Comparative Phytochemical Analyses and Metabolic Profiling of Different Phenotypes of Chinese Cabbage (Brassica Rapa ssp. Pekinensis)

Comparative metabolic profiling of different pakchoi cultivars reveals nutritional diversity via widely targeted metabolomics

Pakchoi (Brassica rapa ssp. chinensis) is cultivated for its high nutritional value; however, the nutritional diversity of different pakchoi cultivars is rarely investigated. Herein, we performed widely targeted metabolic profiling analyses of five popular pakchois. A total of 670 metabolites were detected, which could be divided into 13 categories. The accumulation patterns of main nutritional metabolites among the five pakchois were significantly different and complementary. Moreover, the pakchoi cultivar 'QYC' showed quite different metabolomic profiles compared with other pakchois. The Venn diagram showed that the 75 differential metabolites were shared among the comparison groups ('QYC' vs. 'MET'/ 'NBC'/ 'PPQ'/ 'XQC'), of which 52 metabolites were upregulated in 'QYC'. The phenolic acids had the largest variations between 'QYC' and the other pakchoi cultivars. These findings expand metabolomic information on different pakchoi cultivars and further provide new insights into the selection and breeding of excellent pakchoi cultivars.

Relationship between secondary metabolites and insect loads in cabbage with different leaf shapes and positions

INTRODUCTION

Secondary metabolites in plants play a crucial role in defense mechanisms against insects, pests, and pathogens. These metabolites exhibit varying distributions within and among plant parts under different biotic and abiotic conditions. Understanding the intricate relationships between secondary metabolites and insect populations can be helpful for elucidating plant defense mechanisms and enhancing agricultural managing efficiencies.

OBJECTIVE

To investigate the influence of the glucosinolate profile in the leaves of three cabbage (Brassica oleracea var. capitata L.) varieties on insect loads.

METHODS

Glucosinolate profiles across different leaf positions (such as bottom, middle, and center) and leaf shapes (such as curly and non-curly leaf) of three cabbage varieties (Xiagan [XGA], Xiaguang [XGU], and Qiangxia [QIX]) were analyzed by using high-performance liquid chromatography-mass spectrometry (LC-MS). The insect loads were recorded by visually inspecting the upper and lower layers of each target leaf.

RESULTS

Increasing concentrations of four glucosinolates, namely, glucoiberin, progoitrin, glucoraphanin, and glucobrassicin, were positively related to insect loads. While increasing concentrations of the other four glucosinolates, such as neoglucobrassicin, 4-methoxyglucobrassicin, sinigrin, and gluconapin, were negatively related to insect loads. Furthermore, both glucosinolate synthesis and insect loads were significantly higher in the curly-shaped and middle-position leaves than in the non-curly-shaped and bottom- and central-position leaves across the cabbage varieties.

CONCLUSION

Differences in glucosinolate profiles across leaf positions and shapes strongly influenced the insect loads of the three Brassica varieties. This link may further extend our understanding of the real defense power of a particular variety against herbivore damage.

Metabolite profiles and biological activities of different phenotypes of Chinese cabbage (Brassica rapa ssp. Pekinensis)

Chinese cabbage is considered as one of the most important cruciferous vegetables in South Korea because of its use in salads, kimchi, and Korean cuisine. Secondary metabolites were quantified in three Chinese cabbage varieties: 65065, interspecific hybrid of Chinese cabbage × red cabbage exhibiting a deep purple color; 85772, interspecific hybrid of Chinese cabbage × red mustard exhibiting a reddish-purple color; and a typical Chinese green cabbage cultivar "CR Carotene" (Brassica rapa subsp. pekinensis cv. CR Carotene). A total of 54 metabolites (2 amines, 2 sugar alcohols, 2 sugar phosphates, 6 carbohydrates, 18 amino acids, 13 organic acids, 8 phenolic compounds, and 3 carotenoids) were detected in 85772. Of them, 52 metabolites excluding β-carotene and 9-cis-β-carotene, and 51 metabolites excluding leucine, β-carotene, and 9-cis-β-carotene, were detected in 65065 and CR Carotene, respectively. Amino acid content was the highest in 85772, followed by 65065 and CR Carotene. The cultivars 65065 and 85772 contained high levels of phenolic compounds and total anthocyanins. Cyanidin-, pelargonidin-, and petunidin-type anthocyanins were detected in 65065 and 85772. However, delphinidin-type anthocyanins which typically impart a deep purple color were identified only in the deep purple phenotype 65065. Furthermore, the total anthocyanin content was the highest in 85772 (4.38 ± 0.65 mg g -1 dry weight) followed by that in 65065 (3.72 ± 0.52 mg g-1 dry weight). Antibacterial and antioxidant analyses revealed remarkable antibacterial effects of the purple cultivars against pathogens Vibrio parahaemolyticus (KCTC 2471), Bacillus cereus (KCTC 3624), Pseudomonas aeruginosa (KCCM 11803), Staphylococcus aureus (KCTC 3881), Chryseobacterium gleum (KCTC 2094), and Proteus mirabilis (KCTC 2510)] and methicillin-resistant pathogenic strains of Pseudomonas aeruginosa (0826, 0225, 0254, 1113, 1378, 1731, p01827, and p01828) compared with the antibacterial effects of CR Carotene. Furthermore, 65065 and 85772 exhibited significantly higher antioxidant activity than that of the CR Carotene. Therefore, the novel purple Chinese cabbages (65065 and 85772), derived from interspecific hybridization, are potentially favorable alternatives to the typical green Chinese cabbage, given the higher content of amino acids, phenolic compounds, anthocyanins, and carotenoids, as well as an increased ability to scavenge free radicals and inhibit pathogen growth.

