Exploiting heterogeneous environments: does photosynthetic acclimation optimize carbon gain in fluctuating light?
Exploiting heterogeneous environments: does photosynthetic acclimation optimize carbon gain in fluctuating light?
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DOI：
10.1093/jxb/erv055
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发表时间：
2015-05
影响因子：
6.9
通讯作者：
Murchie EH
中科院分区：
文献类型：
--
作者：
Retkute R;Smith-Unna SE;Smith RW;Burgess AJ;Jensen OE;Johnson GN;Preston SP;Murchie EH
我们提出了一个新的数学模型，以经验确定如何成功的植物是在最大限度地提高每日碳增益波动的光根据动态驯化过程。植物已经进化出复杂的机制来平衡光合作用中吸收的光能的有效利用与同化中使用该能量的能力，从而避免过量光的潜在损害。这在自然光下尤其重要，自然光可以根据天气，太阳运动和树冠运动而变化。光合驯化是指植物通过改变叶片的组成和结构来提高光合效率和生产力。然而，没有经验或理论基础来理解叶子如何跟踪历史光照水平以确定适应状态，或者它们是否准确地做到这一点。我们假设，在波动的光（强度和频率都不同），叶片的光响应特性应调整（动态适应），以最大限度地提高每日碳增益。使用框架的数学建模的基础上光响应曲线，我们分析了碳增益动态下各种光模式。其目的是开发新的工具，以量化的精度与光合作用适应根据植物存在的环境，并测试现有的数据这一工具。我们发现，最佳的最大光合能力和低到高光转换的频率之间的反比关系。使用文献中的实验数据，我们能够表明，观察到的模式驯化是一致的，以最大限度地提高每日碳增益的策略。模型的完善将进一步确定驯化的精度。
We propose a new mathematical model to empirically determine how successful plants are at maximizing daily carbon gain in fluctuating light according to dynamic acclimatory processes. Plants have evolved complex mechanisms to balance the efficient use of absorbed light energy in photosynthesis with the capacity to use that energy in assimilation, so avoiding potential damage from excess light. This is particularly important under natural light, which can vary according to weather, solar movement and canopy movement. Photosynthetic acclimation is the means by which plants alter their leaf composition and structure over time to enhance photosynthetic efficiency and productivity. However there is no empirical or theoretical basis for understanding how leaves track historic light levels to determine acclimation status, or whether they do this accurately. We hypothesized that in fluctuating light (varying in both intensity and frequency), the light-response characteristics of a leaf should adjust (dynamically acclimate) to maximize daily carbon gain. Using a framework of mathematical modelling based on light-response curves, we have analysed carbon-gain dynamics under various light patterns. The objective was to develop new tools to quantify the precision with which photosynthesis acclimates according to the environment in which plants exist and to test this tool on existing data. We found an inverse relationship between the optimal maximum photosynthetic capacity and the frequency of low to high light transitions. Using experimental data from the literature we were able to show that the observed patterns for acclimation were consistent with a strategy towards maximizing daily carbon gain. Refinement of the model will further determine the precision of acclimation.