Genomic Signatures of Artificial Selection in 25 Dog Breeds

Featuring genotype data from 25 individuals in each of 25 dog breeds, used to evaluate selection scan performance. It focuses on 12 quantitative trait loci associated with breed-specific morphological phenotypes. The study identified signatures of both hard and soft selective sweeps, including events removing diversity over regions greater than 10 Mbp.

Use Cases

• Evaluate the performance of selection scan statistics using 12 known quantitative trait loci as positive controls.
• Analyze haplotype and nucleotide polymorphism patterns around selected loci to detect signatures of artificial selection.
• Compare the sensitivity and accuracy of different statistics for detecting selective sweeps across 25 dog breeds.
• Identify breeds where specific causal mutations for morphological traits most likely experienced positive selection.
• Study the impact of founder effects and population bottlenecks on linkage disequilibrium and selection signatures.

Strengths

• Data from 25 individuals per breed across 25 distinct dog breeds provides a structured comparative framework.
• Focuses on 12 quantitative trait loci with known causal mutations for morphological phenotypes.
• Demonstrates detection of selective sweeps that removed diversity over genomic regions exceeding 10 Mbp.

Limitations

• The dataset is derived from a specific study evaluating methodology, which may limit generalizability to other species or selection types.
• Sensitivity and accuracy of detection varied widely between loci, statistics, and analysis parameters, indicating methodological constraints.
• The population structure, characterized by severe founder effects and bottlenecks in dog breeds, may not represent natural populations.

Provenance

Source

Florencia Schlamp via Dryad.

Collection Method

Genotype data analyzed from 25 individuals per breed to measure population frequencies of causal mutations at 12 loci.

Freshness

Last updated in June 2020.