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. 2025 Sep 22;14(18):3283. doi: 10.3390/foods14183283

Effect of Selenium Fortification on Growth Performance and Nutritional Compounds of Kale (Brassica oleracea L. Var. acephala DC.)

Xiu-Ying Zeng 1, Han Liao 1, Le-Cheng Shen 1, Qi Zou 2,3,*, Ting-Ting Lv 1, Mei Wang 1, Xiao-Yin Wang 2,3,*
Editors: Andrea Gomez-Zavaglia, Lucía Cassani
PMCID: PMC12469545  PMID: 41008255

Abstract

This study aims to investigate the effects of selenium (Se) fortification on growth performance and the Se content in kale using Se fertilizer, and it determines the influences of Se fortification on the metabolic profile of kale using quasi-targeted metabolomics. The results showed that Se fortification increased the plant height and leaf weight of kale, up-regulated the total Se content and decreased the chlorophyll and total phenolic contents in kale leaf. Se fortification elevated selenate (Se(IV)), selenite (Se(VI)), selenocystine (SeCys2), Se-methylselenocysteine (Se-MeSeCys) and selenomethionine (SeMet) contents, as well as total contents of Se in different forms in kale leaf. Se fortification also changed the metabolic profile of kale leaf, via six particular types of compounds (amino acid and its derivatives; organic acid and its derivatives; carbohydrates and its derivatives; lipids; flavonoids; organoheterocyclic compounds) and eight metabolic pathways (alanine, aspartate and glutamate metabolism; amino sugar and nucleotide sugar metabolism; sulfur metabolism; starch and sucrose metabolism; taurine and hypotaurine metabolism; glycolysis/gluconeogenesis; fructose and mannose metabolism; nitrogen metabolism). Moreover, 24 metabolic biomarkers were screened for kale leaf affected by Se fortification. Furthermore, correlations were observed between metabolic biomarkers and Se contents as well as speciation. These results indicate that Se fortification has a significant influence on the growth performance and nutritional compounds of kale, providing references for the future study on the production and bioactivity of Se-enriched kale.

Keywords: Se-enriched vegetable, selenium speciation, bioactive compounds, quasi-targeted metabolomics, correlation

1. Introduction

Kale (Brassica oleracea L. Var. acephala DC.), an important vegetable belonging to the Brassica family, is commonly consumed in Europe, Asia and America. In recent years, it has gained great popularity as a “superfood” and is listed in many “lists of the healthiest vegetables” [1]. This vegetable is rich in nutrients and bioactive compounds, such as amino acids, vitamins, minerals, dietary fiber and phytochemicals [2]. Kale extracts have been reported to possess numerous preventive and therapeutic properties, such as antimicrobial, anti-carcinogenic, antioxidant and hypoglycemic activities [3]. In view of this, kale is increasingly considered a source of nutraceuticals and undergoes processing to become value-added products (bread, juice, beverages, etc.) [4].

Kale plant is an annual crop, whose yield, size and nutritional variation greatly depend on its growing conditions. The effects of bio-slurry and inorganic N fertilizer [5], sulfur treatment [2], temperature stress [6,7], nitrogen and magnesium nutrients [8], iodoquinoline biofortification [9] and selenium (Se) biofortification [10,11] on the growth performance, nutrients and/or bioactive compounds of kale are some of the areas that have been investigated to date.

It is well known that Se is an essential trace element that plays a crucial role in maintaining animal and human health. Se deficiency is closely related to several diseases such as Kashan, Kashin–Beck and hypothyroidism [12], while its overdose causes intoxication events [13]. Approximately one billion people suffer from Se deficiency globally, as the soil of many countries lacks this element [14]. In fact, the organic compositions of Se species, especially selenoproteins and selenoamino acids, are responsible for the function of Se in human health. Since plants can generally convert inorganic Se into organic Se, the aforementioned Se biofortification has been widely applied to produce Se-enriched foods [12], thereby increasing Se intake in human diets and satisfying the recommended dietary allowance [14]. Like with other Brassica plants (turnip, cabbage, broccoli, nozawana, komatsuna, etc.), kale can also significantly absorb, accumulate and transform inorganic Se into organic Se [12]. Thus, kale has great potential to produce as Se-enriched diet.

Se biofortification has demonstrated the ability to enrich the Se content in kale. In a study by Tavan et al. [14], kale microgreens successfully accumulated up to 893.3 and 24 µg Se/kg of dry matter under a Se-rich soilless medium and with foliar application, at a 20 µM concentration. Leamsamrong et al. [10] found that the total Se contents of the air-dried matter in Se-enriched Chinese kale seedlings (433 ± 22 mg·Se/kg) were significantly higher than those of the regular Chinese kale seedlings. Maneetong et al. [12] discovered that total Se concentrations of kale with all Se-supplemented treatments were higher than those with the control treatment. Furthermore, the investigation conducted by Zagrodzki et al. [11] indicated that Se fortification stimulated the production of phenolic acids (sinapic, chlorogenic, isochlorogenic and caffeic acids) in the kale sprouts. Paśko et al. [15] observed that Se fortification affected the synthesis of sulfur and phenolic compounds in the kale sprouts. However, the influences of Se biofortification on comprehensive nutritional compounds in kale are still necessary to examine. Therefore, a comprehensive profiling method is required to elucidate the underlying metabolic changes.

Quasi-targeted metabolomics, based on LC-MS/MS technology, is a new type of metabolomics detection technique that combines the high-throughput advantages of untargeted metabolomics with the high accuracy and sensitivity advantages of targeted metabolomics. This tool has been widely used to identify chemical constituents and metabolic changes in plants [16,17,18,19]. For instance, Ren et al. [20] examined an integrated metabolome to reveal the differential metabolites in a vegetable cucumber fruit (Cucumis sativus L.) after grafting. Moreover, other researchers have used an untargeted metabolomics strategy to study the nutrient profiles of Chinese kale [21]. In this light, quasi-targeted metabolomics is suitable for understanding the effect of Se biofortification on nutritional compounds in kale.

Hence, in this study, the effects of Se fortification on growth performance and the Se content in kale were detected. Moreover, the influences of Se fortification on the metabolic profile of kale were systematically determined and analyzed using quasi-targeted metabolomics. Furthermore, correlations between the metabolic biomarkers, Se contents and speciation in kale were analyzed. This study is beneficial for people to better understand the impact of selenium fortification on the nutritional compounds in kale, and it can guide future research on the potential biological activities of Se-biofortified kale.

2. Materials and Methods

2.1. Materials and Chemicals

Kale seeds were purchased from Beijing Dongsheng Seed Industry Co., Ltd. (Beijing, China). Amino acid water-soluble fertilizer (containing Se ≥ 1000 mg/L) was bought from Suzhou Setek Co., Ltd. (Suzhou, China). A mixed standard solution of 28 metal elements was obtained from the National Center of Analysis and Testing for Nonferrous Metals and Electronic Materials, and standard solutions of Se(IV), Se(VI), SeCys2, Se-MeSeCys and SeMet were gained from the National Institute of Metrology, China. Gallic acid was purchased from LEMEITIAN MEDICINE (Chengdu, China), and Folin–Ciocalteu reagent was bought from Shanghai Macklin Biochemical Co., Ltd. (Shanghai, China). LC-MS-grade water was obtained from Merck KGaA (Darmstadt, Germany), and LC-MS-grade methanol, formic acid and acetonitrile were gained from Thermo Fisher Scientific (Waltham, MA, USA). All other chemicals that were used were of analytical grade and bought from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China).

2.2. Experimental Site, Growing Conditions and Cultivation

The experiment was conducted at the test base of the Ganzhou General Inspection and Testing Institute (25.8351° E, 114.8957° N) in Ganzhou City, Jiangxi province, China. Kale seeds were purchased, soaked, germinated and then sown in a tray using a seedling substrate to grow seedlings. One month later, kale seedlings with thick main stems and well-developed root systems, having 3–4 true leaves and showing consistent growth, were selected and transplanted into 100 L vegetable boxes (3 plants in each box). The Se contents of soil in all vegetable boxes were ≤0.4 mg/kg. Three months later, kale plants were divided into six groups (6 plants per group): the control group (treated with 0 mg/L Se); the 1 mg/L Se group; the 2 mg/L Se group; the 5 mg/L Se group; the 10 mg/L Se group; and the 20 mg/L Se group. The Se solutions with different concentrations that were used in this study were prepared using an amino acid water-soluble fertilizer (containing Se ≥ 1000 mg/L). The leaf surface of each plant and the corresponding soil were sprayed with 500 mL of prepared Se solutions for two months. After the experimental period, biometric measurements of kale were taken, and the 4th to 10th kale leaves were collected from top to bottom for the following determinations.

