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Modulation of physiological and biochemical traits of two genotypes of Rosa damascena Mill. by SiO2-NPs under In vitro drought stress

BMC Plant Biology volume 22, Article number: 538 (2022) Cite this article

Abstract

Background

Drought is a major abiotic stress that restricts plant growth and efficiency although some nutrients such as silicon improve drought tolerance by regulating the biosynthesis and accumulating some osmolytes. In this regard, a completely randomized factorial design was performed with three factors including two genotypes (‘Maragheh’ and ‘Kashan’), three concentrations of silicon dioxide nanoparticles (SiO2-NPs) (0, 50, and 100 mg L− 1), and five concentrations of PEG (0, 25, 50, 75, and 100 g L− 1) with three replications.

Results

The findings showed that drought stress decreased protein content and it was improved by SiO2-NPs, so the genotype of ‘Maragheh’ treated with 100 mg L− 1 SiO2-NPs had the highest protein content. Under severe drought stress, had a higher membrane stability index (MSI) than ‘Kashan’, and the ‘Maragheh’ explants subjected to 100 mg L− 1 SiO2-NPs exhibited the uppermost MSI. The explants supplemented with 100 mg L− 1 SiO2-NPs sustained their photosynthetic parameters more in comparison with other treatments under drought stress conditions and as well as 100 mg L− 1 SiO2-NPs showed higher content of protein and proline of ‘Maragheh’ than ‘Kashan’. Drought stress reduced Fm, Fv/Fm, and Fv, while SiO2-NPs treatment enhanced these parameters. SiO2-NPs also improved water deficit tolerance by enhancing the activity of antioxidant enzymes such as catalase (CAT), peroxidase (POD), guaiacol peroxidase (GPX), and superoxide dismutase (SOD) and reducing lipid peroxidation and H2O2 concentration.

Conclusions

According to the findings, the genotype ‘Maragheh’ was more tolerance to drought stress than ‘Kashan’ by improving water balance, antioxidant enzyme activities, and membrane stability as it was obtained from the unpublished previous evaluation in in vivo conditions and we concluded based on these results, in vitro culture can be used for drought screening in Damask rose plants. The results of the current study revealed that the induced drought stress by polyethylene glycol (PEG) in two Damask rose genotypes was ameliorated with SiO2-NPs and the tolerance genotypes were better than the sensitive ones in response to SiO2-NPs treatment.

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Background

Rose is one of the most important commercial flowers among ornamentals and it is very popular as an ornamental garden plant, cut flower, potted plant, and also medicinal plant [1]. Rosa damascena Miller var. trigintipetala Dieck is a pink rose that is a hybrid called Rosa × damascena [2]. It has been suggested that Damask rose has been developed in Iran by the hybridization of R. moschata Benth., R. gallica L., and R. feldschenkoana Regel, so its origin is Iran [3, 4] where its essential oil has high quality because of the desired climatic and growing conditions [5]. It can be propagated by all common vegetative methods such as the sucker, cutting, budding, and grafting techniques [6]. Since the mentioned techniques are time-consuming, the use of micropropagation can be useful for producing a lot of genetically similar plants at the same time. Today, the study of abiotic stress by in vitro experiments is considered perfectly acceptable because it simulates the field environment in which plants are exposed to adverse conditions in a controlled manner. On the other hand, screening of many plant genotypes will not be time-consuming by tissue culture method. And also, results and conclusions based on biochemical characteristics of the explant under stress conditions could be more valuable criteria [7].

Drought stress is the most prevailing abiotic stress limiting plant growth and efficiency. Varieties differ in their sensitivity to extreme environmental factors, so one of the most critical breeding ideas could be selecting and improving the tolerance of plants. One of the most important factors limiting crop efficiency under drought stress is photosynthesis inhibition through the reduction of photosynthetic pigments content [8] and the inhibition of photochemical activity [9]. Afterward Water deficit negatively affects plant hydraulic balance represented by a decrease in relative water content (RWC), stomatal conductivity, and transpiration rate of leaves [10]. Diminished photosynthesis and respiration rate lead to the generation and accumulation of reactive oxygen species (ROS) and subsequently, oxidative damage to cell compartments [11].

Silicon plays a major role in plant growth and development as an essential element [12]. It has been demonstrated that silicon by different methods may enhance plant efficiency and improve plant tolerance to a variety of biotic and abiotic stress [13, 14]. It is assumed that nanoparticles are an alternative tool to overcome different challenges in crop productivity, such as increasing quantitative and qualitative factors of different crops either in stressed or non-stressed conditions with enhancing elements’ efficiency. In fact, plant cells absorb silicon nanoparticles (SiO2-NPs), which increases tolerance to stress [15] including extreme temperatures and drought [16,17,18] by enhancing cell wall rigidity [19]. According to Hajizadeh et al. [20], SiO2-NPs could improve the growth and biochemical and physiological traits of Gerbera jamesonii under salinity (30 mM) by increasing Ca and K absorption and decreasing Na absorption. The application of SiO2-NPs in strawberries exposed to salt [21] and drought [22] showed potential for modulating stresses by increasing antioxidant enzyme activities, such as CAT, APX, GPX, and SOD, and decreasing MDA and H2O2 content. Avestan et al. [23] suggested that the addition of SiO2-NPs to the MS (Murashige and Skoog) medium improved the proliferation and growth of apple explants.

Based on Al-Yasi et al. [24], the Damask rose is a plant with moderate tolerance to drought stress. This species uses two major mechanisms for drought tolerance including osmotic and elastic adjustment in 25% FC. It was shown that the application of SiO2-NPs at 50 and 100 mg L− 1 concentrations increased the proliferation of apple explants in control plants [25]. Under 15% PEG, the growth parameters, protein and chlorophyll content were decreased in Phoenix dactylifera explants, while adding 3.6 mM Si to the growth medium increased all these parameters, as well as CAT and SOD [26]. However, it was reported the amount of proline was decreased by adding Si to the medium [27]. The reduction of water resources along with climate change, is the current challenge of agriculture and will be so dangerous in the future. On the other hand, the positive effects of Si, especially in the form of nanoparticles, have been claimed in recent years [28]. Because of the economic importance of the Damask rose, substances like SiO2-NPs should be investigated for their protective abilities and the alleviation of the unfavorable influences of drought stress. Based on the previous studies in vitro culture screening allows the selection drought tolerant plants which there are no information in literatures about the screening of rose plant in tissue culture condition under drought stress. And also, the following objectives were focused on in this research: 1) rapid and precise recognition of the tolerant genotype evaluated 15 days after the use of the osmotic solution and SiO2-NPs treatment, while this can take one or 2 years in field investigations; 2) expansion of an in vitro selection approach for drought tolerance in Rosaceae families, which has not been done so far. We selected two Iranian landraces of Damask rose with different characteristics to drought tolerance to achieve these goals.

So, the present study aimed to investigate the response of two Rosa damascena genotypes ‘Kashan’ and ‘Maragheh’ by adding SiO2-NPs under in vitro culture conditions and to evaluate the potential of SiO2-NPs for modulating drought stress by measuring physiological and biochemical traits and we can trust to the technique for evaluation and screening more genotypes and choose better them for planting in the arid and semi-arid areas of Iran, which it has not been reported so far.

