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Comparing parentage inference software: reanalysis of a red deer pedigree
Craig A Walling1, Josephine M Pemberton, Jarrod D Hadfield
1Institute of Evolutionary Biology, King's Buildings, University of Edinburgh, Edinburgh EH9 3JT, UK. craig.walling@ed.ac.uk
Molecular Ecology
|March 30, 2010
Summary
Accurate parentage inference in wild populations is crucial for evolutionary studies. New methods using additional genetic and phenotypic data improve parent assignment accuracy compared to traditional software.
Area of Science:
- Population genetics
- Evolutionary biology
- Wildlife management
Background:
- Parentage inference is vital for understanding wild population dynamics.
- Molecular markers and statistical methods have advanced parentage analysis.
- Existing tools like Cervus do not utilize all available genetic and phenotypic data.
Purpose of the Study:
- To evaluate advanced parentage inference programs (MasterBayes, COLONY2) using additional data types.
- To compare the accuracy of these programs against a known pedigree derived from extensive microsatellite data.
- To quantify the impact of incorporating phenotypic and multiple relationship information.
Main Methods:
- Reanalysis of red deer population data using MasterBayes and COLONY2.
- Comparison of program outputs against a high-density microsatellite-derived 'known pedigree'.
- Assessment of the influence of phenotypic data and multi-relationship analyses on assignment accuracy.
Main Results:
- MasterBayes and COLONY2, utilizing additional information, increased correct parentage assignments.
- These programs demonstrated higher accuracy and fewer erroneous assignments due to individual-level confidence metrics.
- Differences in confidence metrics (population vs. individual-level) between programs were highlighted.
Conclusions:
- Advanced programs incorporating phenotypic and multi-relationship data enhance parentage assignment accuracy in wild populations.
- Individual-level confidence metrics reduce erroneous assignments compared to population-level metrics.
- Combining outputs from different programs may maximize information gain for robust pedigree reconstruction.
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