Downloads provided by UsageCounts
pmid: 37602936
pmc: PMC10561179
Abstract Plants coordinately use cell‐surface and intracellular immune receptors to perceive pathogens and mount an immune response. Intracellular events of pathogen recognition are largely mediated by immune receptors of the nucleotide binding and leucine rich‐repeat (NLR) classes. Upon pathogen perception, NLRs trigger a potent broad‐spectrum immune reaction, usually accompanied by a form of programmed cell death termed the hypersensitive response. Some plant NLRs act as multifunctional singleton receptors which combine pathogen detection and immune signaling. However, NLRs can also function in higher order pairs and networks of functionally specialized interconnected receptors. In this article, we cover the basic aspects of plant NLR biology with an emphasis on NLR networks. We highlight some of the recent advances in NLR structure, function, and activation and discuss emerging topics such as modulator NLRs, pathogen suppression of NLRs, and NLR bioengineering. Multi‐disciplinary approaches are required to disentangle how these NLR immune receptor pairs and networks function and evolve. Answering these questions holds the potential to deepen our understanding of the plant immune system and unlock a new era of disease resistance breeding.
Plant Breeding, Reviews, NB-LRR, NOD, NBS-LRR, immunology, bioengineering, NLR Proteins, Plant Immunity, Plants, Receptors, Immunologic, Carrier Proteins, Disease Resistance, Plant Diseases, Plant Proteins
Plant Breeding, Reviews, NB-LRR, NOD, NBS-LRR, immunology, bioengineering, NLR Proteins, Plant Immunity, Plants, Receptors, Immunologic, Carrier Proteins, Disease Resistance, Plant Diseases, Plant Proteins
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 136 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
| views | 520 | |
| downloads | 562 |

Views provided by UsageCounts
Downloads provided by UsageCounts