In-Silico Prediction of miRNA Drought Stress-Responsive Genes in Gymnema Sylvestre

Madhinni Sahitya; Syeda Amena Kausar

doi:10.71097/IJSAT.ALSDAHW-2025.122

In-Silico Prediction of miRNA Drought Stress-Responsive Genes in Gymnema Sylvestre

Author(s)	Madhinni Sahitya, Syeda Amena Kausar
Country	India
Abstract	Water limitation poses a formidable challenge to plant vitality, growth vigor, and harvest yields, compelling plants to orchestrate multilayered genetic defenses. Among these safeguards, microRNAs (miRNAs) — brief non-coding RNA entities — wield precise control over stress adaptation by dismantling or muting target transcripts during crisis. While drought response pathways have been extensively studied in major crop species such as rice and wheat, comparable regulatory mechanisms remain poorly understood in Gymnema sylvestre, a medicinal plant widely valued for its antidiabetic properties, largely due to limited genomic information. In this study, an in-silico approach was used to predict miRNAs associated with drought stress responses in G. sylvestre. Key drought-related genes, including peroxidases, heat shock proteins, NAC, WRKY and MYB transcription factors, aquaporins, and protein kinases, were identified from published de novo transcriptome datasets. Owing to the limited availability of G. sylvestre gene sequences, homologous reference mRNAs from model plant species were retrieved from the NCBI database and analyzed using the psRNATarget tool with standard plant miRNA libraries. Predicted miRNA–mRNA interactions were filtered based on binding strength (expectation ≤ 3.0) and mode of inhibition. The analysis identified several conserved miRNAs potentially regulating genes involved in oxidative stress defense, protein protection, transcriptional regulation, water transport, and stress signaling under drought conditions. These predicted regulatory networks provide initial insights into miRNA-mediated drought responses in G. sylvestre and establish a foundation for future experimental validation. The findings contribute to understanding stress tolerance mechanisms in medicinal plants and may support conservation and climate-resilience strategies under changing environmental conditions.
Keywords	Gymnema Sylvestre, miRNA, Drought Tolerance, psRNATarget, NAC, WRKY
Published In	Conference / Special Issue (Volume 17 \| Issue 1) - One Day National Seminar on “Advances in Life Sciences for Diversity, Applications, and Human Welfare” (ALSDAHW-2025) (March 2026)
Published On	2026-03-16
DOI	https://doi.org/10.71097/IJSAT.ALSDAHW-2025.122

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In-Silico Prediction of miRNA Drought Stress-Responsive Genes in Gymnema Sylvestre

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