Skip to main content

ORIGINAL RESEARCH article

Front. Plant Sci., 25 September 2024
Sec. Plant Nutrition

Effect of copper on nitrogen uptake, transportation, assimilation processes, and related gene expression in Chinese cabbage [Brassica campestris L. ssp. Chinensis (L.)] under various nitrate-to-ammonium ratios

Xin Wen,,*Xin Wen1,2,3*Peiran Xu&#x;Peiran Xu3†Yafang Tang&#x;Yafang Tang3†Hang ZhongHang Zhong3Pan ChenPan Chen3Zhenhao ZhuZhenhao Zhu3Xinya ZhangXinya Zhang3Xiaohui ZhangXiaohui Zhang3Aoran DuAoran Du4
  • 1Zhejiang Ecological Civilization Academy, Anji, Zhejiang, China
  • 2College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang, China
  • 3Hubei Key Laboratory of Quality Control of Characteristic Fruits and Vegetables, Hubei Engineering University, Xiaogan, Hubei, China
  • 4School of Management, Minzu University of China, Beijing, China

Improving vegetable yield and optimizing its quality through nutrient management have long been central to plant nutrition and horticultural science. Copper (Cu) is recognized as an essential trace element that promotes plant growth and development. However, the mechanisms by which Cu influences nitrogen (N) metabolism remain largely unknown, with limited studies exploring the interaction between Cu and varying nitrate-to-ammonium (nitrate/ammonium) ratios. In this study, Chinese cabbage was exposed to two Cu concentrations (0 and 0.02 mg L-1) in combination with three nitrate/ammonium ratios (10/90, 50/50, and 90/10) under hydroponic conditions. The results showed that Cu application increased plant biomass, nitrate reductase (NR) and glutamine synthetase (GS) enzyme activities, the expression of NR (NIA) and GS2 (Gln2) genes, and N content in both shoots and roots. Additionally, Cu treatment decreased nitrate and free amino acid contents, as well as the expression of nitrate transporters NRT1.1 and NRT2.1 in roots while increasing these four parameters in shoots. Additionally, these effects were significantly modulated by the nitrate/ammonium ratios. In conclusion, Cu may facilitate nitrate transportation, enhance nitrate reduction, promote ammonium assimilation, and influence the transformation of organic N compounds, highlighting its potential role in improving N metabolism in Chinese cabbage.

1 Introduction

Nitrogen (N) is a key driver of crop growth and development, playing a vital role in plant physiology and ecosystem functioning (Schulte-Uebbing et al., 2022; Tegeder and Masclaux-Daubresse, 2018; Moreau et al., 2019). In higher plants, nitrate and ammonium are the primary inorganic N sources. Once absorbed by roots, nitrate undergoes sequential reduction to ammonium via nitrate reductase (NR) and nitrite reductase (NiR). Ammonium is then assimilated into organic N through the glutamine synthetase-glutamate synthase (GS-GOGAT) cycle (Liu et al., 2022). The forms of available N significantly influence plant growth and nutrient absorption (Hernández Pérez et al., 2021). Most plants typically prefer nitrate as their N source, although they can absorb ammonium when nitrate is scarce (Naseri et al., 2022). However, high ammonium concentrations as the primary N source can induce toxicity, leading to fewer leaves, impaired root development, and reduced yield. Conversely, while nitrate promotes higher crop yields, it may cause nitrate accumulation in nitrate-preferring crops, especially leafy vegetables, potentially exceeding permissible limits (Luo et al., 2022). Thus, a balanced mixture of nitrate and ammonium is often recommended as an optimized N fertilization strategy. Compared to a single N source, an appropriate nitrate-to-ammonium (nitrate/ammonium) ratio significantly increases biomass in Chinese kale (Zhu et al., 2018), enhances soluble sugar, vitamin C, and soluble protein content in flowering Chinese cabbage (Song et al., 2017; Zhu et al., 2021), improves morphophysiological traits and phytochemical compounds in Moldavian balm (Naseri et al., 2022), alleviates heavy metal toxicity in grasses (de Souza Junior et al., 2018), and enhances cold stress resistance in tomato seedlings (Liu et al., 2017).

Copper (Cu) is an essential trace element for higher plants. It reportedly promotes carbohydrate metabolism (Ameh and Sayes, 2019) and is a key component of plastocyanin, which facilitates electron transfer in chloroplasts and mitochondria (Aguirre and Pilon, 2016). Cu also contributes to protein synthesis and transport (Ghazaryan et al., 2019), catalyzes redox reactions within plant cells (Da et al., 2019), and functions as a component or cofactor for numerous important enzymes (Zunaira et al., 2020). These physiological functions are closely linked to plant N metabolism, particularly in nitrate reduction. Cu is involved in the biogenesis of the molybdenum cofactor (Moco), a crucial component of NR, which maintains the enzyme’s spatial stability and functional efficacy (Kaur et al., 2023). Additionally, cytochrome c (Cyt c) oxidase, a Cu transport protein, participates in the electron transfer process where NR utilizes electrons from NAD(P)H to reduce acceptors like Cyt c (Chamizo-Ampudia et al., 2017). Carbohydrates produced during photosynthesis can induce the expression of NR-encoding genes (Xiong et al., 2006). Furthermore, plastocyanin, a Cu-containing protein, is integral to photosynthetic electron transfer (Zunaira et al., 2020). Numerous studies demonstrated that applying appropriate Cu concentrations regulates key N assimilation enzymes (Hristozkova et al., 2007), enhances symbiotic N fixation, and elevates nitrogenous metabolites like proteins and amino acids (Mazen, 2004; Xiong et al., 2006), thus increasing plant N content and accumulation (Seliga, 1995; Phan et al., 2009; Alhasany et al., 2019). However, few studies have explicitly determined which N form or nutritional ratio underlies these effects. The interaction between Cu and nitrate/ammonium ratio in higher plant growth has received limited attention, with available studies focusing on Cu pollution and toxicity (de Souza Junior et al., 2018). Consequently, research is lacking on the efficacy of combining optimal Cu concentrations with nitrate/ammonium nutritional ratios on higher plant growth and N metabolism.

Existing studies on the influence of Cu on plant N metabolism have primarily examined N component levels, metabolic products, and related enzyme activities. However, as plant growth, development, and nutritional responses are mediated through differential gene expression, exploring the nutritional functions of Cu in processes such as nitrate transport and reduction, and ammonium assimilation, from a gene expression perspective is essential. NRT1.1 and NRT2.1, members of the low-affinity and high-affinity nitrate transporter families, respectively (Fan et al., 2017), function in nitrate transport at external nitrate concentration of > 0.5 mM and < 0.5 mM (Tsay et al., 2007; Miller et al., 2009). In Arabidopsis roots, AtNRT1.1 and AtNRT2.1 expression levels are strongly induced by nitrate (Okamoto et al., 2003). NIA, a key gene encoding the rate-limiting enzyme NR in nitrate reduction, is induced by carbohydrates, light, and nitrate, but inhibited by metabolic products like glutamine and other amino acids (Chamizo-Ampudia et al., 2017; Sun et al., 2018). The Gln1 and Gln2 gene families encode two GS isoforms with distinct subcellular localizations: cytosolic GS1 (three to five genes, species-dependent, e.g., AtGLN1.1-1.5 in Arabidopsis, OsGS1;1-1;3 in rice, ZmGLN1.1-1.5 in maize, and TaGS1.1-1.3 in wheat) and plastidial GS2 (a single gene, e.g., AtGLN2 in Arabidopsis, OsGS2 in rice, ZmGLN2 in maize, and TaGS2 in wheat) (Konishi et al., 2018; Wei et al., 2020; Liu et al., 2022). While extensive research has examined the induction of these genes by different N forms in various plants, such as Arabidopsis (Hachiya et al., 2021), maize (Prinsi and Espen, 2015), wheat (Wei et al., 2021), and citrange (Sun et al., 2018), studies on their responses to Cu or in Chinese cabbage are limited. Moreover, the interaction between Cu and nitrate/ammonium ratios and its impact on the expression of these genes remains unclear.

