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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.
Synteny and Evolution02:31

Synteny and Evolution

John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...
Eukaryotic Evolution01:24

Eukaryotic Evolution

The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
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...
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.

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Related Experiment Video

Updated: May 7, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

The common ancestor process revisited.

Sandra Kluth1, Thiemo Hustedt, Ellen Baake

  • 1Technische Fakultät, Universität Bielefeld, Box 100131, 33501, Bielefeld, Germany, skluth@techfak.uni-bielefeld.de.

Bulletin of Mathematical Biology
|September 19, 2013
PubMed
Summary
This summary is machine-generated.

This study analyzes the Moran model with mutation and selection, focusing on its stationary type distribution. Researchers characterized this distribution using fixation probability, offering new insights into population genetics models.

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Last Updated: May 7, 2026

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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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Area of Science:

  • Population genetics
  • Mathematical biology
  • Evolutionary dynamics

Background:

  • The Moran model is a fundamental framework for studying genetic drift and selection in finite populations.
  • Previous work has explored the Moran model's ancestral lines and stationary distributions.

Purpose of the Study:

  • To characterize the stationary type distribution of the Moran model with continuous time, mutation, and selection.
  • To extend existing results by focusing on the ancestral line and fixation probability.
  • To provide new insights into the particle picture of evolutionary processes.

Main Methods:

  • Analysis of the Moran model in continuous time.
  • Focus on the ancestral line and its stationary type distribution.
  • Characterization via fixation probability of favorable type offspring.
  • Adaptation to a discrete setting for a finite population.

Main Results:

  • The stationary type distribution is characterized using fixation probability.
  • Previous findings are extended within a discrete setting.
  • New perspectives on the particle picture of the Moran model are offered.

Conclusions:

  • The fixation probability approach provides a robust method for characterizing stationary distributions in the Moran model.
  • The study offers a refined understanding of evolutionary dynamics in finite populations.
  • This work contributes to the theoretical foundations of population genetics.