2.3. Determination of Biometric Measurements of Kale

The plant height of kale was determined by measuring the distance from the bottom to the top of the stem using a vernier caliper. In addition, all leaves of each kale plant were picked and then weighed using an electronic scale (ME104E, Mettler Toledo, Shanghai, China), and the weight was recorded as leaf weight.

2.4. Determination of Chlorophyll Contents in Kale Leaf

The chlorophyll content in kale leaf was detected according to the method recommended by the Standardization Administration of the People’s Republic of China (NY/T 3082-2017) [22]. To achieve this, 0.5 g of kale leaf was placed in a conical flask, and it was mixed with 100 mL of an absolute ethyl alcohol–acetone solution (v/v = 1:1). The conical flask was sealed with a sealing film, and then the mixture was kept standing in the dark at room temperature for 5 h. After filtration, the absorbances of the filtrates were measured at 645 nm and 663 nm, respectively. Finally, the chlorophyll content was calculated using the Arnon Equation (1):

w = (8.05 × A1 + 20.29 × A2) × v/(1000 × m) (1)

where w is the chlorophyll content; A1 and A2 are the absorbance of the sample at 645 nm and 663 nm, respectively; v is the sample volume; and m is the sample weight.

2.5. Determination of Total Phenolic Contents in Kale Leaf

The total phenolic content in kale leaf was colorimetrically determined using the Folin–Ciocalteu method, referring to previous study [23] with slight modifications. In the process, 0.2 g of kale leaves was weighed and adequately homogenized with 50% methanol (v/v). The homogenates were centrifuged to collect the supernatants, and 1 mL of the supernatant was mixed with 1 mL of the Folin–Ciocalteu reagent and 2 mL of a Na2CO3 solution (20 g/L). Then, the mixture was reacted in the dark at room temperature for 2 h. Finally, the absorbance was measured at 765 nm. In this determination, gallic acid was used as the standard.

2.6. Determination of Total Se Contents in Kale Leaf

The total Se content in kale leaf was measured according to the method recommended by the Standardization Administration of the People’s Republic of China (GB 5009.93-2017) [24]. To determine the content, 0.5 g of kale leaves was acid-digested using 10 mL of HNO3 solution and 2 mL of H2O2 solution in a microwave digestion system (MARS6, CEM Corp., Matthews, NC, USA). Then, 5 mL of HCl solution (6 mol/L) was added and heated until it was clear and colorless, with white smoke emerging. After being cooled, the mixture was transferred to a 10 mL volumetric flask, where 2.5 mL of potassium ferricyanide solution was added and the remaining volume was made up of water. Finally, the solution was detected on an inductively coupled plasma mass spectrometer (iCAP RQ, Thermo Fisher Scientific, Waltham, MA, USA) using a mixed standard solution of 28 metal elements (including Se).

2.7. Determination of Speciation of Se Compounds in Kale Leaf

The speciation of Se compounds in kale leaf was detected using the method recommended by the Standardization Administration of the People’s Republic of China (NY/T 3556-2020) [25]. First, 1.0 g of kale leaves was placed in a 50 mL centrifuge tube, 10 mL of Tris-HCl buffer solution (30 mmol/L, pH 7.5) was added and the mixture underwent ultrasonication for 30 min. After the addition of 25 mg of protease (≥3.5 U/mg), the mixture was enzymatically hydrolyzed on a thermostatic oscillator (37 °C, 300 r/min) for 20 h. Then, the reaction mixture was taken out and centrifuged (5000 r/min, 10 min) to collect the supernatant. Subsequently, 2 mL of the supernatant was transferred to a 10 mL volumetric flask, and the remaining volume was made up of the mobile phase (15 mmol/L ammonium acetate, 0.2 mmol/L tetrabutyl ammonium hydroxide and 5% methanol; pH 5.5). After mixing, the samples were filtered using a 0.22 μm filter membrane and subjected to Se speciation determination on a high-performance liquid chromatography-inductively coupled plasma mass spectrometer (LC300-NexlON5000G, PerkinElmer, Waltham, MA, USA), using standard solutions of Se(IV), Se(VI), SeCys2, Se-MeSeCys and SeMet.

2.8. Quasi-Targeted Metabolomics Analysis of Kale Leaf

Kale leaves from the control group and the 10 mg/L Se group (labeled as the selenate group) were collected for quasi-targeted metabolomics analysis (each group had at least four replicates), which was performed according to the methods outlined in the study by Wu et al. [26], under the support of Novogene Co., Ltd. (Beijing, China). The procedures are provided in more detail below.

2.8.1. Sample Preparation

Lyophilized kale leaves (100 mg) were placed in Eppendorf tubes, and 500 μL of a pre-cooled 80% methanol aqueous solution was added and extensively vortexed. The samples were kept standing in an ice bath for 5 min and then centrifuged (15,000× g, 20 min) at 4 °C to obtain the supernatant. Subsequently, some of the supernatant was diluted with LC-MS-grade water to a final concentration containing 53% methanol. The diluents underwent centrifugation (15,000× g, 20 min, 4 °C) to acquire supernatants and were then subjected to HPLC-MS/MS analysis.

2.8.2. HPLC-MS/MS Analysis

HPLC-MS/MS analysis was performed using an ExionLCTM AD system (SCIEX) coupled with a QTRAP@ 6500+ mass spectrometer (SCIEX) from Novogene Co., Ltd. (Beijing, China). Samples were eluted on an Xselect HSS T3 (2.1 × 150 mm, 2.5 μm) column (Waters, Milford, CT, USA) using eluent A (0.1% formic acid–water) and eluent B (0.1% formic acid–acetonitrile) at a flow rate of 0.4 mL/min, under the following gradient elution procedures: 0 min, 98% A and 2% B; 2 min, 98% A and 2% B; 15 min, 0% A and 100% B; 17 min, 0% A and 100% B; 17.1 min, 98% A and 2% B; and 20 min, 98% A and 2% B. Furthermore, the QTRAP@ 6500+ mass spectrometer was operated in a positive/negative polarity mode under the following conditions: curtain gas, 35 psi; collision gas, medium; ionspray voltage, 5500 V/−4500 V; temperature, 550 °C; ion source gas, 1:60; and ion source gas 2:60.

2.8.3. Metabolite Identification and Quantification

The samples were detected using multiple reaction monitoring based on the Novogene database. Q1, Q3, RT (retention time), DP (declustering potential) and CE (collision energy) variables were used for the identification of metabolites, while Q3 alone was used for the quantification of metabolites. The data files acquired via HPLC-MS/MS analysis were opened using SCIEX OSV1.4 software, and then the integration and correction of the peaks were performed by this software. The main parameters for peak screening were as follows: minimum peak height, 500; signal/noise ratio, 5; and Gaussian smooth width, 1. The area of each peak represents the relative content of the corresponding metabolite.

2.8.4. Data Analysis

The identified metabolites were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG, https://www.genome.jp/kegg/pathway.html; accessed on 5 May 2024), Human Metabolome Database (HMDB, https://hmdb.ca/metabolites; accessed on 5 May 2024) and Lipidmaps (http://www.lipidmaps.org/; accessed on 5 May 2024) databases. Multivariate statistical analysis was conducted using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) on metaX 1.4.16 software, and univariate analysis was performed using Student’s t-test. The metabolites with variable importance in the projection (VIP) > 1, p-value < 0.05 and fold change ≥ 2 or fold change ≤ 0.5 were considered to be differential metabolites. Meanwhile, volcano plots drawn by ggplot2 in the R project were used to filter metabolites of interest, which were based on the VIP, Log2 (fold change) and −log10 (p-value) values. Moreover, KEGG (http://www.kegg.jp/; accessed on 5 May 2024) pathway analysis and KEGG enrichment analysis were carried out based on previously screened differential metabolites.

2.9. Correlation Analyses Between Metabolic Biomarkers, Se Contents and Se Speciation

Correlation analyses between metabolic biomarkers, Se contents and Se speciation were carried out by Pearson analysis in Origin 2022 software (OriginLab Corporation, Northampton, MA, USA), using the “Correlation Plot” package. The corresponding correlation heatmaps were processed and exported.

