National Agri-Food Biotechnology Institute (NABI), Mohali, Punjab, 140306, India; Department of Microbiology, Panjab University, Chandigarh, Punjab, 160014, India.
ICAR-National Institute for Plant Biotechnology, Pusa Campus New Delhi, 110012, India.
Microbiol Res. 2020 Dec;241:126567. doi: 10.1016/j.micres.2020.126567. Epub 2020 Aug 23.
The interaction of fungal pathogens with their host requires a novel invading mechanism and the presence of various virulence-associated components responsible for promoting the infection. The small secretory proteins, explicitly known as effector proteins, are one of the prime mechanisms of host manipulation utilized by the pathogen to disarm the host. Several effector proteins are known to translocate from fungus to the plant cell for host manipulation. Many fungal effectors have been identified using genomic, transcriptomic, and bioinformatics approaches. Most of the effector proteins are devoid of any conserved signatures, and their prediction based on sequence homology is very challenging, therefore by combining the sequence consensus based upon machine learning features, multiple tools have also been developed for predicting apoplastic and cytoplasmic effectors. Various post-genomics approaches like transcriptomics of virulent isolates have also been utilized for identifying active consortia of effectors. Significant progress has been made in understanding biotrophic effectors; however, most of it is underway due to their complex interaction with host and complicated recognition and signaling networks. This review discusses advances, and challenges in effector identification and highlighted various features of the potential effector proteins and approaches for understanding their genetics and strategies for regulation.
真菌病原体与宿主的相互作用需要一种新的入侵机制和存在各种与毒力相关的成分,这些成分负责促进感染。小分泌蛋白,明确称为效应蛋白,是病原体用于削弱宿主的一种主要的宿主操纵机制。已知几种效应蛋白从真菌转移到植物细胞以进行宿主操纵。已经使用基因组学、转录组学和生物信息学方法鉴定了许多真菌效应蛋白。大多数效应蛋白没有任何保守特征,基于序列同源性的预测非常具有挑战性,因此通过结合基于机器学习特征的序列共识,也已经开发了多种工具来预测质外体和细胞质效应蛋白。还利用类似有性分离物转录组学的各种后基因组学方法来识别效应子的活性协同作用。在理解生物营养型效应子方面已经取得了重大进展;然而,由于它们与宿主的复杂相互作用以及复杂的识别和信号转导网络,大部分研究仍在进行中。本文讨论了效应子鉴定的进展和挑战,并强调了潜在效应蛋白的各种特征以及理解其遗传学和调控策略的方法。