Protein interaction mapping reveals widespread targeting of development-related host transcription factors by phytoplasma effectors
Protein interaction mapping reveals widespread targeting of development-related host transcription factors by phytoplasma effectors
复制标题
DOI：
10.1111/tpj.16546
复制
发表时间：
2023-11-15
期刊：
影响因子：
7.2
通讯作者：
Immink, Richard G. H.
中科院分区：
文献类型：
--
作者：
Correa Marrero, Miguel;Capdevielle, Sylvain;Immink, Richard G. H.
植原体是病原菌，它们为了自身利益而重新编程植物宿主的发育。先前的研究已经描述了几种不同的植原体效应蛋白，这些蛋白会破坏特定植物转录因子的稳定性。然而，这些只是植原体使用的潜在效应器的一小部分；因此，植原体调节宿主的分子机制需要进一步研究。为了进一步了解植原体感染机制，我们在广泛的植原体效应子和大量、无偏见的拟南芥转录因子和转录调节子之间建立了一个蛋白质-蛋白质相互作用网络。我们发现植原体效应子和宿主转录因子之间存在广泛但特定的相互作用，特别是与宿主发育过程相关的相互作用。特别是，许多不相关的效应子针对特定的 TCP 转录因子组，这些转录因子调节植物发育和免疫。与其他宿主-病原体蛋白相互作用网络的比较表明，植原体效应子具有不寻常的靶标，表明植原体已经进化出独特且不寻常的感染策略。这项研究提供了丰富而可靠的数据源，可以指导对个体效应器功能的进一步研究，正如本文中的一些例子所证明的那样。此外，该数据集还提供了对植原体感染的潜在分子机制的见解。
Phytoplasmas are pathogenic bacteria that reprogram plant host development for their own benefit. Previous studies have characterized a few different phytoplasma effector proteins that destabilize specific plant transcription factors. However, these are only a small fraction of the potential effectors used by phytoplasmas; therefore, the molecular mechanisms through which phytoplasmas modulate their hosts require further investigation. To obtain further insights into the phytoplasma infection mechanisms, we generated a protein-protein interaction network between a broad set of phytoplasma effectors and a large, unbiased collection of Arabidopsis thaliana transcription factors and transcriptional regulators. We found widespread, but specific, interactions between phytoplasma effectors and host transcription factors, especially those related to host developmental processes. In particular, many unrelated effectors target specific sets of TCP transcription factors, which regulate plant development and immunity. Comparison with other host-pathogen protein interaction networks shows that phytoplasma effectors have unusual targets, indicating that phytoplasmas have evolved a unique and unusual infection strategy. This study contributes a rich and solid data source that guides further investigations of the functions of individual effectors, as demonstrated for some herein. Moreover, the dataset provides insights into the underlying molecular mechanisms of phytoplasma infection.