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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.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...
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.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...
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...
Microbial Phylogeny01:28

Microbial Phylogeny

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,...
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...
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Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Random local neighbor joining: a new method for reconstructing phylogenetic trees.

Wei Zhang1, Zhirong Sun

  • 1Institute of Bioinformatics and Systems Biology, MOE Key Laboratory of Bioinformatics, State Key Laboratory of Biomembrane and Membrane Biotechnology, Department of Biological Sciences and Biotechnology, Tsinghua University, Beijing 100084, China.

Molecular Phylogenetics and Evolution
|March 18, 2008
PubMed
Summary

A new phylogenetic tree reconstruction method, random local neighbor-joining (RLNJ), explores more solutions than the standard neighbor-joining (NJ) method. RLNJ improves the accuracy of phylogenetic analysis by providing multiple tree topologies.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Phylogenetic tree reconstruction is crucial for understanding evolutionary relationships.
  • The neighbor-joining (NJ) method is a widely used algorithm for inferring phylogenetic trees.
  • Thorough exploration of the solution space is essential for accurate tree inference.

Purpose of the Study:

  • To introduce a novel method for phylogenetic tree reconstruction, random local neighbor-joining (RLNJ).
  • To compare the performance of RLNJ with the traditional NJ method.
  • To assess the ability of RLNJ to improve the accuracy and reliability of phylogenetic analyses.

Main Methods:

  • Development of the random local neighbor-joining (RLNJ) algorithm.
  • Randomly searching for local pairs of neighbors in each step to enhance solution space sampling.
  • Analysis of yeast data and computer simulations to evaluate RLNJ performance.

Main Results:

  • RLNJ demonstrates an increased possibility of obtaining smaller S values (sum of branch lengths) compared to NJ, especially with more taxa.
  • Multiple runs of RLNJ typically yield several topologies with small S values.
  • Computer simulations indicate that RLNJ significantly enhances the recovery of correct phylogenetic topologies by generating diverse tree options.

Conclusions:

  • The RLNJ method offers a more robust approach to phylogenetic tree reconstruction than the standard NJ method.
  • The number of distinct topologies and the proportion of the most frequent topology can serve as reliable indicators for evaluating phylogenetic tree reliability.
  • RLNJ has the potential to improve the accuracy of evolutionary relationship inference.