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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...
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...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
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.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jun 18, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Multiple evolutionary rate classes in animal genome evolution.

Christopher Oldmeadow1, Kerrie Mengersen, John S Mattick

  • 1School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.

Molecular Biology and Evolution
|December 4, 2009
PubMed
Summary
This summary is machine-generated.

The human genome

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Last Updated: Jun 18, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Published on: August 14, 2018

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

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

Area of Science:

  • Genomics
  • Evolutionary Biology
  • Bioinformatics

Background:

  • The proportion of functional sequence in the human genome is debated, with ~5% estimated under purifying selection.
  • Previous estimates relied on comparisons with neutrally evolving sequences, potentially oversimplifying genome-wide evolutionary rates.

Purpose of the Study:

  • To develop a sensitive technique for evaluating evolutionary rate distributions in complex genomes.
  • To re-estimate the proportion of non-neutral sequence in human and Drosophila genomes.

Main Methods:

  • Developed a novel computational method to analyze evolutionary rate distributions.
  • Applied the method to alignments of Drosophila and mammalian (including human) genomes and human ancestral repeats.
  • Utilized identified rate classes to estimate proportions of non-neutral sequences.

Main Results:

  • Identified at least nine evolutionary rate classes in Drosophila and seven in mammals.
  • Found at least three rate classes in human ancestral repeats.
  • Estimated 30% of human ancestral repeats and 45% of the aligned human genome are non-neutrally evolving.

Conclusions:

  • Genome-wide evolutionary rates are more complex than previously assumed.
  • A significant portion of the human genome may be under non-neutral evolution, challenging current estimates.
  • Variable structure-function constraints, rather than neutral evolution, might explain observed rate classes.