1st International and 10th National Iranian Conference on Bioinformatics

Home Accepted Papers

Expression Analysis of the Key Genes Involved in Biosynthesis Pathway of Major Component of Ziziphora persica Bunge Essential Oil under Drought Stress

Paper ID : 1056-ICB10

Authors:

mozhdeh jalilifar *, leila nezhadsadeghi, khosru mehdikhanlou

دانشگاه شهید چمران اهواز

Abstract:

: Iranian Kakoti (Zizphora persica) is a plant belonging to the mint family, with a wide range of distribution throughout the country, that has edible and medicinal properties with antioxidant and antimicrobial properties. In order to conduct this research, Iranian Kakoti was cultivated in two conditions of control and drought stress treatment at 30% of field capacity (30% FC) in the Faculty of Agriculture at Shahid Chamran University of Ahvaz. Using the KEGG database, the metabolic pathway and genes involved in the production of this pathway were identified. The active ingredient of this plant is Polgen, with four key genes including: Isopiperitenol dehydrogenase, Limonene synthase, limonene hydroxylase and Isopiperitenone reductase involved in the path of biogen synthesis. Due to the lack of genomic information of the studied plant, these four genes were studied by examining their sequences in families close to this genus and species, namely Mentha Logifolia and Mentha Piperita. After predicting the sequence of these four genes, the corresponding primers were designed. In this study, the properties and the intracellular position of proteins showed that the protein belongs to all four cytoplasmic genes. Investigation of physical and chemical properties of unstable proteins in all four genes signal prediction of potential peptides in proteins and prediction of spatial structure of proteins, which includes structural evaluation and estimation of structural model quality through bioinformatics identification. The results of bioinformatics study showed that there was no peptide signal sequence for any of the studied proteins. The quality of the structural model was evaluated through QMEANDisCo Local and QMEAN Z-Scores and showed that all four genes have a high similarity with the model. The authors of this article believe that the bioinformatics study of genes at the protein level is a cheap way to gain more knowledge for future studies.

Keywords:

Bioinformatics, KEGG, Sequencing, Genomic information.

Status : Paper Accepted (Poster Presentation)