Quantification and Diversity Analyses of Major Glucosinolates in Conserved Chinese Cabbage (Brassica rapa L. ssp. pekinensis) Germplasms

The genebank at the National Agrobiodiversity Center (RDA-Genebank, Jeonju, Republic of Korea), conserves approximately 8000 germplasms of Brassica spp., of which Chinese cabbage (Brassica rapa L. ssp. pekinensis) is one of the major crops actively used as food in Northeast Asia, including Korea, as the main ingredient for kimchi. Glucosinolates are a major class of compounds in Chinese cabbage that are responsible for their distinctive flavor, and RDA-Genebank is constantly building a related database (DB) to select suitable germplasms required by consumers and provide resources for breeding programs. In this study, ten glucosinolates were analyzed in sixty Chinese cabbage germplasms. Six aliphatic glucosinolates were the major components, accounting for 85.00% to 91.98% of total glucosinolates in each germplasm. Among them, gluconapin (333.26 to 23,501.58 μmol∙kg−1 DW) was highly represented, followed by glucobrassicanapin (545.60 to 10,344.70 μmol∙kg−1 DW) and progoitrin (155.28 to 8536.51 μmol∙kg−1 DW). In addition, we selected germplasms with a high content of each studied glucosinolate. To analyze the diversity and distribution of glucosinolates among the studied germplasms, Pearson’s correlation was performed, and the related results were interpreted through their biosynthetic pathways. The k-means clustering indicated four optimal clusters, which were confirmed through principal component analysis. Orthogonal projection to latent structure discriminant analysis (OPLS-DA) was also performed on the status (landrace and cultivar) and origin (Korea, China, Taiwan, and Japan) passport data of the germplasms, followed by the calculation of variable importance in the projection (VIP) values. These results are part of a continuous series of studies to analyze the glucosinolates of Brassica germplasms that are being conserved at RDA-Genebank. We aim to provide related results through a public platform accessible to everyone and thereby improve the distribution of Brassica germplasms.

Relative evaluation of in-vitro antioxidant potential and phenolic constituents by HPLC-DAD of Brassica vegetables extracted in different solvents

Cabbage, cauliflower and broccoli are well-known vegetables from the Brassica family having functional effects on human health. This study was carried out to identify different antioxidant properties and to quantify phenolic compounds by HPLC-DAD in different extracts (methanol, ethanol and water: acetic acid: acetone) of these vegetables. The results showed that, the methanolic dry extract of cabbage possessed the highest antioxidant activity (549 ± 7.30 μg/g) and IC₅₀ was 90 ± 2.52 μg/mL than others. Whereas the ethanolic dry extract of cauliflower had 348 ± 5.20 μg/g of flavonoid, which was the highest among all. The maximum levels of total tannin (414 ± 5.20 μg/g) and total phenolic content (465 ± 3.25 μg/g) was found in broccoli dry extract. Several polyphenolic compounds were identified in different extracts of the vegetables and they were Cauliflower (8) > Cabbage (10) > Broccoli (9) in total. Therefore, the use of total vegetables rather than extracts in the food industry would be more appropriate to get greater health benefit.

