Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium.
Center for Plant Systems Biology, VIB, 9052 Ghent, Belgium.
Int J Mol Sci. 2023 May 23;24(11):9125. doi: 10.3390/ijms24119125.
Plants are colonized by various fungi with both pathogenic and beneficial lifestyles. One type of colonization strategy is through the secretion of effector proteins that alter the plant's physiology to accommodate the fungus. The oldest plant symbionts, the arbuscular mycorrhizal fungi (AMF), may exploit effectors to their benefit. Genome analysis coupled with transcriptomic studies in different AMFs has intensified research on the effector function, evolution, and diversification of AMF. However, of the current 338 predicted effector proteins from the AM fungus , only five have been characterized, of which merely two have been studied in detail to understand which plant proteins they associate with to affect the host physiology. Here, we review the most recent findings in AMF effector research and discuss the techniques used for the functional characterization of effector proteins, from their in silico prediction to their mode of action, with an emphasis on high-throughput approaches for the identification of plant targets of the effectors through which they manipulate their hosts.
植物被各种具有致病性和有益生活方式的真菌定殖。一种定殖策略是通过分泌效应蛋白来改变植物的生理机能,以适应真菌。最古老的植物共生体——丛枝菌根真菌(AMF),可能会利用效应蛋白来谋取利益。在不同 AMF 中进行的基因组分析和转录组研究,已经加强了对 AMF 效应子功能、进化和多样化的研究。然而,在目前预测的 338 种 AM 真菌效应蛋白中,仅有 5 种得到了表征,其中仅有 2 种被详细研究,以了解它们与哪些植物蛋白结合来影响宿主生理学。在这里,我们回顾了 AMF 效应子研究的最新发现,并讨论了用于效应蛋白功能表征的技术,从它们的计算机预测到它们的作用模式,重点介绍了通过高通量方法识别效应子操纵宿主的植物靶标。