Chinese cabbage, a leafy vegetable native to China, is a member of the Brassica genus within the Brassicaceae family. Known for its nutritional value, it is rich in vitamins, minerals, amino acids, and dietary fiber. This nitrate-loving crop can yield significantly with pure or high nitrate fertilization, but this can lead to excessive nitrate accumulation in the edible parts (Mantovani et al., 2018). Adjusting the nitrate/ammonium ratio in fertilization measures can significantly decrease nitrate content in Chinese cabbage (Zhu et al., 2015). Brassicaceous crops, including Chinese cabbage, have a high demand for Cu, especially during the reproductive growth stage when they become sensitive to low copper stress. Cu deficiency significantly impacts N and carbohydrate metabolism in vegetables (Ameh and Sayes, 2019). This results in changes in the regulation of various genes controlling different process functions (Thomas et al., 2016), ultimately affecting vegetable growth, development, and overall quality. However, current research on Cu transport in Chinese cabbage is indeed limited, with the majority of studies focusing on the phytotoxic effects of excessive Cu levels rather than exploring the impact of appropriate Cu concentrations. Previous studies have demonstrated that a Cu concentration of 0.02 mg L−1 can enhance the biomass of Chinese cabbage, while concentrations reaching 0.27 mg L−1 inhibit growth (Aghajanzadeh et al., 2020; Schmitt et al., 2020), but these studies have primarily addressed growth metrics and have not investigated the effects of Cu-N interactions. Addressing these gaps is critical, especially in understanding how N forms and Cu application influence the cultivation of Chinese cabbage. Key areas for investigation include inorganic N content levels, enzyme activity, primary N assimilation products, N accumulation, key transporters, and gene expression. Expanding this research will enhance our knowledge of Cu’s role in enhancing nutritional functions and ensuring vegetable nitrate food safety. Thus, our study aimed to: (1) assess the effects of Cu on plant growth and nutrient N metabolism in Chinese cabbage under varying nitrate/ammonium ratios in the nutrient solution; and (2) determine Cu’s impact on the gene expression of nitrate transporters, NR, and GS in Chinese cabbage. Therefore, these findings offer insights into the mechanisms by which Cu enhanced plant N metabolism, suggesting strategies for optimizing nutrient management to improve vegetable yield and quality.

2 Materials and methods

2.1 Plant materials and growth conditions

Chinese cabbage [B. campestris L. ssp. Chinensis (L.). cv. Shanghai green] was sourced from China for germination. The seeds were sterilized with 0.5% NaClO solution and germinated in deionized water at 25 °C for five days. Following germination, the seedlings were transplanted into rectangular hydroponic plots and supplied with half-strength modified Hoagland and Arnon nutrient solution (Hoagland, 1950) for two weeks. The nutrient solution comprised 2 mM Ca(NO3)2·4H2O, 3 mM KNO3, 0.5 mM NH4H2PO4, 1 mM MgSO4·7H2O, 0.05 mM EDTA-Fe, 23.1 µM H3BO3, 4.55 µM MnCl2·4H2O, 0.4 µM ZnSO4·7H2O, 0.01 µM (NH4)6Mo7O24·4H2O, and 0.15 µM CuSO4·5H2O.

To assess the effects of Cu and nitrate/ammonium ratios on the growth and N assimilation in Chinese cabbage, a completely hydroponic trial was conducted using a 3×2 factorial treatment design. The Cu treatments included two concentrations: Cu 0 (0 mg L−1) and Cu 0.02 (0.02 mg L−1) representing Cu deficiency and Cu application, respectively. The nitrate/ammonium ratio treatments comprised three ratios: 10/90, 50/50, and 90/10. The macro-elements were based on Hoagland’s nutrient solution, containing 15 mM N, 1 mM phosphorus (P), 6 mM potassium (K), 5 mM calcium (Ca), and 2 mM magnesium (Mg) (Table 1). The trace elements were diluted to 1/1000th of Arnon’s nutrient solution. For the Cu 0 group, CuSO4·5H2O was omitted from the nutrient solution, while for the Cu 0.02 group, 0.02 mg L−1 Cu was provided by adding CuSO4·5H2O at 0.08 mg L−1. Additionally, 7 μM dicyandiamide (DCD) was included to inhibit ammonium nitrification.

Table 1
www.frontiersin.org

Table 1. The composition and formulation of N, P, K, Ca, and Mg in the nutrient solution under different nitrate/ammonium ratios.

When the second leaves of Chinese cabbage had fully expanded, the plants were transferred to plots containing 10 L of nutrient solution with varying Cu and nitrate/ammonium ratios, as previously described. The plants were randomly arranged in a greenhouse under controlled conditions: 60–80% relative humidity, 25°C during the day, 15°C at night, and 16 h of daily lighting at 500 mmol m−2 s−1. Each plot held 20 plants, with each treatment replicated thrice. All reagents used were of analytical grade (AR), and deionized water was utilized to prepare solutions, which were refreshed every seven days. The Chinese cabbage growth was continuously monitored and recorded throughout the incubation period.

After 45 days of growth, the plants were harvested and separated into shoots and roots. The tissues were washed with deionized water, thoroughly mixed, and then divided into two portions. One portion was rapidly frozen in liquid nitrogen and stored at −80°C for subsequent physiological analysis and RNA extraction. The other portion was weighed to determine fresh weight (FW), then subjected to heat treatment at 105°C for 30 min, followed by drying at 65°C to a constant weight to determine dry matter (DM). The dried samples were finely ground and sieved through a 0.85 mm mesh.

2.2 Total N, nitrate, and ammonium contents

To determine the total N content, 0.10 g of dried biomass was subjected to digestion using H2SO4-H2O2, as previously described (Wen et al., 2018, 2019). The N concentration in the diluted and filtered digested solutions was then measured using a Continuous-Flow Analyzer (SEAL Analytical, Germany). N accumulation was calculated as the N content in the dry plant biomass: N accumulation (mg) = N content × DM.

Nitrate content was determined using the previously reported method (Li, 2000). Briefly, 2.00 g of fresh samples were ground in 10 mL of ice-cold deionized water and subjected to a 30 min boiling water bath treatment. After cooling, 0.1 mL of the filtrate was aspirated and mixed with 0.4 mL of 5% salicylic-sulfuric acid solution. Following a 20 min incubation, 9.5 mL of 8% NaOH was added, and the absorbance was measured at 410 nm once the solution had cooled to room temperature.

Plant ammonium content was assessed using Nessler’s reagent colorimetric method at 480 nm, as described previously (Tang et al., 2013).

2.3 Analysis of N-assimilation enzyme activities and metabolite content

Two types of N-assimilation enzyme activities were analyzed using frozen samples (Wang, 2006) with minor modifications. NR (EC 1.7.1.1) activity was assessed as follows: Tissues (0.50 g) were ground in ice in 4 mL of extraction buffer comprising 0.1211 g KNO3, 0.0372 g EDTA, and 100 mL of 0.025 M phosphate buffer (pH 8.7). The homogenate was centrifuged at 4000 rpm for 15 min at 4°C, yielding the final supernatant. The reaction mixture included 1.2 mL of 0.1 M KNO3 phosphate buffer, 0.4 mL of NADH, and 0.4 mL of enzyme extract. The mixture was incubated in a 25°C water bath for 30 min, followed by adding 1 mL of sulfanilamide to terminate the enzyme reaction and 1 mL of naphthalene vinyl amine dihydrochloride to develop color. Absorbance was measured at 540 nm after 15 min. The GS (EC 6.3.1.2) activity was assessed as follows: Tissues (0.50 g) were ground in ice with 3 mL of 50 mM Tris-HCl buffer (containing 2 mM MgCl2, 2 mM DTT, and 0.4 M sucrose, pH 8.0). The homogenate was centrifuged at 1300 rpm for 10 min at 4°C, yielding the final supernatant. Following centrifugation, 1.6 mL of hydroxylamine hydrochloride and 0.7 mL of ATP solution were added to the supernatant, mixed, and incubated at 37°C for 30 min. Subsequently, 1 mL of a color reagent (containing 0.2 M TCA, 0.37 M FeCl3, and 0.6 M HCl) was added, and the absorbance was measured at 540 nm.

