Literature DB >> 30556218

Evaluation of recent changes in genetic variability in Japanese thoroughbred population based on a short tandem repeat parentage panel.

Hironaga Kakoi1, Mio Kikuchi1, Teruaki Tozaki1, Kei-Ichi Hirota1, Shun-Ichi Nagata1.   

Abstract

The integrity of thoroughbreds is maintained under strict regulation involving DNA parentage testing, which is robust in a population with high genetic variability. The genetic variability of the thoroughbred population is possibly fluctuating because of selective breeding that has focused on adaptations for racing performance. To monitor genetic variability within the population and the effectiveness of short tandem repeat (STR) parentage testing, we investigated allele frequencies and the exclusion probability (PE) of 16-17 loci of a parentage panel in the Japanese thoroughbred population over 15 years. Expected heterozygosities (He) of 14 loci indicated a decreasing trend, and the average He of the population decreased significantly. Low genetic variability was possibly induced by a decrease in population size and a selective breeding bias. Four loci showed both a significant increase in allele frequency and a significant decrease in He; it is assumed that those loci were affected by positive selection for racing performance. There was a significant decrease in the PE because of the changes in genetic variability; however, it has remained over 0.99995. The current STR panel is still effective for parentage control, but it will be necessary to continuously monitor genetic variability, which has decreased over 15 years.
© 2018 Japanese Society of Animal Science.

Keywords:  exclusion probability; genetic variability; horse; microsatellite; thoroughbred

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Year:  2018        PMID: 30556218     DOI: 10.1111/asj.13143

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  1 in total

1.  Genomic inbreeding trends, influential sire lines and selection in the global Thoroughbred horse population.

Authors:  Beatrice A McGivney; Haige Han; Leanne R Corduff; Lisa M Katz; Teruaki Tozaki; David E MacHugh; Emmeline W Hill
Journal:  Sci Rep       Date:  2020-01-16       Impact factor: 4.379

  1 in total

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