New insights on key genes involved in drought stress response of barley: gene networks reconstruction, hub, and promoter analysis

Autor: Maryam Shahbazi, Seyedeh Mehri Javadi, Asa Ebrahimi, Zahra-Sadat Shobbar
Rok vydání: 2021
Předmět:
Zdroj: Journal of Genetic Engineering and Biotechnology, Vol 19, Iss 1, Pp 1-12 (2021)
Journal of Genetic Engineering & Biotechnology
ISSN: 2090-5920
Popis: BackgroundBarley (Hordeum vulgareL.) is one of the most important cereals worldwide. Although this crop is drought-tolerant, water deficiency negatively affects its growth and production. To detect key genes involved in drought tolerance in barley, a reconstruction of the related gene network and discovery of the hub genes would help. Here, drought-responsive genes in barley were collected through analysis of the available microarray datasets (− 5 ≥ Fold change ≥ 5, adjustedpvalue ≤ 0.05). Protein-protein interaction (PPI) networks were reconstructed.ResultsThe hub genes were identified by Cytoscape software using three Cyto-hubba algorithms (Degree, Closeness, and MNC), leading to the identification of 17 and 16 non-redundant genes at vegetative and reproductive stages, respectively. These genes consist of some transcription factors such asHvVp1,HvERF4,HvFUS3,HvCBF6,DRF1.3,HvNAC6,HvCO5, andHvWRKY42, which belong to AP2, NAC, Zinc-finger, and WRKY families. In addition, the expression pattern of four hub genes was compared between the two studied cultivars, i.e., “Yousef” (drought-tolerant) and “Morocco” (susceptible). The results of real-time PCR revealed that the expression patterns corresponded well with those determined by the microarray. Also, promoter analysis revealed that some TF families, including AP2, NAC, Trihelix, MYB, and one modular (composed of two HD-ZIP TFs), had a binding site in 85% of promoters of the drought-responsive genes and of the hub genes in barley.ConclusionsThe identified hub genes, especially those from AP2 and NAC families, might be among key TFs that regulate drought-stress response in barley and are suggested as promising candidate genes for further functional analysis.
Databáze: OpenAIRE