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BATEMANATER: a computer program to estimate and bootstrap mating system variables based on Bateman's principles.

Adam G Jones1

  • 1Department of Biology, Texas A&M University, College Station, TX, 77845, USA.

Molecular Ecology Resources
|February 26, 2015
PubMed
Summary
This summary is machine-generated.

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This study introduces BATEMANATER, a software tool to quantify genetic mating systems using Bateman

Area of Science:

  • Evolutionary Biology
  • Behavioral Ecology
  • Quantitative Genetics

Background:

  • Bateman's principles are crucial for understanding genetic mating systems.
  • Key metrics include opportunity for sexual selection (I(s)), opportunity for selection (I), and Bateman gradient (β(ss)).
  • Estimating these variables in natural populations presents significant challenges.

Purpose of the Study:

  • To address challenges in estimating mating system variables.
  • To introduce a novel software package, BATEMANATER, for accurate quantification.
  • To provide a user-friendly tool for researchers in behavioral ecology and evolutionary biology.

Main Methods:

  • Development of BATEMANATER, a Windows-based computer software.
  • Utilizes bootstrapping for calculating confidence intervals of mating system variables.
Keywords:
Bateman gradientmating systemmicrosatellitesopportunity for sexual selectionparentagesexual selection

Related Experiment Videos

  • Employs a maximum-likelihood approach for estimating variables from incompletely sampled populations.

    • Main Results:

    • BATEMANATER overcomes difficulties in calculating confidence intervals.
    • The software corrects for bias in estimates from incomplete population samples.
    • It is particularly useful for systems with grouped offspring (e.g., half- or full-siblings).

    Conclusions:

    • BATEMANATER offers a convenient and accurate method for characterizing genetic mating systems.
    • The software enhances the application of Bateman's principles in population studies.
    • It provides a valuable tool for comparative analyses of mating systems.