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Related Experiment Video

Updated: Jul 14, 2026

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

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

Published on: August 12, 2019

Reliable selfing rate estimates from imperfect population genetic data.

Patrice David¹, Benoît Pujol, Frédérique Viard

¹CEFE-CNRS, UMR 5175, Montpellier & France 1919 Route de Mende, 34293 Montpellier Cedex 05, France. patrice.david@cefe.cnrs.fr

Molecular Ecology

|June 15, 2007

Summary

This study introduces a new method to estimate selfing rates in populations using multilocus data, overcoming limitations of traditional heterozygote deficiency measures. The robust multilocus estimate of selfing (rmes) software provides reliable selfing rate estimations, even with imperfect genetic data.

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

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Last Updated: Jul 14, 2026

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

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

Published on: August 12, 2019

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Area of Science:

Population genetics
Evolutionary biology
Quantitative genetics

Background:

Mating systems are often inferred from genotypic frequencies at codominant marker loci.
Traditional methods use heterozygote deficiencies (FIS) to estimate selfing rates (s), assuming inbreeding equilibrium.
FIS can be biased by technical artifacts like null alleles or partial dominance, leading to inaccurate selfing rate estimations.

Purpose of the Study:

To develop a novel method for estimating selfing rates (s) independent of FIS and free from technical biases.
To utilize the multilocus structure of genetic data for more reliable selfing rate estimations.
To provide user-friendly software for implementing the new estimation method.

Main Methods:

Developed a multilocus estimation method for selfing rates (s) that is independent of FIS.
The method relies on the multilocus structure of genetic data in the absence of gametic disequilibrium.
Implemented the method in open-source software called rmes (robust multilocus estimate of selfing).

Main Results:

The new method provides selfing rate estimates comparable in statistical power and precision to FIS.
Demonstrated that positive FIS can occur without selfing, indicating artefactual deficiencies.
Consistent selfing rate estimates were obtained across four real data sets with varying mating systems.

Conclusions:

The robust multilocus estimate of selfing (rmes) method offers a reliable alternative to traditional FIS-based estimations.
This approach allows for the accurate estimation of selfing rates from existing population genetic studies with imperfect data.
The rmes software facilitates broader application of robust selfing rate estimation in evolutionary research.