Identification of novel resources for panicle blast resistance from wild rice accessions and mutants of cv. Nagina 22 by syringe inoculation under field conditions.

Panicle blast is the most severe type of rice blast disease. Screening of rice genotypes for panicle blast resistance at the field level requires an efficient and robust method of inoculation. Here, we standardized a method that can be utilized for both small- and large-scale screening and assessment of panicle blast infection and disease reaction. The method involves inoculation of Magnaporthe oryzae spore culture in the neck of the rice panicle using a syringe and covering the inoculation site with wet cotton wrapped with aluminum foil to provide the required humidity for spore germination. The method was standardized using panicle blast-resistant cv. Tetep and susceptible cv. HP2216 inoculated with Mo-ni-025 isolate of M. oryzae. The method was evaluated at phenotypic as well as molecular level by expression analysis of disease responsive pathogenesis-related (PR) genes. We found this method simple, robust, reliable, and highly efficient for screening of large germplasm sets of rice for panicle blast. This was validated by screening the wild rice germplasm for panicle blast response in the field using three M. oryzae strains and subsequently with the most virulent strain in 45 EMS-induced mutants of Nagina 22 shortlisted based on field screening in a blast hotspot region. We identified five novel blast disease-resistant wild rice genotypes and 15 Nagina 22 mutants that can be used in breeding programmes.

Deciphering core-microbiome of rice leaf endosphere: Revelation by metagenomic and microbiological analysis of aromatic and non-aromatic genotypes grown in three geographical zones.

We have deciphered the leaf endophytic-microbiome of aromatic (cv. Pusa Basmati-1) and non-aromatic (cv. BPT-5204) rice-genotypes grown in the mountain and plateau-zones of India by both metagenomic NGS (mNGS) and conventional microbiological methods. Microbiome analysis by sequencing V3-V4 region of ribosomal gene revealed marginally more bacterial operational taxonomic units (OTU) in the mountain zone at Palampur and Almora than plateau zone at Hazaribagh. Interestingly, the rice leaf endophytic microbiomes in mountain zone were found clustered separately from that of plateau-zone. The Bray-Curtis dissimilarity indices indicated influence of geographical location as compared to genotype per se for shaping rice endophytic microbiome composition. Bacterial phyla, Proteobacteria followed by Bacteroidetes, Firmicutes, and Actinobacteria were found abundant in all three locations. The core-microbiome analysis devulged association of Acidovorax; Acinetobacter; Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium; Aureimonas; Bradyrhizobium; Burkholderia-Caballeronia-Paraburkholderia; Enterobacter; Pantoea; Pseudomonas; Sphingomonas; and Stenotrophomonas with the leaf endosphere. The phyllosphere and spermosphere microbiota appears to have contributed to endophytic microbiota of rice leaf. SparCC network analysis of the endophytic-microbiome showed complex cooperative and competitive intra-microbial interactions among the microbial communities. Microbiological validation of mNGS data further confirmed the presence of core and transient genera such as Acidovorax, Alcaligenes, Bacillus, Chryseobacterium, Comamonas, Curtobacterium, Delftia, Microbacterium, Ochrobactrum, Pantoea, Pseudomonas, Rhizobium, Rhodococcus, Sphingobacterium, Staphylococcus, Stenotrophomonas, and Xanthomonas in the rice genotypes. We isolated, characterized and identified core-endophytic microbial communities of rice leaf for developing microbiome assisted crop management by microbiome reengineering in future.