Results

Physiological traits of damask rose in response to SiO2-NPs treatment under in vitro drought stress

Leaf relative water content (RWC)

Drought stress considerably enhanced RWC content in the Damask rose genotypes and decreased by nanosilicon. The RWC of the genotypes ‘Maragheh’ and ‘Kashan’ subjected to drought stress was reduced by up to 57 and 51%, respectively. However, RWC was increased in the plants treated with SiO2-NPs. The highest and the lowest RWC were observed in the rose plants exposed to 100 mg L− 1 SiO2-NPs × no drought stress and 100 g L− 1 PEG × 0 SiO2-NPs, respectively. In general, the RWC of genotypes was significantly affected by SiO2-NPs, so ‘Maragheh’ had a higher RWC (35.57%) than ‘Kashan’ (26.68%) in severe drought stress × 100 mg L− 1 SiO2-NPs (Fig. 1a).

Fig. 1
figure 1

The effect of SiO2-NPs application under drought stress induced by PEG on leaf relative water content (RWC) (a) and leaf membrane stability index (MSI) of two Damask genotypes (b). Different letters indicate significant differences according to the LSD test at P < 0.05

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Membrane stability index (MSI)

In the Damask rose explants subjected to drought stress MSI was reduced, while it was ameliorated by the SiO2-NPs application. The maximum and minimum MSI belonged to the genotype ‘Maragheh’ treated with 100 mg L− 1 SiO2-NPs without drought stress and the genotype ‘Kashan’ treated with 100 g L− 1 PEG without any treatment. The reduction of MSI was observed in ‘Kashan’ (37.3%) and ‘Maragheh’ (28.9%) in 100 g L− 1 PEG × 100 mg L− 1 SiO2-NPs compared to the plants subjected to 100 g L− 1 PEG × 0 mg L− 1 SiO2-NPs (Fig. 1b). The diminution of MSI in the genotype ‘Kashan’ was more than the genotype ‘Maregheh’ by 58 and 40% under drought stress and by 24 and 21% in the SiO2-NPs treatment, respectively.

Photosynthetic pigments

Drought stress decreased Chl a by 104% (Fig. 2a), but the application of SiO2-NPs improved Chl a by 42% (Fig. 2b). Drought stress also reduced Chl a, Chl b, and total Chl content such that the highest belonged to the control of ‘Maragheh’ without any treatments, and the lowest was observed under 100 g L− 1 PEG in ‘Kashan’, while the reduction was greater in ‘Maragheh’ than ‘Kashan’ (Fig. 2c, d, and f). The SiO2-NPs treatment enhanced the Chl b and total Chl content of both Damask genotypes. The Chl b content was increased more in ‘Maragheh’ (up to 71%) than ‘Kashan’ (up to 66%), while the enhancement of total Chl (Fig. 2g) was the same in the two genotypes (up to 52%) (Fig. 2e).

Fig. 2
figure 2

The effect of drought stress on Chl a (a), SiO2-NPs on Chl a (b), drought stress × genotype on Chl a (c), drought stress × genotype on Chl b (d), SiO2-NPs × genotype on Chl b (e), drought stress × genotype on total Chl (f) and SiO2-NPs × genotype on total Chl (g). Different letters indicate significant differences according to the LSD test at P < 0.05

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Drought stress decreased the carotenoid content of the genotypes ‘Maragheh’ and ‘Kashan’ by 50 and 58%, respectively, but the SiO2-NPs application recovered and increased this trait (Table 1).

Table 1 The effect of PEG and SiO2-NPs on carotenoid, Fv, and Fv/Fm contents of the genotypes ‘Maragheh’ and ‘Kashan’
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Fluorescence parameters

Water deficit had no significant effect on F0 but significantly reduced the Fm parameter in the Damask roses. The lowest Fm was observed under 75 and 100 g L− 1 PEG × 0 mg L− 1 SiO2-NPs treatment (Fig. 3a), while the plants treated with 100 mg L− 1 SiO2-NPs had the highest Fm (Fig. 3b). Furthermore, water deficit reduced Fv and Fv/Fm in both genotypes (Table 1); Nonetheless, SiO2-NPs led to an enhancement in the attributes under drought stress compared to the plants that were not treated with SiO2-NPs. However, Fv and Fv/Fm were higher in ‘Maragheh’ either with or without SiO2-NPs application than ‘Kashan’ (Table 1).

Fig. 3
figure 3

The interactive effect of drought stress × SiO2-NPs on Fm (a) and different levels of SiO2-NPs of two Damask genotypes on Fm (b). Different letters indicate significant differences according to the LSD test at P < 0.05

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Biochemical traits of damask rose in response to SiO2-NPs treatment under in vitro drought stress

H2O2 and MDA

According to the results in Table 2, the H2O2 and MDA contents were increased in both genotypes under drought stress. For example, the highest H2O2 (3.89 μg L− 1) and MDA (4.12 nm g− 1 FW) were related to the genotypes ‘Maragheh’ and ‘Kashan’ treated with 100 g L− 1 PEG, respectively, while the lowest H2O2 and MDA contents belonged to ‘Maragheh’ under severe drought stress and the application of 100 mg L− 1 SiO2-NPs. So, the Damask rose genotypes ‘Maragheh’ and ‘Kashan’ explants supplemented with 100 mg L− 1 SiO2-NPs revealed lower H2O2 (30 and 14%) and MDA (48 and 24%) contents (Table 2) under 100 g L− 1 PEG, respectively.

Table 2 The effect of PEG and SiO2-NPs on H2O2, MDA, and protein content of the genotypes ‘Maragheh’ and ‘Kashan’
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Total soluble protein content (TSP)

The TSP content showed a significant difference between the two genotypes exposed to the SiO2-NPs treatment under drought stress. According to Table 2, protein content had a decreasing trend in both genotypes along with increasing the PEG concentration. The ‘Maragheh’ Damask explants treated with 100 mg L− 1 SiO2-NPs had the highest TSP content (2.2 mg g− 1 FW) and the ‘Kashan’ Damask explants subjected to 100 g L− 1 PEG without SiO2-NPs had the lowest content of protein (0.7 mg g− 1 FW). With increasing the PEG concentration, the TSP content was diminished by 41 and 89% in ‘Maragheh’ and ‘Kashan’, respectively. However, the rose explants treated with 50 and 100 mg L− 1 SiO2-NPs slowed down the reduction process by 19 and 20% in ‘Maragheh’ and 56 and 49% in ‘Kashan’, respectively (Table 2). In general, ‘Maragheh’ under severe drought stress had a higher TSP content than ‘Kashan’.

Proline

The PEG-induced drought stress and SiO2-NPs treatment of the Damask roses were caused to significant differences in proline content (Fig. 4a). Increasing drought stress led to an enhancement of proline content which 100 g L− 1 PEG enhanced it 2.5 folds than the control plants. However, the explants subjected to SiO2-NPs revealed a reduction in proline content, and 100 mg L− 1 SiO2-NPs was more effective than 50 mg L− 1 SiO2-NPs that declined 21 and 35%, respectively at higher PEG treatment compared to the control (Fig. 4a). The results showed that proline content increased in both Damask rose genotypes under PEG-induced drought stress (Fig. 4b). The effect of SiO2-NPs in the two Damask rose genotypes revealed that proline content was higher in ‘Maragheh’ by 9% than ‘Kashan’ (Fig. 4c), and there was no significant difference in other concentrations of SiO2-NPs between the two genotypes as illustrated in Fig. 4c.

