Next Article in Journal
Characterization and Stress Response of the JmjC Domain-Containing Histone Demethylase Gene Family in the Allotetraploid Cotton Species Gossypium hirsutum
Next Article in Special Issue
Advancements in Low-Chill Blueberry Vaccinium corymbosum L. Tissue Culture Practices
Previous Article in Journal
Tomato Brown Rugose Fruit Virus: Seed Transmission Rate and Efficacy of Different Seed Disinfection Treatments
Previous Article in Special Issue
Breaking the Dormancy of Snake’s Head Fritillary (Fritillaria meleagris L.) In Vitro Bulbs—Part 2: Effect of GA3 Soaking and Chilling on Sugar Status in Sprouted Bulbs
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Metabolic Profiling of Primary Metabolites and Galantamine Biosynthesis in Wounded Lycoris radiata Callus

1
Department of Crop Science, Chungnam National University, 99 Daehak-Ro, Yuseong-gu, Daejeon 34134, Korea
2
Department of Smart Agriculture Systems, Chungnam National University, 99 Daehak-Ro, Yuseong-gu, Daejeon 34134, Korea
3
Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Yeonsugu, Incheon 22012, Korea
4
Department of Well-being Resources, Sunchon National University, Suncheon 57922, Korea
*
Authors to whom correspondence should be addressed.
Chang Ha Park, Ramaraj Sathasivam, and Bao Van Nguyen contributed equally to this work.
Plants 2020, 9(11), 1616; https://doi.org/10.3390/plants9111616
Submission received: 16 October 2020 / Revised: 16 November 2020 / Accepted: 18 November 2020 / Published: 20 November 2020
(This article belongs to the Special Issue Plant Tissue Culture)

Abstract

:
Plants are continuously exposed to abiotic and biotic factors that lead to wounding stress. Different plants exhibit diverse defense mechanisms through which various important metabolites are synthesized. Humans can exploit these mechanisms to improve the efficacy of existing drugs and to develop new ones. Most previous studies have focused on the effects of wounding stress on the different plant parts, such as leaves, stems, and roots. To date, however, no study has investigated the accumulation of primary and galantamine content following the exposure of a callus to wounding stress. Therefore, in the present study, we exposed Lycoris radiata calli to wounding stress and assessed the expression levels of several genes involved in metabolic pathways at various time points (0, 3, 6, 12, 24, 48, 72, and 96 h of exposure). Furthermore, we quantify the primary and galantamine content using gas chromatography–time-of-flight mass spectrometry and the high-performance liquid chromatography qRT-PCR analysis of eight galantamine pathway genes (LrPAL-2, LrPAL-3, LrC4H-2, LrC3H, LrTYDC2, LrN4OMT, LrNNR, and LrCYP96T) revealed that seven genes, except LrN4OMT, were significantly expressed following exposure to wounding stress. Galantamine contents of calli after 3, 6, 12, 24, 48, 72, and 96 h of exposure were respectively 2.5, 2.5, 3.5, 3.5, 5.0, 5.0, and 8.5 times higher than that after 0 h of exposure. Furthermore, a total of 48 hydrophilic metabolites were detected in the 0 h exposed callus and 96 h exposed callus using GC-TOFMS. In particular, a strong positive correlation between galantamine and initial precursors, such as phenylalanine and tyrosine, was observed.

1. Introduction

Alkaloids are a class of natural organic compounds that contain at least one nitrogen atom in their structure, typically insoluble in water and physiologically active. These compounds are mainly synthesized by various living organisms including bacteria, fungi, plants, and animals [1]. Under unfavorable conditions, such as biotic or abiotic stress, plants produce alkaloids. Owing to these properties, alkaloids are suitable candidates for drug discovery and development and have therefore garnered increasing attention of scientists [2]. Over recent years, various alkaloids were isolated and identified from members of the Amaryllidaceae and have been reported to exhibit a wide range of pharmaceutical and biological activities [3].
Lycoris radiata belongs to the subfamily Amaryllidoideae of Amaryllidaceae. It is native to China, Korea, and Nepal, but it was subsequently introduced to the United States and Japan, in addition to other regions of the world [4]. Extracts from the plant display biological activities, such as acetylcholinesterase (AChE) inhibitory, anticancer, anti-inflammatory, antimalarial, antimicrobial, and antihypertensive properties, as well as cytotoxicity and neuroprotective effects [5,6,7,8]. In previous studies, over 20 alkaloids with neuroprotective effects [5,6,9] were identified from Lycoris radiata. Among these, galantamine (GAL) is an important alkaloid, which serves as an AChE inhibitor and a drug for Alzheimer’s disease. GAL has been approved for clinical use in several countries [3,4]. However, owing to low GAL levels in natural sources and its growing value in chemotherapy, an increasing number of studies have focused on elucidating the key enzymes and genes involved in the GAL biosynthetic pathway and GAL production in plants [10].
Plant callus can attain artificial control to provide the optimal growth conditions for the differentiation and accumulation of various secondary metabolites. In addition, plant callus consists of entire genetic information of whole plants, they have the totipotency for the synthesis of various secondary metabolites [11,12]. Moreover, the growing of callus culture in flasks on shakers or in fermenters has the ability to convert to single-cell suspension cultures to produce desired commercially important secondary metabolites [13]. This technology is one of the most important methods for the biosynthesis of various secondary metabolites from the callus. In various medicinal plants, the callus suspension culture system has been recognized throughout the world but the wounded L. radiata callus and analysis of secondary metabolites have not yet been studied [14,15,16]. Previously, few studies have been carried out to analyze the secondary metabolite content in the bulb, leaf, and root of L. radiata [4]. However, it remains unclear whether these secondary metabolites are also present in L. radiata callus.
GAL is mainly synthesized in the leaf and bulbs of various plants such as Galanthus elwesii (0.045–0.082%), Galanthus nivalis (0.038–0.075%), Galanthus woronowii (0.040–0.078%), Narcissus pseudonarcissus (0.10–0.13%), Leucojum aestivum (0.13–0.14%), and Lycoris radiata (0.27–0.75 mg·g−1 dry weight (DW)) [4,17,18,19]. To date, however, the genes and enzymes involved in the biosynthesis of GAL in plants remain unclear compared to those in the biosynthesis of other secondary metabolites (carotenoids and phenylpropanoids). Phenylalanine and tyrosine are synthesized through the shikimate pathway, and phenylalanine is converted to trans-cinnamic acid (in a reaction catalyzed) by the enzyme phenylalanine ammonia-lyase (PAL) (Figure 1). Following this, the hydroxylation of trans-cinnamic acid into p-coumaric acid is catalyzed by the enzyme trans-cinnamate 4-hydroxylase (C4H) [20,21]. p-Coumaric acid is furtherly converted into two compounds namely 4-hydroxybenzaldehyde and caffeic acid, resulting in the production of 3,4-dihydroxybenzaldehyde [22]. In another branch of the pathway, tyrosine is catalyzed to tyramine by the tyrosine decarboxylase (TYDC) [23]. Through condensation and reduction, 3,4-dihydroxybenzaldehyde and tyramine converted to norbelladine by the enzyme noroxomaritidine/norcraugsodine reductase (NNR) [20]. However, the precise function of NNR remains unclear. Furthermore, through methylation, norbelladine is converted to the 4′-O-methylnorbelladine by norbelladine 4′-O-methyltransferase (N4OMT) [24]. Following this step, 4′-O-methylnorbelladine is converted to N-demethylnarwedine, which is subsequently converted to norgalantamine. Finally, norgalantamine is converted to GAL. However, the enzymes responsible for GAL synthesis have not been identified [4].
Various recent studies have reported that abiotic stress such as wounding, UV exposure, atmospheric changes, and exogenous phytohormone application, trigger the plant secondary metabolism and increase phenolic compounds accumulation [25,26,27,28]. Moreover, wounding stress causes a significant effect on the phenylpropanoid pathway, thereby increasing the accumulation of phenolic compounds in plants [28]. In addition, wounding stress induces the expression of MYB transcription factors and regulate the flavonoid pathway genes expression [25]. In carrot, wounding stress increased the production and accumulation of caffeoylquinic acids [29,30]. In a recent study, secondary metabolites in the mechanically wounded leaves and roots of Catharanthus roseus seedlings were analyzed [31]. However, metabolic profile of the C. roseus callus was not reported. Several studies have examined the analytical chemistry, chromosomal biology, molecular biology, morphology, palynology, pharmacology, physiology, and transcriptomics of Lycoris [3,4,10,32,33,34,35,36,37,38]. However, GAL pathway (GP) gene expression and GAL content in wounded Lycoris have not been well studied.
To this end, the present study evaluated the effects of wounding stress on the primary and secondary metabolism of Lycoris radiata callus based on GP gene expression and GAL accumulation. The results of this study provide comprehensive information on changes in the accumulation of GAL, which is of high commercial value, in Lycoris callus under wounding stress, and this information might be helpful for developing dietary supplements, pharmaceuticals, and functional foods.