The soluble protein content was measured according to the method of Lu et al. (2014). Frozen tissue samples (0.20 g) were ground on ice with 2 mL of deionized water, and the homogenate was centrifuged at 4000 rpm for 20 min. From the supernatant, 0.1 mL was mixed with 5 mL of Coomassie Brilliant Blue G-250 Protein. The mixture was thoroughly blended, and absorbance was recorded at 595 nm.

Total free amino acid content was assessed using the ninhydrin colorimetric method (Li, 2000). Frozen tissue samples (0.50 g) were extracted with 10% acetic acid on ice, and the supernatant was reacted with deionized water and ninhydrin solution. The mixture was heated in a boiling water bath for 15 min, and then rapidly cooled with continuous agitation. After the bluish-violet color had developed, ethanol was added, and the solution was thoroughly mixed, with the absorbance being measured at 570 nm.

2.4 RNA extraction and qRT-PCR

Quantitative real-time reverse transcription PCR (qRT-PCR) was used to quantify the expression levels of the NRT1.1, NRT2.1, NIA, Gln1, and Gln2 genes (Tang et al., 2013; Deng et al., 2024). Total RNA was extracted from 0.1 g of frozen shoots and roots using Trizol reagent (Invitrogen, USA). RNA concentration and purity were measured with a Nanodrop 2000 (Thermo, USA), and quality was assessed via 1% agarose gel electrophoresis. The RNA extracts were reverse-transcribed using M-MLV Reverse Transcriptase (Promega, USA) following the manufacturer’s instructions. The synthesized cDNA (50 ng) was diluted to 20 μL for qRT-PCR. The reaction was performed in technical triplicates using the SYBR Green PCR Master Mix Kit (TOYOBO, Japan) on a CFX96 Fast Real-Time PCR System (Bio-Rad, USA), with the Actin gene as an internal control. Primers used for qRT-PCR are listed in Table 2, with additional details provided in Supplementary Tables S1S4 and Supplementary Figures S1-S6.

Table 2
www.frontiersin.org

Table 2. The primers used for qRT-PCR.

2.5 Statistical analysis

Data analysis was conducted using SPSS 25.0 software. Results are presented as means ± standard errors in triplicate (n = 3). A two-way analysis of variance (ANOVA) was used to assess the main effects of nitrate/ammonium ratio and Cu levels, as well as their interaction effects. For all parameters, a post-hoc multiple comparisons were performed using Duncan’s test at a significance level of p < 0.05. Data visualization was carried out using the Origin 2021 software.

3 Results

3.1 Plant growth, nitrate, and ammonium contents

Cu application increased the biomass of Chinese cabbage across all nitrate/ammonium ratios, enhancing both FW and DM in shoots and roots (Table 3, Supplementary Figure S7). This effect was particularly significant at the 90/10 ratio (p < 0.05). The nitrate/ammonium ratio had a highly significant effect on root biomass, with both FW and DM consistently increasing as the nitrate proportion rose. In contrast, shoot FW and DM were significantly lower at the 50/50 ratio compared to the other ratios. Additionally, a significant interaction between Cu application and nitrate/ammonium ratio was observed, affecting shoot FW (p = 0.002) and DM (p < 0.001).

Table 3
www.frontiersin.org

Table 3. Effects of Cu on the biomass of shoot and root of Chinese cabbage under different nitrate/ammonium ratios.

As the nitrate proportion in the nutrient solution increased, nitrate content in Chinese cabbage also significantly increased. However, shoot and root responses to Cu varied (Figures 1A, B). Under the 90/10 ratio, Cu application significantly increased shoot nitrate by 20.92% (p < 0.05) but reduced root nitrate by 27.06% and 31.33% at the 50/50 and 90/10 ratios, respectively (p < 0.05).

Figure 1
www.frontiersin.org

Figure 1. The effects of Cu on nitrate (A, B) and ammonium (C, D) contents in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05.

In contrast, ammonium content in Chinese cabbage decreased progressively with increasing nitrate proportion (Figures 1C, D). Cu application significantly reduced shoot ammonium under the 10/90 ratio but increased it under the 50/50 ratio. Root ammonium content decreased across all nitrate/ammonium ratios, with significant reductions of 17.39% and 17.57% under the 10/90 and 50/50 ratios, respectively (p < 0.05).

Additionally, the nitrate content in the shoot of Chinese cabbage was significantly higher than in the root, while the ammonium content showed the opposite trend.

3.2 Gene expression of nitrate transporters NRT1.1 and NRT2.1

Elevated nitrate proportions upregulated NRT1.1 and NRT2.1 expressions in both the shoot and root of Chinese cabbage (Figure 2). Notably, Cu application further enhanced NRT1.1 and NRT2.1 expressions in the shoots, particularly at the 50/50 and 90/10 nitrate/ammonium ratios (Figures 2A, C). Compared to the 10/90 ratio, NRT1.1 expression increased by 25.32% and 16.57%, and NRT2.1 expression increased by 46.69% and 11.28% at the 50/50 and 90/10 ratios, respectively. Conversely, Cu application downregulated NRT1.1 and NRT2.1 expressions in the roots (Figures 2B, D), especially at the 90/10 ratio, where reductions of 17.65% and 10.83%, respectively, were observed. To determine the primary expression site of NRT1.1 and NRT2.1, the log of shoot-to-root transcription abundance was calculated following Tang et al. (2013). A log value < 0 indicates predominant root expression, while a positive value indicates shoot predominance. In this study, the log (shoot/root transcription abundance) for NRT1.1 and NRT2.1 was consistently < 0 across all treatments (Supplementary Table S3), indicating root-dominant expression unaffected by Cu application or nitrate/ammonium ratio.

Figure 2
www.frontiersin.org

Figure 2. Effects of Cu on the expression of NRT1.1 (A, B) and NRT2.1 (C, D) in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05.

3.3 NR activity and NIA gene expression

With increasing nitrate/ammonium ratios, NR activity in both shoots and roots showed an upward trend, more pronounced in the roots (Figures 3A, B). Cu application significantly increased NR activity in shoots by 69.41% at the 90/10 ratio and in roots by 134.64% and 89.85% at the 50/50 and 90/10 ratios, respectively, with statistically significant differences (p < 0.05).

Figure 3
www.frontiersin.org

Figure 3. The effects of Cu on NR activity (A, B) and NIA gene expression (C, D) in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05.

The NIA gene expression pattern in Chinese cabbage mirrors the changes in NR enzyme activity, with relative expressions in shoots and roots increasing as the nitrate/ammonium ratios rise. Notably, Cu application significantly upregulated NIA expression in shoots by 25.71% at the 90/10 ratio (p < 0.05) and in roots by 80.19% and 30.65% at the 50/50 and 90/10 ratios, respectively (p < 0.05, Figures 3C, D). Furthermore, both NR activity and NIA expression were higher in shoots than in roots.

3.4 GS activity and its relative gene expression

GS activity was assessed in Chinese cabbage tissues (Figures 4A, B), revealing generally higher enzyme activity in shoots compared to roots, regardless of Cu treatment or nitrate/ammonium ratio. Both Cu application and increased ammonium contribution significantly (p < 0.05) enhanced GS activity in shoots and roots, with the highest activity observed at Cu 0.02 under a nitrate/ammonium ratio of 10/90. Specifically, GS activity in shoots increased by 12.18%, 20.79%, and 48.65%, while in roots, it increased by 51.16%, 41.89%, and 35.04% under the 10/90, 50/50, and 90/10 ratios, respectively.

