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标准化的方案和程序可以精确且准确地量化非结构性碳水化合物。

Standardized protocols and procedures can precisely and accurately quantify non-structural carbohydrates.

机构信息

Department of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada.

Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, NM, USA.

出版信息

Tree Physiol. 2018 Dec 1;38(12):1764-1778. doi: 10.1093/treephys/tpy118.

Abstract

Non-structural carbohydrates (NSCs), the stored products of photosynthesis, building blocks for growth and fuel for respiration, are central to plant metabolism, but their measurement is challenging. Differences in methods and procedures among laboratories can cause results to vary widely, limiting our ability to integrate and generalize patterns in plant carbon balance among studies. A recent assessment found that NSC concentrations measured for a common set of samples can vary by an order of magnitude, but sources for this variability were unclear. We measured a common set of nine plant material types, and two synthetic samples with known NSC concentrations, using a common protocol for sugar extraction and starch digestion, and three different sugar quantification methods (ion chromatography, enzyme, acid) in six laboratories. We also tested how sample handling, extraction solvent and centralizing parts of the procedure in one laboratory affected results. Non-structural carbohydrate concentrations measured for synthetic samples were within about 11.5% of known values for all three methods. However, differences among quantification methods were the largest source of variation in NSC measurements for natural plant samples because the three methods quantify different NSCs. The enzyme method quantified only glucose, fructose and sucrose, with ion chromatography we additionally quantified galactose, while the acid method quantified a large range of mono- and oligosaccharides. For some natural samples, sugars quantified with the acid method were two to five times higher than with other methods, demonstrating that trees allocate carbon to a range of sugar molecules. Sample handling had little effect on measurements, while ethanol sugar extraction improved accuracy over water extraction. Our results demonstrate that reasonable accuracy of NSC measurements can be achieved when different methods are used, as long as protocols are robust and standardized. Thus, we provide detailed protocols for the extraction, digestion and quantification of NSCs in plant samples, which should improve the comparability of NSC measurements among laboratories.

摘要

非结构性碳水化合物(NSC)是光合作用的储存产物,是生长的构建块和呼吸的燃料,是植物代谢的核心,但它们的测量具有挑战性。不同实验室之间的方法和程序的差异会导致结果差异很大,限制了我们在植物碳平衡研究中整合和概括模式的能力。最近的一项评估发现,对于一组常见的样本,测量的 NSC 浓度可以相差一个数量级,但这种可变性的来源尚不清楚。我们使用一种常见的糖提取和淀粉消化方案以及三种不同的糖定量方法(离子色谱法、酶法、酸法),在六个实验室中测量了一组常见的九种植物材料类型和两种具有已知 NSC 浓度的合成样本。我们还测试了一个实验室中样本处理、提取溶剂和程序中心化部分如何影响结果。用三种方法测量的合成样本的 NSC 浓度都在已知值的 11.5%左右。然而,对于天然植物样本,定量方法之间的差异是 NSC 测量中最大的变异来源,因为这三种方法定量不同的 NSCs。酶法仅定量葡萄糖、果糖和蔗糖,而离子色谱法则额外定量半乳糖,而酸法则定量大量的单糖和寡糖。对于一些天然样本,用酸法定量的糖比其他方法高两到五倍,这表明树木将碳分配到一系列糖分子中。样本处理对测量结果的影响很小,而乙醇糖提取比水提取更能提高准确性。我们的结果表明,只要方案稳健且标准化,当使用不同的方法时,可以实现 NSC 测量的合理准确性。因此,我们提供了植物样本中 NSC 提取、消化和定量的详细方案,这应该会提高实验室之间 NSC 测量的可比性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03d1/6301340/8ba0e23513aa/tpy118f01.jpg

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