Maganti S. Madhav

Key enzymes and proteins of crop insects as candidate for RNAi based gene silencing

RNA interference (RNAi) is a mechanism of homology dependent gene silencing present in plants and animals. It operates through 21–24 nucleotides small RNAs which are processed through a set of core enzymatic machinery that involves Dicer and Argonaute proteins. In recent past, the technology has been well appreciated toward the control of plant pathogens and insects through suppression of key genes/proteins of infecting organisms. The genes encoding key enzymes/proteins with the great potential for developing an effective insect control by RNAi approach are actylcholinesterase, cytochrome P450 enzymes, amino peptidase N, allatostatin, allatotropin, tryptophan oxygenase, arginine kinase, vacuolar ATPase, chitin synthase, glutathione-S-transferase, catalase, trehalose phosphate synthase, vitellogenin, hydroxy-3-methylglutaryl coenzyme A reductase, and hormone receptor genes. Through various studies, it is demonstrated that RNAi is a reliable molecular tool which offers great promises in meeting the challenges imposed by crop insects with careful selection of key enzymes/proteins. Utilization of RNAi tool to target some of these key proteins of crop insects through various approaches is described here. The major challenges of RNAi based insect control such as identifying potential targets, delivery methods of silencing trigger, off target effects, and complexity of insect biology are very well illustrated. Further, required efforts to address these challenges are also discussed.

Development and validation of functional marker targeting an InDel in the major rice blast disease resistance gene Pi54 (Pikh)

Rice blast is one of the most devastating diseases affecting the rice crop throughout the world. In molecular breeding for host plant resistance, functional markers are very useful for enhancing the precision and accuracy in marker-assisted selection (MAS) of target gene(s) with minimum effort, time and cost. Pi54 (which was earlier known as Pikh) is one of the major blast resistance genes and has been observed to show resistance against many isolates of the blast pathogen in India. The gene has been cloned through map-based strategy and encodes a nucleotide-binding site–leucine-rich repeat (NBS–LRR) domain-containing protein. In the present study, we carried out allele mining for this gene and identified a 144-bp insertion/deletion (InDel) polymorphism in the exonic region of the gene. A PCR-based co-dominant molecular marker targeting this InDel, named Pi54 MAS, was developed. Pi54 MAS was observed to perfectly co-segregate with blast resistance in a mapping population with no recombinants. Validation of this marker in 105 genotypes which are either susceptible or resistant to rice blast disease showed that the marker is polymorphic in most of the resistant–susceptible genotype combinations and is more accurate than the earlier reported markers for Pi54. Hence this functional, co-dominant marker is suggested for routine deployment in MAS of Pi54 in breeding programs.

Development of a PCR-based SNP marker system for effective selection of kernel length and kernel elongation in rice

Kernel length in rice (Oryza sativa L.) is controlled by various quantitative trait loci of which GS3 is the most important, being responsible for 80–90% of the variation in kernel length. A mutation in the second exon of this gene has been reported to be associated with maximum variations in the kernel length. We have developed a simple PCR-based marker system named DRR-GL which targets the functional nucleotide polymorphism at GS3. This marker system has the advantages that it is easy to use, saves time and cost, and is amenable for large-scale marker-assisted selection for the trait of kernel length. Validation of this marker in a segregating population and 152 rice varieties, which includes 30 elite basmati varieties, reveals its effective co-segregation and association with the traits of kernel length as well as kernel elongation after cooking. We recommend utilization of this simple, low-cost marker system in breeding programs targeted at improvement of key rice grain quality traits, kernel length and kernel elongation.

Identification of abiotic stress miRNA transcription factor binding motifs (TFBMs) in rice.

Plant growth and yield are affected by many abiotic stresses like salinity, drought, cold and heavy metal; these stresses trigger up and down-regulate several genes through various transcription factors (TFs). Transcription factor binding motifs (TFBMs), located in the upstream region of the genes, associate with TFs to regulate the gene expression. Many factors, including the activation of miRNAs, which are encoded by genes having independent transcription units, regulate the gene expression. TFBMs in the regulatory region of miRNA sequences influence the miRNA expression, which in turn influences the expression of other genes in the cell. However, the current level of information available on TFBMs of miRNA involved in abiotic stress related defense pathway(s) is limited and in-depth studies in this direction may lead to a better understanding of their role in expression and regulation of defense responses in plants. In this study, various aspects related to genomic positions of pre-miRNA, prediction of TSS and TATA box positions and identification of known, unique motifs at regulatory regions of all the reported miRNAs of rice associated with different abiotic stresses are discussed. Sixteen motifs were identified in this study, of which nine are known cis-regulatory elements associated with various stresses, two strong motifs, (CGCCGCCG, CGGCGGCG) and five unique motifs which might play a vital role in the regulation of abiotic stresses related miRNA genes. Common motifs shared by miRNAs that are involved in more than one abiotic stresses were also identified. The motifs identified in this study will be a resource for further functional validation.

