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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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).
Randomized Experiments01:13

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Related Experiment Video

Updated: May 11, 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

Randomness and multilevel interactions in biology.

Marcello Buiatti1, Giuseppe Longo

  • 1Department of Evolutionary, Biology Florence University, Florence, Italy. mbuiattister@gmail.com

Theory in Biosciences = Theorie in Den Biowissenschaften
|May 3, 2013
PubMed
Summary
This summary is machine-generated.

Living systems exhibit dynamic instability and randomness, crucial for their evolving organization. Understanding the interplay of classical and quantum randomness reveals life

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Last Updated: May 11, 2026

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Area of Science:

  • Complexity science
  • Theoretical biology
  • Biophysics

Background:

  • Life's organization evolves through dynamic instability and the superposition of diverse random processes.
  • Classical and quantum physics offer distinct definitions of randomness, necessitating a unified understanding in biological contexts.

Observation:

  • Biological systems integrate multiple levels of organization, leading to inherent unpredictability and heterogeneous determination.
  • Randomness is not merely a source of unpredictability but also a fundamental contributor to the structural stability of life.

Findings:

  • Increasing organizational complexity in life paradoxically generates greater disorder through enhanced variability and differentiation.
  • Cooperation within biological networks is constrained by unique phenomena: bio-entanglement and bio-resonance.

Implications:

  • An enriched perspective on randomness is vital for comprehending life's dynamic and evolving nature.
  • The concepts of bio-entanglement and bio-resonance offer new frameworks for understanding biological network interactions and constraints.