2. Results

2.1. Effects of Wounding Stress on GP Gene Expression

The expression levels of eight GP genes (LrPAL-2, LrPAL-3, LrC4H-2, LrC3H, LrTYDC2, LrN4OMT, LrNNR, and LrCYP96T) in wounded Lycoris radiata calli were measured at various time points (0, 3, 6, 12, 24, 48, 72, and 96 h) following exposure using qRT-PCR. Of these, seven GP genes were significantly expressed at all the time points compared with the expression after 0 h of exposure (Figure 2). The expression levels of most GP genes were considerably increased with increasing exposure time. The expression level of LrPAL-2 and LrNNR were considerably increased until 72 h and then gradually decreased after 96 h of exposure to wounding stress. However, there was no significant difference in LrPAL-2 (24 h) and LrNNR (12 and 24 h) expression levels when compared to the control (0 h). The expression levels of LrPAL-3 and LrC3H were the highest until 6 h and then gradually decrease in all other exposure time. This showed that PAL-2 does not have significant interaction with the GAL pathway. Moreover, the expression levels of LrC4H-2 and LrTYDC2 gradually induced with an increase up to 48 h and then slowly decreased after 72 and 96 h of exposure. In addition, the expression level of LrCYP96T considerably increased until 12 h and then decrease at subsequent time points, there was no significant difference in the expression level between the 0 and 96 h of exposure. However, there were no significant differences in LrN4OMT expression level between 0 and 72 h and subsequent time points following exposure to wounding stress.

2.2. Effects of Wounding Stress on GAL Content

Exposure of Lycoris radiata calli to wounding stress induced a wide range of responses depending on the different exposure time. GAL content was significantly increased with increasing the exposure time. The highest GAL content was achieved at 96 h (0.17 mg·g−1 DW), followed by 72 and 48 h (0.10 mg·g−1 DW), 24 and 12 h (0.07 mg·g−1 DW), and 6 and 3 h (0.05 mg·g−1 DW) (Figure 3). The lowest GAL content was obtained after 0 h exposed callus (0.02 mg·g−1 DW) of exposure. Among the different times of exposure, the maximum fold was achieved after 96 h exposed callus (8.5-fold changes).

