Antioxidant response of Lepidium sativum L. to oxidative stress induced by exposure to chosen heavy metals
Online veröffentlicht: 23. Mai 2025
Seitenbereich: 21 - 32
DOI: https://doi.org/10.2478/oszn-2025-0003
Schlüsselwörter
© 2025 Beata Smolińska et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Human activity over the past century has caused significant environmental degradation. One of the world’s most severe environmental problems is the overabundance of heavy metals in soil from sources such as industrial waste, agricultural fertilizers, and roadways [Georgiadou et al. 2018; Vardhan et al. 2019]. The increased concentration of metals in soil leads to higher metal ion accumulation in plants, though the degree and rate of accumulation of specific metals varies by plant species and growth stage [Georgiadou et al. 2018].
Heavy metals that are present in the environment influence all living organisms. Although some of heavy metals are essential for cellular metabolism (Cu, Zn, and Ni), others, like Cd and Pb, are not [Drif et al. 2019]. The toxic effect of heavy metals lies mainly in their ability to bind to proteins, which may lead to the inactivation of crucial enzymes (e.g. ATPases, phosphatases, dehydrogenases) involved in the basic cellular metabolic processes [Dubey et al. 2018]. The adverse effects of heavy metals are primarily associated with the increased production of reactive oxygen species (ROS), which damage cells [Drif et al. 2019; Georgiadou et al. 2018].
Plant species that have been chronically subjected to stress conditions like heavy metal exposure have developed mechanisms to counteract the disruption caused by oxidative stress [Georgiadou et al. 2018]. The early response of plants to stress factors is associated with changes in their transcriptional profile, leading to the synthesis of proteins and metabolites that activate mechanisms to counteract adverse conditions. Abiotic stress factors can cause inhibition of defence responses in plants and thus reduce plant growth and biomass. Moreover, stressful conditions may cause overproduction of reactive oxygen species (ROS) [H. Zhang et al. 2020]. ROS are a universal tool used by cells to fight pathogens and limit the development of infections. The concentration of ROS increases when cells are exposed to abiotic stress factors, such as inappropriate temperature, inappropriate moisture content, or soil contamination with heavy metals.
Some heavy metals, e.g. Mn, Zn, Cu, Ni, are essential for the proper functioning of living organisms, as they can act as a co-factor in many enzymes. For example, Zn is a component of dehydrogenases; Mn and Cu are components of oxidases; and Ni is a component of ureases. Even metals that are essential for living organisms in lower concentrations, where they may take part in their metabolic functions, are toxic in excessive concentrations.
In order to protect their own tissues, plants possess an efficient antioxidant system with both enzymatic and non-enzymatic mechanisms. Enzymes include catalase (CAT); superoxide dismutase (SOD); glutathione peroxidase (GPX); and glutathione transferase (GSTs). Non-enzymatic antioxidants may include polyphenols, flavonoids, glutathione and ascorbate acid [Dumanović et al. 2021].
Abiotic stress occurring during
Garden cress must also maintain its ion balance in order to deal with the effects of salt stress. Garden cress, like many other plants, has the ability to adapt to drought or salinity stress by modifying its osmotic potential. In this process, the plant stockpiles suitable solutes, such as proline and soluble carbohydrates, which aid in preserving cell turgor and safeguarding against dehydration [dos Santos et al. 2022]. Ongoing research is being carried out on stress-response mechanisms in garden cress, with specificities being subject to the nature and severity of the stress. Obtaining a comprehensive understanding of these systems is crucial to developing efficient strategies for enhancing stress tolerance in crops and other plant species.
The objective of this study was to determine the response of
The novelty of this work lies in its comprehensive approach to studying the effects of metal ions on plant metabolism. The specific response under investigation was a change in the concentration of enzymatic and non-enzymatic antioxidants.
All experiments were conducted in a sandy loam soil with a density of 1.2 ± 0.1 g/cm3. pH, organic carbon, total nitrogen, available phosphorus and chosen heavy metal concentration were determined in accordance with methods described by Smolińska [2015].
