6 May 2011: Warmuth V, Eriksson A, Bower MA, Cañon J, Cothran G, et al. (2011) Correction: European Domestic Horses Originated in Two Holocene Refugia. PLOS ONE 6(5): 10.1371/annotation/ef679268-70cb-49f8-8e1b-2c9df4ed1930. https://doi.org/10.1371/annotation/ef679268-70cb-49f8-8e1b-2c9df4ed1930 View correction
The role of European wild horses in horse domestication is poorly understood. While the fossil record for wild horses in Europe prior to horse domestication is scarce, there have been suggestions that wild populations from various European regions might have contributed to the gene pool of domestic horses. To distinguish between regions where domestic populations are mainly descended from local wild stock and those where horses were largely imported, we investigated patterns of genetic diversity in 24 European horse breeds typed at 12 microsatellite loci. The distribution of high levels of genetic diversity in Europe coincides with the distribution of predominantly open landscapes prior to domestication, as suggested by simulation-based vegetation reconstructions, with breeds from Iberia and the Caspian Sea region having significantly higher genetic diversity than breeds from central Europe and the UK, which were largely forested at the time the first domestic horses appear there. Our results suggest that not only the Eastern steppes, but also the Iberian Peninsula provided refugia for wild horses in the Holocene, and that the genetic contribution of these wild populations to local domestic stock may have been considerable. In contrast, the consistently low levels of diversity in central Europe and the UK suggest that domestic horses in these regions largely derive from horses that were imported from the Eastern refugium, the Iberian refugium, or both.
Citation: Warmuth V, Eriksson A, Bower MA, Cañon J, Cothran G, Distl O, et al. (2011) European Domestic Horses Originated in Two Holocene Refugia. PLoS ONE 6(3): e18194. https://doi.org/10.1371/journal.pone.0018194
Editor: Michael Hofreiter, University of York, United Kingdom
Received: September 27, 2010; Accepted: February 28, 2011; Published: March 30, 2011
Copyright: © 2011 Warmuth et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was partially supported by a research studentship from the Biotechnology and Biological Sciences Research Council (BB/E527604/1) and a PhD studentship from the German Academic Exchange Service (D/07/44562) to VW, and a Leverhulme Trust project grant (F/09 757/B) to MAB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The domestication of horses was a fundamental step in the history of humankind, providing horse-centred societies with enormous advantages over agricultural societies with regard to long-distance travel, warfare and trade. Consistent with the preference of horses for predominantly open landscapes, the earliest evidence for horse domestication (morphometric data, horse milk residues in pots, and tooth wear resembling that of frequently bitted horses) appears in the Eurasian steppes around 3500 BCE , . In a recent study,  provide further evidence for the importance of the Eurasian steppe in horse domestication by showing that coat colours other than the wild type first arose in Siberia and Eastern Europe, probably reflecting human selection.
Around the time when the first domesticated horses appeared in the Eurasian steppes, large parts of Europe were still covered by vast expanses of dense forest , a habitat that horses avoid . Accordingly, the fossil record for wild horses at that time is extremely scarce , , suggesting that European domestic horses largely descend from stock that was imported from elsewhere in a process known as demic diffusion  (colonisation of an area through population movement ). On the other hand, recent mitochondrial DNA (mtDNA) sequence data from a large number of both pre-domestic and domestic horses has shown that European wild populations also contributed to the gene pool of domestic horses , . Unfortunately, it is currently difficult to distinguish between regions in Europe where the genetic contribution of local wild horses to domestic stock was substantial, and regions where domestic stock was largely introduced, and backcrossing with local wild horses played only a minor role.
To identify primary areas of horse domestication in Europe, we investigate spatial patterns of genetic diversity in horse breeds for which empirical evidence demonstrates a historic origin in a distinct region of mainland Europe or the UK (henceforth referred to as “traditional breeds”). For the purpose of this paper, we define primary areas of horse domestication as regions where local domestic populations largely descend from local wild stock, be it through their initial recruitment to found domestic populations (“independent” domestication), their extensive introgression into local domestic populations, or both.
