In Silico Analysis of Secondary Metabolite Biosynthesis Clusters in the Genome of Panicum virgatum
Supratik Adhikary
, Dr. Aditi Nayak
Biosynthetic Gene Cluster (BGC), Secondary metabolites, Panicum virgatum, PlantiSMASH, KNApSAck database
A biosynthetic gene cluster (BGC) is a group of genes in a genome that collectively encode the enzymes responsible for producing a specific natural product, such as a secondary metabolite or a bioactive compound with diverse biological activities, including antibiotics, antifungals, antiviral agents. Understanding the structure and function of these biosynthetic gene clusters is important for developing new pharmacological compounds. By studying these clusters, it would be beneficial in identifying the potential targets for drug development and strategies to prevent the spread of antibiotic resistance. In this study, we identified biosynthetic gene clusters in Panicum virgatum. The plant possess various medicinal properties. Using KNApSAck database, we identified the secondary metabolites present in the plant. PlantiSMASH is a bioinformatics tool that can be used to identify biosynthetic gene clusters (BGCs) in plant genomes. Using PlantiSMASH, BGCs in Panicum virgatum genomes were predicted. This study gives an insights into the secondary metabolism of Panicum virgatum, and identify potential targets for genetic engineering to improve the nutritional value or other properties of the plant. Hence, the Biosynthetic gene clusters in Panicum virgatum offer a promising avenue for improving the productivity, nutritional value, and health benefits.
"In Silico Analysis of Secondary Metabolite Biosynthesis Clusters in the Genome of Panicum virgatum", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.552 - 563, July-2023, Available :https://ijsdr.org/papers/IJSDR2307079.pdf
Volume 8
Issue 7,
July-2023
Pages : 552 - 563
Paper Reg. ID: IJSDR_207742
Published Paper Id: IJSDR2307079
Downloads: 000347355
Research Area: Life Sciences
Country: Kolkata, West bengal, India
DOI: https://doi.org/10.5281/zenodo.8374134
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave