Effector target-guided engineering of an integrated domain expands the disease resistance profile of a rice NLR immune receptor

Abstract
Editor's evaluation
Introduction
Results
Discussion
Materials and methods
Data availability
References
Article and author information
Metrics

Abstract

A subset of plant intracellular NLR immune receptors detect effector proteins, secreted by phytopathogens to promote infection, through unconventional integrated domains which resemble the effector’s host targets. Direct binding of effectors to these integrated domains activates plant defenses. The rice NLR receptor Pik-1 binds the Magnaporthe oryzae effector AVR-Pik through an integrated heavy metal-associated (HMA) domain. However, the stealthy alleles AVR-PikC and AVR-PikF avoid interaction with Pik-HMA and evade host defenses. Here, we exploited knowledge of the biochemical interactions between AVR-Pik and its host target, OsHIPP19, to engineer novel Pik-1 variants that respond to AVR-PikC/F. First, we exchanged the HMA domain of Pikp-1 for OsHIPP19-HMA, demonstrating that effector targets can be incorporated into NLR receptors to provide novel recognition profiles. Second, we used the structure of OsHIPP19-HMA to guide the mutagenesis of Pikp-HMA to expand its recognition profile. We demonstrate that the extended recognition profiles of engineered Pikp-1 variants correlate with effector binding in planta and in vitro, and with the gain of new contacts across the effector/HMA interface. Crucially, transgenic rice producing the engineered Pikp-1 variants was resistant to blast fungus isolates carrying AVR-PikC or AVR-PikF. These results demonstrate that effector target-guided engineering of NLR receptors can provide new-to-nature disease resistance in crops.

Editor's evaluation

Engineering NLR proteins to improve disease resistance in crop plants is a major goal of the field. This study applies knowledge from structural and evolutionary studies of the rice NLR protein Pik-1 and cognate effector protein AVR-Pik to engineering of new disease resistance genes. The authors nicely demonstrate that it is indeed possible to engineer resistance proteins with broad recognition specificity for the rice blast fungus. The work is of interest to colleagues in synthetic biology, protein engineering and plant-pathogen interactions.

https://doi.org/10.7554/eLife.81123.sa0

Introduction

Intracellular nucleotide-binding and leucine-rich repeat (NLR) domain-containing immune receptors are essential components of the plant innate immune system (Jones and Dangl, 2006; Jones et al., 2016). These receptors detect effector proteins which are delivered into host cells by invading pathogens and pests to promote virulence. NLR receptors have a modular domain architecture typically consisting of an N-terminal coiled-coil (CC or CC_R) or Toll/Interleukin-1 receptor (TIR) domain, a central nucleotide-binding (NB-ARC) domain, and a C-terminal leucine-rich repeat (LRR) domain. In addition, some NLRs contain non-canonical domains which are integrated into the protein architecture either at the N- or C-termini or between canonical domains (Sarris et al., 2016; Cesari et al., 2014; Kroj et al., 2016; Bailey et al., 2018). These integrated domains (IDs) resemble effector virulence targets and either directly bind or are modified by effector proteins to activate NLR-mediated immune signaling (Cesari et al., 2014; Oikawa et al., 2020; Maidment et al., 2021; Maqbool et al., 2015; Sarris et al., 2015; Mukhi et al., 2021).

Many of the characterized resistance (R) genes used to confer disease resistance in crop breeding programs encode NLR proteins (Kourelis and van der Hoorn, 2018). However, NLR-mediated resistance can be overcome through silencing or deletion of effectors in pathogen genomes, the gain of new effectors or effector functions, or mutation to evade NLR activation (Raffaele et al., 2010; Yoshida et al., 2016). Engineering NLRs to detect currently unrecognized effector proteins would provide new opportunities to control plant pathogens. Early attempts to engineer NLRs focused on random mutagenesis followed by gain-of-function screening, with some success in both expanding recognition profiles to new effector variants and increasing the sensitivity of the receptor (Giannakopoulou et al., 2015; Segretin et al., 2014; Farnham and Baulcombe, 2006; Harris et al., 2013). More recently, modification of the effector target PBS1, which is guarded by the NLR protein RPS5 led to successful engineering of novel recognition by this system (Kim et al., 2016; Pottinger et al., 2020; Pottinger and Innes, 2020; Helm et al., 2019). RPS5 is activated by cleavage of the Arabidopsis thaliana protein kinase PBS1 by the Pseudomonas syringae effector AvrPphB. By varying the PBS1 cleavage site, the RPS5/PBS1 system has been engineered to recognize proteases from different pathogens (Pottinger et al., 2020; Helm et al., 2019). Using a different strategy, a protein domain targeted for degradation by the phytoplasma effector SAP05 was fused to the C-terminus of the TIR-NLR RRS1-R. RRS1-R represses the immune cell death-triggering activity of a second TIR-NLR, RPS4. While transient co-expression of the engineered RRS1-R, RPS4, and the phytoplasma effector SAP05 led to cell death in N. tabacum, transgenic A. thaliana plants were not resistant to phytoplasma carrying the SAP05 effector (Wang et al., 2021).

Integrated domains can facilitate the recognition of structure- and sequence-diverse effectors which target similar host proteins. This is exemplified by the TIR-NLR pair RRS1 and RPS4, which mediate recognition of the structurally distinct effectors PopP2 from Ralstonia solanacearum and AvrRps4 from Pseudomonas syringae pv. pisi (Sarris et al., 2015; Mukhi et al., 2021; Deslandes et al., 2003; Saucet et al., 2015; Huh et al., 2017; Le Roux et al., 2015). Furthermore, the potential to replace naturally occurring integrated domains with nanobodies of defined specificity to confer disease resistance has recently been demonstrated (Kourelis et al., 2023). Modification of existing integrated domains, or the incorporation of entirely new protein domains into an NLR structure could deliver new recognition specificities and extend the toolbox of resistance genes available to combat crop pathogens and pests.

The paired rice CC-NLR proteins Pik-1 and Pik-2 cooperatively activate plant defense in response to the blast pathogen effector AVR-Pik (Ashikawa et al., 2008; Kanzaki et al., 2012; Zdrzałek et al., 2020). The sensor NLR Pik-1 contains an integrated HMA domain between the CC and NB-ARC domains (Maqbool et al., 2015, Figure 1—figure supplement 1a). Direct binding of AVR-Pik to the HMA domain is required to activate Pik-mediated immunity (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021). Multiple Pik alleles have been described in different rice cultivars, with most amino acid polymorphisms located within the integrated HMA domain of Pik-1. Five Pik alleles (Pikp, Pikm, Pikh, Piks, and Pik*) have been functionally characterized for their response to blast isolates carrying different AVR-Pik variants (Maqbool et al., 2015; Kanzaki et al., 2012; De la Concepcion et al., 2018; De la Concepcion et al., 2021, Figure 1—figure supplement 1c). To date, six AVR-Pik variants (A-F) have been described, which differ in five amino acid positions at the HMA-binding interface (Kanzaki et al., 2012; Yoshida et al., 2009; Longya et al., 2019, Figure 1—figure supplement 1b). These polymorphisms influence the binding of the effector to the integrated HMA domain of Pik-1 (Maqbool et al., 2015; De la Concepcion et al., 2018; Longya et al., 2019). Interestingly, the Asp67 and Lys78 polymorphisms of AVR-PikC and AVR-PikF, respectively, disrupt interactions between the effector and all tested integrated Pik-HMA domains (Maidment et al., 2021; De la Concepcion et al., 2021; Longya et al., 2019). To date, none of the characterized Pik alleles can confer disease resistance to blast isolates carrying AVR-PikC or AVR-PikF (Maqbool et al., 2015; Kanzaki et al., 2012; De la Concepcion et al., 2018; De la Concepcion et al., 2021).

The molecular basis of interaction between AVR-Pik effectors and the integrated HMA domains of Pikp-1, Pikm-1, and Pikh-1 has been well explored (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021). Pikp-1 is only able to recognize the AVR-PikD variant, however, the introduction of two amino acid changes (Asn261Lys and Lys262Glu) extends recognition to AVR-PikE and AVR-PikA, phenocopying the recognition profile of Pikm-1 and Pikh-1 (De la Concepcion et al., 2019).

The NLR pair RGA5 and RGA4 detect the blast pathogen effectors AVR-Pia and AVR1-CO39, with activation requiring binding of the effector to an integrated HMA domain at the C-terminus of RGA5 (Okuyama et al., 2011; Cesari et al., 2013; Ortiz et al., 2017). Crystal structures of the RGA5-HMA/AVR1-CO39 and Pik-HMA/AVR-Pik complexes were used to engineer the RGA5-HMA domain to bind AVR-PikD in addition to its cognate effectors AVR-Pia and AVR1-CO39 and deliver cell death in Nicotiana benthamiana, but not disease resistance in transgenic rice (Cesari et al., 2022). More recently, RGA5 has been engineered to bind the non-cognate effector AVR-Pib. Transgenic rice carrying the engineered RGA5 variant was resistant to AVR-Pib-expressing M. oryzae strains, with resistance comparable to that displayed by the (untransformed) rice cultivar K14 which carries the Pib CC-NLR resistance gene (Liu et al., 2021). These studies demonstrate the potential for engineering integrated domains to alter the recognition profile of the NLR protein, however, engineering new-to-nature effector recognition is yet to be reported.

The AVR-Pik effector targets members of the rice heavy metal-associated isoprenylated plant protein (HIPP) and heavy metal-associated plant protein (HPP) families through direct interaction with their HMA domain, supporting the hypothesis that NLR integrated domains are likely derived from host proteins (Oikawa et al., 2020; Maidment et al., 2021). In a previous study, we showed that all AVR-Pik effector variants bind to the HMA domain of OsHIPP19 with high affinity and elucidated the structural basis of this interaction by determining the crystal structure of a OsHIPP19-HMA/AVR-PikF complex (Maidment et al., 2021). This shows that effector variants that are not bound by Pik-HMA domains, and escape immune recognition, retain a tight binding for HMA domains of their putative host targets.

Here, we leverage our understanding of the interaction between OsHIPP19 and AVR-Pik to engineer the integrated HMA domain of Pik-1 to expand recognition to the stealthy AVR-PikC and AVR-PikF variants, enabling new-to-nature disease resistance profiles in an NLR. We use two parallel strategies to engineer recognition. First, we demonstrate that exchanging the HMA domain of Pikp-1 for that of OsHIPP19 (including additional amino acid substitutions to prevent autoactivity), gives a chimeric Pik-1 which binds AVR-Pik effectors and triggers AVR-PikC- and AVR-PikF-dependent cell death in N. benthamiana. Second, guided by the structure of the OsHIPP19-HMA/AVR-PikF complex, we use targeted mutagenesis of Pikp-1 to give a second engineered Pik-1 receptor capable of binding to AVR-PikC and AVR-PikF and triggering cell death in N. benthamiana. Finally, we show that transgenic rice expressing either of these engineered Pik-1 proteins is resistant to blast pathogen strains carrying AVR-PikC or AVR-PikF, while rice expressing wild-type Pikp is susceptible. This work highlights how a biochemical and structural understanding of the interaction between a pathogen effector and its host target can guide the rational engineering of NLR proteins with the novel, and new-to-nature, disease resistance profiles.

Results

A Pikp-1^OsHIPP19 chimera extends binding and response to previously unrecognized AVR-Pik variants

Previously, we reported that all AVR-Pik variants, including AVR-PikC and AVR-PikF, bind to the HMA domain of OsHIPP19 with high affinity (Maidment et al., 2021). The HMA domains of Pikp-1 and OsHIPP19 share 51% amino acid identity and are structurally similar; the RMSD (as calculated in Coot using secondary structure matching) between Pikp-HMA (PDB 6G10) and OsHIPP19-HMA (PDB 7B1I) is 0.97 Å across 71 amino acids. We hypothesized that exchanging the HMA domain of Pikp-1 for the HMA domain of OsHIPP19 would result in an NLR capable of binding and responding to AVR-PikC and AVR-PikF.