Acetates of zinc (Zn(CH3COO)2) (Sigma-Aldrich); nickel (Ni(CH3COO)2) (Sigma-Aldrich); and copper (Cu(CH3COO)2) (Sigma-Aldrich), in concentrations given in Table 1, were used as soil pollutants. A suitable dry weight of the soil was emptied onto a plastic foil and then combined with a solution of salts of heavy metals (Zn(CH3COO)2, Ni(CH3COO)2 and Cu(CH3COO)2) to obtain their respective ion concentrations (given in Table 1). Contaminated soil was left for seven days in order to bond the heavy metals with the matrix of the soil, and then subsequently it was properly hydrated. The selection of metal concentrations was based on the Ordinance of the Polish Minister of the Environment dated 09.09.2002, which establishes standards for soil and earth quality (Dz.U.02.165.1359). The lowest concentration of metals introduced to the soil did not surpass the permissible levels of heavy metal concentration in soil specified in the Ordinance. The subsequent concentrations showed evidence of significant soil contamination with heavy metals.
The experiment was conducted on nine different variants of polluted soil (three different heavy metals as soil pollutants in three different concentrations) and a control soil sample that was untreated by heavy metals. 200 g of soil were put into a plastic pot and supplemented by either Zn, Ni or Cu to obtain the concentrations given in Table 1. Soil samples were homogenized and left for seven days to stabilize. Each variant of the experiment was performed in triplicate.
The greenhouse experiment was conducted in soil prepared as detailed in section 2.1.1. 10 g of
Determination of plant mineral composition was performed using the ICP-MS method (Elan DRC-e, Perkin Elmer, SCIEX, USA) after acid mineralization of the aboveground plant samples. 0.3 ± 0.01 g dry weight of plant shoot sample was mixed with 7 mL of concentrated nitric acid (HNO3) (Sigma-Aldrich) and mineralized with the use of microflow mineralizer (Speedwave Two, Berghof, Eningen, Germany). The mineralized samples were then filtered and diluted with distilled water to a volume of 10 mL. The concentrations of Zn, Ni and Co were determined using a inductively coupled plasma excitation mass spectrometer (ICP-MS) and a DRC chamber, which eliminated spectral and matrix interferences. Quantitative analysis was performed with reference to a standard scale made in the laboratory, and rhodium (103Rh) was used as the internal standard. All determinations were provided in three replicates.
H2O2 measurements were performed in accordance with the method described in detail by Smolińska and Bonikowski [2018]. 1 g of plant samples was homogenized with 0.1% trichloroacetic acid (TCA) (Sigma-Aldrich), and then centrifuged for 15 minutes at 4° C at 15,000 rpm. 0.5 ml of the supernatant of each variant and 1 ml of 1 M potassium iodide (KI) (Sigma-Aldrich) were added to 0.5 ml of 10 mM phosphate buffer (Sigma-Aldrich), pH = 7.0, and mixed. The absorbance at 390 nm was measured. The H2O2 content was expressed as the concentration of H2O2 in mM in 1 g of FM.
The total antioxidant activity was determined using the DPPH method [Georgiadou et al. 2016; Su et al. 2007]. 1 g of
The total phenolic compound (TP) content was determined using the colorimetric Folin-Ciocalteu (F-C) method with modifications [Kai et al. 2007]. The assay was performed by adding 0.1 mL of Folin-Ciocalteu reagent (Merck) to 0.1 mL of the test extracts, which had been obtained from plant shoots using an 80% methanol solution (Sigma-Aldrich) as described in section 2.3. After three minutes of incubation in a dark place at room temperature, 1 mL of 7% Na2CO3 (Sigma-Aldrich) was added to the samples and incubated for another 60 minutes. Next, the absorbance at 725 nm was measured against the blank (without extract) sample. All measurements were performed in triplicate and the average absorbance value for the solution was calculated. The polyphenol content was determined from the standard curve, where a methanolic solution of gallic acid was used as the standard. The total polyphenol content was determined as the amount of gallic acid (Sigma-Aldrich) equivalents per gram of fresh weight of the plant (mg GAE/g−1 FW).