If there were only a few, geographically restricted regions in Europe where the genetic contribution of local wild horses to domestic stock was substantial, and if domestic populations from such areas were imported into regions where local wild stock was scarce, we would expect the former areas to have retained high levels of genetic diversity, and the latter areas to be characterised by low levels of diversity. The rationale behind this reasoning is that, as populations expand out of origins, genetic diversity will be lost as a consequence of the (usually) small population sizes involved in such expansions (“founder effect”), see  for review). Clear declines in autosomal genetic diversity (allelic richness, heterozygosity) with increasing distance from primary areas of domestication have been found in a number of livestock species, such as cattle –, sheep , , and goats .
To investigate spatial patterns of autosomal genetic diversity in European horses, we assembled a unique dataset of more than 1100 horses typed at 12 autosomal microsatellite loci (Table 1), using both new and previously published data. The combined dataset (Table 2) represents the largest and most comprehensive microsatellite dataset on traditional European horse breeds to date.
Spatial patterns of genetic diversity in traditional European horse breeds
Geographic variation in gene diversity (H) reveals two hotspots of diversity, one in the Caspian region of western Asia, our easternmost sampling location, and one in the Iberian Peninsula (Fig. 1A). A very similar pattern is obtained for allelic richness (RS, Fig. 1B). The Iberian hotspot coincides with the only region in central and western Europe that was characterised by appreciable expanses of open landscape in the mid-Holocene (Fig.1C, adapted from ), suggesting that not only the Eurasian steppes but also the Iberian Peninsula served as refugia for wild horses in the early and mid Holocene, when vast expanses of forest would have rendered most of Europe unsuitable for this steppe-adapted species.
(A) Interpolation of expected heterozygosity H in 24 old European horse breeds. High levels of genetic diversity, as indicated by dark shading, are found in the Caspian region of western Asia and the Iberian Peninsula. White circles indicate the approximate location of origin for each breed. (B) Interpolation of allelic richness RS in 24 native European breeds using a minimum sample size of N = 17. (C) Spatial distribution of biomes in Europe and western Asia 6000 years ago (6 ka) as inferred from model simulations. [Map adapted from 19].
In a comparison of diversity between breeds from regions that were predominantly open versus those that were predominantly forested at 6 ka, we find that the latter group has significantly lower diversity (median H = 0.687, median RS = 4.42) than the former (median H = 0.733, median RS = 5.09; two-sided permutation tests with 10,000 runs; gene diversity H: p = 0.006, Fig. 2A; allelic richness RS: p = 0.002, Fig. 2B). Low levels of diversity in breeds from previously forested areas are consistent with a loss of diversity as small herds of domestic horses were imported into these areas, following their domestication in Iberia or the Eastern steppes. Estimating the relative contribution of the two refugial populations to individual breeds is not possible here due to the limited number of markers used.
Ancient history or recent demography
The observed genetic pattern could be a consequence of recent demographic processes: high diversity in Iberia might reflect disproportionally high levels of admixture from high-diversity non-Iberian breeds. Similarly, low diversity in central Europe and the UK (cE/UK) might reflect disproportionally severe recent bottlenecks or higher levels of inbreeding in breeds from these areas. Since domestication, horses from the Middle East have been among the most widely used to “improve” horse breeds across Europe . We estimated the genetic component of three Middle Eastern breeds (Arab, Akhal Teke and Caspian) in Iberian and cE/UK breeds using two different measures of admixture, the admixture coefficient mY (Table S1A–C) and expected homozygosity FS (Table S2). We found no significant difference in the level of admixture from Middle Eastern breeds between Iberian and cE/UK horses (Wilcoxon tests, admixture with Arab: mY: W = 43, p = 0.877; FS: W = 72.5, p = 0.086; admixture with Akhal Teke: mY: W = 28, p = 0.183; FS: W = 63.5, p = 0.296; admixture with Caspian: mY: W = 23, p = 0.081; FS: W = 37, p = 0.389; Fig. 3A–E). Similarly, there is no significant difference in FIS between Iberian and cE/UK breeds (Wilcoxon test, W = 70.5, p = 0.217; median (IQR) Iberia: 0.035 (0.007–0.052); cE/UK: −0.009 (−0.037–0.028)), implying that breeding practices are unlikely to explain the observed pattern in diversity. Furthermore, cE/UK breeds, but not Iberian ones, would have had to undergo extreme recent contraction, to average effective population sizes (Ne) of between ten and 20 individuals, to generate the observed pattern (equation (3)). While a few individual breeds are known to have undergone such severe bottlenecks in the recent past, these include breeds from the proposed refugia –. Based on the evidence presented here, we infer that the observed pattern of genetic diversity is unlikely to be the result of recent demographic processes.
