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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...
Modern Molecular Taxonomy01:29

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...
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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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.
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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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Updated: Jun 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum

Koichiro Tamura1, Daniel Peterson, Nicholas Peterson

  • 1Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, Japan.

Molecular Biology and Evolution
|May 7, 2011
PubMed
Summary
This summary is machine-generated.

Molecular Evolutionary Genetics Analysis version 5 (MEGA5) offers user-friendly tools for evolutionary bioinformatics. This software enhances phylogenetic tree inference and model selection, aiding biological and biomedical research.

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

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Related Experiment Videos

Last Updated: Jun 2, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

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Published on: August 14, 2018

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
10:23

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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

Area of Science:

  • Evolutionary biology
  • Bioinformatics
  • Computational biology

Background:

  • Comparative molecular sequence analysis is crucial for understanding evolutionary history and selective pressures.
  • Existing bioinformatics tools require user-friendly interfaces for broad accessibility.

Purpose of the Study:

  • To introduce Molecular Evolutionary Genetics Analysis version 5 (MEGA5), a comprehensive software package.
  • To enhance evolutionary bioinformatics analyses with new features and improved usability.

Main Methods:

  • Development of a user-friendly software interface for bioinformatics tasks.
  • Implementation of maximum likelihood (ML) analyses for phylogenetic tree inference, model selection, ancestral state reconstruction, and rate estimation.
  • Computer simulations to evaluate the performance of ML algorithms.

Main Results:

  • MEGA5 provides efficient and accurate ML tree inference, comparable to other software packages.
  • The software facilitates model selection for nucleotide and amino acid sequences.
  • Enhanced user interface designed for both novice and experienced scientists.

Conclusions:

  • MEGA5 is a powerful, free, and accessible tool for evolutionary genetics and bioinformatics research.
  • The software supports diverse platforms including Windows, Mac OS X, and Linux.
  • MEGA5 advances the application of evolutionary bioinformatics in biology and biomedicine.