Jasmonate regulates plant resistance to Pectobacterium brasiliense by inducing indole glucosinolate biosynthesis

Pectobacterium brasiliense (P. brasiliense) is a necrotrophic bacterium that causes the soft rot disease in Brassica rapa. However, the mechanisms underlying plant immune responses against necrotrophic bacterial pathogens with a broad host range are still not well understood. Using a flg22-triggered seedling growth inhibition (SGI) assay with 455 Brassica rapa inbred lines, we selected six B. rapa flagellin-insensitive lines (Brfin2-7) and three B. rapa flagellin-sensitive lines (Brfs1-3). Brfin lines showed compromised flg22-induced immune responses (oxidative burst, mitogen-activated protein kinase (MAPK) activation, and seedling growth inhibition) compared to the control line R-o-18; nevertheless, they were resistant to P. brasiliense. To explain this, we analyzed the phytohormone content and found that most Brfin lines had higher P. brasiliense-induced jasmonic acid (JA) than Brfs lines. Moreover, MeJA pretreatment enhanced the resistance of B. rapa to P. brasiliense. To explain the correlation between the resistance of Brfin lines to P. brasiliense and activated JA signaling, we analyzed pathogen-induced glucosinolate (GS) content in B. rapa. Notably, in Brfin7, the neoglucobrassicin (NGBS) content among indole glucosinolates (IGS) was significantly higher than that in Brfs2 following P. brasiliense inoculation, and genes involved in IGSs biosynthesis were also highly expressed. Furthermore, almost all Brfin lines with high JA levels and resistance to P. brasiliense had higher P. brasiliense-induced NGBS levels than Brfs lines. Thus, our results show that activated JA-mediated signaling attenuates flg22-triggered immunity but enhances resistance to P. brasiliense by inducing indole glucosinolate biosynthesis in Brassica rapa. This study provides novel insights into the role of JA-mediated defense against necrotrophic bacterial pathogens within a broad host range.

Non-destructive measurement of total phenolic compounds in Arabidopsis under various stress conditions

Quantifying the phenolic compounds in plants is essential for maintaining the beneficial effects of plants on human health. Existing measurement methods are destructive and/or time consuming. To overcome these issues, research was conducted to develop a non-destructive and rapid measurement of phenolic compounds using hyperspectral imaging (HSI) and machine learning. In this study, the Arabidopsis was used since it is a model plant. They were grown in controlled and various stress conditions (LED lights and drought). Images were captured using HSI in the range of 400-1,000 nm (VIS/NIR) and 900-2,500 nm (SWIR). Initially, the plant region was segmented, and the spectra were extracted from the segmented region. These spectra were synchronized with plants' total phenolic content reference value, which was obtained from high-performance liquid chromatography (HPLC). The partial least square regression (PLSR) model was applied for total phenolic compound prediction. The best prediction values were achieved with SWIR spectra in comparison with VIS/NIR. Hence, SWIR spectra were further used. Spectral dimensionality reduction was performed based on discrete cosine transform (DCT) coefficients and the prediction was performed. The results were better than that of obtained with original spectra. The proposed model performance yielded R 2-values of 0.97 and 0.96 for calibration and validation, respectively. The lowest standard errors of predictions (SEP) were 0.05 and 0.07 mg/g. The proposed model out-performed different state-of-the-art methods. These demonstrate the efficiency of the model in quantifying the total phenolic compounds that are present in plants and opens a way to develop a rapid measurement system.

Recent Developments in the Applications of Fingerprinting Technology in the Food Field

In recent years, the concerns and demands by consumers for the high quality and safety for natural and processed plant-based and animal foods has increased significantly [...]

Metabolic Profiling of White and Green Radish Cultivars (Raphanus sativus)

Radish (Raphanus sativus) is a Brassica vegetable important for human nutrition and health because it is rich in diverse metabolites. Although previous studies have evaluated various metabolites, few studies have comprehensively profiled the primary and secondary metabolites in the roots of white- and green-colored radishes. Thus, this study aimed to provide information about the contents of metabolites beneficial for human health in both cultivars and to investigate the relationships between the various metabolites detected. In particular, among the 55 metabolites detected in radish roots, the levels of most amino acids and phenolic acids, vital to nutrition and health, were higher in green radish roots, while slightly higher levels of glucosinolates were observed in white radish roots—information which can be used to develop an effective strategy to promote vegetable consumption. Furthermore, glutamic acid, as a metabolic precursor of amino acids and chlorophylls, was positively correlated with other amino acids (cysteine, tryptophan, asparagine, alanine, serine, phenylalanine, valine, isoleucine, proline, leucine, beta-alanine, lysine, and GABA), and chlorophylls (chlorophyll a and chlorophyll b) detected in radish roots and phenylalanine, a metabolic precursor of phenolic compounds, were positively correlated with kaempferol, 4-hydroxybenzoate, and catechin. In addition, strong positive correlations between carbohydrates (sucrose and glucose) and phenolics were observed in this study, indicating that sucrose and glucose function as energy sources for phenolic compounds.

