methods:

The Z-closure method is proposed as an efficient algorithm for phylogenetic super-network inference.
The study explores techniques for assigning lengths to network edges and controlling network dimensionality.

Main Results:

The Z-closure method successfully infers phylogenetic super-networks from partial phylogenetic data.
Applications to fungal and grass gene trees demonstrate the method's practical utility.
Experimental studies confirm the potential and effectiveness of the Z-closure approach.

Conclusions:

The Z-closure method provides an efficient solution for inferring phylogenetic super-networks from incomplete data.
The developed method is a valuable tool for evolutionary biology and bioinformatics research.
The implementation as a SplitsTree4 plug-in enhances its accessibility and application.