Next Article in Journal
Effects of Toxic Organic Compounds on Tenebrio molitor and Its Parasite Gregarina steini
Previous Article in Journal
Habitat Suitability Shifts of Eucommia ulmoides in Southwest China Under Climate Change Projections
Previous Article in Special Issue
Physiological Changes and Time-Course Transcriptomic Analysis of Salt Stress in Chenopodium quinoa
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Metabonomics Analysis Reveals the Influence Mechanism of Three Potassium Levels on the Growth, Metabolism and Accumulation of Medicinal Components of Bupleurum scorzonerifolium Willd. (Apiaceae)

1
School of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China
2
Biological Science and Technology Department, Heilongjiang Vocational College for Nationalities, Harbin 150066, China
3
Botany and Microbiology Department, Faculty of Science, Menoufia University, Shebin Elkoom 32511, Egypt
4
College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biology 2025, 14(5), 452; https://doi.org/10.3390/biology14050452
Submission received: 20 March 2025 / Revised: 17 April 2025 / Accepted: 21 April 2025 / Published: 22 April 2025
(This article belongs to the Special Issue Research Progress on Salt Stress in Plants)

Simple Summary

Wild Bupleurum scorzonerifolium Willd. is over-mined, and its cultivation has issues like improper fertilization, leading to low yield and quality. This study aimed to find out how different levels of potassium fertilizer affect Bupleurum scorzonerifolium Willd. The researchers applied three levels of potassium fertilizer and analyzed the plant’s metabolites. They found that low and high potassium levels promoted the growth of main shoots and roots but reduced dry matter in lateral shoots and flowers. Low potassium increased saikosaponin a content, while high potassium inhibited the accumulation of some saikosaponins. The study identified key metabolites and related metabolic pathways. These findings can help farmers use potassium fertilizer more rationally, improve Bupleurum scorzonerifolium Willd. yield and quality, and are valuable for sustainable herbal medicine production.

Abstract

Bupleurum scorzonerifolium Willd. is a commonly used bulk Chinese herbal remedy. Due to the large-scale mining of wild Bupleurum scorzonerifolium Willd., its natural resources are gradually exhausted. In addition, there are some problems in Bupleurum scorzonerifolium Willd. cultivation, such as lack of guidance, excessive application of fertilizers and so on, which lead to the yield and quality of Bupleurum to be below the standard value. Therefore, it is significant to clarify the regulation of quality and yield under different levels of fertilizers. In this study, three different levels of potassium fertilizer were applied; then, the metabolites in different parts of Bupleurum were analyzed by gas chromatography–mass spectrometry (GC–MS) to detect the alterations in the metabolic spectrum and recognize both the accumulation and distribution of key metabolites in response to each level of potassium fertilizer. The contents of various mineral elements, such as sodium, calcium, potassium, magnesium, manganese, zinc, iron, and copper, in different parts of Bupleurum under different potassium levels were determined. Potassium fertilizer had a significant impact on the absorption and distribution of these mineral elements. There were synergistic and antagonistic effects between each element and K⁺. The results showed that low and high potassium levels could promote the progression of main shoots and roots, but inhibited the accumulation of dry matter in lateral shoots and flowers. Low potassium levels stimulated the content of saikosaponin a in all plant parts, while high potassium levels inhibited the accumulation of most saikosaponin a,c and d. A total of 77 metabolites were identified by GC–MS, of which glycerol, d-glucose, silane and copper phthalocyanine were highlighted as the key metabolites in response to potassium fertilizer. The abovementioned metabolites are mapped into insulin signaling pathways, streptomycin biosynthesis, galactose metabolism and other metabolic pathways, sustaining the metabolic regulation of Bupleurum scorzonerifolium Willd.

1. Introduction

Bupleurum scorzonerifolium Willd., a plant of the Umbelliferae family, is an important medicinal plant species in China [1]. Its dried roots are used as medicine. Clinically, it is commonly used to treat a variety of conditions such as cold and fever, irregular menstruation, distending pain in the chest and hypochondrium, and organ prolapse [2,3,4]. The resources of Bupleurum are quite abundant and widely distributed. However, for a long time, commercial Bupleurum has been overly reliant on wild resources for supply. As a result, the yield of wild Bupleurum resources cannot even meet 20% of the market demand [5]. In Northeast China, there is a vast expanse of black soil, which is extremely fertile. At present, there are large-scale planting sites for Bupleurum. As a crop with a high potassium requirement, maize has been widely and continuously planted in Northeast China for a long time. In Northeast China, the long-term and continuous cultivation of plants with high potassium requirements in the soil, such as corn, soybeans, and rice, has led to a gradual decline in the content of available potassium in the soil [6,7].
Nitrogen (N), phosphorus (P), and potassium (K) are regarded as crucial and indispensable nutrients in the growth and development process of plants [8,9]. In the early stage of this study, our research group successfully completed the relevant studies on applying different levels of nitrogen and phosphorus fertilizers to Bupleurum [10,11]. Potassium (K), a macronutrient, can make up as much as 10% of plants’ dry mass. Also, it is crucial in controlling plant expansion, regulation and the operation of stomata [12,13,14,15], cell volume growth and cytoskeleton continuum within plant cells [16,17,18,19]. Plants coordinate the transport of K+ through channels and transporters in vivo to meet the demand for K+ [20,21,22]. Additionally, the presence of K+ in cytoplasm plays a vital role in controlling the synthesis of proteins and the activity of enzymes in root cells, achieved by preserving the pH and the charge of protein anions. In addition, adaptive changes in plant root and root hair also promote the absorption of potassium ions by potassium stress [23,24]. Plants usually cope with nutrient deficiency by distributing biomass to roots, so as to improve root cap and improve their capacity to assimilate nutrients present in the soil. Therefore, an appropriate amount of K+ is imperative to enhance the yield and quality of plants and improve plants’ capacity to resist biotic and abiotic stresses [25,26,27].
During the process of metabolism, plants produce a large number of metabolites. Exploring plant metabolomics can help us gain in-depth insights into the complex metabolic processes within plants and the diverse range of plant metabolites. These metabolites play a crucial role when plants respond to changes in their living environment. Previous studies on Bupleurum mainly focused on its response mechanisms under drought and salt—alkali stress conditions—and there is a lack of research on the response mechanisms of Bupleurum under the influence of nutrients [28,29,30,31]. The chemical constituents of Bupleurum are complex, including saponins, volatile oils, flavonoids and polysaccharides. Studies have shown that there are significant differences in metabolite profiles not only among different medicinal varieties of Bupleurum, but also in the investigations of metabolite profiles of different parts of Bupleurum [32]. In the field of plant science, the relationship between mineral elements and metabolites has always been a research hotspot. Early studies mainly focused on the impact of mineral elements on basic plant growth indicators. Nowadays, research has delved into the molecular level to explore their internal connections with metabolites. Studies have shown that an appropriate amount of potassium can promote the absorption and utilization of nitrogen and phosphorus by plants, improve the photosynthetic efficiency of crops, and thus affect the accumulation of metabolites such as sugars and starches [33]. In addition, medium—and trace—elements, such as calcium, magnesium, iron, and zinc, are also closely related to plant metabolites. Calcium, as the second messenger in cell signal transduction, participates in regulating the plant hormone signaling pathway and affects plant growth, development, and metabolite synthesis [34]; magnesium is the core component of chlorophyll, which is directly related to the process of photosynthesis and thus affects the production of photosynthetic products [35]; iron and zinc, as cofactors of multiple enzymes, participate in numerous redox reactions and metabolic processes in plants and have a significant impact on the types and contents of plant metabolites [36,37]. Potassium is closely related to the absorption and transport of other mineral elements, and the interaction between mineral elements and key metabolites may have an important impact on the growth, development, and quality of Bupleurum.
The objectives of this study are as follows: (1) To evaluate the effects of different potassium levels on the yield and quality trait parameters of the aboveground and underground parts of Bupleurum; (2) To reveal the impact of potassium fertilizer on the content of saikosaponins in different tissues of Bupleurum; (3) To explore the changes in the metabolite profiles of different tissues of Bupleurum caused by potassium application; (4) To screen the key metabolites and metabolic pathways involved in the regulation of biosynthesis; (5) To construct a visual model of the relationships among potassium fertilizer, metal content, saponin content, and primary metabolism. This is aimed at providing a theoretical model for the regulation of plant nutrients during the application of potassium fertilizer.