Functional Characterization of BrF3'H, Which Determines the Typical Flavonoid Profile of Purple Chinese Cabbage

Flavonols and anthocyanins are the two major classes of flavonoids in Brassica rapa. To elucidate the flavonoid biosynthetic pathway in Chinese cabbage (B. rapa L. subsp. pekinensis), we analyzed flavonoid contents in two varieties of Chinese cabbage with normal green (5546) and purple (8267) leaves. The 8267 variety accumulates significantly higher levels of quercetin, isorhamnetin, and cyanidin than the 5546 variety, indicating that 3'-dihydroxylated flavonoids are more prevalent in the purple than in the green variety. Gene expression analysis showed that the expression patterns of most phenylpropanoid pathway genes did not correspond to the flavonoid accumulation patterns in 5546 and 8267 varieties, except for BrPAL1.2 while most early and late flavonoid biosynthetic genes are highly expressed in 8267 variety. In particular, the flavanone 3'-hydroxylase BrF3'H (Bra009312) is expressed almost exclusively in 8267. We isolated the coding sequences of BrF3'H from the two varieties and found that both sequences encode identical amino acid sequences and are highly conserved with F3'H genes from other species. An in vitro enzymatic assay demonstrated that the recombinant BrF3'H protein catalyzes the 3'-hydroxylation of a wide range of 4'-hydroxylated flavonoid substrates. Kinetic analysis showed that kaempferol is the most preferred substrate and dihydrokaempferol (DHK) is the poorest substrate for recombinant BrF3'H among those tested. Transient expression of BrF3'H in Nicotiana benthamiana followed by infiltration of naringenin and DHK as substrates resulted in eriodictyol and quercetin production in the infiltrated leaves, demonstrating the functionality of BrF3'H in planta. As the first functional characterization of BrF3'H, our study provides insight into the molecular mechanism underlying purple coloration in Chinese cabbage.

Nondestructive Detection of Weight Loss Rate, Surface Color, Vitamin C Content, and Firmness in Mini-Chinese Cabbage with Nanopackaging by Fourier Transform-Near Infrared Spectroscopy

A nondestructive optical method is described for the quality assessment of mini-Chinese cabbage with nanopackaging during its storage, using Fourier transform-near infrared (FT-NIR) spectroscopy. The sample quality attributes measured included weight loss rate, surface color index, vitamin C content, and firmness. The level of freshness of the mini-Chinese cabbage during storage was divided into three categories. Partial least squares regression (PLSR) and the least squares support vector machine were applied to spectral datasets in order to develop prediction models for each quality attribute. For a comparative analysis of performance, the five preprocessing methods applied were standard normal variable (SNV), first derivative (lst), second derivative (2nd), multiplicative scattering correction (MSC), and auto scale. The SNV-PLSR model exhibited the best prediction performance for weight loss rate (R_p² = 0.96, RMSEP = 1.432%). The 1st-PLSR model showed the best prediction performance for L* value (R_p² = 0.89, RMSEP = 3.25 mg/100 g), but also the lowest accuracy for firmness (R_p² = 0.60, RMSEP = 2.453). The best classification model was able to predict freshness levels with 88.8% accuracy in mini-Chinese cabbage by supported vector classification (SVC). This study illustrates that the spectral profile obtained by FT-NIR spectroscopy could potentially be implemented for integral assessments of the internal and external quality attributes of mini-Chinese cabbage with nanopacking during storage.

