通过对转录因子结合部位的大规模分析,探索玉米转录监管格局
Qiang Huo1, Ziru Zhang1, Kechun Zhang1
1, State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, Joint International Research Laboratory of Crop Molecular Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Molecular plant
|August 14, 2025
概括
这项研究绘制了玉米中成千上万个转录因子结合点的地图,创建了迄今为止最大的数据集. 本资源有助于理解基因调节,以改善玉米的育种和作物发展.
科学领域:
- 植物分子生物学 植物分子生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 基因调节网络 (GRNs) 对于玉米的改善至关重要,但由于转录因子 (TF) -DNA相互作用数据有限,人们对其了解甚少.
- 准确的GRN预测对于推进玉米等作物的分子育种策略至关重要.
研究的目的:
- 为了生成玉米转录因子 (TF) 结合部位的全面数据集.
- 构建一个优化和准确的玉米基因调节网络 (mGRN+).
- 为玉米基因功能研究和作物改良提供有价值的资源.
主要方法:
- 在513个玉米TF中对TF结合点进行大规模实验分析.
- 整合染色质可访问性和基因表达数据来构建mGRN+.
- 机器学习算法的应用用于网络优化和验证.
主要成果:
- 确定394,136个TF绑定站点,并建立397,699个监管关系的mGRN+.
- 在6个主要的玉米组织中,将mGRN+划分为组织特定的模块.
- 使用独立的遗传实验对基因功能和关键调节者的验证预测.
结论:
- 这项研究提供了迄今为止在玉米中最广泛的实验TF结合点集合.
- 优化的mGRN+为预测调节关系和基因功能提供了更高的准确性.
- 生成的数据和网络作为玉米功能基因组学和育种计划的关键资源.
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