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Gene Evolution - Fast or Slow?02:05

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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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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Related Experiment Video

Updated: Mar 20, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Randomness in Sequence Evolution Increases over Time.

Guangyu Wang1,2,3, Shixiang Sun1,2,3, Zhang Zhang1,2

  • 1CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, Beijing 100101, China.

Plos One
|May 26, 2016
PubMed
Summary
This summary is machine-generated.

Sequence randomness, a measure of biological complexity, increases over evolutionary time, aligning with the second law of thermodynamics. This finding offers new insights into molecular evolution mechanisms.

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Area of Science:

  • Evolutionary Biology
  • Thermodynamics
  • Bioinformatics

Background:

  • The second law of thermodynamics posits that system entropy, or randomness, increases over time.
  • While biological sequence randomness has been studied, its evolutionary dynamics and thermodynamic consistency remain unclear.

Purpose of the Study:

  • To investigate whether biological sequence randomness changes over evolutionary time.
  • To determine if these changes align with the second law of thermodynamics.
  • To explore the relationship between sequence randomness and gene characteristics.

Main Methods:

  • Utilized eight statistical tests to quantify sequence randomness.
  • Analyzed coding sequences from Escherichia coli to assess randomness variation.
  • Compared randomness between core/essential and specific/non-essential genes.

Main Results:

  • Core/essential genes exhibit higher randomness than specific/non-essential genes.
  • Sequence randomness demonstrably increases over evolutionary time.
  • Increased sequence randomness correlates with greater GC content randomness and longer sequences.

Conclusions:

  • Biological sequence randomness increases over time, consistent with the second law of thermodynamics.
  • This evolutionary trend provides novel insights into molecular sequence evolution.
  • The findings may help elucidate the fundamental mechanisms driving molecular evolution.