Molecular Characterization, Expression Analysis of Carotenoid, Xanthophyll, Apocarotenoid Pathway Genes, and Carotenoid and Xanthophyll Accumulation in Chelidonium majus L

Chelidonium majus L. is a perennial herbaceous plant that has various medicinal properties. However, the genomic information about its carotenoid biosynthesis pathway (CBP), xanthophyll biosynthesis pathway (XBP), and apocarotenoid biosynthesis pathway (ABP) genes were limited. Thus, the CBP, XBP, and ABP genes of C. majus were identified and analyzed. Among the 15 carotenoid pathway genes identified, 11 full and 4 partial open reading frames were determined. Phylogenetic analysis of these gene sequences showed higher similarity with higher plants. Through 3D structural analysis and multiple alignments, several distinct conserved motifs were identified, including dinucleotide binding motif, carotene binding motif, and aspartate or glutamate residues. Quantitative RT-PCR showed that CBP, XBP, and ABP genes were expressed in a tissue-specific manner; the highest expression levels were achieved in flowers, followed by those in leaves, roots, and stems. The HPLC analysis of the different organs showed the presence of eight different carotenoids. The highest total carotenoid content was found in leaves, followed by that in flowers, stems, and roots. This study provides information on the molecular mechanisms involved in CBP, XBP, and ABP genes, which might help optimize the carotenoid production in C. majus. The results could also be a basis of further studies on the molecular genetics and functional analysis of CBP, XBP, and ABP genes.

Jares E, Jarvis D, Jassem E, Jenko K, Jiméneracruz Uscanga RD, Johnston SL, Joos G, Jošt M, Julge K, Jung K, Just J, Jutel M, Kaidashev I, Kalayci O, Kalyoncu F, Kapsali J, Kardas P, Karjalainen J, Kasala CA, Katotomichelakis M, Kavaliukaite L, Kazi BS, Keil T, Keith P, Khaitov M, Khaltaev N, Kim Y, Kirenga B, Kleine‐Tebbe J, Klimek L, Koffi N’Goran B, Kompoti E, Kopač P, Koppelman G, KorenJeverica A, Koskinen S, Košnik M, Kostov KV, Kowalski ML, Kralimarkova T, Kramer Vrščaj K, Kraxner H, Kreft S, Kritikos V, Kudlay D, Kuitunen M, Kull I, Kuna P, Kupczyk M, Kvedariene V, Kyriakakou M, Lalek N, Landi M, Lane S, Larenas‐Linnemann D, Lau S, Laune D, Lavrut J, Le L, Lenzenhuber M, Lessa M, Levin M, Li J, Lieberman P, Liotta G, Lipworth B, Liu X, Lobo R, Lodrup Carlsen KC, Lombardi C, Louis R, Loukidis S, Lourenço O, Luna Pech JA, Madjar B, Maggi E, Magnan A, Mahboub B, Mair A, Mais Y, Maitland van der Zee A, Makela M, Makris M, Malling H, Mandajieva M, Manning P, Manousakis M, Maragoudakis P, Marseglia G, Marshall G, Reza Masjedi M, Máspero JF, Matta Campos JJ, Maurer M, Mavale‐Manuel S, Meço C, Melén E, Melioli G, Melo‐Gomes E, Meltzer EO, Menditto E, Menzies‐Gow A, Merk H, Michel J, Micheli Y, Miculinic N, Midão L, Mihaltan F, Mikos N, Milanese M, Milenkovic B, Mitsias D, Moalla B, Moda G, Mogica Martínez MD, Mohammad Y, Moin M, Molimard M, Momas I, Mommers M, Monaco A, Montefort S, Mora D, Morais‐Almeida M, Mösges R, Mostafa B, Mullol J, Münter L, Muraro A, Murray R, Musarra A, Mustakov T, Naclerio R, Nadeau KC, Nadif R, Nakonechna A, Namazova‐Baranova