An optimality model of photoadaptation in contrasting aquatic light regimes

An optimality model of photoadaptation in contrasting aquatic light regimes
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对比水生光状态下光适应的最优模型

DOI:
10.4319/lo.2013.58.5.1802
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发表时间:
2013
影响因子:
4.5
通讯作者:
R. Geider
R. Geider
中科院分区:
地球科学1区
文献类型:
--
作者:
D. Talmy;J. Blackford;N. Hardman;A. Dumbrell;R. Geider

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为了研究浮游植物适应不同水生光环境的光驯化,在两种不同的环境中应用了一个生理上明确的浮游植物最优模型:恒定辐照和与海洋混合层相关的动态辐照。氮被认为是在与光收集、碳固定、生物合成和光保护相关的细胞组分之间分配的。该模型用于预测资源如何在不同环境下进行(再)分配以优化增长。动态环境下细胞内氮的最佳分配与卡尔文循环酶的组成投资有关;在静态环境下,弱光下卡尔文循环分配减少。此外,静态环境中与光保护相关的成分分配减少导致光合作用-辐照响应受到严重抑制,这与原绿球藻适应相对稳定的少营养环流的情况一致。相比之下,在一定的综合光剂量范围内维持光保护成分可以更好地解释硅藻骨藻的光合反应。与静态环境和高光适应性原绿球菌中观察到的叶绿素细胞−1的分配范围相对较广相比,在动态环境中,假海藻中叶绿素:C的有限范围与资源分配到捕光成分的优化一致。该模型用于解释凯尔特海和爱尔兰海样品光合作用-辐照度响应的可变性。光驯化状态是对影响光变异性的一系列环境参数(如表面辐照度、混合深度和光衰减)进行资源优化配置的结果。
To investigate photoacclimation of phytoplankton adapted to different aquatic light regimes, a physiologically explicit phytoplankton optimality model was applied in two contrasting environments: constant irradiance vs. dynamic irradiance associated with oceanic mixed layers. Nitrogen was assumed to be partitioned between cellular components associated with light harvesting, carbon fixation, biosynthesis, and photoprotection. The model was used to predict how resources are (re)distributed to optimize growth in the different environments. Optimal intracellular nitrogen allocation in dynamic environments was associated with constitutive investment in Calvin cycle enzymes; in contrast, in the static environment Calvin cycle allocation was reduced at low light. Furthermore, reduced allocation to components associated with photoprotection in static environments led to heavily inhibited photosynthesis‐irradiance response consistent with that of Prochlorococcus adapted to relatively stable oligotrophic gyres. In contrast, photosynthetic response in the diatom Skeletonema costatum was better explained by maintenance of photoprotection components across a range of integrated light doses. Limited range of chlorophyll : C in Thalassiosira pseudonana was consistent with optimization of resource allocation to light‐harvesting components in dynamic environments, in contrast to the relatively wide range in allocation to light harvesting predicted by the model in static environments and chlorophyll cell−1 observed in high‐light‐adapted Prochlorococcus. The model was used to explain variability of the photosynthesis‐irradiance response of samples from the Celtic and Irish Seas. Photoacclimation state is a consequence of optimization of resource allocation to the set of environmental parameters (e.g., surface irradiance, depth of mixing, and light attenuation) that influence light variability.
DOI: 10.3354/meps09194
发表时间: 2011
影响因子: 2.5
作者:
Ross O
通讯作者: Ross O