Abstract
Operating under the assumption that decline in population size increases the threat of loss of genetic diversity, herein, our first aim was to monitor and document the genetic diversity and population structure of the endemic Tuva–Tofalar reindeer, the number of which has seen a dramatic decrease. Second, we were interested in understanding of Tuva reindeer genetic relationship with four officially recognized reindeer breeds, whose wild populations inhabit the Far North of Russia, as well as with the domestic reindeer making up the Mongolian population. Our results, based on the genome-wide SNP genotypes generated by the BovineHD BeadChip, revealed a low level of genetic variability of Tuva population in terms of the values of both allelic and genetic diversity. The ADMIXTURE analysis, the PCA plot, and the Neighbor Net network results, showed that Tuva population shared genetic background with reindeer inhabiting Mongolia, an implication of their common origin. Moreover, all statistic approaches used in our study showed a distinctive shared genetic structure revealed in independent clusters found in the composition of: an admixed cluster of Tuvan and Mongolian populations, a cluster of domestic reindeer breeds, and a cluster of the wild populations—all of which indirectly points to the possibility of the independent origins (with regard to the domestication) of the reindeer groups studied herein. We believe that our findings will contribute to the formation of a rational basis for solving problems related to the conservation of domestic Tuva-Tofalar reindeer in order to increase the number of this substantial reindeer population which will contribute to the sustainable functioning of ecosystems and the lives and culture of indigenous peoples inhabiting the southern sections of Eastern Siberia.
Funder
Russian Science Foundation
Ministry of Science and Higher Education of the Russian Federation
Subject
Nature and Landscape Conservation,Agricultural and Biological Sciences (miscellaneous),Ecological Modeling,Ecology
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