2.3. Metabolic Profiling

Calli exposed for 0 h that showed the lowest GAL content and calli exposed for 96 h that showed the highest GAL content were selected to investigate the effects of wounding stress on primary metabolites. Metabolic profiling using GC–TOFMS identified, 48 metabolites, including 12 organic acids, 22 amino acids, three sugar alcohols, seven carbohydrates, two carbohydrate derivatives, one amine, and 1 phenolic acid (Table S1). Further, after ninety-six-hour exposure to wounding stress, tyrosine, tryptophan, pyroglutamic acid, aspartic acid, valine, phenylalanine, leucine, lysine, glycine, and isoleucine contents significantly increased, while glutamine, glutamic acid, beta-alanine, methionine, cysteine, putrescine, alanine, and 4-aminobutyric acid contents decreased. Furthermore, the content of most carbohydrates, including glucose, galactose, fructose, mannose, arabinose, and glycerol, significantly increased, whereas those of sucrose and xylose decreased in 96 h of exposure. The content of ferulic acid, a well-known potent antioxidant, increased in calli exposed for 96 h.
Principal component analysis (PCA) was used to determine differences in 49 metabolites between calli exposed for 0 and 96 h. The two highest-ranking components explained 91.1% of total variation (PC1: 81.3%; PC2: 9.8%). In particular, PC1 distinguished the calli exposed for 96 h from those exposed for 0 h, and the metabolites that contributed to this separation were mainly carbohydrates such as arabinose, mannose, fructose, galactose, and glucose (eigenvector values > 0.15), and amino acids, such as glycine, isoleucine, lysine, leucine, phenylalanine, aspartic acid, valine, tryptophan, pyroglutamic acid, and tyrosine (eigenvector values > 0.13). Furthermore, the eigenvector values of the glutamate family amino acids (glutamine, glutamic acid, and 4-aminobutyric acid) were lower than −0.14. Remarkably, eigenvector values of GAL and ferulic acid were 0.15785 and 0.14653, respectively, which are greater than the values reported for secondary metabolites, indicating that these metabolites explained the abovementioned increases in calli exposed for 96 h compared with the values in calli exposed for 0 h (Figure 4).
GC-TOFMS data showed that the wounding stress increased contents of carbohydrates (arabinose, fructose, mannose, galactose, and glucose) and contents of amino acids (valine, leucine, isoleucine, glycine, aspartic acid, pyroglutamic acid, and phenylalanine). However, the levels of putrescine, glutamine, alanine, β-alanine, methionine, 4-aminobutyric acid, cysteine, glutamic acid, and asparagine decreased after wounding treatment. Furthermore, hierarchical cluster analysis (HCA) of Pearson’s correlation results obtained from data of 49 metabolites sets was used to investigate the associations among these 49 metabolites between calli exposed for 0 and 96 h exposed callus (Figure 5). HCA identified two major metabolite groups. One group had carbohydrates, such as arabinose, mannose, fructose, galactose, and glucose; amino acids such as glycine, isoleucine, lysine, leucine, phenylalanine, aspartic acid, valine, tyrosine, tryptophan, and pyroglutamic acid; GAL; ferulic acid; and organic acids. Glutamic acid and its derivatives, such as glutamine (r = 0.99877, p = 0.000002278) and 4-aminobutyric acid (r = 0.89758, p = 0.015198), were positively correlated. Similarly, amino acids of the erythrose 4-phosphate family (phenylalanine, tyrosine, and tryptophan) were positively correlated. Remarkably, GAL was strongly correlated with its precursors, phenylalanine (r = 0.99271, p = 0.000079595) and tyrosine (r = 0.86316, p = 0.026808), in that order. Carbohydrates function as energy sources for the production of secondary metabolites. In this study, the strong correlations were observed between GAL and carbohydrates, including glycerol (r = 0.97718, p = 0.00077507), inositol (r = 0.53438, p = 0.27473), glucose (r = 0.95686, p = 0.0027511), fructose (r = 0.98507, p = 0.00033272), galactose (r = 0.98412, p = 0.00037622), mannose (r = 0.99237, p = 0.000087), and arabinose (r = 0.99409, p = 0.0000522). Similarly, ferulic acid was strongly correlated with its precursor phenylalanine (r = 0.88154, p = 0.000079595) and carbohydrates (glycerol, inositol, glucose, fructose, galactose, mannose, and arabinose) with r > 0.8 and p < 0.05.

3. Discussion

qRT-PCR revealed that eight of the seven GP genes (LrPAL-2, LrPAL-3, LrC4H-2, LrC3H, LrTYDC2, LrNNR, and LrCYP96T) analyzed were differentially expressed due to wounding conditions. Several previous studies have reported that increased expression levels of all these genes enhanced GAL accumulation in Amaryllidaceae plants, such as Narcissus sp. aff. pseudonarcissus and Lycoris radiata [4,24]. In addition, significant expression of PAL, C4H, 4CL, CCoAOMT, CAD, and CCR increased phenolic compound accumulation in various plants, such as Arabidopsis thaliana [39,40], Daucus carota [41], Lactuca sativa L., var. Longifolia [42], and Populus trichocarpa [43]. In wounded Lycoris radiata calli, the GP genes (LrPAL-2, LrPAL-3, LrC4H-2, and LrC3H) were significantly expressed, suggesting that the PAL and C4H are the two essential enzymes in the phenylpropanoid pathway, which is associated with the production of numerous important phenolic compounds in plants, such as anthocyanin, flavonoid, lignin, phenolic acid, and suberin, etc. [44]. Moreover, increase in LrPAL-3 and LrC3H expression might be an intermediate step in the synthesis of various phenolic compounds in wounded Lycoris radiata calli. However, further studies are warranted in the future to confirm this hypothesis. Furthermore, an increase in LrNNR and LrCYP96T expression and GAL accumulation in wounded Lycoris radiata calli indicate that the late-expressing GP genes especially LrNNR and LrCYP96T play pivotal roles in GAL biosynthesis compared with the early-expressing GP genes. This trend is consistent with a previous report that the expression of late GP genes was increased in Lycoris radiata, which further increased GAL content [4].
Previous studies reported that Narcissus sp. bulbs showed the highest accumulation of GAL content due to the highest expression of NpN4OMT [24]. A similar result was obtained in bulbs of Lycoris radiata the expression level of LrNNR and LrN4OMT was highly expressed which leads to a significant accumulation of GAL content. In addition, they had reported that the expression of late expressed genes (NNR and N4OMT) is more important than the early expressed genes (PAL and C4H) in the GP [4]. This leads to the highest accumulation of GAL content in the Lycoris radiata bulb. However, in this study, the LrNNR is significantly increased with increasing the exposure time, whereas LrN4OMT genes were downregulated in all the exposure time. Moreover, in the wounded Lycoris radiata callus the GAL content (0.17 mg·g−1 DW) was lower when compared to the root (0.53 mg·g−1 DW), bulb (0.75 mg·g−1 DW), and leaf (0.27 mg·g−1 DW) of Lycoris radiata [4]. Taken together, these results it is suggested that NNR and N4OMT act together in the GP for significant accumulation of GAL content in plants. From this study result, it is shown that N4OMT is more important than the NNR for the highest accumulation of GAL content.
In the present study, we found that GAL accumulation was significantly increased with increasing exposure time. Some of the studies had reported that wounding stress significantly increases the contents of benzylisoquinoline alkaloids, shikimic acid, primary or secondary metabolites [31,45,46]. Specifically, integrated transcriptomic and metabolomic analysis of benzylisoquinoline alkaloids in wounded Papaver somniferum revealed significant increases in the narcotine and papaverine accumulation [45]. Moreover, wounded carrot tissues showed enhanced shikimic acid accumulation [46]. In addition, wounding stress stimulated the production of chlorogenic acid (CHA), 3,5-dicaffeoylquinic acid, and 4,5-dicafeoylquinic acid in carrot [46]. Similarly, mechanical wounding of Catharanthus roseus leaves and roots considerably increased primary and secondary metabolite contents in the wounded tissue [31].
Phenylalanine and tyrosine are the initial precursors of GAL and ferulic acid. The present study showed the strongest positive correlation between these amino acids as well as between these secondary metabolites, suggesting that the wounding stress increased endogenous phenylalanine and tyrosine levels, thus enhancing GAL and ferulic acid biosynthesis. These findings are consistent with previous reports that increase in endogenous phenylalanine level due to cessation of cell division likely enhanced the expression of PAL and chalcone synthase, ultimately increasing anthocyanin production in Vitis cells [47]. Exogenous phenylalanine application markedly affected the production of free phenolic acids (e.g., gallic acid, CHA, syringic acid, protocatechuic acid, and vanillic acid) in leaves of Pisum sativum through enhancing PAL activity [48]. Furthermore, exogenous application of phenylalanine and tyrosine increased the contents of total catechin, total proanthocyanidin, and total phenolics in Triticum aestivum L [49] as well as enhanced the accumulation of phenylethanoid glycosides in cell cultures of Cistanche deserticola [50]. Dietary intake of phenylalanine increased the levels of p-coumaric acid—a precursor of ferulic acid—in cell cultures of Larrea divaricata Cav. [51]. Unfortunately, there are no previous studies on the effects of wounding stress on GAL biosynthesis.
Carbohydrates function as energy sources for the production of secondary metabolites. This study showed a strong positive correlation between secondary metabolites (GAL and ferulic acid) and carbohydrates, including glycerol, inositol, glucose, fructose, galactose, mannose, and arabinose. These results are in agreement with previous studies reporting that the abundance of endogenous carbohydrates is likely to be correlated with the abundance of secondary metabolites. For example, Park et al. [52] reported that the large pools of carbohydrates (sucrose, raffinose, maltose, xylose, mannose, fructose, glucose, mannitol, myo-inositol, and glycerol) were correlated with large pools of phenolics and glucosinolates in Chinese cabbage. Similarly, the strong positive correlation between phenolic compounds and carbohydrates in flowers of Magnolia Denudata Desr. and Magnolia Liliiflora Desr. was observed [53].