For this exchange, amino acids 188–263 (inclusive) of Pikp-1 were replaced with amino acids 2–77 of OsHIPP19 to give the chimeric NLR protein Pikp-1^OsHIPP19 (Figure 1—figure supplement 2a). To test whether Pikp-1^OsHIPP19 could associate with AVR-Pik effector variants in planta, we performed co-immunoprecipitation experiments in N. benthamiana. Each of the myc-AVR-Pik variants (an N-terminal myc tag was used for effectors in all experiments in N. benthamiana) was transiently co-expressed with Pikp-1^OsHIPP19-HF (C-terminal 6xHis/3xFLAG tag, used for all Pikp-1 constructs expressed in N. benthamiana) by agroinfiltration. Pikp-2 was not included to prevent the onset of cell death, which reduces protein levels in the plant cell extract, and previous work has shown that AVR-Pik can associate with Pik-1 in the absence of Pik-2 (De la Concepcion et al., 2018). Following immunoprecipitation with anti-FLAG beads to enrich for Pikp-1^OsHIPP19, western blot analysis showed that all AVR-Pik variants, except AVR-PikF, co-precipitated with Pikp-1^OsHIPP19 (Figure 1—figure supplement 3). As a control, and consistent with previous studies, AVR-PikD associated with Pikp-1, while AVR-PikC did not.

We then transiently co-expressed epitope-tagged Pik-1, Pikp-2, and AVR-Pik in N. benthamiana using cell death as a proxy for immune activation (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021; Longya et al., 2019). We found that when co-expressed with Pikp-2-HA (C-terminal hemagglutinin tag, used for all Pikp-2 constructs expressed in N. benthamiana), Pikp-1^OsHIPP19 is autoactive and triggers spontaneous cell death in the absence of the effector (Figure 1a and b, Figure 1—figure supplement 4a). This autoactivity requires an intact P-loop and MHD motif in Pikp-2, as cell death is abolished when Pikp-1^OsHIPP19 is transiently co-expressed with either Pikp-2^K217R or Pikp-2^D559V (Figure 1—figure supplement 5a, Figure 1—figure supplement 5b, Figure 1—figure supplement 6). Cell death was reduced, but not abolished, when Pikp-1^OsHIPP19 with a Lys296Arg mutation in the P-loop motif (Pikp-1^{OsHIPP19_K296R}) was transiently co-expressed with Pikp-2 (Figure 1—figure supplement 5a, Figure 1—figure supplement 5b, Figure 1—figure supplement 6). Western blot analysis indicated that all fusion proteins were produced (Figure 1—figure supplement 5c, Figure 1—figure supplement 7a).

Figure 1 with 11 supplements see all

Download asset Open asset

The Pikp-1^{OsHIPP19-mbl7} chimera expands binding and response to previously unrecognized AVR-Pik effector variants.

(A) Representative leaf image showing the Pikp-1^OsHIPP19 chimera is autoactive in *N. benthamiana* in a Pikp-2 dependent manner. Nucleotide-binding and leucine-rich repeat (NLR)-mediated responses appear as autofluorescence imaged under UV light. Pikp-mediated response to AVR-PikD (positive control, top left), Pikp-1^OsHIPP19/Pikp-2 without effector shows autoactivity (top right), Pikp-1^OsHIPP19/Pikp-2 response remains in the presence of AVR-PikD (middle right). Other leaf positions represent relevant negative controls. (B) Pikp-mediated response scoring represented as dot plots to summarize 30 repeats of the experiment shown in (A) across three independent experiments (Materials and methods, Figure 1—figure supplement 4a). Fluorescence intensity is scored as previously described (Maqbool et al., 2015; De la Concepcion et al., 2018). (C) The Pikp-1^{OsHIPP19-mbl7} chimera does not display autoactive cell death in *N. benthamiana* (bottom right), as seen for Pikp-1^OsHIPP19 (middle left), but retains response to AVR-PikD and expands Pikp-mediated response to AVR-PikC (middle right). (D) Pikp-mediated response scoring represented as dot plots to summarize 60 repeats of the experiment shown in (C) across three independent experiments (Materials and methods, Figure 1—figure supplement 4b). (E) As for (C), but showing the expanded Pikp-mediated response to AVR-PikF. (F) As for (D) but for 60 repeats of the experiment in (E) across three independent experiments (Materials and methods, Figure 1—figure supplement 4c). (G) Western blots following co-immunoprecipitation reveal that the Pikp-1^{OsHIPP19-mbl7} chimera associates with all AVR-Pik effector variants in *N. benthamiana*. Plant cell lysates were probed for the expression of Pikp-1/Pikp-1^{OsHIPP19-mbl7} and AVR-Pik effector variants using anti-FLAG and anti-Myc antiserum, respectively. Total protein extracts were visualized by Ponceau Staining.

Figure 1—source data 1 Unedited and uncropped blot for panel G, IP Pik-1 α-FLAG, Pik-1 α-FLAG, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data1-v1.tiff
Download elife-81123-fig1-data1-v1.tiff
Figure 1—source data 2 Unedited and uncropped blot for panel G, IP Pik-1 α-FLAG, Pik-1 α-FLAG.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data2-v1.tiff
Download elife-81123-fig1-data2-v1.tiff
Figure 1—source data 3 Unedited and uncropped blot for panel G, IP Pik-1 α-FLAG, AVRPik α-myc, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data3-v1.tiff
Download elife-81123-fig1-data3-v1.tiff
Figure 1—source data 4 Unedited and uncropped blot for panel G, IP Pik-1 α-FLAG, AVRPik α-myc.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data4-v1.tiff
Download elife-81123-fig1-data4-v1.tiff
Figure 1—source data 5 Unedited and uncropped blot for panel G, input, Pik-1 α-FLAG, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data5-v1.tiff
Download elife-81123-fig1-data5-v1.tiff
Figure 1—source data 6 Unedited and uncropped blot for panel G, input, Pik-1 α-FLAG.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data6-v1.tiff
Download elife-81123-fig1-data6-v1.tiff
Figure 1—source data 7 Unedited and uncropped blot for panel G, input, AVRPik α-myc, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data7-v1.tiff
Download elife-81123-fig1-data7-v1.tiff
Figure 1—source data 8 Unedited and uncropped blot for panel G, input, AVRPik α-myc.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data8-v1.tiff
Download elife-81123-fig1-data8-v1.tiff
Figure 1—source data 9 Unedited and uncropped blot for panel G, Ponceau stain, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data9-v1.tiff
Download elife-81123-fig1-data9-v1.tiff
Figure 1—source data 10 Unedited and uncropped blot for panel G, Ponceau stain.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data10-v1.tiff
Download elife-81123-fig1-data10-v1.tiff
Figure 1—source data 11 Cell death scores used for dot plots in panel B.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data11-v1.zip
Download elife-81123-fig1-data11-v1.zip
Figure 1—source data 12 Cell death scores used for dot plots in panel D.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data12-v1.zip
Download elife-81123-fig1-data12-v1.zip
Figure 1—source data 13 Cell death scores used for dot plots in panel F.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig1-data13-v1.zip
Download elife-81123-fig1-data13-v1.zip

A previous study showed that autoactivity following HMA domain exchange could be abolished by reverting the degenerate metal-binding motif of the HMA domain (‘MxCxxC’) to the corresponding amino acids in Pikp-1 (Białas et al., 2021). Based on this observation, we exchanged seven amino acids (encompassing the entire MxCxxC motif) in the β₁-α₁ loop of the Pikp-1^OsHIPP19 chimera for the corresponding amino acids in Pikp-1 (Figure 1—figure supplement 2b, Figure 1—figure supplement 8). The resulting chimera, Pikp-1^{OsHIPP19-mbl7} hereafter (mbl7 refers to seven amino acids in the ‘metal-binding loop’), was not autoactive, and did not trigger spontaneous cell death in the absence of the effector. Crucially, Pikp-1^{OsHIPP19-mbl7} retained the ability to trigger cell death in N. benthamiana when co-expressed with Pikp-2 and AVR-PikD. Further, Pikp-1^{OsHIPP19-mbl7} also triggered cell death in N. benthamiana when co-expressed with Pikp-2 and AVR-PikC or AVR-PikF (Figure 1c–f, Figure 1—figure supplement 4b–c, Figure 1—figure supplement 9). Western blot analysis showed that all proteins for these cell death assays were produced in leaf tissue (Figure 1—figure supplement 7b, Figure 1—figure supplement 7c). We also showed that Pikp-1^{OsHIPP19-mbl7} triggered cell death in N. benthamiana when co-expressed with Pikp-2 and AVR-PikA, AVR-PikE (Figure 1—figure supplement 10, Figure 1—figure supplement 11). Finally, we confirmed that Pikp-1^{OsHIPP19-mbl7} retains binding to AVR-Pik variants by co-immunoprecipitation in N. benthamiana, including AVR-PikF (Figure 1g).

Structure-guided mutagenesis of Pikp-1 extends response to previously unrecognized AVR-Pik variants

Alongside the HMA-domain exchange strategy, we also used a structure-guided approach to target point mutations in Pikp-HMA that could extend the effector recognition profile of Pikp without triggering autoimmunity.

The interaction surfaces between integrated Pik-HMA domains and AVR-Pik effectors are well-characterized, with crystal structures revealing three predominant interfaces (termed 1–3) between the proteins (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021; De la Concepcion et al., 2019). These interfaces are also observed in the structure of the HMA domain of OsHIPP19 in complex with AVR-PikF (PDB accession code 7B1I Maidment et al., 2021). The Asp67 and Lys78 polymorphisms that distinguish AVR-PikC and AVR-PikF from AVR-PikE and AVR-PikA, respectively, are located at interface 2. In the crystal structure of Pikh-HMA/AVR-PikC, the side chain of AVR-PikC^Asp67 extends towards a loop in the HMA domain containing Pikh-HMA^Asp224. This loop is shifted away from the effector, likely due to steric clash and/or repulsion by the two Asp sidechains, and intermolecular hydrogen bonds between Pikh-HMA^Asp224 and AVR-PikC^Arg64 are disrupted. We hypothesized that compensatory mutations at interface 2 could mitigate against the disruption caused by AVR-PikC^Asp67. Therefore, we introduced Asp224Ala and Asp224Lys mutations in the Pikp-1^NK-KE background (De la Concepcion et al., 2019) and tested these constructs in cell death assays in N. benthamiana. Neither mutation extended the Pikp-1^NK-KE-mediated cell death response to AVR-PikC, and both mutations reduced the extent of the response to AVR-PikD (Figure 2—figure supplement 1, Figure 2—figure supplement 2).

Pikh-1 and Pikp-1^NK-KE differ from Pikp-1 by one and two amino acids, respectively, at interface 3. These amino acid differences are sufficient to extend binding and cell death response to AVR-PikE and AVR-PikA, even though the residues that distinguish these variants from AVR-PikD are located at interface 2. We, therefore, predicted that we could engineer a modified Pik-1 that interacts with AVR-PikC/AVR-PikF by mutating other interfaces in the HMA domain to compensate for disruption at the site of the polymorphic residue. The crystal structure of the OsHIPP19-HMA/AVR-PikF complex revealed additional hydrogen bond interactions at interface 3 relative to integrated HMAs in the complex with AVR-Pik variants (Maidment et al., 2021). The side chain of OsHIPP19^Glu72 was particularly striking. The corresponding residue in all described Pik-1 HMA domains is serine, and while the hydroxyl group of the serine side chain only forms an intramolecular hydrogen bond within the HMA domain, the bulkier OsHIPP19^Glu72 side chain extends across the interface and forms a direct hydrogen bond with the effector (Figure 2a). We, therefore, introduced a Ser258Glu mutation in the Pikp-1^NK-KE background to give the triple mutant Pikp-1^SNK-EKE and tested the ability of this protein to respond to AVR-Pik variants in N. benthamiana cell death assays. Firstly, we confirmed that Pikp-1^SNK-EKE was not autoactive, evidenced by a lack of cell death following co-expression with Pikp-2 only (in the absence of effectors). Next, we established that Pikp-1^SNK-EKE remained functional and caused cell death on co-expression with Pikp-2 and AVR-PikD. Crucially, transient expression of Pikp-1^SNK-EKE, but not Pikp-1^NK-KE, with Pikp-2 and either AVR-PikC or AVR-PikF, triggered cell death suggestive of new effector response specificities (Figure 2b–e, Figure 2—figure supplement 3, Figure 2—figure supplement 4). Western blot analysis indicated that all fusion proteins were produced (Figure 2—figure supplement 5). Pikp-1^NK-KE has previously been shown to cause cell death when co-expressed with Pikp-2 and AVR-PikE or AVR-PikA, and consistent with these findings, Pikp-1^SNK-EKE also triggered cell death when co-expressed with Pikp-2 and either of these effector variants (Figure 2—figure supplement 6, Figure 2—figure supplement 7).

