对于牛主要基因相容性复杂区域的四个目标重新排序. 概念验证的概念证明
Guillermo Giovambattista1,2, Arisa Kawamura3, Akane Ishida3
1Laboratory of Global Infectious Diseases Control Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
HLA
|February 24, 2025
概括
这项研究开发了一种具有成本效益的杂交捕获目标下一代测序方法,用于定型牛白细胞抗原 (BoLA) 基因. 该方法成功识别了众多SNP,indel和副本数变异,从而实现了准确的BoLA基因型定型.
科学领域:
- 兽医遗传学 兽医遗传学
- 免疫遗传学 免疫遗传学
- 下一代测序的测序方法
背景情况:
- 牛白细胞抗原 (BoLA) 基因具有高度多态性,并表现出拷贝数变异 (CNV),使全基因组再序列复杂化.
- 准确的BoLA基因型定型对于畜牧业和疾病耐药性研究至关重要.
研究的目的:
- 开发和验证一种混合捕获目标下一代测序 (NGS) 方法,以实现高效的BoLA区域再测序.
- 评估这种方法用于识别BoLA基因中的单核酸多态 (SNPs),indels和CNVs的实用性.
主要方法:
- 定制的探针组件的设计,用于对BoLADNA序列的杂交捕获.
- 使用有针对性的捕获测序构建DNA库和丰富.
- 使用开发的NGS方法和基于PCR序列的传统类型化 (SBT) 来对BoLA-DRB3进行基因型化.
- 从测序数据中分析SNP,indel和CNV.
主要成果:
- 开发的探头组 (BoLA2) 实现了高覆盖率 (90.8%) 和深度 (108次读取) 的BoLA重序.
- 确定了113,646个SNP和17,995个INDEL,与PCR-SBT相比,BoLA-DRB3基因型鉴定具有很高的一致性.
- 启用了多个BoLA类I和II基因的CNV分析,促进了哈普洛型的定义.
结论:
- 杂交捕获目标NGS是复杂的BoLA区域高通量基因型定型的成本效益高,准确的策略.
- 这种方法有助于研究牛群的遗传多样性,CNV和类型.
- 这种方法适用于牛群的大规模遗传研究.
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