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Ancient Hybridization with an Unknown Population Facilitated High-Altitude Adaptation of Canids
- Source :
- Molecular biology and evolution. 37(9)
- Publication Year :
- 2020
-
Abstract
- Genetic introgression not only provides material for adaptive evolution but also confounds our understanding of evolutionary history. This is particularly true for canids, a species complex in which genome sequencing and analysis has revealed a complex history of admixture and introgression. Here, we sequence 19 new whole genomes from high-altitude Tibetan and Himalayan wolves and dogs and combine these into a larger data set of 166 whole canid genomes. Using these data, we explore the evolutionary history and adaptation of these and other canid lineages. We find that Tibetan and Himalayan wolves are closely related to each other, and that ∼39% of their nuclear genome is derived from an as-yet-unrecognized wolf-like lineage that is deeply diverged from living Holarctic wolves and dogs. The EPAS1 haplotype, which is present at high frequencies in Tibetan dog breeds and wolves and confers an adaptive advantage to animals living at high altitudes, was probably derived from this ancient lineage. Our study underscores the complexity of canid evolution and demonstrates how admixture and introgression can shape the evolutionary trajectories of species.
- Subjects :
- 0106 biological sciences
Species complex
Lineage (evolution)
Population
Introgression
Biology
010603 evolutionary biology
01 natural sciences
Genome
03 medical and health sciences
Dogs
Phylogenetics
Genetics
Basic Helix-Loop-Helix Transcription Factors
Animals
education
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
0303 health sciences
education.field_of_study
Wolves
Whole Genome Sequencing
Haplotype
Biological Evolution
Evolutionary biology
Hybridization, Genetic
Adaptation
Subjects
Details
- ISSN :
- 15371719
- Volume :
- 37
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Molecular biology and evolution
- Accession number :
- edsair.doi.dedup.....de5eee3d48db62d1b7ea2c4bc07a4f94