Bioinformatic evaluation of the impact of miRNAs on the expression of detoxification-related genes in Zebrafish (Danio rerio)

Abstract

Zebrafish (Danio rerio) stands as a valuable model organism for delving into molecular mechanisms, notably detoxification. MicroRNAs (miRNAs), small non-coding RNA molecules, serve as post-transcriptional regulators of gene expression, potentially shaping the complex network of genes engaged in detoxification pathways. This study employs bioinformatic analysis, utilizing Target Scan and DIANA databases, to explore the potential of miRNAs in modulating the expression of detoxification-associated genes in zebrafish. By meticulously scrutinizing miRNA and mRNA datasets in zebrafish, we pinpoint candidate miRNAs predicted to target established detoxification genes. Leveraging bioinformatic algorithms, we dissect the plausible interactions between these miRNAs and their target detoxification genes, which include pgp, gpx1a, gpx3, aldh3b1, gstm3, cyp3c1, gstp1, gpx1b, cyp17a1, sod1, sod2, gsto2, gstz1, akr7a3, gsr, ahr1b, cat, ahr2, and abcb4. Moreover, we assess the conservation of miRNA-target interactions across species and scrutinize potential miRNA binding sites within the 3' untranslated regions (UTRs) of target mRNAs. Our findings unveil the intricate regulatory interplay between miRNAs and genes involved in detoxification in zebrafish, providing a cornerstone for future experimental validations. This study significantly contributes to our evolving understanding of miRNA-mediated gene regulation within the context of detoxification pathways in zebrafish

Keywords

• reef evolution
• micrornas
• xenobiotic
• biotransformation
• target scan
• diana databases