2. Materials and Methods

2.1. Design of Experiment

The experimental site is located in the Bupleurum Planting Research Base in Daqing, China (47°18′ N, 124°87′ E). It belongs in the continental monsoon climate in the North Temperate Zone, with a large temperature difference among the four seasons. The average annual temperature during the growing period from 2022 to 2024 is 4 °C, the average annual precipitation is 417.2 mm, and the average annual sunshine duration is 2807 h. The altitude of the experimental site ranges from 142.7 to 152.4 m. The chemical properties of the soil are as follows: PH value is 7.78, the content of organic matter is 4.86 g/kg; the total nitrogen content is 1.64 g/kg; the available nitrogen content is 0.21 mg/kg, the available phosphorus content is 27.4 mg/kg, and the available potassium content is 165.8 mg/kg.
The research object of this project is two-year-old Bupleurum scorzonerifolium. Potassium chloride (KCl) is used as the potassium fertilizer. Potassium chloride is highly soluble in water. At 20 degrees Celsius, its solubility is 34.7%. It has stable physical properties, is not prone to caking, and is convenient for application. Meanwhile, potassium chloride is a quick-acting fertilizer that can be directly absorbed by plants. Therefore, considering the natural environmental conditions of the experimental site, it is more prudent to select potassium chloride as the potash fertilizer. Bupleurum is treated by adjusting the application amount of potassium fertilizer, that is, it is treated with the control group (CK), the low-potassium group (LK), and the high-potassium group [38]. The three potassium fertilizer levels are as follows: CK (0 kg/ha⁻1), LK (7.3 kg/ha⁻1), and HK (14.6 kg/ha⁻1). Since the soil in this experimental plot is rich in potassium content, referring to the previous fertilization amount by farmers, 7.3 kg·ha⁻1 is regarded as the low potassium level and 14.6 kg/ha⁻1 is regarded as the high potassium level. Nine flat plots are selected, and the area of each plot is (3 m × 1.2 m). Each of the three experimental groups is treated with three repetitions. Potassium fertilizer is applied once in July 2024. In August 2024, samples of Bupleurum are collected from the experimental fields with consistent geographical conditions, uniformity, and on the same slope. August was chosen as it is within the optimal harvesting period for Bupleurum in the experimental area. At the time of collection, each Bupleurum specimen was directly segmented into four parts: roots, flowers, main shoots, and lateral shoots. Every group gained three technical duplications and the weight and length of fresh products were measured at the same time. Simultaneously, a part of fresh Bupleurum was dried in a blast oven at 42 °C, and the remaining samples were stored at −80 °C.

2.2. Determination of Saikosaponin

A total of 500 mg of every organ of the Bupleurum roots, flowers, main and lateral shoots was mixed into 25 mL of pure methanol (HPLC, ≥99.9%). The mixtures were ultrasonically treated and filtered at 30 °C for half an hour. The residue from the filter underwent two washes with 10 mL of methanol followed by merging and drying of the filtrates. The residue was re-dissolved in pure methanol (HPLC, ≥99.9%) in a 10 mL volumetric flask. A total of 20 μL was filtered for HPLC analysis (Hitachi, Tokyo, Japan). The chromatographic conditions were as follows, time: 0~50 min, acetonitrile: 25~90%, pure water: 75~10%; time: 50~55 min, acetonitrile: 90%, pure water: 10%. The chosen chromatographic column was a diamonsil C18 (4.6 × 250 mm, 5 μm), and the temperature was 25 °C, the flow rate was 0.8 mL∙min−1, and the calibration wavelength of the detector was 210 nm.

2.3. Elemental Analysis

A total of 0.4 g of the dried Bupleurum sample was put into a conical flask. A total of 5 mL of concentrated nitric acid was added. Then, the conical flask was placed on a hot plate. The initial temperature was set at 80 °C, and the temperature was gradually increased to 150–180 °C for heating digestion. The digested solution was placed in a water bath to remove acid until the solution was reduced from 5 mL to 1 mL, and the acid removal process was completed. The solution was dissolved in a volumetric flask at a constant volume. It was then passed through a membrane measuring 0.45 μm to achieve the desired sample mixture. The contents of Na, Ca, K, Mg, Mn, Zn, Fe and Cu were determined by ICP-OES (Optima 8000, Perkin Elmer, Waltham, MA, USA) analysis, and the instrument automatically absorbed 3 mL of sample solution on the machine for analysis.

2.4. GC−MS Analysis

The extraction and determination methods were implemented as indicated by Jialin et al. [11]. A total of 60 mg of different plant parts (roots, main branches, lateral branches and flowers) were weighed. An amount of 540 μL of methanol and 60 μL of internal standard were added, respectively. Therewith, 300 μL chloroform and 600 μL water were added, and the above vortex and ultrasonic steps were repeated. Afterwards, 300 μL chloroform and 600 μL water were added, with continuous vortexing and sonicating. Afterwards, centrifugation was carried out at 14,000 rpm for 10 min and evaporation was carried out to dry the supernatant. After evaporation, the sample was dissolved in 400 μL methoxyamine pyridine solution, incubated for 90 min, and the temperature was set at 37 °C. Then, 60 μL Hexane and 400 μL BSTFA were added, vortexed and derivatized. The supernatant was obtained by centrifuging it at a speed of 12,000 rpm for a duration of 5 min. Temperature program: 0~125°C, heating rate 8 °C/min; 125~210 °C, heating rate 4 °C/min; 210~270 °C, heating rate 5 °C/min; 270~305 °C, heating rate 10 °C/min; final 305 °C. The electron impact ion source was always kept at 260 °C, the voltage was constant at 70 V.

2.5. Multivariate Statistical Analysis

Through hierarchical cluster analysis, we normalized each compound’s content value to create a heat map illustrating their relative differences. To assess the differences in biomass and metabolite concentrations among CK, LK, HK, a one-way variance analysis was utilized. After data processing, p < 0.05 and fold changes surpassing 1 indicated statistical relevance, and differentially expressed metabolites were identified by volcanic map. KEGG was used for analysis, and different levels of potassium fertilizer have the most obvious impact on those metabolic pathways. GraphPad Prism 9.0 was used to create the graphs involved. The related paths for visual analysis were drawn through Cytoscape version 3.7.1.

2.6. Experimental Instruments and Reagents

AR2130 electronic balance (Shanghai Shenglong Electronic Technology Co., Ltd., Shanghai, China); Grinding instrument (MM400, Retsch GmbH, Haan, Germany); Milli-Q ultrapure water system (Millipore, Milford, MA, USA); RE532CS rotary evaporator (Shanghai Yalong Biochemical Instrument Factory, Shanghai, China); GL-16W benchtop centrifuge (Hunan Xiangyi Experimental Instrument Development Co., Ltd., Changsha, China); Hitachi High-performance Liquid Chromatograph L-2000 (Hitachi Ltd.). UPLC-QTOF/MS Ultra-high Performance Liquid Chromatography-Quadrupole-Time-of-Flight Mass Spectrometry (Waters, Tokyo, Japan). Standard substances of sodium (Na), potassium (K), calcium (Ca), magnesium (Mg), copper (Cu), zinc [39], iron (Fe) and manganese (Mn) (purity ≥ 98%, Beijing Wanjia Shouhua Biotechnology Co., Ltd., Beijing, China); Standard substances of saikosaponin a, saikosaponin c and saikosaponin d (purity ≥ 98%, Sichuan Mansite Biotechnology Co., Ltd., Pengzhou, China); Potassium fertilizer (Jinan Xinguan Chemical Products Co., Ltd., Jinan, China).

3. Results

3.1. Comparative Analysis of Quality and Traits of Bupleurum Under Different Potassium Levels

When potassium is deficient, the edges of Bupleurum leaves turn yellow, and the leaves curl irregularly, showing a withered state. The roots and stems develop poorly, and the plant’s resistance to diseases and pests weakens (Figure 1).
Figure 2A shows that applying potassium fertilizer to Bupleurum promotes the growth of the main shoots and roots while inhibiting the growth of lateral shoots. Compared with the CK group, the lengths of the main shoots in the LK and HK groups increased by 94.3% and 30.4%, respectively, and the lengths of the roots increased by 12.5% and 26.87%, respectively. The ratio of the plant dry weight (DR) is negatively correlated with the amount of potassium fertilizer applied, following the order of CK > LK > HK. However, the ratio of the dry weight of the underground part to that of the aboveground part of the plant (DSR) is positively correlated with the amount of potassium fertilizer applied, in the order of HK > LK > CK (Figure 2B). Applying potassium fertilizer increases the accumulation of dry matter in the roots and main shoots of Bupleurum while inhibiting the accumulation of dry matter in the lateral shoots and flowers (Figure 2C). Under the LK and HK conditions, the accumulation of dry matter in the roots increased by 38.70% and 18.87%, respectively. Under the LK condition, the accumulation of dry matter in the main shoots increased by 14.29%, while under the HK condition it decreased by 25.71%. Compared with the CK group, the accumulation of dry matter in the lateral shoots in the LK and HK groups decreased by 40.77% and 72.26%, respectively.

