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Related Concept Videos

Types of Selection01:46

Types of Selection

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...
Frequency-dependent Selection01:21

Frequency-dependent Selection

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.Positive Frequency-Dependent SelectionIn positive...

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Measurement of concurrent selection episodes.

Troy R Hamon1

  • 1School of Aquatic and Fisheries Sciences, University of Washington, Box 355020, Seattle, Washington 98195-5020, USA. troy_hamon@nps.gov

Evolution; International Journal of Organic Evolution
|September 3, 2005
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to measure natural and sexual selection using longitudinal data when mortality and reproduction overlap. The approach allows for concurrent selection analysis and improved fitness estimation, even with missing data.

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Area of Science:

  • Evolutionary biology
  • Quantitative genetics
  • Ecological dynamics

Background:

  • Traditional selection analysis assumes sequential selection events.
  • Empirical evidence shows concurrent natural and sexual selection, often in opposing directions.
  • Overlapping mortality and reproduction complicate fitness assignment in longitudinal studies.

Purpose of the Study:

  • To develop a method for analyzing concurrent selection pressures.
  • To estimate individual fitness using longitudinal data with overlapping life-history events.
  • To partition total fitness into components of reproductive opportunity and success.

Main Methods:

  • Formalization of a method to estimate total individual fitness over time.
  • Partitioning of total fitness into separate estimates for reproductive opportunity and success.
  • Utilizing longitudinal data, accommodating missing reproductive success data.

Main Results:

  • A novel procedure for calculating total fitness with concurrent mortality and reproduction.
  • Enables separate estimation of fitness components (opportunity and success).
  • Simulations show generally low bias in the derived fitness estimates.

Conclusions:

  • The developed methods enhance the analysis of concurrent selection episodes.
  • Provides a robust framework for fitness estimation with complex life-history data.
  • Expands understanding of the interplay between different selection pressures in populations.