2.10. Statistical Analysis

All data are expressed as mean ± standard error. Differences between all experimental groups were examined by a one-way analysis of variance (ANOVA) combined with Tukey’s analysis, using SPSS 23.0 software (Chicago, IL, USA). In addition, a statistical analysis of the data from quasi-targeted metabolomics was performed using Student’s t-test. All results with p-values < 0.05 were considered statistically significant.

3. Results and Discussion

3.1. Effect of Se Fortification on the Growth Performance of Kale

Se fortification has been demonstrated to affect the growth performance of kale microgreens [14] and kale seedlings [12]. In Figure 1A, the plant height of kale in the control group was 20.39 ± 1.98 cm, while that in the Se treatment groups ranged from 31.50 ± 3.82 cm to 46.50 ± 2.29 cm. Compared with the control group, the plant height of kale was significantly increased in the Se treatment groups. No remarkable difference was seen in the plant height of kale between the 1, 2 and 5 mg/L Se groups, between the 1 and 10 mg/L Se groups and between the 10 and 20 mg/L Se groups. However, the plant height of kale in the 20 mg/L Se group was clearly higher than that in the 1, 2 and 5 mg/L Se groups. Meanwhile, in comparison with the 2 and 5 mg/L Se groups, the plant height of kale in the 10 mg/L Se group was dramatically higher. Similarly, the combined application of bio-slurry and inorganic nitrogen has been reported to markedly increase the plant height of kale [5]. As shown in Figure 1B, only the 20 mg/L Se treatment notably enhanced the leaf weight of kale (0.30 ± 0.05 g) compared to the control group (0.10 ± 0.03 g). However, compared with the control group, 1, 2, 5 and 10 mg/L Se treatments did not significantly influence the leaf weight of kale. Similarly, Se [12] and sulfur [2] supplementations elevated the weights of kale leaf and kale seedlings, respectively.

Figure 1.

Figure 1

Effect of Se fortification on plant height (A) and leaf weight (B) of kale (n = 3). Different letters represent significant differences (p < 0.05) from each other.

3.2. Effect of Se Fortification on Chlorophyll, Total Phenolic and Total Se Contents in Kale Leaf

The development and expansion of leaf were associated with an increase in chlorophyll content [27]. In Figure 2A, Se treatments (1, 2, 5, 10 and 20 mg/L) significantly decreased the chlorophyll content in kale leaf compared to the control group. Meanwhile, notable differences were observed among the 1, 2, 5, 10 and/or 20 mg/L Se groups, except between the 10 and 20 mg/L Se groups. In previous studies, no significant influence of Se on the accumulation of chlorophyll in kale microgreens was observed [28], whereas Se fortification notably added to the chlorophyll content in cauliflower [29]. Our observation revealed that Se treatments at 1, 2, 5, 10 and 20 mg/L could inhibit the biosynthesis of chlorophyll in kale leaf. This might be explained by the different species. Moreover, the results indicated that Se fortification might down-regulate the nutritional value of chlorophyll in kale leaf, which might in turn affect the metabolic profiles of other nutrients.

Figure 2.

Figure 2

Effect of Se fortification on chlorophyll (A), total phenolic (B) and total Se contents (C) of kale leaf (n = 3). Different letters represent significant differences (p < 0.05) from each other.

The accumulation of polyphenols in plants is usually associated with stress conditions during the growth cycle [30]. Moreover, phenolic compounds are important specialized metabolites that contribute to the health-promoting properties of kale [31]. In Figure 2B, Se treatments (1, 2, 5, 10 and 20 mg/L) also significantly decreased the total phenolic content in kale leaf, as compared with the control group. Similarly, Ortega-Hernández et al. [32] found that Se treatments markedly decreased the phenolic accumulation in kale sprouts. It might be speculated that Se treatments caused stress alterations to kale, which should be further confirmed as there were different findings in previous studies concerning other cultivars of kale or other plants. For example, in an investigation conducted by Viltres-Portales et al. [28], the total polyphenolic compound content of kale microgreens is not affected by Se treatment. And Se fortification has been demonstrated to significantly increase the concentration of some phenolic acids, especially chlorogenic and protocatechuic acids in kale sprouts [15]. At the same time, Se fortification notably elevated the total polyphenolic content in cauliflower [29]. Furthermore, compared with the 1 mg/L Se group, the total phenolic contents in kale leaf were observably increased in other Se treatment groups. Similarly, Paweł et al. [11] found that Se fortification stimulated the production of phenolic acids in kale sprouts, depending on the Se dose. Based on the above findings, it is necessary to determine the comprehensive changes in nutritional compounds of kale using metabolomics analysis.

One of the simplest and most robust techniques to increase the Se content in plants is by growing plants in high-Se soil and applying Se fertilizers [33]. As illustrated in Figure 2C, as compared to the control group, 5, 10 and 20 mg/L Se treatments notably up-regulated the total Se contents in kale leaf. Moreover, Se treatments significantly increased the total Se contents of kale leaf in a dose-dependent manner, in the Se concentration range of 2–20 mg/L. This was consistent with the previous findings that Se biofortification was effective in enriching the Se content in kale microgreens [14], seedlings [10,12] and sprouts [11,15].

3.3. Effect of Se Fortification on Speciation of Se Compounds in Kale Leaf

The speciation of Se in plant tissue is important for understanding the efficiency of Se absorption for animals and humans [34]. Both inorganic Se compounds (i.e., Se(IV) and Se(VI)) and organic Se compounds (i.e., SeCys2, Se-MeSeCys and SeMet) are frequently found in plants [35]. As shown in Figure 3A,E, the Se(IV) and SeMet contents in kale leaf were significantly increased in the 10 and 20 mg/L Se groups compared to those in the control group. In Figure 3C,F, Se fortifications (1–20 mg/L) notably elevated the SeCys2 content and total contents of Se in different forms in kale leaf.

Figure 3.

Figure 3

Effect of Se fortification on Se speciation in kale leaf (n = 3). (A) Se(IV) content; (B) Se(VI) content; (C) SeCys2 content; (D) Se-MeSeCys content; (E) SeMet content; (F) total contents of Se in different forms. Different letters represent significant differences (p < 0.05) from each other.

In Figure 3B, compared with the control group, the Se(VI) content in kale leaf was clearly enhanced in the 2, 5, 10 and 20 mg/L Se groups. In Figure 3D, the Se-MeSeCys content in kale leaf was dramatically increased in the 5, 10 and 20 mg/L Se groups compared to that in the control group. These results indicate that Se fortification added inorganic and organic Se compounds to kale leaf. To the best of our knowledge, the median lethal doses of inorganic Se compounds (Se(IV) and Se(VI)) were 7 mg/kg·bw and ~13 mg/kg·bw, respectively. However, organic Se species can have greater bioactivities with less toxicity compared to inorganics species [33]. As a result, the bioactivities of kale leaf tend to be enriched by Se fortification. Furthermore, Figure 3 displays that the contents of organic Se compounds in Se-fortified kale are higher than those of inorganic Se compounds. From this perspective, Se fortification is desirable for kale as long as it is consumed within a safe dosage.

3.4. Effect of Se Fortification on Bioactive Compounds in Kale Leaf

There are few reports on the effect of selenium supplementation on the concentration of bioactive compounds present in kale plants [36]. Thus, quasi-targeted metabolomics analysis was performed to ascertain the effect of Se fortification on bioactive compounds in kale leaf. The representative total ion chromatograms of kale samples from the control and selenate groups in positive ion (ESI+) and negative ion (ESI−) modes can be seen in the Supplementary Materials (Figures S1 and S2). In the PCA score plot (Figure 4A), samples of kale leaf were clearly separated between the control group and the selenate group, suggesting that Se fortification changed the metabolic profile of kale leaf. As shown in Figure 4B, a total of 176 differential metabolites (85 up-regulated and 91 down-regulated) were identified. Among them, 113 and 63 differential metabolites were detected in positive ion (ESI+) and negative ion (ESI−) modes, respectively. The differential metabolites can be mainly classified into six types of compounds, including amino acid and its derivatives (Table 1); organic acid and its derivatives (Table 2); carbohydrates and its derivatives (Table 3); lipids (Table 4); flavonoids (Table 5); and organoheterocyclics (Table 6).

