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在碳水化合物和脂质的生物合成过程中,H-馏分在植物有机化合物的δ H 值上留下了代谢信号。

H-fractionations during the biosynthesis of carbohydrates and lipids imprint a metabolic signal on the δ H values of plant organic compounds.

机构信息

Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland.

Department of Environmental Sciences - Botany, University of Basel, Schönbeinstrasse 6, 4056, Basel, Switzerland.

出版信息

New Phytol. 2018 Apr;218(2):479-491. doi: 10.1111/nph.15016. Epub 2018 Feb 20.

Abstract

Hydrogen (H) isotope ratio (δ H) analyses of plant organic compounds have been applied to assess ecohydrological processes in the environment despite a large part of the δ H variability observed in plant compounds not being fully elucidated. We present a conceptual biochemical model based on empirical H isotope data that we generated in two complementary experiments that clarifies a large part of the unexplained variability in the δ H values of plant organic compounds. The experiments demonstrate that information recorded in the δ H values of plant organic compounds goes beyond hydrological signals and can also contain important information on the carbon and energy metabolism of plants. Our model explains where H-fractionations occur in the biosynthesis of plant organic compounds and how these H-fractionations are tightly coupled to a plant's carbon and energy metabolism. Our model also provides a mechanistic basis to introduce H isotopes in plant organic compounds as a new metabolic proxy for the carbon and energy metabolism of plants and ecosystems. Such a new metabolic proxy has the potential to be applied in a broad range of disciplines, including plant and ecosystem physiology, biogeochemistry and palaeoecology.

摘要

尽管植物化合物中观察到的大部分氢同位素(δ H)变异尚未完全阐明,但氢(H)同位素比(δ H)分析已被应用于评估环境中的生态水文学过程。我们提出了一个基于经验 H 同位素数据的概念生化模型,该模型澄清了植物有机化合物中δ H 值的大部分无法解释的可变性。这两个互补的实验表明,植物有机化合物的δ H 值中记录的信息不仅包含水文信号,还包含有关植物碳和能量代谢的重要信息。我们的模型解释了 H 分馏在植物有机化合物生物合成中发生的位置,以及这些 H 分馏如何与植物的碳和能量代谢紧密耦合。我们的模型还为植物有机化合物中的 H 同位素作为植物和生态系统碳和能量代谢的新代谢指标提供了一个机械基础。这种新的代谢指标有可能应用于广泛的学科,包括植物和生态系统生理学、生物地球化学和古生态学。

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