Fig. 4
figure 4

The interactive effect of drought stress × SiO2-NPs on leaf proline content (a), drought stress × genotype on proline content (b), and SiO2-NPs × genotype on proline content. Different letters indicate significant differences according to the LSD test at P < 0.05

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Antioxidative enzyme activity

With increasing the PEG concentration, the GPX and POD activities were enhanced in both genotypes (Table 3) although ‘Maragheh’ had higher GPX activity in 100 g L− 1 PEG than ‘Kashan’. However, the Damask rose explants exposed to different levels of SiO2-NPs up-regulated the POD and GPX activities. According to Table 3, the effect of SiO2-NPs, especially at the high level (100 mg L− 1), was very obvious in modulating the activities of these enzymes in ‘Maragheh’. Also, increasing the concentration of PEG and SiO2-NPs increased SOD and CAT activities (Table 3).

Table 3 The effect of PEG and SiO2-NPs on the SOD, POD, GPX, and CAT activity of the genotypes ‘Maragheh’ and ‘Kashan’
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On the other hand, the genotype ‘Maragheh’ had higher enzyme activity than ‘Kashan’ so the SOD activity was 1.30 and 1.15 Unit mg− 1 protein and the CAT activity was 0.68 and 0.52 Unit mg− 1 protein under 100 g L− 1 PFG × 100 mg L− 1 SiO2-NPs in ‘Maragheh’ and ‘Kashan’, respectively. The application of 100 mg L− 1 SiO2-NPs × severe drought stress up-regulated the SOD activity by 41 and 28% in ‘Maragheh’ and ‘Kashan’, respectively, and 100 mg L− 1 SiO2-NPs was more effective than 50 mg L− 1 SiO2-NPs while the CAT activity was increased by up to 28 and 44% in ‘Maragheh’ and ‘Kashan’ at the same conditions, respectively (Table 3).

Multivariate analysis of damask rose genotypes under PEG and SiO2-NPs treatments

The analysis of Pearson correlation demonstrated that the photosynthetic pigments were positively correlated with RWC and MSI, chlorophyll fluorescence parameter, and protein. Similarly, the correlations detected between MAD, proline, and H2O2 were positive while they displayed a negative correlation with photosynthetic pigments, RWC, chlorophyll fluorescence parameters, and protein. The antioxidant enzymes, including SOD, POD, GPX, and CAT, had a significant positive correlation with each other, which is illustrated in Fig. 5.

Fig. 5
figure 5

Pearson correlation analysis of SiO2-NPs treatment and variable trait relationship in damask under control and different drought conditions. The heat map of the Pearson correlation coefficient (r) values of variable traits, where the colored scale indicates the positive (blue) or negative (red) correlation and the ‘r’ coefficient values (r = − 1.0 to 1.0). The tested variables included carotenoids (CARs), Chl a, Chl b, ChlT, relative water content (RWC), membrane stability index (MSI), maximum PSII (Fv/Fm), protein (Pro), maximal fluorescence from dark-adapted leaf (Fm), variable fluorescence (Fv), malondialdehyde (MDA), hydrogen peroxidase (H2O2), proline (Pro), peroxidase (POD), superoxide dismutase (SOD), guaiacol peroxidase (GPX), and catalase (CAT)

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The Heat map analysis based on the reaction of the Damask rose genotypes to the SiO2-NPs treatment under water deficit induced by PEG applications in in vitro conditions uncovered that the attributes including proline, H2O2, MDA, MSI, POD, GPX, CAT, and SOD activity had a positive correlation with drought stress although the SiO2-NPs treatment decreased them at moderate water deficit. On the other hand, some traits, such as RWC, Chl a, b and total, CARs, total soluble protein content, Fv, Fm, and Fv/Fm, showed a negative correlation with drought stress, but the SiO2-NPs application modulated the traits (Fig. 6a).

Fig. 6
figure 6

The heat map (a) and loading biplot of the recorded traits (b) of the physiological and biochemical alterations in Rosa damascena genotypes under induced-drought stress by PEG and treated with SiO2-NPs application under in vitro culture. The heat map represents relative water content (RWC), membrane stability index (MSI), chlorophyll a (Chl a), chlorophyll b (Chl b), total chlorophyll (Total Chl), carotenoids (CARs), proline content, malondialdehyde (MDA), H2O2 content, total soluble protein content, guaiacol peroxidase (GPX) activity, catalase (CAT) activity, superoxide dismutase (SOD) activity, Fv, Fm and Fv/Fm. G, D, and T for Damask rose genotypes, drought stress induced by PEG, and SiO2-NPs

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Cluster analysis and dendrograms in the heat map (Fig. 6) showed three major groups in the measured traits of the Damask rose genotypes under drought stress and SiO2-NPs application. Group I contained RWC, photosynthesis pigments, total soluble protein content, Fv, Fm, and Fv/Fm; group II contained antioxidant enzyme activity, and group III contained MSI, MDA, proline, and H2O2 content (Fig. 6a). Moreover, the biplot of the variables confirmed the heat map cluster analysis in which the traits were classified into three groups as already mentioned (Fig. 6b). In general, the cluster analysis of the heat maps for the Damask rose genotypes treated with SiO2-NPs under drought stress induced by PEG treatments indicated two main groups. Group I included the Damask rose of ‘Maragheh’ treated with 0, 50, and 100 mg L− 1 of SiO2-NPs under drought stress induced with 0, 25, and 50 g L− 1 PEG and Damask rose ‘Kashan’ treated with 0, 50, and 100 mg L− 1 of SiO2-NPs in the absence of drought stress. Group II included ‘Maragheh’ under severe drought stress (75 and 100 g L− 1 of PEG) and treated with 0, 50, and 100 mg L− 1 of SiO2-NPs and ‘Kashan’ under zero, moderate, and severe drought stress and treated with 0, 50 and 100 mg L− 1 of SiO2-NPs (Fig. 6a).

Discussion

Physiological traits

One of the most suitable traits for measuring the plant hydraulic balance in water deficiency is leaf relative water content (RWC). According to the results, the water status of ‘Maragheh’ was higher than ‘Kashan’, especially under severe drought stress. The application of 100 mg L− 1 SiO2-NPs induced 51 and 29% increases in RWC under severe drought stress in ‘Maragheh’ and ‘Kashan’, respectively. The same findings were demonstrated by Hajizadeh et al. [20] and Ahmadian et al. [29] under salinity and drought stress, respectively. The accumulation of silicon in the cell wall apoplast of the leaf tissue led to higher strength [30]. In this regard, it has been demonstrated that sedimentation of silicon in the endodermal walls of cells, as an apoplastic fluid, keeps moisture of the plant under water deficiency [31]. Under drought stress, lipid peroxidation decreases cell membrane stability. On the other hand, increasing membrane stability index by silicon treatment has also been reported in various studies [32, 33]. The genotype ‘Maragheh’ treated with 100 mg L− 1 SiO2-NPs without drought stress had a stronger membrane with a high membrane stability index (82.28%), while the lowest MSI was related to ‘Kashan’ (36.91%) exposed to 100 g L− 1 PEG without SiO2-NPs. This result is complemented by the MDA content, which was the highest in ‘Kashan’ under severe water deficit without SiO2-NPs. Silicon can decrease the adverse effects of water deficiency via an increase in water uptake and/or the decrease in transpiration, modulation in the cell wall formation, increase the strength of individual organelles of the plant [34], finally enhances photosynthesis and improves the plant tolerance to drought stress [35]. Drought stress significantly reduced the content of photosynthetic parameters in water deficit-stressed plants versus the control, especially for the 100 g L− 1 PEG treatment where there was a 38% decrease in the total chlorophyll. The carotenoid content also showed the highest decline in ‘Kashan’ under severe drought stress and without SiO2-NPs treatment. The reduction of chlorophyll biosynthesis under water deficit stress can be related to the competition between glutamyl kinase (a catalyzing enzyme of proline) [36] and glutamate ligase (the first enzyme in the biosynthetic pathway of chlorophyll) [37], which caused glutamate precursors to be used more for proline biosynthesis than for chlorophyll biosynthesis. Also, the up-regulation of the chlorophyllase activity under drought stress can be the other reason for the loss of chlorophyll [38]. The treatment with SiO2-NPs increased Chl a, Chl b, and total chlorophyll and carotenoid content in comparison with the plants under stress and non-stress conditions and without SiO2-NP. The beneficial effects of Si or SiO2-NPs in water-stressed plants could be ascribed to the increased photosynthetic efficiency, and stomatal conductivity using increased potassium uptake, which is responsible for stomatal conductivity and translocation of potassium to the guard cells of stomata [39], and water use efficiency; traits that, in turn, improved plant tolerance [40]. The same results regarding the improvement of photosynthetic efficiency rate were observed in our study. However, the carotenoid content of the leaves was increased in severe drought stress by 18 and 22% in ‘Maragheh’ and ‘Kashan’, respectively as treated with 100 mg L− 1 SiO2-NPs. These findings were in agreement with Ghorbanpour et al. [41] results.