3.2. Total Saikosaponins Content Accumulated in Bupleurum Different Tissues Under Three Levels of Potassium Fertilization

According to the standard in the Chinese Pharmacopoeia (2020 Edition) [1], which takes the contents of saikosaponin A and saikosaponin D in the roots of Bupleurum as the evaluation indicators for Bupleurum, in order to further explore the medicinal value of Bupleurum, this study determined the contents of saikosaponin A and saikosaponin D in the lateral shoots, flowers, main shoots and roots of Bupleurum. Additionally, for the first time in this research context, the content of saikosaponin C in each of these plant parts was measured, aiming to further elucidate the full spectrum of medicinal potential harbored within different parts of Bupleurum. The results of the determination of the content of saikosaponins in Bupleurum after applying different levels of potassium fertilizers are shown in Figure 3. The overall trend of the content of saikosaponin A in various parts is LK > HK > CK. The highest content of saikosaponin A in the main shoots of the LK group is 3.116 mg/g, and HK causes the content of saikosaponin A in the roots to decrease to 0.498 mg/g. Therefore, LK promotes the accumulation of saikosaponin A, while HK inhibits the accumulation of saikosaponin A. The overall content trend of saikosaponin D is roots > main shoots > lateral shoots > flower parts. Among them, the highest content of saikosaponin D in the roots of the CK group is 2.093 mg/g. Under the treatment of LK, the content of saikosaponin D in the main shoots is higher, reaching 1.585 mg/g. LK significantly promotes the accumulation of saikosaponin D in the main shoots, while the effect of HK on saikosaponin D is not obvious. The overall trend of the content of saikosaponin C in various parts is CK > HK > LK.

3.3. Overview of the Metabolite Profiles in Response to Three Levels of Potassium Fertilization

In order to reveal the changes of Bupleurum metabolites under different potassium fertilizers, the primary metabolite profiles of Bupleurum growing under different potassium levels were analyzed and identified by GC–MS. A total of seventy-seven metabolites were categorized into eight distinct groups, including twenty-six organic acids, two lipids, nine polyols, seven alkyl groups, twelve sugars, four glycosides, seven amino acids and fifteen additional types (Figure 4A; Table 1). Among these metabolites, the highest proportions accounted for organic acids and derivatives, which was 33.77%, while lipids had the lowest proportion with only 2.6%. According to the accumulation mode of Bupleurum and the relative difference of metabolites, two main clusters were obtained (Figure 4B). The metabolites of cluster Ⅰ have lower abundances in flowers and lateral shoots at both the HK and LK levels. At the CK level, the abundances in all parts are low, while only at the HK and LK levels are the abundances in the main shoots and roots relatively high. Most of the time, the metabolites of cluster Ⅱ preferentially accumulate in flowers and roots, with lower abundances in the main shoots and lateral shoots. At the LK level, the abundances in flowers and lateral shoots are increased, while the abundance in roots is decreased. At the HK level, the abundance in secondary stems is increased. The variation in metabolite levels could indicate that metabolite accumulation varies by organization specificity.
As observed in Figure 5A, the high-potassium group, the low-potassium group, and the control group in the four parts of flowers, main shoots, lateral shoots, and roots can be completely separated. The number of differential metabolites in the two parts of flowers and lateral shoots is greater than that in the main shoots and roots. PLS-DA-R2X(1) explains 24.6% of the characteristics of the metabolites in the flowers of Bupleurum (Figure 5A), and it can be found that the low-potassium group and the high-potassium group in the flowers of Bupleurum are completely separated; PLS-DA-R2X(2) explains 18.1% of the characteristics of the metabolites in the flowers of Bupleurum and the control group is completely separated from the high-potassium and low-potassium groups. For the lateral shoots, PLS-DA-R2X(1) explains 27.2% of the characteristics of the metabolites in the lateral shoots of Bupleurum (Figure 5B), and the low-potassium group and the high-potassium group are completely separated (Figure 5B); PLS-DA-R2X(2) explains 20.1% of the characteristics of the metabolites in the lateral shoots of Bupleurum and the control group is completely separated from the high-potassium and low-potassium groups. Similarly, PLS-DA-R2X(1) can separate the metabolites of the high-potassium group from those of the control group and the low-potassium group in the main stem part (Figure 5C), but the separation between the low-potassium group and the control group is not complete. PLS-DA-R2X(1) explains 19% of the characteristics of the metabolites in the main shoots of Bupleurum. The control group and the high-potassium group are completely separated by PLS-DA-R2X(2), and PLS-DA-R2X(2) explains 16.9% of the characteristics of the metabolites in the main shoots of Bupleurum The low-potassium group and the high-potassium group are completely separated by PLS-DA-R2X(1), which explains 18.5% of the characteristics of the metabolites in the roots of Bupleurum the control group, the low-potassium group, and the high-potassium group are separated by PLS-DA-R2X(2), which explains 18.2% of the characteristics of the metabolites in the roots of Bupleurum (Figure 5D). In this study, the model effects of the flowers, lateral shoots, and roots are all ideal, with Q2 > 0.5, and the difference between R2Y and Q2 is not large, indicating that the model has good predictive ability and can be used for the screening of differential metabolites (Table 2).

3.4. Effect of Potassium Fertilizer Application on Mineral Elements of Bupleurum

The elements in the roots, main shoots and lateral shoots of Bupleurum under different potassium fertilizers were determined to compare the influence of mineral elements’ absorption and transport (Figure 6). After applying potassium fertilizer, the contents of Mg, K, Ca, Mn, and Zn all conformed to the pattern of the LK > HK > CK, and the contents in the roots and lateral shoots were relatively high, while those in the main shoots were relatively low. In terms of the contents of Na and Cu, it was the LK > CK ≥ HK, and the contents were the highest in the roots and lower in the main shoots and lateral shoots. Fe was particularly special. Its contents in the main shoots and lateral shoots hardly changed, but the content in the roots increased with the increase in potassium fertilizer. With the increase in the content of potassium fertilizer, the root distribution ratios of the four elements, namely Ca, Mn, Cu, and Fe, gradually increased, showing a significant positive correlation. The root distribution ratio of Na and K was the lowest in the low-potassium group and the highest in the control group.
The total contribution rate of the principal component PC1 in the main shoot is 75.80% and that of PC2 is 20.18% (Figure 7, Table 3). The factor load of Mg is the largest in PC1, indicating that PC1 mainly reflects the information of the Mg element. The load factor of K in PC2 is the largest, showing a significant negative correlation. Mg (−0.996) and K (−0.797) are the characteristic elements in the main shoot of Bupleurum according to the contribution rate of factors to the total variance and the factor load. The total contribution rate of PC1 and PC2 in the lateral shoot is 88.66% and 10.33% (Figure 4B). Except for Na, the other mineral elements in the lateral shoot accumulated in the positive range, in which the factor load of K, Mg and Cu was the largest in PC1, indicating that PC1 mainly reflected the information of the K, Mg and Cu elements. The load factor of Na in PC2 is the largest, showing a highly positive correlation. K (0.997), Mg (0.997), Cu (0.997) and Na (0.763) are the characteristic elements of the lateral shoot of Bupleurum, according to the contribution rate of the factors. The total contribution rate of PC1 and PC2 in the roots is 77.00% and 22.99%, respectively (Figure 7). The load factor of Zn is the largest in PC1, indicating that PC1 mainly reflects the information of Zn. The factor load of Na in PC2 is the largest, showing a significant positive correlation. Zn (0.998) and Na (0.943) are the characteristic elements in the root of Bupleurum according to the contribution.

3.5. Volcano Diagram and KEGG Enrichment Analysis of Primary Differential Metabolites of Bupleurum

The changes in metabolites were analyzed by fold change (FC) and p-value. The results showed that a total of 18 metabolites significantly changed in HK compared with LK (Figure 8A), of which 6 metabolites were significantly up-regulated (2F, 3R and 1MS) and were concentrated in the flowers, roots and main shoot of Bupleurum. A total of 12 metabolites were significantly down-regulated (6LS, 6F) and were concentrated in the lateral shoots and flowers. In the KEGG enrichment analysis, these significantly different metabolites involved five metabolic pathways, including starch and sucrose metabolism, galactose metabolism, the pentose phosphate pathway, the insulin signaling pathway, galactose metabolism and streptomycin biosynthesis (Figure 8B). Comparing HK with CK, 19 metabolites changed obviously, of which 9 (3 MS, 2 F, 2 R, 2 LS) were down-regulated and 10 (3 F, 1 MS, 2 LS, 4 R) were up-regulated. The variance in the KEGG enrichment categorization with these specific pathways was as follows: glyoxylate and dicarboxyla, galactose metabolism, streptomycin biosynthesis, citrate cycle, reductive carboxylate cycle, insulin pathway (Figure 8C,D). About 23 metabolites had changes when LK compared to CK, with 18 (8 F, 8 LS, 2 R) up-regulated and 5 down-regulated metabolites (3 MS, 1 LS, 1 MS). The metabolic pathways involved above include biosynthesis of phenylpropanoids, the insulin signaling pathway, oxidative phosphorylation, glyoxylate and dicarboxylic acid metabolism, streptomycin biosynthesis, citrate cycle, reductive carboxylate cycle, galactose metabolism, starch and sucrose metabolism (Figure 8E,F). Glycerol, D-glucose, silane and copper phthalocyanine were identified as the key metabolites in response to the application of potassium fertilizer (Figure 8G). These imperative metabolites are mapped into the insulin signaling pathway, streptomycin biosynthesis, galactose metabolism along with other metabolic pathways, which ensure the metabolic regulation of Bupleurum.
The differential metabolites, metal contents and saikosaponins showed corresponding changes in response to different potassium levels. Based on the Pearson correlation coefficient, potassium levels, metal contents, saponin contents and metabolites were imported into Cytoscape to construct a visual network model. All the metabolites in the network are interrelated, and the degree of correlation is indicated by generating lines between relevant nodes (Figure 9). For the LK group, the grid diagram involved 28 positively correlated substances and 36 negatively correlated substances. Among them, it was significantly positively correlated only with the metals Na-R, Ca-MS and Mg-R, but significantly negatively correlated with the metal K. It was significantly negatively correlated with all parts of saikosaponin SSc and SSd-R, and positively correlated with the rest. It was significantly positively correlated with the primary metabolites such as cellobiose, D-glucose, L-rhamnose, sedoheptulose, galactopyranoside, ribitol, Cuminyl alcohol, benzoic acid, lactic acid, silane and bisphenol A monomethyl ether. In the HK grid diagram, there were 39 positively correlated substances and 27 negatively correlated substances. Among them, it was significantly positively correlated with the metals Na-LS, K-LS, Ca-LS and Mg-MS, and the remaining eight pairs were negatively correlated. It was significantly negatively correlated with saikosaponins SSc-MS, SSa-R and SSd, and positively correlated with the rest. It was significantly negatively correlated with 11 primary metabolites and positively correlated with 15 primary metabolites. As for the CK, the grid diagram included 19 positively correlated substances and 24 negatively correlated substances. Among them, it was significantly negatively correlated with the metals K-MS, Ca-LS, K-R, Ca-R and Mg-LS, and the remaining seven were negatively correlated. It was only positively correlated with SSd-F and SSd-R, and negatively correlated with the other 10 saikosaponins. It was significantly negatively correlated with the primary metabolites L-rhamnose, disiloxane and silane, and positively correlated with D-fructose, D-glucose, D-xylose, ribitol and galacturonic acid.

4. Discussion

Potassium plays a crucial role in various aspects of plants, including photosynthesis, signaling molecules, protein synthesis, ionic homeostasis, osmotic regulation, and enzyme activation [30,31]. The deficiency of potassium ions (K⁺) in the soil has been a persistent problem for centuries. Plants have great difficulty in obtaining sufficient potassium from the soil during their growth and development stages, and the potassium content in agricultural soils worldwide is gradually decreasing [40,41]. The rational application of potassium fertilizer can lead to the production of high-quality plant products [42,43,44]. However, due to the relatively slower yield-increasing rate of potassium fertilizer compared with nitrogen and phosphorus fertilizer [45], it has not been fully utilized.
This study shows that low potassium (LK) and high potassium levels significantly promote the growth of the main shoots and roots of Bupleurum, making the main shoots and roots sturdier. However, in the case of potassium deficiency, Bupleurum exhibits poor root and main shoot development, is prone to root rot, and has slender main shoots that are likely to lodge. As a key regulator of carbon metabolism, potassium enhances the transportation of photosynthetic products to sink organs such as roots and main shoots, thereby increasing root biomass and the robustness of main shoots. That is, potassium improves the root–shoot ratio of rhizome plants by enhancing the distribution of carbohydrates [46,47,48]. Under low-potassium and high-potassium levels, the dry matter accumulation in the roots of Bupleurum increases, highlighting the role of potassium in promoting root development. However, the effects of potassium on the dry matter of the main shoots vary. It increases by 14.29% under low-potassium conditions and decreases by 25.71% under high-potassium conditions. It can be seen that the application of potassium fertilizer has a significant impact on the growth and development of medicinal plants, and there is a threshold. Potassium exceeding this threshold will transfer resources from aboveground tissues to the roots. After KCl is dissolved in the soil solution, it will dissociate into potassium ions (K+) and chloride ions (CL), and the roots of plants can absorb the CL in the soil solution. An appropriate amount of chlorine has certain positive effects on plant growth. However, if plants absorb an excessive amount of CL, it may also have negative impacts on them. The potential influence of CL ions is a valuable aspect for future research [49,50].
The regulation of saikosaponins by different potassium levels varies. Low potassium significantly increases the contents of saikosaponin A and saikosaponin D in various parts of the plant, while high potassium inhibits the accumulation of saikosaponin A, C, and D. This indicates a complex interaction between potassium and the biosynthesis of secondary metabolites. Saikosaponins, as the main bioactive components of Bupleurum in traditional Chinese medicine, are synthesized through the triterpenoid pathway, which may be affected by potassium-mediated changes in enzyme activity or precursor supply (such as acetyl-CoA, mevalonic acid). This result is consistent with studies on other medicinal plants, that is, nutrient elements usually regulate the production of secondary metabolites as an adaptive response [51,52,53].
Potassium fertilizer affects the absorption and distribution of mineral elements, showing both synergistic and antagonistic effects. Under low-potassium and high-potassium conditions, the accumulation of magnesium, potassium, calcium, manganese, and zinc in the roots and lateral branches is relatively high, reflecting an improvement in nutrient mobilization. However, with the increase in potassium content, the contents of sodium and calcium in the main shoots and iron in the lateral branches decrease, indicating competitive inhibition at the root membrane, which may be achieved through shared transporters (such as K⁺/Na⁺ antiporters). This antagonistic effect is crucial for ionic homeostasis because excessive sodium or calcium can disrupt the cell’s pH value and enzyme function. The positive correlation between potassium and magnesium/zinc in the roots indicates a synergistic absorption, which may enhance photosynthesis and antioxidant capacity.
GC–MS analysis identified 77 metabolites, among which organic acids, sugars, and polyols were the most abundant categories. KEGG enrichment analysis shows that key metabolites such as D-glucose, glycerol, and silane are related to pathways such as starch/sucrose metabolism, galactose metabolism, and the insulin signaling pathway, which are crucial for energy production, osmotic regulation, and cell wall synthesis. After the application of potassium fertilizer, the contents of organic acids, sugar alcohols, and glycosides in the flowers, lateral shoots, and roots of Bupleurum generally increase, which may be caused by the typical responses of soluble sugars, such as glucose, sucrose, and fructose, to potassium fertilizer. Under low-potassium conditions, the contents of most sugars in the roots and leaves increase significantly. Sucrose accumulates in the leaves first and then is transported from the leaves to the roots in response to nutrient deficiency. Therefore, the more sucrose accumulates under low-potassium conditions, the more conducive it is to root growth [54,55]. The connection between primary metabolites and the accumulation of saikosaponins is closely related to pyruvate, acetyl-CoA, and glyceraldehyde 3-phosphate. High-potassium fertilizer promotes the up-regulation of D-fructose in the roots and flowers of Bupleurum, leading to an increase in the raw materials glyceraldehyde 3-phosphate and pyruvate for the synthesis of saikosaponins. At the same time, the down-regulation of D-glucose reduces the consumption of sucrose and accumulates more D-fructose. In addition, the significant down-regulation of citric acid and succinic acid leads to a decrease in the consumption of acetyl-CoA, resulting in an increase in the accumulation of saikosaponins. Under low-potassium conditions, the up-regulation of D-fructose in the flowers of Bupleurum increases the raw materials glyceraldehyde 3-phosphate and pyruvate for the synthesis of saikosaponins, and the down-regulation of citric acid in the roots reduces the consumption of acetyl-CoA. The relationship between primary metabolites and the accumulation of saikosaponins remains to be further explored.

