Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Band Theory02:35

Band Theory

17.3K
When two or more atoms come together to form a molecule, their atomic orbitals combine and molecular orbitals of distinct energies result. In a solid, there are a large number of atoms, and therefore a large number of atomic orbitals that may be combined into molecular orbitals. These groups of molecular orbitals are so closely placed together to form continuous regions of energies, known as the bands.
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...
17.3K
Scientific Laws and Theories02:31

Scientific Laws and Theories

89.6K
Scientific Laws
89.6K
Mate Choice01:20

Mate Choice

11.8K
Mate choice—the decision about whom to mate with—is a type of natural selection, since animals must reproduce to pass down their genes. Mate choice is also called intersexual selection because the behavior occurs between the sexes.
11.8K
Attribution Theory00:56

Attribution Theory

13.8K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.8K
The Atomic Theory of Matter02:59

The Atomic Theory of Matter

130.7K
The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...
130.7K
Social Exchange Theory02:06

Social Exchange Theory

40.8K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
40.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unifying quantification methods for sexual selection and assortative mating using information theory.

Theoretical population biology·2024
Same author

A Simulation Study of the Ecological Speciation Conditions in the Galician Marine Snail <i>Littorina saxatilis</i>.

Frontiers in genetics·2022
Same author

Multi-model inference of non-random mating from an information theoretic approach.

Theoretical population biology·2019
Same author

A generalization of the informational view of non-random mating: Models with variable population frequencies.

Theoretical population biology·2018
Same author

MateSim: Monte Carlo simulation for the generation of mating tables.

Bio Systems·2018
Same author

Detecting the Genomic Signature of Divergent Selection in Presence of Gene Flow.

Current genomics·2015
Same journal

Applying invasion criterion to cultural evolution.

Theoretical population biology·2026
Same journal

The joint spectrum over trees under the Kingman coalescent with varying population.

Theoretical population biology·2026
Same journal

Statistical test to compare the linkage model and the admixture model based on central limit results.

Theoretical population biology·2026
Same journal

Threshold dynamics in age-structured distributions with expanding support: A unified mathematical framework.

Theoretical population biology·2026
Same journal

Mechanistic-statistical model for the expansion of ash dieback.

Theoretical population biology·2026
Same journal

Dynamics of an intraguild predation system with optimal foraging and harvesting.

Theoretical population biology·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae
05:39

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae

Published on: December 2, 2022

3.2K

Non-random mating and information theory.

A Carvajal-Rodríguez1

  • 1Departamento de Bioquímica, Genética e Inmunología. Universidad de Vigo, 36310 Vigo, Spain.

Theoretical Population Biology
|February 3, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces mutual mating propensity to model mate choice, revealing how information gain from non-random mating influences mating phenotypes and sexual selection dynamics. It uncovers key invariants in mate choice models.

Keywords:
Kullback–Leibler divergenceMate choicePopulation geneticsPrice equationSexual isolationSexual selection

More Related Videos

Observation and Quantification of Mating Behavior in the Pinewood Nematode, Bursaphelenchus xylophilus
09:55

Observation and Quantification of Mating Behavior in the Pinewood Nematode, Bursaphelenchus xylophilus

Published on: December 25, 2016

9.9K
Mating-based Overexpression Library Screening in Yeast
11:39

Mating-based Overexpression Library Screening in Yeast

Published on: July 6, 2018

8.2K

Related Experiment Videos

Last Updated: Feb 15, 2026

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae
05:39

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae

Published on: December 2, 2022

3.2K
Observation and Quantification of Mating Behavior in the Pinewood Nematode, Bursaphelenchus xylophilus
09:55

Observation and Quantification of Mating Behavior in the Pinewood Nematode, Bursaphelenchus xylophilus

Published on: December 25, 2016

9.9K
Mating-based Overexpression Library Screening in Yeast
11:39

Mating-based Overexpression Library Screening in Yeast

Published on: July 6, 2018

8.2K

Area of Science:

  • Evolutionary Biology
  • Behavioral Ecology
  • Mathematical Modeling

Background:

  • Mate choice significantly influences evolutionary trajectories.
  • Existing models often lack a unified framework to dissect the components of mate choice.
  • Understanding the interplay between different mating preferences is crucial for predicting population dynamics.

Purpose of the Study:

  • To develop a general framework for modeling mate choice using the concept of mutual mating propensity.
  • To mathematically partition the effects of mate choice into sexual isolation, sexual selection, and mixed effects.
  • To identify conditions under which specific mate choice components dominate, offering new insights into evolutionary processes.

Main Methods:

  • The study employs a novel abstract concept of mutual mating propensity to model mate choice.
  • It adapts the Price equation to describe the mapping between random and non-random mating populations.
  • The framework allows for the mathematical dissection of mate choice effects without specific mating scheme assumptions.

Main Results:

  • Mate choice is framed as information gain relative to random mating.
  • A clear mathematical partition of mate choice effects (sexual isolation, sexual selection) is established.
  • Multiplicative mutual preferences eliminate sexual isolation, while non-multiplicative preferences introduce detectable inter-sexual selection effects.

Conclusions:

  • The mutual mating propensity framework provides a general approach to mate choice modeling.
  • It enables predictions about the emergence of different mate choice effects from various models.
  • This work lays the foundation for a general theory of model fitting and inference in mate choice studies.