(A–C) Relative genetic contribution of the (A) Arab, (B) Akhal Teke, and (C) Caspian breed to Iberian and cE/UK breeds based on the admixture coefficient mY. (D–F) Relative genetic contribution of the (D) Arab, (E) Akhal Teke, and (F) Caspian breed to Iberian and cE/UK breeds based on expected homozygosity FS.
Our investigation of genetic diversity in traditional European horse breeds reveals two hotspots of genetic diversity, one in the Caspian region of western Asia and one in the Iberian Peninsula. The distribution of high genetic diversity in European horses coincides with the distribution of open vegetation in the mid-Holocene, suggesting that these areas acted as refugia for wild horses at a time when most of Europe was covered by dense forest .
Although our lack of sampling locations in Central and East Asia prevents us from pinpointing primary areas of horse domestication in this region, high diversity in the Caspian area is in agreement with palaeontological data suggesting that E. ferus survived the Holocene in South-West Asia and Central Asia . Additional sampling further east will help establish whether there is a genuine hotspot of genetic diversity in the Caspian region or whether high diversity in this region merely reflects generally higher levels of diversity in the Eurasian steppes.
A hotspot of genetic diversity in the Iberian Peninsula indicates that E. ferus may have also survived in Iberia. The Iberian Peninsula was the only region in central and western Europe in which appreciable expanses of open habitat persisted throughout the Holocene , . The presence of wild horses in the Iberian Peninsula prior to domestication is supported by findings of horse remains in Neolithic and Copper Age sites (sixth to fourth millennium B.P., , ). More recently, it has been shown that several pre-domestic Iberian maternal lineages survive in modern horses of Iberian descent , , thus documenting a genetic contribution of Iberian wild stock to local domestic horses. Here we go on to show that the genetic contribution of Iberian wild stock to local domestic horses may have been substantial: the high diversity in Iberian horses is consistent with the persistence of E. ferus in the Iberian Peninsula from the Pleistocene through the Holocene, and the subsequent extensive use of local Iberian wild horses in establishing and/or restocking local domestic populations.
Hypotheses of local domestication in other parts of Europe could not be confirmed in this study. Levels of genetic diversity in breeds from previously forested areas are consistently low, suggesting a scenario whereby these areas primarily relied on an import of horses from either the Iberian or the Asian or both refugia (i.e. demic diffusion). This is consistent with the fossil record for horses, which, in turn, reflects the ecology of this large, group-living animal. While our results do not imply that wild horses were entirely absent from forested parts of Holocene Europe, we suggest that their presence in these regions was spatially and temporally discontinuous, with local extinctions and re-colonisations occurring in response to natural forest gap dynamics.
In this study, we have confirmed previous claims whereby populations of E. ferus persisted in refugial steppe habitat in the East , and provide further evidence for a second Holocene refugium for wild horses in the Iberian Peninsula. Our results suggest that primary areas of horse domestication were confined to regions where considerable expanses of open landscape persisted throughout the Holocene, and that previously forested regions in Europe primarily relied on an import of domestic horses. Whether the knowledge of how to successfully capture, tame and breed horses reached Iberia through cultural transmission, or whether this knowledge was acquired independently, is an open question that cannot be answered with genetic data. The approach used here will provide further insights into the processes involved in horse domestication when applied to the Eurasian steppes, a region which has been shown to have played a central role in horse domestication.
In this paper, we present new genotyping data supplemented by microsatellite data from four published studies , –. Individual datasets were aligned using a minimum of four reference samples from each participating lab. The dataset from  had been standardised to reference samples from the ISAG Horse Comparison Test and could therefore be aligned directly. Due to the lack of reference samples, the dataset of  could not be aligned with the rest. The breed contained in this dataset (Bilgoraj) was therefore only used in comparisons of within-population diversity.
