Cultivar differentiation of Citri Reticulatae Pericarpium by a combination of hierarchical three-step filtering metabolomics analysis, DNA barcoding and electronic nose
Graphical abstract
Introduction
Citri Reticulatae Pericarpium (CRP), the dried tangerine pericarp, has been broadly applied as a well-known traditional Chinese medicine (TCM), food and dietary supplement in China [1]. Modern pharmacological studies indicate that CRP has various bioactivities, such as effects on gastrointestinal and respiratory systems; antioxidant, anti-inflammatory, and anticancer activities; and the prevention of hyperlipidemia, obesity and type 2 diabetes [2,3]. CRP cultivars are widely distributed in different regions of China, of which Guangchenpi (Citrus reticulata ‘Chachi’, Crc), Dahongpao (Citrus reticulata ‘Dahongpao’, Crd), Wenzhou migan (Citrus reticulata ‘Unshiu’, Cru) and Fuju (Citrus reticulata ‘Tangerina’, Crt) are recorded in the Chinese Pharmacopeia [4]. These four cultivars share great similarities in morphology, chemical constituents, and genomic DNA sequences. Among the CRP cultivars, Crc is the geoherb produced in Xinhui, Guangdong province, and it is traditionally considered to have superior qualities and therapeutic effects [3]. In the Chinese Pharmacopoeia (2015 edition), hesperidin is used as the marker compound for quality control of CRP. However, as all of these four CRP cultivars contain abundant hesperidin, it is impossible to distinguish Crc from the other CRP cultivars by measuring hesperidin [2].
Plant secondary metabolites are an enormous group of small-molecule natural products with high structural diversity [5]. Metabolomics is a rapidly emerging field of postgenomic research that aims to comprehensively analyze the total population of metabolites in samples [6,7]. Recently, metabolomics analysis has been successfully applied to discriminate and differentiate plant phenotypes. For instance, Duan et al. [8] have applied metabolomics analysis to the discrimination of Oryza sativa L. Since CRP is derived from several closely related plant cultivars, little is known about the impact of cultivar variation on plant secondary metabolism. To discriminate different CRP cultivars, a comprehensive understanding of their secondary metabolome is of vital significance.
Methods for identifying species by amplifying short orthologous DNA sequences, known as ‘‘DNA barcoding’’, have been proposed for identification of plants, animals and fungi [9,10]. The barcodes could be located on nuclear rDNA (nrDNA), such as the internal transcribed spacer (ITS) and the internal transcribed spacer 2 (ITS2), or on chloroplast DNA (cpDNA), such as rbcL and the trnH-psbA intergenic spacer [5]. ITS2 is an ideal region, as it evolves comparably fast, contains highly conservative sites, and shows high levels of interspecific divergence, which allows classification of different specimens at the species level [2,9]. Chen et al. [11] suggested that integrated DNA barcodes could provide an efficient and reliable authentication system for herbal products, and the ITS2 region represented the most suitable region for identifying medicinal plant species.
Electronic noses, derived from numerous types of aroma-sensor technologies, are being used with increasing frequency because they allow the acquisition of real-time information about the chemical and physical nature and the quality of plants [12]. Electronic noses have demonstrated their versatility in the quality analysis of citrus fruit juice [13], the differentiation of Chinese robusta coffees [14] and the prediction of food additives [15]. Thus, flavor evaluation of CRP samples may be an effective approach to accurately discriminate these four CRP cultivars.
Integration of the genetic and metabolomic fingerprinting can provide a new approach to differentiate similar TCM materials. In the present study, an efficient and reliable method that combines metabolomics, DNA barcoding and electronic nose was first established to accurately distinguish the four CRP cultivars. A hierarchical three-step filtering metabolomics analysis based on liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) was employed to reveal differences in the secondary metabolomes of CRP cultivars. For molecular authentication of the CRP cultivars, the DNA barcoding of the ITS2 region was further utilized. A nondestructive analysis method based on electronic nose was also developed to distinguish the CRP cultivars by detecting volatile components.
Section snippets
Plant materials
A total of 40 batches of CRP were collected from Guangdong province (China), Sichuan province (China), Wenzhou city (Zhejiang province, China) and Fujian province (China). The sample information is given in Table 1. The voucher specimens, identified by Prof. E-Hu Liu from the Department of Pharmacognosy at China Pharmaceutical University, have been deposited in the State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
Chemicals and reagents
HPLC-grade methanol (Nanjing Chemical
Identification of metabolites differentially accumulated in CRP samples
Metabolomics is a powerful technology for analyzing the similarities and differences between biological samples by profiling and comparing metabolites. However, LC-QTOF-MS unavoidably yields a large number of false-positive signals mixed with true biological signals [8,16]. Thus, it is necessary to systematically evaluate the authenticity of each peak. Here, we propose a modified strategy for a comprehensive LC-QTOF-MS based metabolomics analysis, which enables the unambiguous and facile
Conclusion
In this study, an integrated method combining metabolomics, DNA barcoding and electronic nose was first established to differentiate the 40 batches of CRP cultivars. All of these techniques have demonstrated their potential for discrimination of similar TCM materials. In these CRP cultivars, 19 specific SNP sites were found by the ITS2 region, and 9 species-specific chemical markers, including 6 flavanone glycosides and 3 polymethoxyflavones were discovered by hierarchical three-step filtering
Conflict of interest
The authors have declared no conflict of interest. We wish to confirm that there are no known conflicts of interest associated with this publication, and there has been no significant financial support for this work that could have influenced its outcome.
Acknowledgments
The authors greatly appreciate financial support from the National Key Research and Development Program of China (2017YFC1701105 and 2017YFC1701103), National Natural Science Foundation of China (81673569), National Modern Agricultural Industrial Park of China (No. njf [2017] 110), a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions and "Double First-Class" University project (CPU2018PZQ16 and CPU2018GF04).
References (19)
- et al.
Discrimination of Citrus reticulata Blanco and Citrus reticulata ‘Chachi’ by gas chromatograph-mass spectrometry based metabolomics approach
Food Chem.
(2016) - et al.
Evaluation of anti-lipase activity and bioactive flavonoids in the Citri Reticulatae Pericarpium from different harvest time
Phytomedicine
(2018) - et al.
Discrimination and quantification of true biological signals in metabolomics analysis based on liquid chromatography-mass spectrometry
Mol. Plant
(2016) - et al.
Comparison of ELM, RF, and SVM on E-Nose and E-Tongue to trace the quality status of Mandarin (Citrus unshiu Marc.)
J. Food Eng.
(2015) - et al.
Differentiation of Chinese robusta coffees according to species, using a combined electronic nose and tongue, with the aid of chemometrics
Food Chem.
(2017) - et al.
The prediction of food additives in the fruit juice based on electronic nose with chemometrics
Food Chem.
(2017) - et al.
Characterization and classification of seven citrus herbs by liquid chromatography-quadrupole time-of-flight mass spectrometry and genetic algorithm optimized support vector machines
J. Chromatogr., A
(2014) - et al.
Use of the metabolomics approach to characterize Chinese medicinal material Huangqi
Mol. Plant
(2012) - et al.
Authentication of the family Polygonaceae in Chinese pharmacopoeia by DNA barcoding technique
J. Ethnopharmacol.
(2009)
Cited by (42)
Morphology and metabolite profiles of southern and northern Chrysanthemum in China
2023, Industrial Crops and ProductsRapid visual discrimination of Citri Reticulatae Pericarpium from different origins by fluorescent sensors based on aluminum ions and Ag nanoclusters
2023, Sensors and Actuators B: Chemical