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Ancient mtDNA diversity reveals specific population development of wild horses in Switzerland after the Last Glacial Maximum

Elsner, Julia and Hofreiter, Michael and Schibler, Jörg and Schlumbaum, Angela. (2017) Ancient mtDNA diversity reveals specific population development of wild horses in Switzerland after the Last Glacial Maximum. PLoS ONE, 12 (5). 0177458.

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Official URL: https://edoc.unibas.ch/59462/

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Abstract

On large geographical scales, changes in animal population distribution and abundance are driven by environmental change due to climatic and anthropogenic processes. However, so far, little is known about population dynamics on a regional scale. We have investigated 92 archaeological horse remains from nine sites mainly adjacent to the Swiss Jura Mountains dating from c. 41,000–5,000 years BP. The time frame includes major environmental turning points such as the Last Glacial Maximum (LGM), followed by steppe vegetation, afforestation and initial re-opening of the landscape by human agricultural activities. To investigate matrilinear population dynamics, we assembled 240 base pairs of the mitochondrial d-loop. FST values indicate large genetic differentiation of the horse populations that were present during and directly after the LGM. After the retreat of the ice, a highly diverse population expanded as demonstrated by significantly negative results for Tajima’s D, Fu’s FS and mismatch analyses. At the same time, a different development took place in Asia where populations declined after the LGM. This first comprehensive investigation of wild horse remains on a regional scale reveals a discontinuous colonisation of succeeding populations, a pattern that diverges from the larger Eurasian trend.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Ehemalige Einheiten Umweltwissenschaften > Archäozoologie (Schibler)
UniBasel Contributors:Schlumbaum, Angela and Schibler, Jörg M. and Elsner, Julia
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Public Library of Science
e-ISSN:1932-6203
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:31 Aug 2018 06:36
Deposited On:29 May 2018 12:47

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