Genetic Susceptibility to Ketosis in Cattle: Current State of Research
- 作者: Sokolova O.1, Bytov M.1, Belousov A.1, Bezborodova N.1, Zubareva V.1, Martynov N.1, Zaitseva O.1, Shkuratova I.1
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隶属关系:
- Ural Federal Agrarian Scientific Research Centre, Ural Branch of Russian Academy of Sciences
- 期: 卷 59, 编号 3 (2023)
- 页面: 294-307
- 栏目: ОБЗОРНЫЕ И ТЕОРЕТИЧЕСКИЕ СТАТЬИ
- URL: https://journals.rcsi.science/0016-6758/article/view/134566
- DOI: https://doi.org/10.31857/S0016675823030116
- EDN: https://elibrary.ru/IQMSXQ
- ID: 134566
如何引用文章
详细
High-yield productivity in dairy cows is due to intense functioning of all organs and organism systems, that predisposes animals to various forms of disorders of metabolic processes. Progress of energy disbalance in high-yield dairy cows during lactation contributes to the development of systemic metabolic disorders, negatively affecting milk production and reproductive potential of animals. Interest in breeding ketosis resistant cattle is global and finding of mutations, gene variants and molecular and genetic processes contributing to one or another phenotype are considered as key steps in understanding a degree of susceptibility to ketosis. These steps will also give an insight in etiology of ketosis and provide basis for designing novel effective breeding programs. In this paper we present an overview of studies based on genetic and molecular research methods in finding genetic markers of cattle ketosis development. We discuss comprehensive SNPs localization of GWAS meta-analysis data, protein-protein interactions of associated with SNPs candidate genes via STRING, as well as SNPs annotation of associated biological processes. We provide candidate gene expression profiles for associated with ketosis tissues based on human data with GTEx tool.
作者简介
O. Sokolova
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
编辑信件的主要联系方式.
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
M. Bytov
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
A. Belousov
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
N. Bezborodova
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
V. Zubareva
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
N. Martynov
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
O. Zaitseva
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
I. Shkuratova
Ural Federal Agrarian Scientific Research Centre, Ural Branchof Russian Academy of Sciences
Email: nauka_sokolova@mail.ru
Russia, 620142, Ekaterinburg
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