Development and validation of class I SSR markers targeting (GATA)n repeat motifs in rice

SSR markers targeting (GATA)n motifs are known to be highly polymorphic and useful in many organisms. (GATA)n motif specific SSR markers covering the whole rice genome are not available. The present study was carried out with an objective to identify class I rice microsatellites in the rice genome with (GATA)n motifs, in-silico, and validate their potential as molecular markers. A total of 243 such motifs were identified; 65 of these were present in the genic region, 59 were in the upstream region and the remaining motifs were found in the intergenic regions. Many of the (GATA)n motifs were found within and/or upstream of genes associated with biotic or abiotic stress tolerance. A total of 230 PCR-based markers targeting all the class I (GATA)n microsatellites were developed and 35 of these markers spread across the rice genome were validated in a set of 24 representative rice varieties belonging to five distinct cultivar groups. All the markers were polymorphic, with average polymorphism information content (PIC) value of 0.61, and the rice cultivars could be uniquely distinguished into different cultivar groups based on marker analysis. These informative markers targeting (GATA)n motifs representing a new set of markers in rice will be highly useful for genetic studies and marker-assisted selection.

Inheritance of bacterial blight resistance in the rice cultivar Ajaya and high-resolution mapping of a major QTL associated with resistance.

The cultivar Ajaya (IET 8585) exhibits durable broad-spectrum resistance to bacterial blight (BB) disease of rice and is widely used as a resistance donor. The present study was carried out to decipher the genetics of BB resistance in Ajaya and map the gene(s) conferring resistance. Genetic analysis in the F2 indicated a quantitative/additive nature of resistance governed by two loci with equal effects. Linked marker analysis and allelic tests revealed that one of the resistance genes is xa5. Sequence analysis of a 244 bp region of the second exon of the gene-encoding Transcription factor IIAγ (the candidate gene for xa5) confirmed the presence of xa5. Bulked-segregant analysis (BSA) revealed the putative location of the two quantitative trait loci (QTLs)/genes associated with resistance on chromosomes 5 and 8. Composite interval mapping located the first locus on Chr. 5S exactly in the genomic region spanned by xa5 and the second locus (qtl BBR 8.1) on Chr. 8L. Owing to its differential disease reaction with a set of seven hyper-virulent isolates of Xanthomonas oryzae, a map location on Chr. 8L, which was distinct from xa13 and data from allelism tests, the second resistance locus in Ajaya was determined to be novel and was designated as xaAj. A contig map spanning xaAj was constructed in silico and the genomic region was delimited to a 13.5 kb physical interval. In silico analysis of the genomic region spanning xaAj identified four putatively expressed candidate genes, one of which could be involved in imparting BB resistance in Ajaya along with xa5.

Insights on Diversity of Leucine-Rich Repeat (LRR) Domain among Major Blast Resistance Genes of Rice

Rice blast is a continuous threat in rice ecosystems across the globe; its dynamics is becoming complex in the changing climatic conditions. Host resistance is still a viable option; hence, the exploration of resistance genes and their novel alleles is indispensable. The majority of the blast resistance genes belong to nucleotide-binding site and leucine-rich repeat (LRR) domain. In the present study, diverse LRR alleles of five major blast resistance genes (Pi2, Pi9, Pib, Pita, and Pi37) were cloned from 13 different Oryza species to determine the nucleotide diversity as well as to identify the single nucleotide polymorphisms, InDels, conserved domains, and protein functional sites. Although Pi9 and Pi2 are homologous genes, significant nucleotide variations and variants in the motifs distribution were observed. Among the five genes, Pi37 showed the highest nucleotide diversity and Pita showed the least diversity. The phylogenetic groups of alleles were correlated with the identified haplotypes. The motif (xxLxLxx) was present among all the alleles of blast R gene sequences across various Oryza species, indicating its importance. The appearance of post-translational modification sites in the protein sequences of these alleles also indicates its nature of involvement in host–pathogen interactions. The present study offers clues in further understanding the molecular evolution of the LRR domain of resistance genes, which is a key determinant of host–pathogen interactions.

Nucleotide variation and identification of novel blast resistance alleles of Pib by allele mining strategy.

Pib is one of significant rice blast resistant genes, which provides resistance to wide range of isolates of rice blast pathogen, Magnaporthe oryzae. Identification and isolation of novel and beneficial alleles help in crop enhancement. Allele mining is one of the best strategies for dissecting the allelic variations at candidate gene and identification of novel alleles. Hence, in the present study, Pib was analyzed by allele mining strategy, and coding and non-coding (upstream and intron) regions were examined to identify novel Pib alleles. Allelic sequences comparison revealed that nucleotide polymorphisms at coding regions affected the amino acid sequences, while the polymorphism at upstream (non-coding) region affected the motifs arrangements. Pib alleles from resistant landraces, Sercher and Krengosa showed better resistance than Pib donor variety, might be due to acquired mutations, especially at LRR region. The evolutionary distance, Ka/Ks and phylogenetic analyzes also supported these results. Transcription factor binding motif analysis revealed that PibSr had a unique motif (DPBFCOREDCDC3), while five different motifs differentiated the resistance and susceptible Pib alleles. As the Pib is an inducible gene, the identified differential motifs helps to understand the Pib expression mechanism. The identified novel Pib resistant alleles, which showed high resistance to the rice blast, can be used directly in blast resistance breeding program as alternative Pib resistant sources.