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    Novel method for rapid screening of chickpea for combined dry root rot disease and osmotic stress
    (Springer Nature Publishing AG, 2026) Ranjan, Shubhashish; Chavan, Chaitali Narendra; Senthil-Kumar, Muthappa
    Chickpea (Cicer arietinum L.), confronts substantial challenges from the emerging pathogenic fungus Macrophomina phaseolina (Tassi) Goid, causing dry root rot (DRR) disease. Chickpea plants severely affected by combined DRR and drought stress. Currently sick plot and sick pot method are utilized for germplasm screening to identify tolerant genotypes. These methods are time-consuming; therefore, we propose a novel methodology for the rapid screening of chickpea under combined DRR and osmotic stress conditions. This chapter introduces an adept high-throughput phenotyping methodology, conducted within controlled laboratory conditions, aiming to investigate the interaction between osmotic stress and DRR disease in chickpea crops. The methodology employs an innovative pouch technique for screening combined stress, providing a streamlined temporal investigation process and precise control over stress parameters. The incorporation of polyethylene glycol (PEG) enables the simultaneous imposition of osmotic stress alongside pathogen infection, making the methodology versatile for studying combined stress scenarios. This approach fills a gap in concurrent stress imposition techniques, enhancing germplasm screening by identifying genotypes with varying susceptibility and resistance levels. Thus, we suggest use of high-throughput phenotyping in combination genome-wide association study (GWAS) can take combined stress resistance breeding in chickpea at next level to combat food security and climate change.
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    A blotting paper technique for the screening of chickpea genotypes against dry root rot disease
    (Springer Nature Publishing AG, 2026) Durgadevi, Athimoolam; Pandey, Prachi; Senthil-Kumar, Muthappa
    Dry root rot (DRR) disease is a major threat to chickpea production across the world. This disease is caused by a soil-borne necrotrophic fungal pathogen, Macrophomina phaseolina. The use of disease-resistant varieties paves the way to conquer the disease spread. Though chickpea germplasm with rich genetic diversity is available around the world, its response to DRR is still unexplored. In turn, this demands screening and identification of resistant genotypes for crop protection against the disease. Here we describe an improved blotting paper technique for the large-scale screening of chickpea genotypes for DRR resistance. The method is quick, cost-effective, less labour-intensive, and thus optimized for high-throughput screening and can be efficiently used to screen a large number of chickpea genotypes for resistance against DRR.
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    Expression analysis of ROS-related genes during the germination of chickpea (Cicer Arietinum L.) seeds
    (Springer Nature Publishing AG, 2026) Babuta, Priyanka; Samant, Sanjib Bal; Saini, Deepak; Gupta, Kapuganti Jagadis
    Seed germination is a critical physiological process that transforms a quiescent seed into a metabolically active seedling and is also a crucial factor in determining maximum crop production. This transition is influenced by various intrinsic and extrinsic factors. Interestingly, reactive oxygen species (ROS) plays an important role in breaking seed dormancy by oxidation of biomolecules, weakening of the testa and degradation of endosperm. Similarly, molecular internal oxygen is also considered vital for the transition of dormancy to seed germination. However, it is essential to establish a correlation between the internal oxygen and the generation of ROS during seed germination. This chapter details protocols for imaging internal oxygen concentrations using VisiSens and fluorescent detection of ROS using H2DCFDA in chickpea seeds, complemented by qPCR analysis of key ROS-related genes (RBOH, AOX 1, UCP 1, and NADH dehydrogenase). These findings from these methods help advance our understanding of the inverse relationship between molecular oxygen and ROS dynamics during seed germination.
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    Identification of tRNA-derived fragments in legumes
    (Springer Nature Publishing AG, 2026) Arora, Simran; Aftab, Sahrish; Shree, Tanu; Kumar, Shailesh
    The tRNA-derived noncoding RNAs (tncRNAs) belong to the novel class of noncoding RNAs, acting as important components of genome regulatory circuits. In planta, the mechanism of generation and function of tncRNAs is not fully elucidated. Production of important leguminous plants like chickpea, Medicago and soybean is majorly hampered due to different biotic and abiotic stresses. Identification and characterization of tncRNAs in legumes may open a new paradigm for molecular biologists to make novel tools for the improved varieties of legumes for sustainable agriculture. The first step in the study of tncRNAs is to identify and annotate them in small RNA sequencing datasets. Here, we have demonstrated the tncRNA Toolkit for the identification and annotation of tncRNAs in a small RNA sequencing dataset of the important legume crop chickpea.
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    RNA-seq analysis identifies key genes involved in chickpea (Cicer arietinum L.) shoot development
    (Botanical Society of Bengal, 2016) Biswas, S; Aggarwal, PR; Tayal, R; Sarkar, MP; Chakraborty, Niranjan; Chakraborty, Subhra
    Understanding the mechanism of plant development is particularly important for studying the regulatory genes and their specific functions. Here, we used paired end RNA sequencing to understand the complexity of legume shoot development in a non-model crop chickpea (Cicer arietinum L.). A total of 149.5 million paired end reads were obtained from two developmental stages of chickpea shoot. Differential gene expression analysis revealed the enrichment of transcripts associated with shoot development. Validation of few genes showed the reproducibility of our RNA-seq data. Collectively, the present study will not only help to generate a comprehensive organ specific transcriptome map but will also serve as a resource for gene discovery and future crop improvement program.