1 g of fresh aboveground plant tissue was homogenized with 5 mL of 80% methanol (Sigma-Aldrich) and shaken for 1 hour at room temperature. The total flavonoid content was determined by the colorimetric method using aluminium chloride AlCl3 [Doe et al. 2013]. 1.4 mL of acetic acid/ethanol mixture (1:19) and 100 μl of 5% AlCl3 (Sigma-Aldrich) were added to 1 mL of the extract. Then, after a 30-minute incubation at room temperature, the absorbance was measured against a blank sample (without the presence of extract) at 425 nm. All measurements were performed in triplicate and the average absorbance value was calculated for each sample. The determination was performed with reference to a standard curve for quercetin (Sigma-Aldrich). The flavonoid content was determined from the standard curve and expressed as mg of quercetin equivalent per 1 g fresh weight of plant (mg QE/g−1 FW).
Plant tissues (aboveground parts) were homogenized in a mortar with 0.1M phosphate buffer (Sigma-Aldrich) (pH 7.25). For deproteination, 50% TCA (Sigma-Aldrich) was added and shaken in a vortex for 30 seconds and centrifuged at 3,000 rpm for 10 minutes. The supernatant was transferred to a tube placed in an ice bath. The test and control samples were prepared using the volume of phosphate buffer (Sigma-Aldrich) needed to reach pH 8.2; 0.006 M DTNB (Sigma-Aldrich); 2.5% TCA (Sigma-Aldrich); and supernatant. The absorbance at 412 nm was measured against the control sample exactly two minutes after the supernatant was introduced. The glutathione concentration was calculated from the standard curve and expressed as mM/g−1 (FW) [Giustarini et al. 2014].
Ascorbic acid (AsA) concentrations were determined using reverse high-performance liquid chromatography with diode array detector (RP-HPLC-DAD). A Schimadzu Performance UFLC liquid chromatograph in a two-channel system, equipped with an autosampler and an SPD-M20A detector, was used for analysis. 2 g of fresh aboveground plant parts (stems and leaves) were placed in a 25 mL volumetric flask, and 7 mL of redistilled water was added. The samples were then extracted using an ultrasonic cleaner for 15 minutes. After extraction, 1 mL of the DTT (Sigma-Aldrich) reducing solution was added to the samples, and extraction was carried out again using the ultrasonic cleaner for 15 minutes. Then, 5 mL of Carrez solution I and 5 mL of Carrez solution II (Merck) were added to the samples. Redistilled water was added to the flasks to fill them up to the 25 mL mark, and they were incubated at room temperature in the absence of light for two hours. A 1 mL aliquot of the filtrate was injected into HPLC system. The concentration of ascorbic acid was determined in relation to the calibration curve for L-ascorbic acid.
In order to determine the activity of catalase (CAT), superoxide dismutase (SOD) and pyrogallol peroxidase (POD), plant material was prepared as follows. The aboveground parts of plants were ground with a mortar and pestle, and the soluble proteins were extracted with the chosen extraction buffer (50 mM phosphate buffer (pH 7.0) (Sigma-Aldrich) 1 mM EDTA (Sigma-Aldrich); 1 mM PMSF (Sigma-Aldrich); and 1% (w/v) polyvinylpyrrolidone (PVP) (Sigma-Aldrich)). The homogenate was centrifuged at 15,000 g for 20 minutes at 4 °C, and the supernatant was used for the subsequent enzyme assays.
The supernatant was mixed with 50 mM phosphate buffer (Sigma-Aldrich) and 10 mM H2O2 (Sigma-Aldrich), and the absorbance of sample was recorded immediately at 240 nm using a UV/VIS8453 Spectroquant Nova 400 spectrophotometer (Merck KGaA, Darmstadt, Germany), and after three minutes of incubation at room temperature [Sarker, Oba 2018].The supernatant, mixed with 50 mM phosphate buffer (Sigma-Aldrich) (pH 7.0), was used as a control sample. Catalase activity was defined as 1 U CAT, which is the amount of enzyme required to degrade 1 μM H2O2 per minute at 25 °C (Ɛ = 39.4 mM−1/cm−1).
