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.