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Related Concept Videos

Types of Selection01:46

Types of Selection

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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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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Frequency-dependent Selection01:21

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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What is Natural Selection?01:32

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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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The Use of Chemostats in Microbial Systems Biology
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A model for background selection in non-equilibrium populations.

Gustavo V Barroso1, Aaron P Ragsdale1

  • 1Department of Integrative Biology, University of Wisconsin-Madison, USA, 53706.

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|March 3, 2025
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Summary
This summary is machine-generated.

This study introduces a new model for background selection that accurately predicts genetic diversity, even with changing population sizes. This improves our understanding of genomic diversity patterns and refines inferences in humans and other species.

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Area of Science:

  • Population Genetics
  • Genomics
  • Evolutionary Biology

Background:

  • Genetic diversity varies across genomes.
  • Background selection models linkage to constrained sites but has limitations.
  • Existing models are inaccurate and assume constant population size.

Purpose of the Study:

  • Develop accurate predictions for genetic diversity under background selection.
  • Incorporate population size changes into background selection models.
  • Improve understanding of genomic landscapes and linked selection inferences.

Main Methods:

  • Utilized the Hill-Robertson system of two-locus statistics.
  • Developed an iterative procedure for rescaling mutation, recombination, and selection.
  • Extended background selection theory to non-equilibrium demography.

Main Results:

  • Predictions are accurate across all selection coefficients.
  • Characterized temporal dynamics of linked selection under population size changes.
  • Demonstrated how other models can misinterpret diversity patterns.

Conclusions:

  • Jointly modeling demography and linked selection enhances understanding of genomic diversity.
  • This approach refines inferences of linked selection in humans and other species.
  • Accurate modeling is crucial for avoiding biases in downstream evolutionary inferences.