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Molecular genetic evaluation of gorals(naemorhedus caudatus raddeanus) genetic resources using microsatellite markers
Journal of the Korean Data & Information Science Society 2017;28:1043-53
Published online September 30, 2017
© 2017 Korean Data & Information Science Society.

Joo Hee Seo1 · Yoonseok Lee2 · Gwang Joo Jeon3 · Hong Sik Kong4

1The Graduate School of Future Convergence Technology, Department of Genomic Informatics, Hankyong National University
234Genomic Informatics Center, Hankyong National University
Correspondence to: Hong Sik Kong
Associate professor, Department of Biotechnology, Hankyong National University, Anseong, 17579, Korea. E-mail: kebinkhs@hknu.ac.kr
Received May 10, 2017; Revised September 6, 2017; Accepted September 7, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this study, genotyping was executed by using 13 microsatellite markers for genetic diversity of 224 Gorals (Saanen(88), Laoshan(67), Toggenburg(32), Alpine(12), Anglonubian(9), Jamnapari(7) and Black Bengal(4)). The number of alleles was observed 4 (INRA005) to 18 (SRCRSP23) each markers. Observed heterozygostiy (Hobs), expected heterozygosity (Hexp) and polymorphism information content (PIC) were observed 0.482 to 0.786, 0.476 to 0.923, and 0.392 to 0.915, respectively. Principal Components Analysis(PCoA) results were similar to the results of FCA. NE-I(on-exclusion probability for identity of two unrelated individuals) was estimated at 2.47×10−15. In conclusion, this study shows the useful data that be utilized as a basic data of Gorals breeding and development.
Keywords : Gorals, genetic diversity, Microsatellite marker