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Genome-wide SNP analysis clearly distinguished the Belarusian Red cattle from other European cattle breeds

Authors :
V. R. Kharzinova
Arsen V Dotsev
M. E. Mikhailova
Johann Sölkner
Alexander A Sermyagin
I P Sheiko
Klaus Wimmers
Natalia A Zinovieva
R I Sheiko
N V Pleshanov
Gottfried Brem
Alexandra S Abdelmanova
Henry Reyer
Source :
Animal geneticsReferences. 52(5)
Publication Year :
2021

Abstract

Local breeds can serve as an important source of genetic variability in domestic animal species. This study aimed to assess the genetic diversity and population structure of Belarusian Red cattle and their differentiation from other European cattle populations based on genome-wide SNP genotypes. Twenty pedigree-recorded non-closely related cows of Belarusian Red cattle were genotyped using the Illumina BovineHD BeadChip. Genotypes of 22 other European cattle breeds were included in the study for comparison. A total of 28 562 SNPs passed through the quality control checks and were selected for analysis. The Belarusian Red cattle displayed a moderate level of genetic variability (U HE = 0.341, HO = 0.368), and the highest heterozygote excess (U FIS = -0.066), among the studied breeds; this reflects the contribution of multiple breeds to their formation. The principal component analysis, FST -based Neighbor-Net tree and Admixture clustering, clearly distinguished the Belarusian Red cattle from the other European cattle breeds. Moreover, the presence of ancestral genomic components of Danish Red and Brown Swiss breeds were clearly visible, which agrees with the breed's history and its recent development. Our study highlights the importance of maintaining the specific genomic components, which makes a significant contribution to the global genetic diversity in the modern population of Belarusian Red cattle, allowing us to consider them a valuable national genetic resource. Our research results will be useful for the development of conservation programs for this local cattle breed.

Details

ISSN :
13652052
Volume :
52
Issue :
5
Database :
OpenAIRE
Journal :
Animal geneticsReferences
Accession number :
edsair.doi.dedup.....24d097ca9339dd5b52b45cf1f3ce08cf