ARC Centre of Excellence in Plant Energy Biology, Research School of Biology, The Australian National University, Building 134, Canberra, ACT, 2601, Australia.
Chengdu Institute of Biology, Chinese Academy of Sciences, No. 9, Section 4, Renmin South Road, Chengdu, Sichuan, 610041, China.
Glob Chang Biol. 2017 Jul;23(7):2783-2800. doi: 10.1111/gcb.13566. Epub 2017 Jan 3.
Understanding of the extent of acclimation of light-saturated net photosynthesis (A ) to temperature (T), and associated underlying mechanisms, remains limited. This is a key knowledge gap given the importance of thermal acclimation for plant functioning, both under current and future higher temperatures, limiting the accuracy and realism of Earth system model (ESM) predictions. Given this, we analysed and modelled T-dependent changes in photosynthetic capacity in 10 wet-forest tree species: six from temperate forests and four from tropical forests. Temperate and tropical species were each acclimated to three daytime growth temperatures (T ): temperate - 15, 20 and 25 °C; tropical - 25, 30 and 35 °C. CO response curves of A were used to model maximal rates of RuBP (ribulose-1,5-bisphosphate) carboxylation (V ) and electron transport (J ) at each treatment's respective T and at a common measurement T (25 °C). SDS-PAGE gels were used to determine abundance of the CO -fixing enzyme, Rubisco. Leaf chlorophyll, nitrogen (N) and mass per unit leaf area (LMA) were also determined. For all species and T , A at current atmospheric CO partial pressure was Rubisco-limited. Across all species, LMA decreased with increasing T . Similarly, area-based rates of V at a measurement T of 25 °C (V ) linearly declined with increasing T , linked to a concomitant decline in total leaf protein per unit leaf area and Rubisco as a percentage of leaf N. The decline in Rubisco constrained V and A for leaves developed at higher T and resulted in poor predictions of photosynthesis by currently widely used models that do not account for T -mediated changes in Rubisco abundance that underpin the thermal acclimation response of photosynthesis in wet-forest tree species. A new model is proposed that accounts for the effect of T -mediated declines in V on A , complementing current photosynthetic thermal acclimation models that do not account for T sensitivity of V .
对光饱和净光合作用(A )对温度(T)的适应程度及其相关的潜在机制的理解仍然有限。鉴于热适应对植物功能的重要性,特别是在当前和未来更高温度下,这是一个关键的知识空白,限制了地球系统模型(ESM)预测的准确性和现实性。有鉴于此,我们分析和模拟了 10 种湿地树种的光合能力对 T 的依赖性变化:6 种来自温带森林,4 种来自热带森林。温带和热带物种分别适应三个日间生长温度(T):温带-15、20 和 25°C;热带-25、30 和 35°C。使用 A 的 CO 响应曲线来模拟每个处理的各自 T 和共同测量 T(25°C)下 RuBP(核酮糖-1,5-二磷酸)羧化(V)和电子传递(J)的最大速率。SDS-PAGE 凝胶用于确定 CO 固定酶 Rubisco 的丰度。还测定了叶片叶绿素、氮(N)和单位叶面积质量(LMA)。对于所有物种和 T,在当前大气 CO 分压下,A 受到 Rubisco 的限制。在所有物种中,LMA 随 T 的增加而降低。同样,以测量 T 25°C 时的面积为基础的 V 率(V)随 T 的增加而线性下降,这与单位叶面积的总叶蛋白和 Rubisco 作为叶 N 的百分比的相应下降有关。Rubisco 的减少限制了 V 和在较高 T 下发育的叶片的 A,导致目前广泛使用的模型对光合作用的预测不佳,这些模型不考虑 Rubisco 丰度对 T 的介导变化,而这些变化是湿地树种光合作用热适应反应的基础。提出了一种新模型,该模型考虑了 T 介导的 V 对 A 的下降的影响,补充了目前不考虑 V 对 T 敏感性的光合作用热适应模型。