GENETIC CHARACTERISTICS OF THE YAKUT HORSE YANA TYPE

The aim of the study is to assess genetic variability in the population of Yakut horses of the Yana intrabreed type using an extended panel of STR loci, as well as to study the polymorphism of the ASIP, MC1R and STX17 genes that control the characteristics of hair pigmentation. The total number of animals examined was 55. Horses were tested using 25 autosomal STR loci (AHT4, AHT5, ASB2, ASB17, ASB23, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG6, HTG7, HTG10, TKY279, TKY287, TKY321, TKY343, TKY344, TKY294, TKY325, TKY333, TKY341, TKY394, VHL20) and one locus located on the X chromosome (LEX3). Analysis of the genetic structure of the Yana horse population by STR loci showed a high level of genetic variability. The total number of alleles found in 26 studied loci was 208, of which 67 alleles were rare. The average number of effective alleles was 4.69 per locus. The average values of expected (He) and observed (Ho) heterozygosity, taking into account the 25 studied autosomal loci, were 0.762 and 0.761, respectively. A study of the polymorphism of genes controlling hair pigmentation showed that the frequency of the mutant variant of the ASIP gene in the group of Yana horses was 0.500, the frequency of the mutant variant of the MC1R gene was 0.327. The dominant mutation of the STX17 gene, associated with the gray phenotype, was found in 56.36 % of the tested animals. Taking into account the results of testing for 3 genes controlling pigmentation, 14 different genotype variants were identified in the studied population.

Publication Details

Journal
Bulletin of KSAU
Published
2025-09-26
DOI
https://doi.org/10.36718/1819-4036-2025-9-175-184
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GENETIC CHARACTERISTICS OF THE YAKUT HORSE YANA TYPE

Bulletin of KSAU
Diverse Scientific and Economic Studies
article

GENETIC CHARACTERISTICS OF THE YAKUT HORSE YANA TYPE

article en

Abstract

The aim of the study is to assess genetic variability in the population of Yakut horses of the Yana intrabreed type using an extended panel of STR loci, as well as to study the polymorphism of the ASIP, MC1R and STX17 genes that control the characteristics of hair pigmentation. The total number of animals examined was 55. Horses were tested using 25 autosomal STR loci (AHT4, AHT5, ASB2, ASB17, ASB23, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG6, HTG7, HTG10, TKY279, TKY287, TKY321, TKY343, TKY344, TKY294, TKY325, TKY333, TKY341, TKY394, VHL20) and one locus located on the X chromosome (LEX3). Analysis of the genetic structure of the Yana horse population by STR loci showed a high level of genetic variability. The total number of alleles found in 26 studied loci was 208, of which 67 alleles were rare. The average number of effective alleles was 4.69 per locus. The average values of expected (He) and observed (Ho) heterozygosity, taking into account the 25 studied autosomal loci, were 0.762 and 0.761, respectively. A study of the polymorphism of genes controlling hair pigmentation showed that the frequency of the mutant variant of the ASIP gene in the group of Yana horses was 0.500, the frequency of the mutant variant of the MC1R gene was 0.327. The dominant mutation of the STX17 gene, associated with the gray phenotype, was found in 56.36 % of the tested animals. Taking into account the results of testing for 3 genes controlling pigmentation, 14 different genotype variants were identified in the studied population.

Bulletin of KSAUVol. 0(9)
Openalex Percentile: Top 31%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.