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1
Adaptive adjustments to light in foliage and whole-plant characteristics depend on relative age in the perennial herb Leontodon hispidus.多年生草本植物糙叶狮牙草中,叶片和整株植物特征对光照的适应性调整取决于相对年龄。
New Phytol. 2004 Jun;162(3):683-696. doi: 10.1111/j.1469-8137.2004.01071.x.
2
Vegetative phase change in Populus tremula × alba.毛白杨营养生长阶段的转变。
New Phytol. 2021 Jul;231(1):351-364. doi: 10.1111/nph.17316. Epub 2021 Apr 1.
3
MicroRNA156-mediated changes in leaf composition lead to altered photosynthetic traits during vegetative phase change.MicroRNA156 介导的叶片组成变化导致营养阶段转变过程中光合特性的改变。
New Phytol. 2021 Aug;231(3):1008-1022. doi: 10.1111/nph.17007. Epub 2020 Nov 12.
4
The Leaf Economics Spectrum Constrains Phenotypic Plasticity Across a Light Gradient.叶经济谱限制了光梯度下的表型可塑性。
Front Plant Sci. 2020 Jun 11;11:735. doi: 10.3389/fpls.2020.00735. eCollection 2020.
5
Leaf traits and performance vary with plant age and water availability in Artemisia californica.在加利福尼亚蒿属植物中,叶片特征和性能随植物年龄和水分可利用性而变化。
Ann Bot. 2021 Mar 24;127(4):495-503. doi: 10.1093/aob/mcaa106.
6
Rate of photosynthetic induction in fluctuating light varies widely among genotypes of wheat.波动光下光合作用诱导的速率在小麦的不同基因型中差异很大。
J Exp Bot. 2019 May 9;70(10):2787-2796. doi: 10.1093/jxb/erz100.
7
Intraspecific variation in soy across the leaf economics spectrum.大豆在叶片经济谱中的种内变异。
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Within-species patterns challenge our understanding of the leaf economics spectrum.种内模式挑战了我们对叶片经济谱的理解。
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9
Slow induction of photosynthesis on shade to sun transitions in wheat may cost at least 21% of productivity.小麦从遮荫环境过渡到阳光充足环境时,光合作用的缓慢诱导可能会使生产力至少损失21%。
Philos Trans R Soc Lond B Biol Sci. 2017 Sep 26;372(1730). doi: 10.1098/rstb.2016.0543.
10
Effects of plant growth rate and leaf lifetime on the amount and type of anti-herbivore defense.植物生长速率和叶片寿命对抗食草动物防御的数量和类型的影响。
Oecologia. 1988 Jan;74(4):531-536. doi: 10.1007/BF00380050.

营养生长阶段转变的碳经济学。

The carbon economics of vegetative phase change.

机构信息

Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Department of Biology, Pennsylvania State University, University Park, Pennsylvania, USA.

出版信息

Plant Cell Environ. 2022 Apr;45(4):1286-1297. doi: 10.1111/pce.14281. Epub 2022 Feb 17.

DOI:10.1111/pce.14281
PMID:35128680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10939109/
Abstract

Across plant species and biomes, a conserved set of leaf traits govern the economic strategy used to assimilate and invest carbon. As plants age, they face new challenges that may require shifts in this leaf economic strategy. In this study, we investigate the role of the developmental transition, vegetative phase change (VPC), in altering carbon economics as plants age. We used overexpression of microRNA 156 (miR156), the master regulator of VPC, to modulate the timing of VPC in Populus tremula x alba, Arabidopsis thaliana and Zea mays to understand the impact of this transition on leaf economic traits, including construction cost, payback time and return on investment. Here, we find that VPC causes a shift from a low-cost, quick return juvenile strategy to a high-cost, high-return adult strategy. The juvenile strategy is advantageous in light-limited conditions, whereas the adult strategy provides greater returns in high light. The transition between these strategies is correlated with the developmental decline in the level of miR156, suggesting that is regulated by the miR156/SPL pathway. Our results provide an ecophysiological explanation for the existence of juvenile and adult leaf types and suggest that natural selection for these alternative economic strategies could be an important factor in plant evolution.

摘要

在植物物种和生物群落中,一组保守的叶片特征控制着用于同化和投资碳的经济策略。随着植物的衰老,它们会面临新的挑战,这可能需要改变这种叶片经济策略。在这项研究中,我们研究了发育转变,即营养生长向生殖生长转变(VPC),在植物衰老过程中改变碳经济学的作用。我们使用 microRNA 156(miR156)的过表达,即 VPC 的主调控因子,来调节 Populus tremula x alba、Arabidopsis thaliana 和 Zea mays 中的 VPC 时间,以了解这种转变对叶片经济特性的影响,包括构建成本、回报时间和投资回报率。在这里,我们发现 VPC 导致从低成本、快速回报的幼年期策略向高成本、高回报的成年期策略的转变。幼年期策略在光照有限的条件下是有利的,而成年期策略在高光下提供更高的回报。这些策略之间的转变与 miR156 水平的发育性下降相关,表明它受到 miR156/SPL 途径的调控。我们的结果为幼年期和成年期叶片类型的存在提供了一种生态生理学解释,并表明对这些替代经济策略的自然选择可能是植物进化的一个重要因素。