Changes in population structure and genetic diversity of Misaki horses between 2015 and 2020.

Misaki horses genetic diversity population statistics

Journal

The Journal of veterinary medical science
ISSN: 1347-7439
Titre abrégé: J Vet Med Sci
Pays: Japan
ID NLM: 9105360

Informations de publication

Date de publication:
06 Nov 2023
Historique:
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 5 11 2023
Statut: aheadofprint

Résumé

For the preservation of Misaki horses, changes in the population structure and genetic diversity of the horses for 5 years were analyzed using population and genotype data from 2015-2020. The microsatellite genotyping was performed, and the average number of alleles (Na), expected heterozygosity (He), and observed value (Ho) were calculated. Moreover, the average generation length (GL) was estimated from the population management record. Then, no significant differences in Na, He, and Ho were found between 2015 and 2020, suggesting their genetic diversity had been maintained for 5 years. Moreover, the average GL was estimated as 4.6 years. Compared to other native horses, a short average GL suggesting a rapid generation renewing is a characteristic of the Misaki population.

Identifiants

pubmed: 37926513
doi: 10.1292/jvms.23-0188
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Ikuo Kobayashi (I)

Sumiyoshi Livestock Science Station, Field Science Center, University of Miyazaki.
Center for Animal Disease Control, University of Miyazaki.

Kotono Nakamura (K)

Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University.

Ibuki Saito (I)

Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University.

Masaru Akita (M)

Kushima City.

Teruaki Tozaki (T)

Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University.
Laboratory of Racing Chemistry.

Masamichi Miyazaki (M)

Department of Veterinary Medicine, Faculty of Applied Biological Sciences, Gifu University.

Kazuki Hano (K)

Gifu University Institute for Advanced Study, Gifu University.

Masaki Takasu (M)

Gifu University Institute for Advanced Study, Gifu University.
Center for One Medicine Innovative Translational Research (COMIT), Gifu University.

Classifications MeSH