Search

Many resistance genes deployed against pathogens in crops are intracellular nucleotide-binding leucine-rich repeat receptors (NLRs). The ability to rationally engineer the specificity of NLRs will be crucial in the response to newly emerging crop diseases. Successful attempts to modify NLR recognition have been limited to untargeted approaches or depended on previously available structural information or knowledge of pathogen-effector targets. However, this information is not available for most NLR-effector pairs. Here, we demonstrate the precise prediction and subsequent transfer of residues involved in effector recognition between two closely related NLRs without their experimentally determined structure or detailed knowledge about their pathogen effector targets. By combining phylogenetics, allele diversity analysis, and structural modeling, we successfully predicted residues mediating interaction of Sr50 with its cognate effector AvrSr50 and transferred Sr50’s recognition specificity to the closely related NLR Sr33. We created synthetic versions of Sr33 that contain amino acids from Sr50, including Sr33syn that gained the ability to recognize AvrSr50 with 12 amino acid substitutions. Furthermore, we discovered that sites in the leucine rich-repeat domain needed to transfer recognition specificity to Sr33 also influence auto-activity in Sr50. Structural modeling suggests these residues interact with a part of the NB-ARC domain, which we named the NB-ARC latch, to possibly maintain the inactive state of the receptor. Our approach demonstrates rational modifications of NLRs, which could be useful to enhance existing elite crop germplasm.

Plants possess cytoplasmic immune receptors called nucleotide-binding leucine-rich repeat receptors (NLRs) that recognize the presence of a pathogen through a range of mechanisms: direct binding of effectors or indirect recognition of effector actions. The direct binding of effectors has been shown to be mediated through the NLR’s leucine-rich repeat (LRR) domain. Accurate prediction of amino acids involved in these direct interactions can greatly enhance understanding of effector recognition and inform efforts to engineer new resistance. In this study, we utilized two homologous NLR resistance genes from wheat, Sr33 and Sr50, that recognize distinct effectors by directly binding to them through their LRR domain. While the effector recognized by Sr50 is known and described as AvrSr50, the effector recognized by Sr33 remains unknown. Through a combination of phylogenetics, allele diversity analysis in the LRR and structural modeling, we identified the amino acids in Sr50 likely to physically interact with its effector. Mutation of these sites helped identify 12 amino acids we hypothesized to be sufficient to mediate effector binding in Sr50. Changing these 12 corresponding amino acids in Sr33, we showed AvrSr50-dependent initiation of cell death in wheat protoplasts and Nicotiana benthamiana. Furthermore, we were able to pinpoint and change amino acid residues that govern autoactivity of Sr50 in the wheat protoplast cell death assay. These findings are a major advance towards the successful engineering of new effector recognition specificities in direct binder NLRs.

Nucleotide-binding leucine-rich repeat receptors (NLRs) monitor the plant intracellular environment for signs of pathogen infection. Several mechanisms of NLR-mediated immunity arose independently across multiple species. These include the functional specialization of NLRs into sensors and helpers, the independent emergence of direct and indirect recognition within NLR subfamilies, the regulation of NLRs by small RNAs, and the formation of NLR networks. Understanding the evolutionary history of NLRs can shed light on both the origin of pathogen recognition and the common constraints on the plant immune system. Attempts to engineer disease resistance have been sparse and rarely informed by evolutionary knowledge. In this review, we discuss the evolution of NLRs, give an overview of previous engineering attempts, and propose how to use evolutionary knowledge to advance future research in the generation of novel disease-recognition capabilities.

Rapid transient elevation of cytoplasmic calcium (Ca(2+)) levels in plant cells is an early signaling event triggered by many environmental cues including abiotic and biotic stresses. Cellular Ca(2+) levels and their alterations can be monitored by genetically encoded reporter systems such as the bioluminescent protein, aequorin. Employment of proteinaceous Ca(2+) sensors is usually performed in transgenic lines that constitutively express the reporter construct. Such settings limit the usage of these Ca(2+) biosensors to particular reporter variants and plant genetic backgrounds, which can be a severe constraint in genetic pathway analysis. Here we systematically explored the potential of Arabidopsis thaliana leaf mesophyll protoplasts, either derived from a transgenic apoaequorin-expressing line or transfected with apoaequorin reporter constructs, as a complementary biological resource to monitor cytoplasmic changes of Ca(2+) levels in response to various biotic stress elicitors. We tested a range of endogenous and pathogen-derived elicitors in seedlings and protoplasts of the corresponding apoaequorin-expressing reporter line. We found that the protoplast system largely reflects the Ca(2+) signatures seen in intact transgenic seedlings. Results of inhibitor experiments including the calculation of IC50 values indicated that the protoplast system is also suitable for pharmacological studies. Moreover, analyses of Ca(2+)signatures in mutant backgrounds, genetic complementation of the mutant phenotypes and expression of sensor variants targeted to different subcellular localizations can be readily performed. Thus, in addition to the prevalent use of seedlings, the leaf mesophyll protoplast setup represents a versatile and convenient tool for the analysis of Ca(2+) signaling pathways in plant cells.