4. Materials and Methods

4.1. Callus Induction

Lycoris radiata was grown in a greenhouse at the Department of Crop Science, Chungnam National University, Daejeon, Korea. Lycoris radiata bulbs were harvested and washed first with running tap water and then with 70% ethanol for 1 min. In a laminar airflow chamber, the bulb was soaked in 4% NaOCl for 12 min, washed 4–5 times with sterile deionized water, and dried with a sterile tissue paper. The meristems of the dried sterile bulbs were cut into sections measuring 0.5 cm × 0.5 cm, which were transferred to a Petri plate containing agar-solidified callus induction medium. The medium contained Murashige and Skoog salts and vitamins, 30 g·L−1 sucrose, 2 mg·L−1 2,4-D, 0.5 mg·L−1 TDZ, and 2 mL·L−1 plant preservative mixture and was solidified with 0.8% (w/v) phytagar. pH of the media was adjusted to 5.8 before adding agar, and the medium was then sterilized by autoclaving at 121 °C for 20 min. Cultures were maintained in a growth chamber in the dark at 25 ± 1 °C. For callus induction from the meristem, the explants were subcultured onto fresh callus induction medium every month for 6 months. After 6 months, compact calli were obtained.

4.2. Wounding Treatment

For wounding experiments, callus cultures were collected in sterile Petri plate, and the calli were wounded by repeatedly cutting into the cellular mass with a sterile scalpel blade. The 5 g wounded calli were placed on the callus induction medium and maintained in a growth chamber in the dark at 25 ± 1 °C. The calli induced on one medium is one replicate and three replicates were prepared for each time point. The wounded calli were harvested at different time points (0, 3, 6, 12, 24, 48, 72, and 96 h after wounding) and stored at −80 °C for RNA extraction and metabolic compound analysis. All experiment samples were prepared and analyzed in triplicates.

4.3. RNA Extraction, cDNA Synthesis, and qRT PCR

Total RNA was extracted from wounded Lycoris radiata calli by using Easy BLUE Total RNA Kit (iNtRON, Seongnam, Korea). The quality and quantity of total RNA were analyzed by using 1.2% denaturing agarose gel and NanoVue Plus spectrophotometer (GE Healthcare, Chicago, IL, USA), respectively. Total RNA (1 ng) from each sample was used for first-strand cDNA synthesize using the ReverTra Ace kit (Toyobo Co., Ltd., Osaka, Japan). Then, the first-strand cDNA templates were diluted 2-fold with nuclease-free water for qRT-PCR. All qRT-PCR runs were performed with BioFACT™ 2X Real-Time PCR Master Mix kit with SFCgreen® I (BioFACT, Daejeon, Korea) on a CFX96TM Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). The qRT-PCR conditions were as follows; 15 min at 95 °C (pre-denaturation), followed by 40 cycles of 15 s at 95 °C (denaturation), 30 s at 55 °C (annealing), and 20 s at 72 °C (extension). All the reaction was done in three biological replicates. To quantify the expression levels of GP genes in wounded Lycoris radiata calli, the housing keeping gene β-actin was used as the internal control. The primer used for qRT-PCR are shown in Table S2. Cq values of β-actin at different time points after exposure to wounding stress (Table S3).

4.4. High-Performance Liquid Chromatography (HPLC)

GAL extraction and analysis were done according to the protocol described in a previous study Park et al. [4] with slight modification. For extraction, fine powdered samples (100 mg) of wounded Lycoris radiata calli collected at different time points after exposure were used and add 2 mL of 0.1% trifluoroacetic acid was added. Then the samples were sonicated for 30 min, and stored overnight at 4 °C. The next day the samples were taken and centrifuged for 10 min at 13,000 rpm, and the supernatant was filter-sterilized through a 0.45 µm Acrodisc syringe filter (Pall Corp., Port Washington, NY, USA). GAL was analyzed using the NS-4000 HPLC system with a C18 column (250 mm × 4.6 mm, 5 μm) at 30 °C and detected with the NS-6000 auto-sampler and a UV–Vis detector (Futecs Co., Daejeon, Korea) at 285 nm. The mobile phase comprised 50mM ammonium formate aqueous buffer (solvent A) and acetonitrile (solvent B), and the flow rate was 1 mL·min−1. The following gradient program (38 min in total) was used: 2% solvent B, 0–15 min; 2–65% solvent B, 30–31 min, 65–100% solvent B, 31–35 min; 100% solvent B, 35–36 min, 100–2% solvent B; and 2% solvent B, 36–38 min. For each run, 20 µL of each sample was injected. GAL content was estimated according to the protocol described in a previous study Park et al. [4]. All the analyses were performed in triplicate.