Choice of samples
For our final dataset, we excluded all non-European breeds as well as breeds that are known to have been introduced to various European islands in recent times. In order to maximise our chances to detect signals of domestication, we furthermore excluded modern “warmblood” breeds which, by definition, are composite breeds with varying contributions of “heavy” draft horses and “light” riding horses . Our a-priori rules for the inclusion of breeds therefore focused on pony and draft horse breeds for which a historic founding date can be demonstrated, including breeds which are known to have been crossbred with Middle Eastern breeds and/or the English Thoroughbred. Our final dataset includes 1167 individuals from 24 traditional breeds from mainland Europe and the UK (Table 2).
DNA extraction and PCR amplification
Previously unpublished data.
DNA was extracted from blood or hair. For DNA extraction from blood see the Methods section in . DNA extraction from hair was carried out according to a protocol adapted from  using 15–20 hair roots per individual. DNA extracts were purified (QIAquick purification kit, Qiagen) and standardised to a concentration of 10 ng of DNA/µl. A total of 12 microsatellite loci (Table 1) was amplified in multiplex polymerase chain reactions (PCRs) adapted from . PCR amplifications were carried out in a total volume of 12.5 µl using a microsatellite genotyping kit (Qiagen) with 10 ng template DNA and 1.25 µl of a 1∶10 dilution of primer mix. PCR reactions were performed on a thermal cycler under the following cycling conditions: 95°C for 6 min; 32 cycles of 95°C for 30 sec, 58°C for 90 sec, 72°C for 30 sec; 60°C for 30 min. PCR products were run on an ABI 3730 Genetic Analyser (Applied Biosystems). Alleles were assigned using GeneMapper Software v37 (Applied Biosystems).
Nei's gene diversity H  and the inbreeding coefficient FIS  were estimated using FSTAT v 18.104.22.168 . Allelic richness was estimated using the rarefaction algorithm implemented in the programme ADZE . The estimates of allelic richness were standardised to the smallest sample size in our dataset, N = 17. Private alleles were determined using GDA . Permutation tests were carried out in FSTAT and Wilcoxon tests were carried out in R .
Spatial interpolation of genetic diversity.
Because of the uneven sampling of populations across Europe, we developed an approach based on Gaussian kernel interpolation that allows for an adaptive kernel width. Using a hexagonal grid representation of Eurasia (grid points spaced approximately 110 km apart, each land grid point is connected to up to six neighbours as in , ) we calculated the shortest distance on land from each grid point i to each sample location j. United Kingdom, Ireland, and Shetland were connected to the rest of the graph by creating suitable “landbridges”. For each grid point i we then estimated the value of genetic diversity () using Gaussian kernel interpolation,
(1)where n is the number of sample locations, Hj is the genetic diversity for location j, and is the kernel width for the grid point i. Because sample points are clustered, with dense sampling in western Europe and very sparse sampling in the East, we chose the width of the kernel in grid point i to be proportional to the harmonic average of the distance to the sample locations (in order to avoid artefacts from the finite resolution of the grid, distances are forced to be at least 100 km, the typical distance between neighbouring grid points):(2)The scale factor a was chosen to a = 23, such that the kernel when the distance is twice the distance to the closest sample point. Finally, we used Arcview v32 (ESRI) to produce the figures from the grid point estimates.
Potential confounding effects from recent demography
The observed genetic pattern could be a consequence of recent demographic processes rather than a signal of domestication. We considered three major confounding factors that would invalidate the interpretation of genetic hotspots as centres of origin: admixture, recent population declines, and population substructure.
In the recent past, breeds from the Middle East have been widely used to “improve” horse breeds throughout Europe . Since admixture can affect patterns of genetic diversity, we estimated the contribution of three Middle Eastern horse breeds (Arab, Akhal Teke, Caspian) to all other breeds in our dataset. We used two measures of admixture: the admixture coefficient mY  and expected homozygosity FS. mY coefficients and standard deviations were computed as averages of 1,000 random bootstrap samples using the programme ADMIX , . The calculation of mY is based on the assumption that allele frequencies in the admixed populations are linear combinations of those in the parental populations; contrary to other admixture coefficients, mY takes into account allele frequency differences as well as the degree of molecular divergence between alleles and has been shown to be appropriate for use with microsatellite data . Since the true parental populations (i.e. European populations of wild horses) are not available, we chose the Hucul, a breed which has been bred in the Carpathian Basin since the thirteenth century , to represent the genetic component of non-Middle Eastern breeds. The relative genetic contribution of the Middle Eastern breeds to central European/UK breeds was established by individual comparison of each of the three Middle Eastern breeds with the Hucul breed. Since the surrogate parental populations chosen here are unlikely to represent the genetic variability present in the true parental populations, the resulting mY values merely describe the relative contribution of the surrogate parental populations to the admixed populations, not their absolute contributions.
