Sheath blight caused by necrotrophic fungus Rhizoctonia solani Kühn is one of the most serious diseases of rice. Use of high yielding semi dwarf cultivars with dense planting and high dose of nitrogenous fertilizers accentuates the incidence of sheath blight in rice. Its diverse host range and ability to remain dormant under unfavorable conditions make the pathogen more difficult to manage. As there are no sources of complete resistance, management through chemical control has been the most adopted method for sheath blight management. In this review, we provide an up-to-date comprehensive description of host-pathogen interactions, various control measures such as cultural, chemical, and biological as well as utilizing host plant resistance. The section on utilizing host plant resistance includes identification of resistant sources, mapping QTLs and their validation, identification of candidate gene(s) and their introgression through marker-assisted selection. Advances and prospects of sheath blight management through biotechnological approaches such as overexpression of genes and gene silencing for transgenic development against R. solani are also discussed.

Summary: Advances in next‐generation sequencing technologies have aided discovery of millions of genome‐wide DNA polymorphisms, single nucleotide polymorphisms (SNPs) and insertions–deletions (InDels), which are an invaluable resource for marker‐assisted breeding. Whole‐genome resequencing of six elite indica rice inbreds (three cytoplasmic male sterile and three restorer lines) resulted in the generation of 338 million 75‐bp paired‐end reads, which provided 85.4% coverage of the Nipponbare genome. A total of 2 819 086 nonredundant DNA polymorphisms including 2 495 052 SNPs, 160 478 insertions and 163 556 deletions were discovered between the inbreds and Nipponbare, providing an average of 6.8 SNPs/kb across the genome. Distribution of SNPs and InDels in the chromosome was nonrandom with SNP‐rich and SNP‐poor regions being evident across the genome. A contiguous 4.3‐Mb region on chromosome 5 with extremely low SNP density was identified. Overall, 83 262 nonsynonymous SNPs spanning 16 379 genes and 3620 nonsynonymous InDels in 2625 genes have been discovered which provide valuable insights into the basis underlying performance of the inbreds and the hybrids between these inbred combinations. SNPs and InDels discovered from this diverse set of indica rice inbreds not only enrich SNP resources for molecular breeding but also enable the study of genome‐wide variations on hybrid performance.