Abstract
The plant immune system relies on germline-encoded pattern recognition receptors (PRRs) that sense foreign and plant-derived molecular patterns, and signal health threats. Genomic and pangenomic data sets provide valuable insights into the evolution of PRRs and their molecular triggers, which is furthering our understanding of plant–pathogen co-evolution and convergent evolution. Moreover, in silico and in vivo methods of PRR identification have accelerated the characterization of receptor–ligand complexes, and advances in protein structure prediction algorithms are revealing novel PRR sensor functions. Harnessing these recent advances to engineer PRRs presents an opportunity to enhance plant disease resistance against a broad spectrum of pathogens, enabling more sustainable agricultural practices. This Review summarizes both established and innovative approaches to leverage genomic data and translate resulting evolutionary insights into engineering PRR recognition specificities.
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Detailed methods and results of the synteny analysis depicted in Fig. 2 can be found within the Supplementary information.
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Acknowledgements
The authors thank members of the Zipfel laboratory for useful discussions. C.Z. is thankful for support from the Gatsby Charitable Foundation, the University of Zurich, the Zurich-Basel Plant Science Center, the European Research Council and the Swiss National Science Foundation. O.J. is the recipient of a Walter Benjamin Fellowship from the Deutsche Forschungsgemeinschaft (Fellowship ID: 537740606).
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S.S., O.J. and C.Z. substantially contributed to discussions of the content. S.S. and O.J. researched the literature and wrote the review. T.N. and C.Z. reviewed and/or edited the manuscript before submission.
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C.Z. is a member of the Scientific Advisory Board of the non-for-profit 2Blades foundation and has received funding from industry on the identification and engineering of plant PRRs. T.N. has received funding from industry for the identification of plant PRRs. The other authors declare no competing interests.
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Snoeck, S., Johanndrees, O., Nürnberger, T. et al. Plant pattern recognition receptors: from evolutionary insight to engineering. Nat Rev Genet 26, 268–278 (2025). https://doi.org/10.1038/s41576-024-00793-z
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DOI: https://doi.org/10.1038/s41576-024-00793-z