Bounds on stomatal size can explain scaling with stomatal density in forest plants.

IF 8.1 1区 生物学 Q1 PLANT SCIENCES
New Phytologist Pub Date : 2025-10-06 DOI:10.1111/nph.70626
Congcong Liu,Christopher D Muir,Lawren Sack,Ying Li,Li Xu,Mingxu Li,Jiahui Zhang,Hugo Jan de Boer,Xingguo Han,Guirui Yu,Nianpeng He
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引用次数: 0

Abstract

A prevailing hypothesis posits that achieving higher maximum rates of leaf carbon gain and water loss is constrained by geometry and/or selection to limit the allocation of epidermal area to stomata (fS). Under this 'stomatal-area minimization hypothesis', higher gs,max is associated with greater numbers of smaller stomata because this trait combination increases gs,max with minimal increase in fS, leading to relative conservation of fS semi-independent of gs,max due to coordination in stomatal size, density, and pore depth. An alternative hypothesis is that the evolution of higher gs,max can be enabled by a greater epidermal area allocated to stomata, leading to positive covariation between fS and gs,max; we call this the 'stomatal-area adaptation hypothesis'. Under this hypothesis, the interspecific scaling between gs,max, stomatal density, and stomatal size is a by-product of selection on a moving optimal gs,max. We integrated biophysical and evolutionary quantitative genetic modeling with phylogenetic comparative analyses of a global data set of stomatal density and size from 2408 vascular forest species. The models present specific assumptions of both hypotheses and deduce predictions that can be evaluated with our empirical analyses of forest plants. There are three main results. First, neither the stomatal-area minimization nor adaptation hypothesis is sufficient to be supported. Second, estimates of interspecific scaling from common regression methods cannot reliably distinguish between hypotheses when stomatal size is bounded. Third, we reconcile both hypotheses with the data by including an additional assumption that stomatal size is bounded by a wide range and under selection; we refer to this synthetic hypothesis as the 'stomatal adaptation + bounded size' hypothesis. This study advances our understanding of scaling between stomatal size and density by mathematically describing specific assumptions of competing hypotheses, demonstrating that existing hypotheses are inconsistent with observations, and reconciling these hypotheses with phylogenetic comparative analyses by postulating a synthetic model of selection on gs,max, fS, and stomatal size.
在森林植物中,气孔大小的变化可以解释气孔密度的变化。
一种流行的假设认为,实现更高的叶片碳增益和水分损失率受到几何形状和/或选择的限制,以限制表皮面积分配给气孔(fS)。在这种“气孔面积最小化假说”下,较高的gs,max与较多的小气孔有关,因为这种性状组合增加了gs,max与最小的fS增加有关,导致fS的相对保存半独立于gs,max是由于气孔大小、密度和孔深的协调。另一种假说认为,更高的gs,max的进化可能是由于更大的表皮面积分配给气孔,导致fS和gs,max之间的正协变;我们称之为“气孔区域适应假说”。在此假设下,gs、max、气孔密度和气孔大小之间的种间尺度变化是对移动的最优gs、max进行选择的副产物。对2408种维管林物种的气孔密度和大小进行了系统发育比较分析,并将生物物理和进化定量遗传模型与系统发育比较分析相结合。这些模型提出了两种假设的具体假设,并推导出可以通过我们对森林植物的实证分析进行评估的预测。主要有三个结果。首先,气孔面积最小化假说和适应假说都不足以得到支持。其次,当气孔大小有界时,常用回归方法对种间尺度的估计不能可靠地区分假设。第三,我们通过加入一个额外的假设来调和这两个假设和数据,即气孔大小有一个广泛的范围和选择;我们把这种综合假设称为“气孔适应+有界大小”假设。本研究通过数学描述竞争性假设的具体假设,证明现有假设与观测结果不一致,并通过假设gs、max、fS和气孔大小的综合选择模型,使这些假设与系统发育比较分析相协调,从而提高了我们对气孔大小和密度之间尺度关系的理解。
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来源期刊
New Phytologist
New Phytologist 生物-植物科学
自引率
5.30%
发文量
728
期刊介绍: New Phytologist is an international electronic journal published 24 times a year. It is owned by the New Phytologist Foundation, a non-profit-making charitable organization dedicated to promoting plant science. The journal publishes excellent, novel, rigorous, and timely research and scholarship in plant science and its applications. The articles cover topics in five sections: Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology. These sections encompass intracellular processes, global environmental change, and encourage cross-disciplinary approaches. The journal recognizes the use of techniques from molecular and cell biology, functional genomics, modeling, and system-based approaches in plant science. Abstracting and Indexing Information for New Phytologist includes Academic Search, AgBiotech News & Information, Agroforestry Abstracts, Biochemistry & Biophysics Citation Index, Botanical Pesticides, CAB Abstracts®, Environment Index, Global Health, and Plant Breeding Abstracts, and others.
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