Characterization of the Effector Candidate Repertoire in the Arbuscular Mycorrhizal Fungus Rhizophagus irregularis
Yi Huang, Lumei Bi, Ying Zhu, Li Chen, Ruifeng Yao

TL;DR
This study identifies and characterizes effector proteins in the arbuscular mycorrhizal fungus Rhizophagus irregularis, revealing their potential roles in plant-fungus symbiosis and immune evasion.
Contribution
Systematic identification and characterization of 227 effector candidates in Rhizophagus irregularis using machine learning and functional assays.
Findings
Most R. irregularis effectors are predicted to localize in the cytoplasm, suggesting roles in symbiotic development.
A chitin deacetylase effector, RiPDA1, was found to localize in the apoplast and bind chitin, potentially aiding symbiosis.
Effectors from different microbial species show high species specificity, with distinct clustering patterns.
Abstract
The majority of terrestrial plants can interact with arbuscular mycorrhizal fungi (AMF) to form symbiotic relationships. AMF colonization not only enhances the host plant’s uptake of mineral nutrients but also improves its tolerance to biotic and abiotic stresses. In return, the host plant supplies the AMF with carbon sources essential for completing its life cycle. How AMF overcome the plant immune system to successfully establish symbiosis has remained an unresolved question. During colonization, AMF also secrete effector proteins, similar to how pathogenic fungi utilize effectors to promote virulence. In this study, we employed machine learning models such as SignalP 6.0 and EffectorP 3.0 to predict potential effectors in Rhizophagus irregularis, leading to the identification of 227 effector candidates. Using EffectorP 3.0, ApoplastP, and LOCALIZER, most R. irregularis effectors were…
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Taxonomy
TopicsMycorrhizal Fungi and Plant Interactions · Plant-Microbe Interactions and Immunity · Fungal and yeast genetics research