The reduction of the Fv/Fm values reveals serious damage to PSII and possible changes in plant photosynthetic rate exposed to stress conditions [42]. In the present work, fluorescence chlorophyll parameters decreased significantly under drought stress; however, the treatment with SiO2-NPs, especially at the 100 mg L− 1 concentration, decreased them at a lower rate. With the increase in drought stress from 0 to 100 g L− 1, the maximum PSII efficiency was decreased by 7.6 and 6.7% in ‘Maragheh’ and ‘Kashan’, respectively. However, the application of 100 mg L− 1 SiO2-NPs led to an increase in the efficiency of photosynthesis so that ‘Maragheh’ had higher photosynthetic efficiency than ‘Kashan’. Lower Fv/Fm in this study can be related to the damage to chloroplasts, which can be verified with the data related to chlorophyll reduction. Earlier work has shown that silicone increases photosynthetic pigments in various plants in stressed and control conditions [43]. In this work, although drought stress was related to lower Fv/Fm value, they were significantly higher in Damask explants treated with Si under drought stress. The findings indicated that drought stress led to a decrease in Fm and Fv values. Probably the reason for the positive effect of Si in maintaining plant hydraulic balance and increasing stomatal conductivity against more water loss is higher water uptake as demonstrated by Shen et al. [35]. Silicon transmits light to the leaf mesophyll, which is the photosynthetic active center and increases the photosynthesis rate [44] by increasing Fv/Fm values [45], improving the maximum performance of Quantum PSII and preserving the integrity of chloroplasts despite the severe oxidative stress [46]. Moreover, it has been demonstrated that Si most likely has a cofactor role in most enzymatic reactions involved in mesophyll biosynthetic pathways [47]. Therefore, the Si-treated explants preserved a higher amount of chlorophyll under drought stress conditions, which is consistent with Maghsoudi et al. [44]. According to the results of Atal et al. [48], a decrease in Fm was also observed. Kaufman et al. [49] suggested that silicon settled in the epiderm of plant cells in the form of silica and improved photosynthetic efficiency by transferring light to the mesophyll as mentioned before.

Biochemical traits

Water deficit is closely attributed to the production of ROS, especially hydrogen peroxide and superoxide anion in water deficit conditions, which may, in turn, damage membranes and cause electrolyte leakage [50]. In the present study, against the increased levels of CAT and ascorbate peroxidase activities, higher levels of H2O2 and MDA were accumulated in drought-stressed explants, which might be due to enhanced photorespiration. However, the application of SiO2-NPs decreased the amount of H2O2 and MDA in the genotype ‘Maragheh’ more than ‘Kashan’. Similar to our results, Gunes et al. [51], Shi et al.Also demonstrated that the amount of MDA decreased in Si-treated sunflowers during water deficit stress. [52]silicon caused to increase in the activity of SOD and CAT and improved water uptake by tomatos observed that .

Proline plays a role as an osmoprotectant molecule and is accumulated under water deficit and salinity [53], which is observed in the present work, as well. In our study, leaf proline concentration was significantly increased in drought-stressed plants but not in response to the application of nano silicon, which was not in line with some other researchers [54] although some reports have shown a reduction in proline content with increasing the concentration of applied silicon [55]. According to the interaction between drought and SiO2-NPs, the lowest amount of proline was related to the control plants treated with 100 mg − L1 SiO2-NPs. In some plants, changes in proline levels are related to their stress tolerance [56] as proline causes the hydration of biomolecules and serves as energy as a nitrogen reserve source [57]in some of the studies tolerant than ‘Kashan’ . ‘Maragheh’ with a high level of proline and protein content seems to be more water stress-[58]. The plant protective systems for overcoming the harmful effects of ROS derived from water deficit stress use antioxidant enzymes including SOD, glutathione peroxidase, and CAT and in this regard, Cu/Zn-SOD, is more important than other antioxidant enzymes under water deficit [59]. It seems that the ability of each enzyme in scavenging free radicals differs from species to species as the activity of antioxidant enzymes, such as GPX, POD, CAT, and SOD, in ‘Maragheh’ were higher than ‘Kashan’ and also the application of SiO2-NPs up-regulated them in ‘Maragheh’. Saed-Moucheshi et al. [60] demonstrated that plants with high levels of antioxidant enzyme activities are more resistant to oxidative damage as the activity of component enzymes are usually only doubled in response to many stress conditions. According to earlier studies, the application of exogenous silicon improves the ROS scavenging capability of antioxidant enzymes by regulating their activities [61, 62]. Similar to Gong et al. [63], the treatment of wheat plants with silicon led to high drought tolerance by increasing the activities of antioxidant enzymes, including CAT, SOD, and glutathione reductase. Also, Shi et al. [52] reported an increase in the activities of SOD and CAT in Si-treated tomato plants under water deficit. The mechanisms of the silicon in increasing the activities of the antioxidative enzymes can be related to the protection of cell membranes via the prevention of proteases from access to the internal proteins of the membrane and also preventing membrane disruption and loss of integrity [63].

Conclusion

The present work aimed to investigate the physiological and biochemical responses of two Damask rose ‘Maragheh’ and ‘Kashan’ to different water deficits and compare their tolerance in response to SiO2-NPs. Water deficiency leads to adverse effects in plants, which is associated with the reduction of photosynthetic pigments and reduceed the performance, but the Damask rose ‘Maragheh’ uses the mechanism of osmotic regulation by increasing the amount of proline, protein and antioxidative enzymes activities to withstand against drought stress.

According to the modulative effects of SiO2-NPs under drought stress which are more obvious in preserving the strength and of leaf structure, and also its key role in biochemical processes, including the intracellular synthesis of organic compounds, it seems that treatment of Damask roes with SiO2-NPs under drought stress is an appropriate way for the cultivation of Damask rose in arid and semi-arid origins of Iran to have an economical performance. According to the positive effects of SiO2-NPs in both genotypes under control conditions in proline production, antioxidative enzyme activation, and photosynthetic pigments preservation, So, the use of genotypes with inherent tolerance potential to water deficit, will double the SiO2-NPs efficiency in achieving this goal. These results suggested that ‘Maragheh’ may tolerate water deficiency better than ‘Kashan’ by treating it with SiO2-NPs.

