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Related Concept Videos

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...
Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
Speciation Rates01:07

Speciation Rates

Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.
Evolution of Microbial Genome01:08

Evolution of Microbial Genome

Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
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...

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Related Experiment Video

Updated: Jun 19, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

High mitogenomic evolutionary rates and time dependency.

Sankar Subramanian1, Dee R Denver, Craig D Millar

  • 1Griffith School of Environment, Griffith University, 170 Kessels Road, Nathan, Qld 4111, Australia.

Trends in Genetics : TIG
|October 20, 2009
PubMed
Summary
This summary is machine-generated.

Adélie penguin mitochondrial genome evolution rates are two to six times higher than previously thought. Neutral evolutionary rates at synonymous sites remain constant over time, aiding studies of recent evolutionary events.

More Related Videos

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

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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
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Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

Related Experiment Videos

Last Updated: Jun 19, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
07:24

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

Area of Science:

  • Evolutionary Biology
  • Genomics
  • Paleontology

Background:

  • Mitochondrial genomes provide insights into evolutionary history.
  • Previous estimates of evolutionary rates may be inaccurate.

Purpose of the Study:

  • To accurately determine mitochondrial genome evolutionary rates in Adélie penguins.
  • To investigate the impact of time on evolutionary rates at different genomic sites.

Main Methods:

  • Analysis of modern and ancient Adélie penguin mitochondrial genomes (up to 44,000 years old).
  • Comparison of evolutionary rates derived from phylogenetic comparisons versus direct genomic analysis.

Main Results:

  • Mitochondrial genome evolutionary rates are 2-6 times greater than previously estimated.
  • Evolutionary rates at constrained sites (non-synonymous, RNA) vary with time.
  • Evolutionary rates at synonymous sites are time-independent.

Conclusions:

  • Direct analysis of ancient genomes provides a more accurate measure of evolutionary rates.
  • Time-independent neutral evolutionary rates are valuable for studying recent evolutionary history.