Summary Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (≥1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modern legacy of past equestrian civilizations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN “speed gene,” only rose in popularity within the last millennium. Finally, the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management.
The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ~5500 years ago, but the exact nature of early horse domestication remains controversial. We generated 42 ancient-horse genomes, including 20 from Botai. Compared to 46 published ancient- and modern-horse genomes, our data indicate that Przewalski's horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ~4000 years ago to present only show ~2.7% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
Dogs were the first domestic animal, but little is known about their population history and to what extent it was linked to humans. We sequenced 27 ancient dog genomes and found that all dogs share a common ancestry distinct from present-day wolves, with limited gene flow from wolves since domestication but substantial dog-to-wolf gene flow. By 11,000 years ago, at least five major ancestry lineages had diversified, demonstrating a deep genetic history of dogs during the Paleolithic. Coanalysis with human genomes reveals aspects of dog population history that mirror humans, including Levant-related ancestry in Africa and early agricultural Europe. Other aspects differ, including the impacts of steppe pastoralist expansions in West and East Eurasia and a near-complete turnover of Neolithic European dog ancestry.
The cat has long been important to human societies as a pest-control agent, object of symbolic value and companion animal, but little is known about its domestication process and early anthropogenic dispersal. Here we show, using ancient DNA analysis of geographically and temporally widespread archaeological cat remains, that both the Near Eastern and Egyptian populations of Felis silvestris lybica contributed to the gene pool of the domestic cat at different historical times. While the cat's worldwide conquest began during the Neolithic period in the Near East, its dispersal gained momentum during the Classical period, when the Egyptian cat successfully spread throughout the Old World. The expansion patterns and ranges suggest dispersal along human maritime and terrestrial routes of trade and connectivity. A coat-colour variant was found at high frequency only after the Middle Ages, suggesting that directed breeding of cats occurred later than with most other domesticated animals.
In this study, a total of 33 skulls of German shepherd (Alsatian) puppies between 45 and 105 days old were used. Animals were divided into two groups. Group 1 included puppies between 45 and 60 days old, and group 2 included those between 61 and 105 days old. In group 1, a skull weight of 36.95 g, a skull length of 113.96 mm, a maximum zygomatic width of 66.52 mm, a cranial length of 71.31 mm, a maximum neurocranium width of 52.11 mm, a viscerocranial length of 50.28 mm, a skull index of 58.43, a cranial index of 73.24, a facial index of 133.13 and a cranial volume of 55.38 ml were measured. In group 2, a skull weight of 61.17 g, a skull length of 143.38 mm, a maximum zygomatic width of 73.54 mm, a cranial length of 83.38 mm, a maximum neurocranium width of 53.70 mm, a viscerocranial length of 68.64 mm, a skull index of 51.44, a cranial index of 64.57, a facial index of 107.96 and a cranial volume of 75.75 ml were obtained. In order to determine the likely relationship, if any, between the indices and the other parameters, correlation coefficients were computed. It was found that all the measurements increased with age, while indices decreased, and an insignificant positive correlation was found between cranial volume and skull weight. The data obtained in this study may be of use in the consideration of the German shepherd type. For German shepherd dogs, which are a dolichocephalic race, it should be agreed that, in line with growth, the farther the values are from the mean value, the higher the defect rate of a puppy is. Also, the data may be of use in investigating the correlation between, for example, nasal cancer risk and the shape of the skull.
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