L, Navarro‐Locsin G, Neffen H, Nekam K, Neou A, Nettis E, Neuberger D, Nicod L, Nicola S, Niederberger‐Leppin V, Niedoszytko M, Nieto A, Novellino E, Nunes E, Nyembue D, O’Hehir R, Odjakova C, Ohta K, Okamoto Y, Okubo K, Oliver B, Onorato GL, Pia Orru M, Ouédraogo S, Ouoba K, Paggiaro PL, Pagkalos A, Pajno G, Pala G, Palaniappan S, Pali‐Schöll I, Palkonen S, Palmer S, Panaitescu Bunu C, Panzner P, Papadopoulos NG, Papanikolaou V, Papi A, Paralchev B, Paraskevopoulos G, Park H, Passalacqua G, Patella V, Pavord I, Pawankar R, Pedersen S, Peleve S, Pellegino S, Pereira A, Pérez T, Perna A, Peroni D, Pfaar O, Pham‐Thi N, Pigearias B, Pin I, Piskou K, Pitsios C, Plavec D, Poethig D, Pohl W, Poplas Susic A, Popov TA, Portejoie F, Potter P, Poulsen L, Prados‐Torres A, Prarros F, Price D, Prokopakis E, Puggioni F, Puig‐Domenech E, Puy R, Rabe K, Raciborski F, Ramos J, Recto MT, Reda SM, Regateiro FS, Reider N, Reitsma S, Repka‐Ramirez S, Ridolo E, Rimmer J, Rivero Yeverino D, Angelo Rizzo J, Robalo‐Cordeiro C, Roberts G, Roche N, Rodríguez González M, Rodríguez Zagal E, Rolla G, Rolland C, Roller‐Wirnsberger R, Roman Rodriguez M, Romano A, Romantowski J, Rombaux P, Romualdez J, Rosado‐Pinto J, Rosario N, Rosenwasser L, Rossi O, Rottem M, Rouadi P, Rovina N, Rozman Sinur I, Ruiz M, Ruiz Segura LT, Ryan D, Sagara H, Sakai D, Sakurai D, Saleh W, Salimaki J, Samitas K, Samolinski B, Sánchez Coronel MG, Sanchez‐Borges M, Sanchez‐Lopez J, Sarafoleanu C, Sarquis Serpa F, Sastre‐Dominguez J, Savi E, Sawaf B, Scadding GK, Scheire S, Schmid‐Grendelmeier P, Schuhl JF, Schunemann H, Schvalbová M, Schwarze J, Scichilone N, Senna G, Sepúlveda C, Serrano E, Shields M, Shishkov V, Siafakas N, Simeonov A, FER Simons E, Carlos Sisul J, Sitkauskiene B, Skrindo I, SokličKošak T, Solé D, Sooronbaev T, Soto‐Martinez M, Soto‐Quiros M, Sousa Pinto B, Sova M, Soyka M, Specjalski K, Spranger O, Stamataki S, Stefanaki L, Stellato C, Stelmach R, Strandberg T, Stute P, Subramaniam A, Suppli Ulrik C, Sutherland M, Sylvestre S, Syrigou A, Taborda Barata L, Takovska N, Tan R, Tan F, Tan V, Ping Tang I, Taniguchi M, Tannert L, Tantilipikorn P, Tattersall J, Tesi F, Thijs C, Thomas M, To T, Todo‐Bom A, Togias A, Tomazic P, Tomic‐Spiric V, Toppila‐Salmi S, Toskala E, Triggiani M, Triller N, Triller K, Tsiligianni I, Uberti M, Ulmeanu R, Urbancic J, Urrutia Pereira M, Vachova M, Valdés F, Valenta R, Valentin Rostan M, Valero A, Valiulis A, Vallianatou M, Valovirta E, Van Eerd M, Van Ganse E, Hage M, Vandenplas O, Vasankari T, Vassileva D, Velasco Munoz C, Ventura MT, Vera‐Munoz C, Vicheva D, Vichyanond P, Vidgren P, Viegi G, Vogelmeier C, Von Hertzen L, Vontetsianos T, Vourdas D, Tran Thien Quan V, Wagenmann M, Walker S, Wallace D, Wang DY, Waserman S, Wickman M, Williams S, Williams D, Wilson N, Wong G, Woo K, Wright J, Wroczynski P, Xepapadaki P, Yakovliev P, Yamaguchi M, Yan K, Yeow Yap Y, Yawn B, Yiallouros P, Yorgancioglu A, Yoshihara S, Young I, Yusuf OB, Zaidi A, Zaitoun F, Zar H, Zedda M, Zernotti ME, Zhang L, Zhong N, Zidarn M, Zubrinich C. Cabbage and fermented vegetables: From death rate heterogeneity in countries to candidates for mitigation strategies of severe COVID-19

