همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Morphine pathway analysis with bioinformatics

نویسندگان :

Nazila Bagheri¹ Alireza Tarinejad² Mohammad Majidi³ Karim Hassanpour⁴

1- Shahid Madani University of Azerbaijan 2- Shahid Madani University of Azerbaijan 3- Shahid Madani University of Azerbaijan 4- University of Tabriz

کلمات کلیدی :

Analysis،Bioinformatics،Hub genes،Morphine،Poppy

چکیده :

Morphine was the initial alkaloid extracted from the opium poppy in the year 1803(Aghaali and Naghavi, 2024). Morphine is the most important alkaloid in terms of abundance and therapeutic use, accounting for 42% of the total alkaloids in opium poppy(Allen et al., 2008). In this research has been conducted on the morphine biosynthesis pathway using bioinformatics tools. A collection of nine genes associated with the morphine biosynthesis pathway was compiled from a comprehensive survey and validated using the NCBI BLAST tool. We used STRING to examine the interactions among genes and used Cytoscape to illustrate the molecular interaction network. Hub proteins were determined through CytoHubba. The enrichment of hub genes was evaluated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) within STRING, as well as Gene Ontology (GO) through gprofiler. The promoter regions of important genes were examined using MEME. Essential genes involved in morphine synthesis were recognized, and they play vital roles in basic cellular activities such as growth, development, and signal transduction. Metabolic processes play an essential role in the production of morphine, suggesting that the gene network associated with the morphine pathway has broader functions beyond merely generating primary metabolites. Investigating the KEGG pathway highlighted the importance of metabolic pathways and the synthesis of secondary metabolites. An examination of the promoter suggested that signal transduction might be involved in morphine synthesis. Regarding the main genes that contribute to morphine production, the pathway for morphine as a secondary metabolite appears to be linked with numerous significant plant pathways. The objective of this research is to investigate and examine the biosynthetic pathway of morphine in the opium poppy through the application of sophisticated bioinformatics tools. This study employs various bioinformatics tools in tandem to pinpoint and evaluate gene interactions and metabolic pathways, resulting in a more comprehensive understanding of the biosynthesis of morphine alkaloids. This approach could help develop novel methods for morphine production and extraction, as well as improve agricultural processes related to medicinal plants.