5. Conclusions

This study provides an empirical basis for balancing the application of potassium fertilizer in the cultivation of Bupleurum to achieve the optimization of both yield and quality. Low potassium levels promote the accumulation of the main medicinal components of Bupleurum, saikosaponin A and saikosaponin D, as well as moderate biomass growth. In contrast, high potassium levels enhance the biomass of the medicinal root part but inhibit the synthesis of key saikosaponins, indicating a trade-off between medicinal quality and yield. In fact, the low-potassium treatment (7.3 kg/ha−1) represents the optimal level, as it can not only increase the dry matter content in the roots and main shoots but also boost the content of saikosaponins. Future research could explore the molecular mechanisms underlying potassium-mediated saponin biosynthesis (such as key enzyme genes and transcription factors) and verify the application effects at the field scale under different soil conditions. This study, for the first time, elucidates the molecular mechanism by which potassium affects the synthesis of saikosaponins in Bupleurum through regulating the flow of primary metabolism, and establishes a four-dimensional regulation model of “potassium level-element distribution-metabolic network-medicinal components”. Integrating transcriptomics and proteomics can further clarify the molecular basis of the dual roles of potassium in primary and secondary metabolism, providing a comprehensive framework for precision fertilization in the cultivation of medicinal plants. In conclusion, this study highlights the crucial role of potassium in regulating the growth, secondary metabolism, and mineral homeostasis of Bupleurum. It offers practical insights into sustainable fertilization strategies to improve both the yield and medicinal quality.

Author Contributions

Data curation and Formal analysis, J.S. Funding acquisition, Z.T.; Methodology, J.S., A.N.; Project administration, Z.T.; Writing—original draft, J.S., J.W., X.L., W.L. and W.M. All authors have read and agreed to the published version of the manuscript.

Funding

The work was financially supported by National Key Research and development Project, Research and demonstration base construction of 30 kinds of authentic medicinal materials for ecological planting (2021YFD1600902), Heilongjiang Province postdoctoral surface project funding (LBH-Z23276), Self-funded Project of Science and Technology Plan of Harbin Science and Technology Bureau (2022ZCZJNS049), Heilongjiang Province Traditional Chinese medicine research project (ZHY2024-143).The APC was funded by 2021YFD1600902.

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, further inquiries can be directed to the corresponding authors.

Acknowledgments

The authors greatly appreciate “Dashan Chinese Herbal Medicine Cooperative, Daqing, Heilongijang”, for providing test fields of Bupleurum. The authors would like to thank the laboratory of Northeast Forestry University, for offering GC–MS instrument.

Conflicts of Interest

The authors declare that they have no conflict of interest. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. Commission, C.P. Pharmacopoeia of the People’s Republic of China; China Medical Science Press: Beijing, China, 2020. [Google Scholar]
  2. Bi, Y.; Li, M.; Wang, Y.; Yao, J.; Wang, Y.; Wang, S.; Zhuang, L.; Liu, S.; Li, Z.; Hao, Z.; et al. Saikosaponins from Bupleurum scorzonerifolium Willd. alleviates microglial pyroptosis in depression by binding and inhibiting P2X7 expression. Phytomedicine 2025, 136, 156240. [Google Scholar] [CrossRef] [PubMed]
  3. Li, S.N.; Bing, Y.F.; Wu, S.; Luo, L.T.; Sun, Z.W.; Li, W.L.; Qu, Z.Y.; Zou, X. Discovery and verification of anti-inflammatory-related quality markers in the aerial part of Bupleurum scorzonerifolium by UPLC-Q-TOF-MS/MS and in RAW 264.7 cells and a zebrafish model. Phytochem. Anal. 2024, 35, 336–349. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, D.Y.; Liang, J.; Zhang, Y.; Kuang, H.X.; Xia, Y.G. Effects of various processed methods on chemical constituents and anti-hepatitis activity of Bupleurum scorzonerifolium Willd. by metabonomics and molecular docking. J. Pharm. Biomed. Anal. 2022, 218, 114837. [Google Scholar] [CrossRef] [PubMed]
  5. Qi, W.; Tuerxun, J.; Li, J.; Wang, C.; Luo, R.; Liu, C. Identification of Bupleurum (Apiaceae) seeds by allele-specific PCR based on ITS sequences. 3 Biotech 2020, 10, 240. [Google Scholar] [CrossRef]
  6. Liu, R.; Liu, H.; Wang, T.; Wang, T.; Lu, Z.; Yuan, X.; Song, Z.; Li, R. Sustainability of Maize–Soybean Rotation for Future Climate Change Scenarios in Northeast China. J. Agron. Crop Sci. 2025, 211, e70033. [Google Scholar] [CrossRef]
  7. Ma, X.; Hao, X.; Zhao, Y.; Peng, X.; Ji, J.; Liu, S.; Zheng, Y.; Sun, L.; Zhou, B. Response of Crop Yield and Productivity Contribution Rate to Long-Term Different Fertilization in Northeast of China. Plants 2025, 14, 132. [Google Scholar] [CrossRef]
  8. Li, J.; Han, T.; Liu, K.; Shen, Z.; Daba, N.A.; Tadesse, K.A.; Khan, M.N.; Shah, A.; Wang, Z.; Zhang, H. Optimizing potassium and nitrogen fertilizer strategies to mitigate greenhouse gas emissions in global agroecosystems. Sci. Total Environ. 2024, 916, 170270. [Google Scholar] [CrossRef]
  9. Bernstein, N.; Gorelick, J.; Zerahia, R.; Koch, S. Impact of N, P, K, and Humic Acid Supplementation on the Chemical Profile of Medical Cannabis (Cannabis sativa L). Front. Plant Sci. 2019, 10, 736. [Google Scholar] [CrossRef]
  10. Sun, J.; Duan, Z.; Zhang, Y.; Cao, S.; Tang, Z.; Abozeid, A. Metabolite Profiles Provide Insights into Underlying Mechanism in Bupleurum (Apiaceae) in Response to Three Levels of Phosphorus Fertilization. Plants 2022, 11, 752. [Google Scholar] [CrossRef]
  11. Sun, J.; Li, W.; Zhang, Y.; Guo, Y.; Duan, Z.; Tang, Z.; Abozeid, A. Metabolomics Analysis Reveals Potential Mechanisms in Bupleurum L. (Apiaceae) Induced by Three Levels of Nitrogen Fertilization. Agronomy 2021, 11, 2291. [Google Scholar] [CrossRef]
  12. Hmidi, D.; Muraya, F.; Fizames, C.; Véry, A.A.; Roelfsema, M.R.G. Potassium extrusion by plant cells: Evolution from an emergency valve to a driver of long-distance transport. New Phytol. 2025, 245, 69–87. [Google Scholar] [CrossRef] [PubMed]
  13. Li, K.; Grauschopf, C.; Hedrich, R.; Dreyer, I.; Konrad, K.R. K+ and pH homeostasis in plant cells is controlled by a synchronized K+/H+ antiport at the plasma and vacuolar membrane. New Phytol. 2024, 241, 1525–1542. [Google Scholar] [CrossRef] [PubMed]
  14. Cotelle, V.; Leonhardt, N. 14-3-3 Proteins in Guard Cell Signaling. Front. Plant Sci. 2015, 6, 1210. [Google Scholar] [CrossRef] [PubMed]
  15. Blatt, M.R. Plant Physiology: Redefining the Enigma of Metabolism in Stomatal Movement. Curr. Biol. 2016, 26, R107–R109. [Google Scholar] [CrossRef]
  16. Liu, B.K.; Xv, B.J.; Si, C.C.; Shi, W.Q.; Ding, G.Z.; Tang, L.X.; Xv, M.; Shi, C.Y.; Liu, H.J. Effect of potassium fertilization on storage root number, yield, and appearance quality of sweet potato (Ipomoea batatas L.). Front. Plant Sci. 2023, 14, 1298739. [Google Scholar] [CrossRef]
  17. Osakabe, Y.; Arinaga, N.; Umezawa, T.; Katsura, S.; Nagamachi, K.; Tanaka, H.; Ohiraki, H.; Yamada, K.; Seo, S.U.; Abo, M.; et al. Osmotic stress responses and plant growth controlled by potassium transporters in Arabidopsis. Plant Cell 2013, 25, 609–624. [Google Scholar] [CrossRef]
  18. Liu, Z.; Persson, S.; Sánchez-Rodríguez, C. At the border: The plasma membrane-cell wall continuum. J. Exp. Bot. 2015, 66, 1553–1563. [Google Scholar] [CrossRef]
  19. Nieves-Cordones, M.; Andrianteranagna, M.; Cuéllar, T.; Chérel, I.; Gibrat, R.; Boeglin, M.; Moreau, B.; Paris, N.; Verdeil, J.L.; Zimmermann, S.; et al. Characterization of the grapevine Shaker K+ channel VvK3.1 supports its function in massive potassium fluxes necessary for berry potassium loading and pulvinus-actuated leaf movements. New Phytol. 2019, 222, 286–300. [Google Scholar] [CrossRef]
  20. Anil Kumar, S.; Kaniganti, S.; Hima Kumari, P.; Sudhakar Reddy, P.; Suravajhala, P.; P, S.; Kishor, P.B.K. Functional and biotechnological cues of potassium homeostasis for stress tolerance and plant development. Biotechnol. Genet. Eng. Rev. 2024, 40, 3527–3570. [Google Scholar] [CrossRef]
  21. Lefoulon, C. The bare necessities of plant K+ channel regulation. Plant Physiol. 2021, 187, 2092–2109. [Google Scholar] [CrossRef]
  22. Wang, Y.; Wu, W.H. Potassium transport and signaling in higher plants. Annu. Rev. Plant Biol. 2013, 64, 451–476. [Google Scholar] [CrossRef] [PubMed]
  23. Lyzenga, W.J.; Liu, Z.; Olukayode, T.; Zhao, Y.; Kochian, L.V.; Ham, B.K. Getting to the roots of N, P, and K uptake. J. Exp. Bot. 2023, 74, 1784–1805. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, Y.; Wu, W.H. Plant sensing and signaling in response to K+-deficiency. Mol. Plant 2010, 3, 280–287. [Google Scholar] [CrossRef] [PubMed]
  25. Bashir, A.; Khan, Q.U.; Alem, A.; Hendi, A.A.; Zaman, U.; Khan, S.U.; Rehman, K.U.; Khan, A.A.; Ullah, I.; Anwar, Y.; et al. Zinc and Potassium Fertilizer Synergizes Plant Nutrient Availability and Affects Growth, Yield, and Quality of Wheat Genotypes. Plants 2023, 12, 2241. [Google Scholar] [CrossRef]
  26. Santos, E.F.; Mateus, N.S.; Rosário, M.O.; Garcez, T.B.; Mazzafera, P.; Lavres, J. Enhancing potassium content in leaves and stems improves drought tolerance of eucalyptus clones. Physiol. Plant 2021, 172, 552–563. [Google Scholar] [CrossRef]
  27. Du, X.Q.; Wang, F.L.; Li, H.; Jing, S.; Yu, M.; Li, J.; Wu, W.H.; Kudla, J.; Wang, Y. The Transcription Factor MYB59 Regulates K+/NO3 Translocation in the Arabidopsis Response to Low K+ Stress. Plant Cell 2019, 31, 699–714. [Google Scholar] [CrossRef]
  28. Yang, L.; Qiao, L.; Su, X.; Ji, B.; Dong, C. Drought Stress Stimulates the Terpenoid Backbone and Triterpenoid Biosynthesis Pathway to Promote the Synthesis of Saikosaponin in Bupleurum chinense DC. Roots. Molecules 2022, 27, 5470. [Google Scholar] [CrossRef]
  29. Feng, X.; Sun, Y.; Fan, Y.; Zhang, Q.; Bu, X.; Gao, D. Integrated physiological, transcriptomics and metabolomics analysis revealed the molecular mechanism of Bupleurum chinense seedlings to drought stress. PLoS ONE 2024, 19, e0304503. [Google Scholar] [CrossRef]
  30. Yang, L.L.; Yang, L.; Yang, X.; Zhang, T.; Lan, Y.M.; Zhao, Y.; Han, M.; Yang, L.M. Drought stress induces biosynthesis of flavonoids in leaves and saikosaponins in roots of Bupleurum chinense DC. Phytochemistry 2020, 177, 112434. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Zhou, Z.Y.; Xia, P.G.; Liang, Z.S.; Liu, S.L.; Liu, Z.L. Expression of key enzyme genes and content of saikosaponin in saikosaponin biosynthesis under drought stress in Bupleurum chinense. Zhongguo Zhong Yao Za Zhi 2016, 41, 643–647. [Google Scholar] [CrossRef]
  32. Qu, X.; Hu, S.; Li, T.; Zhang, J.; Wang, B.; Liu, C. Metabolomics Analysis Reveals the Differences Between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd. Front. Plant Sci. 2022, 13, 933849. [Google Scholar] [CrossRef] [PubMed]
  33. Fan, Y.; Shen, W.-y.; Vanessa, P.; Cheng, F.-q. Synergistic effect of Si and K in improving the growth, ion distribution and partitioning of Lolium perenne L. under saline-alkali stress. J. Integr. Agric. 2021, 20, 1660–1673. [Google Scholar] [CrossRef]
  34. Thor, K. Calcium-Nutrient and Messenger. Front. Plant Sci. 2019, 10, 440. [Google Scholar] [CrossRef]
  35. Tang, R.-J.; Luan, S. Rhythms of magnesium. Nat. Plants 2020, 6, 742–743. [Google Scholar] [CrossRef]
  36. Hanikenne, M.; Bouché, F. Iron and zinc homeostasis in plants: A matter of trade-offs. J. Exp. Bot. 2023, 74, 5426–5430. [Google Scholar] [CrossRef]
  37. Mishra, B.; McDonald, L.M.; Roy, M.; Lanzirotti, A.; Myneni, S.C.B. Uptake and speciation of zinc in edible plants grown in smelter contaminated soils. PLoS ONE 2020, 15, e0226180. [Google Scholar] [CrossRef]
  38. Mohamad, O.A.A.; Liu, Y.H.; Huang, Y.; Kuchkarova, N.; Dong, L.; Jiao, J.Y.; Fang, B.Z.; Ma, J.B.; Hatab, S.; Li, W.J. Metabonomic analysis to identify exometabolome changes underlying antifungal and growth promotion mechanisms of endophytic Actinobacterium Streptomyces albidoflavus for sustainable agriculture practice. Front. Microbiol. 2024, 15, 1439798. [Google Scholar] [CrossRef]
  39. Guo, K.; Pyšek, P.; van Kleunen, M.; Kinlock, N.L.; Lučanová, M.; Leitch, I.J.; Pierce, S.; Dawson, W.; Essl, F.; Kreft, H.; et al. Plant invasion and naturalization are influenced by genome size, ecology and economic use globally. Nat. Commun. 2024, 15, 1330. [Google Scholar] [CrossRef]
  40. Guo, K.; Li, D.; Li, Y.; Wang, X.; Wang, C.; Zhu, Y.; Wu, C.; Hu, Z. Maize DLR1/NHX7 Is Required for Root Development Under Potassium Deficiency. Plant Cell Environ. 2024, 48, 1329–1343. [Google Scholar] [CrossRef]
  41. Trivedi, K.; Kubavat, D.; Ghara, K.K.; Kumar, R.; Trivedi, H.; Anand, K.G.V.; Maiti, P.; Ghosh, A. Evaluation of Fertilizer Potential of Different K Compounds Prepared Utilizing Sea Bittern as Feed Stock. Front. Plant Sci. 2017, 8, 1541. [Google Scholar] [CrossRef]
  42. Jiang, W.; Wang, X.; Xing, Y.; Liu, X.; Cui, Z.; Yang, L. Enhancing Rice Production by Potassium Management: Recommended Reasonable Fertilization Strategies in Different Inherent Soil Productivity Levels for a Sustainable Rice Production System. Sustainability 2019, 11, 6522. [Google Scholar] [CrossRef]
  43. Danchin, A.; Nikel, P.I. Why Nature Chose Potassium. J. Mol. Evol. 2019, 87, 271–288. [Google Scholar] [CrossRef] [PubMed]
  44. Britto, D.T.; Coskun, D.; Kronzucker, H.J. Potassium physiology from Archean to Holocene: A higher-plant perspective. J. Plant Physiol. 2021, 262, 153432. [Google Scholar] [CrossRef] [PubMed]
  45. Cong, R.; Li, H.; Zhang, Z.; Ren, T.; Li, X.; Lu, J. Evaluate regional potassium fertilization strategy of winter oilseed rape under intensive cropping systems: Large-scale field experiment analysis. Field Crops Res. 2016, 193, 34–42. [Google Scholar] [CrossRef]
  46. Ezui, K.S.; Franke, A.C.; Mando, A.; Ahiabor, B.D.K.; Tetteh, F.M.; Sogbedji, J.; Janssen, B.H.; Giller, K.E. Fertiliser requirements for balanced nutrition of cassava across eight locations in West Africa. Field Crops Res. 2016, 185, 69–78. [Google Scholar] [CrossRef]
  47. Yousef, A.F.; Ali, A.M.; Azab, M.A.; Lamlom, S.F.; Al-Sayed, H.M. Improved plant yield of potato through exogenously applied potassium fertilizer sources and biofertilizer. AMB Express 2023, 13, 124. [Google Scholar] [CrossRef]
  48. Sui, N.; Wang, L.; Sun, J.; Wu, J.; Chen, M.; Zhang, S.; Yuan, Q.; Kai, G. Estimating Fritillaria thunbergii Miq. yield, quality, and potassium use efficiency in response to potassium application rate. Ind. Crops Prod. 2021, 164, 113409. [Google Scholar] [CrossRef]
  49. Maron, L. From foe to friend: The role of chloride as a beneficial macronutrient. Plant J. 2019, 99, 813–814. [Google Scholar] [CrossRef]
  50. Colmenero-Flores, J.M.; Franco-Navarro, J.D.; Cubero-Font, P.; Peinado-Torrubia, P.; Rosales, M.A. Chloride as a Beneficial Macronutrient in Higher Plants: New Roles and Regulation. Int. J. Mol. Sci. 2019, 20, 4686. [Google Scholar] [CrossRef]
  51. Fan, Y.; Xu, E.; Wang, G.; He, D.; Ma, J.; Liu, Y.; Li, X.; Luo, A. Transcriptional and Physiological Analysis Reveal New Insights into the Regulation of Fertilization (N, P, K) on the Growth and Synthesis of Medicinal Components of Dendrobium denneanum. Int. J. Mol. Sci. 2023, 24, 1522. [Google Scholar] [CrossRef]