Large differences in COVID‐19 death rates exist between countries and between regions of the same country. Some very low death rate countries such as Eastern Asia, Central Europe, or the Balkans have a common feature of eating large quantities of fermented foods. Although biases exist when examining ecological studies, fermented vegetables or cabbage have been associated with low death rates in European countries. SARS‐CoV‐2 binds to its receptor, the angiotensin‐converting enzyme 2 (ACE2). As a result of SARS‐CoV‐2 binding, ACE2 downregulation enhances the angiotensin II receptor type 1 (AT₁R) axis associated with oxidative stress. This leads to insulin resistance as well as lung and endothelial damage, two severe outcomes of COVID‐19. The nuclear factor (erythroid‐derived 2)‐like 2 (Nrf2) is the most potent antioxidant in humans and can block in particular the AT₁R axis. Cabbage contains precursors of sulforaphane, the most active natural activator of Nrf2. Fermented vegetables contain many lactobacilli, which are also potent Nrf2 activators. Three examples are: kimchi in Korea, westernized foods, and the slum paradox. It is proposed that fermented cabbage is a proof‐of‐concept of dietary manipulations that may enhance Nrf2‐associated antioxidant effects, helpful in mitigating COVID‐19 severity.

Comparative Analysis of Secondary Metabolites and Metabolic Profiling between Diploid and Tetraploid Morus alba L

We profiled and quantified primary (amine, organic acids, tricarboxylic acid cycle intermediates, amino acids, and carbohydrates) and secondary metabolites (triterpenoids, phenolic acids, carotenoids, flavonoids, and anthocyanins) in the edible parts (leaves and fruits) of the diploid and tetraploid cultivar Morus alba L. 'Cheongil.' Through comprehensive metabolic profiling, the tetraploid mulberry cultivar was able to produce diverse metabolites supported by higher accumulation patterns of primary and secondary metabolites in their edible parts. In particular, the edible parts of the tetraploid showed higher accumulation patterns of most metabolites (amino acids, carbohydrates, carotenoids, and anthocyanins) than the diploid, which was supported by the results of principal component analyses (PCAs) showing a clear separation between the diploid and tetraploid groups. Additionally, this metabolome study comprehensively described the correlation between primary and secondary metabolites in the edible parts of diploid and tetraploid mulberry cultivars and provided information useful for plant breeding strategies to improve metabolite biosynthesis using polyploidy.

Comparison of Secondary Metabolite Contents and Metabolic Profiles of Six Lycoris Species

Quantitative HPLC analysis was performed on six different species of Lycoris herbs to investigate variation in phytochemical content, especially galantamine and phenylpropanoid-derived compounds. The contents of these compounds differed widely among the Lycoris species, with L. radiata and L. chinensis containing the lowest and highest galantamine contents, respectively. Specifically, the galantamine content of L. radiata was 62.5% higher than that of L. chinensis. Following L. radiata, L. sanguinea contained the next highest galantamine content, which was 59.1% higher than that of L. chinensis. Furthermore, a total of 12 phenylpropanoid-derived compounds were found in the different Lycoris species, where L. sanguinea, L. squamigera, and L. uydoensis had the largest accumulation of these compounds. The total phenylpropanoid content of L. sanguinea was the highest, while that of L. radiata was the lowest. Seven of the phenylpropanoid-derived compounds, rutin, quercetin, catechin, epicatechin gallate, chlorogenic acid, benzoic acid, and kaempferol, were dominant. L. sanguinea, L. uydoensis, and L. squamigera showed amounts of these seven compounds that were 5–6 times greater than those of the other species in the study. To the best of our knowledge, our results provide the most detailed phytochemical information on these species to date, which is valuable for future applications using these medicinal plants.

Metabolite Profiling and Comparative Analysis of Secondary Metabolites in Chinese Cabbage, Radish, and Hybrid xBrassicoraphanus

We profiled and quantified primary and secondary metabolites in the leaves and roots of xBrassicoraphanus (Baemuchae), Brassica campestris ssp. pekinensis (Chinese cabbage), and Raphanus sativus (radish). We obtained 72 metabolites from leaves and 68 metabolites from both leaves and roots of xBrassicoraphanus, Chinese cabbage, and radish. The metabolic profiles in this study revealed intermediate-level production of most metabolites from different parts of Baemuchae compared with that from different parts of Chinese cabbage and radishes. This was supported by the results of principal component analyses for the detected metabolites, which indicated that the Baemuchae group was located between the Chinese cabbage and radish groups. In particular, several amino acids (phenylalanine, tryptophan, and methionine) played the main role in phenylpropanoid and glucosinolate biosynthesis and were positively correlated with phenolic compounds, indolic glucosinolates, and aliphatic glucosinolates, respectively, in different parts. Furthermore, analysis of different species revealed the presence of 10 different glucosinolates, 10 phenolics, and 7 carotenoids, and their levels varied in the roots and leaves of the studied species. Among the leaves of the three species, Chinese cabbage had the highest total glucosinolate level, which was 3.14 times higher than the lowest level observed in radish. Baemuchae had the highest total phenolic compound level, which was 2.87 times higher than the lowest level found in Chinese cabbage, and radish had the highest carotenoid level, which was 12.41 times higher than the lowest one observed in Chinese cabbage. In the roots of Baemuchae, Chinese cabbage, and radish, glucosinolate levels did not vary significantly. Chinese cabbage contained the highest total phenolic compound level, which was 2.38 times higher than the lowest level found in radish, and the highest total carotenoid level, which was 2.49 times higher than the lowest level observed in Baemuchae. This metabolomic study provided chemical composition information that can be applied to future breeding strategies and comprehensively described the relationship among metabolites detected in the three plant species.

