Microarray meta-analysis focused on the response of genes involved in redox homeostasis to diverse abiotic stresses in rice

• Main Authors: Joao eBraga De Abreu Neto, Michael eFrei
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2016-01-01
• Series: Frontiers in Plant Science
• Subjects: Microarray Analysis; Meta-analysis; rice; abiotic stress; redox
• Online Access: http://journal.frontiersin.org/Journal/10.3389/fpls.2015.01260/full

Plants are exposed to a wide range of abiotic stresses, which often occur in combination. Because physiological investigations typically focus on one stress, our understanding of unspecific stress responses remains limited. The plant redox homeostasis, i.e. the production and removal of reactive oxygen species (ROS), may be involved in many environmental stress conditions. Therefore, this study intended to identify genes, which are activated in diverse abiotic stresses, focusing on ROS–related pathways. We conducted a meta-analysis (MA) of microarray experiments, focusing on rice. Transcriptome data were mined from public databases and fellow researchers, which represented 36 different experiments and investigated diverse abiotic stresses, including ozone stress, drought, heat, cold, salinity, and mineral deficiencies/toxicities. To overcome the inherent artefacts of different MA methods, data were processed using Fisher, rOP, REM and product of rank (GeneSelector), and genes identified by most approaches were considered as shared differentially expressed genes (DEGs). Two MA strategies were adopted: first, datasets were separated into shoot, root and seedling experiments, and these tissues were analyzed separately to identify shared DEGs. Second, shoot and seedling experiments were classed into oxidative stress (OS), i.e. ozone and hydrogen peroxide treatments directly producing ROS in plant tissue, and other abiotic stresses (AS), in which ROS production is indirect. In all tissues and stress conditions, genes a priori considered as ROS-related were overrepresented among the DEGs, as they represented 4% of all expressed genes but 7-10% of the DEGs. The combined MA approach was substantially more conservative than individual MA methods and identified 1001 shared DEGs in shoots, 837 shared DEGs in root, and 1172 shared DEGs in seedlings. Within the OS and AS groups, 990 and 1727 shared DEGs were identified, respectively. In total, 311 genes were shared between OS and AS, including many regulatory genes. Combined co-expression analysis identified among those a cluster of 42 genes, many involved in the photosynthetic apparatus and responsive to drought, iron deficiency, arsenic toxicity and ozone. Our data demonstrate the importance of redox homeostasis in plant stress responses and the power of MA to identify candidate genes underlying unspecific signaling pathways.