Figure 2 with 9 supplements see all

Download asset Open asset

Structure-guided mutagenesis of Pikp-1 expands response to previously unrecognized AVR-Pik effector variants.

(A) Comparison of the crystal structures of AVR-Pik effector variants in complex with Pik-HMA domains (PDB entries 6G10, 6FU9, and 7A8X) and AVR-PikF in complex OsHIPP19 (PDB entry 7B1I) suggests the addition of an S258E mutation to the NK-KE mutations described previously (De la Concepcion et al., 2019) could introduce new contacts across the protein:protein interface. Protein structures are represented as ribbons with relevant side chains displayed as cylinders. Dashed lines indicate hydrogen bonds. Relevant water molecules are represented as red spheres. (B) The Pikp^SNK-EKE mutant gains response to AVR-PikC (right, middle) where no response is observed for Pikp^NK-KE (left, middle). Further, the Pikp^SNK-EKE mutant is not autoactive (right, bottom) and retains response to AVR-PikD (right, top). All infiltration spots contain Pikp-2. (C) Pikp-mediated response scoring represented as dot plots to summarize 60 repeats of the experiment shown in (B) across three independent experiments (Materials and methods, Figure 2—figure supplement 3a). (D) and (E) as described for (B) and (C) but with AVR-PikF and 57 repeats across three independent experiments (Materials and methods, Figure 2—figure supplement 3b).

Figure 2—source data 1 Cell death scores used for dot plots in panel C.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig2-data1-v1.zip
Download elife-81123-fig2-data1-v1.zip
Figure 2—source data 2 Cell death scores used for dot plots in panel E.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig2-data2-v1.zip
Download elife-81123-fig2-data2-v1.zip

We tested whether the Ser258Glu mutation alone was sufficient to extend the cell death response to AVR-PikC or AVR-PikF using the cell death assay. When Pikp-1^S258E was co-infiltrated with Pikp-2 and either AVR-PikC or AVR-PikF no cell death was observed (Figure 2—figure supplement 8, Figure 2—figure supplement 9), demonstrating that the triple mutation is necessary for response to these effectors.

The Ser258Glu mutation extends the binding of Pikp-HMA^NK-KE to AVR-PikC and AVR-PikF in vitro

The extent of the Pik/AVR-Pik-dependent cell death response in N. benthamiana largely correlates with binding affinity in vitro and in planta (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021; De la Concepcion et al., 2019). To test whether the Pikp-1^SNK-EKE response to AVR-PikC or AVR-PikF in N. benthamiana correlates with increased binding to the modified HMA domain, we first used surface plasmon resonance (SPR) with purified proteins. Pik-HMA domains and AVR-Pik effectors were purified from E. coli cultures using established protocols for the production of these proteins (Maidment et al., 2021; Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021; De la Concepcion et al., 2019). For SPR, AVR-Pik effector variants were immobilized on a Ni²⁺-NTA sensor chip via a C-terminal 6xHis tag. Pikp-HMA, Pikp^NK-KE-HMA or Pikp^SNK-EKE-HMA has flowed over the surface of the chip at three different concentrations (4 nM, 40 nM, and 100 nM). The binding (R_obs, measured in response units, RU) was recorded and expressed as a percentage of the maximum theoretical responses (%Rmax), assuming a 2:1 HMA:effector interaction model (Maqbool et al., 2015). Consistent with previous studies, Pikp-HMA did not bind AVR-PikC (nor AVR-PikF), and weak binding was observed for Pikp^NK-KE-HMA to AVR-PikC (and also to AVR-PikF). By contrast, Pikp^SNK-EKE-HMA bound to both AVR-PikC and AVR-PikF with higher apparent affinity (larger %Rmax) than Pikp^NK-KE-HMA (Figure 3a–b). This result was consistent across the three concentrations investigated, though binding (and %Rmax) was low for all three HMA domains at 4 nM (Figure 3—figure supplement 1).

Figure 3 with 4 supplements see all

Download asset Open asset

The SNK-EKE triple mutation extends Pikp-1 binding to AVR-PikC and AVR-PikF in vitro and in planta by facilitating new contacts across the protein:protein interface.

Boxplots showing the %Rmax observed for the interactions between AVR-PikC (A) or AVR-PikF (B), both at 40 nM injection concentration, and each of Pikp-HMA, Pikp-HMA^NK-KE, and Pikp-HMA^SNK-EKE. %Rmax is the percentage of the theoretical maximum response, assuming a 2:1 binding model (as previously observed for Pikp-HMA proteins). The centre line of the box represents the median and the box limits are the upper and lower quartiles. The whiskers extend to the smallest value within Q1 − 1.5 X the interquartile range (IQR) and the largest value within Q3 +1.5 X IQR. Individual data points are represented as black shapes. The experiment was repeated three times, with each experiment consisting of three technical replicates. Data for 4 nM and 100 nM effector injection concentrations are shown in Figure 3—figure supplement 1. (C) Western blots following co-immunoprecipitation show that the Pikp-1^SNK-EKE chimera binds to tested AVR-Pik effector variants in *N. benthamiana*. Plant cell lysates were probed for the expression of Pikp-1/Pikp-1^NK-KE/Pikp-1^SNK-EKE and AVR-Pik effector variants using anti-FLAG and anti-Myc antiserum, respectively. Total protein extracts were visualized by Ponceau Staining. (D) The crystal structure of the Pikp-HMA^SNK-EKE/AVR-PikC complex (PDB entry 7QPX) reveals additional hydrogen bonds at the protein:protein interfaces compared to Pikp-HMA^NK-KE/AVR-PikC (PDB entry 7A8W). Protein structures are represented as ribbons with relevant side chains displayed as cylinders. Dashed lines indicate hydrogen bonds. Relevant water molecules are represented as red spheres.

Figure 3—source data 1 Unedited and uncropped blot for Figure 3C, IP Pik-1 α-FLAG, Pik-1 α-FLAG, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data1-v1.tiff
Download elife-81123-fig3-data1-v1.tiff
Figure 3—source data 2 Unedited and uncropped blot for Figure 3C, IP Pik-1 α-FLAG, Pik-1 α-FLAG.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data2-v1.tiff
Download elife-81123-fig3-data2-v1.tiff
Figure 3—source data 3 Unedited and uncropped blot for Figure 3C, IP Pik-1 α-FLAG, AVRPik α-myc, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data3-v1.tiff
Download elife-81123-fig3-data3-v1.tiff
Figure 3—source data 4 Unedited and uncropped blot for Figure 3C, IP Pik-1 α-FLAG, AVRPik α-myc.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data4-v1.tiff
Download elife-81123-fig3-data4-v1.tiff
Figure 3—source data 5 Unedited and uncropped blot for Figure 3C, input, Pik-1 α-FLAG, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data5-v1.tiff
Download elife-81123-fig3-data5-v1.tiff
Figure 3—source data 6 Unedited and uncropped blot for Figure 3C, input, Pik-1 α-FLAG.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data6-v1.tiff
Download elife-81123-fig3-data6-v1.tiff
Figure 3—source data 7 Unedited and uncropped blot for Figure 3C, input, AVRPik α-myc, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data7-v1.tiff
Download elife-81123-fig3-data7-v1.tiff
Figure 3—source data 8 Unedited and uncropped blot for Figure 3C, input, AVRPik α-myc.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data8-v1.tiff
Download elife-81123-fig3-data8-v1.tiff
Figure 3—source data 9 Unedited and uncropped blot for Figure 3C, Ponceau stain, with relevant bands labeled.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data9-v1.tiff
Download elife-81123-fig3-data9-v1.tiff
Figure 3—source data 10 Unedited and uncropped blot for Figure 3C, Ponceau stain.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data10-v1.tiff
Download elife-81123-fig3-data10-v1.tiff
Figure 3—source data 11 Surface plasmon resonance (SPR) data used for box plots in panel A.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data11-v1.zip
Download elife-81123-fig3-data11-v1.zip
Figure 3—source data 12 Surface plasmon resonance (SPR) data used for box plots in panel B.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig3-data12-v1.zip
Download elife-81123-fig3-data12-v1.zip

The Ser258Glu mutation extends the binding of Pikp-HMA^NK-KE to AVR-PikC and AVR-PikF in planta

Next, we determined whether the Ser258Glu mutation also extends binding to AVR-PikC and AVR-PikF in the full-length NLR in planta using co-immunoprecipitation. Full-length Pikp-1, Pikp-1^NK-KE, and Pikp-1^SNK-EKE were each co-expressed with either AVR-PikD, AVR-PikC, or AVR-PikF in N. benthamiana. As before, Pikp-2 was not included in the co-immunoprecipitation assays to prevent the onset of cell death. We found that AVR-PikD, AVR-PikC, or AVR-PikF co-immunoprecipitated with Pikp-1^SNK-EKE (Figure 3c); while the band corresponding to AVR-PikF was faint, this can be attributed to lower levels of AVR-PikF in the input. As previously observed (De la Concepcion et al., 2019), AVR-PikD, but not AVR-PikC or AVR-PikF co-immunoprecipitated with Pikp-1 and Pikp-1^NK-KE (Figure 3c). Taken together, the results from in vitro and in planta assays indicate that the Ser258Glu mutation increases the binding of Pikp-1^NK-KE for AVR- PikC and AVR-PikF to a sufficient level to trigger cell death in planta.

Crystal structures of the Pikp-HMA^SNK-EKE/AVR-PikC and Pikp-HMA^SNK-EKE/AVR-PikF complexes reveal new contacts across the binding interface

To confirm that the side chain of Glu258 in Pikp-1^SNK-EKE forms a new hydrogen bond across the interface (as observed for Glu72 in the OsHIPP19/AVR-PikF complex), we determined the crystal structures of the Pikp-HMA^SNK-EKE/AVR-PikC and Pikp-HMA^SNK-EKE/AVR-PikF complexes. For comparison, we also determined the crystal structure of Pikp-HMA^NK-KE/AVR-PikC. These were produced by co-expression in E. coli and purified to homogeneity using established methods for purification of HMA domain/AVR-Pik complexes (Maidment et al., 2021; Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2019). Crystals were obtained in several conditions in the Morpheus screen (Molecular Dimensions), and X-ray diffraction data were collected at the Diamond Light Source (Oxford, UK) to a resolution of 2.15 Å (Pikp-HMA^NK-KE/AVR-PikC), 2.05 Å (Pikp-HMA^SNK-EKE/AVR-PikC), and 2.2 Å (Pikp-HMA^SNK-EKE/AVR-PikF). These structures were solved by molecular replacement and refined/validated using standard protocols (see Materials and methods). Data collection, processing, and refinement statistics are shown in Supplementary file 1. The final refined models have been deposited at the PDB with accession codes 7A8W, 7QPX, and 7QZD.

The global structures of the complexes are essentially identical to each other and to the previously determined Pik-HMA/AVR-Pik crystal structures (Figure 3—figure supplement 2, Figure 3—figure supplement 3, Figure 3—figure supplement 4, Supplementary file 1). The RMSDs, as calculated in COOT with secondary structure matching, between Pikp-HMA^NK-KE/AVR-PikC and Pikp-HMA^SNK-EKE/AVR-PikC or Pikp-HMA^SNK-EKE/AVR-PikF are 0.38 Å using 154 residues and 0.60 Å using 155 residues, respectively. Interface analysis performed with qtPISA (Krissinel and Henrick, 2009) identified 15 hydrogen bonds and nine salt bridges between Pikp-HMA^SNK-EKE and AVR-PikC, and 16 hydrogen bonds and 11 salt bridges between Pikp-HMA^SNK-EKE and AVR-PikF, compared to the 12 hydrogen bonds and eight salt bridges mediating the interaction between Pikp-HMA^{NK- KE} and AVR-PikC (Supplementary file 2). Inspection of the structures revealed that the side chain of Glu258 does indeed extend across the interface, forming direct hydrogen bonds with the backbone of the effectors (Figure 3d). This single mutation also supports additional hydrogen bonds at the interface between AVR-PikC (or AVR-PikF) and residues comprising β4 of the HMA domain (Figure 3d). These differences at interface 3 likely explain the increased binding affinity of Pikp-HMA^SNK-EKE for AVR-PikC/AVR-PikF relative to Pikp-HMA^NK-KE.