Figure 4.

Figure 4

Effect of Se fortification on metabolic profile of kale leaf. (A) PCA score plot; (B) volcano plots of differential metabolites; (C) top 20 enriched KEGG pathways of differential metabolites.

Table 1.

Significantly differential metabolites belonging to amino acid and its derivatives in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 0.760 Trimethyllysine C9H21N2O2 189.275 2.96414 0.006252 Up
2 0.840 2-Amino-2-deoxy-D-gluconate C6H13NO6 195.171 1.49011 0.016303 Up
3 0.840 Homocysteine C4H9NO2S 135.185 1.41606 0.033335 Up
4 0.860 D-Threonine C4H9NO3 119.119 0.69360 0.048622 Down
5 0.880 N-Hydroxyl-tryptamine C10H12N2O 176.215 1.64435 0.045438 Up
6 0.886 L-Glutamic acid C5H9NO4 147.130 0.64700 0.025971 Down
7 0.960 N-Acetyl-L-valine C7H13NO3 159.183 1.58498 0.006555 Up
8 1.000 D-Proline betaine C7H13NO2 143.180 1.30347 0.022577 Up
9 1.008 Stachydrine C7H13NO2 143.180 1.82899 0.008002 Up
10 1.040 S-Methyl-L-cysteine C4H9NO2S 135.185 1.28090 1.70E-05 Up
11 1.040 N alpha-Acetyl-L-arginine C8H16N4O3 216.238 0.69416 0.024535 Down
12 1.830 Homocysteic acid C4H9NO5S 183.180 0.79828 0.035047 Down
13 1.840 L-Methionine sulfone C5H11NO4S 181.210 0.77200 0.010351 Down
14 1.840 N-Acetyl-Dl-glutamic acid C7H11NO5 189.166 1.39598 0.019346 Up
15 1.860 D-Homocysteine C4H9NO2S 135.185 0.73808 0.011723 Down
16 2.270 DL-m-Tyrosine C9H11NO3 181.190 0.69750 0.005192 Down
17 3.780 Kynurenine C10H12N2O3 208.214 0.23397 0.027744 Down
18 8.680 Santacruzamate A C15H22N2O3 278.350 0.26958 0.002170 Down
19 18.290 N-Acetyltryptamine C12H14N2O 202.252 1.24839 0.049374 Up
ESI− mode
1 0.843 L-Asparagine C4H8N2O3 132.120 1.92649 0.030460 Up
2 0.850 Aspartate C4H7NO4 133.103 1.46312 0.014558 Up
3 0.850 Ala-Gln C8H15N3O4 217.220 2.42031 0.044904 Up
4 0.868 L-Glutamine C5H10N2O3 146.140 1.59856 0.045253 Up
5 1.031 Ureidosuccinic acid C5H8N2O5 176.130 0.35666 0.037044 Down
6 1.056 O-Acetylserine C5H9NO4 147.130 0.55573 0.020191 Down
7 1.110 Allysine C6H11NO3 145.074 1.65456 0.017013 Up
8 1.900 L-Homoserine C4H9NO3 119.119 0.73223 0.035539 Down
9 2.150 N-Acetylalanine C5H9NO3 131.130 0.60878 0.029064 Down
10 4.090 Phenprobamate C10H13NO2 179.216 0.74104 0.025886 Down
11 5.410 L-Argininosuccinate C10H18N4O6 290.273 0.41486 0.003546 Down
12 6.070 3-(2-Naphthyl)-L-alanine C13H13NO2 215.095 0.26935 0.008577 Down
13 6.220 3-(2-Naphthyl)-D-alanine C13H13NO2 215.248 0.76105 0.021510 Down

Table 2.

Significantly differential metabolites belonging to organic acid and its derivatives in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 0.980 N-Acetyl-L-carnosine C11H16N4O4 268.270 1.39197 0.008014 Up
2 1.490 Maleamic acid C4H5NO3 115.090 2.00340 0.047445 Up
3 4.120 4-Hydroxybenzoate C7H6O3 138.121 1.27311 0.018775 Up
4 4.450 p-Aminobenzoate C7H7NO2 137.136 3.45323 0.004585 Up
5 6.070 4-Hydroxy-3,5-diisopropylbenzaldehyde C13H18O2 206.200 1.69562 0.029888 Up
6 6.470 2-Aminoethylphosphonate C2H8NO3P 125.064 0.56516 0.021502 Down
7 9.452 Dodecanedioic acid C12H22O4 230.300 0.32932 0.036416 Down
8 10.950 trans-Aconitic acid C6H6O6 174.016 0.69121 0.009376 Down
9 11.010 Phosphoric acid H3O4P 97.995 0.79450 0.018272 Down
ESI − mode
1 0.870 alpha-Ketoglutaric acid C5H6O5 146.098 1.68713 0.041975 Up
2 0.880 L-Cysteinesulfinic acid C3H7NO4S 153.160 2.57192 0.033105 Up
3 0.900 Hydroxycitric acid C6H8O8 208.124 1.44818 0.037908 Up
4 1.040 2-Aminoethanesulfonic acid C2H7NO3S 125.015 1.59222 0.045750 Up
5 1.936 Succinic acid C4H6O4 118.090 0.67941 0.011762 Down
6 1.938 Methylmalonate C4H6O4 118.090 0.66665 0.013200 Down
7 3.420 Glutaconic acid C5H6O4 130.099 0.64917 0.009588 Down
8 4.450 3-Hydroxyanthranilic acid C7H7NO3 153.135 0.58887 0.031454 Down
9 5.901 Vanillic acid C8H8O4 168.150 0.53096 0.011337 Down
10 6.100 Isovanillic acid C8H8O4 168.150 0.55737 0.012052 Down

Table 3.

Significantly differential metabolites belonging to carbohydrates and their derivatives in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 0.900 Isomaltose C12H22O11 342.297 1.54350 0.008773 Up
2 1.660 D-Threose C4H8O4 120.042 0.66552 0.024747 Down
3 4.260 DIMBOA glucoside C15H19NO10 374.108 2.88963 0.010864 Up
4 5.730 Pteroside A C21H30O8 410.464 0.74440 0.045354 Down
5 6.050 Icariside B2 C19H30O8 386.194 1.95132 0.007890 Up
6 7.470 7-O-Methylaloeresin A C29H30O11 554.550 1.96790 0.022436 Up
7 10.150 Sedoheptulose anhydride C7H12O6 192.167 0.79070 0.009938 Down
ESI − mode
1 0.860 Sorbitol-6-phosphate C6H15O9P 262.045 1.55425 0.013097 Up
2 0.860 D-Glucose 1-phosphate C6H13O9P 260.136 1.53388 0.022855 Up
3 0.860 D-Fructose 6-phosphate C6H13O9P 260.136 1.89067 0.033529 Up
4 0.860 D-Glucose-6-phosphate C6H13O9P 260.030 1.87176 0.036772 Up
5 0.870 D-Glucopyranose C6H12O6 180.156 1.73418 0.019685 Up
6 0.870 D-Galactaric acid C6H10O8 210.038 1.44618 0.021811 Up
7 0.870 alpha-D-Galactose 1-phosphate C6H13O9P 260.136 1.91270 0.032810 Up
8 0.870 D-Mannose 6-phosphate C6H13O9P 260.136 1.89630 0.044741 Up
9 0.890 L-Sorbose C6H12O6 180.160 1.88091 0.033118 Up
10 0.894 D-Glucuronic acid C6H10O7 194.140 1.88042 0.046651 Up
11 0.900 D-Galactose C6H12O6 180.160 1.82545 0.033758 Up
12 0.910 6-Phosphogluconic acid C6H13O10P 276.135 1.64561 0.039733 Up
13 0.912 alpha-D-Glucose C6H12O6 180.160 2.01494 0.027591 Up
14 0.920 D-Ribose C5H10O5 150.130 1.48251 0.001443 Up
15 0.940 D-Glucose C6H12O6 180.156 1.85706 0.031938 Up
16 0.984 N-Acetylglucosamine C8H15NO6 221.210 1.54461 0.009389 Up
17 1.010 D-Xylose C5H10O5 150.131 1.70502 0.005010 Up
18 4.989 Salicin C13H18O7 286.280 0.22890 0.009265 Down

Table 4.

