Diversity Analysis of Rhizoctonia solani Kuhn Isolates Causing Sheath Blight of Rice in Eastern Uttar Pradesh, India
Uday Kumar Thera
Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Angidi Srushtideep
Department of Plant Pathology, North Dakota State University, Fargo, ND, USA.
Naveenkumar Ramasamy
Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India and Department of Agriculture, School of Agriculture and Biosciences, Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore, Tamil Nadu, India.
Ashmita Timsina
Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
The sheath blight of rice is a devastating fungal disease, which is caused by Rhizoctonia solani AG1 IA. Twenty-one sheath blight isolates of rice were collected from different locations in eastern Uttar Pradesh, India, to study the variation in cultural, pathogenic, and molecular characterization. All the R. solani isolates were classified into four groups depending on the arrangement of sclerotia, i.e., peripheral, centre, scattered, and last group includes placing at the centre and peripheral 11, 1, 5, and 4 isolates, respectively. Depending on pathogenicity, isolates are grouped into weakly virulent, virulent, and highly virulent, representing 12, 4, and 5 isolates, respectively. The random amplified polymorphic DNA has been successfully used for molecular characterization. In our study, ITS1/ITS4 and AG-1 IA-specific markers yielded reproducible banding patterns. UPGMA cluster analysis revealed two major clusters, A and B, with a 13.85% dissimilarity value. This study does not correlate with virulence, geographical location, and RAPD profile groupings.
Keywords: Rhizoctonia solani isolates, pathogenicity, molecular characterization, diversity analysis