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Related Concept Videos

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...
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

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Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

A novel methodology for large-scale phylogeny partition.

Mattia C F Prosperi1, Massimo Ciccozzi, Iuri Fanti

  • 1Clinic of Infectious Diseases, Catholic University of the Sacred Heart, Rome, Italy. m.prosperi@epi.ufl.edu

Nature Communications
|May 26, 2011
PubMed
Summary

A new computational method identifies human immunodeficiency virus-1 (HIV-1) transmission clusters using phylogenetic analysis. This approach aids in understanding viral spread and designing targeted public health interventions.

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Area of Science:

  • Epidemiology
  • Computational Biology
  • Virology

Background:

  • Understanding virus transmission is crucial for controlling epidemics.
  • Phylogenetic analysis is a powerful tool for identifying transmission chains.
  • Analyzing large datasets requires efficient computational methods.

Purpose of the Study:

  • To propose and validate a novel methodology for partitioning large phylogenies.
  • To infer transmission clusters from complex viral genetic data.
  • To apply the method to identify HIV-1 transmission patterns in Italy.

Main Methods:

  • A depth-first search algorithm was developed for phylogenetic partitioning.
  • The method integrates node reliability, tree topology, and patristic distance.
  • Applied to a dataset of 11,541 HIV-1 subtype B pol gene sequences.

Main Results:

  • Successfully identified molecular transmission chains within the Italian HIV-1 cohort.
  • Characterized transmission patterns, including interactions between different risk groups.
  • Demonstrated the method's flexibility in defining transmission clusters.

Conclusions:

  • The developed methodology offers a robust framework for analyzing large-scale phylogenies.
  • This approach can enhance the understanding of viral transmission dynamics.
  • The method is adaptable for studying other epidemic diseases.