The superoxide dismutase assay was based on determination of the enzyme ability to inhibit the reduction of NBT-nitro blue tetrazoline [Sarker, Oba 2018]. The reaction mixture contained 2 μM riboflavine (Sigma-Aldrich); 13 mM methionine (Sigma-Aldrich); 75 μM nitroblue tetrazolium chloride (NBT) (Sigma-Aldrich); 0.1 mM EDTA (Sigma-Aldrich); 50 mM phosphate buffer (Sigma-Aldrich) (pH 7.8)); and enzyme extract. The reaction was determined to have started once the 2 μM riboflavin had been added to the tubes with the reaction mixture. The tubes were then placed below a light source consisting of two 15 W fluorescent lamps for 15 min. The reaction was stopped by shutting off the light source and transferring the tubes into a dark room. A control sample, consisting of the whole reaction mixture without any exposure to radiation, was used as a reference. The measurement of absorbance was taken at a wavelength of 560 nm. The unit was 1 U SOD/g−1 FW, defined as the amount of enzyme sufficient for a 50% inhibition of the NBT reduction reaction.
The determination of POD was performed with the use of a modified method of Putter [1974] and Stasolla and Yeung [2008]. The reaction mixture contained 3 mL of 0.1 M phosphate buffer (Sigma-Aldrich) (pH 7.0), 20 mM guaiacol (Sigma-Aldrich) and 0.03 mL of 30% H2O2 (Sigma-Aldrich). 0.1 mL of plant extract was added to this mixture, and the absorbance was measured at 436 nm. Guaiacol peroxidase activity was expressed as mol/g FW, using the value of molar absorption coefficient of tetraguaiacol (Ɛ = 26.6 mM−1/cm−1).
Extracts were prepared by homogenizing 1 g of
Statistica 12.0 software was used for statistical analysis. Conformity of the variables to the normal distribution was tested using the Shapiro-Wilk test. Since the variables did not meet the assumptions for the use of parametric methods, hypothesis verification was performed using non-parametric methods: the Mann-Whitney U test, the Kruskal-Wallis test (along with Dunn’s post-hoc test) and Spearman’s rank correlation coefficient. A significance level of α = 0.05 was assumed. Results were considered statistically significant when the calculated test probability
The results of studies on physicochemical properties of soil studied showed that soil used during the greenhouse experiments was classified as slightly acidic, with pH (H2O) 6.45 ± 0.01. The concentration of organic carbon, total nitrogen and available phosphorus (μg/g−1 soil dry weight) were 5.47 ± 0.83, 0.52 ± 0.10, and 0.38 ± 0.07, respectively. The amount of the above-mentioned macroelements was considered sufficient for
The concentrations of Zn, Ni and Cu in
Free radical DPPH neutralization capacity was correlated with the types of metals used for soil contamination, as well as their concentration. As can be seen in Figure 3, a significant increase in % inhibition of DPPH was observed mostly for
Analysis of the non-enzymatic antioxidant system entailed determining the total polyphenols, flavonoids, glutathione (GSH) and ascorbic acid (AsA) concentrations in
Polyphenol content varied significantly between plants treated by Ni and those treated by Cu. Applying Ni to soil at different concentrations (50, 100 and 300 μg/g−1 soil dry weight) caused polyphenol content to increase by 11.5%, 20.7% and 22.6%, respectively, compared to the control sample.
A similar trend was seen in total polyphenol concentration when soil was treated by increasing the amount of Cu. Cu soil concentrations of 100, 300 and 600 μg/g−1 soil dry weight increased polyphenol concentration by 30.0%, 38.3% and 55.7%, respectively. Based on the results, it can be concluded that Cu was the one factor that led to the most dramatic increase in polyphenols in the examined plants’ tissues.
