Exploration of rice pistil responses during early post-pollination through a combined proteomic and transcriptomic...

Pollen-stigma interaction is a multi-step and complex physiological process which contains different signaling and biochemical pathways. However, little is known about the molecular mechanism underlying this process in rice (Oryza sativa). In this study, the changes of gene expression were investigated through a combination study of transcriptome and proteome profiles in rice pistil during pollination. Totally, 1117 differentially expressed genes were identified, among which 962 and 167 were detected at transcriptional and protein level respectively. Functional categorization analysis showed that the genes involved in central metabolism were up-regulated, which can lead to the enhancement of these metabolisms. The reactive oxygen species (ROS) were over-accumulated in the stigma. In response to this, the proteins or transcripts involved in redox homeostasis regulation were differentially expressed. Furthermore, significant changes of protein ubiquitination and its related genes or proteins, especially some E3 ligases encoding genes, indicate that protein ubiquitination might play important roles in cell signal transduction during the pollination process. Our study sheds some lights on gene and protein expression profiles of rice pistil pollination process, and gives us a comprehensive understanding of the basic molecular mechanisms controlling pollination in rice.

Using RNA-seq, 2-DE and iTRAQ assays, we have generated the large-scale transcriptomic and proteomic data containing abundant information on genes involved in pollen and pistil interaction. Our results showed that ROS were significantly accumulated in stigma after pollination, and the abundance of genes involve in redox homeostasis system were changed variously. We also show that, changes of some E3 ligases encoding genes might indicate that protein ubiquitination play important roles in cell signal transduction during the pollination process. Data in this study might be helpful to deeply understand the pollination in rice.