Genomic prediction in the wild: A case study in Soay sheep.

Area of Science:

• Evolutionary genetics
• Quantitative genetics
• Animal ecology

Background:

• Genomic prediction has transformed breeding and medical genetics but is underutilized in wild organism studies.
• Wild populations often require extensive, long-term data collection for traditional genetic analysis.
• Soay sheep population has over 30 years of ecological study and known genetic traits.

Purpose of the Study:

• To assess the accuracy and utility of genomic prediction in a wild Soay sheep population.
• To compare different genomic prediction methods for their effectiveness in wild organisms.
• To explore the potential for pedigree-free molecular quantitative genetics in wild populations.

Main Methods:

• Genomic prediction was applied to eight distinct traits in a wild Soay sheep population.
• Five different genomic prediction methodologies were evaluated.
• The accuracy of prediction was assessed for each trait and method.

Main Results:

• High prediction accuracy was achieved across all tested traits.
• Traits with large-effect loci showed particularly high prediction accuracy.
• Methods incorporating both zero-effect and large-effect loci performed optimally.

Conclusions:

• Genomic prediction is highly accurate for traits in wild Soay sheep.
• This technique offers a promising avenue for pedigree-free quantitative genetics in wild populations.
• Widespread adoption could significantly advance evolutionary and ecological research in diverse wild species.