Figure 4 shows the flavonoid concentration in
The next examination of the non-enzymatic antioxidant system of
Exposure of
The changes in enzyme activity in
SOD activity was also shown to increase as the concentration of metal ions increased in the soil. An increase of SD activity – between 26.4 and 30.0% compared to the control – was also observed at various Zn concentrations (Figure 5). For Ni soil contamination, no significant differences in SOD activity were observed as compared to the control sample. When the plants were stressed with Cu, an increase in the activity of this enzyme was found, reaching its peak in plants harvested from soil polluted by 600 μg/g−1 soil dry weight. This particular treatment increased SOD activity almost twofold compared to the control.
POD is considered to be the primary indicator of antioxidant stress level in plant cells. The results of this study showed that metal ions of every type tested caused an increase in POD activity. The most evident increase was observed in plant samples cultivated in soil with the highest level concentration of Zn added (1,000 μg/g−1 soil dry weight) (Figure 5). The sample with the highest concentration of Cu (600 μg/g−1 soil dry weight) showed a 76.6% increase in POD activity in comparison with the plants grown in the control medium.
As it can be seen in Figure 6, an increase in GSTs activity was observed for ions of all the metals tested. Two exceptions occurred in the soil treated with the lowest and medium concentrations of Ni, where there was initially a reduction of GSTs activity compared to the control sample. At high concentrations of Ni, however, an increase in enzyme activity was noted. The most evident increase in GSTs activity was observed in plants grown in soil treated with 600 μg/g−1 soil dry weight Cu; GSTs activity here was 60.9% higher than in the control sample.
Heavy metals can be dangerous for human health. They can be assimilated directly by the human body via dermal contact or inhalation, or through bioaccumulation in the food chain, via ingestion of animal- or plant-derived food sources [Nazir et al. 2011]. The primary mechanism by which plants acquire metal ions is through absorption and assimilation from the soil. Soil has often served as the primary storage medium for waste materials containing high concentrations of heavy metals [Jadia, Fulekar 2008]. Thus, the analysis of metal ion accumulation in plants is crucial to identifying the level to which a specific metal in the soil can accumulate before it becomes toxic toward plants. The evaluation of metal concentration in the aboveground parts of plants is a highly significant parameter, as it serves as an indicator of plants’ absorption capacity and reflects the their overall uptake capacity for metal ions from the soil solution.
The results of the present study showed that
Heavy metal phytotoxicity is a result of many factors, including complex reactions that occur in the rhizosphere between plants, soil and microbes. Heavy metals present in the soil can act as toxic substances for living organisms due to their chemical properties [Schutzendubel 2002]. The plant responses to Zn, Ni and Cu presented in the study showed uptake of these metals from soil by plant roots, which were then transported into the aboveground parts of
All of tested metals are biologically significant for living organisms. For example, Zn is involved in carbohydrate, auxin and protein metabolism. It also is a cofactor in enzymatic reactions [Ghori et al. 2019]. Zn is a redox-inert metal [Cuajungco et al. 2021]. Ni is classified as a transition element that takes part in the structure of enzymes like SOD. It also plays a role in biochemical processes like metabolism of hydrogen and maintenance of the cellular redox state, as well as stress tolerance and defence efficiency [Ghori et al. 2019].
Cu is an element that takes part in carbon assimilation and ATP synthesis in plants. It has been established as an important constituent of plastocyanins and cytochrome oxidases [Ghori et al. 2019]. Cu is a redox-active metal that can undergo autoxidation, resulting in oxygen free-radical formation and subsequently in hydrogen peroxide and hydroxyl radical production via Fenton-type reactions [Schutzendubel 2002]. The redox potential of elements, as well as their ability to bind to oxygen, nitrogen or sulphur atoms, influences their phytotoxicity. The binding affinity of metals to the aforementioned atoms can lead to inactivation of enzymes due to, for example, their binding to cysteine residues [Schutzendubel 2002].
The phytotoxicity of heavy metals manifests in a variety of physiological and metabolic changes in plants, including decreased seed germination, plant growth reduction and/or photosynthesis disorders [Schutzendubel 2002]. The exposure of plants to heavy metals may also cause overproduction of the reactive oxygen species (ROS), which leads to cellular damage in plants. Counteracting changes in plant cells that occur under ROS requires activation of the plant antioxidant system, including both non-enzymatic and enzymatic antioxidants.
