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Ahn, Hee-Kyung 
ORCID: https://orcid.org/0000-0002-8884-0156, Lin, Xiao, Olave-Achury, Andrea Carolina, Derevnina, Lida, Contreras, Mauricio P., Kourelis, Jiorgos ORCID: https://orcid.org/0000-0002-9007-1333, Wu, Chih-Hang, Kamoun, Sophien ORCID: https://orcid.org/0000-0002-0290-0315 and Jones, Jonathan D. G.
(2023)
Effector-dependent activation and oligomerization of plant NRC class helper NLRs by sensor NLR immune receptors Rpi-amr3 and Rpi-amr1.
EMBO Journal, 42 (5).
ISSN 0261-4189
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Abstract
Plant pathogens compromise crop yields. Plants have evolved robust innate immunity that depends in part on intracellular Nucleotide-binding, Leucine rich-Repeat (NLR) immune receptors that activate defense responses upon detection of pathogen-derived effectors. Most “sensor” NLRs that detect effectors require the activity of “helper” NLRs, but how helper NLRs support sensor NLR function is poorly understood. Many Solanaceae NLRs require NRC (NLR-Required for Cell death) class of helper NLRs. We show here that Rpi-amr3, a sensor NLR from Solanum americanum, detects AVRamr3 from the potato late blight pathogen, Phytophthora infestans, and activates oligomerization of helper NLRs NRC2 and NRC4 into high-molecular-weight resistosomes. In contrast, recognition of P. infestans effector AVRamr1 by another sensor NLR Rpi-amr1 induces formation of only the NRC2 resistosome. The activated NRC2 oligomer becomes enriched in membrane fractions. ATP-binding motifs of both Rpi-amr3 and NRC2 are required for NRC2 resistosome formation, but not for the interaction of Rpi-amr3 with its cognate effector. NRC2 resistosome can be activated by Rpi-amr3 upon detection of AVRamr3 homologs from other Phytophthora species. Mechanistic understanding of NRC resistosome formation will underpin engineering crops with durable disease resistance.
| Item Type: | Article |
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| Additional Information: | Acknowledgements: We thank members of the Jones lab and the Kamoun lab for their helpful comments and discussions. H‐KA thanks Adam Bentham for his support on protein structure prediction data analysis. We would like to thank Timothy Wells, from Horticultural Services at John Innes Centre, for excellent care of the plants. We also wish to thank the TSL Synbio team and the TSL bioinformatics team for their support as well as all TSL support services. H‐KA was supported by the ERC Advanced Grant “ImmunitybyPairDesign”. XL and ACO‐A were supported by BBSRC grant BB/P021646/1. JDGJ received core funding from Gatsby Charitable Foundation. |
| Uncontrolled Keywords: | blue native-page,nlr activation,nrc,plant immunity,rpi-amr,neuroscience(all),molecular biology,biochemistry, genetics and molecular biology(all),immunology and microbiology(all) ,/dk/atira/pure/subjectarea/asjc/2800 |
| Faculty \ School: | Faculty of Science > The Sainsbury Laboratory Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Dec 2023 01:46 |
| Last Modified: | 01 Feb 2024 03:07 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93894 |
| DOI: | 10.15252/embj.2022111484 |
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