Bioinformatics Analysis of the Expression of Key Genes Involved in Biosynthesis Pathway of Carvacrol of White Savory Essential Oil Under Drought Stress

Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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IBIS10_231

تاریخ نمایه سازی: 5 تیر 1401

Abstract:

White savory (Satureja mutica Fisch. & CAMey) is a member of the mint family that is extended in theeastern and western of Iran. This plant has antioxidant and antimicrobial properties. In this study, WhiteSavory was planted in two conditions of drought control and treatment at ۳۰% of field capacity in the Facultyof Agriculture, Shahid Chamran University. Using the KEGG database, the biosynthetic pathway and genesinvolved in the production of this pathway were determined. The active ingredient in White Savory isCarvacrol, in which three key genes including: Geranyl geranyl de phosphate synthase, Limonene synthase,Limonene hydroxylase are involved in the biosynthesis pathway of Carvacrol. Utilizing bioinformatics andreal-time PCR, the expression of genes effective in biosynthesis of active substance and biochemicalpathways was largely determined. Due to the lack of white savory genomic information, the gene sequencesof plants of this family were examined. After predicting the sequence of these three genes, suitable primerswere designed. In this study, the intracellular location of proteins was determined to be all three cytoplasmicgenes. The properties and characteristics of each gene were also examined. Investigation of physical andchemical properties of proteins that are unstable proteins in all three genes, signal prediction of potentialpeptides in proteins and prediction of spatial structure of proteins, which includes structural evaluation andestimation of structural model quality through bioinformatics detection took. Bioinformatics study revealedthat all three genes do not have peptide signal sequences. The quality of the structural model was examinedthrough QMEANDisCo Local and QMEAN Z-Scores. All genes were found to be highly similar to thementioned structural model. According to the authors of this study, bioinformatics study of genes at theprotein level will create more awareness and facilitate future research.

Authors

Fatemeh Davari Shalamzari

Department of Plant Production and Genetics, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Leyla Nejadsadeghi

Department of Plant Production and Genetics, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Khosro Mehdikhanlou

Department of Plant Production and Genetics, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Qing-Yan Shu

Key Laboratory of Plant Resources/Beijing Botanical Garden, Institute of Botany, Chinese Academy of Sciences, Beijing, China