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Quantitatively Understanding Plant Signaling: Novel Theoretical–Experimental Approaches
Trends in Plant Science ( IF 17.3 ) Pub Date : 2017-06-28 , DOI: 10.1016/j.tplants.2017.05.006
Sophia L. Samodelov , Matias D. Zurbriggen

With the need to respond to and integrate a multitude of external and internal stimuli, plant signaling is highly complex, exhibiting signaling component redundancy and high interconnectedness between individual pathways. We review here novel theoretical–experimental approaches in manipulating plant signaling towards the goal of a comprehensive understanding and targeted quantitative control of plant processes. We highlight approaches taken in the field of synthetic biology used in other systems and discuss their applicability in plants. Finally, we introduce existing tools for the quantitative analysis and monitoring of plant signaling and the integration of experimentally obtained quantitative data into mathematical models. Incorporating principles of synthetic biology into plant sciences more widely will lead this field forward in both fundamental and applied research.



中文翻译:

定量理解植物信号:新颖的理论-实验方法

由于需要响应并整合多种外部和内部刺激,植物信号传导非常复杂,在各个途径之间表现出信号传导的冗余和高度的相互联系。我们在这里回顾新颖的理论-实验方法来操纵植物信号,以实现对植物过程的全面理解和有针对性的定量控制的目标。我们重点介绍了在其他系统中使用的合成生物学领域中的方法,并讨论了它们在植物中的适用性。最后,我们介绍了用于定量分析和监测植物信号以及将实验获得的定量数据整合到数学模型中的现有工具。

更新日期:2017-06-28
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