Significantly differential metabolites belonging to lipids in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 1.060 Methyl oleate C19H36O2 296.488 1.81502 0.039804 Up
2 5.250 1-Hexadecanol C16H34O 242.441 3.55889 0.004228 Up
3 10.900 Palmitoleic acid C16H30O2 254.408 0.79256 0.032195 Down
4 10.990 LPC (1-acyl 16:2) C24H46NO7P 491.600 0.55850 0.019798 Down
5 11.005 trans-2-Hexenal C6H10O 98.140 0.76749 0.022241 Down
6 11.330 LysoPC 18:3 (2n isomer) C26H48NO7P 517.200 0.69023 0.026496 Down
7 11.360 LysoPC 14:0 (2n isomer) C22H46NO7P 467.300 0.38479 0.000983 Down
8 11.370 Lysopc 14:0 C22H46NO7P 467.577 0.38528 0.001830 Down
9 11.450 LysoPC 15:1 C23H46NO7P 479.100 0.59558 0.026791 Down
10 11.540 LPC(1-acyl 16:1) C24H48NO7P 493.610 0.62069 0.002815 Down
11 11.570 LysoPC 16:1 C24H48NO7P 493.300 0.64477 0.009996 Down
12 11.940 LysoPC 15:0 C23H48NO7P 481.300 0.78497 0.044473 Down
ESI − mode
1 1.690 9,10-EODE C18H32O3 296.000 0.61987 0.040417 Down
2 1.860 (E)-3-(4-Hydroxyphenyl)Propenoic Acid (2S)-3-(beta-D-Glucopyranosyloxy)-2-Hydroxypropyl Ester C18H24O10 400.377 2.32277 0.025892 Up
3 5.747 3-Methyladipic acid C7H12O4 160.170 0.74442 0.034135 Down
4 11.270 Lysope 14:0 C19H40NO7P 425.500 0.42945 0.000565 Down
5 11.908 Hexadecanedioic acid C16H30O4 286.410 1.44060 0.040142 Up

Table 5.

Significantly differential metabolites belonging to flavonoids in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 0.710 methylLuteolin-C-hexoside C22H22O11 448.400 0.39236 0.034781 Down
2 0.900 8-C-hexosyl-apigenin O-hexosyl-O-hexoside C33H40O20 756.669 1.97583 0.017199 Up
3 0.970 methylChrysoeriol-5-O-hexoside C23H24O11 476.430 2.06676 0.000935 Up
4 0.970 Irisolidone-7-O-beta-d-glucoside C23H24O11 476.430 1.59313 0.013537 Up
5 6.180 Daidzin C21H20O9 416.111 0.52885 0.016847 Down
6 6.190 Chrysin O-hexoside C21H20O9 416.200 0.46892 0.003323 Down
7 6.280 4′-O-Glucosylvitexin C27H30O15 594.518 0.66480 0.042288 Down
8 6.540 Quercetin-O-glucoside C21H20O12 464.376 2.10679 0.018089 Up
9 7.520 C-pentosyl-chrysoeriol 7-O-feruloylhexoside C37H38O18 770.210 2.85714 0.014988 Up
10 7.590 Chrysin O-malonylhexoside C24H22O12 502.431 2.10725 0.019679 Up
ESI− mode
1 1.010 Sakuranetin C16H14O5 286.279 1.72006 0.020090 Up
2 6.780 Genistin C21H20O10 432.380 0.53560 0.010864 Down
3 7.080 Heptamethoxyflavone C22H24O9 432.420 0.65885 0.011248 Down
4 7.300 Azaleatin C16H12O7 316.265 0.37452 0.041797 Down

Table 6.

Significantly differential metabolites belonging to organoheterocyclic compounds in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Fold Change p-Value Change
ESI+ mode
1 0.730 Deoxynojirimycin C6H13NO4 163.173 1.63225 0.044442 Up
2 1.090 3-Indoleacetonitrile C10H8N2 156.180 1.74573 0.028890 Up
3 1.509 Hypoxanthine C5H4N4O 136.110 0.58954 0.009671 Down
4 1.830 Zarzissine C5H5N5 135.054 0.71998 0.008105 Down
5 1.840 N-Methylnicotinamide C7H8N2O 136.151 0.72667 0.006758 Down
6 2.010 (S)-2-Phenyloxirane C8H8O 120.058 0.74614 0.032044 Down
7 2.910 4-Pyridoxate C8H9NO4 183.161 0.23329 0.001957 Down
8 3.950 4-Methyl-5-thiazoleethanol C6H9NOS 143.100 0.54310 0.030762 Down
9 4.480 N-gamma-Acetyl-N-2-Formyl-5-Methoxykynurenamine C13H16N2O4 264.277 0.54189 0.013823 Down
10 5.898 NNK C10H13N3O2 207.230 1.87094 0.028485 Up
11 7.142 Indole-3-carboxylic acid C9H7NO2 161.160 0.46336 0.004700 Down
12 12.565 Alantolactone C15H20O2 232.320 0.63620 0.042875 Down
ESI− mode
1 0.927 Indole-2-carboxylic acid C9H7NO2 161.160 2.19170 0.045829 Up
2 5.905 Brazilin C16H14O5 286.279 0.53742 0.025127 Down

Using KEGG analysis based on these differential metabolites, 46 terms were enriched. The top 20 enriched KEGG pathways are displayed in Figure 4C. There were eight significantly enriched KEGG pathways, including alanine, aspartate and glutamate metabolism; amino sugar and nucleotide sugar metabolism; sulfur metabolism; starch and sucrose metabolism; taurine and hypotaurine metabolism; glycolysis/gluconeogenesis; fructose and mannose metabolism; and nitrogen metabolism. These metabolic pathways have been reported to be clearly affected by Se fortification or other treatments in kale or other plants. For example, high-voltage electrostatic field treatment has been demonstrated to significantly regulate alanine, aspartate and glutamate metabolism of kale [37]. Se fortification has been indicated to significantly regulate amino sugar and nucleotide sugar metabolism of alfalfa sprouts [38]. Plants absorb inorganic selenium and convert it into various organic selenides via the sulfur metabolism pathway [39]. Because the absorption and assimilation of sulfur by plants are coordinated with the absorption and assimilation of nitrogen, by influencing sulfur metabolism, selenium also affects nitrogen metabolism [40]. Se fortification has been demonstrated to facilitate the production of sulfur compounds in kale sprouts [15,41]. Se fortification has been found to markedly modulate starch and sucrose metabolism and glycolysis/gluconeogenesis metabolic pathways of alfalfa leaves [42]. Selenium nanoparticle treatment has been observed to clearly regulate taurine and hypotaurine metabolism in soybean seedlings [43]. Se treatment has been reported to dramatically regulate fructose and mannose metabolism in rice [44].

3.4.1. Effect of Se Fortification on Amino Acid and Its Derivatives in Kale Leaf

After further analysis of the differential metabolites, 32 compounds (19 detected in ESI+ mode and 13 detected in ESI− mode) belonging to amino acid and its derivatives were identified, as shown in Table 1. Among them, 15 (i.e., trimethyllysine, 2-amino-2-deoxy-D-gluconate, homocysteine, L-asparagine, aspartate, ala-Gln, etc.) and 17 (D-threonine, L-glutamic acid, N alpha-acetyl-L-Arginine, ureidosuccinic acid, O-acetylserine, L-homoserine, etc.) compounds were significantly up-regulated and down-regulated, respectively. In particular, the quantitative values of trimethyllysine and ala-Gln in kale leaf were significantly increased to more than 2-fold in the selenate group compared to those in the control group. A previous study has reported that trimethyllysine is an important post-translationally modified amino acid with functions in the biosynthesis of carnitine, which is importantly involved in the transport of long-chain fatty acids from the cytosol to the mitochondria in both eukaryotes and some prokaryotes [45]. Moreover, Ala-Gln supplementation has been proven to possess an intestinal protection function [46,47]. On the other hand, the quantitative values of kynurenine, santacruzamate A and 3-(2-Naphthyl)-L-alanine clearly declined approximately 0.23-, 0.27- and 0.27-fold in the selenate group compared to those in the control group. Among them, 3-(2-Naphthyl)-L-alanine in dark tea has been proven to show significant correlations with digestive enzyme inhibition [48]. These observations indicated that Se fortification had significant influences on the contents of amino acid and its derivatives in kale leaf, which might enhance some biological activities like intestinal protection function.