Effect of population substructure on within-population heterozygosity.
If mating is non-random, substructure within breeds may arise, causing a reduction in overall heterozygosity (Wahlund effect). This reduction can be measured using FIS . If the decreased diversity in central Europe/the UK arose because breeding practices in this area have promoted stronger population substructure than those in the proposed refugia, we would expect to see a higher proportion of positive FIS values in the former.
Recent declines in population sizes.
Recent bottlenecks might have contributed to the low diversity observed in central Europe and Great Britain (cE/UK), as compared to Iberia and western Asia. We explored the magnitude of the bottlenecks that would have been necessary to produce the lower median diversity found in cE/UK using the recursion
Ht+1 = Ht*(1-1/2Nt), (3)where Ht is the within-population heterozygosity and Nt the effective population size in generation t. We set the initial diversity Ht equal to the median diversity observed in the putative refugial populations. This is a very conservative estimate, since it (incorrectly) assumes that the latter did not experience recent declines in population sizes.
We considered scenarios in which central European and British populations were reduced to minimum effective population sizes of N = 10, 20, 30, 40, or 50 either six or three generations ago, and then recovered at an annual growth rate r equal to 1.1. Using a generation time of 12 years, the bottlenecks coincide with the 1940s and the 1970s, two periods in which many native horse breeds in Europe experienced dramatic declines in population sizes .
Admixture coefficients m Y for all breeds using (A) Arab and Hucul, (B) Akhal Teke and Hucul, and (C) Caspian and Hucul as parental populations.
We thank Bill Amos, Rob Asher and Graeme Barker for helpful comments on this paper and Anne Wöhlke and Heike Klippert for their assistance in the laboratory. We are extremely grateful to Elizabeth Barrett, Johann Sölkner and Ino Curik for sampling. VW is indebted to the National Institute of Agricultural Botany (NIAB), Cambridge, for allowing her to use their facilities.
Conceived and designed the experiments: VW. Performed the experiments: VW. Analyzed the data: VW AE AM. Contributed reagents/materials/analysis tools: MAB JC GC OD MLGM CL ITY MdMO TZ. Wrote the paper: VW AE AM HH.
- 1. Anthony DW, Bogucki P, Comşa E, Gimbutas M, Jovanović B, et al. (1986) The "Kurgan Culture," Indo-European Origins, and the Domestication of the Horse: A Reconsideration [and Comments and Replies]. Curr Anthropol 27: 291–313.
- 2. Outram AK, Stear NA, Bendrey R, Olsen S, Kasparov A, et al. (2009) The earliest horse harnessing and milking. Science 323: 1332–1335.
- 3. Ludwig A, Pruvost M, Reissmann M, Benecke N, Brockmann GA, et al. (2009) Coat Color Variation at the Beginning of Horse Domestication. Science 324: 485–485.
- 4. Huntley B (1988) Europe. In: Huntley B, Webb T III, editors. Vegetation history. Dordrecht: Kluwer Academic Publishers.
- 5. Linklater WL, Cameron EZ, Stafford KJ, Veltman CJ (2000) Social and spatial structure and range use by Kaimanawa wild horses (Equus caballus: Equidae). N Z J Ecol 24: 139–152.
- 6. Von Koenigswald W (2002) Lebendige Eiszeit. Münster: Arbeitsgemeinschaft für Biologisch-Ökologische Landeserforschung. 190 p.
- 7. Boyle KV (2006) Neolithic Wild Game Animals in Western Europe: the Question of Hunting. In: Serjeantson D, Field D, editors. Animals in the Neolithic of Britain and Europe. Oxford: Oxbow Books. pp. 10–23.
- 8. Ammerman AJ, Cavalli-Sforza LL (1973) A Population Model for the Diffusion of Early Farming in Europe. In: Renfrew C, editor. The Explanation of Culture Change. London: Duckworth. pp. 343–357.
