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Origin and History of Mitochondrial DNA Lineages in Domestic Horses

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Title
Origin and History of Mitochondrial DNA Lineages in Domestic Horses
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0015311
Pubmed ID
Authors

Michael Cieslak, Melanie Pruvost, Norbert Benecke, Michael Hofreiter, Arturo Morales, Monika Reissmann, Arne Ludwig

Abstract

Domestic horses represent a genetic paradox: although they have the greatest number of maternal lineages (mtDNA) of all domestic species, their paternal lineages are extremely homogeneous on the Y-chromosome. In order to address their huge mtDNA variation and the origin and history of maternal lineages in domestic horses, we analyzed 1961 partial d-loop sequences from 207 ancient remains and 1754 modern horses. The sample set ranged from Alaska and North East Siberia to the Iberian Peninsula and from the Late Pleistocene to modern times. We found a panmictic Late Pleistocene horse population ranging from Alaska to the Pyrenees. Later, during the Early Holocene and the Copper Age, more or less separated sub-populations are indicated for the Eurasian steppe region and Iberia. Our data suggest multiple domestications and introgressions of females especially during the Iron Age. Although all Eurasian regions contributed to the genetic pedigree of modern breeds, most haplotypes had their roots in Eastern Europe and Siberia. We found 87 ancient haplotypes (Pleistocene to Mediaeval Times); 56 of these haplotypes were also observed in domestic horses, although thus far only 39 haplotypes have been confirmed to survive in modern breeds. Thus, at least seventeen haplotypes of early domestic horses have become extinct during the last 5,500 years. It is concluded that the large diversity of mtDNA lineages is not a product of animal breeding but, in fact, represents ancestral variability.

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Geographical breakdown

Country Count As %
Colombia 1 <1%
United Kingdom 1 <1%
Iceland 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 159 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Researcher 30 18%
Student > Master 19 12%
Student > Bachelor 17 10%
Other 11 7%
Other 34 21%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 42%
Biochemistry, Genetics and Molecular Biology 16 10%
Veterinary Science and Veterinary Medicine 14 8%
Environmental Science 6 4%
Social Sciences 6 4%
Other 20 12%
Unknown 34 21%