ArticleBMC veterinary research2021
Signature selection analysis reveals candidate genes associated with production traits in Iranian sheep breeds.
Article in BMC veterinary research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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45 citing papers in PubMed, 88 citations in OpenAlex.
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- Population structure, regions of homozygosity (ROH) and selection signal of two domesitic goat breeds revealed by whole-genome resequencing.BMC genomics · 2026Article
- Comparative detection of selection signatures in indigenous and crossbred Turkish sheep breeds.Scientific reports · 2025Article
- A comprehensive genome-wide analysis for signatures of selection in goat (genus Capra) revealed new candidate genes for environmental adaptation and productive traits.BMC genomics · 2025Article
- A Functional Regulatory Variant ofAnimals : an open access journal from MDPI · 2025Article
- Exploring the polygenic landscape of wool traits in Turkish Merinos through multi-locus GWAS approaches: middle Anatolian Merino.Scientific reports · 2025Article
- Potential Genetic Markers Associated with Environmental Adaptability in Herbivorous Livestock.Animals : an open access journal from MDPI · 2025Review
- Undernutrition disrupts jejunal and ileal microbiota and epithelial tissue homeostasis in a pregnant sheep model.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025Article
- The accumulation of harmful genes within the ROH hotspot regions of the Tibetan sheep genome does not lead to genetic load.BMC genomics · 2025Article
- Androgen Signaling in Prostate Cancer: When a Friend Turns Foe.Endocrine, metabolic & immune disorders drug targets · 2025Review
- OvineArchives animal breeding · 2025Article
- Whole-genome resequencing to investigate the genetic diversity and mechanisms of plateau adaptation in Tibetan sheep.Journal of animal science and biotechnology · 2024Article
- Integrated analysis of intestinal microbial community and muscle transcriptome profile in rabbits.Animal biotechnology · 2024Article
- Morpometric and molecular characterization of Surguli goat through CO1 gene in district Kohat.Animal biotechnology · 2024Article
- Genetic diversity of United States Rambouillet, Katahdin and Dorper sheep.Genetics, selection, evolution : GSE · 2024Article
- A near complete genome assembly of the East Friesian sheep genome.Scientific data · 2024Article
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSheep were among the first animals to be domesticated. They are raised all over the world and produce a major scale of animal-based protein for human consumption and play an important role in agricultural economy. Iran is one of the important locations for sheep genetic resources in the world. Here, we compared the Illumina Ovine SNP50 BeadChip data of three Iranian local breeds (Moghani, Afshari and Gezel), as a population that does not undergone artificial breeding programs as yet, and five other sheep breeds namely East Friesian white, East Friesian brown, Lacaune, DorsetHorn and Texel to detect genetic mechanisms underlying economical traits and daptation to harsh environments in sheep.
resultsTo identify genomic regions that have been targeted by positive selection, we used fixation index (Fst) and nucleotide diversity (Pi) statistics. Further analysis indicated candidate genes involved in different important traits such as; wool production included crimp of wool (PTPN3, NBEA and KRTAP20-2 genes), fiber diameter (PIK3R4 gene), hair follicle development (LHX2 gene), the growth and development of fiber (COL17A1 gene)), adaptation to hot arid environments (CORIN gene), adaptive in deficit water status (CPQ gene), heat stress (PLCB4, FAM107B, NBEA, PIK3C2B and USP43 genes) in sheep.
conclusionsWe detected several candidate genes related to wool production traits and adaptation to hot arid environments in sheep that can be applicable for inbreeding goals. Our findings not only include the results of previous researches, but also identify a number of novel candidate genes related to studied traits. However, more works will be essential to acknowledge phenotype- genotype relationships of the identified genes in our study.
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