همایش ملی بیوانفورماتیک ایران

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

The key role of genes involved in proline biosynthesis and photosynthesis in drought response during Soybean flowering stage

نویسندگان :

Zeinab Shamabadi¹ Maryam Pasandideh Arjmand² Mohammad Mohsenzadeh Golfazani³ Habibollah Samizadeh lahiji⁴

1- دانشگاه گیلان 2- دانشگاه گیلان 3- دانشگاه گیلان 4- دانشگاه گیلان

کلمات کلیدی :

Cytoscape،I1JLN5،Gene ontology،Microarray

چکیده :

Soybean (Glycine Max) is one of the five most important crops in the worldwide that requires significantly more water than cereals (Niwinska et al. 2020). The phonological stage of plant exposed to drought stress is important for choosing the best strategy for agronomic management. The experiments indicate that the flowering stage is the most sensitive stage of the plant's life to drought stress (Farah et al, 1988; Moloi and Merwe, 2021). Therefore, the aim of this study was to identify the functional pathways and effective and key genes in Soybean plants under drought stress during flowering stage. Microarray data of Soybean under drought stress conditions during flowering stage were analyzed. Then, the functional pathways and hub genes identified by in silico tools. The result showed that in total 1368 genes had significant expression, of which 758 genes were upregulated and 610 genes were downregulated. The identified key genes were I1K1F9 (L-aspartate oxidase), I1JLN5 (Delta-1-pyrroline-5-carboxylate synthase), Q8W1A1 (Adenosine 5'-phosphosulfate reductase), I1KP26 (Mg-por_mtran_C domain-containing protein) and Q9SYR0 (Nitrate reductase). The results demonstrated that the drought stress during the flowering stage of Soybean plants increased the expression of genes involved in biological processes responsive to abscisic acid and stress response such as genes involved in proline biosynthesis. Drought stress also reduced the expression of genes involved in photosynthesis and flower development, resulting in reduced yield. The identified genes in this study could be considered in Soybean breeding programs.

لیست مقالات

لیست مقالات بایگانی شده

New inhibitors of the Toxoplasmosis by in-silico drug repurposing

Milad Jaberi - Masoud Aliyar - Mosleh Kadkhodamohammadi - Parva Karimimousivandi

Investigation and comparison of TYDC2 gene expression in different tissues (root, leaf, capsule and petal) of medicinal plant poppy (Papaver somniferum L.) in terms of bioinformatics

Nazila Bagheri - Alireza Tarinejad - Mohammad Majidi - Karim Hasanpour

Phylogenetic Insights into Enzybiotic with Novel Properties

Arman Hasannejad - Arad Ariaeenejad - Donya Afshar Jahanshahi - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi

"Molecular Docking Study of Natural Compounds from Daucus carota as Inhibitors of VEGFR-2: A Computational Approach for Drug Design"

MohammadMoein Bashi Mehrizi - Seyed Mohammad Mahdi Mortazavian - Hossein Hadavand Mirzaei

Molecular docking and bioinformatics study of active compounds of thyme) Thymus vulgaris( in inhibiting COX-2 enzyme related to inflammatory diseases

Razieh Biglari Farash - Azizollah Kheiry - Najmaddin Mortazavi - Mohsen Sani khani

Integrating Biological Networks and Deep Learning for Microbe-Disease Prediction

Sobhan Ahmadian Moghadam - Zahra Ghorbanali - Fatemeh Zare-Mirakabad - Hesam Montazeri

Leveraging Machine Learning Models for Virtual Screening of ZINC Database to Identify JAK1 Inhibitors

Negar Abdolmaleki - Hamid Mahdiuni

Designing Guide RNAs Considering Essential Genes for Genome Editing of Yarrowia lipolytica Using Deep Learning in the CRISPR System

Zahra Vahdani - Farshad Darvishi - Fatemeh Zare-Mirakabad

Molecular Docking Analysis of Eugenol and Paclitaxel Targeting MRAS in Breast Cancer Therapy

Yaas Rowhani - Somayeh Reiisi

Single-Cell Transcriptomic Analysis Reveals Cellular Heterogeneity and Molecular Markers in Acute Leukemia Subtypes

Fatemeh Mohagheghian - Zahra Salehi - Najmeh Salehi

بیشتر