Project Manager
Bimenova Zhanat
Academic degree, title: PhD, Associate Professor
Scopus Author ID: 57208345895
Researcher ID: GRS-4515-2022
ORCID: 0000-0002-1660-8040
About the project
Relevance
Sequencing data on two Kazakh horse breeds will allow to fully identify unique traces of selection and adaptation that are characteristic of Kazakh horse breeds, also breed-specific.
Objective
The aim of the project is to preserve the gene pool of Kazakh horse breed populations using full-genome sequencing, search for traces of selection in horse genomes, identify specific genetic variants and a balanced system of genes and alleles that cause breed specificity associated with exterior features, productivity, viability, resistance of animals.
Expected and achieved results
A comparative analysis of the Kazakh horse genome sequences of the Zhabe type and Mugalzhar breed with genomes of other horse breeds will be carried out, unique nucleotide substitutions and deletions/insertions characteristic of Kazakh horses will be searched and genetic passports of Kazakh horse breeds will be created. Gene and conserved regulatory DNA sequences as well as breed-specific mutations under selection for each of the Kazakh horse breeds will be identified and their associations with phenotypic data will be determined. Mutations or haplotypes that are markers of productivity will be recommended for use in horse breeding.
According to the results of scientific research on the project will be published 2 (two) articles in peer-reviewed scientific publications, indexed in Science Citation Index Expanded of Web of Science database and (or) having a percentile on CiteScore in Scopus database not less than 65 (sixty five), as well as 2 (two) articles in a peer-reviewed foreign or domestic publication.
List of publications (with references to them) and patents
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Information for potential users
Gene and conserved regulatory DNA sequences, as well as breed-specific mutations under selection for each of the Kazakh horse breeds will be identified and their associations with phenotypic data will be determined, which will be recommended for use in horse breeding mutations or haplotypes that are markers of productivity.
