Ribosome profiling reveals dynamic translational landscape in maize seedlings under drought stress

• DOI: 10.1111/tpj.13073
• Publication Date: 2015-11-14T15:12:40Z
• Authors: Lei Lei; Junpeng Shi; Jian Chen; Mei Zhang; Silong Sun; Shaojun Xie; Xiaojie Li; Biao Zeng; Lizeng Peng; Andrew Hauck; Haiming Zhao; Weibin Song; Zaifeng Fan; Jinsheng Lai
• Keywords: Ribosome profiling; Drought stress; Profiling (computer programming)

Summary Plants can respond to environmental changes with various mechanisms occurred at transcriptional and translational levels. Thus far, there have been relatively extensive understandings of stress responses plants on level, while little information is known about that level. To uncover the landscape translation in response drought stress, we performed recently developed ribosome profiling assay maize seedlings growing under normal conditions. Comparative analysis data RNA ‐seq showed fold gene expression level were moderately correlated globally ( R 2 = 0.69). However, less than half responsive genes shared by transcription condition, suggesting introduce independently. We found efficiencies 931 changed significantly stress. Further revealed highly influenced their sequence features including GC content, length coding sequences normalized minimal free energy. In addition, detected potential 3063 upstream open reading frames uORF s) 2558 these s may affect efficiency downstream main ORF s). Our study indicates plant dynamic mechanism, acting synergistically transcription.