Asian-Australasian Journal of Animal Sciences

  • 제31권2호
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  • Pages.167-179
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  • 2018
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  • 1011-2367(pISSN)
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  • 1976-5517(eISSN)
아세아태평양축산학회 (Asian Australasian Association of Animal Production Societies)
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Survey of genetic structure of geese using novel microsatellite markers

  • Lai, Fang-Yu (Department of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University) ;
  • Tu, Po-An (Department of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University) ;
  • Ding, Shih-Torng (Department of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University) ;
  • Lin, Min-Jung (Chunghua Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan) ;
  • Chang, Shen-Chang (Chunghua Animal Propagation Station, Livestock Research Institute, Council of Agriculture, Executive Yuan) ;
  • Lin, En-Chung (Department of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University) ;
  • Lo, Ling-Ling (Department of Animal Science, Chinese Culture University) ;
  • Wang, Pei-Hwa (Department of Animal Science and Technology, College of Bioresources and Agriculture, National Taiwan University)
  • 투고 : 2017.03.22
  • 심사 : 2017.07.28
  • 발행 : 2018.02.01
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초록

Objective: The aim of this study was to create a set of microsatellite markers with high polymorphism for the genetic monitoring and genetic structure analysis of local goose populations. Methods: Novel microsatellite markers were isolated from the genomic DNA of white Roman geese using short tandem repeated probes. The DNA segments, including short tandem repeats, were tested for their variability among four populations of geese from the Changhua Animal Propagation Station (CAPS). The selected microsatellite markers could then be used to monitor genetic variability and study the genetic structures of geese from local geese farms. Results: 14 novel microsatellite loci were isolated. In addition to seven known loci, two multiplex sets were constructed for the detection of genetic variations in geese populations. The average of allele number, the effective number of alleles, the observed heterozygosity, the expected heterozygosity, and the polymorphism information content were 11.09, 5.145, 0.499, 0.745, and 0.705, respectively. The results of analysis of molecular variance and principal component analysis indicated a contracting white Roman cluster and a spreading Chinese cluster. In white Roman populations, the CAPS populations were depleted to roughly two clusters when K was set equal to 6 in the Bayesian cluster analysis. The founders of private farm populations had a similar genetic structure. Among the Chinese geese populations, the CAPS populations and private populations represented different clads of the phylogenetic tree and individuals from the private populations had uneven genetic characteristics according to various analyses. Conclusion: Based on this study's analyses, we suggest that the CAPS should institute a proper breeding strategy for white Roman geese to avoid further clustering. In addition, for preservation and stable quality, the Chinese geese in the CAPS and the aforementioned proper breeding scheme should be introduced to geese breeders.

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