Rice plants expressing Pikp^{OsHIPP19-mbl7} or Pikp-1^SNK-EKE are resistant to M. oryzae expressing AVR-PikC or AVR-PikF

To determine whether the engineered Pik NLRs Pikp-1^{OsHIPP19-mbl7} and Pikp-1^SNK-EKE could mediate resistance to M. oryzae Sasa2 isolates expressing either AVR-PikC or AVR-PikF, we generated transgenic rice (Oryza sativa cv. Nipponbare, pikp-) expressing either wild-type Pikp-1, Pikp-1^{OsHIPP19-mbl7} or Pikp-1^SNK-EKE, with Pikp-2. Expression of both Pikp-1 (or engineered Pikp-1 variants) and Pikp-2 were under the control of the constitutive CaMV 35 S promoter and confirmed by RT-PCR (Figure 4—figure supplement 1). Rice leaf blade punch inoculation assays were performed to determine resistance to M. oryzae (Sasa2) transformants carrying AVR-Pik alleles (AVR-PikC, -PikD or -PikF) or AVR-Pii (negative control, AVR-Pii is not recognized by Pikp) in T₁ progenies derived from one Pikp-1/Pikp-2, six Pikp-1^{OsHIPP19-mbl7}/Pikp-2 and five Pikp-1^SNK-EKE/Pikp-2 independent transgenic T₀ lines (Figure 4, Figure 4—figure supplement 2, Figure 4—figure supplement 3, Figure 4—figure supplement 4). The T₁ transgenic rice lines expressing Pikp-1/Pikp-2 showed resistance to Sasa2 transformed with AVR-PikD, but not to the other transformants (Figure 4, Figure 4—figure supplement 2). In contrast, the T₁ transgenic rice lines expressing either Pikp-1^{OsHIPP19-mbl7}/Pikp-2 or Pikp-1^SNK-EKE/Pikp-2 were resistant to Sasa2 transformed with either AVR-PikC or AVR-PikF, as well as to Sasa2 transformed with AVR-PikD (Figure 4, Figure 4—figure supplement 3, Figure 4—figure supplement 4).

Figure 4 with 4 supplements see all

Download asset Open asset

Transgenic rice plants carrying the *Pikp-1^OsHIPP19mbl7* chimera or the *Pikp-1^SNK-EKE* mutation show extended resistance to *Magnaporthe oryzae* carrying *AVR-PikC* or *AVR-PikF* compared to Pikp-1 wild-type.

(A) Example leaves from pathogenicity assays of wild-type *O. sativa* cv. Nipponbare and three transgenic lines of *O. sativa* cv. Nipponbare expressing *Pikp-1/Pikp-2*, *Pikp-1^OsHIPP19mbl7/Pikp-2,* or *Pikp-1^SNK-EKE/Pikp-2* challenged with *M. oryzae* Sasa2 transformed with *AVR-Pii*, *AVR-PikC*, *AVR-PikD,* or *AVR-PikF*. The T₁ generation seedlings were used for the inoculation test. Wild-type *O. sativa* cv. Nipponbare (recipient) is susceptible to all *M. oryzae* Sasa2 transformants (left), while the *Pikp-1/Pikp-2* transformant is only resistance to *M. oryzae* Sasa2 transformed with *AVR-PikD* (no development of disease lesions). The *Pikp-1^OsHIPP19mbl7/Pikp-2* or *Pikp-1^SNK-EKE/Pikp-2* plants show resistance to *M. oryzae* Sasa2 transformed with *AVR-PikC, AVR-PikD* or *AVR-PikF* but not *AVR-Pii*. (B) Disease lesion sizes (determined using ImageJ) are represented as box plots. L1-L6 and L1-L5 represent data from rice lines as shown in Figure 4—figure supplements 2–4. The centre line of the box represents the median and the box limits are the upper and lower quartiles. The whiskers extend to the smallest value within Q1 − 1.5 X the interquartile range (IQR) and the largest value within Q3 + 1.5 X IQR. Individual measurements are represented as black dots. Leaf images corresponding to each of the data points presented in the box plots are shown in Figure 4—figure supplements 2–4. Lowercase letters represent statistically significant differences (p<0.05, ANOVA with post-hoc Tukey HSD test). RT-PCR confirmed expression of transgenes in (A) is shown in Figure 4—figure supplement 1.

Figure 4—source data 1 Lesion size data for pathogen growth on rice plants.: https://cdn.elifesciences.org/articles/81123/elife-81123-fig4-data1-v1.zip
Download elife-81123-fig4-data1-v1.zip

Discussion

Plant diseases cause significant crop losses and constrain global food production. To develop disease-resistant crops, breeding programs exploit resistance genes present in wild germplasm that can be introgressed into elite cultivars. While recent advances have accelerated efforts to identify and clone resistance genes (Mascher et al., 2014; Arora et al., 2019; Jupe et al., 2013; Gardiner et al., 2020), conventional breeding approaches are constrained by the recognition profiles of resistance genes present in wild germplasm. Rational engineering of NLR immune receptors has the potential to yield novel disease resistance traits and expand the repertoire of resistance genes available to combat plant pathogens. It also offers the potential to restore disease resistance that has been overcome by pathogens and accelerate responses to dynamic changes in pathogen-effector populations. Here, we took two approaches to engineer the integrated HMA domain of the NLR protein Pik-1 to deliver new-to-nature effector recognition profiles.

The stealthy effector variants AVR-PikC and AVR-PikF do not interact with the integrated HMA domains of any Pik alleles characterized to date with sufficiently high affinity to activate defense. By contrast, as a putative virulence target of AVR-Pik, OsHIPP19 is bound by all effector variants, including AVR-PikC and AVR-PikF with high affinity (Maidment et al., 2021; Oikawa et al., 2020). Using this knowledge, and the relationship between OsHIPP19 and integrated Pik-HMA domains, we engineered two Pik-1 variants, Pikp-1^{OsHIPP19-mbl7}, and Pikp-1^SNK-EKE. These engineered Pik-1 proteins bound AVR-PikC and AVR-PikF, activated cell death in N. benthamiana, and conferred blast resistance in rice. Engineering an NLR-integrated domain to resemble an effector target reduces the likelihood of the effector mutating to evade immune detection while retaining host target binding. Therefore, this approach may represent a route to more durable disease resistance, particularly in the case of effectors whose function is essential for pathogen virulence.

Despite the structural similarity of the OsHIPP19 and Pikp-1 HMA domains, the Pikp-1^OsHIPP19 chimera triggered effector-independent cell death in N. benthamiana when expressed with Pikp-2. This autoactivity required intact P-loop and MHD motifs in Pikp-2, as previously observed for the effector-dependent response of Pikp-1/Pikp-2 to AVR-PikD (Zdrzałek et al., 2020). Interestingly, mutating the conserved lysine in the P-loop of Pikp-1^OsHIPP19 to arginine partially attenuated the cell death response. Mutating the P-loop of Pikp-1 has previously been shown to abolish the effector-dependent cell death response; however, maintenance of effector-independent cell death, albeit at a reduced level, by Pikp-1^{OsHIPP19_K296R}, suggests that an intact P-loop in Pikp-1 is not essential for Pik-mediated signaling. Based on a previously published approach to remove autoactivation when incorporating different HMA domains into Pik-1 (Białas et al., 2021), we reverted seven amino acids in the β1-α1 loop of Pikp-1^OsHIPP19 to those found in Pikp-1, giving the modified chimera Pikp-1^{OsHIPP19-mbl7}. The β1-α1 loop contains the classical MxCxxC metal-binding motif which is characteristic of HMA domains and is degenerate in both Pikp-1 (MEGNNC) and OsHIPP19 (MPCEKS). We speculate that this loop is involved in intra- or inter-molecular interactions of Pik-1/Pik-2 which support an inactive state in the absence of effector binding, which is disturbed in the Pikp-1^OsHIPP19 chimera but restored in Pikp-1^{OsHIPP19-mbl7}. These results highlight the potential challenges of incorporating domains that have not co-evolved with other domains in the receptor, but also show the potential for overcoming autoactivation to deliver functional NLRs. A recent study demonstrated that the Pik-1 chassis can accommodate nanobodies to GFP and mCherry, and these mediated reduced viral loads of Potato Virus X (PVX) expressing these antigens in N. benthamiana (Kourelis et al., 2023). This further demonstrates the potential of the Pik-1 NLR as a versatile system for engineering disease resistance through domain exchange.

Based on the OsHIPP19/AVR-PikF complex (Maidment et al., 2021), we incorporated a Ser258Glu point mutation in the Pikp-1^NK-KE background, generating a Pikp-HMA triple mutant, Pikp-1^SNK-EKE. By determining the crystal structures of the Pikp-HMA^SNK-EKE/AVR-PikC and Pikp-HMA^SNK-EKE/AVR-PikF complexes, we confirmed the formation of new contacts across the HMA/effector interface that likely account for the expanded recognition profile to AVR-PikC and AVR-PikF. In addition to a new hydrogen bond between the side chain of Pikp- 1^{SNK-EKE_Glu258} and the backbone of AVR-PikC, we observed two additional intermolecular hydrogen bonds formed between other amino acids at the interface. This extended hydrogen bonding is facilitated by a shift in β4 of the HMA domain towards the effector. Together with previous studies in the Pik-1/Pik-2 and RGA5/RGA4 systems (De la Concepcion et al., 2019; Cesari et al., 2022; Liu et al., 2021), our new results show the utility of structure-guided approaches to engineering NLR integrated domains to extend binding to different effectors. While recent advances in protein structure modeling will support future engineering efforts, challenges remain in the accurate prediction of side-chain positions, and the effect of individual mutations, which will necessitate experimental determination of protein complexes to optimize intermolecular interactions.

The Pikp-1^SNK-EKE variant differs from the wild-type Pikh-1 allele in just two amino acid positions. Generating Pikp-1^SNK-EKE from Pikh-1 requires a maximum of four nucleotide substitutions, which can be achieved using precise base editing and prime editing technologies (Molla et al., 2021; Hua et al., 2022). In many countries, edited crop varieties which do not contain DNA from another species are not subject to restrictions beyond those required for conventionally bred crop varieties. Therefore, this work raises the exciting prospect of editing wild-type alleles of NLRs that have greater potential for deployment in the field than those incorporating entirely new protein domains or substantial sequence changes.

Given the limited number of M. oryzae effectors for which host targets have been identified, it is notable that three (AVR-Pik, AVR- Pia and AVR1-CO39) interact with HMA domains of HIPPs and/or HPPs (Maidment et al., 2021; Oikawa et al., 2020). The AVR-Pik-like effector APikL2, which is highly conserved across M. oryzae lineages with different grass hosts, also binds to the HMA domain of a HIPP (sHMA94 from Setaria italica) (Bentham et al., 2021). Although interaction with AVR-Pik appears to stabilize HIPPs (Oikawa et al., 2020), at present, the consequences and significance for pathogen virulence of these effector/HMA interactions are unclear. Intriguingly, the potato mop-top virus movement protein has been shown to interact with NbHIPP26 (Cowan et al., 2018), and other HIPPs/HPPs have been described as host susceptibility factors (Fukuoka et al., 2009; Radakovic et al., 2018; Zschiesche et al., 2015) and may represent targets of effectors from other pathogens. This raises the possibility that incorporating different HMA domains into the Pik-1 chassis (with the mutations described here to prevent autoactivation, if necessary), could offer a suite of NLR proteins capable of recognizing as-yet unknown effectors from diverse pathogens. Alongside biochemical approaches to identify effector-target interactions, advances in structural modeling could also enable the identification of novel HMA-binding effectors. AVR-Pik, AVR-Pia, and AVR1-CO39 all share the conserved MAX structural fold (de Guillen et al., 2015), and effectors with a similar structural core may bind HMAs. For example, an integrated HMA domain has been engineered to respond to the MAX effector AVR-Pib (Liu et al., 2021), although it is yet to be demonstrated that this effector binds host HMA targets. Identification of specific effector/HMA pairs could guide Pik-1 engineering for the recognition of new pathogens, and potentially enable the design of synthetic HMA domains capable of binding to and recognizing a broad range of pathogen effectors.

