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Optimizing Bangkaew dog breed identification using DNA technology

  • Chananya Patta,
  • Worapong Singchat,
  • Chadaphon Thatukan,
  • Wattanawan Jaito,
  • Nichakorn Kumnan,
  • Piangjai Chalermwong,
  • Thitipong Panthum,
  • Trifan Budi,
  • Wongsathit Wongloet,
  • Pish Wattanadilokchatkun,
  • Thanyapat Thong,
  • Syed Farhan Ahmad,
  • Narongrit Muangmai,
  • Kyudong Han,
  • Prateep Duengkae,
  • Rattanin Phatcharakullawarawat,
  • Kornsorn Srikulnath

摘要

Background

The Bangkaew dog is an indigenous dog breed in the Phitsanulok province of Thailand. This breed is recognized by the Fédération Cynologique Internationale (FCI), a global canine organization. The unique traits of the Bangkaew breed lead to purebred selection for breeding, while only their traits and pedigree from parental history are recorded. Determination of the risk of inbreeding depression and the origin of unknown DNA profiles is essential due to the challenges in predicting puppy characteristics, which are crucial for breed management and conservation.

Objective

This study aimed to emphasize that current allelic frequency data for the Bangkaew dog breed must be considered for precise individual identification.

Methods

Approximately 82 Bangkaew dogs from various Thai localities were studied using 15 microsatellite markers for genotypic monitoring and individual identification. Maternal genetic inheritance was assessed via mtDNA D-loop analysis.

Results

The results revealed high genetic diversity in the Bangkaew breed, indicating low potential for inbreeding. We also found that using a 15 loci microsatellite panel was effective for the identification of Bangkaew dogs. The optimized 10 loci microsatellite genotyping panel developed in this study presents improved identification testing efficiency, promoting both time- and cost-effectiveness.

Conclusion

Analysis of microsatellite DNA markers in Bangkaew dogs using an optimized panel of 10 loci selected from 15 loci effectively facilitated individual identification. This approach not only enhances time and cost efficiency, but also provides accurate allelic frequency estimates, which are crucial for the realistic evaluation of DNA evidence.