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Related Concept Videos

Epistasis01:39

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Evolutionary dynamics, epistatic interactions, and biological information.

Christopher C Strelioff1, Richard E Lenski, Charles Ofria

  • 1Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA. streliof@msu.edu

Journal of Theoretical Biology
|July 28, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new measure of biological information, connecting population genetics and information theory. It quantifies genetic interactions (epistasis) in evolving populations, revealing insights into complex fitness landscapes.

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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Information theory

Background:

  • Previous models of biological information often assumed independent genetic loci.
  • This simplification overlooked crucial interactions between mutations (epistasis).

Purpose of the Study:

  • To develop an information-theoretic measure that incorporates epistasis.
  • To connect population genetics with information theory for analyzing genotype distributions.
  • To explore biological information in complex fitness landscapes.

Main Methods:

  • Expanding mathematical frameworks for information-theoretic quantities.
  • Applying the refined measure to two-locus, two-allele fitness landscapes.
  • Analyzing four-locus, two-allele fitness landscapes with modular structures.

Main Results:

  • The improved measure accurately reflects epistatic interactions between mutations.
  • Mutual information between loci correlates with epistatic interactions.
  • The approach provides insights into the structure of modular fitness landscapes.

Conclusions:

  • The refined measure offers a more comprehensive understanding of biological information.
  • This work bridges population genetics and information theory to study evolutionary processes.
  • The method is valuable for analyzing complex, non-trivial fitness landscapes.