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PloS one2017; 12(5); e0177458; doi: 10.1371/journal.pone.0177458

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

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.
Publication Date: 2017-05-24 PubMed ID: 28542345PubMed Central: PMC5443500DOI: 10.1371/journal.pone.0177458Google Scholar: Lookup
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Summary

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This research explores the changes in the population of wild horses in Switzerland, from about 41,000 to 5,000 years ago, during an era marked by major environmental changes. Tracing the mitochondrial DNA from archaeological horse remains, the study revealed substantial genetic diversification among horse populations living during and immediately after the Last Glacial Maximum (LGM) and a highly diverse population expansion following the retreat of ice.

Overview

The study is a detailed investigation into regional scale population dynamics, with a focus on wild horses in Switzerland and covering a timespan of approximately 41,000 to 5,000 years ago. This era was marked by significant environmental shifts that influenced the genetic and population trends in wild horses in the region, such as the Last Glacial Maximum (LGM), steppe vegetation, afforestation, and the commencement of human agricultural activities.

Methodology

  • The researchers examined 92 archaeological horse remains obtained from nine different sites, primarily surrounding the Swiss Jura Mountains.
  • The mitochondrial d-loop, a non-coding region of mitochondrial DNA, was used to study matrilineal population dynamics. The team assembled 240 base pairs of the mitochondrial d-loop for examination.
  • The researchers applied FST values for gauging the extent of genetic differentiation in the horse populations during and immediately after the LGM.

Findings

  • The results indicate a high level of genetic differentiation amongst the horse populations that existed during the LGM and immediately after.
  • Once the glaciers retreated, a genetically diverse population expanded, as indicated by significantly negative results for Tajima’s D, Fu’s FS, and mismatch analyses.
  • Interestingly, this population trend differed from the pattern observed in Asia during the same period, where horse populations declined post-LGM.

Significance

  • This research provides a comprehensive regional view of wild horse population trends, highlighting distinct patterns of colonisation and genetic diversity between successive populations.
  • The study’s findings deviate from the larger Eurasian trend, highlighting the effects of environmental changes at regional scales.
  • Understanding these animal population dynamics can provide valuable insights into past environmental changes and their impacts on biodiversity. Such understandings can be leveraged to create informed conservation strategies.

Cite This Article

APA
Elsner J, Hofreiter M, Schibler J, Schlumbaum A. (2017). Ancient mtDNA diversity reveals specific population development of wild horses in Switzerland after the Last Glacial Maximum. PLoS One, 12(5), e0177458. https://doi.org/10.1371/journal.pone.0177458

Publication

ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 12
Issue: 5
Pages: e0177458
PII: e0177458

Researcher Affiliations

Elsner, Julia
  • Integrative Prehistory and Archaeological Science, University of Basel, Basel, Switzerland.
Hofreiter, Michael
  • Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Schibler, Jörg
  • Integrative Prehistory and Archaeological Science, University of Basel, Basel, Switzerland.
Schlumbaum, Angela
  • Integrative Prehistory and Archaeological Science, University of Basel, Basel, Switzerland.

MeSH Terms

  • Animals
  • Animals, Wild / classification
  • Animals, Wild / genetics
  • Asia
  • Climate Change / history
  • DNA, Mitochondrial / genetics
  • DNA, Mitochondrial / history
  • Ecosystem
  • Fossils
  • Genetic Variation
  • Haplotypes
  • History, Ancient
  • Horses / classification
  • Horses / genetics
  • Phylogeny
  • Population Dynamics / history
  • Population Dynamics / trends
  • Switzerland

Conflict of Interest Statement

The authors have declared that no competing interests exist.

References

This article includes 56 references

Citations

This article has been cited 2 times.
  1. Guimaraes S, Arbuckle BS, Peters J, Adcock SE, Buitenhuis H, Chazin H, Manaseryan N, Uerpmann HP, Grange T, Geigl EM. Ancient DNA shows domestic horses were introduced in the southern Caucasus and Anatolia during the Bronze Age.. Sci Adv 2020 Sep;6(38).
    doi: 10.1126/sciadv.abb0030pubmed: 32938680google scholar: lookup
  2. Cozzi MC, Strillacci MG, Valiati P, Rogliano E, Bagnato A, Longeri M. Genetic variability of Akhal-Teke horses bred in Italy.. PeerJ 2018;6:e4889.
    doi: 10.7717/peerj.4889pubmed: 30202639google scholar: lookup