用图形泛基因组学来描述结构变异对Brassica napus中的基因表达的影响
Gözde Yildiz1, Silvia F Zanini2, Sven Weber3
1Department of Agrobioinformatics, IFZ Research Center for Biosystems, Land Use and Nutrition, Justus Liebig University, Heinrich Buff Ring 26-32, 35392, Giessen, Germany.
概括
泛基因组图显示结构变异 (SV),特别是可转移的元素,显著影响油菜的基因表达. 这种方法改善了基因型和表达分析,捕捉了SNP-only研究错过的遗传关系.
科学领域:
- 基因组学就是基因组学.
- 植物科学 植物科学
- 生物信息学是一种生物信息学.
背景情况:
- 结构变异 (SVs) 影响重要植物特征,但它们对基因表达的影响尚未完全理解.
- 泛基因组图提供了一个强大的框架来捕捉人口层面的遗传多样性,包括SVs,超越单个参考基因组.
- 表达量的特征位点 (eQTL) 分析传统上依赖于单核酸多态 (SNP),可能会忽视 SV 贡献.
研究的目的:
- 评估SVs对Brassica napus (油菜) 的基因表达调节的影响.
- 探索泛基因组图的实用性,用于人口规模的SV基因型定型和eQTL分析.
- 识别与基因表达变异相关的SV,并了解它们对复杂特征的贡献.
主要方法:
- 结合了来自57个油菜样本的长和短读全基因组测序数据.
- 构建了一个泛基因组图表来表示种群多样性,并使SV基因定型成为可能.
- 执行了转录表达量的量化,并使用100个表达式数据集识别了cis-SV-eQTL.
主要成果:
- 发现了超过9万个SV,超过70%的已识别的eQTL-SV与可转移元素 (TE) 相关,特别是Helitrons.
- 鉴定了267个基因近位 (cis) SV-eQTLs,其中很大一部分位于促进器区域.
- 发现大约三分之一与SVs相关的转录没有链接的SNP,突出了SVs对表达变化的独特贡献.
结论:
- 泛基因组图为人口规模的SV基因型和基因表达量化提供了统一的框架,推进了eQTL分析.
- 结构变异,特别是TEs,对冬季油菜的基因表达变异有显著的贡献,影响了关键的农学特征.
- 将SV集成到遗传分析中,可以捕捉到基于SNP的方法错过的关键监管关系,从而更深入地了解特征遗传性.
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