Back

A novel allele of Mitogen Activated Protein Kinase 6 is linked to disease resistance and constitutive immunity in rice.

C.G., G.; Mohammed, J.; Rao, D.; Gaur, N.; Supriyo, A. R.; Sao, N.; Niranjan, D.; Tiwari, S.; Laha, G. S.; Barbadikar, K. M.; Sundaram, R. M.; Maganti, S. M.; Patel, H. K.; Sonti, R. V.

2025-03-31 plant biology
10.1101/2025.03.25.645290 bioRxiv
Show abstract

Bacterial Blight (BB) is the most serious bacterial disease of rice. Usage of resistant cultivars has been a successful strategy in controlling BB. However, constant selection pressure causes the evolution of hypervirulent pathogenic strains that break down resistance, thus necessitating additional sources of resistance. An induced-mutant line derived from the elite rice cultivar Samba Mahsuri was identified to exhibit broad-spectrum resistance to BB. Using next-generation gene mapping approaches, we identified a genomic interval in chromosome 6 to be linked to BB resistance. Analysis of the SNPs in the locus and subsequent linkage analysis indicated that a missense SNP located in the second exon of the Mitogen-Activated Protein Kinase 6 (OsMAPK6) could be the causal mutation. A detailed examination of OsMAPK6 gene sequences in over 4000 rice genomes revealed that the mutant allele identified in this study is novel to rice germplasm. The candidate SNP causes the substitution of an invariant Serine residue with a Proline residue (S84P), thus likely affecting the protein function. Global transcriptome, metabolome, biochemical, and molecular analyses suggested that BB42 exhibit constitutive immunity. On the mechanistic front, the mutation seems to result in diminished brassinosteroid signaling in BB42. Taken together, we report a novel allele of a highly conserved MAPK gene and provide evidence for its possible association with constitutive immunity and disease resistance in rice.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.