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

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.

Transcriptome Analysis and Metabolic Profiling of Green and Red Mizuna (Brassica rapa L. var. japonica)

Mizuna (Brassica rapa L. var. japonica), a member of the family Brassicaceae, is rich in various health-beneficial phytochemicals, such as glucosinolates, phenolics, and anthocyanins. However, few studies have been conducted on genes associated with metabolic traits in mizuna. Thus, this study provides a better insight into the metabolic differences between green and red mizuna via the integration of transcriptome and metabolome analyses. A mizuna RNAseq analysis dataset showed 257 differentially expressed unigenes (DEGs) with a false discovery rate (FDR) of <0.05. These DEGs included the biosynthesis genes of secondary metabolites, such as anthocyanins, glucosinolates, and phenolics. Particularly, the expression of aliphatic glucosinolate biosynthetic genes was higher in the green cultivar. In contrast, the expression of most genes related to indolic glucosinolates, phenylpropanoids, and flavonoids was higher in the red cultivar. Furthermore, the metabolic analysis showed that 14 glucosinolates, 12 anthocyanins, five phenolics, and two organic acids were detected in both cultivars. The anthocyanin levels were higher in red than in green mizuna, while the glucosinolate levels were higher in green than in red mizuna. Consistent with the results of phytochemical analyses, the transcriptome data revealed that the expression levels of the phenylpropanoid and flavonoid biosynthesis genes were significantly higher in red mizuna, while those of the glucosinolate biosynthetic genes were significantly upregulated in green mizuna. A total of 43 metabolites, such as amino acids, carbohydrates, tricarboxylic acid (TCA) cycle intermediates, organic acids, and amines, was identified and quantified in both cultivars using gas chromatography coupled with time-of-flight mass spectrometry (GC-TOFMS). Among the identified metabolites, sucrose was positively correlated with anthocyanins, as previously reported.

Metabolite Profiling and Chemometric Study for the Discrimination Analyses of Geographic Origin of Perilla (Perilla frutescens) and Sesame (Sesamum indicum) Seeds

Perilla and sesame are traditional sources of edible oils in Asian and African countries. In addition, perilla and sesame seeds are rich sources of health-promoting compounds, such as fatty acids, tocopherols, phytosterols and policosanols. Thus, developing a method to determine the geographic origin of these seeds is important for ensuring authenticity, safety and traceability and to prevent cheating. We aimed to develop a discriminatory predictive model for determining the geographic origin of perilla and sesame seeds using comprehensive metabolite profiling coupled with chemometrics. The orthogonal partial least squares-discriminant analysis models were well established with good validation values (Q² = 0.761 to 0.799). Perilla and sesame seed samples used in this study showed a clear separation between Korea and China as geographic origins in our predictive models. We found that glycolic acid could be a potential biomarker for perilla seeds and proline and glycine for sesame seeds. Our findings provide a comprehensive quality assessment of perilla and sesame seeds. We believe that our models can be used for regional authentication of perilla and sesame seeds cultivated in diverse geographic regions.

Discrimination of Adzuki Bean (Vigna angularis) Geographical Origin by Targeted and Non-Targeted Metabolite Profiling with Gas Chromatography Time-of-Flight Mass Spectrometry

As international food trade increases, consumers are becoming increasingly interested in food safety and authenticity, which are linked to geographical origin. Adzuki beans (Vigna angularis) are cultivated worldwide, but there are no tools for accurately discriminating their geographical origin. Thus, our study aims to develop a method for discriminating the geographical origin of adzuki beans through targeted and non-targeted metabolite profiling with gas chromatography time-of-flight mass spectrometry combined with multivariate analysis. Orthogonal partial least squares discriminant analysis showed clear discrimination between adzuki beans cultivated in Korea and China. Non-targeted metabolite profiling showed better separation than targeted profiling. Furthermore, citric acid and malic acid were the most notable metabolites for discriminating adzuki beans cultivated in Korea and China. The geographical discrimination method combining non-targeted metabolite profiling and pareto-scaling showed excellent predictability (Q2 = 0.812). Therefore, it is a suitable prediction tool for the discrimination of geographical origin and is expected to be applicable to the geographical authentication of adzuki beans.