Tissue-specific transcriptional biomarkers in medicinal plants: Application of large-scale meta-analysis and computational systems biology

Gene
Ahmad TahmasebiManijeh Mohammadi-Dehcheshmeh

Abstract

Biosynthesis of secondary metabolites in plant is a complex process, regulated by many genes and influenced by several factors. In recent years, the next-generation sequencing (NGS) technology and advanced statistical analysis such as meta-analysis and computational systems biology have provided novel opportunities to overcome biological complexity. Here, we performed a meta-analysis on publicly available transcriptome datasets of twelve economically significant medicinal plants to identify differentially expressed genes (DEGs) between shoot and root tissues and to find the key molecular features which may be effective in the biosynthesis of secondary metabolites. Meta-analysis identified a total of 880 genes with differential expression between two tissues. Functional enrichment and KEGG pathway analysis indicated that the functions of those DEGs are highly associated with the developmental process, starch metabolic process, response to stimulus, porphyrin and chlorophyll metabolism, biosynthesis of secondary metabolites and phenylalanine metabolism. In addition, systems biology analysis of the DEGs was applied to find protein-protein interaction network and discovery of significant modules. The detected modules were associate...Continue Reading

Citations

Aug 14, 2019·Journal of Biomolecular Structure & Dynamics·Sevgi Marakli

Related Concepts

Biological Markers
Gene Expression
Genes
Hormones
Metabolism
Phenylalanine
Plants, Medicinal
Porphyrins
Signal Transduction
Starch

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