  52. Müller, V.; Lankes, C.; Zimmermann, B.F.; Noga, G.; Hunsche, M. Centelloside accumulation in leaves of Centella asiatica is determined by resource partitioning between primary and secondary metabolism while influenced by supply levels of either nitrogen, phosphorus or potassium. J. Plant Physiol. 2013, 170, 1165–1175. [Google Scholar] [CrossRef] [PubMed]
  53. Rawat, J.; Saxena, J.; Sanwal, P.; Maddela, N.R.; Nain, L.; Prasad, R. Improving the Growth and Productivity of Macrotyloma uniflorum Medicinal Plant by the Co-inoculation of P, Zn and K-Solubilizing Fungi Under Field Conditions. Curr. Microbiol. 2023, 80, 277. [Google Scholar] [CrossRef] [PubMed]
  54. Hao, Y.; Lei, J.; Wu, X.; Wu, L.; Jiang, C. Photosynthate transport rather than photosynthesis rate is critical for low potassium adaptation of two cotton genotypes. Acta Agric. Scand. Sect. B—Soil Plant Sci. 2015, 66, 170–177. [Google Scholar] [CrossRef]
  55. Jidong, W.; Zhu, G.; Dong, Y.; Zhang, H.; Rengel, Z.; Ai, Y.; Zhang, Y. Potassium starvation affects biomass partitioning and sink–source responses in three sweet potato genotypes with contrasting potassium-use efficiency. Crop Pasture Sci. 2018, 69, 506–514. [Google Scholar] [CrossRef]
Figure 1. Appearance and morphology of Bupleurum before and after applying potassium fertilization. (A): control group (CK), (B): low-potassium group (LK), (C): high-potassium group [38].
Figure 1. Appearance and morphology of Bupleurum before and after applying potassium fertilization. (A): control group (CK), (B): low-potassium group (LK), (C): high-potassium group [38].
Biology 14 00452 g001
Figure 2. Growth performance and dry matter quality of Bupleurum under different levels of potassium fertilizer. (A) The length of each plant part of Bupleurum. (B) The drying rate and ratio of roots to shoot drying weight of Bupleurum. (C) Effect of K+ level on dry matter quality of Bupleurum. CK: control potassium group, LK: low-potassium group and HK: high-potassium group. F: flowers, MS: main shoots, R: roots, and LS: lateral shoots. PL: length of each part of the plant, FW: fresh weight of each plant parts, DR: The ratio of the weight of plants after drying to the weight before drying, DSR: Ratio of dry weight of underground part to aboveground part of plant. p < 0.05 and p < 0.01 were indicated by * and **.
Figure 2. Growth performance and dry matter quality of Bupleurum under different levels of potassium fertilizer. (A) The length of each plant part of Bupleurum. (B) The drying rate and ratio of roots to shoot drying weight of Bupleurum. (C) Effect of K+ level on dry matter quality of Bupleurum. CK: control potassium group, LK: low-potassium group and HK: high-potassium group. F: flowers, MS: main shoots, R: roots, and LS: lateral shoots. PL: length of each part of the plant, FW: fresh weight of each plant parts, DR: The ratio of the weight of plants after drying to the weight before drying, DSR: Ratio of dry weight of underground part to aboveground part of plant. p < 0.05 and p < 0.01 were indicated by * and **.
Biology 14 00452 g002
Figure 3. (AC) Saikosaponin a, c, and d content under different levels of potassium fertilizer. (D) Percentage of saikosaponin a, c, and d in different organs of Bupleurum under different levels of potassium fertilizer. p < 0.05, p < 0.01 and p < 0.001 were indicated by *, ** and ***.
Figure 3. (AC) Saikosaponin a, c, and d content under different levels of potassium fertilizer. (D) Percentage of saikosaponin a, c, and d in different organs of Bupleurum under different levels of potassium fertilizer. p < 0.05, p < 0.01 and p < 0.001 were indicated by *, ** and ***.
Biology 14 00452 g003
Figure 4. (A) Proportion of 77 metabolites of Bupleurum. (B) Cluster analysis thermogram of metabolites of Bupleurum under different K+ levels. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. Red and blue represent down-regulated and up-regulated metabolites in turn. Beige color: abundance was 0.
Figure 4. (A) Proportion of 77 metabolites of Bupleurum. (B) Cluster analysis thermogram of metabolites of Bupleurum under different K+ levels. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. Red and blue represent down-regulated and up-regulated metabolites in turn. Beige color: abundance was 0.
Biology 14 00452 g004
Figure 5. Score diagram of the metabolites of Bupleurum in flowers, lateral shoots, main shoots and roots. ◆, ▲, ★, ● represent F, LS, MS, R; red, blue and green represent HP group, LP group and CP group, respectively. (A) Score diagram of the metabolites of Bupleurum in root; (B) Score diagram of the metabolites of Bupleurum in main shoot; (C) Score diagram of the metabolites of Bupleurum in Lateral shoot; (D) Score diagram of the metabolites of Bupleurum in flower.
Figure 5. Score diagram of the metabolites of Bupleurum in flowers, lateral shoots, main shoots and roots. ◆, ▲, ★, ● represent F, LS, MS, R; red, blue and green represent HP group, LP group and CP group, respectively. (A) Score diagram of the metabolites of Bupleurum in root; (B) Score diagram of the metabolites of Bupleurum in main shoot; (C) Score diagram of the metabolites of Bupleurum in Lateral shoot; (D) Score diagram of the metabolites of Bupleurum in flower.
Biology 14 00452 g005
Figure 6. Effect of different K+ level on mineral elements in different organs of Bupleurum. (A) Na; (B) K; (C) Ca; (D) Mg; (E) Mn; (F) Cu; (G) Zn; (H) Fe. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. R: roots, MS: main shoots, and LS: lateral shoots.
Figure 6. Effect of different K+ level on mineral elements in different organs of Bupleurum. (A) Na; (B) K; (C) Ca; (D) Mg; (E) Mn; (F) Cu; (G) Zn; (H) Fe. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. R: roots, MS: main shoots, and LS: lateral shoots.
Biology 14 00452 g006
Figure 7. Diagram of principal component contribution rate and load matrix of mineral elements under different levels of potassium fertilizer. PC1: first principal component analysis, PC2: second principal component analysis. Yellow and purple represent higher and lower contribution rate, respectively. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. R: roots, MS: main shoots, LS: lateral shoots.
Figure 7. Diagram of principal component contribution rate and load matrix of mineral elements under different levels of potassium fertilizer. PC1: first principal component analysis, PC2: second principal component analysis. Yellow and purple represent higher and lower contribution rate, respectively. CK: control potassium group, LK: low-potassium group, HK: high-potassium group. R: roots, MS: main shoots, LS: lateral shoots.
Biology 14 00452 g007
Figure 8. Differential metabolite volcano plots and KEGG enrichment analysis plots. Red represents a significant up-regulation of metabolites under high potassium, and green represents a significant down-regulation under high potassium; ▼, ▲, ■, ● represent R, MS, LS and F. The p represents the degree of enrichment. Dots represent differential metabolites, and the size is positively correlated with the quantity; (A,B) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between HK and LK; (C,D) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between HK and CK; (E,F) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between LK and CK; (G) Venn diagram of metabolites.
Figure 8. Differential metabolite volcano plots and KEGG enrichment analysis plots. Red represents a significant up-regulation of metabolites under high potassium, and green represents a significant down-regulation under high potassium; ▼, ▲, ■, ● represent R, MS, LS and F. The p represents the degree of enrichment. Dots represent differential metabolites, and the size is positively correlated with the quantity; (A,B) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between HK and LK; (C,D) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between HK and CK; (E,F) Volcano plot of differential metabolites and KEGG enrichment analysis plot for the comparison between LK and CK; (G) Venn diagram of metabolites.
Biology 14 00452 g008
Figure 9. Correlation-based network analysis among potassium fertilizer, saikosaponins, metal elements and differential metabolites. All substances are represented by circles, in which the blue node represents potassium fertilizer, the green node represents primary metabolites, the yellow node represents metal elements, and the orange node represents the content of saikosaponins in different parts. Pearson coefficient is used to encode the correlation. The positive correlation and negative correlation are represented by a straight line and a dotted line. The thickness of the line means the distance of correlation.
Figure 9. Correlation-based network analysis among potassium fertilizer, saikosaponins, metal elements and differential metabolites. All substances are represented by circles, in which the blue node represents potassium fertilizer, the green node represents primary metabolites, the yellow node represents metal elements, and the orange node represents the content of saikosaponins in different parts. Pearson coefficient is used to encode the correlation. The positive correlation and negative correlation are represented by a straight line and a dotted line. The thickness of the line means the distance of correlation.
Biology 14 00452 g009
Table 1. Classification of 77 metabolites of Bupleurum after applying potassium fertilization.
Table 1. Classification of 77 metabolites of Bupleurum after applying potassium fertilization.
ClassificationMetabolitesClassificationMetabolites
Sugars (12)α-MannobioseOrganic acids and
Derivatives (26)
Galactaric acid
ArabinofuranoseAminocyclopentanecarboxylic acid
d-CellobioseAminobutanoic acid
d-FructoseFeruloylquinic acid
d-GlucoseBenzoic acid
d-XyloseButanedioic acid
LactoseCaffeic acid
LevoglucosanButanoic acid
l-RhamnoseChlorogenic acid
SedoheptuloseCitric acid
SucroseGallic acid
d-MannoseGlyceric acid
Glycosides (4)β-d-GalactofuranosideIsophthalic acid
α-d-GalactopyranosideLactic acid
α-d-GlucopyranosideMalic acid
α-d-LyxofuranosidePalmitic acid
Polyols (9)d-MannitolPentanedioic acid
ErythritolPropanedioic acid
RibitolProtocatechoic acid
InositolQuininic acid
EthenediolStearic acid
BenzenediolSuccinic acid
Cuminyl alcoholSulfurous acid
Benzylaminooctanol2-Butenedioic acid
Silanol2-Propenoic acid
Amino acid and
Derivatives (7)
l-5-OxoprolinePhosphoric acid
ValineLipids and
Derivatives (2)
Glycerol
ButylamineGlycerol monostearate
Androst-2-en-17-amineOthers (10)Cyclohexene
EthanolamineHeptabarbital
UreaMonopalmitin
Copper phthalocyanineBenzene
Alkyl (7)DecaneEther
DisiloxaneIsoquinolinium
HeptanePhenol
NonaneGalactose oxime
SilaneMethyl benzoate
TrisiloxaneCarbamate
Silatrane
Table 2. PLS-DA model parameters of Bupleurum GC–MS data after potassium application.
Table 2. PLS-DA model parameters of Bupleurum GC–MS data after potassium application.
R2X (cum)R2Y (cum)Q2 (cum)R2Y-Q2
PLS-DA (F)0.427 0.814 0.2730.541
PLS-DA (LS)0.5980.9340.5500.384
PLS-DA (MS)0.1900.422−0.0060.481
PLS-DA (R)0.7130.9990.8790.120
Q2 (cum): Evaluate the prediction ability of the model through cross-validation and measure the prediction accuracy of the model for new data. The closer the value is to 1, the stronger the prediction ability of the model. Generally, Q2 > 0.5 indicates that the model has good prediction ability. R2Y-Q2: This value can reflect whether there is overfitting phenomenon in the model; if the value is small, the fitting effect and prediction ability of the model are more balanced.
Table 3. Contribution rate and load matrix of mineral elements under different levels of potassium fertilizer.
Table 3. Contribution rate and load matrix of mineral elements under different levels of potassium fertilizer.
MSPC1PC2LSPC1PC2RPC1PC2
Na0.979−0.186Na−0.6310.763Na−0.1370.991
K−0.604−0.797K0.9970.080K0.9240.383
Ca−0.8500.516Ca0.9800.193Ca0.989−0.145
Mg−0.996−0.046Mg0.9970.079Mg0.9900.139
Mn−0.8190.562Mn0.993−0.081Mn0.970−0.244
Cu−0.8270.199Cu0.997−0.011Cu0.7480.663
Zn−0.943−0.324Zn0.8950.409Zn0.994−0.106
Fe−0.884−0.466Fe0.983−0.143Fe0.916−0.400
Total variation explained75.80%20.18% 88.66%10.33% 77.00%22.99%
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sun, J.; Wu, J.; Nasr, A.; Tang, Z.; Liu, W.; Liu, X.; Ma, W. Metabonomics Analysis Reveals the Influence Mechanism of Three Potassium Levels on the Growth, Metabolism and Accumulation of Medicinal Components of Bupleurum scorzonerifolium Willd. (Apiaceae). Biology 2025, 14, 452. https://doi.org/10.3390/biology14050452