4.5. Gas Chromatography–Time-of-Flight Mass Spectrometry (GC–TOFMS)

Hydrophilic metabolites were extracted according to the protocol described in a previous study Park et al. [4] with slight modification. In brief, wounded Lycoris radiata callus samples (10 mg) collected at different time points after exposure were used and 1 mL of water/CHCl3/MeOH (1:1:2.5, v/v/v) followed by 60 µL of 0.2 g L−1 adonitol (internal standard) was added. The extraction was performed in a compact thermomixer at a mixing frequency of 1200 rpm at 37 °C for 30 min. The polar phase of the samples was separated by centrifugation at 10,000 rpm for 5 min, 800 µL of the polar phase was transferred to a sterile Eppendorf tube, to which 400 µL of deionized water. Then this mixture was centrifuged at 10,000 rpm for 5 min to separate the methanol–water phase containing the polar metabolites, and it was evaporated with a centrifugal concentrator (CVE-2000, Daejeon, Korea) for 3 h. The residues were lyophilized for 15 h by using freeze dryer. The lyophilized materials were furtherly processed through two steps: methoxide derivatization and trimethylsilyl etherification. Methoxyamine hydrochloride/pyridine (20 g·L−1, 80 μL) was added to a vial and it was shaken for 90 min at 30 °C. After centrifugation, 80 μL of N-methyl-N-(trimethylsilyl) trifluoroacetamide was added to the vial, and the mixture was heated at 37 °C for 30 min. The resulting products were analyzed using Agilent 7890 GC system (Agilent, Atlanta, GA, USA). The operating condition, flow rate, and gradient program followed the protocol described previously by Park et al. [4]. The metabolites were identified using an in-house library and quantified based on the ratio of the peak areas of metabolites relative to the peak area of the internal standard.

4.6. Statistical Analysis

Data were analyzed by Duncan’s multiple range test, with a significance level of p < 0.05, using SAS 9.4 (SAS Institute, Inc., Cary, NC, USA). Duncan’s multiple range test, a method to make comparisons between groups of means, has been widely used in the plant science field since its procedure is simple and easy to perform it. Therefore, the test was considered appropriate in this study. Principal component analysis (PCA) and Pearson correlation analysis for 49 metabolites, detected in calli exposed for 0 h and calli exposed for 96 h using HPLC and GC-TOFMS, were carried out using the MetaboAnalyst 4.0 (http://www.metaboanalyst.ca/) with auto-scaling. Correlation matrix and hierarchical clustering were created using the MetaboAnalyst 4.0. The hierarchical clustering based on the Euclidean distance coefficient and Ward’s linkage method was carried out and the color key is based on Pearson correlation coefficients.

5. Conclusions

In conclusion, it was confirmed that the wounding increased GAL accumulation by enhancing its biosynthesis through the phenylpropanoid pathway in Lycoris radiata calli. The qRT-PCR analysis showed that seven out of eight upregulated genes were significantly upregulated in Lycoris radiata calli. In particular, wounding gradually upregulated the expression of LrPAL-2, LrPAL-3, LrC4H-2, LrC3H, LrTYDC2, LrNNR, and LrCYP96T in Lycoris radiata calli, thereby increasing GAL accumulation was gradually increased from 3 h to 96 h of exposure to wounding stress, and this might be due to the enzymatic reaction of the seven genes. In addition, GC-TOFMS result showed a strong positive correlation between galantamine and initial precursors, such as phenylalanine and tyrosine, and a strong correlation between galantamine and carbohydrates, as energy sources, was observed. Our results suggest that secondary metabolite contents in cell cultures of Lycoris radiata can be increased by exposing calli to wounding stress.

Supplementary Materials

The following are available online at https://www.mdpi.com/2223-7747/9/11/1616/s1, Table S1: Metabolite peak height differences using GS-TOFMS (ratio/g). Table S2. Primers used for qRT-PCR. Table S3: Cq values of β-actin at different time points after exposure to wounding stress.

