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Stress-Responsive Biosensors for Agricultural Applications.

机译:农业应用中的压力响应型生物传感器。

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摘要

Plants have internal stress response mechanisms. These mechanisms are activated in response to environmental stimuli. Measuring the activation of these mechanisms directly gives a clearer picture of how an environmental stimulus is actually affecting the stress state of the plant. This information is valuable in an agricultural context because these internal mechanisms are generally upstream of observable physiological manifestations of stress. But measuring the activity of these pathways is often expensive and time-consuming. We will demonstrate an optical biosensor system reporting the activity of a heat- and drought- sensitive gene pathway in Arabidopsis thaliana . The marginal cost per data point of this system is very low, and the rate of data acquisition is faster than the dynamics of the gene pathway, so the biosensor system can easily and quickly detect transient changes in pathway activation, opening a real-time window into the heat- and drought-stress state of the plant. With this real-time information in hand, we proceed to close the loop around the biosensor output using a computer-based feedback policy to maintain a constant biosensor expression level using the temperature in a small greenhouse as our control input. Along the way we will discover that as complicated and unknown as the internal dynamics of this process may be, a mechanistic model is not necessary to design a feedback policy that is robust to biological variability in the plants.
机译:植物具有内部胁迫反应机制。这些机制是响应环境刺激而激活的。对这些机制的激活进行测量,可以直接更清楚地了解环境刺激实际上是如何影响植物的胁迫状态的。该信息在农业方面很有价值,因为这些内部机制通常位于可观察到的生理应激反应的上游。但是测量这些途径的活性通常是昂贵且费时的。我们将展示一个光学生物传感器系统,该系统报告拟南芥中对热和干旱敏感的基因途径的活性。该系统每个数据点的边际成本非常低,并且数据获取的速度比基因途径的动力学要快,因此生物传感器系统可以轻松快速地检测途径激活中的瞬时变化,从而打开实时窗口进入植物的高温和干旱胁迫状态。掌握了这些实时信息后,我们便开始使用基于计算机的反馈策略来闭合生物传感器输出周围的环路,以使用小温室中的温度作为我们的控制输入来维持恒定的生物传感器表达水平。一路上,我们会发现,尽管此过程的内部动力学可能是复杂而未知的,但无需机械模型来设计对植物中生物变异具有鲁棒性的反馈策略。

著录项

  • 作者

    Hines, George Herbert.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Systems science.;Agriculture.;Botany.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 75 p.
  • 总页数 75
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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