Dow Graham J, Bergmann Dominique C, Berry Joseph A
Department of Biology, Stanford University, 371 Serra Mall, Stanford, CA, 94305, USA.
Howard Hughes Medical Institute, Stanford University, 371 Serra Mall, Stanford, CA, 94305, USA.
New Phytol. 2014 Mar;201(4):1218-1226. doi: 10.1111/nph.12608. Epub 2013 Nov 19.
• Stomatal conductance (g(s)) is constrained by the size and number of stomata on the plant epidermis, and the potential maximum rate of g(s) can be calculated based on these stomatal traits (Anatomical g(smax)). However, the relationship between Anatomical g(smax) and operational g(s) under atmospheric conditions remains undefined. • Leaf-level gas-exchange measurements were performed for six Arabidopsis thaliana genotypes that have different Anatomical g(smax) profiles resulting from mutations or transgene activity in stomatal development. • We found that Anatomical g(smax) was an accurate prediction of g(s) under gas-exchange conditions that maximized stomatal opening, namely high-intensity light, low [CO₂], and high relative humidity. Plants with different Anatomical g(smax) had quantitatively similar responses to increasing [CO₂] when g(s) was scaled to Anatomical g(smax). This latter relationship allowed us to produce and test an empirical model derived from the Ball-Woodrow-Berry equation that estimates g(s) as a function of Anatomical g(smax), relative humidity, and [CO₂] at the leaf. • The capacity to predict operational g(s) via Anatomical g(smax) and the pore-specific short-term response to [CO₂] demonstrates a precise link between stomatal development and leaf physiology. This connection should be useful to quantify the gas flux of plants in past, present, and future CO₂ regimes based upon the anatomical features of stomata.
• 气孔导度(g(s))受植物表皮气孔的大小和数量限制,g(s)的潜在最大速率可根据这些气孔特征计算得出(解剖学g(smax))。然而,大气条件下解剖学g(smax)与实际g(s)之间的关系仍不明确。
• 对六种拟南芥基因型进行了叶片水平的气体交换测量,这些基因型由于气孔发育中的突变或转基因活性而具有不同的解剖学g(smax)特征。
• 我们发现,在使气孔开度最大化的气体交换条件下,即高强度光照、低[CO₂]和高相对湿度下,解剖学g(smax)能准确预测g(s)。当g(s)按解剖学g(smax)进行缩放时,具有不同解剖学g(smax)的植物对[CO₂]增加的反应在数量上相似。后一种关系使我们能够生成并测试一个基于Ball-Woodrow-Berry方程推导的经验模型,该模型将g(s)估计为解剖学g(smax)、相对湿度和叶片[CO₂]的函数。
• 通过解剖学g(smax)预测实际g(s)的能力以及气孔对[CO₂]的特定短期响应,证明了气孔发育与叶片生理之间的精确联系。这种联系对于根据气孔的解剖特征量化过去、现在和未来CO₂条件下植物的气体通量应该是有用的。