Figure 4
www.frontiersin.org

Figure 4. The effects of Cu on GS activity (A, B), Gln1 (C, D) and Gln2 (E, F) expressions in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05.

Similarly, Gln1 and Gln2 expression in Chinese cabbage responded sensitively to nitrate/ammonium ratios, with both genes showing upregulation as the ammonium proportion increased. As depicted in Figure 4D, Cu application significantly (p < 0.05) increased Gln1 expression in roots by 30.41% and 55.01% under the 10/90 and 90/10 ratios, respectively. Additionally, Gln2 expression in shoots significantly (p < 0.05) increased by 10.36% and 41.01% under the 10/90 and 50/50 ratios (Figure 4E), while in roots, it significantly (p < 0.05) increased by 12.63% under the 10/90 ratio (Figure 4F).

Regarding expression organs, regardless of the nitrate/ammonium ratio or the application of Cu, Gln1 expression in shoots was lower than in roots. Conversely, Gln2 expression showed the opposite trend, with higher expression in shoots than in roots, and these differences were statistically significant (p < 0.05).

3.5 Total free amino acid and soluble protein contents

Cu application significantly increased soluble protein content in Chinese cabbage roots across all nitrate/ammonium ratios, showing a 34.89% and 28.94% increase (p < 0.05) under the 10/90 and 90/10 ratios, respectively (Figure 5A). However, the stimulatory effect of Cu on soluble protein content in shoots diminished with the rising nitrate proportion. It increased significantly (p < 0.05) by 36.05% under the 10/90 ratio, showed no significant difference under the 50/50 ratio, and decreased by 50.77% under the 90/10 ratio (p < 0.05, Figure 5B).

Figure 5
www.frontiersin.org

Figure 5. The effects of Cu on soluble protein (A, B) and total free amino acids (C, D) contents in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05.

As the nitrate/ammonium ratio increased, total free amino acids content decreased in both shoots and roots of Chinese cabbage. However, Cu application increased total free amino acids content in shoots but decreased it in roots (Figures 5C, D).

3.6 The concentration and accumulation of N

The total N concentration and accumulation in Chinese cabbage tissues are illustrated in Figure 6, showing higher levels in shoots compared to roots. Cu application enhanced these parameters in both shoots and roots, with a more notable impact on N accumulation. A shift in the nitrate/ammonium ratio from 10/90 to 90/10 increased N accumulation in shoots by 57.41% (p < 0.05), 40.79%, and 77.87% (p < 0.05), and roots by 118.58%, 34.40%, and 38.33% (p < 0.05). Notably, Cu application significantly increased the total N content in roots by 67.95% (p < 0.05) only under the 10/90 ratio.

Figure 6
www.frontiersin.org

Figure 6. The effects of Cu on total N content (A, B) and N accumulation (C, D) in Chinese cabbage shoots and roots under three nitrate/ammonium ratios. Significance levels are denoted by distinct lowercase letters at p < 0.05. The ns represents insignificant change at the p < 0.05 level.

3.7 Interaction effects of Cu and nitrate/ammonium ratio on tested parameters

Table 4 reveals that the interactive effects of Cu application and nitrate/ammonium ratio significantly influence various parameters in both shoots and roots of Chinese cabbage. Specifically, in the shoots, Cu and nitrate/ammonium ratio significantly impacted nitrate content, ammonium content, total free amino acids, soluble protein, and the expression of NIA, Gln1, Gln2, NRT1.1, and NRT2.1 genes. Conversely, in the roots, these interactive effects had a highly significant impact on total N content, nitrate content, ammonium content, total free amino acids, soluble protein, NR enzyme activity, and the expression of NIA, Gln1, Gln2, and NRT2.1 genes, with a notable influence observed on NRT1.1 expression.

Table 4
www.frontiersin.org

Table 4. The p-values of the main effects and interaction effects of nitrate/ammonium ratio and Cu treatment.

4 Discussion

The N metabolism in higher plants encompasses processes such as uptake, transport, assimilation, and remobilization (Liu et al., 2022). Our study reveals that Cu plays a direct or indirect role in these processes, particularly in the nitrate reduction process. This reduction, mediated by NR, is a crucial step in nitrate assimilation, influencing plant growth and organic nitrogen status (Xiong et al., 2006). NR acts as the initial enzyme in this process, reflecting the plant’s nitrate nutrition levels through its role in absorption, transport, and metabolism (Darnell and Hiss, 2006; Liu et al., 2017). The increase in NR activity and NIA expression in both shoots and roots following Cu addition (Figure 3) is likely due to Cu’s direct influence on NR through its essential role in Moco biosynthesis (Kaur et al., 2023). At the cellular level, Moco serves as a catalytic center for NR activation and nitrate reduction, with the final step of Moco biosynthesis associated with copper–dithiolate complex formation (Kuper et al., 2004). Additionally, NR activity is not only influenced by nitrate substrate (Chamizo-Ampudia et al., 2017) but also by factors like light intensity, plant hormones, and photoperiod (Sun et al., 2018). Carbohydrates, particularly sugars, affect NR expression (Xiong et al., 2006). Cu’s role in electron transfer during photosynthesis suggests it may indirectly enhance NIA expression and NR activity (Figures 3C, D) by influencing plant carbohydrate metabolism and photosynthesis (Kaur et al., 2023). These findings align with a recent study showing that Cu deficiency decreased N content and NR activity in rice (Du et al., 2022b). Given that our study has not yet examined the photosynthetic characteristics of Chinese cabbage, future research could focus on the influence of Cu on plant photosynthetic performance and carbohydrate production under varying nitrate/ammonium ratios. This would provide further evidence to support the hypothesis.

Under Cu addition, nitrate content and the expressions of NRT1.1 and NRT 2.1 decreased in Chinese cabbage roots, but increased in the shoots (Figures 1, 2), indicating Cu may enhance nitrate transport. Most nitrate absorbed by plants is transported to aerial parts, while a small portion is stored in root vacuoles for osmotic regulation (Kozlowski et al., 2016). Leafy vegetables predominantly accumulate nitrate in their leaves (Colla et al., 2018). Thus, nitrate content in Chinese cabbage shoots was significantly higher than in roots (Figures 1A, B). Nitrate absorption and transportation are primarily mediated by membrane transporters, such as NRT1 and NRT2 families. Our study hypothesizes that Cu increases NR activity in Chinese cabbage roots (Figure 3B), accelerating nitrate reduction, which significantly decreases nitrate content (Figure 1B). This reduction provides signals to downregulate the expression of NRT1.1 and NRT2.1 (Figures 2B, D), consistent with previous findings (Krapp et al., 2014; Chamizo-Ampudia et al., 2017). Additionally, optimizing Cu supply enhances root growth and development, enhancing nutrient absorption and transport capacity of roots (Ameh and Sayes, 2019). The enhanced root biomass of Chinese cabbage with Cu application (Table 3) supports the proposed hypothesis. Regardless of Cu application, NR activity, NIA expression, and nitrate content in Chinese cabbage shoots were significantly higher than in roots (Figures 1A, B, 3), suggesting that nitrate reduction by NR predominantly occurs in the shoots. This is because most nitrate absorbed by roots is transported to the shoots for reduction in mesophyll cells (MCs), although some can be reduced to ammonium in roots (Liu et al., 2022). However, NRT1.1 and NRT2.1 transporters, predominantly expressed in Chinese cabbage roots, align with findings of their positive correlation with nitrate uptake in plant roots (Tang et al., 2013; Chamizo-Ampudia et al., 2017). Chinese cabbage’s nitrate preference enhances root nitrate absorption capability (Zhang et al., 2023). In Arabidopsis, AtNRT1.1 and AtNRT2.1 mediate low-affinity and high-affinity nitrate transport systems (Tsay et al., 2007; Miller et al., 2009). This study used nutrient solutions with nitrate concentrations of 1.5, 7.5, and 13.5 mM. NRT1.1 and NRT2.1 expressions significantly increased with higher nitrate concentrations, with no significant difference in expression levels, except for a slight increase in NRT1.1 expression over NRT2.1 in shoots, indicating both are inducible by higher nitrate concentrations (Okamoto et al., 2003).

