Transition metal-triggered immunity via an Arabidopsis NLR pair
Gao, C.; Chen, S.; Chen, J.; Tang, Z.; Huang, X.-Y.; Wang, P.; Dong, S.; Dangl, J. L.; Wan, L. L.; Zhao, F.-J.
Show abstract
Plants are challenged by multiple biotic (e.g. pathogens) and abiotic (e.g. heavy metals) stressors. Some transition metals can enhance plants defense against pathogens, but the mechanism remains unclear. Here, we demonstrate that an Arabidopsis head-to-head gene pair of intracellular nucleotide-binding leucine-rich repeat (NLR) receptors, both expressed in the endodermis of roots, antagonistically control transition metal-triggered immunity. One NLR, STM2 binds transition metal ions, such as Cd2+, Cu2+ and Zn2+, with its LRR domain to enhance its NAD+ hydrolytic activity and immune responses via the EDS1/PAD4/ADR1 module, triggering enhanced resistance to bacterial wilt Ralstonia solanacearum. The other NLR, STM1 suppresses STM2 to protect plants from transition metal-triggered immunity and growth inhibition in the presence of excess metals. STM1 also dampens resistance to the pathogen. Our study defines an NLR activated by transition metals and reveals a trade-off between susceptibility to pathogens and sensitivity to transition metals that are pervasive in soil.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- START domains generate paralog-specific regulons from a single network architecture 97%
- CRISPR targeting of H3K4me3 activates gene expression and unlocks centromere-proximal crossover recombination in Arabidopsis 96%
- Humidity-driven ABA depletion determines plant-pathogen competition for leaf water 96%
Similar papers in this journal
Similar papers in this journal
- PIEZO ion channel is required for root mechanotransduction in Arabidopsis thaliana 97%
- S1 basic leucine zipper transcription factors shape plant architecture by controlling C/N partitioning to apical and lateral organs 96%
- Circadian redox rhythm gates immune-induced cell death distinctly from the genetic clock 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.