Metabolic Analysis of Medicinal Dendrobium officinale and Dendrobium huoshanense during Different Growth Years

Metabolomics technology has enabled an important method for the identification and quality control of Traditional Chinese Medical materials. In this study, we isolated metabolites from cultivated Dendrobium officinale and Dendrobium huoshanense stems of different growth years in the methanol/water phase and identified them using gas chromatography coupled with mass spectrometry (GC-MS). First, a metabolomics technology platform for Dendrobium was constructed. The metabolites in the Dendrobium methanol/water phase were mainly sugars and glycosides, amino acids, organic acids, alcohols. D. officinale and D. huoshanense and their growth years were distinguished by cluster analysis in combination with multivariate statistical analysis, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). Eleven metabolites that contributed significantly to this differentiation were subjected to t-tests (P<0.05) to identify biomarkers that discriminate between D. officinale and D. huoshanense, including sucrose, glucose, galactose, succinate, fructose, hexadecanoate, oleanitrile, myo-inositol, and glycerol. Metabolic profiling of the chemical compositions of Dendrobium species revealed that the polysaccharide content of D. huoshanense was higher than that of D. officinale, indicating that the D. huoshanense was of higher quality. Based on the accumulation of Dendrobium metabolites, the optimal harvest time for Dendrobium was in the third year. This initial metabolic profiling platform for Dendrobium provides an important foundation for the further study of secondary metabolites (pharmaceutical active ingredients) and metabolic pathways.

[1]  D. Ware,et al.  Correction: Metabolomic Profiling of the Nectars of Aquilegia pubescens and A. Canadensis , 2015, PLoS ONE.

[2]  Huizhong Wang,et al.  Start codon targeted (SCoT) and target region amplification polymorphism (TRAP) for evaluating the genetic relationship of Dendrobium species. , 2015, Gene.

[3]  D. Ware,et al.  Correction: Metabolomic Profiling of the Nectars of Aquilegia pubescens and A. Canadensis , 2015, PloS one.

[4]  Wenxue Ye,et al.  Dynamic Metabolic Profiles and Tissue-Specific Source Effects on the Metabolome of Developing Seeds of Brassica napus , 2015, PloS one.

[5]  Guowang Xu,et al.  Metabolomics-Based Studies on Artemisinin Biosynthesis , 2015 .

[6]  S. Kwon,et al.  Comparison of primary and secondary metabolites for suitability to discriminate the origins of Schisandra chinensis by GC/MS and LC/MS. , 2013, Food chemistry.

[7]  V. Virjamo,et al.  Shoot development of Norway spruce (Picea abies) involves changes in piperidine alkaloids and condensed tannins , 2013, Trees.

[8]  Jian‐Wu Li,et al.  Molecular systematics of Dendrobium (Orchidaceae, Dendrobieae) from mainland Asia based on plastid and nuclear sequences. , 2013, Molecular phylogenetics and evolution.

[9]  Jun Xu,et al.  Chemistry, bioactivity and quality control of Dendrobium, a commonly used tonic herb in traditional Chinese medicine , 2013, Phytochemistry Reviews.

[10]  Yongping Cai,et al.  Molecular Cloning and Sequence Analysis of a Phenylalanine Ammonia-Lyase Gene from Dendrobium , 2013, PloS one.

[11]  Suhong Chen,et al.  [Review of pharmacological activities of Dendrobium officinale based on traditional functions]. , 2013, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.

[12]  Chun-lan Wang,et al.  Discrimination of the rare medicinal plant Dendrobium officinale based on naringenin, bibenzyl, and polysaccharides , 2012, Science China Life Sciences.

[13]  W. Jia,et al.  Use of the metabolomics approach to characterize Chinese medicinal material Huangqi. , 2012, Molecular plant.

[14]  Yao Tong,et al.  Review of research on Dendrobium, a prized folk medicine , 2012, Applied Microbiology and Biotechnology.

[15]  Xi-jun Wang,et al.  Metabolomics study on Fuzi and its processed products using ultra-performance liquid-chromatography/electrospray-ionization synapt high-definition mass spectrometry coupled with pattern recognition analysis. , 2012, The Analyst.

[16]  Byeong Yeob Choi,et al.  Metabolomic approach for age discrimination of Panax ginseng using UPLC-Q-Tof MS. , 2011, Journal of agricultural and food chemistry.

[17]  J. Si,et al.  [Variation of monosacchride composition of polysacchrides in Dendrobium officinale by pre-column derivatization HPLC method]. , 2011, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.

[18]  Oliver Yu,et al.  Metabolic profiling of strawberry (Fragaria x ananassa Duch.) during fruit development and maturation. , 2011, Journal of experimental botany.

[19]  E. Chan,et al.  Ultra-high performance liquid chromatography/time-of-flight mass spectrometry (UHPLC/TOFMS) for time-dependent profiling of raw and steamed Panax notoginseng. , 2010, Journal of pharmaceutical and biomedical analysis.

[20]  Pérez Gutiérrez Orchids : A review of uses in traditional medicine, its phytochemistry and pharmacology , 2010 .

[21]  H. Vogel,et al.  Quality assessment of ginseng by (1)H NMR metabolite fingerprinting and profiling analysis. , 2009, Journal of agricultural and food chemistry.

[22]  Eiichiro Fukusaki,et al.  Fast GC-FID based metabolic fingerprinting of Japanese green tea leaf for its quality ranking prediction. , 2009, Journal of separation science.

[23]  E. Fukusaki,et al.  Metabolic profiling of Angelica acutiloba roots utilizing gas chromatography-time-of-flight-mass spectrometry for quality assessment based on cultivation area and cultivar via multivariate pattern recognition. , 2008, Journal of bioscience and bioengineering.

[24]  A. Fernie,et al.  Gas chromatography mass spectrometry–based metabolite profiling in plants , 2006, Nature Protocols.

[25]  O. Junttila,et al.  Cold-induced freezing tolerance in Arabidopsis. , 1999, Plant physiology.