In plants, ammonium, sourced from nitrate reduction and root absorption, is the primary source for N assimilation, predominantly transported to aerial parts for growth and development (Wei et al., 2020). This assimilation is catalyzed by the GS-GOGAT cycle, with GS acting as a crucial enzyme and ammonium reservoir (Hachiya et al., 2021). We found that Cu application increased GS activity in Chinese cabbage shoots and roots (Figure 4), aligning with previous studies on other crops (Llorens et al., 2000; Zhang et al., 2014; de Souza Junior et al., 2018). The upregulation of Gln1 and Gln2 expressions explained this enhancement (Figure 4). These isoforms are distributed across various plant organs and perform diverse functions (Martin et al., 2006). Gln1 is primarily located in roots and older leaves, playing a role in ammonium assimilation in shoots and recycling ammonium released during protein degradation in leaf senescence (Ingargiola et al., 2023). Ammonium significantly increased the accumulation of ZmGLN1.1 and ZmGLN1.5 in maize roots and the expression of TaGS1.1 and TaGS1.3 in wheat roots (Prinsi and Espen, 2015; Wei et al., 2020; Liu et al., 2022). However, Gln2 primarily absorbs ammonium derived from nitrate reduction in chloroplasts or ammonia released during photorespiration (Perez-Delgado et al., 2016). Arabidopsis AtGLN2 is present in both mitochondria and chloroplasts of MCs, with its GS activity in these organelles enhanced by photorespiratory stress (Liu et al., 2022). Gln1 and Gln2 are predominantly expressed in the roots and shoots of Chinese cabbage, respectively (Figure 4), consistent with previous findings. Notably, Gln2’s response to Cu is more consistent, as Cu upregulates Gln2 expression in both roots and shoots across all nitrate/ammonium ratios (Figures 4E, F). This could be due to Cu’s role in enhancing NR activity and facilitating nitrate reduction, potentially leading to Gln2 upregulation. Another hypothesis is that Cu-induced upregulation of Gln2 may be related to its role in assimilating ammonia released during photorespiration (Perez-Delgado et al., 2016), potentially enhancing photosynthesis (Zunaira et al., 2020). This hypothesis warrants further investigation. In contrast, Gln1, encoded by a multigene family, plays a more complex role in various biological processes such as primary N assimilation, remobilization during leaf senescence, and grain filling (Thomsen et al., 2014; Liu et al., 2022). This complexity may explain the weaker effect of Cu on Gln1 expression.

Ammonium is transformed into proteins, amino acids, chlorophyll, and other nitrogen-containing organic compounds (Perez-Delgado et al., 2016). Cu is crucial in promoting plant growth and development by participating in protein transport, regulating photosynthetic electron transport, and hormone signal transduction (Ameh and Sayes, 2019). These functions collectively enhance plant N assimilation and conversion to organic N compounds. Cu in plant tissues forms complexes with amino acids in the xylem before being transported to the aerial parts, thereby increasing the total free amino acid content in plant tissues (Liao et al., 2000; Mazen, 2004; Xiong et al., 2006), thus promoting protein synthesis (Rehman et al., 2019). In our study, Cu application facilitated the transfer of total free amino acids from roots to shoots, increasing the soluble protein content in roots (Figure 5). This supports the indirect role of Cu in the conversion of ammonium to organic N compounds in Chinese cabbage. Furthermore, excess external ammonium can disrupt the tricarboxylic acid (TCA) cycle, leading to ammonium accumulation in plant tissues (Lasa et al., 2002). Our findings confirmed that the 10/90 nitrate/ammonium ratio indeed resulted in ammonium accumulation in the major metabolic organs of Chinese cabbage. However, Cu application significantly decreased ammonium levels in both roots and shoots of Chinese cabbage, increasing soluble protein content and enhancing GS activity. Consequently, this upregulated the expression of Gln1 and Gln2 genes, thereby significantly increasing N accumulation in both shoots and roots. This process promoted ammonium assimilation and conversion to organic N, alleviating the phytotoxic effects of high ammonium. However, under a 90/10 nitrate/ammonium ratio, Cu application caused a significant decrease in shoot soluble protein content (Figure 5A). We hypothesize that this was due to the increased biomass and nitrate content in Chinese cabbage shoots under Cu application in a high-nitrate environment (Table 2, Figure 1A). This may have expedited leaf senescence, reducing primary N assimilation capacity and increasing protein and nucleic acid degradation (Have et al., 2017; Liu et al., 2022). Chinese cabbage, a nitrate-loving crop, may exhibit premature senescence and nitrate accumulation in edible parts under high nitrate conditions (Zhang et al., 2023). Therefore, excessive nitrate is not always beneficial for its growth.

Additionally, the impact of Cu on N uptake and assimilation in Chinese cabbage is significantly affected by the nitrate/ammonium ratio, a finding that has been documented in various plant species, including lettuce (Du et al., 2022a), Chinese cabbage (Xiong et al., 2006), tomato (Liu et al., 2017), and Tanzania guinea grass (de Souza Junior et al., 2018). However, these studies have primarily focused on the environmental effects of nitrate/ammonium ratios in mitigating Cu pollution. In contrast, our research highlights the regulatory role of optimal Cu concentrations on N nutrition in Chinese cabbage. Our study revealed significant interactive effects of Cu and nitrate/ammonium ratios on multiple parameters (Table 4), supported by gene expression levels. Under nitrate conditions, the impact of Cu on N metabolism is more pronounced, aligning with previous studies (Llorens et al., 2000). This finding enhances our understanding of the crucial role of Cu (at appropriate concentration) in N metabolism, a topic less frequently explored in the literature. Future studies will aim to elucidate the regulatory mechanisms of Cu on plant N uptake and utilization using proteomics and metabolomics techniques, with the goal of identifying potential relationships between metabolites and metabolic pathways.

5 Conclusion

Our comparative analyses demonstrated that Cu affects both growth and N metabolism in Chinese cabbage under varying nitrate/ammonium ratios. The 0.02 mg L−1 Cu application enhances NR activity, which promotes nitrate reduction in roots and its subsequent transport to shoots, resulting in nitrate accumulation in shoots. Additionally, Cu increases GS activity, thereby supporting the GS-GOGAT cycle and primary N assimilation. This enhancement facilitates the transfer of free amino acids from shoots to roots, resulting in greater soluble protein accumulation in roots, ultimately improving N accumulation and biomass production. Furthermore, key genes involved in plant N metabolism, such as NRT1.1, NRT2.1, NIA, Gln1, and Gln2, respond variably to Cu application. Additionally, the effect of Cu on N metabolism is further modulated by different nitrate/ammonium ratios in the nutrient solution. These findings highlight Cu’s essential role in N uptake, transport, and assimilation in higher plants, elucidating the complex interplay between Cu and nitrate/ammonium ratios, and providing insights into optimal ratios for the safe cultivation of Chinese cabbage.

Data availability statement

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

Author contributions

XW: Data curation, Methodology, Project administration, Resources, Validation, Writing – original draft, Writing – review & editing. PX: Investigation, Validation, Writing – original draft. YT: Investigation, Validation, Writing – original draft. HZ: Data curation, Investigation, Writing – original draft. PC: Data curation, Investigation, Writing – original draft. ZZ: Investigation, Writing – original draft. XYZ: Investigation, Writing – original draft. XHZ: Investigation, Writing – original draft. AD: Investigation, Visualization, Writing – original draft.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was financially supported by the Science and Technology Research Program of Hubei Provincial Education Department (Q20222702), the China Postdoctoral Science Foundation (No. 2022M722772), and the Natural Science Program of Xiaogan City (XGKJ2021010100).