Advances in our understanding of the molecular and structural basis of NLR activation have progressed efforts for the rational engineering of NLR proteins with altered recognition profiles. Previous studies have successfully engineered integrated domains to extend recognition capacities, though so far this has either resulted in the regeneration of resistance already conferred by other NLRs (De la Concepcion et al., 2019; Cesari et al., 2022; Liu et al., 2021) or provided recognition of a protein not present in the native pathogen (Kourelis et al., 2023). In this study, we use an effector target to guide the engineering of an integrated domain to deliver two engineered Pik-1 variants with new-to-nature effector recognition profiles. The chimeric NLR Pikp-1^{OsHIPP19-mbl7} highlights the potential to incorporate diverse HMA domains without rendering the chimera autoactive. The triple mutant Pikp-1^SNK-EKE illustrates the benefit of structural/biochemical characterization of effector-target interactions to inform rational engineering. Crucially, both engineered NLR proteins deliver novel resistance in transgenic rice, and have potential for deployment in the field against M. oryzae isolates carrying the stealthy AVR-PikC and AVR-PikF alleles. This study demonstrates the value of target-guided approaches in engineering NLR proteins with new-to-nature recognition profiles. We propose that this approach could expand the ‘toolbox’ of resistance genes to counter the devastating impacts of plant pathogens on crop yields and global food security.

Materials and methods

Gene cloning for protein expression in N. benthamiana

Request a detailed protocol

For protein expression in planta, full-length Pikp-1 NLRs containing the OsHIPP19 HMA domain (and Pikp-1^{OsHIPP43-mbl7}), the Pikp-1^SNK-EKE mutation (made by introducing the S258E mutation in the HMA domain by PCR), and other HMA domain mutations were assembled using Golden Gate cloning into the plasmid pICH47742 with a C-terminal 6xHis/3xFLAG tag. Expression was driven by the A. tumefaciens Mas promoter and terminator. Full-length wild-type Pikp-1, Pikp-1^NK-KE, Pikp-2, and AVR-Pik variants used were generated as described previously (Maqbool et al., 2015; De la Concepcion et al., 2018; De la Concepcion et al., 2021; Longya et al., 2019; De la Concepcion et al., 2019). All DNA constructs were verified by sequencing.

Gene cloning, expression, and purification of proteins for in vitro binding studies

Request a detailed protocol

For SPR, Pikp-HMA^NK-KE and Pikp-HMA^SNK-EKE (residues Gly186 – Asp264) variants were cloned into pOPIN-M (generating a 3 C protease cleavable N-terminal 6xHis:MBP-tag). AVR-PikD, AVR-PikC, and AVR-PikF (residues Glu22 – Phe93) were cloned into pOPIN-E (generating a C-terminal non-cleavable 6xHis-tag, but also including a 3 C protease cleavable N-terminal SUMO-tag, as detailed previously Maqbool et al., 2015). The Pikp-HMA^NK-KE and Pikp-HMA^SNK-EKE proteins were expressed and purified using the same pipeline as described below for obtaining protein complexes for crystallization, whereas the effectors were retained on the second pass through the 5 ml Ni²⁺-NTA column (which served to remove the SUMO tag following 3 C cleavage) requiring specific elution with elution buffer (50 mM Tris-HCl pH 8.0, 50 mM glycine, 0.5 M NaCl, 500 mM imidazole, 5% (v/v) glycerol), followed by gel filtration using a Superdex 75 26/600 column equilibrated in running buffer (20 mM HEPES pH 7.5 and 150 mM NaCl). Proteins were concentrated and stored at –80°C for further studies.

Cloning, expression, and purification of proteins for crystallization

Request a detailed protocol

For crystallization of the Pikp-HMA^NK/KE/AVR-PikC, Pikp-HMA^SNK/EKE/AVR-PikC and Pikp-HMA^SNK/EKE/AVR-PikF complexes, Pikp-HMA (residues Gly186 – Asp264) variants were cloned into pOPIN-M and AVR-PikC or AVR-PikF into pOPIN-A using InFusion cloning. Chemically competent E. coli SHuffle cells (Lobstein et al., 2012) were co-transformed with these vectors to produce 6xHis-MBP-tagged Pikp-HMA domains and untagged effectors. Cultures of these cells were grown in auto-induction media (Studier, 2005) to an OD₆₀₀ of 0.4–0.6 at 30 °C, then incubated overnight at 18 °C. Cells were harvested by centrifugation and resuspended in lysis buffer (50 mM Tris-HCl pH 8.0, 50 mM glycine, 0.5 M NaCl, 20 mM imidazole, 5% (v/v) glycerol, 1 cOmplete EDTA-free protease inhibitor cocktail tablet (Roche) per 50 ml buffer). Resuspended cells were lysed by sonication with a VibraCell sonicator (SONICS), and the whole-cell lysate was clarified by centrifugation. An AKTA Xpress (GE Healthcare) system was used to carry out a two-step purification at 4 °C. The clarified cell lysate was first injected into a 5 ml Ni²⁺-NTA column (GE Healthcare). The complexes were step-eluted with elution buffer (50 mM Tris-HCl pH 8.0, 50 mM glycine, 0.5 M NaCl, 500 mM imidazole, 5% (v/v) glycerol), and directly applied to a Superdex 75 26/600 gel filtration column equilibrated in a running buffer (20 mM HEPES pH 7.5 and 150 mM NaCl). The 6xHis-MBP tag was cleaved from Pik-HMA by incubation with 3 C protease (1 μg protease per mg of fusion protein) at 4 °C overnight and removed by passing the sample through a 5 ml Ni²⁺-NTA column connected to a 5 ml dextrin sepharose (MBPTrap) column (GE Healthcare), both equilibrated in lysis buffer. Fractions containing the relevant complexes were then concentrated and injected onto a Superdex 75 26/600 column equilibrated in running buffer. Eluted fractions containing protein complexes were concentrated to 13 mg/mL (Pikp-HMA^NK/KE/AVR-PikC), 10 or 20 mg/mL (Pikp-HMA^SNK/EKE/AVR-PikC) and 20 mg/mL (Pikp-HMA^SNK/EKE/AVR-PikF) for crystallization. Protein concentrations were determined using a Direct Detect Infrared Spectrometer (Millipore Sigma).

Protein crystallization, data collection, structure solution, refinement, and validation

Request a detailed protocol

Crystallization trials were set up in 96-well plates using an Oryx Nano robot (Douglas Instruments) with 0.3 μl of protein combined with 0.3 μl reservoir solution. Crystals of each complex were obtained in multiple conditions using the commercially available Morpheus screen (Molecular Dimensions). Crystals used for X-ray data collection were obtained from condition F8 (Pikp-HMA^NK/KE/AVR-PikC complex), D7 (Pikp-HMA^SNK/EKE/AVR-PikC), and H4 (Pikp-HMA^SNK/EKE/AVR-PikF). The crystals were snap-frozen in liquid nitrogen and shipped to Diamond Light Source for X-ray data collection. Diffraction data were collected at the Diamond Light Source, i04, and i03 beamlines (see Supplementary file 1), under proposals mx13467 and mx18565. The data were scaled and merged by Aimless in the CCP4i2 software package (Potterton et al., 2018). Each of the structures was solved by molecular replacement using PHASER (McCoy et al., 2007). The search models used were the Pikp-HMA/AVR-PikD complex (PDB entry: 5A6W) for Pikp-HMA^NK/KE/AVR-PikC, the Pikp-HMA^NK/KE/AVR-PikC complex (PDB entry: 7A8W) for Pikp-HMA^SNK/EKE/AVR-PikC, and the Pikp-HMA/AVR-PikD complex (PDB entry: 5A6W) for Pikp-HMA^SNK/EKE/AVR-PikF. Iterative cycles of the manual model building using COOT (Emsley and Cowtan, 2004) and refinement with REFMAC (Murshudov et al., 2011) were used to derive the final structures, which were validated using the tools in COOT and MolProbity (Williams et al., 2018). The final protein structures, and the data used to derive them, have been deposited at the Protein Data Bank with IDs 7A8W (Pikp-HMA^NK/KE/AVR-PikC), 7QPX (Pikp-HMA^SNK/EKE/AVR-PikC), and 7QZD (Pikp-HMA^SNK/EKE/AVR-PikF).

In vitro protein-protein interaction studies: SPR

Request a detailed protocol

SPR was performed using a Biacore T200 (Cytiva) at 25 °C and at a flow rate of 30 µl/min. The running buffer was 20 mM HEPES pH 7.5, 860 mM NaCl, and 0.1%(v/v) Tween20. Flow cell (FC) 2 of an NTA chip (GE Healthcare) was activated with 30 µl 0.5 mM NiCl₂. 30 µl of the 6xHis-tagged effector (the ligand) was immobilized on FC2 to give a response of ~250 RU. The HMA domain (the analyte) was then flowed over both FC1 and FC2 for 360 s, followed by a dissociation time of 180 s. Three separate concentrations of each HMA were tested, 4 nM, 40 nM, and 100 nM. The NTA chip was regenerated after each cycle with 30 µl 0.35 M EDTA pH 8.0. The background response from FC1 (non-specific binding of the HMA domain to the chip) was subtracted from the response from FC2. To obtain %R_max, the binding response (R_obs) was measured immediately prior to the end of injection and expressed as a percentage of the theoretical maximum response (R_max) assuming a 2:1 HMA:effector binding model for Pikp-HMA, Pikp^NK-KE-HMA, and Pikp^SNK-EKE-HMA calculated as follows:

R_{max} (RU) = \frac{M_{W} (analyte)}{M_{W} (ligand)} \times s t o i c h i o m e t r y \times l i g a n d c a p t u r e (R U)

Data analysis and visualization was carried out in R v4.1.2 (R Core Development Team, 2018) using the packages dplyr (v1.0.9 [Wickham, 2022]) and ggplot2 (v3.3.6 [Wickham, 2016]).

N. benthamiana cell death assays

Request a detailed protocol

A. tumefaciens GV3101 (C58 (rifR) Ti pMP90 (pTiC58DT-DNA) (gentR) Nopaline(pSouptetR)) cells carrying relevant Pikp-1 constructs, were resuspended in agroinfiltration media (10 mM MES pH 5.6, 10 mM MgCl2 and 150 μM acetosyringone) and mixed with A. tumefaciens GV3101 carrying Pikp-2, AVR-Pik effectors, and P19 at OD₆₀₀ 0.4, 0.4, 0.6, and 0.1, respectively. 4-week-old N. benthamiana leaves were infiltrated using a needleless syringe. N. benthamiana plants were grown in a controlled environment room at 22 °C constant temperature and 80% relative humidity, with a 16 hr photoperiod, and were returned to the same room following infiltration. Leaves were collected at 5 dpi (days post infiltration) and photographed under visible and UV light. Images shown are representative of three independent experiments, with a minimum of ten repeats (leaves) in each experiment. The cell death index used for scoring is as presented previously (De la Concepcion et al., 2018). Data analysis and visualization were carried out in R v4.1.2 (R Core Development Team, 2018) using the packages dplyr (v1.0.9 [Wickham, 2022]) and ggplot2 (v3.3.6 [Wickham, 2016]). Relevant comparisons between conditions (i.e. combinations of NLRs and effectors) in cell death assays were made using estimation methods (Ho et al., 2019) using the package besthr (v0.2.0 [MacLean, 2022]). Mean scores were calculated for each condition and each biological replicate. These means were ranked, and a mean rank was calculated for each condition. Bootstrapping was then used to estimate the confidence interval of the mean rank of each condition. 1000 samples were drawn (with replacement) from the values present in the dataset, and the mean rank was calculated for each of these samples to give a distribution of mean rank estimates. The 2.5 and 97.5 quantiles were determined. Conditions are considered to be different if their means lie outside the 2.5 and 97.5 quantiles.

Confirmation of protein production in cell death assays by western blot analysis

Request a detailed protocol

Western blot analysis was used to confirm the presence of proteins in N. benthamiana during cell death assays. Three leaf discs were taken at 2 dpi, flash-frozen in liquid nitrogen, and ground to a fine powder using a micropestle. Leaf powder was mixed with 300 μl of plant protein extraction buffer (GTEN (25 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, 10 % v/v glycerol), 10 mM DTT, 2% (w/v) PVPP, 0.1% Tween–20, 1 x plant protease inhibitor cocktail (Sigma)). The sample was clarified by centrifugation (20,000 × g for 2 min at 4 °C, twice) and 40 μL of the resulting supernatant was added to 10 μL SDS-PAGE loading dye (RunBlue 4 x LDS sample buffer (Expedeon)), followed by incubation at 95 °C for 5 min.

