Genetic diversity within and gene flow between three draught horse breeds using genealogical information

Vostrá-Vydrová, Hana; Vostrý, L.; Hofmanová, B.; Krupa, E.; Veselá, Zdenka; Schmidová, Jitka

doi:10.17221/91/2015-cjas

Cited by 12 publications

(7 citation statements)

References 28 publications

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“…The estimated F ST values are lower than those determined between two colour varieties within the Old Kladruber horse breed (F ST = 0.082) (Kasarda et al 2016). These results are fully consistent with the values of average inbreeding coefficients and F ST estimated by Vostra-Vydrova et al (2016) by means of pedigree analysis. The low values of F ST and genetic distances between the analyzed breeds result from the crossing between individuals from different breeds between 1960 and 1990.…”

Section: Discussionsupporting

confidence: 86%

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2022

Czech J. Anim. Sci.

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Vostrá-Vydrová H., Vostrý L., Hofmanová B., Moravčíková N., Veselá Z., Vrtková I., Novotná A., Kasarda R. (2018): Genetic diversity and admixture in three native draught horse breeds assessed using microsatellite markers. Czech J. Anim. Sci., 63,[85][86][87][88][89][90][91][92][93] In this study, we aimed to estimate and compare genetic diversity of two native draught horse breeds and check the possible influence of Noriker breed population on these native breeds. Genetic analyses of relationships and admixture were performed in two native endangered draught horse populations (Silesian Noriker and Czech-Moravian Belgian horses) and one open breed (Noriker). Totally 104 alleles from 13 microsatellite loci were detected in 1298 horses. The average number of alleles per locus was the highest in the Czech-Moravian Belgian horse (7.62) and the lowest in the Silesian Noriker (7.31), the differences were non-significant, whereas the observed and expected heterozygosities per breed ranged from 0.680 (Czech-Moravian Belgian) to 0.719 (Noriker) and from 0.678 (Silesian Noriker) to 0.714 (Noriker). The estimates of Wright's F ST between each pair of breeds indicated a low level of genetic segregation. At the individual level across the analyzed population, formation of two clusters was observed with respect to historical breed development. Moreover, the membership probability outputs showed that the frequencies of alleles varied across the two main regions represented by the Czech-Moravian Belgian and other analyzed breeds. Our results indicated high genetic variability, low inbreeding, and low genetic differentiation, especially between Silesian Noriker and Noriker, which is caused by the high level of admixture. This high level of admixture was in accordance with geographical location, history, and breeding practices of the analyzed breeds. The Silesian Noriker and Noriker breeds seem to be the most genetically related and the decision to consider them as the same population is thus highly supported. The study provides data and information utilizable in the management of conservation programs planned to reduce inbreeding and to minimize loss of genetic variability.

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Section: Discussionsupporting

confidence: 86%

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2022

Czech J. Anim. Sci.

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“…Vostrá‐Vydrová et al. () demonstrated also a low pairwise F ST coefficient (0.006) between the Silesian Noriker and Noriker, using genealogical information.…”

Section: Discussionmentioning

confidence: 97%

Genetic monitoring of horses in the Czech Republic: A large‐scale study with a focus on the Czech autochthonous breeds

Putnová

Štohl

Vrtková

2018

J Animal Breeding Genetics

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We propose the first comprehensive in-depth study monitoring horses in the Czech Republic. We scanned 9,289 animals from 44 populations for 17 equine STRs. Other equids analysed involved Equus przewalskii and Equus asinus. The total of 228 different alleles were detected, with the mean number of 13.4 per locus. The highest allelic richness (AR) was found in the Welsh Part Bred (6.01), followed by the Camargue (5.93) and Czech Sport Pony (5.91), whereas the Friesian exhibited the lowest AR (3.06). Interpopulation differences explained approximately nine per cent of the total genetic diversity. Reynold's genetic distance ranged from 0.003 between the Czech Warmblood and the Slovak Warmblood to 0.404 between the Friesian and donkeys. Close genetic proximity between the Silesian Noriker and Noriker was revealed. The Moravian Warmblood was better differentiated and more distant from the Czech Warmblood than the Kinsky Horse and retained the original genes of the old Austro-Hungarian tribes. A high gene flow level and a lack of genetic structure were found in the seven studied populations. Despite the historical bottlenecks and previous inbreeding, the Czech-Moravian Belgian Horse, Hucul, Old Kladruber Horse and Silesian Noriker did not suffer a serious loss of genetic diversity due to genetic drift/low effective population size. A NeighborNet dendrogram revealed breeds not classified in their groups according to the nomenclature (the Friesian, Hafling and Merens).

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“…This is in accordance with the fact that SNOR stallions were still used for breeding with NOR mares without major restriction. Their offspring, with more than 50% of the SNOR breed's genes, were thereafter regularly included in the stud book of the SNOR (until 2013) (Vostra-Vydrova et al 2016).…”

Section: Genetic Variations and Breed Differentiationmentioning

confidence: 99%

Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

Putnová¹,

Štohl²,

Vrtková³

2019

CZECH J ANIM SCI

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Based on a data set comprising 2879 animals and 17 nuclear microsatellite DNA markers, we propose the most comprehensive in-depth study mapping the genetic structure and specifying the assignment success rates in horse breeds at the Czech population scale. The STRUCTURE program was used to perform systematic Bayesian clustering via the Markov chain Monte Carlo estimation, enabling us to explain the population stratification and to identify genetic structure patterns within breeds worldwide. In total, 182 different alleles were found over all the populations and markers, with the mean number of 10.7 alleles per locus. The expected heterozygosity ranged from 0.459 (Friesian) to 0.775 (Welsh Part Bred), and the average level reached 0.721. The average observed heterozygosity corresponded to 0.709, with the highest value detected in the Czech Sport Pony (0.775). The largest number of private alleles was found in Equus przewalskii. The population inbreeding coefficient FIS ranged from –0.08 in the Merens to 0.14 in the Belgian Warmblood. The total within-population inbreeding coefficient was estimated to be moderate. As expected, very large genetic differentiation and small gene flow were established between the Friesian and Equus przewalskii (FST = 0.37, Nm = 0.43). Zero FST values indicated no differences between the Czech Warmblood–Slovak Warmblood and the Czech Warmblood–Bavarian Warmblood. A high level of breeding and connectivity was revealed between the Slovak Warmblood–Bavarian Warmblood, Dutch Warmblood–Oldenburg Horse, Bavarian Warmblood–Dutch Warmblood, and Bavarian Warmblood–Oldenburg Horse. The breeds’ contribution equalled about 6% of the total genetic variability. The overall proportion of individuals correctly assigned to a population corresponded to 82.4%. The posterior Bayesian approach revealed a hierarchical dynamic genetic structure in four clusters (hot-blooded, warm-blooded, cold-blooded, and pony). While most of the populations were genetically distinct from each other and well-arranged with solid breed structures, some of the entire sets showed signs of admixture and/or fragmentation.

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Genetic diversity within and gene flow between three draught horse breeds using genealogical information

Cited by 12 publications

References 28 publications

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Genetic monitoring of horses in the Czech Republic: A large‐scale study with a focus on the Czech autochthonous breeds

Using nuclear microsatellite data to trace the gene flow and population structure in Czech horses

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