生物信息学方法用于识别动物基因组中的致病误解多态
Mykyta Peka1,2, Viktor Balatsky3
1Institute of Pig Breeding and Agroindustrial Production, National Academy of Agrarian Sciences of Ukraine, 1 Shvedska Mohyla St, Poltava, 36013, Ukraine. pekapoltava@gmail.com.
BMC genomics
|December 20, 2024
概括
生物信息分析区分了影响畜牧生产特征的中性和致病性遗传多态. 这种方法有助于识别关键的遗传标记,以改善动物繁殖和猪和奶牛的基因组选择.
科学领域:
- 动物遗传学动物遗传学
- 生物信息学是一种生物信息学.
- 基因组选择 基因组选择
背景情况:
- 遗传标记在家畜的基因组和标记器辅助选择中至关重要.
- 识别致病多态度可以提高基因型-表型关联的准确性.
- 对误解多态的生物信息分析提供了一种有前途的方法,可以精确确定致病变体.
研究的目的:
- 应用生物信息学方法来评估和区分基于因果关系的多态.
- 研究影响猪和奶牛生产特征的基因.
- 评估误解多态对蛋白质结构和功能的影响.
主要方法:
- 在关键基因 (猪的MC4R,NR6A1,PRKAG3,RYR1,SYNGR2;牛的ABCG2,DGAT1,GHR,MSTN) 中错误多态的生物信息分析.
- 评估对蛋白质功能的影响,考虑进化和物理化学氨基酸性质.
- 对三级蛋白质结构稳定性,折叠,单体结合和连接体相互作用的影响的评估.
主要成果:
- 评估了在选定的猪和牛基因中已知的致病性和候选误解多态性.
- 分析了多形态对蛋白质功能和三级结构稳定性的影响.
- 考虑了氨基酸替代的进化和物理化学特征.
结论:
- 开发了一种生物信息学方法来区分中性和致病多态.
- 因果性多态性显著影响蛋白质的结构和功能.
- 这种方法可以选动物基因组多态性为关联研究.
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