Department of Organisms and Systems Biology, Institute of Biotechnology of Asturias, University of Oviedo, Oviedo, Spain.
Plant Cell Environ. 2021 Jun;44(6):1977-1986. doi: 10.1111/pce.14007. Epub 2021 Feb 22.
The elucidation of plant health status requires quantifying multiple molecular metabolism markers. Until now, the extraction of these biomarkers is performed independently, with different extractions and protocols. This approach is inefficient, since it increases laboratory time, amount of sample, and could introduce biases or difficulties when comparing data. To limit these drawbacks, we introduce a versatile protocol for quantifying seven of the most commonly analysed biomarkers (photosynthetic pigments, free amino acids, soluble sugars, starch, phenolic compounds, flavonoids and malondialdehyde) covering substantial parts of plant metabolism, requiring only a minimum sample amount and common laboratory instrumentation. The procedures of this protocol rely on classic methods that have been updated to allow their sequential use, increasing reproducibility, sensibility and easiness to obtain quantitative results. Our method has been tested and validated over an extended diversity of organisms (Arabidopsis thaliana, Solanum lycopersicum, Olea europaea, Quercus ilex, Pinus pinaster and Chlamydomonas reinhardtii), tissues (leaves, roots and seeds) and stresses (cold, drought, heat, ultraviolet B and nutrient deficiency). Its application will allow increasing the number of parameters that can be monitored at once while decreasing sample handling and consequently, increasing the capacity of the laboratory.
阐明植物健康状况需要定量分析多种分子代谢标志物。到目前为止,这些生物标志物的提取是独立进行的,采用不同的提取和方案。这种方法效率低下,因为它增加了实验室时间、样品量,并且在比较数据时可能会引入偏差或困难。为了限制这些缺点,我们引入了一种通用的方案,用于定量分析七种最常分析的生物标志物(光合色素、游离氨基酸、可溶性糖、淀粉、酚类化合物、类黄酮和丙二醛),涵盖了植物代谢的大部分内容,仅需要最小量的样品和常见的实验室仪器。该方案的程序依赖于经典方法,这些方法已经过更新,允许它们顺序使用,从而提高了重现性、敏感性和获得定量结果的容易程度。我们的方法已经在广泛的生物体(拟南芥、番茄、油橄榄、栓皮栎、欧洲赤松和莱茵衣藻)、组织(叶片、根和种子)和胁迫(冷、干旱、热、紫外 B 和营养缺乏)中进行了测试和验证。它的应用将允许同时监测更多的参数,同时减少样品处理,从而提高实验室的能力。