Genomic Characterization of the Kazakh Fat-Tailed Coarse-Wool Sheep Breed Using ROH Analysis

Sheep breeding is an important sector of livestock production in the Republic of Kazakhstan. The Kazakh fat-tailed coarse-wool sheep holds a prominent position among local breeds due to its high meat productivity, resilience to extreme climatic conditions, and efficient use of pasture resources. This study focuses on the analysis of runs of homozygosity (ROH) to evaluate the genetic diversity level, inbreeding and to detect selection signatures in the Kazakh fat-tailed coarse-wool sheep breed. A total of 500 animals were genotyped using the OvineSNP50 BeadChip (Illumina, San Diego, CA, USA). As a result, a total of 41,728 ROH segments were identified, with an average length of 1.59 Mb, distributed across the entire genome. The most prominent homozygous regions were detected on chromosomes OAR10, OAR13, and OAR22, which might be associated with selection signatures. Genomic inbreeding coefficients (F<sub>ROH</sub> and F<sub>GRM</sub>) showed a strong positive correlation (<i>r</i> = 0.58, <i>p</i> < 0.001), supporting the effectiveness of ROH-based analysis. Several candidate genes were detected, including <i>MYF5</i>, <i>PRDM16</i>, <i>TGM3</i>, <i>SLC26A4</i> and <i>SMAD5</i> which are notably involved in muscle formation, wool traits, and fat metabolism. The findings have substantial practical value for breeding programs and for managing genetic diversity in sheep farming enterprises in the Republic of Kazakhstan.

Authors

Institutions

Publication Details

Journal
Animals
Published
2025-09-16
DOI
https://doi.org/10.3390/ani15182714
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genomic Characterization of the Kazakh Fat-Tailed Coarse-Wool Sheep Breed Using ROH Analysis

Beibit Turganbekovich Kulatayev, Utepbergen Bissenov, Kairat Dossybayev, Кanagat Yergali et al.
Animals
Genetic and phenotypic traits in livestock
article

Genomic Characterization of the Kazakh Fat-Tailed Coarse-Wool Sheep Breed Using ROH Analysis

Beibit Turganbekovich Kulatayev, Utepbergen Bissenov, Kairat Dossybayev, Кanagat Yergali, Zhanerke Akhatayeva, Aibyn Torekhanov, Altynay Kozhakhmet, Tilek Kapassuly, Xianyong Lan, Marina Yermekova
article en

Abstract

Sheep breeding is an important sector of livestock production in the Republic of Kazakhstan. The Kazakh fat-tailed coarse-wool sheep holds a prominent position among local breeds due to its high meat productivity, resilience to extreme climatic conditions, and efficient use of pasture resources. This study focuses on the analysis of runs of homozygosity (ROH) to evaluate the genetic diversity level, inbreeding and to detect selection signatures in the Kazakh fat-tailed coarse-wool sheep breed. A total of 500 animals were genotyped using the OvineSNP50 BeadChip (Illumina, San Diego, CA, USA). As a result, a total of 41,728 ROH segments were identified, with an average length of 1.59 Mb, distributed across the entire genome. The most prominent homozygous regions were detected on chromosomes OAR10, OAR13, and OAR22, which might be associated with selection signatures. Genomic inbreeding coefficients (F<sub>ROH</sub> and F<sub>GRM</sub>) showed a strong positive correlation (<i>r</i> = 0.58, <i>p</i> < 0.001), supporting the effectiveness of ROH-based analysis. Several candidate genes were detected, including <i>MYF5</i>, <i>PRDM16</i>, <i>TGM3</i>, <i>SLC26A4</i> and <i>SMAD5</i> which are notably involved in muscle formation, wool traits, and fat metabolism. The findings have substantial practical value for breeding programs and for managing genetic diversity in sheep farming enterprises in the Republic of Kazakhstan.

AnimalsVol. 15(18)
Al-Farabi Kazakh National University (KZ), Kazakh Scientific Research Veterinary Institute (KZ), Chinese Academy of Agricultural Sciences (CN), Khalel Dosmukhamedov Atyrau University (KZ), Institute of Grassland Research (CN), Northwest A&F University (CN)
Ministry of Education and Science of the Republic of Kazakhstan
Openalex Percentile: Top 73%
Genetic and phenotypic traits in livestock
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.