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核糖体谱分析揭示了干旱胁迫下玉米幼苗中动态的翻译图谱。

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

作者信息

Lei Lei, Shi Junpeng, Chen Jian, Zhang Mei, Sun Silong, Xie Shaojun, Li Xiaojie, Zeng Biao, Peng Lizeng, Hauck Andrew, Zhao Haiming, Song Weibin, Fan Zaifeng, Lai Jinsheng

机构信息

State Key Laboratory of Agrobiotechnology and National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China.

State Key Laboratory of Agrobiotechnology and Department of Plant Pathology, China Agricultural University, Beijing, 100193, China.

出版信息

Plant J. 2015 Dec;84(6):1206-18. doi: 10.1111/tpj.13073.

Abstract

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

摘要

植物可以通过转录和翻译水平上发生的各种机制来应对环境变化。到目前为止,人们对植物在转录水平上的应激反应已经有了比较广泛的了解,而在翻译水平上的相关信息却知之甚少。为了揭示植物在干旱胁迫下的翻译全貌,我们对在正常和干旱条件下生长的玉米幼苗进行了最近开发的核糖体谱分析。核糖体谱数据与RNA测序数据的比较分析表明,转录水平上基因表达的倍数变化与整体翻译水平的倍数变化呈中度相关(R² = 0.69)。然而,在干旱条件下,转录和翻译共同响应的基因不到一半,这表明干旱胁迫可独立引发转录和翻译反应。我们发现,931个基因的翻译效率因干旱胁迫而发生显著变化。进一步分析表明,基因的翻译效率受其序列特征的高度影响,包括GC含量、编码序列长度和标准化最小自由能。此外,我们检测到2558个基因上3063个上游开放阅读框(uORF)的潜在翻译,这些uORF可能会影响下游主要开放阅读框(ORF)的翻译效率。我们的研究表明,植物能够通过高度动态的翻译机制对干旱胁迫做出反应,这种机制与转录机制协同作用。

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