Author Contributions

S.U.P. and J.K.K. designed the experiments and analyzed the data; C.H.P., R.S., B.V.N., S.-A.B., H.J.Y., Y.E.P., and H.H.K. performed the experiments and analyzed the data; C.H.P. and R.S. wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning (2016M3A9A5919548).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Moreira, R.; Pereira, D.M.; Valentao, P.; Andrade, P.B. Pyrrolizidine alkaloids: Chemistry, pharmacology, toxicology and food safety. Int. J. Mol. Sci. 2018, 19, 1668. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Peng, J.; Zheng, T.T.; Li, X.; Liang, Y.; Wang, L.J.; Huang, Y.C.; Xiao, H.T. Plant-derived alkaloids: The promising disease-modifying agents for inflammatory bowel disease. Front. Pharmacol. 2019, 10, 351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Tian, Y.Q.; Zhang, C.Y.; Guo, M.Q. Comparative analysis of Amaryllidaceae alkaloids from three Lycoris species. Molecules 2015, 20, 21854–21869. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Park, C.H.; Yeo, H.J.; Park, Y.E.; Baek, S.A.; Kim, J.K.; Park, S.U. Transcriptome analysis and metabolic profiling of Lycoris radiata. Biology 2019, 8, 63. [Google Scholar] [CrossRef] [Green Version]
  5. Hao, B.; Shen, S.F.; Zhao, Q.J. Cytotoxic and antimalarial Amaryllidaceae alkaloids from the bulbs of Lycoris radiata. Molecules 2013, 18, 2458–2468. [Google Scholar] [CrossRef] [Green Version]
  6. Li, X.; Yu, H.Y.; Wang, Z.Y.; Pi, H.F.; Zhang, P.; Ruan, H.L. Neuroprotective compounds from the bulbs of Lycoris radiata. Fitoterapia 2013, 88, 82–90. [Google Scholar] [CrossRef]
  7. Miyasaka, K.; Hiramatsu, Y. Pharmacological studies of lycorenine, an alkaloid of Lycoris radiata Herb.: II. Effects of blood pressure in rats and dogs and the mechanism of tachyphylaxis to the vasodepressor action of lycorenine in rats. JPN J. Pharmacol. 1980, 30, 655–664. [Google Scholar] [CrossRef]
  8. Son, M.; Kim, A.; Lee, J.; Park, C.H.; Heo, J.C.; Lee, H.J.; Lee, S.H. Ethanol extract of Lycoris radiata induces cell death in B16F10 melanoma via p38-mediated AP-1 activation. Oncol. Rep. 2010, 24, 473–478. [Google Scholar]
  9. Almanza, G.R.; Fernandez, J.M.; Wakori, E.W.T.; Viladomat, F.; Codina, C.; Bastida, J. Alkaloids from Narcissus cv Salome. Phytochemistry 1996, 43, 1375–1378. [Google Scholar] [CrossRef]
  10. Jiang, Y.M.; Xia, N.; Li, X.D.; Shen, W.B.; Liang, L.J.; Wang, C.Y.; Wang, R.; Peng, F.; Xia, B. Molecular cloning and characterization of a phenylalanine ammonia-lyase gene (LrPAL) from Lycoris radiata. Mol. Biol. Rep. 2011, 38, 1935–1940. [Google Scholar] [CrossRef] [PubMed]
  11. Efferth, T. Biotechnology applications of plant callus cultures. Engineering 2019, 5, 50–59. [Google Scholar] [CrossRef]
  12. Wilson, S.A.; Roberts, S.C. Recent advances towards development and commercialization of plant cell culture processes for the synthesis of biomolecules. Plant Biotechnol. J. 2012, 10, 249–268. [Google Scholar] [CrossRef] [PubMed]
  13. Fischer, R.; Emans, N.; Schuster, F.; Hellwig, S.; Drossard, J. Towards molecular farming in the future: Using plant-cell-suspension cultures as bioreactors. Biotechnol. Appl. Biochem. 1999, 30, 109–112. [Google Scholar] [PubMed]
  14. Dong, Y.S.; Duan, W.L.; He, H.X.; Su, P.; Zhang, M.; Song, G.H.; Fu, C.H.; Yu, L.J. Enhancing taxane biosynthesis in cell suspension culture of Taxus chinensis by overexpressing the neutral/alkaline invertase gene. Process Biochem. 2015, 50, 651–660. [Google Scholar] [CrossRef]
  15. Murthy, H.N.; Paek, K.Y. Panax ginseng adventitious root suspension culture: Protocol for biomass production and analysis of ginsenosides by high pressure liquid chromatography. Methods Mol. Biol. 2016, 1391, 125–139. [Google Scholar]
  16. Pan, Y.C.; Li, L.; Xiao, S.J.; Chen, Z.J.; Sarsaiya, S.; Zhang, S.B.; Yanni, S.G.; Liu, H.B.; Xu, D.L. Callus growth kinetics and accumulation of secondary metabolites of Bletilla striata Rchb. f. using a callus suspension culture. PLoS ONE 2020, 15, e0220084. [Google Scholar] [CrossRef] [Green Version]
  17. Berkov, S.; Georgieva, L.; Kondakova, V.; Atanassov, A.; Viladomat, F.; Bastida, J.; Codina, C. Plant sources of galanthamine: Phytochemical and biotechnological aspects. Biotechnol. Biotechnol. Equip. 2009, 23, 1170–1176. [Google Scholar] [CrossRef]
  18. Bulduk, I.; Karafakıoğlu, Y.S. Evaluation of galantamine, phenolics, flavonoids and antioxidant content of Galanthus species in Turkey. Int. J. Biochem. Res. Rev. 2019, 25, 1–12. [Google Scholar] [CrossRef]
  19. Klosi, R.; Mersinllari, M.; Gavani, E. Galantamine content in Leucojum aestivum populations grown in northwest Albania. Albanian J. Pharm. Sci. 2016, 3, 1–3. [Google Scholar]
  20. Kilgore, M.B.; Holland, C.K.; Jez, J.M.; Kutchan, T.M. Identification of a noroxomaritidine reductase with Amaryllidaceae alkaloid biosynthesis related activities. J. Biol. Chem. 2016, 291, 16740–16752. [Google Scholar] [CrossRef] [Green Version]
  21. Suhadolnik, R.J.; Fischer, A.G.; Zulalian, J. Biogenesis of the Amaryllidaceae alkaloids. II. Studies with whole plants, floral primordia and cell free extracts. Biochem. Biophys. Res. Commun. 1963, 11, 208–212. [Google Scholar] [CrossRef]
  22. Franke, R.; Humphreys, J.M.; Hemm, M.R.; Denault, J.W.; Ruegger, M.O.; Cusumano, J.C.; Chapple, C. The Arabidopsis REF8 gene encodes the 3-hydroxylase of phenylpropanoid metabolism. Plant J. 2002, 30, 33–45. [Google Scholar] [CrossRef]
  23. Lehmann, T.; Pollmann, S. Gene expression and characterization of a stress-induced tyrosine decarboxylase from Arabidopsis thaliana. FEBS Lett. 2009, 583, 1895–1900. [Google Scholar] [CrossRef]
