Browsing by Author "Tiwari, Shalini"
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Item Deciphering shared attributes of plant long non-coding RNAs through a comparative computational approach(Springer Nature Publishing AG, 2023) Yadav, Vikash Kumar; Jalmi, Siddhi Kashinath; Tiwari, Shalini; Kerkar, SavitaOver the past decade, long non-coding RNA (lncRNA), which lacks protein-coding potential, has emerged as an essential regulator of the genome. The present study examined 13,599 lncRNAs in Arabidopsis thaliana, 11,565 in Oryza sativa, and 32,397 in Zea mays for their characteristic features and explored the associated genomic and epigenomic features. We found lncRNAs were distributed throughout the chromosomes and the Helitron family of transposable elements (TEs) enriched, while the terminal inverted repeat depleted in lncRNA transcribing regions. Our analyses determined that lncRNA transcribing regions show rare or weak signals for most epigenetic marks except for H3K9me2 and cytosine methylation in all three plant species. LncRNAs showed preferential localization in the nucleus and cytoplasm; however, the distribution ratio in the cytoplasm and nucleus varies among the studied plant species. We identified several conserved endogenous target mimic sites in the lncRNAs among the studied plants. We found 233, 301, and 273 unique miRNAs, potentially targeting the lncRNAs of A. thaliana, O. sativa, and Z. mays, respectively. Our study has revealed that miRNAs, which interact with lncRNAs, target genes that are involved in a diverse array of biological and molecular processes. The miRNA-targeted lncRNAs displayed a strong affinity for several transcription factors, including ERF and BBR-BPC, mutually present in all three plants, advocating their conserved functions. Overall, the present study showed that plant lncRNAs exhibit conserved genomic and epigenomic characteristics and potentially govern the growth and development of plants.Item Genome-wide investigation of GRAM-domain containing genes in rice reveals their role in plant-rhizobacteria interactions and abiotic stress responses(Elsevier B.V., 2020) Tiwari, Shalini; Shweta; Prasad, Manoj; Lata, CharuA comprehensive genome-wide survey of GRAM-domain containing genes in rice identified total 64 genes which were grouped into six classes and were physically mapped onto different rice chromosomes. GRAM domain-containing genes showed total 8 segmental and 3 tandem duplications. Comparative physical mapping between rice OsGRAM and its orthologs in related C4-crops depicted evolutionary insights into this gene family. Expression analyses of OsGRAM genes in rice roots subjected to salt stress with or without Bacillus amyloliquefaciens (SN13) inoculation revealed significant differential expression patterns suggesting their crucial role in beneficial plant-rhizobacteria interactions under stress. Further, expression analyses of selected 15 candidate genes with ≥3.0-fold induction in salt + SN13 treated samples indicated their precise and overlapping expression patterns under various abiotic stresses and phytohormones at early (1 h) and late (24 h) durations which might be ultimately responsible for functional divergence and beneficial plant-microbe interactions. Furthermore, OsGRAM27 and OsGRAM47 could be considered as potential candidate genes for further functional characterization and application in crop improvement since these genes showed positive modulation in stress under the influence of SN13. This study provides new dimensions into the evolution and divergence of OsGRAM and their role in plant-rhizobacteria interactions that could be utilized for improving stress tolerance in crops.Item 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, AshwaniRice 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.