H2O2 is usually produced by superoxide dismutase (SOD) dismutation of oxygen free radicals during electron transport in different compartments of the plant cell and is involved in plant growth, metabolism and stress tolerance [Mariyam et al. 2023]. Its increasing amount in plant tissue indicates oxidative stress.
In the present study, H2O2 was tested to determine if plant exposure to Zn, Ni and Cu increases the formation of one of the ROS in
The free radical-scavenging activity of
In the present study, the total polyphenols and flavonoids increased in
Moreover, the phenolic compounds that are overproduced under heavy metal exposition may be a substrate for some peroxidases. Although the main polyphenol peroxidases include tyrosinase, catechol oxidase and laccase [S. Zhang 2023], flavonoids act as a possible regulator of lipoxygenase, the enzyme that converts polyunsaturated fatty acids into corresponding peroxidases and hydroperoxidases [Kesawat et al. 2023]. It can be observed in the present study’s results that POD activity in
Another non-enzymatic antioxidant that plays a crucial role in plant defence against ROS under heavy metal stress is glutathione (GSH). GSH is an active compound that is oxidized during the degradation of, and thus controls the levels of, hydrogen peroxide in plant cells. Ghori et al. [2019] found that the ratio of ROS between the oxidized forms of GSH to be an indicator of redox balance and ROS generation in the cell. GSH is involved in the detoxification of heavy metals by conjugating with them and transporting them to cells’ vacuoles, where they are detoxified [Ghori et al. 2019]. The concentration of GSH in
Previous studies found that increased GSH biosynthesis enhanced Ni tolerance in
Elevated concentrations of GSH and GSTSs cannot always be correlated with enhanced tolerance of heavy metals in plants [Ghori et al. 2019]. There is not sufficient evidence to support GSH’s role in resistance to heavy metal induced stress [Yadav 2010]. Other antioxidants and repair mechanisms may also participate in the tolerance process. It is known that GSH is vital in the ascorbic acid-GSH cycle, scavenging diverse free radicals and maintaining cellular redox balance [Wu et al. 2020]. However, ascorbic acid (AsA) also plays a significant role in defence mechanisms that occur in plant cells under heavy-metal stress. AsA is crucial for synthesis of phytohormones and effectively counteracts the harmful effect of ROS due to its stability and ability to donate electrons, which are used for the neutralization of hydroxyl, superoxide and tocopherol radicals [Wu et al. 2020]. Approximately 90% of AsA is localized in the cytosol, and thus AsA is the first line of defence against ROS [Kesawat et al. 2023]. The present study showed that AsA concentration in
The conducted research consisted of determining the activity of enzymes that constitute the enzymatic part of antioxidant machinery of plants. Besides of the enzymes mentioned above, the SOD and CAT activity were investigated in
SOD activity in
Comparative analysis of obtained results with results presented by Li et al. [2006] showed similar trends in SOD activity after exposition to Cu and Zn, separately [Barcelos et al. 2018]. Barcelos et al. [2018] showed that increasing concentrations of Cu in the growing medium led to increased SOD activity in
Dismutation of oxide radicals to hydrogen peroxide is the first step of oxygen radical detoxification. Another stage is the transformation of hydrogen peroxide into water and oxygen. This process is conducted by CAT. The ability of CAT to effectively limit hydrogen peroxide concentration in cells underlines its importance to the physiological plant processes that are activated as defence mechanisms against ROS [Wu et al. 2020]. This study found that CAT activity was higher in
These results also confirm the findings of Sida-Arreola et al. [2017], who showed that exposure of
The results of the study showed that all of tested heavy metals can cause oxidative stress in the aboveground parts of
This study finds that concentrations of Zn, Ni and Cu that did not exceed the suggested limits set forth by the Polish Minister of the Environment’s Ordinance from September 9, 2002 for soil and earth quality standards (Dz.U.02.165.1359) nonetheless did cause metabolic changes in