  24. Kilgore, M.B.; Augustin, M.M.; Starks, C.M.; O’Neil-Johnson, M.; May, G.D.; Crow, J.A.; Kutchan, T.M. Cloning and characterization of a norbelladine 4′-O-methyltransferase involved in the biosynthesis of the Alzheimer’s drug galanthamine in Narcissus sp. aff. pseudonarcissus. PLoS ONE 2014, 9, e103223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Cisneros-Zevallos, L. The use of controlled postharvest abiotic stresses as a tool for enhancing the nutraceutical content and adding-value of fresh fruits and vegetables. J. Food Sci. 2003, 68, 1560–1565. [Google Scholar] [CrossRef]
  26. Schreiner, M.; Huyskens-Keil, S. Phytochemicals in fruit and vegetables: Health promotion and postharvest elicitors. Crit. Rev. Plant Sci. 2006, 25, 267–278. [Google Scholar] [CrossRef]
  27. Zhao, J.; Davis, L.C.; Verpoorte, R. Elicitor signal transduction leading to production of plant secondary metabolites. Biotechnol. Adv. 2005, 23, 283–333. [Google Scholar] [CrossRef] [PubMed]
  28. Jacobo-Velázquez, D.A.; Cisneros-Zevallos, L. An alternative use of horticultural crops: Stressed plants as biofactories of bioactive phenolic compounds. Agriculture 2012, 2, 259–271. [Google Scholar] [CrossRef] [Green Version]
  29. Heredia, J.B.; Cisneros-Zevallos, L. The effect of exogenous ethylene and methyl jasmonate on pal activity, phenolic profiles and antioxidant capacity of carrots (Daucus carota) under different wounding intensities. Postharvest Biol. Technol. 2009, 51, 242–249. [Google Scholar] [CrossRef]
  30. Jacobo-Velazquez, D.A.; Martinez-Hernandez, G.B.; Rodriguez, S.D.; Cao, C.M.; Cisneros-Zevallos, L. Plants as biofactories: Physiological role of reactive oxygen species on the accumulation of phenolic antioxidants in carrot tissue under wounding and hyperoxia stress. J. Agric. Food Chem. 2011, 59, 6583–6593. [Google Scholar] [CrossRef] [PubMed]
  31. Chen, Q.; Lu, X.Y.; Guo, X.R.; Liu, J.; Liu, Y.; Guo, Q.X.; Tang, Z.H. The specific responses to mechanical wound in leaves and roots of Catharanthus roseus seedlings by metabolomics. J. Plant Interact. 2018, 13, 450–460. [Google Scholar] [CrossRef] [Green Version]
  32. Corey-Bloom, J. Galantamine: A review of its use in Alzheimer’s disease and vascular dementia. Int. J. Clin. Pract. 2003, 57, 219–223. [Google Scholar] [PubMed]
  33. Jiang, Y.M.; Xia, B.; Liang, L.J.; Li, X.D.; Xu, S.; Peng, F.; Wang, R. Molecular and analysis of a phenylalanine ammonia-lyase gene (LrPAL2) from Lycoris radiata. Mol. Biol. Rep. 2013, 40, 2293–2300. [Google Scholar] [CrossRef] [PubMed]
  34. Marco-Contelles, J.; Carreiras, M.D.; Rodriguez, C.; Villarroya, M.; Garcia, A.G. Synthesis and pharmacology of galantamine. Chem. Rev. 2006, 106, 116–133. [Google Scholar] [CrossRef] [PubMed]
  35. Miyasaka, K.; Hiramatsu, Y.; Takezaki, T. Pharmacological studies of lycorenine, an alkaloid of Lycoris radiata Herb.: Vasodepressor mechanism in rats. JPN J. Pharmacol. 1979, 29, 605–622. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Zhou, S.; Luo, Q.; Li, J.; Wang, Y. Comparative anatomy of leaves in 12 species of Lycoris (Amaryllidaceae). Acta Bot. Yunnanica 2006, 28, 473–480. [Google Scholar]
  37. Zhou, S.B.; Liu, K.; Zhang, D.; Li, Q.F.; Zhu, G.P. Photosynthetic performance of Lycoris radiata var. radiata to shade treatments. Photosynthetica 2010, 48, 241–248. [Google Scholar] [CrossRef]
  38. Shoubiao, Z.; Benqi, Y.; Qi, L.; Weihua, Q.; Ying, W. Pollen morphology of Lycoris Herb. and its taxonomic significance. Acta Hortic. Sin. 2005, 32, 914. [Google Scholar]
  39. Lee, D.; Ellard, M.; Wanner, L.A.; Davis, K.R.; Douglas, C.J. The Arabidopsis thaliana 4-Coumarate-Coa Ligase (4CL) gene: Stress and developmentally regulated expression and nucleotide sequence of its cDNA. Plant Mol. Biol. 1995, 28, 871–884. [Google Scholar] [CrossRef]
  40. Soltani, B.M.; Ehlting, J.; Hamberger, B.; Douglas, C.J. Multiple cis-regulatory elements regulate distinct and complex patterns of developmental and wound-induced expression of Arabidopsis thaliana 4CL gene family members. Planta 2006, 224, 1226–1238. [Google Scholar] [CrossRef]
  41. Jacobo-Velazquez, D.A.; Gonzalez-Aguero, M.; Cisneros-Zevallos, L. Cross-talk between signaling pathways: The link between plant secondary metabolite production and wounding stress response. Sci. Rep. 2015, 5, 8608. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Campos, R.; Nonogaki, H.; Suslow, T.; Saltveit, M.E. Isolation and characterization of a wound inducible phenylalanine ammonia-lyase gene (LsPAL1) from Romaine lettuce leaves. Physiol. Plant. 2004, 121, 429–438. [Google Scholar] [CrossRef] [Green Version]
  43. Chen, C.Y.; Meyermans, H.; Burggraeve, B.; De Rycke, R.M.; Inoue, K.; De Vleesschauwer, V.; Steenackers, M.; Van Montagu, M.C.; Engler, G.J.; Boerjan, W.A. Cell-specific and conditional expression of caffeoyl-coenzyme A-3-O-methyltransferase in poplar. Plant Physiol. 2000, 123, 853–867. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ghasemzadeh, A.; Ghasemzadeh, N. Flavonoids and phenolic acids: Role and biochemical activity in plants and human. J. Med. Plants Res. 2011, 5, 6697–6703. [Google Scholar] [CrossRef]
  45. Mishra, S.; Triptahi, V.; Singh, S.; Phukan, U.J.; Gupta, M.M.; Shanker, K.; Shukla, R.K. Wound induced tanscriptional regulation of benzylisoquinoline pathway and characterization of wound inducible PsWRKY transcription factor from Papaver somniferum. PLoS ONE 2013, 8, e52784. [Google Scholar] [CrossRef]
  46. Becerra-Moreno, A.; Benavides, J.; Cisneros-Zevallos, L.; Jacobo-Velazquez, D.A. Plants as biofactories: Glyphosate-induced production of shikimic acid and phenolic antioxidants in wounded carrot tissue. J. Agric. Food Chem. 2012, 60, 11378–11386. [Google Scholar] [CrossRef]
  47. Sakuta, M.; Hirano, H.; Kakegawa, K.; Suda, J.; Hirose, M.; Joy, R.W.; Sugiyama, M.; Komamine, A. Regulatory mechanisms of biosynthesis of betacyanin and anthocyanin in relation to cell-division activity in suspension-cultures. Plant Cell Tissue. Org. 1994, 38, 167–169. [Google Scholar] [CrossRef]
