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Microsatellite-Based Genetic Structure and Hybrid Detection in Alpacas Bred in Poland.

Angelika PodbielskaKatarzyna PiórkowskaTomasz Szmatoła
Published in: Animals : an open access journal from MDPI (2021)
This study aimed to characterize the population structure and genetic diversity of alpacas maintained in Poland using 17 microsatellite markers recommended by the International Society for Animal Genetics. The classification of llamas, alpacas, and hybrids of both based on phenotype is often difficult due to long-term admixture. Our results showed that microsatellite markers can distinguish alpacas from llamas and provide information about the level of admixture of one species in another. Alpacas admixed with llamas constituted 8.8% of the tested individuals, with the first-generation hybrid displaying only 7.4% of llama admixture. The results showed that Poland hosts a high alpaca genetic diversity as a consequence of their mixed origin. More than 200 different alleles were identified and the average observed heterozygosity and expected heterozygosity values were 0.745 and 0.768, respectively, the average coefficient of inbreeding was 0.034, and the average polymorphism information content value was 0.741. The probability of exclusion for one parent was estimated at 0.99995 and for two parents at 0.99999.
Keyphrases
  • genetic diversity
  • machine learning
  • deep learning
  • healthcare
  • magnetic resonance imaging
  • genome wide
  • dna methylation
  • real time pcr
  • copy number
  • sensitive detection