Samples were subjected to SDS-PAGE/western blot analysis to detect epitope-tagged proteins. Pikp-1, Pikp-2, and AVR-Pik effectors were detected by probing membranes with anti-FLAG-HRP (Generon, 1:10,000 dilution), anti-HA-HRP (Thermo Fisher Scientific, 1:3000 dilution) and anti-Myc-HRP (Santa Cruz, 1:5000 dilution) antibodies, respectively, and LumiBlue ECL Extreme (Expedeon). Membranes were also stained with Ponceau S to observe protein loading.

In planta protein-protein interaction studies: co-immunoprecipitation

Request a detailed protocol

For co-immunoprecipitation assays, three leaves were harvested at 3 dpi and flash-frozen in liquid nitrogen. Leaf tissue was ground to a fine powder in liquid nitrogen using a pre-chilled pestle and mortar and resuspended in ice-cold plant protein extraction buffer (2 ml/mg of powder). Plant cell debris was pelleted by centrifugation at 4200 × g for 30 min at 4 °C and the supernatant was filtered through a 0.45 μm membrane. 20 μL of filtered extracts were combined with 5 μL SDS-PAGE loading dye as input samples. For immunoprecipitation, 1 mL of filtered protein extract was mixed with 40 μL of anti-FLAG M2 magnetic beads (Merck, formerly Sigma-Aldrich) (equilibrated in GTEN +0.1% Tween-20 prior to use) in a rotary mixer for 1 hr at 4 °C. The beads were washed 5 X in ice-cold IP buffer by separating the beads using a magnetic rack, and the proteins were eluted by resuspending the beads in 30 μL SDS loading buffer and incubating at 70 °C for 10 min. Following SDS-PAGE and transfer, membranes were probed with antibodies as above.

Fungal strains and transformation

Request a detailed protocol

To generate M. oryzae Sasa2 harboring different AVR-Pik alleles or AVR-Pii, Sasa2 was transformed individually with expression vectors for AVR-PikC, -PikD, and -PikF and AVR-Pii. The expression vectors used for generating transgenic M. oryzae Sasa2 were pCB1531:AVR-Pii promoter:AVR-Pii constructed by Yoshida et al., 2009, pCB1531:AVR-PikD promoter:AVR-PikC, -PikD constructed by Kanzaki et al., 2012, and pCB1531:AVR-PikD promoter:AVR-PikF, generated according to Kanzaki et al., 2012. The template DNA for AVR-PikF was synthesized by GENEWIZ (Genewiz, Saitama, Japan). These expression vectors were used to transform Sasa2 (lacking AVR-PikD alleles and AVR-Pii) following the method of Sweigard et al., 1997.

Rice transformation and confirmation of transgene expression

Request a detailed protocol

To generate constructs for rice transformation, Golden Gate Level 1 constructs encoding a hygromycin resistance cassette (35 S promoter/nos terminator), untagged Pikp-1/Pikp-1^{OsHIPP19-mbl7}/Pikp-1^SNK-EKE with the NLR flanked by the 35 S promoter and terminator, and untagged Pikp-2 also flanked by the 35 S promoter and terminator were assembled by Golden Gate assembly into the Level 2 vector pICSL4723. The resulting Level 2 constructs contained the hygromycin resistance cassette, 35 S::Pikp-1/Pikp-1^{OsHIPP19-mbl7}/Pikp-1^SNK-EKE, and 35 S::Pikp-2. These constructs were introduced into Agrobacterium tumefaciens (strain EHA105) and used for Agrobacterium-mediated transformation of Oryza sativa cv. Nipponbare follows the method of Okuyama et al., 2011.

PCR confirmation of the presence of Pikp-1/Pikp-2 transgenes in T₁ progenies used two primer sets, Pikp-1 (F:TGATCAAAGACCACTTCCGCGTTC +R:TGCTGCCCGCAATGTTTTCACTGC) and Pikp-2 (F:ATTGTATATGTCAGCCAGAAAATG +R:TCCTCAGGGACTTGCTCGTCTAC) that amplify Pikp-1 and Pikp-2, respectively.

To confirm transgene expression, total RNA was extracted from leaves using an SV Total RNA Isolation System (Promega, WI, USA) and used for RT-PCR. cDNA was synthesized from 500 ng total RNA using a Prime Script RT Reagent Kit (Takara Bio, Otsu, Japan). RT-PCR was performed using three primer sets, Pikp-1 (F:TGATCAAAGACCACTTCCGCGTTC +R:TGCTGCCCGCAATGTTTTCACTGC), Pikp-2 (F:ATTGTATATGTCAGCCAGAAAATG +R:TCCTCAGGGACTTGCTCGTCTAC) and OsActin (F: CTGAAGAGCATCCTGTATTG +R: GAACCTTTCTGCTCCGATGG) that amplify Pikp-1, Pikp-2, and OsActin, respectively.

Disease resistance/virulence assays in rice

Request a detailed protocol

Rice leaf blade punch inoculation was performed using the M. oryzae isolates. A conidial suspension (3 × 10⁵ conidia mL⁻¹) was punch inoculated onto a rice leaf one month after seed sowing. The inoculated plants were placed in a dark dew chamber at 27 °C for 24 hr and then transferred to a growth chamber with a 16 hr light/8 hr dark photoperiod. Disease lesions were scanned at 7 days post-inoculation (dpi), and lesion size was measured manually using Image J software (Schneider et al., 2012).

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

References

1. Arora S
2. Steuernagel B
3. Gaurav K
4. Chandramohan S
5. Long Y
6. Matny O
7. Johnson R
8. Enk J
9. Periyannan S
10. Singh N
11. Asyraf Md Hatta M
12. Athiyannan N
13. Cheema J
14. Yu G
15. Kangara N
16. Ghosh S
17. Szabo LJ
18. Poland J
19. Bariana H
20. Jones JDG
21. Bentley AR
22. Ayliffe M
23. Olson E
24. Xu SS
25. Steffenson BJ
26. Lagudah E
27. Wulff BBH
(2019) Resistance gene cloning from a wild crop relative by sequence capture and association genetics
Nature Biotechnology 37:139–143.

https://doi.org/10.1038/s41587-018-0007-9
- PubMed
- Google Scholar
1. Ashikawa I
2. Hayashi N
3. Yamane H
4. Kanamori H
5. Wu J
6. Matsumoto T
7. Ono K
8. Yano M
(2008) Two adjacent nucleotide-binding site-leucine-rich repeat class genes are required to confer Pikm-specific rice blast resistance
Genetics 180:2267–2276.

https://doi.org/10.1534/genetics.108.095034
- PubMed
- Google Scholar
1. Bailey PC
2. Schudoma C
3. Jackson W
4. Baggs E
5. Dagdas G
6. Haerty W
7. Moscou M
8. Krasileva KV
(2018) Dominant integration locus drives continuous diversification of plant immune receptors with exogenous domain fusions
Genome Biology 19:23.

https://doi.org/10.1186/s13059-018-1392-6
- PubMed
- Google Scholar
1. Bentham AR
2. Petit-Houdenot Y
3. Win J
4. Chuma I
5. Terauchi R
6. Banfield MJ
7. Kamoun S
8. Langner T
(2021) A single amino acid polymorphism in a conserved effector of the multihost blast fungus pathogen expands host-target binding spectrum
PLOS Pathogens 17:e1009957.

https://doi.org/10.1371/journal.ppat.1009957
- PubMed
- Google Scholar
1. Białas A
2. Langner T
3. Harant A
4. Contreras MP
5. Stevenson CE
6. Lawson DM
7. Sklenar J
8. Kellner R
9. Moscou MJ
10. Terauchi R
11. Banfield MJ
12. Kamoun S
(2021) Two NLR immune receptors acquired high-affinity binding to a fungal effector through convergent evolution of their integrated domain
eLife 10:e66961.

https://doi.org/10.7554/eLife.66961
- PubMed
- Google Scholar
1. Cesari S
2. Thilliez G
3. Ribot C
4. Chalvon V
5. Michel C
6. Jauneau A
7. Rivas S
8. Alaux L
9. Kanzaki H
10. Okuyama Y
11. Morel J-B
12. Fournier E
13. Tharreau D
14. Terauchi R
15. Kroj T
(2013) The rice resistance protein pair RGA4/RGA5 recognizes the Magnaporthe oryzae effectors AVR-Pia and AVR1-CO39 by direct binding
The Plant Cell 25:1463–1481.

https://doi.org/10.1105/tpc.112.107201
- PubMed
- Google Scholar
1. Cesari S
2. Bernoux M
3. Moncuquet P
4. Kroj T
5. Dodds PN
(2014) A novel conserved mechanism for plant NLR protein pairs: the "integrated decoy'' hypothesis
Frontiers in Plant Science 5:606.

https://doi.org/10.3389/fpls.2014.00606
- PubMed
- Google Scholar
1. Cesari S
2. Xi Y
3. Declerck N
4. Chalvon V
5. Mammri L
6. Pugnière M
7. Henriquet C
8. de Guillen K
9. Padilla A
10. Kroj T
(2022) Design of a new effector recognition specificity in a plant NLR immune receptor by molecular engineering of its integrated decoy domain
Nature Communications 13:1524.

https://doi.org/10.1101/2021.04.24.441256
- Google Scholar
1. Cowan GH
2. Roberts AG
3. Jones S
4. Kumar P
5. Kalyandurg PB
6. Gil JF
7. Savenkov EI
8. Hemsley PA
9. Torrance L
(2018) Potato mop-top virus co-opts the stress sensor HIPP26 for long-distance movement
Plant Physiology 176:2052–2070.

https://doi.org/10.1104/pp.17.01698
- PubMed
- Google Scholar
1. de Guillen K
2. Ortiz-Vallejo D
3. Gracy J
4. Fournier E
5. Kroj T
6. Padilla A
7. Xu J-R
(2015) Structure analysis uncovers a highly diverse but structurally conserved effector family in phytopathogenic fungi
PLOS Pathogens 11:e1005228.

https://doi.org/10.1371/journal.ppat.1005228
- Google Scholar
(2018) Polymorphic residues in rice NLRs expand binding and response to effectors of the blast pathogen
Nature Plants 4:576–585.

https://doi.org/10.1038/s41477-018-0194-x
- Google Scholar
(2019) Protein engineering expands the effector recognition profile of a rice NLR immune receptor
eLife 8:e47713.

https://doi.org/10.7554/eLife.47713
- Google Scholar
(2021) The allelic rice immune receptor Pikh confers extended resistance to strains of the blast fungus through a single polymorphism in the effector binding interface
PLOS Pathogens 17:e1009368.

https://doi.org/10.1371/journal.ppat.1009368
- Google Scholar
1. Deslandes L
2. Olivier J
3. Peeters N
4. Feng DX
5. Khounlotham M
6. Boucher C
7. Somssich I
8. Genin S
9. Marco Y
(2003) Physical interaction between RRS1-R, a protein conferring resistance to bacterial wilt, and PopP2, a type III effector targeted to the plant nucleus
PNAS 100:8024–8029.

https://doi.org/10.1073/pnas.1230660100
- PubMed
- Google Scholar
1. Emsley P
2. Cowtan K
(2004) Coot: model-building tools for molecular graphics
Acta Crystallographica. Section D, Biological Crystallography 60:2126–2132.

https://doi.org/10.1107/S0907444904019158
- PubMed
- Google Scholar
1. Farnham G
2. Baulcombe DC
(2006) Artificial evolution extends the spectrum of viruses that are targeted by a disease-resistance gene from potato
PNAS 103:18828–18833.

https://doi.org/10.1073/pnas.0605777103
- Google Scholar
1. Fukuoka S
2. Saka N
3. Koga H
4. Ono K
5. Shimizu T
6. Ebana K
7. Hayashi N
8. Takahashi A
9. Hirochika H
10. Okuno K
11. Yano M
(2009) Loss of function of a proline-containing protein confers durable disease resistance in rice
Science 325:998–1001.

https://doi.org/10.1126/science.1175550
- PubMed
- Google Scholar
(2020) A framework for gene mapping in wheat demonstrated using the Yr7 yellow rust resistance gene
PLOS ONE 15:e0231157.

