|
| Status |
Public on Dec 07, 2022 |
| Title |
Domestic dog lineages reveal genetic drivers of behavioral diversification |
| Platform organism |
Canis lupus familiaris |
| Sample organisms |
Canis lupus; Canis lupus familiaris; Canis lupus dingo |
| Experiment type |
SNP genotyping by SNP array
Genome variation profiling by SNP array
|
| Summary |
Selective breeding of domestic dogs has generated diverse breeds often optimized for performing specialized tasks. Despite the heritability of breed-typical behavioral traits, identification of causal loci has proven challenging due to the complexity of canine population structure. We overcome longstanding difficulties in identifying genetic drivers of canine behavior by developing an innovative framework for understanding relationships between breeds and the behaviors that define them utilizing genetic data for over 4,000 domestic, semi-feral and wild canids and behavioral survey data for over 46,000 dogs. We identify ten major canine genetic lineages and their behavioral correlates and show that breed diversification is predominantly driven by non-coding regulatory variation. We determine that lineage-associated genes converge in neurodevelopmental co-expression networks, identifying a sheepdog-associated enrichment for interrelated axon guidance functions. This work presents a scaffold for canine diversification that positions the domestic dog as an unparalleled system for revealing the genetic origins of behavioral diversity.
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| |
|
| Overall design |
946 dogs, 9 dingoes, and 1 wolf
|
| |
|
| Contributor(s) |
Dutrow EV, Serpell JA, Ostrander EA |
| Citation(s) |
36493753 |
| |
| Submission date |
Sep 09, 2022 |
| Last update date |
Oct 02, 2024 |
| Contact name |
Alexander Christian Harris |
| E-mail(s) |
alex.harris@nih.gov
|
| Phone |
301-402-2016
|
| Organization name |
National Institutes of Health
|
| Department |
National Human Genome Research Institute
|
| Lab |
Ostrander
|
| Street address |
50 South Drive
|
| City |
Bethesda |
| State/province |
Maryland |
| ZIP/Postal code |
20892 |
| Country |
USA |
| |
|
| Platforms (1) |
|
| Samples (956)
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| Relations |
| Reanalyzed by |
GSE278600 |
| BioProject |
PRJNA879418 |
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