A Genome-Wide Search of New Meat Productivity Candidate Genes in North Caucasian Meat and Wool Sheep Breed
- Authors: Krivoruchko A.Y.1,2, Zuev R.V.2, Surov A.I.1, Skokova A.V.1, Kanibolotskaya A.A.1, Likhovid A.A.2, Yatsyk O.A.1
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Affiliations:
- North Caucasian Federal Scientific Agrarian Center
- North Caucasian Federal University
- Issue: Vol 59, No 5 (2023)
- Pages: 562-572
- Section: ГЕНЕТИКА ЖИВОТНЫХ
- URL: https://journals.rcsi.science/0016-6758/article/view/134589
- DOI: https://doi.org/10.31857/S0016675823050090
- EDN: https://elibrary.ru/FNVKYA
- ID: 134589
Cite item
Abstract
The search for new genes that affect the growth and development of muscle tissue and associated with meat productivity traits in sheep is an actual task. The implementation of this is inextricably linked with the prospects for the development of marker-assisted and genomic selection. Research presents data of new approach in the detection of candidate genes for sheep meat productivity. Animal genotyping was performed using Ovine Infinium HD BeadChip 600K DNA, association search was performed using PLINK v1.07 software. As a result of the work, identified SNPs that were significantly associated with phenotypic traits directly related to the level of meat productivity in the North-Caucasian meat and wool sheep: height at the withers, live weight at birth, thickness of adipose tissue, width of the muscle “eye”. To search for candidate genes, 19 polymorphisms with the highest association reliability were selected. Determining the location of the analyzed SNPs made it possible to identify 16 new candidate genes associated with lifetime meat productivity traits in North-Caucasian meat and wool sheep: CILK1, ENO4, CTPS2, GABRB2, SLC44A1, C12ORF45, SLC41A2, CASD1, SINE2, SLC35F1, RP, SH3KBP1, LRRIQ1, SWAP70, THBS1 and FSIP. Animal genotyping for these genes should be used in marker-associated breeding to improve sheep meat productivity and study their effect on the phenotype.
About the authors
A. Yu. Krivoruchko
North Caucasian Federal Scientific Agrarian Center; North Caucasian Federal University
Author for correspondence.
Email: rcvm@yandex.ru
Russia, 356241, Stavropol Krai, Mikhailovsk; Russia, 355017, Stavropol
R. V. Zuev
North Caucasian Federal University
Email: rcvm@yandex.ru
Russia, 355017, Stavropol
A. I. Surov
North Caucasian Federal Scientific Agrarian Center
Email: rcvm@yandex.ru
Russia, 356241, Stavropol Krai, Mikhailovsk
A. V. Skokova
North Caucasian Federal Scientific Agrarian Center
Email: rcvm@yandex.ru
Russia, 356241, Stavropol Krai, Mikhailovsk
A. A. Kanibolotskaya
North Caucasian Federal Scientific Agrarian Center
Email: rcvm@yandex.ru
Russia, 356241, Stavropol Krai, Mikhailovsk
A. A. Likhovid
North Caucasian Federal University
Email: rcvm@yandex.ru
Russia, 355017, Stavropol
O. A. Yatsyk
North Caucasian Federal Scientific Agrarian Center
Email: rcvm@yandex.ru
Russia, 356241, Stavropol Krai, Mikhailovsk
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