Abstract

BackgroundRussia has a diverse variety of native and locally developed sheep breeds with coarse, fine, and semi-fine wool, which inhabit different climate zones and landscapes that range from hot deserts to harsh northern areas. To date, no genome-wide information has been used to investigate the history and genetic characteristics of the extant local Russian sheep populations. To infer the population structure and genome-wide diversity of Russian sheep, 25 local breeds were genotyped with the OvineSNP50 BeadChip. Furthermore, to evaluate admixture contributions from foreign breeds in Russian sheep, a set of 58 worldwide breeds from publicly available genotypes was added to our data.ResultsWe recorded similar observed heterozygosity (0.354–0.395) and allelic richness (1.890–1.955) levels across the analyzed breeds and they are comparable with those observed in the worldwide breeds. Recent effective population sizes estimated from linkage disequilibrium five generations ago ranged from 65 to 543. Multi-dimensional scaling, admixture, and neighbor-net analyses consistently identified a two-step subdivision of the Russian local sheep breeds. A first split clustered the Russian sheep populations according to their wool type (fine wool, semi-fine wool and coarse wool). The Dagestan Mountain and Baikal fine-fleeced breeds differ from the other Merino-derived local breeds. The semi-fine wool cluster combined a breed of Romanian origin, Tsigai, with its derivative Altai Mountain, the two Romney-introgressed breeds Kuibyshev and North Caucasian, and the Lincoln-introgressed Russian longhaired breed. The coarse-wool group comprised the Nordic short-tailed Romanov, the long-fat-tailed outlier Kuchugur and two clusters of fat-tailed sheep: the Caucasian Mountain breeds and the Buubei, Karakul, Edilbai, Kalmyk and Tuva breeds. The Russian fat-tailed breeds shared co-ancestry with sheep from China and Southwestern Asia (Iran).ConclusionsIn this study, we derived the genetic characteristics of the major Russian local sheep breeds, which are moderately diverse and have a strong population structure. Pooling our data with a worldwide genotyping set gave deeper insight into the history and origin of the Russian sheep populations.

Highlights

  • Russia has a diverse variety of native and locally developed sheep breeds with coarse, fine, and semi-fine wool, which inhabit different climate zones and landscapes that range from hot deserts to harsh northern areas

  • The Russian coarse wool breeds originated from local sheep that were well adapted to the local environmental conditions of certain regions, such as the Edilbai and Kalmyk fat-rumped breeds in the hot dry steppe regions in the south of Russia, the Tuva short-fat-tailed breed in the Trans-Baikal area with a harsh continental climate, the Andean and Lezgin breeds in the mountain areas of the North Caucasus with poor forage resources, and Romanov sheep in the Central Russia with cold winters

  • We investigated the patterns of wholegenome diversity and the population structure of 25 local Russian sheep breeds using genome-wide genotype data

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Summary

Introduction

Russia has a diverse variety of native and locally developed sheep breeds with coarse, fine, and semi-fine wool, which inhabit different climate zones and landscapes that range from hot deserts to harsh northern areas. The sheep (Ovis aries) is one of the economically most important agricultural species and produces a wide range of valuable products including food (meat, milk) and raw materials (wool, sheepskin) [1]. Since their domestication approximately 11,000 years ago (YA) [2, 3], sheep have spread to all continents where they were reared under different environmental, management, and selection conditions. The Russian coarse wool breeds exhibit a large diversity in tail fat deposition as well as in tail length, and they include the short-thintailed Romanov, the long-fat-tailed Kuchugur, Karakul and Caucasian Mountain breeds, the short-fat-tailed Buubei and Tuva, and the fat-rumped Edilbai and Kalmyk breeds

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