Lopez-Guerrero Martha G, Wang Peng, Phares Felicia, Schachtman Daniel P, Alvarez Sophie, van Dijk Karin
Biochemistry Department, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Plant Methods. 2022 Mar 5;18(1):25. doi: 10.1186/s13007-022-00856-4.
Although there have been numerous studies describing plant growth systems for root exudate collection, a common limitation is that these systems require disruption of the plant root system to facilitate exudate collection. Here, we present a newly designed semi-hydroponic system that uses glass beads as solid support to simulate soil impedance, which combined with drip irrigation, facilitates growth of healthy maize plants, collection and analysis of root exudates, and phenotyping of the roots with minimal growth disturbance or root damage.
This system was used to collect root exudates from seven maize genotypes using water or 1 mM CaCl, and to measure root phenotype data using standard methods and the Digital imaging of root traits (DIRT) software. LC-MS/MS (Liquid Chromatography-Tandem Mass Spectrometry) and GC-MS (Gas Chromatography-Mass Spectrometry) targeted metabolomics platforms were used to detect and quantify metabolites in the root exudates. Phytohormones, some of which are reported in maize root exudates for the first time, the benzoxazinoid DIMBOA (2,4-Dihydroxy-7-methoxy-1,4-benzoxazin-3-one), amino acids, and sugars were detected and quantified. After validating the methodology using known concentrations of standards for the targeted compounds, we found that the choice of the exudate collection solution affected the exudation and analysis of a subset of analyzed metabolites. No differences between collection in water or CaCl were found for phytohormones and sugars. In contrast, the amino acids were more concentrated when water was used as the exudate collection solution. The collection in CaCl required a clean-up step before MS analysis which was found to interfere with the detection of a subset of the amino acids. Finally, using the phenotypic measurements and the metabolite data, significant differences between genotypes were found and correlations between metabolites and phenotypic traits were identified.
A new plant growth system combining glass beads supported hydroponics with semi-automated drip irrigation of sterile solutions was implemented to grow maize plants and collect root exudates without disturbing or damaging the roots. The validated targeted exudate metabolomics platform combined with root phenotyping provides a powerful tool to link plant root and exudate phenotypes to genotype and study the natural variation of plant populations.
尽管已有大量研究描述用于根系分泌物收集的植物生长系统,但一个常见的局限性是这些系统需要破坏植物根系以促进分泌物收集。在此,我们展示了一种新设计的半水培系统,该系统使用玻璃珠作为固体支撑物来模拟土壤阻抗,结合滴灌,有助于健康玉米植株的生长、根系分泌物的收集与分析,以及在对根系生长干扰或损伤最小的情况下对根系进行表型分析。
该系统用于使用水或1 mM氯化钙从七种玉米基因型中收集根系分泌物,并使用标准方法和根系性状数字成像(DIRT)软件测量根系表型数据。液相色谱 - 串联质谱(LC-MS/MS)和气相色谱 - 质谱(GC-MS)靶向代谢组学平台用于检测和定量根系分泌物中的代谢物。检测并定量了植物激素(其中一些是首次在玉米根系分泌物中报道)、苯并恶嗪类化合物DIMBOA(2,4 - 二羟基 - 7 - 甲氧基 - 1,4 - 苯并恶嗪 - 3 - 酮)、氨基酸和糖类。在用已知浓度的目标化合物标准品验证该方法后,我们发现分泌物收集溶液的选择会影响一部分被分析代谢物的分泌和分析。在植物激素和糖类方面,在水中或氯化钙中收集未发现差异。相比之下,当使用水作为分泌物收集溶液时,氨基酸浓度更高。在氯化钙中收集需要在质谱分析前进行净化步骤,这被发现会干扰一部分氨基酸的检测。最后,利用表型测量和代谢物数据,发现了基因型之间的显著差异,并确定了代谢物与表型性状之间的相关性。
实施了一种新的植物生长系统,该系统将玻璃珠支撑的水培与无菌溶液的半自动滴灌相结合,用于种植玉米植株并收集根系分泌物,而不会干扰或损伤根系。经过验证的靶向分泌物代谢组学平台与根系表型分析相结合,提供了一个强大的工具,可将植物根系和分泌物表型与基因型联系起来,并研究植物群体的自然变异。