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Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins.


ABSTRACT: NLR proteins are intracellular receptors constituting a conserved component of the innate immune system of cellular organisms. In fungi, NLRs are characterized by high diversity of architectures and presence of amyloid signaling. Here, we explore the diverse world of effector and signaling domains of fungal NLRs using state-of-the-art bioinformatic methods including MMseqs2 for fast clustering, probabilistic context-free grammars for sequence analysis, and AlphaFold2 deep neural networks for structure prediction. In addition to substantially improving the overall annotation, especially in basidiomycetes, the study identifies novel domains and reveals the structural similarity of MLKL-related HeLo- and Goodbye-like domains forming the most abundant superfamily of fungal NLR effectors. Moreover, compared to previous studies, we found several times more amyloid motif instances, including novel families, and validated aggregating and prion-forming properties of the most abundant of them in vitro and in vivo. Also, through an extensive in silico search, the NLR-associated amyloid signaling was identified in basidiomycetes. The emerging picture highlights similarities and differences in the NLR architectures and amyloid signaling in ascomycetes, basidiomycetes and other branches of life.

SUBMITTER: Wojciechowski JW 

PROVIDER: S-EPMC9815663 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins.

Wojciechowski Jakub W JW   Tekoglu Emirhan E   Gąsior-Głogowska Marlena M   Coustou Virginie V   Szulc Natalia N   Szefczyk Monika M   Kopaczyńska Marta M   Saupe Sven J SJ   Dyrka Witold W  

PLoS computational biology 20221221 12


NLR proteins are intracellular receptors constituting a conserved component of the innate immune system of cellular organisms. In fungi, NLRs are characterized by high diversity of architectures and presence of amyloid signaling. Here, we explore the diverse world of effector and signaling domains of fungal NLRs using state-of-the-art bioinformatic methods including MMseqs2 for fast clustering, probabilistic context-free grammars for sequence analysis, and AlphaFold2 deep neural networks for str  ...[more]

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