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False smut disease (FSD) of rice incited by Ustilaginoidea virens is an emerging threat to paddy cultivation worldwide. We investigated the spatial distribution of FSD in different paddy ecosystems of South Indian states, viz., Andhra Pradesh, Karnataka, Tamil Nadu, and Telangana, by considering the exploratory data from 111 sampling sites. Point pattern and surface interpolation analyses were carried out to identify the spatial patterns of FSD across the studied areas. The spatial clusters of FSD were confirmed by employing spatial autocorrelation and Ripley’s K function. Further, ordinary kriging (OK), indicator kriging (IK), and inverse distance weighting (IDW) were used to create spatial maps by predicting the values at unvisited locations. The agglomerative hierarchical cluster analysis using the average linkage method identified four main clusters of FSD. From the Local Moran’s I statistic, most of the areas of Andhra Pradesh and Tamil Nadu were clustered together (at I > 0), except the coastal and interior districts of Karnataka (at I < 0). Spatial patterns of FSD severity were determined by semi-variogram experimental models, and the spherical model was the best fit. Results from the interpolation technique, the potential FSD hot spots/risk areas were majorly identified in Tamil Nadu and a few traditional rice-growing ecosystems of Northern Karnataka. This is the first intensive study that attempted to understand the spatial patterns of FSD using geostatistical approaches in India. The findings from this study would help in setting up ecosystem-specific management strategies to reduce the spread of FSD in India.

Aims: To investigate the diversity of eco‐distinct isolates of Magnaporthe oryzae for their morphological, virulence and molecular diversity and relative distribution of five Avr genes. Methods and Results: Fifty‐two M. oryzae isolates were collected from different rice ecosystems of southern India. A majority of them (n = 28) formed a circular colony on culture media. Based on the disease reaction on susceptible cultivar (cv. HR‐12), all 52 isolates were classified in to highly virulent (n = 28), moderately virulent (n = 11) and less‐virulent (13) types. Among the 52 isolates, 38 were selected for deducing internal transcribed spacer (ITS) sequence diversity. For deducing phylogeny, another set of 36 isolates from other parts of the world was included, which yielded two distinct phylogenetic clusters. We identified eight haplotype groups and 91 variable sites within the ITS sequences, and haplotype‐group‐2 (Hap_2) was predominant (n = 24). The Tajima's and Fu's Fs neutrality tests exhibited many rare alleles. Furthermore, PCR analysis for detecting the presence of five Avr genes in the different M. oryzae isolates using Avr gene‐specific primers in PCR revealed that Avr‐Piz‐t, Avr‐Pik, Avr‐Pia and Avr‐Pita were present in 73.68%, 73.68%, 63.16% and 47.37% of the isolates studied, respectively; whereas, Avr‐Pii was identified only in 13.16% of the isolates. Conclusions: Morpho‐molecular and virulence studies revealed the significant diversity among eco‐distinct isolates. PCR detection of Avr genes among the M. oryzae population revealed the presence of five Avr genes. Among them, Avr‐Piz‐t, Avr‐Pik and Avr‐Pia were more predominant. Significance and Impact of the Study: The study documented the morphological and genetic variability of eco‐distinct M. oryzae isolates. This is the first study demonstrating the distribution of the Avr genes among the eco‐distinct population of M. oryzae from southern India. The information generated will help plant breeders to select appropriate resistant gene/s combinations to develop blast disease‐resistant rice cultivars. [ABSTRACT FROM AUTHOR]

False smut disease of rice caused by Ustilaginoidea virens, is an emerging threat to rice cultivation worldwide due to its detrimental effects on grain yield and quality. False smut disease severity was 4.44‒17.22% during a roving survey in Kharif 2016 in the four different rice ecosystems of Karnataka, India. Further, 15 pathogen isolates representing four different ecosystems were studied for their virulence and morphometric diversity. Among the 15 strains studied, most virulent strains Uv-Gvt was selected for whole genome sequencing in Illumina NextSeq 500 platform using 2 × 150 bp sequencing chemistry. The total assembled genome of Uv-Gvt was 26.96 Mb, which comprised of 9157 scaffolds with an N50 value of 15,934 bp and 6628 protein-coding genes. Next, the comparative genomic study revealed a similar gene inventory as UV-8b and MAFF 236576 strains reported from China and Japan, respectively. But, 1756 genes were unique to Uv-Gvt strain. The Uv-Gvt genome harbors 422 putative host–pathogen interacting genes compared to 359 and 520 genes in UV-8b and MAFF 236576 strains, respectively. The variant analysis revealed low genetic diversity (0.073‒0.088%) among U. virens strains. Further, phylogenetic analysis using 250 single copy orthologs genes of U. virens revealed a distinct phylogeny and an approximate divergence time. Our study, report the genomic resource of rice false smut pathogen from India, where the disease originated, and this information will have broader applicability in understanding the pathogen population diversity. [ABSTRACT FROM AUTHOR]