  48. Singh, D.P.; Bahadur, A.; Sarma, B.K.; Maurya, S.; Singh, H.B.; Singh, U.P. Exogenous application of L-phenylalanine and ferulic acid enhance phenylalanine ammonia lyase activity and accumulation of phenolic acids in pea (Pisum sativum) to offer protection against Erysiphe pisi. Arch. Phytopathol. Plant Prot. 2010, 43, 1454–1462. [Google Scholar] [CrossRef]
  49. Feduraev, P.; Skrypnik, L.; Riabova, A.; Pungin, A.; Tokupova, E.; Maslennikov, P.; Chupakhina, G. Phenylalanine and tyrosine as exogenous precursors of wheat (Triticum aestivum L.) secondary metabolism through PAL-associated pathways. Plants 2020, 9, 476. [Google Scholar] [CrossRef] [Green Version]
  50. Hu, G.S.; Jia, J.M.; Doh Hoon, K. Effects of feeding tyrosine and phenylalanine on the accumulation of phenylethanoid glycosides to Cistanche deserticola cell suspension culture. Chin. J. Nat. Med. 2014, 12, 367–372. [Google Scholar] [CrossRef]
  51. Palacio, L.; Cantero, J.J.; Cusido, R.; Goleniowski, M. Phenolic compound production by Larrea divaricata Cav. plant cell cultures and effect of precursor feeding. Process Biochem. 2011, 46, 418–422. [Google Scholar] [CrossRef]
  52. Park, C.H.; Yeo, H.J.; Park, S.Y.; Kim, J.K.; Park, S.U. Comparative phytochemical analyses and metabolic profiling of different phenotypes of Chinese cabbage (Brassica rapa ssp. pekinensis). Foods 2019, 8, 587. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Park, C.H.; Park, S.Y.; Lee, S.Y.; Kim, J.K.; Park, S.U. Analysis of metabolites in white flowers of Magnolia denudata Desr. and violet flowers of Magnolia liliiflora Desr. Molecules 2018, 23, 1558. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Proposed galantamine biosynthetic pathway in Lycoris radiata. Enzymes involved in each conversion reaction are indicated in pink. Asterisks indicate the genes used in expression analysis. Galantamine content measured using high-performance liquid chromatography is indicated in red. PAL, phenylalanine ammonia-lyase; C4H, trans-cinnamate 4-monooxygenase; C3H, p-coumarate 3-hydroxylase; TYDC, tyrosine decarboxylase; NNR, noroxomaritidine/norcraugsodine reductase; N4OMT, norbelladine 4′-O-methyltransferase, CYP96T1, noroxomaritidin synthase 1.
Figure 1. Proposed galantamine biosynthetic pathway in Lycoris radiata. Enzymes involved in each conversion reaction are indicated in pink. Asterisks indicate the genes used in expression analysis. Galantamine content measured using high-performance liquid chromatography is indicated in red. PAL, phenylalanine ammonia-lyase; C4H, trans-cinnamate 4-monooxygenase; C3H, p-coumarate 3-hydroxylase; TYDC, tyrosine decarboxylase; NNR, noroxomaritidine/norcraugsodine reductase; N4OMT, norbelladine 4′-O-methyltransferase, CYP96T1, noroxomaritidin synthase 1.
Plants 09 01616 g001
Figure 2. Relative gene expression levels of galantamine pathway genes at different time points following exposure to wounding stress. The housing keeping gene β-actin was used as internal control. Results are given as the mean of triplicates ± SD. Different letters indicate significant differences at p < 0.05.
Figure 2. Relative gene expression levels of galantamine pathway genes at different time points following exposure to wounding stress. The housing keeping gene β-actin was used as internal control. Results are given as the mean of triplicates ± SD. Different letters indicate significant differences at p < 0.05.
Plants 09 01616 g002
Figure 3. Galantamine content at different time points after exposure to wounding stress. Different letters indicate a significant difference at p < 0.05.
Figure 3. Galantamine content at different time points after exposure to wounding stress. Different letters indicate a significant difference at p < 0.05.
Plants 09 01616 g003
Figure 4. Score plots and metabolite differences between calli exposed for 0 and 96 h derived from a PCA model of GC-TOFMS results.
Figure 4. Score plots and metabolite differences between calli exposed for 0 and 96 h derived from a PCA model of GC-TOFMS results.
Plants 09 01616 g004
Figure 5. Correlation matrix-based hierarchical cluster analysis of results obtained from data of 49 metabolites between calli exposed for 0 and 96 h. Each square shows the Pearson’s correlation coefficient for a pair of metabolites, and the value for the correlation coefficient is displayed by the color difference, as shown on the color scale. Hierarchical clusters are characterized by a cluster tree.
Figure 5. Correlation matrix-based hierarchical cluster analysis of results obtained from data of 49 metabolites between calli exposed for 0 and 96 h. Each square shows the Pearson’s correlation coefficient for a pair of metabolites, and the value for the correlation coefficient is displayed by the color difference, as shown on the color scale. Hierarchical clusters are characterized by a cluster tree.
Plants 09 01616 g005
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Park, C.H.; Sathasivam, R.; Nguyen, B.V.; Baek, S.-A.; Yeo, H.J.; Park, Y.E.; Kim, H.H.; Kim, J.K.; Park, S.U. Metabolic Profiling of Primary Metabolites and Galantamine Biosynthesis in Wounded Lycoris radiata Callus. Plants 2020, 9, 1616. https://doi.org/10.3390/plants9111616

AMA Style

Park CH, Sathasivam R, Nguyen BV, Baek S-A, Yeo HJ, Park YE, Kim HH, Kim JK, Park SU. Metabolic Profiling of Primary Metabolites and Galantamine Biosynthesis in Wounded Lycoris radiata Callus. Plants. 2020; 9(11):1616. https://doi.org/10.3390/plants9111616

Chicago/Turabian Style

Park, Chang Ha, Ramaraj Sathasivam, Bao Van Nguyen, Seung-A Baek, Hyeon Ji Yeo, Ye Eun Park, Haeng Hoon Kim, Jae Kwang Kim, and Sang Un Park. 2020. "Metabolic Profiling of Primary Metabolites and Galantamine Biosynthesis in Wounded Lycoris radiata Callus" Plants 9, no. 11: 1616. https://doi.org/10.3390/plants9111616

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop