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Related Experiment Video

Updated: May 22, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Multilocus estimation of selfing and its heritability.

N S McClure1, M C Whitlock

  • 1Department of Biology, Queen's University, Kingston, Ontario, Canada. nathan.mcclure@queensu.ca

Heredity
|May 24, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to estimate selfing rate (S) and its heritability (h2) in populations, accounting for intergenerational correlations. The MESH method provides improved estimates, especially with more individuals, reducing bias in selfing rate calculations.

Related Experiment Videos

Last Updated: May 22, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Area of Science:

  • Population genetics
  • Quantitative genetics
  • Evolutionary biology

Background:

  • Estimating selfing rate (S) is crucial for understanding plant mating systems.
  • Intergenerational correlation in selfing can bias conventional estimation methods.
  • Accurate heritability estimates (h2) of selfing are needed to understand its evolutionary dynamics.

Purpose of the Study:

  • To develop a novel method for estimating selfing rate (S) and its heritability (h2) in mixed mating populations.
  • To account for intergenerational correlations in selfing rate, which can bias traditional estimates.
  • To provide maximum-likelihood estimates of S and h2 using multilocus genotypes, even with scoring artifacts.

Main Methods:

  • Developed the Multilocus Estimation of Selfing rate and its Heritability (MESH) method.
  • Utilized a population structure approach incorporating intergenerational correlation.
  • Employed maximum-likelihood estimation on multilocus genotypes of individuals.
  • Validated the MESH method using simulated data under various conditions.

Main Results:

  • The MESH method yields selfing rate estimates with low bias and root mean squared error.
  • Estimates of the heritability of selfing rate (h2) show more uncertainty.
  • Increasing sample size (number of individuals) is more effective than increasing the number of loci for reducing bias and error.
  • The method successfully estimates S and h2 in the presence of scoring artifacts.

Conclusions:

  • The MESH method offers improved accuracy for estimating selfing rates and their heritability.
  • Accurate estimation requires a substantial number of both loci and individuals.
  • This approach advances the study of mating systems and the evolutionary genetics of selfing.