https://doi.org/10.1371/journal.pone.0231157
- PubMed
- Google Scholar
1. Giannakopoulou A
2. Steele JFC
3. Segretin ME
4. Bozkurt TO
5. Zhou J
6. Robatzek S
7. Banfield MJ
8. Pais M
9. Kamoun S
(2015) Tomato I2 immune receptor can be engineered to confer partial resistance to the oomycete Phytophthora infestans in addition to the fungus Fusarium oxysporum
Molecular Plant-Microbe Interactions 28:1316–1329.

https://doi.org/10.1094/MPMI-07-15-0147-R
- PubMed
- Google Scholar
(2013) Stepwise artificial evolution of a plant disease resistance gene
PNAS 110:21189–21194.

https://doi.org/10.1073/pnas.1311134110
- Google Scholar
1. Helm M
2. Qi M
3. Sarkar S
4. Yu H
5. Whitham SA
6. Innes RW
(2019) Engineering a decoy substrate in soybean to enable recognition of the soybean mosaic virus NIa protease
Molecular Plant-Microbe Interactions 32:760–769.

https://doi.org/10.1094/MPMI-12-18-0324-R
- PubMed
- Google Scholar
1. Ho J
2. Tumkaya T
3. Aryal S
4. Choi H
5. Claridge-Chang A
(2019) Moving beyond P values: data analysis with estimation graphics
Nature Methods 16:565–566.

https://doi.org/10.1038/s41592-019-0470-3
- Google Scholar
1. Hua K
2. Han P
3. Zhu J-K
(2022) Improvement of base editors and prime editors advances precision genome engineering in plants
Plant Physiology 188:1795–1810.

https://doi.org/10.1093/plphys/kiab591
- PubMed
- Google Scholar
1. Huh SU
2. Cevik V
3. Ding P
4. Duxbury Z
5. Ma Y
6. Tomlinson L
7. Sarris PF
8. Jones JDG
(2017) Protein-Protein interactions in the RPS4/RRS1 immune receptor complex
PLOS Pathogens 13:e1006376.

https://doi.org/10.1371/journal.ppat.1006376
- PubMed
- Google Scholar
1. Jones JDG
2. Dangl JL
(2006) The plant immune system
Nature 444:323–329.

https://doi.org/10.1038/nature05286
- PubMed
- Google Scholar
(2016) Intracellular innate immune surveillance devices in plants and animals
Science 354:aaf6395.

https://doi.org/10.1126/science.aaf6395
- PubMed
- Google Scholar
1. Jupe F
2. Witek K
3. Verweij W
4. Sliwka J
5. Pritchard L
6. Etherington GJ
7. Maclean D
8. Cock PJ
9. Leggett RM
10. Bryan GJ
11. Cardle L
12. Hein I
13. Jones JDG
(2013) Resistance gene enrichment sequencing (renseq) enables reannotation of the NB-LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations
The Plant Journal 76:530–544.

https://doi.org/10.1111/tpj.12307
- PubMed
- Google Scholar
1. Kanzaki H
2. Yoshida K
3. Saitoh H
4. Fujisaki K
5. Hirabuchi A
6. Alaux L
7. Fournier E
8. Tharreau D
9. Terauchi R
(2012) Arms race co-evolution of Magnaporthe oryzae AVR-Pik and rice Pik genes driven by their physical interactions
The Plant Journal 72:894–907.

https://doi.org/10.1111/j.1365-313X.2012.05110.x
- PubMed
- Google Scholar
1. Kim SH
2. Qi D
3. Ashfield T
4. Helm M
5. Innes RW
(2016) Using decoys to expand the recognition specificity of a plant disease resistance protein
Science 351:684–687.

https://doi.org/10.1126/science.aad3436
- PubMed
- Google Scholar
1. Kourelis J
2. van der Hoorn RAL
(2018) Defended to the nines: 25 years of resistance gene cloning identifies nine mechanisms for R protein function
The Plant Cell 30:285–299.

https://doi.org/10.1105/tpc.17.00579
- PubMed
- Google Scholar
(2023) NLR immune receptor-nanobody fusions confer plant disease resistance
Science 379:934–939.

https://doi.org/10.1126/science.abn4116
- PubMed
- Google Scholar
1. Krissinel E
2. Henrick K
(2009) Inference of macromolecular assemblies from crystalline state
Journal of Molecular Biology 372:774–797.

https://doi.org/10.1016/j.jmb.2007.05.022
- PubMed
- Google Scholar
(2016) Integration of decoy domains derived from protein targets of pathogen effectors into plant immune receptors is widespread
The New Phytologist 210:618–626.

https://doi.org/10.1111/nph.13869
- PubMed
- Google Scholar
1. Le Roux C
2. Huet G
3. Jauneau A
4. Camborde L
5. Trémousaygue D
6. Kraut A
7. Zhou B
8. Levaillant M
9. Adachi H
10. Yoshioka H
11. Raffaele S
12. Berthomé R
13. Couté Y
14. Parker JE
15. Deslandes L
(2015) A receptor pair with an integrated decoy converts pathogen disabling of transcription factors to immunity
Cell 161:1074–1088.

https://doi.org/10.1016/j.cell.2015.04.025
- PubMed
- Google Scholar
1. Liu Y
2. Zhang X
3. Yuan G
4. Wang D
5. Zheng Y
6. Ma M
7. Guo L
8. Bhadauria V
9. Peng Y-L
10. Liu J
(2021) A designer rice NLR immune receptor confers resistance to the rice blast fungus carrying noncorresponding avirulence effectors
PNAS 118:e2110751118.

https://doi.org/10.1073/pnas.2110751118
- PubMed
- Google Scholar
1. Lobstein J
2. Emrich CA
3. Jeans C
4. Faulkner M
5. Riggs P
6. Berkmen M
(2012) SHuffle, a novel Escherichia coli protein expression strain capable of correctly folding disulfide bonded proteins in its cytoplasm
Microbial Cell Factories 11:56.

https://doi.org/10.1186/1475-2859-11-56
- PubMed
- Google Scholar
(2019) Gene duplication and mutation in the emergence of a novel aggressive allele of the AVR-Pik effector in the rice blast fungus
Molecular Plant-Microbe Interactions 32:740–749.

https://doi.org/10.1094/MPMI-09-18-0245-R
- PubMed
- Google Scholar
Software
1. MacLean D
(2022) Besthr: generating bootstrap estimation distributions of HR data
Besthr.

https://CRAN.R-project.org/package=besthr
(2021) Multiple variants of the fungal effector AVR-Pik bind the HMA domain of the rice protein OsHIPP19, providing a foundation to engineer plant defense
The Journal of Biological Chemistry 296:100371.

https://doi.org/10.1016/j.jbc.2021.100371
- PubMed
- Google Scholar
(2015) Structural basis of pathogen recognition by an integrated HMA domain in a plant NLR immune receptor
eLife 4:e08709.

https://doi.org/10.7554/eLife.08709
- PubMed
- Google Scholar
1. Mascher M
2. Jost M
3. Kuon J-E
4. Himmelbach A
5. Aßfalg A
6. Beier S
7. Scholz U
8. Graner A
9. Stein N
(2014) Mapping-by-sequencing accelerates forward genetics in barley
Genome Biology 15:R78.

https://doi.org/10.1186/gb-2014-15-6-r78
- PubMed
- Google Scholar
(2007) Phaser crystallographic software
Journal of Applied Crystallography 40:658–674.

https://doi.org/10.1107/S0021889807021206
- PubMed
- Google Scholar
1. Molla KA
2. Sretenovic S
3. Bansal KC
4. Qi Y
(2021) Precise plant genome editing using base editors and prime editors
Nature Plants 7:1166–1187.

https://doi.org/10.1038/s41477-021-00991-1
- PubMed
- Google Scholar
1. Mukhi N
2. Brown H
3. Gorenkin D
4. Ding P
5. Bentham AR
6. Stevenson CEM
7. Jones JDG
8. Banfield MJ
(2021) Perception of structurally distinct effectors by the integrated WRKY domain of a plant immune receptor
PNAS 118:e2113996118.

https://doi.org/10.1073/pnas.2113996118
- PubMed
- Google Scholar
1. Murshudov GN
2. Skubák P
3. Lebedev AA
4. Pannu NS
5. Steiner RA
6. Nicholls RA
7. Winn MD
8. Long F
9. Vagin AA
(2011) REFMAC5 for the refinement of macromolecular crystal structures
Acta Crystallographica. Section D, Biological Crystallography 67:355–367.

https://doi.org/10.1107/S0907444911001314
- PubMed
- Google Scholar
Preprint
1. Oikawa K
2. Fujisaki K
3. Shimizu M
4. Takeda T
5. Saitoh H
6. Hirabuchi A
7. Hiraka Y
8. Białas A
9. Langner T
10. Kellner R
11. Bozkurt TO
12. Cesari S
13. Kroj T
14. Maidment JHR
15. Banfield MJ
16. Kamoun S
17. Terauchi R
(2020) The Blast Pathogen Effector AVR-Pik Binds and Stabilizes Rice Heavy Metal-Associated (HMA) Proteins to Co-Opt Their Function in Immunity
bioRxiv.

https://doi.org/10.1101/2020.12.01.406389
- Google Scholar
1. Okuyama Y
2. Kanzaki H
3. Abe A
4. Yoshida K
5. Tamiru M
6. Saitoh H
7. Fujibe T
8. Matsumura H
9. Shenton M
10. Galam DC
11. Undan J
12. Ito A
13. Sone T
14. Terauchi R
(2011) A multifaceted genomics approach allows the isolation of the rice Pia-blast resistance gene consisting of two adjacent NBS-LRR protein genes
The Plant Journal 66:467–479.

https://doi.org/10.1111/j.1365-313X.2011.04502.x
- PubMed
- Google Scholar
1. Ortiz D
2. de Guillen K
3. Cesari S
4. Chalvon V
5. Gracy J
6. Padilla A
7. Kroj T
(2017) Recognition of the Magnaporthe oryzae effector AVR-Pia by the decoy domain of the rice NLR immune receptor RGA5
The Plant Cell 29:156–168.

https://doi.org/10.1105/tpc.16.00435
- PubMed
- Google Scholar
1. Potterton L
2. Agirre J
3. Ballard C
4. Cowtan K
5. Dodson E
6. Evans PR
7. Jenkins HT
8. Keegan R
9. Krissinel E
10. Stevenson K
11. Lebedev A
12. McNicholas SJ
13. Nicholls RA
14. Noble M
15. Pannu NS
16. Roth C
17. Sheldrick G
18. Skubak P
19. Turkenburg J
20. Uski V
21. von Delft F
22. Waterman D
23. Wilson K
24. Winn M
25. Wojdyr M
(2018) CCP4i2: the new graphical user interface to the CCP4 program suite
Acta Crystallographica. Section D, Structural Biology 74:68–84.

https://doi.org/10.1107/S2059798317016035
- PubMed
- Google Scholar
1. Pottinger SE
2. Bak A
3. Margets A
4. Helm M
5. Tang L
6. Casteel C
7. Innes RW
(2020) Optimizing the PBS1 decoy system to confer resistance to potyvirus infection in Arabidopsis and soybean
Molecular Plant-Microbe Interactions 33:932–944.

https://doi.org/10.1094/MPMI-07-19-0190-R
- PubMed
- Google Scholar
1. Pottinger SE
2. Innes RW
(2020) RPS5-mediated disease resistance: fundamental insights and translational applications
Annual Review of Phytopathology 58:139–160.

https://doi.org/10.1146/annurev-phyto-010820-012733
- PubMed
- Google Scholar
1. Radakovic ZS
2. Anjam MS
3. Escobar E
4. Chopra D
5. Cabrera J
6. Silva AC
7. Escobar C
8. Sobczak M
9. Grundler FMW
10. Siddique S
(2018) Arabidopsis HIPP27 is a host susceptibility gene for the beet cyst nematode Heterodera schachtii
Molecular Plant Pathology 19:1917–1928.

https://doi.org/10.1111/mpp.12668
- PubMed
- Google Scholar
1. Raffaele S
2. Win J
3. Cano LM
4. Kamoun S
(2010) Analyses of genome architecture and gene expression reveal novel candidate virulence factors in the secretome of Phytophthora infestans
BMC Genomics 11:637.

https://doi.org/10.1186/1471-2164-11-637
- PubMed
- Google Scholar
Book
1. R Core Development Team
(2018)
R: A Language and Environment for Statistical Computing

