Genome-wide analysis of Carica papaya reveals a small NBS resistance gene family

Genome-wide identification of NBS-encoding resistance genes in Brassica rapa

Nucleotide-binding site (NBS)-encoding resistance genes are key plant disease-resistance genes and are abundant in plant genomes, comprising up to 2% of all genes. The availability of genome sequences from several plant models enables the identification and cloning of NBS-encoding genes from closely related species based on a comparative genomics approach. In this study, we used the genome sequence of Brassica rapa to identify NBS-encoding genes in the Brassica genome. We identified 92 non-redundant NBS-encoding genes [30 CC-NBS-LRR (CNL) and 62 TIR-NBS-LRR (TNL) genes] in approximately 100 Mbp of B. rapa euchromatic genome sequence. Despite the fact that B. rapa has a significantly larger genome than Arabidopsis thaliana due to a recent whole genome triplication event after speciation, B. rapa contains relatively small number of NBS-encoding genes compared to A. thaliana, presumably because of deletion of redundant genes related to genome diploidization. Phylogenetic and evolutionary analyses suggest that relatively higher relaxation of selective constraints on the TNL group after the old duplication event resulted in greater accumulation of TNLs than CNLs in both Arabidopsis and Brassica genomes. Recent tandem duplication and ectopic deletion are likely to have played a role in the generation of novel Brassica lineage-specific resistance genes.

NB-LRRs work a "bait and switch" on pathogens

Plant genomes encode large numbers of highly variable nucleotide binding leucine-rich repeat (NB-LRR) disease resistance proteins. These proteins have been studied extensively to understand their evolution and the molecular basis of their function. Multiple studies indicate that the C-terminal LRR domain plays a pivotal role in defining pathogen recognition specificity. However, a growing body of evidence suggests that the N-termini of NB-LRR proteins also function in pathogen recognition. To formulate a framework that can explain the underlying principles governing NB-LRR function while accommodating findings from different experimental systems, we present a "bait and switch" model. This model proposes a two-step recognition process involving interactions with both cellular cofactors (bait) and the LRR domain, which in turn activates the molecular switch leading to disease resistance.