Acknowledgments

We would like to extend our sincere gratitude to the editor and reviewers for their invaluable contributions, including their thoughtful comments and constructive feedback, which have greatly enhanced the quality of this paper. Additionally, we would like to express our gratitude to EditSprings (https://www.editsprings.cn) for the expert linguistic services provided.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2024.1427720/full#supplementary-material

References

Aghajanzadeh, T. A., Prajapati, D. H., Burow, M. (2020). Copper toxicity affects indolic glucosinolates and gene expression of key enzymes for their biosynthesis in Chinese cabbage. Arch. Agron. Soil Sci. 66, 1288–1301. doi: 10.1080/03650340.2019.1666208

Crossref Full Text | Google Scholar

Aguirre, G., Pilon, M. (2016). Copper delivery to chloroplast proteins and its regulation. Front. Plant Sci. 6. doi: 10.3389/fpls.2015.01250

PubMed Abstract | Crossref Full Text | Google Scholar

Alhasany, A. R., Noaema, A. H., Alhmadi, H. B. (2019). The role of spraying copper and zinc on the growth and yield of Vicia faba L. Conference Series: Microelectronics Systems Education. 571, 012048. doi: 10.1088/1757-899X/571/1/012048

Crossref Full Text | Google Scholar

Ameh, T., Sayes, C. M. (2019). The potential exposure and hazards of copper nanoparticles: a review. Environ. Toxicol. Pharmacol. 71, 103220. doi: 10.1016/j.etap.2019.103220

PubMed Abstract | Crossref Full Text | Google Scholar

Chamizo-Ampudia, A., Sanz-Luque, E., Llamas, A., Galvan, A., Fernandez, E. (2017). Nitrate reductase regulates plant nitric oxide homeostasis. Trends Plant Sci. 22, 163–174. doi: 10.1016/j.tplants.2016.12.001

PubMed Abstract | Crossref Full Text | Google Scholar

Colla, G., Kim, H., Kyriacou, M. C., Rouphael, Y. (2018). Nitrate in fruits and vegetables. Sci. Hortic. 237, 221–238. doi: 10.1016/j.scienta.2018.04.016

Crossref Full Text | Google Scholar

Da, X., Ji, H., Zhao, Z., Lan, R., Li, T., Ma, J. (2019). Strongly prolonged hydroxyl radical production for Fenton-like reactions: The golden touch of Cu. Sep. Purif. Technol. 213, 500–506. doi: 10.1016/j.seppur.2018.12.060

Crossref Full Text | Google Scholar

Darnell, R. L., Hiss, S. A. (2006). Uptake and assimilation of nitrate and iron in two Vaccinium species as affected by external nitrate concentration. J. Am. Soc Hortic. Sci. 131, 5–10. doi: 10.21273/JASHS.131.1.5

Crossref Full Text | Google Scholar

Deng, S., Guan, D., Cao, Y., Wang, C., Liu, C., Ma, L. (2024). Arsenic-hyperaccumulator Pteris vittata effectively uses sparingly-soluble phosphate rock: rhizosphere solubilization, nutrient improvement, and arsenic accumulation. Environ. Sci. Technol. 58, 7870–7879. doi: 10.1021/acs.est.4c00066

PubMed Abstract | Crossref Full Text | Google Scholar

de Souza Junior, J. C., Nogueirol, R. C., Monteiro, F. A. (2018). NO3/NH4+ ratios affect nutritional homeostasis and production of Tanzania Guinea grass under Cu toxicity. Environ. Sci. pollut. Res. 25, 14083–14096. doi: 10.1007/s11356-018-1541-1

Crossref Full Text | Google Scholar

Du, M., Zhang, W., Gao, J., Liu, M., Zhou, Y., He, D., et al. (2022b). Improvement of root characteristics due to nitrogen, phosphorus, and potassium interactions increases rice (Oryza sativa L.) yield and nitrogen use efficiency. Agronomy-Basel 12, 23. doi: 10.3390/agronomy12010023

Crossref Full Text | Google Scholar

Du, K., Zhang, J., Han, Y., Hao, J., Qin, X., Liu, C., et al. (2022a). Effects of varying NO3: NH4+ ratios on lettuce (Lactuca sativa L.) nitrogen metabolism. Pak. J. Bot. 54, 2081–2088. doi: 10.30848/PJB2022-6(37)

Crossref Full Text | Google Scholar

Fan, X., Naz, M., Fan, X., Xuan, W., Miller, A. J., Xu, G. (2017). Plant nitrate transporters: from gene function to application. J. Exp. Bot. 68, 2463–2475. doi: 10.1093/jxb/erx011

PubMed Abstract | Crossref Full Text | Google Scholar

Ghazaryan, K., Movsesyan, H., Ghazaryan, N., Watts, B. A. (2019). Copper phytoremediation potential of wild plant species growing in the mine polluted areas of Armenia. Environ. pollut. 249, 491–501. doi: 10.1016/j.envpol.2019.03.070

PubMed Abstract | Crossref Full Text | Google Scholar

Hachiya, T., Inaba, J., Wakazaki, M., Sato, M., Toyooka, K., Miyagi, A., et al. (2021). Excessive ammonium assimilation by plastidic glutamine synthetase causes ammonium toxicity in Arabidopsis thaliana. Nat. Commun. 12, 4944. doi: 10.1038/s41467-021-25238-7

PubMed Abstract | Crossref Full Text | Google Scholar

Have, M., Marmagne, A., Chardon, F., Masclaux-Daubresse, C. (2017). Nitrogen remobilization during leaf senescence: lessons from arabidopsis to crops. J. Exp. Bot. 68, 2513–2529. doi: 10.1093/jxb/erw365

PubMed Abstract | Crossref Full Text | Google Scholar

Hernández Pérez, A., García Santiago, J. C., Robledo Torres, V., Méndez López, A., Sandoval Rangel, A., Camposeco Montejo, N. (2021). Nitrate/ammonium ratio effect on the growth, yield and foliar anatomy of grafted tomato plants. Hortic. Sci. 48, 80–89. doi: 10.17221/99/2020-HORTSCI

Crossref Full Text | Google Scholar

Hoagland, R. (1950). The water culture methods for growing plants without soil (California: California Agricultural Experiment Station Circular), 347.

Google Scholar

Hristozkova, M., Geneva, M., Stancheva, I., Georgiev, G. (2007). Response of inoculated foliar fed pea plants (Pisum sativum L.), to reduced Mo supply. Acta Biol. Hung. 58, 87–92. doi: 10.1556/ABiol.58.2007.1.8

PubMed Abstract | Crossref Full Text | Google Scholar

Ingargiola, C., Jehanno, I., Forzani, C., Marmagne, A., Broutin, J., Clément, G., et al. (2023). The Arabidopsis Target of Rapamycin kinase regulates ammonium assimilation and glutamine metabolism. Plant Physiol. 192, 2943–2957. doi: 10.1093/plphys/kiad216

PubMed Abstract | Crossref Full Text | Google Scholar

Kaur, H., Kaur, H., Kaur, H., Srivastava, S. (2023). The beneficial roles of trace and ultratrace elements in plants. Plant Growth Regul. 100, 219–236. doi: 10.1007/s10725-022-00837-6

Crossref Full Text | Google Scholar

Konishi, N., Saito, M., Imagawa, F., Kanno, K., Yamaya, T., Kojima, S. (2018). Cytosolic glutamine synthetase isozymes play redundant roles in ammonium assimilation under low-ammonium conditions in roots of Arabidopsis thaliana. Plant Cell Physiol. 59, 601–613. doi: 10.1093/pcp/pcy014

PubMed Abstract | Crossref Full Text | Google Scholar

Kozlowski, J. A., Kits, K. D., Stein, L. Y. (2016). Comparison of nitrogen oxide metabolism among diverse ammonia-oxidizing bacteria. Front. Microbiol. 7, 1090. doi: 10.3389/fmicb.2016.01090