- 9. Childe VG (1925) The dawn of European civilization. London: Routledge & Kegan Paul. 392 p.
- 10. Cieslak M, Pruvost M, Benecke N, Hofreiter M, Morales A, et al. (2010) Origin and history of mitochondrial DNA lineages in domestic horses. Plos One 5: e15311.
- 11. Lira J, Linderholm A, Olaria C, Brandström MD, Gilbert MTP, et al. (2010) Ancient DNA reveals traces of Iberian Neolithic and Bronze Age lineages in modern Iberian horses. Mol Ecol 19: 64–78.
- 12. Handley LJL, Manica A, Goudet J, Balloux F (2007) Going the distance: human population genetics in a clinal world. Trends Genet 23: 432–439.
- 13. Loftus RT, Ertugrul O, Harba AH, El-Barody MAA, MacHugh DE, et al. (1999) A microsatellite survey of cattle from a centre of origin: the Near East. Mol Ecol 8: 2015–2022.
- 14. Cymbron T, Freeman AR, Malheiro MI, Vigne JD, Bradley DG (2005) Microsatellite diversity suggests different histories for Mediterranean and Northern European cattle populations. Proc R Soc B 272: 1837–1843.
- 15. Freeman AR, Bradley DG, Nagda S, Gibson JP, Hanotte O (2006a) Combination of multiple microsatellite data sets to investigate genetic diversity and admixture of domestic cattle. Anim Genet 37: 1–9.
- 16. Medugorac I, Medugorac A, Russ I, Veit-Kensch CE, Taberlet P, et al. (2009) Genetic diversity of European cattle breeds highlights the conservation value of traditional unselected breeds with high effective population size. Mol Ecol 18: 3394–3410.
- 17. Handley LJL, Byrne K, Santucci F, Townsend S, Taylor M, et al. (2007) Genetic structure of European sheep breeds. Heredity 99: 620–631.
- 18. Peter C, Bruford M, Perez T, Dalamitra S, Hewitt G, et al. (2007) Genetic diversity and subdivision of 57 European and Middle-Eastern sheep breeds. Anim Genet 38: 37–44.
- 19. Cañón J, García D, García-Atance MA, Obexer-Ruff G, Lenstra JA, et al. (2006) Geographical partitioning of goat diversity in Europe and the Middle East. Anim Genet 37: 327–334.
- 20. Gallimore R, Jacob R, Kutzbach J (2005) Coupled atmosphere-ocean-vegetation simulations for modern and mid-Holocene climates: role of extratropical vegetation cover feedbacks. Clim Dyn 25: 755–776.
- 21. Hendricks BL (1995) International Encyclopedia of Horse Breeds. Norman: University of Oklahoma Press. 486 p.
- 22. Firouz L (1972) The Caspian Miniature Horse of Iran. privately published.
- 23. Cañón J, Checa ML, Carleos C, Vega-Pla JL, Vallejo M, et al. (2000) The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data. Anim Genet 31: 39–48.
- 24. Royo LJ, Alvarez I, Beja-Pereira A, Molina A, Fernandez I, et al. (2005) The origins of Iberian horses assessed via mitochondrial DNA. J Hered 96: 663–669.
- 25. Mitchell FJG (2005) How open were European primeval forests? Hypothesis testing using palaeoecological data. J Ecol 93: 168–177.
- 26. Stewart JR (2007) Neanderthal extinction as part of the faunal change in Europe during Oxygen Isotope Stage 3. Acta Zool Cracov 50A: 93–124.
- 27. Preece RC (1991) Radiocarbon-dated molluscan successions from the Holocene of central Spain. J Biogeogr 18: 409–426.
- 28. Pantaléon-Cano J, Yll E-I, Perez-Obiol R, Roure JM (2003) Palynological evidence for vegetational history in semi-arid areas of the western Mediterranean (Almeria, Spain). The Holocene 13: 109–119.
- 29. Chapman R (1990) Emerging Complexity: the Later Prehistory of South-East Spain, Iberia and the West Mediterranean. Cambridge: Cambridge University Press. 308 p.
