Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry metabolomic profiling reveals harvest age dependent changes in the roots of Pelargonium sidoides DC.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Kundani Khameli, Muinat Nike Lewu, Takalani Mulaudzi, Oluwafemi Ayodeji Adebo, Oluwatobi Samuel Oluwafemi
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Abstract

Introduction: Cultivation of medicinal plants provides an opportunity for economic gain and health care accessibility. Ensuring consistent quality plant material is important for plants such as Pelargonium sidoides DC used for production of phytomedicines that are available in local and international markets. There is limited research on how agronomic factors affects phytochemicals in P. sidoides roots.

Objective: To evaluate the effect of different irrigation regimes and harvesting age on metabolite accumulation in dried roots of P. sidoides.

Methodology: Irrigation was applied at 75%, 50% and 25% plant available water (PAW) corresponding to well- watered, moderate water deficit and severe water deficit respectively. P. sidoides, which were harvested at 6, 12 and 18 months after imposing the different water deficit treatments, roots dried and subjected to ultra-performance liquid chromatography -quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) coupled with multivariate statistical analysis.

Results: Unsupervised multivariate analysis showed that irrigation did not affect the obtained metabolic features. Orthogonal partial least squares discriminant analysis (OPLS-DA) showed statistically significance difference between 6 versus 12- and 18- months harvest ages. Compounds such as umckalin, epigallocatechin dimer, and gallic acid were increased in 12 and 18 months compared to the 6 months harvest. Sucrose/trehalose was increased by 0.2431- and 0.560- fold in 6 months compared to 12- and 18-months harvest ages respectively. On quantification, umckalin increased from 260.40 mg/kg DW at 6 months to 431.61 mg/kg DW at 12 months, while epigallocatechin rose from 342.98 mg/kg DW to 505.58 mg/kg DW over the same period. Umckalin sulphate was highest at 6 months under 25% PAW (7110.32 mg/kg DW) and decreased at 12 months harvest under the same irrigation level (4522.05 mg/kg DW).

Conclusion: The results indicated that younger plants accumulated more primary metabolites and modified secondary metabolites, whereas older plants accumulate more secondary metabolites. Moreover, cultivation of P. sidoides in limited water is plausible.

超高效液相色谱-四极杆飞行时间质谱代谢组学分析揭示了天竺葵(Pelargonium sidoides DC)根的收获年龄依赖性变化。
导言:药用植物的种植为经济收益和卫生保健提供了机会。确保始终如一的高质量植物材料对于诸如天竺葵(Pelargonium sidoides DC)等用于生产可在当地和国际市场上获得的植物药物的植物材料非常重要。农艺因素如何影响草根中植物化学物质的研究有限。目的:研究不同灌溉方式和采收年龄对夏菖蒲干根代谢产物积累的影响。方法:采用75%、50%和25%植物有效水分(PAW)灌溉,分别对应水分充足、中度亏水和重度亏水。在不同水分亏缺处理后6、12和18个月采收的侧边草,将根部干燥,并进行超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF-MS)结合多元统计分析。结果:无监督多变量分析显示,灌溉对获得的代谢特征没有影响。正交偏最小二乘判别分析(OPLS-DA)显示6月龄与12月龄和18月龄之间差异有统计学意义。与6个月的收获相比,12个月和18个月的收获增加了乌马卡林、表没食子儿茶素二聚体和没食子酸等化合物。6个月蔗糖/海藻糖比12个月和18个月分别提高了0.2431倍和0.560倍。定量结果显示,小檗碱从6个月时的260.40 mg/kg DW增加到12个月时的431.61 mg/kg DW,未食子儿茶素从342.98 mg/kg DW增加到505.58 mg/kg DW。在25% PAW条件下,Umckalin硫酸盐含量在收获6个月时最高(7110.32 mg/kg DW),在相同灌溉水平下,Umckalin硫酸盐含量在收获12个月时下降(4522.05 mg/kg DW)。结论:年轻植株积累了更多的初级代谢物和修饰的次生代谢物,而年老植株积累了更多的次生代谢物。此外,在有限的水条件下种植野侧枝也是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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