PubMed Abstract | Crossref Full Text | Google Scholar

Krapp, A., David, L. C., Chardin, C., Girin, T., Marmagne, A., Leprince, A. S., et al. (2014). Nitrate transport and signalling in Arabidopsis. J. Exp. Bot. 65, 789–798. doi: 10.1093/jxb/eru001

PubMed Abstract | Crossref Full Text | Google Scholar

Kuper, J., Llamas, A., Hecht, H. J., Mendel, R. R., Schwarz, G. (2004). Structure of the molybdopterin-bound Cnx1G domain links molybdenum and copper metabolism. Nature 430, 803–806. doi: 10.1038/nature02681

PubMed Abstract | Crossref Full Text | Google Scholar

Lasa, B., Frechilla, S., Aparicio-Tejo, P. M., Lamsfus, C. (2002). Alternative pathway respiration is associated with ammonium ion sensitivity in spinach and pea plants. Plant Growth Regul. 37, 49–55. doi: 10.1023/A:1020312806239

Crossref Full Text | Google Scholar

Li, H. (2000). Principles and techniques of plant physiological biochemical experimental (Beijing: Higher Education Press), 123–185.

Google Scholar

Liao, M. T., Hedley, M. J., Woolley, D. J., Brooks, R. R., Nichols, M. A. (2000). Copper uptake and translocation in chicory (Cichorium intybus L. cv Grasslands Puna) and tomato (Lycopersicon esculentum Mill. cv Rondy) plants grown in NFT system. II. The role of nicotianamine and histidine in xylem sap copper transport. Plant Soil 223, 245–254. doi: 10.1023/A:1004843505053

Crossref Full Text | Google Scholar

Liu, G., Du, Q., Li, J. (2017). Interactive effects of nitrate-ammonium ratios and temperatures on growth, photosynthesis, and nitrogen metabolism of tomato seedlings. Sci. Hortic. 214, 41–50. doi: 10.1016/j.scienta.2016.09.006

Crossref Full Text | Google Scholar

Liu, X., Hu, B., Chu, C. (2022). Nitrogen assimilation in plants: current status and future prospects. J. Genet. Genomics 49, 394–404. doi: 10.1016/j.jgg.2021.12.006

PubMed Abstract | Crossref Full Text | Google Scholar

Llorens, N., Arola, L., Bladé, C., Mas, A. (2000). Effects of copper exposure upon nitrogen metabolism in tissue cultured Vitis vinifera. Plant Sci. 160, 159–163. doi: 10.1016/S0168-9452(00)00379-4

PubMed Abstract | Crossref Full Text | Google Scholar

Lu, M., Zhao, J., Feng, L. D., Li, K. K., Zhao, X. M., Yan, H. M., et al. (2014). Study on the effects of domestic sewage on soluble protein content of parts constructed wetland plants. Appl. Mech. Mater. 522-524, 741–744. doi: 10.4028/www.scientific.net/AMM.522-524.741

Crossref Full Text | Google Scholar

Luo, F., Yan, X., Hu, X., Yan, L., Cao, M., Zhang, W. (2022). Nitrate quantification in fresh vegetables in shanghai: its dietary risks and preventive measures. Int. J. Environ. Res. Public Health 19, 14487. doi: 10.3390/ijerph192114487

PubMed Abstract | Crossref Full Text | Google Scholar

Mantovani, C., Prado, R. M., Pivetta, K. F. L. (2018). Impact of nitrate and ammonium ratio on nutrition and growth of two Epiphytic orchids. An. Acad. Bras. Cienc. 90, 3423–3431. doi: 10.1590/0001-3765201820171008

PubMed Abstract | Crossref Full Text | Google Scholar

Martin, A., Lee, J., Kichey, T., Gerentes, D., Zivy, M., Tatout, C., et al. (2006). Two cytosolic glutamine synthetase isoforms of maize are specifically involved in the control of grain production. Plant Cell 18, 3252–3274. doi: 10.1105/tpc.106.042689

PubMed Abstract | Crossref Full Text | Google Scholar

Mazen, A. (2004). Accumulation of four metals in tissues of Corchorus olitorius and possible mechanisms of their tolerance. Biol. Plant 48, 267–272. doi: 10.1023/B:BIOP.0000033455.11107.97

Crossref Full Text | Google Scholar

Miller, A. J., Shen, Q., Xu, G. (2009). Freeways in the plant: transporters for N, P and S and their regulation. Curr. Opin. Plant Biol. 12, 284–290. doi: 10.1016/j.pbi.2009.04.010

PubMed Abstract | Crossref Full Text | Google Scholar

Moreau, D., Bardgett, R. D., Finlay, R. D., Jones, D. L., Philippot, L. (2019). A plant perspective on nitrogen cycling in the rhizosphere. Funct. Ecol. 33, 540–552. doi: 10.1111/1365-2435.13303

Crossref Full Text | Google Scholar

Naseri, A., Alirezalu, A., Noruzi, P., Alirezalu, K. (2022). The effect of different ammonium to nitrate ratios on antioxidant activity, morpho-physiological and phytochemical traits of Moldavian balm (Dracocephalum moldavica). Sci. Rep. 12, 16841. doi: 10.1038/s41598-022-21338-6

PubMed Abstract | Crossref Full Text | Google Scholar

Okamoto, M., Vidmar, J. J., Glass, A. (2003). Regulation of NRT1 and NRT2 gene families of Arabidopsis thaliana: Responses to nitrate provision. Plant Cell Physiol. 44, 304–317. doi: 10.1093/pcp/pcg036

PubMed Abstract | Crossref Full Text | Google Scholar

Perez-Delgado, C. M., Garcia-Calderon, M., Marquez, A. J., Betti, M. (2016). Reassimilation of photorespiratory ammonium in Lotus japonicus plants deficient in plastidic glutamine synthetase. PloS One 11, e0130438. doi: 10.1371/journal.pone.0156568

Crossref Full Text | Google Scholar

Phan, T. C., Tran, D. D., Tran, M. H., Nguyen, T. H., Choudhury, A. T. M. A., Kecskés, M. L., et al (2009). Inoculant plant growth-promoting microorganisms enhance utilisation of urea-N and grain yield of paddy rice in southern Vietnam. Eur. J. Soil Biol. 45, 52–61. doi: 10.1016/j.ejsobi.2008.06.006

Crossref Full Text | Google Scholar

Prinsi, B., Espen, L. (2015). Mineral nitrogen sources differently affect root glutamine synthetase isoforms and amino acid balance among organs in maize. BMC Plant Biol. 15, 96. doi: 10.1186/s12870-015-0482-9

PubMed Abstract | Crossref Full Text | Google Scholar

Rehman, M., Liu, L., Wang, Q., Saleem, M. H., Bashir, S., Ullah, S., et al. (2019). Copper environmental toxicology, recent advances, and future outlook: a review. Environ. Sci. pollut. Res. 26, 18003–18016. doi: 10.1007/s11356-019-05073-6

Crossref Full Text | Google Scholar

Schmitt, O. J., Brunetto, G., Chassot, T., Tiecher, T. L., Marchezan, C., Tarouco, C. P., et al. (2020). Impact of Cu concentrations in nutrient solution on growth and physiological and biochemical parameters of beet and cabbage and human health risk assessment. Sci. Hortic. 272, 109558. doi: 10.1016/j.scienta.2020.109558

Crossref Full Text | Google Scholar

Schulte-Uebbing, L. F., Beusen, A. H. W., Bouwman, A. F., de Vries, W. (2022). From planetary to regional boundaries for agricultural nitrogen pollution. Nature 610, 507. doi: 10.1038/s41586-022-05158-2

PubMed Abstract | Crossref Full Text | Google Scholar

Seliga, H. (1995). Physiological role of copper in dry matter and nitrogen accumulation in Lupinus luteus L. Acta Physiol. Plant 17, 309–314.