3.4.2. Effect of Se Fortification on Organic Acid and Its Derivatives in Kale Leaf

After further analysis of the differential metabolites, 19 compounds (9 identified in ESI+ mode and 10 detected in ESI− mode) belonging to organic acid and its derivatives were determined, as illustrated in Table 2. Of those, 9 compounds including N-Acetyl-L-carnosine, maleamic acid, 4-hydroxybenzoate, p-aminobenzoate, alpha-ketoglutaric acid, L-cysteinesulfinic acid, hydroxycitric acid and 2-aminoethanesulfonic acid were notably up-regulated, whereas 10 compounds including 2-aminoethylphosphonate, dodecanedioic acid, trans-aconitic acid, phosphoric acid, succinic acid, methylmalonate, glutaconic acid, 3-hydroxyanthranilic acid, vanillic acid and isovanillic acid were evidently down-regulated. In particular, the quantitative values of p-aminobenzoate and L-cysteinesulfinic acid were markedly enhanced to approximately 3.45- and 2.57-fold in the selenate group as compared to those in the control group. Of those, p-aminobenzoate has been reported to possess numerous biological activities, such as antioxidant, antibacterial, antimutagenic, anticoagulant, fibrinolytic and immunomodulating activities, protection against UV irradiation, as well as chemical induction associated with thermotolerance and pathogen resistance in plants [49]. L-Cysteinesulfinic acid has been demonstrated to have anti-methanogenic and antimicrobial activities [50]. These results suggested that Se fortification had significant effects on the contents of organic acid and its derivatives in kale leaf, which might elevate some biological activities like antibacterial action.

3.4.3. Effect of Se Fortification on Carbohydrates and Their Derivatives in Kale Leaf

After further analysis of the differential metabolites, 25 compounds (7 detected in ESI+ mode and 18 detected in ESI− mode) belonging to carbohydrates and their derivatives were identified, as displayed in Table 3. Of those, 22 (i.e., isomaltose, DIMBOA glucoside, icariside B2, sorbitol-6-phosphate, D-glucose 1-phosphate, D-fructose 6-phosphate, etc.) and 3 (D-threose, pteroside A and sedoheptulose anhydride) compounds were dramatically up-regulated and down-regulated, respectively. In particular, the quantitative value of DIMBOA glucoside in kale leaf was significantly increased to be approximately 2.89-fold in the selenate group compared to that in the control group. It is worth noting that DIMBOA glucoside has been reported to enhance the resistance of wheat and maize to aphids [51]. Moreover, low-molecular-weight carbohydrates are compounds directly related to the kale flavor and nutritional quality [52]. According to Table 3, the quantitative values of D-glucopyranose, D-galactaric acid, L-sorbose, D-glucuronic acid, D-galactose, alpha-D-glucose, D-ribose, D-glucose and D-xylose were notably up-regulated. Among them, glucose is one of the major soluble sugars found in kale [3,4]. These findings implied that Se fortification had notable impacts on the amounts of carbohydrates and their derivatives in kale leaf, which might alter the kale flavor and nutritional quality.

3.4.4. Effect of Se Fortification on Lipids in Kale Leaf

Plant lipids have become increasingly popular as functional components in the creation of functional foods among all bioactive phytochemicals [3]. After further analysis of the differential metabolites, 17 compounds (12 identified in ESI+ mode and 5 identified in ESI− mode) belonging to lipids were determined, as revealed in Table 4. Among them, 4 (methyl oleate, 1-hexadecanol, (E)-3-(4-Hydroxyphenyl)propenoic acid (2S)-3-(beta-D-glucopyranosyloxy)-2-hydroxypropyl ester and hexadecanedioic acid) and 13 (i.e., palmitoleic acid, LPC (1-acyl 16:2), trans-2-hexenal, LysoPC 18:3 (2n isomer), 9,10-EODE, 3-methyladipic acid, etc.) compounds were significantly up-regulated and down-regulated, respectively. In particular, the quantitative value of 1-hexadecanol in kale leaf was observably increased to be more than 2-fold in the selenate group compared to that in the control group. In previous studies, 1-hexadecanol has been found to exhibit antimicrobial [53] and anticancer [54] activities. These results hinted that Se fortification produced clear influences on the contents of lipids in kale leaf, which might enhance some bioactivities.

3.4.5. Effect of Se Fortification on Flavonoids in Kale Leaf

Flavonoids, being prevalent in vegetables, are essential to the diverse stages of their growth, development and storage [55], and they have been shown to have multiple pharmacological activities, such as antioxidant, anti-inflammatory, antibacterial, antiviral, anticancer, antidiabetic and immune function modulation [56]. Kale is a good source of flavonoids compared to other commonly consumed vegetables [4]. Organic and bio-organic fertilizers have been demonstrated to enhance the flavonoids of broccoli (Brassica leracea, Var. Italica) [57]. After further analysis of the differential metabolites, 14 compounds (10 detected in ESI+ mode and 4 detected in ESI− mode) belonging to flavonoids were identified, as listed in Table 5. Of those, seven compounds (8-C-hexosyl-apigenin O-hexosyl-O-hexoside, methylChrysoeriol-5-O-hexoside, irisolidone-7-O-beta-d-glucoside, quercetin-O-glucoside, C-pentosyl-chrysoeriol 7-O-feruloylhexoside, chrysin O-malonylhexoside and sakuranetin) were notably up-regulated, and seven compounds (methylLuteolin-C-hexoside, daidzin, chrysin O-hexoside, 4′-O-glucosylvitexin, genistin, heptamethoxyflavone and azaleatin) were notably down-regulated. In particular, the quantitative value of C-pentosyl-chrysoeriol 7-O-feruloylhexoside in kale leaf was significantly increased to approximately 2.86-fold in the selenate group compared to that in the control group. Similarly, the C-pentosyl-chrysoeriol 7-O-feruloylhexoside content of goji fruit was significantly increased with phosphorus fertilizer levels [58]. These observations indicated that Se fortification generated significant effects on the contents of flavonoids in kale leaf, which might elevate some pharmacological activities.

3.4.6. Effect of Se Fortification on Organoheterocyclic Compounds in Kale Leaf

Organoheterocyclic compounds have been reported for the treatment of cancer and kidney diseases [59]. Moreover, the accumulation of glucosinolates induced by thermal stress has been found to significantly affect organoheterocyclic compounds of kale [60]. After further analysis of the differential metabolites, 14 compounds (12 identified in ESI+ mode and 2 identified in ESI− mode) belonging to organoheterocyclic compounds were determined, as shown in Table 6. Among them, 4 compounds (deoxynojirimycin, 3-indoleacetonitrile, NNK and indole-2-carboxylic acid) were significantly up-regulated, and 10 compounds (i.e., hypoxanthine, zarzissine, N-methylnicotinamide, (S)-2-phenyloxirane, 4-pyridoxate, brazilin, etc.) were significantly down-regulated, respectively. In particular, the quantitative value of indole-2-carboxylic acid was markedly up-regulated to approximately 2.19-fold in the selenate group as compared to that in the control group. In a previous report [61], indole-2-carboxylic acids have been demonstrated to be MCL-1 inhibitors, thereby showed anticancer activity. These findings suggested that Se fortification had significant impacts on the amounts of organoheterocyclic compounds in kale leaf, which might alter some bioactivities.

3.4.7. Effect of Se Fortification on Other Differential Metabolites in Kale Leaf

There were other differential metabolites screened between the selenate group and the control group, including 10 phenylpropanoids and polyketides, 12 nucleotides and their derivates, 6 terpenoids, 4 amines, 5 vitamins, 4 phenols and their derivatives, 6 phenolic acids, 2 phytohormones, 2 alkaloids and their derivatives, 1 polyamine, 1 organooxygen compound, 1 benzene and substituted derivatives and 1 alcohol and polyol, as shown in Table 7. In a previous study [62], terpenoids and alkaloids were speculated to be bioactive constituents for the antibacterial activity of kale leaf extracts. Moreover, Se fortification has been widely reported to affect the synthesis of phenolic compounds in kale sprouts, which is related to cytotoxic, antioxidant and anti-inflammatory activities [11,15,32,41]. Furthermore, phytohormones are known to participate in plant Se accumulation [63], and polyamines are involved in the regulation of the cellular growth, apoptosis, rooting, flower development and stress responses of plants [64]. In Table 7, the quantitative value of caffeic acid in kale leaf is significantly increased to more than 2-fold in the selenate group compared to that in the control group. It has been reported that caffeic acid is one of the most abundant phenolic acids in kale leaves, and this compound is highly correlated with antioxidant and antibacterial activities [65]. These results implied that Se fortification produced significant effects on the contents of other differential metabolites like phenylpropanoids and polyketides in kale leaf, which might enhance some bioactivities.