Methods

Experiment design

The purpose of this work was to stimulate drought stress using PEG 6000 and modulate it by SiO2-NPs in two Iranian Damask rose genotypes under in vitro conditions. In this case, according to our preliminary experiments about the response of different genotypes to water deficiency, two genotypes of Damask rose were chosen for the present work [64]. The research was conducted as a factorial experiment based on a completely randomized design with three factors. The first factor was two genotypes (‘Maragheh’ and ‘Kashan’), the second factor was PEG concentration (0, 25, 50, 75, and 100 g L− 1) and finally, the third factor was SiO2-NPs concentration (0, 50, and 100 mg L− 1) with three replications. Explants were selected from one-year branches (0.4-0.6 cm in diameter) of two local Damask roses (R. damascena Mill.) from the University of Maragheh in northwest of Iran (37.3892° N, 46.2534° E) and Kashan (33.9850° N, 51.4100° E) in the central region of Iran. The plant material and shoots for wild collections were obtained under the supervision and permission of the Maragheh University guidelines and according to national guidelines and all authors complied with all the local and national guidelines. The central part of the vegetative shoots of three-year-old Damask roses at the active growth stage having axillary buds were chosen for the experiment. At the first, 1.5-2 cm of the shoot explants were disinfected with 10% (v/v) NaOCl (5.25%) for 20 min and then rinsed with running tap water for 15 min. The explants were sterilized with 10% Clorox solution for 15 min and then washed three times in ddH2O. Finally, they were planted in culture bottles having 25 ml of MS medium [65] and vitamins plus 7.5 g L− 1 Agar combined with minerals and 30 g L− 1 sucrose. The pH of the media was adjusted to 5.7 using NaOH or HCl. All culture vessels containing explants were placed in a growth chamber at 25 °C and 8 hours of darkness, 16 hours of lightness, and 60-70% humidity. Approximately 7 days after the establishment of the explants, the first traces of bud growth appeared, and finally, after four to 5 weeks, when the explants had grown sufficiently, they were taken out of the growth chamber to be filled and placed in a proliferating MS medium including 360 μg− 1 L BA and 30 μg L− 1 NAA. For the experiment we used proliferated plants (~ 4 cm) after 35 days as an experiment explant (Fig. 7) and transferred them to sterile culture vessels including 25 ml of MS medium (five shoots per culture vessel) as experiment materials.

Fig. 7
figure 7

a In vitro shoot proliferation of Damask rose, b the shoots regenerated from one explant.

Full size image

Preparing the treatment medium including PEG and SiO2-NPs

Polyethylene glycol was used to induce drought stress. For this purpose, the treatments were applied at five levels (0, 25, 50, 75, and 100 g L− 1) or with an osmotic pressure of 0, − 0.2, − 0.5, − 0.7, and − 0.9 MPa on two genotypes. After preparing the propagation medium, the shoots were placed in the culture medium. After preparing the concentrations and complete dissolution of PEG in water and adjusting the pH, it was added to the culture medium so that it was one centimeter higher than the medium, then five shoots were placed in each bottle and transferred to the growth chamber and the level of proliferation of explants was evaluated after 4 weeks. The nanoparticles of silicon (size<50 nm) used in our experiment were bought from NANOSANY Corporation (Mashhad, Iran) the same as our last work [20], and prepared at three levels (0, 50, and 100 mg L− 1). They were, then, supplemented to the culture medium in phase suspension in MS medium [66]. Then, five shoots were placed in each glass and transferred to the growth chamber. After about 14 days, there were collected and their traits were measured. All in vitro cultures were maintained at 23 ± 2 °C under a 16/8 h day/night photoperiod provided by cool white fluorescent lamps at 40 μmol m− 2 s− 1 (Philips TLD 36 W/95). After about 14 days, they were collected to measure the traits.

Measurement of physiological traits of Rosa damascena

Leaf relative water content

The amount of leaf RWC was determined in the fully expanded topmost leaf of the explants. At first, the fresh weight of the leaves was recorded and then they were plunged in ddH2O in a Petri dish. After 2 hours and removing the surface water of the samples, their turgid weights were recorded. The sample leaves were then placed in an oven at 70 °C and dried to reach a stable weight. The leaf RWC was calculated with the method described by Turner [67] as the following formula (1):

$${\displaystyle \begin{array}{c}\textrm{RWC}\%=\left(\textrm{Fresh}\ \textrm{Weight}-\textrm{Dry}\ \textrm{Weight}\right)\times 100\\ {}\textrm{Turgid}\ \textrm{Weight}-\textrm{Dry}\ \textrm{Weight}\end{array}}$$
(1)

Membrane stability index

The leaves were cut into small samples of the same size. Then, the leaf discs were weighed and transferred to the test tubes containing 10 mL of ddH2O. The tubes were transferred to a water bath at 40 °C for 30 min and then the EC of the samples was recorded. The samples were placed in other test tubes and incubated at 100 °C in the boiling water bath for 15 min, and their EC was recorded as mentioned before. The amount of MSI was evaluated by the following formula (2) [68]:

$$\textrm{EL}\%=\left[\ \textrm{EC}1/\textrm{EC}2\right)\Big]\times 100$$
(2)

Measurement of photosynthetic pigments and chlorophyll fluorescence of leaf

Chlorophyll a, chlorophyll b, total chlorophyll, and carotenoids were evaluated in the leaves of the explants according to Arnon [69] method using a spectrophotometer (Shimadzu, Model UV 1800, Kyoto, Japan) at 470, 663, and 645 nm, respectively and expressed in mg g− 1 FW using formula (3)-(6). The chlorophyll parameters of the Rosa damascena explants were measured using a portable photosynthesis meter (Walz GmbH Eichenring, 691,090 Efeltrich, Germany) at the end of the experiment. Minimal fluorescence, F0, was evaluated in leaves after 30 min of dark-incubation. Then, these leaf samples were used under full light conditions to determine the maximal fluorescence, Fm. Maximal variable fluorescence (Fv) and photochemical efficiency of PSII (Fv/Fm) were, then, evaluated from the recorded parameters [66].

$$\textrm{Ch}1\ a\ \left(\textrm{mg}\ {\textrm{g}}^{-1}\ \textrm{FW}\right)=\left[\right(12.7\left({\textrm{A}}_{663}\right)-\left(2.69\left({\textrm{A}}_{645}\right)\right)\Big]\times \left(\frac{v}{1000w}\right)$$
(3)
$$\textrm{Chl}\ b\ \left(\textrm{mg}\ {\textrm{g}}^{-1}\textrm{FW}\right)=\Big[\left(22.9\left({\textrm{A}}_{645}\right)-\left(4.68\left({\textrm{A}}_{663}\right)\right)\right]\times \left(\frac{v}{1000w}\right)$$
(4)
$$\textrm{Total}\ \textrm{Chl}\ \left(\textrm{mg}\ {\textrm{g}}^{-1}\textrm{FW}\right)=\left[\right(20.2\left({\textrm{A}}_{645}\right)+\left(8.02\left({\textrm{A}}_{663}\right)\right)\Big]\times \left(\frac{v}{1000w}\right)$$
(5)
$$\frac{\textrm{Carotenoids}\ \textrm{content}=\left[100\left({\textrm{A}}_{470}\right)+3.27\left(\textrm{mg}\ \textrm{Chl}\ a\right)-104\left(\textrm{mg}\ \textrm{Chl}\ b\right)\right]/227}{v:\textrm{final}\ \textrm{volume}\ \textrm{and}\ w:\textrm{shoot}\ \textrm{fresh}\ \textrm{weight}}$$
(6)

Measurement of biochemical traits of Rosa damascena

Hydrogen peroxide (H2O2) determination

The amount of hydrogen peroxide in the explants was determined with the method previously established by Liu et al. [70]. In this case, 0.5 g of leaf tissues were ground in liquid nitrogen and potassium phosphate buffer (KPB) (pH 6.8). The grounded leaf samples were centrifuged at 7000 rpm for 25 min at 4 °C. A 100-μL aliquot of the supernatant was added to 1 mL of Xylenol solution. The solution was then completely mixed and left to rest for 30 min. The amount of hydrogen peroxide, which is directly related to the intensity of the color and represents its amount in the samples, was evaluated by a spectrophotometer (Shimadzu, Japan) at 560 nm and recorded as μmol g− 1 FW.

