Fractional paternity assignment: theoretical development and comparison to other methods

Area of Science:

• Population Genetics
• Evolutionary Biology
• Behavioral Ecology

Background:

• Understanding paternity patterns is crucial for population genetics, influencing studies on mating distances, male reproductive success, and gene flow.
• Current paternity analysis methods like simple exclusion and most-likely assignment have inherent biases and limitations.

Purpose of the Study:

• To introduce and validate a novel "fractional paternity" method for analyzing populational paternity patterns.
• To compare the accuracy and biases of the fractional paternity method against existing paternity analysis techniques.
• To explore the impact of marker loci linkage on paternity assignment accuracy and propose a method to assess linkage phase.

Main Methods:

• Development of the fractional paternity analysis method.
• Comparative analysis of fractional paternity with simple exclusion and most-likely methods using simulated or empirical data.
• Investigation of the influence of marker loci linkage on paternity assignment and linkage phase assessment in hermaphroditic individuals.

Main Results:

• The fractional paternity method demonstrates superior accuracy in assigning paternity to all progeny.
• It effectively avoids systematic biases present in the most-likely paternity assignment method, particularly concerning homozygous marker loci.
• Knowledge of linkage phase significantly enhances paternity assignment accuracy, and this can be assessed in hermaphrodites without traditional progeny testing.

Conclusions:

• The fractional paternity method offers a more accurate and unbiased approach to studying mating patterns in natural populations.
• Assessing linkage phase, achievable through hermaphroditic progeny analysis, further refines paternity estimates.
• This approach will significantly advance our understanding of mating systems and evolutionary processes in natural populations.