Table 7.

Other differential metabolites in selenate group vs. control group.

Number RT (min) Name Formula Molecular Weight (Da) Class Fold Change p-Value Change
ESI+ mode
1 0.890 4-Hydroxycinnamaldehyde C9H8O2 148.159 Phenylpropanoids and polyketides 0.68576 0.034948 Down
2 1.840 Caffeic aldehyde C9H8O3 164.100 Phenylpropanoids and polyketides 0.70968 0.005165 Down
3 5.720 4-Methylumbelliferyl phenylphosphonate C16H13O5P 316.240 Phenylpropanoids and polyketides 1.83270 0.048113 Up
4 6.424 Fangchinoline C37H40N2O6 608.720 Phenylpropanoids and polyketides 0.39810 0.000144 Down
5 7.158 Dihydrocoumarin C9H8O2 148.159 Phenylpropanoids and polyketides 0.81987 0.018214 Down
6 9.238 6-Methylcoumarin C10H8O2 160.170 Phenylpropanoids and polyketides 1.84664 0.010285 Up
7 9.290 Ethyl coumarin-3-carboxylate C12H10O4 218.205 Phenylpropanoids and polyketides 0.58299 0.023577 Down
8 10.992 Methyl eugenol C11H14O2 178.230 Phenylpropanoids and polyketides 0.63596 0.000633 Down
9 0.960 2′-deoxy-5-(hydroxymethyl)cytidine C10H15N3O5 257.240 Nucleotide and its derivates 1.34418 0.048231 Up
10 1.029 Cytidine C9H13N3O5 243.220 Nucleotide and its derivates 1.74257 0.034440 Up
11 1.030 NADP C21H28N7O17P3 743.400 Nucleotide and its derivates 0.32475 0.014813 Down
12 3.928 Xanthosine C10H12N4O6 284.225 Nucleotide and its derivates 0.46649 0.013369 Down
13 4.040 1-Methylguanosine C11H15N5O5 297.267 Nucleotide and its derivates 0.64768 0.023146 Down
14 4.140 2′-O-methyladenosine C11H15N5O4 281.268 Nucleotide and its derivates 1.96054 0.017207 Up
15 4.540 N6-Succinyl adenosine C14H17N5O8 383.313 Nucleotide and its derivates 0.71137 0.001703 Down
16 5.130 3′-Aenylic acid C10H14N5O7P 347.221 Nucleotide and its derivates 0.59098 0.032129 Down
17 1.060 Borneol C10H18O 154.249 Terpenoids 1.55483 0.044955 Up
18 6.040 Citroside A C19H30O8 386.194 Terpenoids 2.00210 0.018877 Up
19 9.751 Longifolene C15H24 204.350 Terpenoids 0.75707 0.048815 Down
20 9.970 Beta-Ionone C13H20O 192.297 Terpenoids 0.82862 0.048116 Down
21 10.140 Elemol C15H26O 222.198 Terpenoids 0.75625 0.023813 Down
22 10.795 Tanshinone II B C19H18O4 310.347 Terpenoids 0.76223 0.021306 Down
23 0.880 N1-Acetylspermine C12H28N4O 244.377 Amines 0.72696 0.008203 Down
24 4.430 N,N-Dimethyl-1,4-phenylenediamine C8H12N2 136.194 Amines 2.43345 0.031564 Up
25 6.350 1-Decanoyl-2-hydroxy-sn-glycero-3-phosphocholine C18H38NO7P 411.500 Amines 1.39888 0.045250 Up
26 9.540 4-D-Hydroxysphinganine C18H39NO3 317.507 Amines 0.69954 0.003165 Down
27 0.800 Pyridoxamine C8H12N2O2 168.090 Vitamins 1.59019 0.034441 Up
28 0.970 Pyridoxine di-O-hexoside C20H31NO13 493.465 Vitamins 1.75554 0.034493 Up
29 1.050 Vitamin D2 C28H44O 396.648 Vitamins 1.35118 0.029204 Up
30 1.530 Pyridoxine C8H11NO3 169.178 Vitamins 1.75554 0.018088 Down
31 5.100 N-Feruloyl putrescine C14H20N2O3 264.100 Phenols and its derivatives 2.33433 0.017474 Up
32 6.490 Sinapaldehyde C11H12O4 208.211 Phenols and its derivatives 0.53038 0.012306 Down
33 7.532 Ferulaldehyde C10H10O3 178.185 Phenols and its derivatives 0.82819 0.020825 Down
34 9.209 Bornyl acetate C12H20O2 196.290 Phenols and its derivatives 0.56864 0.005409 Down
35 4.910 N-p-Coumaroylputrescine C13H18N2O2 234.290 Phenolic acids 2.26059 0.000463 Up
36 5.540 Hydroxycinnamate C9H8O3 164.158 Phenolic acids 0.61848 0.045476 Down
37 11.630 5-O-Caffeoylshikimic acid C16H16O8 336.293 Phenolic acids 1.72815 0.038816 Up
38 1.000 iP9G C16H23N5O5 365.384 Phytohormones 2.28196 0.009327 Up
39 4.620 trans-zeatin N-glucoside C16H23N5O6 381.200 Phytohormones 1.67891 0.024310 Up
40 1.540 Lupinine C10H19NO 169.267 Alkaloids and derivatives 0.77060 0.043363 Down
41 2.834 Hordenine C10H15NO 165.230 Alkaloids and derivatives 0.33202 0.028973 Down
42 0.680 Spermidine C7H19N3 145.246 Polyamine 0.63059 0.035179 Down
43 4.285 5-Hydroxymethylfurfural C6H6O3 126.110 Organooxygen compounds 0.60215 0.020847 Down
44 6.120 Sattabacin C13H18O2 206.280 Benzene and substituted derivatives 1.85913 0.011933 Up
ESI− mode
1 0.690 Thymidine 5′-diphosphate C10H16N2O11P2 402.190 Nucleotide and its derivates 0.59820 0.009880 Down
2 0.730 dATP C10H16N5O12P3 491.001 Nucleotide and its derivates 0.71596 0.019214 Down
3 0.980 2-deoxyglucose-6-phosphate C6H13O8P 244.136 Nucleotide and its derivates 2.35486 0.000842 Up
4 4.289 Thymidine C10H14N2O5 242.230 Nucleotide and its derivates 0.52871 0.041315 Down
5 1.038 Shikimic acid C7H10O5 174.150 Phenolic acids 2.22761 0.008091 Up
6 5.801 Caffeic acid C9H8O4 180.160 Phenolic acids 3.39126 0.004990 Up
7 6.040 2,6-Di-tert-butylphenol C14H22O 206.320 Phenolic acids 1.98445 0.033550 Up
8 1.040 P-Coumaryl alcohol C9H10O2 150.174 Phenylpropanoids and polyketides 1.36602 0.019139 Up
9 6.970 Oxyresveratrol C14H12O4 244.240 Phenylpropanoids and polyketides 0.65530 0.029290 Down
10 0.950 Bisulfurous acid C11H8O2 172.180 Vitamins 1.86849 0.017363 Up
11 5.920 3-O-p-coumaroyl shikimic acid O-hexoside C22H26O12 482.100 Alcohols and polyols 1.74780 0.012347 Up