Malondialdehyde (MDA) determination

MDA was determined as 2-thiobarbituric acid (TBA) reactive metabolites [71]. About 1.5 mL of the extract of each sample was homogenized in 2.5 mL of 5% TBA made in 5% Trichloroacetic acid (TCA). The solution was warmed at 95 °C for 15 min and then cooled on ice quickly. After centrifugation at 5000 rpm for 10 min, the amount of the supernatant absorbance was recorded at 532 nm. The level of MDA was measured as nmol g− 1FW according to the following equation. (7).

$$\textrm{MDA}=1000\times \left[\left(532\textrm{nm}-600\textrm{nm}\right)\times 1.049\right]/155$$
(7)

Protein determination

The amount of protein was measured following the Bradford method [72], which was calibrated for each determination with the standard bovine serum albumin curve. In this case, 100 mg of the treated explants were placed in a test tube with 2 mL of 50 mM potassium phosphate buffer at pH 7.0. The solution was centrifuged at 7000-12000 rpm. Then, the supernatant was recovered and centrifuged at 3000 rpm for 15 min at 4 °C. The samples were prepared with 1:100 dilution ratios and measured at 595 nm. The result was recorded in mg g− 1 FW.

Proline determination

The amount of proline was measured by homogenizing 0.2 g of leaf fresh weight in 2 mL of 3% aqueous sulfosalicylic acid and then centrifuged at 10000 rpm for 30 min. The supernatant was removed, and the pellet was washed with 3% aqueous sulfosalicylic acid twice. The supernatant was pooled, and the amount of proline was evaluated using ninhydrin reagent and toluene extraction [73]. The protocol for each determination was calibrated with the standard curve of proline solution within the detection range of the method (0-39 μg mL− 1).

Analysis of antioxidant enzyme activities

One gram of the leaf samples was weighted and quickly homogenized in 5 mL of 50 mM K–phosphate buffer (pH 7.0) and brought to 5 mM Na–ascorbate and 0.2 mM EDTA by the addition of concentrated stocks. The homogenate samples were centrifuged at 10000 rpm for 15 min at 4 °C. Then, the supernatants were used for enzyme assays carried out at 4 °C. The activity of SOD, POD, and CAT was measured, as previously established by Li et al. [74]. Fresh leaf samples (0.5 g FW) were chosen from 2-week-old treated explants, harvested, and ground in liquid nitrogen and extracted with the following method: 100 mM potassium phosphate buffer (pH 7.8) including 0.1 mM EDTA, 1% (w/v) PVP and 0.1% (v/v) Triton × 100. The extracted solution was centrifuged at 10,000 rpm for 15 min at 4 °C. The supernatant was collected and used to measure the activity of the enzymes. The GPX activity was assayed by monitoring the increase in absorbance at 470 nm (ε = 26.6 mM −1cm -1) during the polymerization of guaiacol. One unit of activity was defined as the amount of enzyme producing 1 μmol of tetraguaiacol per min at 25 °C.

Statistical analysis

The experiment was conducted as a factorial experiment based on a completely randomized design with three replications and five explants in each plot. Data were statistically analyzed by MSTAT-C software and the means were compared using the LSD method at the level of 5 % error probability.

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Abbreviations

SOD:

Superoxide dismutase

POD:

Peroxidase

CAT:

Catalase

Chl:

Chlorophyll

ChlT:

Total chlorophyll

CARs:

Carotenoids

MDA:

Malondialdehyde

Fv :

Variable fluorescence

Fm :

Maximal fluorescence from dark-adapted leaf

Fv/Fm :

Maximum PSII

ROS:

Reactive oxygen species

SiO2-NPs:

Silicon dioxide nanoparticles

H2O2 :

Hydrogen peroxide

MSI:

Membrane stability index

PEG:

Polyethylene glycol

RWC:

Relative water content

EC:

Electrical conductivity

References

  1. Wojtania A, Matysiak B. Propagation of Konstancin’ (R. rugosa× R. beggeriana), a plant with high nutritional and pro-health value. Folia Hortic. 2018;30:259–67.

    Article  Google Scholar 

  2. Tobyn G, Denham A, Whitelegg M. Rosa damascena, damask rose. Med Herbs. 2011:253–70.

  3. Iwata H, Kato T, Ohno S. Triparental origin of damask roses. Gene. 2000;259:53–9.

    Article  CAS  Google Scholar 

  4. Babaei A, Tabaei-Aghdaei SR, Khosh-Khui M, Omidbaigi R, Naghavi MR, Esselink GD, et al. Microsatellite analysis of damask rose (Rosa damascena mill.) accessions from various regions in Iran reveals multiple genotypes. BMC Plant Biol. 2007;7:1–6.

    Article  Google Scholar 

  5. Seyed Hajizadeh H, Ebadi B, Morshedloo MR, Abdi GA. Morphological and phytochemical diversity among some Iranian Rosa damascena Mill. Landraces. J Ornam Plants. 2021;11(4):243–55.

    Google Scholar 

  6. Horn WAH. Micropropagation of rose (Rosa L.). Biotechnol Agric For. 1992;20:320–42.

    Google Scholar 

  7. Saed-Moucheshi A, Pessarakli M, Mikhak A, Ostovar P, Ahamadi-Niaz A. Investigative approaches associated with plausible chemical and biochemical markers for screening wheat genotypes under salinity stress. J Plant Nutr. 2017;40:2768–84.

    Article  CAS  Google Scholar 

  8. Iturbe-Ormaetxe I, Escuredo PR, Arrese-Igor C, Becana M. Oxidative damage in pea plants exposed to water deficit or paraquat. Plant Physiol. 1998;116:173–81.

    Article  CAS  Google Scholar 

  9. Monakhova OF, Chernyad’ev II. Protective role of kartolin-4 in wheat plants exposed to soil draught. Appl Biochem Microbiol. 2002;38:373–80.

    Article  CAS  Google Scholar 

  10. Pirasteh-Anosheh H, Saed-Moucheshi A, Pakniyat H, Pessarakli M, et al. Stomatal responses to drought stress. Water Stress Crop Plants Sustain Approach. 2016;1:24–40.

    Article  Google Scholar 

  11. Das K, Roychoudhury A. Reactive oxygen species (ROS) and response of antioxidants as ROS-scavengers during environmental stress in plants. Front Environ Sci. 2014;2:53.

    Article  Google Scholar 

  12. Epstein E. The anomaly of silicon in plant biology. Proc Natl Acad Sci. 1994;91:11–7.

    Article  CAS  Google Scholar 

  13. Hajizadeh HS. The study of freesia (Freesia spp.) cut flowers quality in relation with nano silver in preservative solutions. In: III International Conference on Quality Management in Supply Chains of Ornamentals 1131; 2015. p. 1–10.

