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Population structure and genetic history of Tibetan Terriers
ID Janeš, Mateja (Author), ID Zorc, Minja (Author), ID Čubrić Čurik, Vlatka (Author), ID Čurik, Ino (Author), ID Dovč, Peter (Author)

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Abstract
Background: Tibetan Terrier is a popular medium-sized companion dog breed. According to the history of the breed, the western population of Tibetan Terriers includes two lineages, Lamleh and Luneville. These two lineages derive from a small number of founder animals from the native Tibetan Terrier population, which were brought to Europe in the 1920s. For almost a century, the western population of Tibetan Terriers and the native population in Tibet were reproductively isolated. In this study, we analysed the structure of the western population of Tibetan Terriers, the original native population from Tibet and of different crosses between these two populations. We also examined the genetic relationships of Tibetan Terriers with other dog breeds, especially terriers and some Asian breeds, and the within-breed structure of both Tibetan Terrier populations. Results: Our analyses were based on high-density single nucleotide polymorphism (SNP) array (Illumina HD Canine 170 K) and microsatellite (18 loci) genotypes of 64 Tibetan Terriers belonging to different populations and lineages. For the comparative analysis, we used 348 publicly available SNP array genotypes of dogs from other breeds. We found that the western population of Tibetan Terriers and the native Tibetan Terriers clustered together with other Asian dog breeds, whereas all other terrier breeds were grouped into a separate group. We were also able to differentiate the western Tibetan Terrier lineages (Lamleh and Luneville) from the native Tibetan Terrier population. Conclusions: Our results reveal the relationships between the western and native populations of Tibetan Terriers and support the hypothesis that Tibetan Terrier belongs to the group of ancient dog breeds of Asian origin, which are close to the ancestors of the modern dog that were involved in the early domestication process. Thus, we were able to reject the initial hypothesis that Tibetan Terriers belong to the group of terrier breeds. The existence of this native population of Tibetan Terriers at its original location represents an exceptional and valuable genetic resource.

Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Year:2019
Number of pages:12 str.
Numbering:Vol. 51, art. 79
PID:20.500.12556/RUL-128314 This link opens in a new window
UDC:636.7:575
ISSN on article:1297-9686
DOI:10.1186/s12711-019-0520-4 This link opens in a new window
COBISS.SI-ID:4349576 This link opens in a new window
Publication date in RUL:08.07.2021
Views:938
Downloads:196
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Record is a part of a journal

Title:Genetics selection evolution
Shortened title:Genet. sel. evol.
Publisher:Springer Nature
ISSN:1297-9686
COBISS.SI-ID:3183636 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:27.12.2019

Secondary language

Language:Slovenian
Keywords:psi, pasme, tibetanski terier, genetika, populacije

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P4-0220
Name:Primerjalna genomika in genomska biodiverziteta

Funder:MZOS - Ministry of Science, Education and Sports of the Republic of Croatia
Project number:BI-HR/14-15-033

Funder:Other - Other funder or multiple funders
Funding programme:CEEPUS Network scholarship
Project number:CIII-SK-0044-09-1415

Funder:Other - Other funder or multiple funders
Funding programme:CEEPUS Network scholarship
Project number:CEEPUS III FREEMOVER-1516-89203

Funder:Other - Other funder or multiple funders
Funding programme:ERASMUS + Student Mobility for a traineeship, 2016/17
Project number:KA103

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