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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...
Convergent Evolution01:54

Convergent Evolution

Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.The structures that arise from convergent evolution are called analogous structures. They are similar in function even if they are dissimilar in structure. Further, structures can be analogous while also...
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,...
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.

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Related Experiment Video

Updated: Jul 12, 2026

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

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

Published on: July 11, 2025

Identifying parsimonious pathways of accumulation and convergent evolution from binary data.

Konstantinos Giannakis1,2, Olav N L Aga1,3, Marcus T Moen1

  • 1Department of Mathematics, University of Bergen, Bergen, Norway.

Systematic Biology
|July 10, 2026
PubMed
Summary
This summary is machine-generated.

Evolutionary and accumulation dynamics, like cancer progression, are often predictable. This study introduces a method to quantify this predictability, revealing more stereotypical evolutionary pathways than random chance suggests.

Keywords:
cancer progressionconvergent evolutionevolutionary dynamicsmulti-drug resistancenetwork scienceorganelle genome evolutionpathway inference

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Last Updated: Jul 12, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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Published on: July 11, 2025

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08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Evolutionary biology
  • Genomics
  • Cancer research

Background:

  • Evolutionary and accumulation processes involve irreversible binary character changes.
  • Understanding the predictability of these dynamics is crucial across various biological scales.

Purpose of the Study:

  • To model evolutionary and accumulation dynamics using transition networks.
  • To quantify the stereotypical nature and predictability of these processes.
  • To develop efficient computational methods for analyzing evolutionary pathways.

Main Methods:

  • Modeling character evolution as transition networks.
  • Defining a "stereotypy index" to measure predictability.
  • Developing polynomial-time algorithms for analyzing observed states.
  • Applying the approach to diverse biological datasets.

Main Results:

  • Evolutionary and accumulation processes can be modeled as transition networks representing the simplest dynamics.
  • A "stereotypy index" quantifies evolutionary predictability.
  • The developed methods efficiently estimate evolutionary orderings and pathways.
  • Many biological systems exhibit significantly stereotypical evolutionary dynamics.

Conclusions:

  • Evolutionary and accumulation processes are often more predictable than previously assumed.
  • The developed framework and "stereotypy index" offer valuable tools for studying evolutionary predictability.
  • This approach has broad applications in understanding diverse biological phenomena, from genome evolution to disease progression.