全球蛋白质互动原子映射在米使用条码索引PCR结合HiFi长读序列测序
Xixi Liu1, Dandan Xia2, Jinjin Luo1
1State Key Lab of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, 311400, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|January 22, 2025
概括
一种名为BIP-seq的新方法能够有效地识别成千上万种大米蛋白与蛋白相互作用 (PPI). 这种高通量方法显著扩大了功能基因组学研究的米互动组.
科学领域:
- 植物生物学 植物生物学
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 蛋白与蛋白相互作用 (PPI) 网络对于理解功能基因组学至关重要.
- 有限的高通量,可靠和成本效益的方法阻碍了米互动组研究.
研究的目的:
- 开发一种新的管道,用于在大米中识别高通量蛋白-蛋白相互作用.
- 为功能基因组学研究建立一个全面的米互动组数据集.
主要方法:
- 开发一个带条码索引的PCR,加上HiFi长读测序管道 (BIP-seq).
- 集成图书馆与图书馆Y2H交配,半机械化双条码索引酵母殖民地PCR和大规模的PacBio测序.
- 使用双分子光补充 (BiFC) 进行高可靠性验证.
主要成果:
- BIP-seq在两个月内绘制了超过15,000个高可信度大米PPI,其中约62.5%由BiFC验证.
- 总共确定了23032种米PPI,其中包括22665种新发现的相互作用.
- 显著扩展了现有的米PPI数据集,并提供了全面的网络概述.
结论:
- BIP-seq是一种高效且可扩展的方法来识别PPI,其性能优于现有的技术.
- 扩展的米互动基因组数据集是推动米功能基因组学的宝贵资源.
- 这项研究为深入了解大米的生物过程和作物改进提供了基础.
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