Vienna, Austria): R Foundation for Statistical Computing.
- Google Scholar
1. Sarris PF
2. Duxbury Z
3. Huh SU
4. Ma Y
5. Segonzac C
6. Sklenar J
7. Derbyshire P
8. Cevik V
9. Rallapalli G
10. Saucet SB
11. Wirthmueller L
12. Menke FLH
13. Sohn KH
14. Jones JDG
(2015) A plant immune receptor detects pathogen effectors that target WRKY transcription factors
Cell 161:1089–1100.

https://doi.org/10.1016/j.cell.2015.04.024
- PubMed
- Google Scholar
1. Sarris PF
2. Cevik V
3. Dagdas G
4. Jones JDG
5. Krasileva KV
(2016) Comparative analysis of plant immune receptor architectures uncovers host proteins likely targeted by pathogens
BMC Biology 14:8.

https://doi.org/10.1186/s12915-016-0228-7
- PubMed
- Google Scholar
1. Saucet SB
2. Ma Y
3. Sarris PF
4. Furzer OJ
5. Sohn KH
6. Jones JDG
(2015) Two linked pairs of Arabidopsis TNL resistance genes independently confer recognition of bacterial effector avrrps4
Nature Communications 6:6338.

https://doi.org/10.1038/ncomms7338
- PubMed
- Google Scholar
(2012) Nih image to imagej: 25 years of image analysis
Nature Methods 9:671–675.

https://doi.org/10.1038/nmeth.2089
- PubMed
- Google Scholar
(2014) Single amino acid mutations in the potato immune receptor R3a expand response to Phytophthora effectors
Molecular Plant-Microbe Interactions 27:624–637.

https://doi.org/10.1094/MPMI-02-14-0040-R
- PubMed
- Google Scholar
1. Studier FW
(2005) Protein production by auto-induction in high density shaking cultures
Protein Expression and Purification 41:207–234.

https://doi.org/10.1016/j.pep.2005.01.016
- PubMed
- Google Scholar
(1997) A series of vectors for fungal transformation
Fungal Genetics Reports 44:52–53.

https://doi.org/10.4148/1941-4765.1287
- Google Scholar
Preprint
1. Wang S
2. Huang W
3. Duxbury Z
4. Hogenhout SA
5. Jones JDG
(2021) Novel Effector Recognition Capacity Engineered into a Paired NLR Complex
bioRxiv.

https://doi.org/10.1101/2021.09.06.459143
- Google Scholar
Book
1. Wickham H
(2016)
Ggplot2: Elegant Graphics for Data Analysis

New York, USA: Springer.
- Google Scholar
Software
1. Wickham HK
(2022) Dplyr: a grammar of data manipulation, version 1.1.2
Dplyr.

https://dplyr.tidyverse.org/
1. Williams CJ
2. Headd JJ
3. Moriarty NW
4. Prisant MG
5. Videau LL
6. Deis LN
7. Verma V
8. Keedy DA
9. Hintze BJ
10. Chen VB
11. Jain S
12. Lewis SM
13. Arendall WB
14. Snoeyink J
15. Adams PD
16. Lovell SC
17. Richardson JS
18. Richardson DC
(2018) MolProbity: more and better reference data for improved all-atom structure validation
Protein Science 27:293–315.

https://doi.org/10.1002/pro.3330
- PubMed
- Google Scholar
1. Yoshida K
2. Saitoh H
3. Fujisawa S
4. Kanzaki H
5. Matsumura H
6. Yoshida K
7. Tosa Y
8. Chuma I
9. Takano Y
10. Win J
11. Kamoun S
12. Terauchi R
(2009) Association genetics reveals three novel avirulence genes from the rice blast fungal pathogen Magnaporthe oryzae
The Plant Cell 21:1573–1591.

https://doi.org/10.1105/tpc.109.066324
- PubMed
- Google Scholar
1. Yoshida K
2. Saunders DGO
3. Mitsuoka C
4. Natsume S
5. Kosugi S
6. Saitoh H
7. Inoue Y
8. Chuma I
9. Tosa Y
10. Cano LM
11. Kamoun S
12. Terauchi R
(2016) Host specialization of the blast fungus Magnaporthe oryzae is associated with dynamic gain and loss of genes linked to transposable elements
BMC Genomics 17:370.

https://doi.org/10.1186/s12864-016-2690-6
- PubMed
- Google Scholar
(2020) The rice NLR pair Pikp-1/Pikp-2 initiates cell death through receptor cooperation rather than negative regulation
PLOS ONE 15:e0238616.

https://doi.org/10.1371/journal.pone.0238616
- PubMed
- Google Scholar
1. Zschiesche W
2. Barth O
3. Daniel K
4. Böhme S
5. Rausche J
6. Humbeck K
(2015) The zinc-binding nuclear protein HIPP3 acts as an upstream regulator of the salicylate-dependent plant immunity pathway and of flowering time in Arabidopsis thaliana
The New Phytologist 207:1084–1096.

https://doi.org/10.1111/nph.13419
- PubMed
- Google Scholar

Article and author information

Author details

Josephine HR Maidment

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Present address
PHIM Plant Health Institute, University of Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France

Contribution
Conceptualization, Resources, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing – original draft, Project administration, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-8229-2718
Motoki Shimizu

Division of Genomics and Breeding, Iwate Biotechnology Research Center, Iwate, Japan

Contribution
Conceptualization, Resources, Formal analysis, Validation, Investigation, Visualization, Methodology, Project administration, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-5622-5554
Adam R Bentham

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Contribution
Resources, Validation, Investigation, Visualization, Methodology, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0001-5906-0962
Sham Vera

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Present address
ETH Zurich, Institute of Molecular Plant Biology, Plant Evolutionary Genetics Group, Zürich, Switzerland

Contribution
Resources, Investigation, Methodology, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-1092-7905
Marina Franceschetti

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Contribution
Supervision, Investigation, Methodology, Writing – review and editing

Competing interests
No competing interests declared
Apinya Longya

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Present address
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand

Contribution
Resources, Investigation, Writing – review and editing

Competing interests
No competing interests declared
Clare EM Stevenson

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Contribution
Methodology, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0001-6695-8201
Juan Carlos De la Concepcion

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Present address
Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna, Austria

Contribution
Resources, Investigation, Methodology, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-7642-8375
Aleksandra Białas

The Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, United Kingdom

Contribution
Resources, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-1135-2189
Sophien Kamoun

The Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, United Kingdom

Contribution
Conceptualization, Supervision, Funding acquisition, Methodology, Project administration, Writing – review and editing

Competing interests
receives funding from industry on NLR biology

"This ORCID iD identifies the author of this article:" 0000-0002-0290-0315
Ryohei Terauchi
1. Division of Genomics and Breeding, Iwate Biotechnology Research Center, Iwate, Japan
2. Laboratory of Crop Evolution, Graduate School of Agriculture, Kyoto University, Kyoto, Japan
Contribution
Conceptualization, Supervision, Funding acquisition, Methodology, Project administration, Writing – review and editing

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-0095-4651
Mark J Banfield

Department of Biological Chemistry, John Innes Centre, Norwich, United Kingdom

Contribution
Conceptualization, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing – original draft, Project administration, Writing – review and editing

For correspondence
Mark.banfield@jic.ac.uk

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0001-8921-3835

Funding

Biotechnology and Biological Sciences Research Council (BB/M011216/1)

Josephine HR Maidment

Biotechnology and Biological Sciences Research Council (BB/P012574)

Sophien Kamoun

Biotechnology and Biological Sciences Research Council (BBS/E/J/000PR9795)

Sophien Kamoun

Biotechnology and Biological Sciences Research Council (BB/M02198X)

Marina Franceschetti
Mark J Banfield

European Research Council (743165)

Adam R Bentham

Royal Golden Jubilee (PHD/0152/2556)

Apinya Longya

John Innes Foundation

Juan Carlos De la Concepcion

Gatsby Charitable Foundation

Aleksandra Białas

JIC Excellence with Impact

Sham Vera

Japan Society for the Promotion of Science (KAKENHI 15H05779 and 20H05681)

Motoki Shimizu

ERASMUS

Sham Vera

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

This work was supported by the UKRI Biotechnology and Biological Sciences Research Council (BBSRC) Norwich Research Park Biosciences Doctoral Training Partnership, UK [grant BB/M011216/1]; the UKRI BBSRC, UK [grants BB/P012574, BBS/E/J/000PR9795, BB/M02198X], the European Research Council [ERC; proposal 743165]; The Thailand Research Fund through The Royal Golden Jubilee Ph.D. Program [PHD/0152/2556]; the John Innes Foundation; the Gatsby Charitable Foundation; The British Society for Plant Pathology (undergraduate vacation bursary); JSPS KAKENHI 15H05779 and 20H05681; JSPS/The Royal Society Bilateral Research for the project 'Retooling rice immunity for resistance against rice blast disease' (2018–2019). We would also like to thank Julia Mundy and David Lawson from the JIC Biophysical Analysis and X-ray Crystallography platform for their support with protein crystallization and X-ray data collection, Andrew Davies and Phil Robinson from JIC Scientific Photography for their help with leaf imaging, Gerhard Saalbach and Carlo de Oliveira Martins from the JIC Proteomics platform for intact mass spectrometry analysis, and Dan Maclean from The Sainsbury Laboratory for support with statistical analyses. We also thank all members of the Banfield, Kamoun, and Terauchi groups for their discussions.

Copyright

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

2,215

views
378

downloads
29

citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Mendeley

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

Josephine HR Maidment
Motoki Shimizu
Adam R Bentham
Sham Vera
Marina Franceschetti
Apinya Longya
Clare EM Stevenson
Juan Carlos De la Concepcion
Aleksandra Białas
Sophien Kamoun
Ryohei Terauchi
Mark J Banfield

(2023)

Effector target-guided engineering of an integrated domain expands the disease resistance profile of a rice NLR immune receptor

eLife 12:e81123.

https://doi.org/10.7554/eLife.81123

Share this article

Cite this article

The Pikp-1OsHIPP19-mbl7 chimera expands binding and response to previously unrecognized AVR-Pik effector variants.

Figure 1—source data 1

Figure 1—source data 2

Figure 1—source data 3

Figure 1—source data 4

Figure 1—source data 5

Figure 1—source data 6

Figure 1—source data 7

Figure 1—source data 8

Figure 1—source data 9

Figure 1—source data 10

Figure 1—source data 11

Figure 1—source data 12

Figure 1—source data 13

Structure-guided mutagenesis of Pikp-1 expands response to previously unrecognized AVR-Pik effector variants.

Figure 2—source data 1

Figure 2—source data 2

The SNK-EKE triple mutation extends Pikp-1 binding to AVR-PikC and AVR-PikF in vitro and in planta by facilitating new contacts across the protein:protein interface.

Figure 3—source data 1

Figure 3—source data 2

Figure 3—source data 3

Figure 3—source data 4

Figure 3—source data 5

Figure 3—source data 6

Figure 3—source data 7

Figure 3—source data 8

Figure 3—source data 9

Figure 3—source data 10

Figure 3—source data 11

Figure 3—source data 12

Transgenic rice plants carrying the Pikp-1OsHIPP19mbl7 chimera or the Pikp-1SNK-EKE mutation show extended resistance to Magnaporthe oryzae carrying AVR-PikC or AVR-PikF compared to Pikp-1 wild-type.

Figure 4—source data 1

Author details

Josephine HR Maidment

Present address

Contribution

Competing interests

Motoki Shimizu

Contribution

Competing interests

Adam R Bentham

Contribution

Competing interests

Sham Vera

Present address

Contribution

Competing interests

Marina Franceschetti

Contribution

Competing interests

Apinya Longya

Present address

Contribution

Competing interests

Clare EM Stevenson

Contribution

Competing interests

Juan Carlos De la Concepcion

Present address

Contribution

Competing interests

Aleksandra Białas

Contribution

Competing interests

Sophien Kamoun

Contribution

Competing interests

Ryohei Terauchi

Contribution

Competing interests

Mark J Banfield

Contribution

For correspondence

Competing interests

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

Categories and tags

The Pikp-1^{OsHIPP19-mbl7} chimera expands binding and response to previously unrecognized AVR-Pik effector variants.

Transgenic rice plants carrying the Pikp-1^OsHIPP19mbl7 chimera or the Pikp-1^SNK-EKE mutation show extended resistance to Magnaporthe oryzae carrying AVR-PikC or AVR-PikF compared to Pikp-1 wild-type.