Google Scholar

Song, S., Yi, L., Zhu, Y., Liu, H., Un, G. S., Chen, R. (2017). Effects of ammonium and nitrate ratios on plant growth, nitrate concentration and nutrient uptake in flowering Chinese cabbage. Bangladesh J. Bot. 46, 1259–1267.

Google Scholar

Sun, M., Wu, L., Xie, S. (2018). Effect of nitrate and ammonium nutrition on glutamine synthetase activities and relative genes for citrange. Plant Physiol. J. 54, 1703–1710.

Google Scholar

Tabata, S., Kaneko, T., Nakamura, Y., Kotani, H., Kato, T., Asamizu, E., et al. (2000). Sequence and analysis of chromosome 5 of the plant Arabidopsis thaliana. Nature 408, 823–826. doi: 10.1038/35048507

PubMed Abstract | Crossref Full Text | Google Scholar

Tang, Y. F., Sun, X. S., Hu, C. X., Tan, Q. T., Zhao, X. H. (2013). Genotypic differences in nitrate uptake, translocation and assimilation of two Chinese cabbage cultivars [Brassica campestris L. ssp. Chinensis (L.). Plant Physiol. Biochem. 70, 14–20. doi: 10.1016/j.plaphy.2013.04.027

PubMed Abstract | Crossref Full Text | Google Scholar

Tegeder, M., Masclaux-Daubresse, C. (2018). Source and sink mechanisms of nitrogen transport and use. New Phytol. 217, 35–53. doi: 10.1111/nph.14876

PubMed Abstract | Crossref Full Text | Google Scholar

Thomas, G., Andresen, E., Mattusch, J., Hubáek, T., Küpper, H. (2016). Deficiency and toxicity of nanomolar copper in low irradiance-A physiological and metalloproteomic study in the aquatic plant Ceratophyllum demersum. Aquat. Toxicol. 177, 226–236. doi: 10.1016/j.aquatox.2016.05.016

PubMed Abstract | Crossref Full Text | Google Scholar

Thomsen, H. C., Eriksson, D., Moller, I. S., Schjoerring, J. K. (2014). Cytosolic glutamine synthetase: a target for improvement of crop nitrogen use efficiency? Trends Plant Sci. 19, 656–663. doi: 10.1016/j.tplants.2014.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

Tsay, Y., Chiu, C., Tsai, C., Ho, C., Hsu, P. (2007). Nitrate transporters and peptide transporters. FEBS Lett. 581, 2290–2300. doi: 10.1016/j.febslet.2007.04.047

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, X. K. (2006). Principles and techniques of plant physiology and biochemistry. 2nd, ed (Beijing: Higher Education Press).

Google Scholar

Wei, Y., Wang, X., Zhang, Z., Xiong, S., Meng, X., Zhang, J., et al. (2020). Nitrogen regulating the expression and localization of four glutamine synthetase isoforms in wheat (Triticum aestivumL.). Int. J. Mol. Sci. 21, 6299. doi: 10.3390/ijms21176299

PubMed Abstract | Crossref Full Text | Google Scholar

Wei, Y., Xiong, S., Zhang, Z., Meng, X., Wang, L., Zhang, X., et al. (2021). Localization, gene expression, and functions of glutamine synthetase isozymes in wheat grain (Triticum aestivum L.). Front. Plant Sci. 12. doi: 10.3389/fpls.2021.580405

Crossref Full Text | Google Scholar

Wen, X., Hu, C., Sun, X., Zhao, X., Tan, Q. (2019). Research on the nitrogen transformation in rhizosphere of winter wheat (Triticum aestivum) under molybdenum addition. Environ. Sci. pollut. Res. 26, 2363–2374. doi: 10.1007/s11356-018-3565-y

Crossref Full Text | Google Scholar

\Wen, X., Hu, C., Sun, X., Zhao, X., Tan, Q., Liu, P., et al. (2018). Characterization of vegetable nitrogen uptake and soil nitrogen transformation in response to continuous molybdenum application. J. Plant Nutr. Soil Sci. 181, 516–527. doi: 10.1002/jpln.201700556

Crossref Full Text | Google Scholar

Xiong, Z., Liu, C., Geng, B. (2006). Phytotoxic effects of copper on nitrogen metabolism and plant growth in Brassica pekinensis Rupr. Ecotox. Environ. Safe. 64, 273–280. doi: 10.1016/j.ecoenv.2006.02.003

Crossref Full Text | Google Scholar

Zhang, L. L., He, X. J., Chen, M., An, R. D., An, X., Li, J. (2014). Responses of nitrogen metabolism to copper stress in Luffa cylindrica roots. J. Soil Sci. Plant Nutr. 14, 616–624. doi: 10.4067/S0718-95162014005000049

Crossref Full Text | Google Scholar

Zhang, S., Li, G., Wang, Y., Anwar, A., He, B., Zhang, J., et al. (2023). Genome-wide identification of BcGRF genes in flowering Chinese cabbage and preliminary functional analysis of BcGRF8 in nitrogen metabolism. Front. Plant Sci. 14. doi: 10.3389/fpls.2023.1144748

Crossref Full Text | Google Scholar

Zhao, S., Ye, X., Zhang, Y., Zheng, J. (2010). The contribution of bnnrt1 and bnnrt2 to nitrate accumulation varied according to genotypes in Chinese cabbage. Afr. J. Biotechnol. 9, 4910–4917. doi: 10.1186/1471-2164-11-458

Crossref Full Text | Google Scholar

Zhu, W. K., Hu, C. X., Tan, Q. L., Nie, Z. J., Tang, Y. F., Sun, X. C. (2015). Effects of molybdenum application on yield and quality of Chinese cabbages under different ratios of NO3N to NH4+-N. J. Huazhong Agr. Univ. 34, 44–50.

Google Scholar

Zhu, Y., Li, G., Liu, H., Sun, G., Chen, R., Song, S. (2018). Effects of partial replacement of nitrate with different nitrogen forms on the yield, quality and nitrate content of Chinese kale. Commun. Soil Sci. Plant Anal. 49, 1384–1393. doi: 10.1080/00103624.2018.1464179

Crossref Full Text | Google Scholar

Zhu, Y., Qi, B., Hao, Y., Liu, H., Sun, G., Chen, R., et al. (2021). Appropriate NH4+/NO3- ratio triggers plant growth and nutrient uptake of flowering Chinese cabbage by optimizing the pH value of nutrient solution. Front. Plant Sci. 12. doi: 10.3389/fpls.2021.656144

Crossref Full Text | Google Scholar

Zunaira, S., Aneeza, S., Abrar, S., Ghulam, A., Saliha, S., Sana, K., et al. (2020). Copper uptake, essentiality, toxicity, detoxification and risk assessment in soil-plant environment. Chemosphere 259, 127436. doi: 10.1016/j.chemosphere.2020.127436

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: copper, nitrate/ammonium ratios, nitrogen metabolism, gene expression, Chinese cabbage

Citation: Wen X, Xu P, Tang Y, Zhong H, Chen P, Zhu Z, Zhang X, Zhang X and Du A (2024) Effect of copper on nitrogen uptake, transportation, assimilation processes, and related gene expression in Chinese cabbage [Brassica campestris L. ssp. Chinensis (L.)] under various nitrate-to-ammonium ratios. Front. Plant Sci. 15:1427720. doi: 10.3389/fpls.2024.1427720

Received: 04 May 2024; Accepted: 26 August 2024;
Published: 25 September 2024.

Edited by:

Haijun Gong, Northwest A&F University, China

Reviewed by:

Yongxing Zhu, Yangtze University, China
Angel Llamas, University of Cordoba, Spain

Copyright © 2024 Wen, Xu, Tang, Zhong, Chen, Zhu, Zhang, Zhang and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xin Wen, wx0630@zju.edu.cn

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.