    Google Scholar 

  14. Wang X-J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron. 2002;36:955–68.

    Article  CAS  Google Scholar 

  15. Wang L-J, Wang Y-H, Zhang F-S, Yang W-S, Li T-J. Self-assembled biomineralized structures constructed in plant cell walls. ACTA Chim Sin Ed. 2002;60:1144–6.

    CAS  Google Scholar 

  16. Locarno M, Fochi CG, de Paiva PDO. Influence of silicate fertilization on chlorophylls of rose leaves. Ciência e Agrotecnol. 2011;35:287–90.

    Article  CAS  Google Scholar 

  17. Shetty R, Jensen B, Shetty NP, Hansen M, Hansen CW, Starkey KR, et al. Silicon induced resistance against powdery mildew of roses caused by Podosphaera pannosa. Plant Pathol. 2012;61:120–31.

    Article  CAS  Google Scholar 

  18. Stamatakis A, Papadantonakis N, Lydakis-Simantiris N, Kefalas P, Savvas D. Effects of silicon and salinity on fruit yield and quality of tomato grown hydroponically. In: Acta Hortic; 2003. p. 141–7.

    Google Scholar 

  19. Bao-Shan L, Chun-hui L, Li-jun F, Shu-chun Q, Min Y, et al. Effect of TMS (nanostructured silicon dioxide) on growth of Changbai larch seedlings. J For Res. 2004;15:138–40.

    Article  Google Scholar 

  20. Hajizadeh HS, Asadi M, Zahedi SM, Hamzehpour N, Rasouli F, Helvac\i M, et al. Silicon dioxide-nanoparticle nutrition mitigates salinity in gerbera by modulating ion accumulation and antioxidants. Folia Hortic. 2021;33:91–105.

    Article  Google Scholar 

  21. Avestan S, Ghasemnezhad M, Esfahani M, Byrt CS. Application of nano-silicon dioxide improves salt stress tolerance in strawberry plants. Agronomy. 2019;9:246.

    Article  CAS  Google Scholar 

  22. Zahedi SM, Moharrami F, Sarikhani S, Padervand M. Selenium and silica nanostructure-based recovery of strawberry plants subjected to drought stress. Sci Rep. 2020;10:1–18.

    Article  Google Scholar 

  23. Avestan S, Naseri LA, Hassanzade A, Sokri SM, Barker AV. Effects of nanosilicon dioxide application on in vitro proliferation of apple rootstock. J Plant Nutr. 2016;39:850–5.

    Article  CAS  Google Scholar 

  24. Al-Yasi H, Attia H, Alamer K, Hassan F, Ali E, Elshazly S, et al. Impact of drought on growth, photosynthesis, osmotic adjustment, and cell wall elasticity in damask rose. Plant Physiol Biochem. 2020;150:133–9.

    Article  CAS  Google Scholar 

  25. Avestan S, Naseri L, Barker AV. Evaluation of nanosilicon dioxide and chitosan on tissue culture of apple under agar-induced osmotic stress. J Plant Nutr. 2017;40:2797–807.

    Article  CAS  Google Scholar 

  26. Al-Mayahi AMW. Effect of silicon (Si) application on Phoenix dactylifera L. growth under drought stress induced by polyethylene glycol (PEG) in vitro. Am J Plant Sci. 2016;7:1711–28.

    Article  CAS  Google Scholar 

  27. Koentjoro Y, Purwanto E, Purnomo D, et al. The role of silicon on content of proline, protein and abscisic acid on soybean under drought stress. In: IOP Conference Series: Earth and Environmental Science; 2021. p. 12086.

    Google Scholar 

  28. Zahedi SM, Karimi M, da Silva JA. The use of nanotechnology to increase quality and yield of fruit crops. J Sci Food Agric. 2020;100:25–31.

    Article  CAS  Google Scholar 

  29. Ahmadian K, Jalilian J, Pirzad A. Nano-fertilizers improved drought tolerance in wheat under deficit irrigation. Agric Water Manag. 2021;244:106544.

    Article  Google Scholar 

  30. Kim SG, Kim KW, Park EW, Choi D. Silicon-induced cell wall fortification of rice leaves: a possible cellular mechanism of enhanced host resistance to blast. Phytopathology. 2002;92:1095–103.

    Article  Google Scholar 

  31. Takahashi E, Ma JF, Miyake Y, et al. The possibility of silicon as an essential element for higher plants. Comments Agric Food Chem. 1990;2:99–102.

    CAS  Google Scholar 

  32. Guerriero G, Cai G. Interaction of nano-sized nutrients with plant biomass: a review. Phytotoxicity Nanoparticles. 2018:135–49.

  33. Alsaeedi A, El-Ramady H, Alshaal T, El-Garawany M, Elhawat N, Al-Otaibi A. Silica nanoparticles boost growth and productivity of cucumber under water deficit and salinity stresses by balancing nutrients uptake. Plant Physiol Biochem. 2019;139:1–10.

    Article  CAS  Google Scholar 

  34. Tuna AL, Kaya C, Higgs D, Murillo-Amador B, Aydemir S, Girgin AR. Silicon improves salinity tolerance in wheat plants. Environ Exp Bot. 2008;62:10–6.

    Article  CAS  Google Scholar 

  35. Shen X, Zhou Y, Duan L, Li Z, Eneji AE, Li J. Silicon effects on photosynthesis and antioxidant parameters of soybean seedlings under drought and ultraviolet-B radiation. J Plant Physiol. 2010;167:1248–52.

    Article  CAS  Google Scholar 

  36. Majumdar R, Barchi B, Turlapati SA, Gagne M, Minocha R, Long S, et al. Glutamate, ornithine, arginine, proline, and polyamine metabolic interactions: the pathway is regulated at the post-transcriptional level. Front Plant Sci. 2016;7:78.

    Article  Google Scholar 

  37. Haider MS, Zhang C, Kurjogi MM, Pervaiz T, Zheng T, Zhang C, et al. Insights into grapevine defense response against drought as revealed by biochemical, physiological and RNA-Seq analysis. Sci Rep. 2017;7:1–15.

    Article  Google Scholar 

  38. Ranjan R, Bohra SP, Jeet AM. Book of plant senescence. Jodhpur: Agrobios New York; 2001. p. 18–42.

    Google Scholar 

  39. Liang Y, Nikolic M, Bélanger R, Gong H, Song A, others. Silicon in agriculture. LIANG, Y al Silicon-mediated Toler to salt Stress Springer Sci. 2015;:123–42.

  40. Rajput VD, Minkina T, Feizi M, Kumari A, Khan M, Mandzhieva S, et al. Effects of silicon and silicon-based nanoparticles on rhizosphere microbiome, plant stress and growth. Biology (Basel). 2021;10:791.

    CAS  Google Scholar 

  41. Ghorbanpour M, Mohammadi H, Kariman K. Nanosilicon-based recovery of barley (Hordeum vulgare) plants subjected to drought stress. Environ Sci Nano. 2020;7:443–61.

    Article  CAS  Google Scholar 

  42. Maxwell K, Johnson GN. Chlorophyll fluorescence—a practical guide. J Exp Bot. 2000;51:659–68.

    Article  CAS  Google Scholar 

  43. Cao B, Ma Q, Zhao Q, Wang L, Xu K. Effects of silicon on absorbed light allocation, antioxidant enzymes and ultrastructure of chloroplasts in tomato leaves under simulated drought stress. Sci Hortic (Amsterdam). 2015;194:53–62.

