Publications of NIPGR Scientists

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Author: search.filters.author.Zahra, ShafaqueSubject: search.filters.subject.Bioinformatics

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    Genome-wide characterization and comparative analysis of the OSCA gene family and identification of its potential stress-responsive members in legumes
    (Nature Publishing Group, 2023) Chakraborty, Srija; Gangwar, Rashmi; Zahra, Shafaque; Poddar, Nikita; Singh, Amarjeet; Kumar, Shailesh
    Cicer arietinum, Cajanus cajan, Vigna radiata, and Phaseolus vulgaris are economically important legume crops with high nutritional value. They are negatively impacted globally by different biotic and abiotic stresses. Hyperosmolality-gated calcium-permeable channels (OSCA) have been characterized as osmosensors in Arabidopsis thaliana but have not previously reported in legumes. This study provides a genome-wide identification, characterization, and comparative analysis of OSCA genes in legumes. Our study identified and characterized 13 OSCA genes in C. cajan, V. radiata, P. vulgaris, and 12 in C. arietinum, classified into four distinct clades. We found evidence to suggest that the OSCAs might be involved in the interaction between hormone signalling pathways and stress signalling pathways. Furthermore, they play a major role in plant growth and development. The expression levels of the OSCAs vary under different stress conditions in a tissue-specific manner. Our study can be used to develop a detailed understanding of stress regulatory mechanisms of the OSCA gene family in legumes.
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    From current knowledge to best practice: A primer on Viral diagnostics using deep sequencing of virus-derived small interfering RNAs (vsiRNAs) in infected plants
    (Elsevier B.V., 2020) Vivek, A.T.; Zahra, Shafaque; Kumar, Shailesh
    Plants have evolved many defense strategies for combating viral infections. One major surveillance strategy adopted by them is manipulating viral sequences to generate distinct small RNA products via Dicer-like enzymes (DCL), and thereby restricting virus multiplication through the RNA interference (RNAi) mechanism. The power of high-throughput sequencing technologies, with diverse computational tools to handle small RNA sequencing (sRNA-Seq) data, bestows unprecedented opportunities to answer fundamental questions in plant virology. Here, we present some basic concepts of virus-derived, small interfering RNA (vsiRNA) biogenesis in plants, optimization strategies, caveats, and best practices for efficient discovery and diagnosis of known as well as novel plant viruses/viroids using deep sequencing of small RNA (sRNA) pools.