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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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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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Natural Selection and Mating Preferences01:06

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The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
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Limits to Natural Selection01:38

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Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
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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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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
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Quantifying Selection Pressure.

Evert Haasdijk1, Jacqueline Heinerman2

  • 1Department of Computer Science, VU University Amsterdam, The Netherlands e.haasdijk@vu.nl.

Evolutionary Computation
|March 22, 2017
PubMed
Summary
This summary is machine-generated.

Researchers developed two novel metrics to quantify selection pressure in evolutionary systems. These methods offer a more holistic statistical analysis, improving upon traditional techniques for understanding evolutionary development.

Keywords:
Selection pressureevolutionary algorithms.probability of selection

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Area of Science:

  • Evolutionary Computing
  • Computational Biology
  • Statistical Analysis

Background:

  • Selection is a fundamental evolutionary force, crucial for understanding population development.
  • Traditional methods like takeover time and Markov chain analysis for selection pressure are limited, especially in complex systems.
  • Existing methods fail when selection depends on factors beyond simple fitness comparison, such as in coevolutionary systems or those lacking clear objectives.

Purpose of the Study:

  • To propose two new metrics for quantifying selection pressure in evolutionary systems.
  • To provide tools applicable to scenarios where traditional methods are insufficient.
  • To enhance the understanding of selection pressure in diverse evolutionary computing contexts.

Main Methods:

  • Developed two novel metrics based on holistic statistical analysis of the evolutionary process.
  • Metrics analyze the relationship between reproductive success and quantifiable traits.
  • One metric estimates the probability of a random relationship; the other uses a correlation measure.

Main Results:

  • The proposed metrics offer a more comprehensive analysis of selection pressure.
  • They are effective in systems where traditional methods fall short, including coevolutionary and non-fitness-based selection scenarios.
  • Case studies and critical analysis confirm the metrics' relevance and reliability.

Conclusions:

  • The new metrics provide convenient and reliable tools for analyzing selection pressure.
  • They can be integrated into post-hoc analyses or used during the evolutionary process for parameter control.
  • These metrics facilitate a deeper understanding of selection pressure, a critical component of evolutionary systems.