- 30. Uerpmann HP (1990) Die Domestikation des Pferdes im Chalkolithikum West- und Mitteleuropas. Madrider Mitteilungen 31: 110–153.
- 31. Ząbek T, Nogaj A, Radko A, Nogaj J, Slota E (2005) Genetic variation of endangered Polish Bilgoraj and two common horse breeds at the microsatellite loci. J Appl Genet 46: 299–305.
- 32. Glowatzki-Mullis M-L, Muntwyler J, Pfister W, Marti E, Rieder S, et al. (2006) Genetic diversity among horse populations with a special focus on the Franches-Montagnes breed. Anim Genet 37: 33–39.
- 33. Luís C, Juras R, Oom MM, Cothran EG (2007) Genetic diversity and relationships of Portuguese and other horse breeds based on protein and microsatellite loci variation. Anim Genet 38: 20–27.
- 34. Druml T, Curik I, Baumung R, Aberle K, Distl O, et al. (2006) Individual-based assessment of population structure and admixture in Austrian, Croatian and German draught horses. Heredity 98: 114–122.
- 35. Allen M, Engström A-S, Meyer S, Handt O, Saldeen T, et al. (1998) Mitochondrial DNA sequencing of shed hairs and saliva on robbery caps: sensitivity and matching probabilities. J Forensic Sci 43: 453–464.
- 36. Nei M (1987) Molecular Evolutionary Genetics. New York: Columbia University Press. 512 p.
- 37. Wright S (1965) The interpretation of population-structure by F-statistics with special regard to systems of mating. Evolution 19: 395–420.
- 38. Goudet J (1995) FSTAT (Version 1.2): A computer program to calculate F-statistics. J Hered 86: 485–486.
- 39. Szpiech ZA, Jakobsson M, Rosenberg NA (2008) ADZE: a rarefaction approach for counting alleles private to combinations of populations. Bioinformatics 24: 2498–2504.
- 40. Lewis PO, Zaykin D (2001) Genetic Data Analysis: Computer program for the analysis of allelic data. Version 1.0 (d16c). Free program distributed by the authors over the internet from http://lewis.eeb.uconn.edu/lewishome/software.html.
- 41. R Development Core Team (2010) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
- 42. Manica A, Prugnolle F, Balloux F (2005) Geography is a better determinant of human genetic differentiation than ethnicity. Hum Genet 118: 366–371.
- 43. Prugnolle F, Manica A, Balloux F (2005) Geography predicts neutral genetic diversity of human populations. Curr Biol 15: R159–R160.
- 44. Bertorelle G, Excoffier L (1998) Inferring admixture proportions from molecular data. Mol Biol Evol 15: 1298–1311.
- 45. Dupanloup I, Bertorelle G (2001) Inferring Admixture Proportions from Molecular Data: Extension to Any Number of Parental Populations. Mol Biol Evol 18: 672–675.
- 46. Aberle KS, Hamann H, Drögemüller C, Distl O (2004) Genetic diversity in German draught horse breeds compared with a group of primitive, riding and wild horses by means of microsatellite DNA markers. Anim Genet 35: 270–277.
- 47. Binns MM, Holmes NG, Rolliman A, Scott AM (1995) The identification of polymorphic microsatellite loci in the horse and their use in thoroughbred parentage testing. Br Vet J 151: 9–15.
- 48. Guérin G, Bertaud M, Amigues Y (1994) Characterisation of seven new horse microsatellites: HMS1, HMS2, HMS3, HMS5, HMS6, HMS7, HMS8. Anim Genet 25: 62.
- 49. Van Haeringen H, Bowling AT, Stott ML, Lenstra JA, Zwaagstra KA (1994) A highly polymorphic horse microsatellite locus:VHL20. Anim Genet 25: 207.
- 50. Breen M, Lindgren G, Binns MM, Norman J, Irvin Z, et al. (1997) Genetical and physical assignments of equine microsatellites - First integration of anchored markers in horse genome mapping. Mamm Genome 8: 267–273.
- 51. Marklund S, Ellegren H, Eriksson S, Sandberg K, Andersson L (1994) Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites. Anim Genet 25: 19–23.
- 52. Ellegren H, Johansson M, Sandberg K, Andersson L (1992) Cloning of highly polymorphic microsatellites in the horse. Anim Genet 23: 133–142.