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Related Concept Videos

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,...
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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...
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.
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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.

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Updated: May 31, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Conceptual framework and pilot study to benchmark phylogenomic databases based on reference gene trees.

Brigitte Boeckmann1, Marc Robinson-Rechavi, Ioannis Xenarios

  • 1Swiss Institute of Bioinformatics, Centre Médical Universitaire, 1211 Geneva 4, Switzerland. brigitte.boeckmann@isb-sib.ch

Briefings in Bioinformatics
|July 9, 2011
PubMed
Summary
This summary is machine-generated.

Comparing seven phylogenomic databases revealed significant differences in orthology predictions. Most databases lack comprehensive and correct protein classifications, highlighting the need for standardized quality assessments.

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Last Updated: May 31, 2026

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Area of Science:

  • Bioinformatics
  • Comparative Genomics
  • Evolutionary Biology

Background:

  • Phylogenomic databases offer orthology predictions for sequenced species.
  • Significant variations exist in the content and accuracy of these databases.

Purpose of the Study:

  • To systematically compare seven prominent ortholog databases.
  • To evaluate the accuracy and completeness of orthology assignments.

Main Methods:

  • Comparison of Ensembl Compara, eggNOG, HOGENOM, InParanoid, OMA, OrthoDB, and Panther.
  • Utilized reference trees for three well-conserved protein families.
  • Assessed specificity, completeness, and phylogenetic information.

Main Results:

  • High specificity of orthology assignments was generally observed.
  • Differences stemmed primarily from database concepts, not methodologies.
  • No single database provided a fully correct and comprehensive protein classification.

Conclusions:

  • A framework for systematic phylogenomic database comparison was established.
  • Standardized 'Gold standard' trees are needed for quality assessment and improvement.
  • Future efforts should focus on enhancing database accuracy and comprehensiveness.