Publications of NIPGR Scientists

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Author: search.filters.author.Deshmukh, RupeshSubject: search.filters.subject.rice

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    Seedling-stage salinity tolerance in rice: decoding the role of transcription factors
    (John Wiley & Sons, 2022) Tiwari, Shalini; Nutan, Kamlesh Kant; Deshmukh, Rupesh; Sarsu, Fatma; Gupta, Kapuganti Jagadis; Singh, Anil K.; Singla-Pareek, Sneh L.; Pareek, Ashwani
    Rice is an important staple food crop that feeds over half of the human population, particularly in developing countries. Increasing salinity is a major challenge for continuing rice production. Though rice is affected by salinity at all the developmental stages, it is most sensitive at the early seedling stage. The yield thus depends on how many seedlings can withstand saline water at the stage of transplantation, especially in coastal farms. The rapid development of ‘omics’ approaches has assisted researchers in identifying biological molecules that are responsive to salt stress. Several salinity-responsive quantitative trait loci (QTL) contributing to salinity tolerance have been identified and validated, making it essential to narrow down the search for the key genes within QTLs. Owing to the impressive progress of molecular tools, it is now clear that the response of plants towards salinity is highly complex, involving multiple genes, with a specific role assigned to the repertoire of transcription factors. Targeting the transcription factors for improving salinity tolerance can have an inbuilt advantage of influencing multiple downstream genes, which in turn can contribute towards tolerance to multiple stresses. This is the first comparative study for TF-driven salinity tolerance in contrasting rice cultivars at the seedling stage that shows how tolerant genotypes behave differently than sensitive ones in terms of stress tolerance. Understanding the complexity of salt-responsive transcription factor networks at the seedling stage will be helpful to alleviate crop resilience and prevent crop damage at an early growth stage in rice.
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    Dissecting the nutrient partitioning mechanism in rice grain using spatially resolved gene expression profiling
    (Oxford University Press, 2021) Ram, Hasthi; Singh, Anmol; Katoch, Megha; Kaur, Ravneet; Sardar, Shaswati; Palia, Shubham; Satyam, Rohit; Sonah, Humira; Deshmukh, Rupesh; Pandey, Ajay Kumar; Gupta, Ishaan; Sharma, Tilak Raj
    Rice, a staple food worldwide, contains varying amounts of nutrients in different grain tissues. The underlying molecular mechanism of such distinct nutrient partitioning remains poorly investigated. Here, an optimized rapid laser capture microdissection (LCM) approach was used to individually collect pericarp, aleurone, embryo and endosperm from grains 10 days after fertilization. Subsequent RNA-Seq analysis in these tissues identified 7760 differentially expressed genes. Analysis of promoter sequences of tissue-specific genes identified many known and novel cis-elements important for grain filling and seed development. Using the identified differentially expressed genes, comprehensive spatial gene expression pathways were built for accumulation of starch, proteins, lipids, and iron. The extensive transcriptomic analysis provided novel insights about nutrient partitioning mechanisms; for example, it revealed a gradient in seed storage protein accumulation across the four tissue types analysed. The analysis also revealed that the partitioning of various minerals, such as iron, is most likely regulated through transcriptional control of their transporters. We present the extensive analysis from this study as an interactive online tool that provides a much-needed resource for future functional genomics studies aimed to improve grain quality and seed development.