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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...
Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
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...
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...
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,...
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.

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Related Experiment Video

Updated: May 14, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Multiple consensus trees: a method to separate divergent genes.

Alain Guénoche1

  • 1Institut de Mathématiques de Luminy, 163 Av, de Luminy, 13009 Marseille, France. guenoche@iml.univ-mrs.fr

BMC Bioinformatics
|February 12, 2013
PubMed
Summary
This summary is machine-generated.

Reconstructing species trees from gene sequences is challenging due to varying gene evolution. This study introduces a new method to determine if a single or multiple consensus trees best represent phylogenetic data, aiding in accurate species tree inference.

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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

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Last Updated: May 14, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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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

Area of Science:

  • Phylogenetics
  • Bioinformatics
  • Computational Biology

Background:

  • Species tree inference from single gene sequences is unreliable due to gene tree variability (e.g., horizontal gene transfer, paralogy).
  • Reconciling diverse gene trees to reconstruct an accurate species tree is a significant challenge in evolutionary biology.
  • When taxa are identical across trees, the problem simplifies to finding a consensus tree.

Purpose of the Study:

  • To develop a novel method for determining whether a unique or multiple consensus trees accurately represent a given set of phylogenetic trees.
  • To assess the homogeneity of a set of gene trees and identify divergent evolutionary patterns.

Main Methods:

  • A new method is defined to decide between a unique consensus tree and multiple consensus trees for a set of phylogenetic trees.
  • The generalized score is optimized over tree partitions to evaluate the homogeneity of gene trees.
  • The method distinguishes between congruent gene trees (single consensus) and divergent patterns (multiple consensus trees).

Main Results:

  • The developed method effectively determines if a set of gene trees is homogeneous or not.
  • It can identify whether a single consensus tree or multiple consensus trees are most appropriate for representing the data.
  • Validation was performed using simulated and real biological data, including cases with horizontal gene transfers.

Conclusions:

  • The proposed method provides a robust approach for species tree reconstruction by accounting for gene tree heterogeneity.
  • A freely available C program, MCT (Multiple Consensus Trees), implements this method for the research community.
  • The software handles trees in Newick format and computes generalized scores for tree partitions, aiding in the analysis of phylogenetic relationships.