Integrated transcriptomics, proteomics, and metabolomics analyses to survey ozone responses in the leaves of rice seedling.

Ozone (O3), a serious air pollutant, is known to significantly reduce photosynthesis, growth, and yield and to cause foliar injury and senescence. Here, integrated transcriptomics, proteomics, and metabolomics approaches were applied to investigate the molecular responses of O3 in the leaves of 2-week-old rice (cv. Nipponbare) seedlings exposed to 0.2 ppm O3 for a period of 24 h. On the basis of the morphological alteration of O3-exposed rice leaves, transcript profiling of rice genes was performed in leaves exposed for 1, 12, and 24 h using rice DNA microarray chip. A total of 1535 nonredundant genes showed altered expression of more than 5-fold over the control, representing 8 main functional categories. Genes involved in information storage and processing (10%) and cellular processing and signaling categories (24%) were highly represented within 1 h of O3 treatment; transcriptional factor and signal transduction, respectively, were the main subcategories. Genes categorized into information storage and ...