AMA Style

Sun J, Wu J, Nasr A, Tang Z, Liu W, Liu X, Ma W. Metabonomics Analysis Reveals the Influence Mechanism of Three Potassium Levels on the Growth, Metabolism and Accumulation of Medicinal Components of Bupleurum scorzonerifolium Willd. (Apiaceae). Biology. 2025; 14(5):452. https://doi.org/10.3390/biology14050452

Chicago/Turabian Style

Sun, Jialin, Jianhao Wu, Alyaa Nasr, Zhonghua Tang, Weili Liu, Xiubo Liu, and Wei Ma. 2025. "Metabonomics Analysis Reveals the Influence Mechanism of Three Potassium Levels on the Growth, Metabolism and Accumulation of Medicinal Components of Bupleurum scorzonerifolium Willd. (Apiaceae)" Biology 14, no. 5: 452. https://doi.org/10.3390/biology14050452

APA Style

Sun, J., Wu, J., Nasr, A., Tang, Z., Liu, W., Liu, X., & Ma, W. (2025). Metabonomics Analysis Reveals the Influence Mechanism of Three Potassium Levels on the Growth, Metabolism and Accumulation of Medicinal Components of Bupleurum scorzonerifolium Willd. (Apiaceae). Biology, 14(5), 452. https://doi.org/10.3390/biology14050452

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

Article Metrics

Back to TopTop