3.5. Metabolic Biomarkers in Kale Leaf Affected by Se Fortification

As mentioned in Figure 4, eight different metabolic pathways of kale leaf that were significantly regulated by Se fortification were determined. When combined, there were 24 differential metabolites (12 carbohydrates and their derivatives, 8 amino acids and their derivatives and 4 organic acid and their derivatives) enriched in the eight metabolic pathways, as shown in Figure 5. These 24 metabolites could be considered as biomarkers indicating the changes in nutrients of kale caused by selenium fortification. The interaction of sugars and amino acids could affect plant quality and aroma [66]. Moreover, the contents of amino acids could influence nitrogen accumulation in plants [67], and amino acids’ or compounds’ synthesis play important roles in the adaptions of plants to stress and adversity [68]. In Figure 5, the quantitative values of 17 (i.e., alpha-D-galactose 1-phosphate, alpha-D-glucose, D-fructose 6-phosphate, D-glucose, homocysteine and L-asparagine, etc.) and 7 (salicin, L-argininosuccinate, L-glutamic acid, L-homoserine, O-acetylserine, ureidosuccinic acid and succinic acid) compounds ae notably up-regulated and down-regulated, respectively. Similarly, nano-Se foliar application increased the glucose content in Siraitia grosvenorii [66]. The D-glucose-6-phosphate content was significantly increased, whilst that of L-glutamic acid was dramatically decreased in alfalfa affected by Se fortification [67]. L-Asparagine and L-glutamine in red pitaya fruit have been demonstrated to be greatly increased by nano-selenium biofortification [68]. Of note, some of the above-metabolic biomarkers have been demonstrated to possess health benefits. For instance, 2-aminoethanesulfonic acid (also known as taurine) has been reported to play important roles in the treatment of diseases of the muscle, the central nervous system and the cardiovascular system [69]. Alpha-ketoglutaric acid is involved in both energy metabolism and carbon and nitrogen metabolism, exhibiting a variety of functions, and therefore it may act as a regulator in the progression of a variety of diseases [70]. L-Cysteinesulfinic acid has been proven to modulate cardiovascular function in the periaqueductal gray area of rats [71]. Therefore, the changes in metabolic biomarkers induced by Se fortification might be related to the growth, quality and nutritive value of kale. This speculation should be confirmed in the future.

Figure 5.

Figure 5

The levels of the 24 metabolic biomarkers (enriched in 8 metabolic pathways of alanine, aspartate and glutamate metabolism, amino sugar and nucleotide sugar metabolism, sulfur metabolism, starch and sucrose metabolism, taurine and hypotaurine metabolism, glycolysis/gluconeogenesis, fructose and mannose metabolism and nitrogen metabolism) in kale leaf of selenate group vs. control group. Different letters (a and b) represent significant differences (p < 0.05) from each other.

3.6. Correlations Between Metabolic Biomarkers and Se Contents as Well as Speciation

Pearson correlation analyses were performed to explore whether the contents of metabolic biomarkers in kale leaf were related to Se contents and speciation, as illustrated in Figure 6. Many significant positive correlations were observed between carbohydrates and their derivatives and Se contents as well as speciation: SeCys2 with D-glucose 1-phosphate, D-glucose-6-phosphate, D-mannose 6-phosphate, D-xylose and L-sorbose; Se-MeSeCys with alpha-D-glucose, D-glucose, D-glucose 1-phosphate, D-glucose-6-phosphate, D-mannose 6-phosphate, D-xylose and L-sorbose; Se(IV) with D-glucose 1-phosphate and isomaltose; SeMet and Se(VI) with alpha-D-galactose 1-phosphate, D-glucose, D-glucose 1-phosphate, D-glucose-6-phosphate, D-mannose 6-phosphate, D-xylose, isomaltose, L-sorbose; total contents of Se in different forms with alpha-D-galactose 1-phosphate, D-glucose, D-glucose 1-phosphate, D-glucose-6-phosphate, D-mannose 6-phosphate, D-xylose, isomaltose, L-sorbose; total Se with alpha-D-galactose 1-phosphate, D-glucose, D-glucose 1-phosphate, D-glucose-6-phosphate, D-mannose 6-phosphate, isomaltose and sorbitol-6-phosphate. Meanwhile, some clear positive correlations were seen between organic acid and its derivatives and Se contents as well as speciation: SeCys2 with L-cysteinesulfinic acid; Se-MeSeCys with L-cysteinesulfinic acid; Se(IV) with 2-aminoethanesulfonic acid; SeMet and Se(VI) with 2-aminoethanesulfonic acid and L-cysteinesulfinic acid; total contents of Se in different forms with L-cysteinesulfinic acid.

Figure 6.

Figure 6

Pearson correlation analysis between the 24 metabolic biomarkers and Se contents as well as speciation in kale. *, ** and *** indicate a significant difference value of 0.05, 0.01 and 0.001, respectively.

On the other hand, some remarkable negative correlations were seen between amino acid and its derivatives and Se contents as well as speciation: SeCys2 and Se-MeSeCys with L-argininosuccinate, L-glutamic acid and O-acetylserine; Se(IV) with L-argininosuccinate and L-homoserine; SeMet, Se(VI) and total contents of Se in different forms with L-argininosuccinate, L-glutamic acid and O-acetylserine; total Se with L-argininosuccinate and O-acetylserine. Moreover, SeCys2, Se-MeSeCys, Se(IV), SeMet, Se(VI), total contents of Se in different forms and total Se showed significant negative correlations with one (salicin) of the carbohydrates and its derivatives. Meanwhile, Se(IV), SeMet, Se(VI) and total contents of Se in different forms were clearly negatively correlated with one (succinic acid) organic acid and its derivatives.

Furthermore, prominent positive and negative correlations were found in themselves of metabolic biomarkers or Se contents as well as speciation. Similarly, clear correlations between differential metabolites and Se along with differential metabolites and differential metabolites have been discovered in purple rice grains exposed to different selenium concentrations [72]. In the study by Zagrodzki et al. [11], Se was proven to be correlated only with caffeic acid in Se fortification of kale. Paśko et al. [15] found that Se speciation in kale sprouts fortified with novel organic Se compounds was strongly correlated with one another.

In general, Se fortification produced positive effects on the accumulation of carbohydrates and their derivatives along with organic acid and its derivatives, whereas this generated negative influences on the production of amino acid and its derivatives.

4. Conclusions

Se deficiency is an urgent problem that needs to be addressed, and Se fortification is commonly applied to produce Se-enriched foods. In the present study, Se fortification using Se fertilizer significantly increased the contents of total Se and different Se speciation in kale leaf. Meanwhile, Se fortification clearly increased the plant height and leaf weight of kale, and it notably decreased the chlorophyll and total phenolic contents in kale leaf. Moreover, Se fortification markedly changed the metabolic profile of kale leaf, especially involved in six types of compounds and eight metabolic pathways. Twenty-four metabolites were screened as biomarkers indicating the changes in nutrients of kale caused by selenium fortification. Furthermore, correlation analysis reflected that Se fortification produced positive effects on the accumulation of carbohydrates and their derivatives as well as organic acid and its derivatives, while it generated negative influences on the production of amino acid and its derivatives, in kale leaf. These results indicate that Se fortification has a significant influence on growth performance and nutritional compounds of kale. In contrast with previous studies, our findings are beneficial for comprehensively understanding the impact of selenium fortification on the nutritional compounds in kale, and they can guide future research on the potential biological activities of Se-biofortified kale. This is of great significance for the development and future research of the kale industry. However, several limitations of this study should be addressed in future research: the nutritive value and bioactivity of Se-enriched kale remain to be thoroughly investigated; the mechanisms through which selenium fortification influences the growth performance and nutritional compounds of kale require further elucidation; the effects of other fortification methods on kale growth and nutrients of kale also merit comparative study. In the next work, we will focus on resolving these issues.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/foods14183283/s1, Figure S1. Representative total ion chromatograms of kale samples from control and selenate groups in positive ion mode. Figure S2. Representative total ion chromatograms of kale samples from control and selenate groups in negative ion mode.

foods-14-03283-s001.zip (179.5KB, zip)

Author Contributions

Conceptualization, X.-Y.Z., M.W., Q.Z. and X.-Y.W.; methodology, X.-Y.Z., H.L., Q.Z. and X.-Y.W.; investigation, X.-Y.Z., H.L., L.-C.S. and Q.Z.; formal analysis, X.-Y.Z., L.-C.S. and T.-T.L.; writing—original draft preparation, X.-Y.Z.; writing—review and editing, Q.Z. and X.-Y.W.; supervision, M.W. and X.-Y.W.; project administration, H.L., L.-C.S. and T.-T.L.; funding acquisition, X.-Y.Z., Q.Z. and X.-Y.W. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This work was financially supported by the Science and Technology Innovation Talent Project in Ganzhou [2022CXRC9540] and the University-Level Scientific Research Projects of Gannan Medical University [QD201913, QD202128, TD202313 and TD202313-1].

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

foods-14-03283-s001.zip (179.5KB, zip)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials. Further inquiries can be directed to the corresponding authors.


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