    Article  CAS  Google Scholar 

  44. Maghsoudi K, Emam Y, Ashraf M. Influence of foliar application of silicon on chlorophyll fluorescence, photosynthetic pigments, and growth in water-stressed wheat cultivars differing in drought tolerance. Turk J Bot. 2015;39:625–34.

    CAS  Google Scholar 

  45. Chen W, Yao X, Cai K, Chen J. Silicon alleviates drought stress of rice plants by improving plant water status, photosynthesis and mineral nutrient absorption. Biol Trace Elem Res. 2011;142:67–76.

    Article  CAS  Google Scholar 

  46. Takahashi S, Murata N. How do environmental stresses accelerate photoinhibition? Trends Plant Sci. 2008;13:178–82.

    Article  CAS  Google Scholar 

  47. Pereira AS, Dorneles AOS, Bernardy K, Sasso VM, Bernardy D, Possebom G, et al. Selenium and silicon reduce cadmium uptake and mitigate cadmium toxicity in Pfaffia glomerata (Spreng.) Pedersen plants by activation antioxidant enzyme system. Environ Sci Pollut Res. 2018;25:18548–58.

    Article  CAS  Google Scholar 

  48. Atal N, Saradhi PP, Mohanty P. Inhibition of the chloroplast photochemical reactions by treatment of wheat seedlings with low concentrations of cadmium: analysis of electron transport activities and changes in fluorescence yield. Plant Cell Physiol. 1991;32:943–51.

    Article  CAS  Google Scholar 

  49. Kaufman PB, Takeoka Y, Carlson TJ, Bigelow WC, Jones JD, Moore PH, et al. Studies on silica deposition in sugarcane (Saccharum spp.) using scanning electron microscopy, energy-dispersive X-ray analysis, neutron activation analysis, and light microscopy. Phytomorphology. 1979;29:185–93.

    Google Scholar 

  50. Bian S, Jiang Y. Reactive oxygen species, antioxidant enzyme activities and gene expression patterns in leaves and roots of Kentucky bluegrass in response to drought stress and recovery. Sci Hortic (Amsterdam). 2009;120:264–70.

    Article  CAS  Google Scholar 

  51. Gunes A, Pilbeam DJ, Inal A, Coban S. Influence of silicon on sunflower cultivars under drought stress, I: growth, antioxidant mechanisms, and lipid peroxidation. Commun Soil Sci Plant Anal. 2008;39:1885–903.

    Article  CAS  Google Scholar 

  52. Shi Y, Zhang Y, Yao H, Wu J, Sun H, Gong H. Silicon improves seed germination and alleviates oxidative stress of bud seedlings in tomato under water deficit stress. Plant Physiol Biochem. 2014;78:27–36.

    Article  CAS  Google Scholar 

  53. Szabados L, Savouré A. Proline: a multifunctional amino acid. Trends Plant Sci. 2010;15:89–97.

    Article  CAS  Google Scholar 

  54. Esmaili S, Tavallali V, Amiri B. Nano-silicon complexes enhance growth, yield, water relations and mineral composition in Tanacetum parthenium under water deficit stress. Silicon. 2021;13:2493–508.

    Article  CAS  Google Scholar 

  55. Koentjoro Y, Purwanto E, Purnomo D, et al. Stomatal behaviour of soybean under drought stress with silicon application. Ann Agri Bio Res. 2020;25:103–9.

    Google Scholar 

  56. Niknam V, Razavi N, Ebrahimzadeh H, Sharifizadeh B. Effect of NaCl on biomass, protein and proline contents, and antioxidant enzymes in seedlings and calli of two Trigonella species. Biol Plant. 2006;50:591–6.

    Article  CAS  Google Scholar 

  57. Kala S, Godara AK. Effect of moisture stress on leaf total proteins, proline and free amino acid content in commercial cultivars of Ziziphus mauritiana. J Sci Res. 2011;55:65–9.

    Google Scholar 

  58. Nayyar H, Walia DP. Water stress induced proline accumulation in contrasting wheat genotypes as affected by calcium and abscisic acid. Biol Plant. 2003;46:275–9.

    Article  CAS  Google Scholar 

  59. Saed-Moucheshi A, Sohrabi F, Fasihfar E, Baniasadi F, Riasat M, Mozafari AA. Superoxide dismutase (SOD) as a selection criterion for triticale grain yield under drought stress: a comprehensive study on genomics and expression profiling, bioinformatics, heritability, and phenotypic variability. BMC Plant Biol. 2021;21:1–19.

    Article  Google Scholar 

  60. Saed-Moucheshi A, Shekoofa A, Pessarakli M. Reactive oxygen species (ROS) generation and detoxifying in plants. J Plant Nutr. 2014;37:1573–85.

    Article  CAS  Google Scholar 

  61. Kim Y-H, Khan AL, Waqas M, Shahzad R, Lee I-J. Silicon-mediated mitigation of wounding stress acts by up-regulating the rice antioxidant system. Cereal Res Commun. 2016;44:111–21.

    Article  CAS  Google Scholar 

  62. Tripathi DK, Singh S, Singh VP, Prasad SM, Dubey NK, Chauhan DK. Silicon nanoparticles more effectively alleviated UV-B stress than silicon in wheat (Triticum aestivum) seedlings. Plant Physiol Biochem. 2017;110:70–81.

    Article  CAS  Google Scholar 

  63. Gong H, Zhu X, Chen K, Wang S, Zhang C. Silicon alleviates oxidative damage of wheat plants in pots under drought. Plant Sci. 2005;169:313–21.

    Article  CAS  Google Scholar 

  64. Hajizadeh HS, Rezaei S, Yari F, Okatan V. In vitro simulation of drought stress in some Iranian damask rose landraces. Hortic Sci. 2022.

  65. Murashige T, Skoog F. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol Plant. 1962;15:473–97.

    Article  CAS  Google Scholar 

  66. Jia M, Li D, Colombo R, Wang Y, Wang X, Cheng T, et al. Quantifying chlorophyll fluorescence parameters from hyperspectral reflectance at the leaf scale under various nitrogen treatment regimes in winter wheat. Remote Sens. 2019;11:2838.

    Article  Google Scholar 

  67. Turner NC. Techniques and experimental approaches for the measurement of plant water status. Plant Soil. 1981;58:339–66.

    Article  Google Scholar 

  68. Premachandra GS, Saneoka H, Ogata S. Cell membrane stability, an indicator of drought tolerance, as affected by applied nitrogen in soyabean. J Agric Sci. 1990;115:63–6.

    Article  CAS  Google Scholar 

  69. Arnon DI. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris Plant Physiol. 1949;24:1.

    CAS  Google Scholar 

  70. Liu Y-H, Offler CE, Ruan Y-L. A simple, rapid, and reliable protocol to localize hydrogen peroxide in large plant organs by DAB-mediated tissue printing. Front Plant Sci. 2014;5:745.

    Article  Google Scholar 

  71. Zhang Z, Shao H, Xu P, Chu L, Lu Z, Tian J. On evolution and perspectives of bio-watersaving. Colloids Surf B: Biointerfaces. 2007;55:1–9.

    Article  Google Scholar 

  72. Bradford N. A rapid and sensitive method for the quantitation microgram quantities of a protein isolated from red cell membranes. Anal Biochem. 1976;72:e254.

    Article  Google Scholar 

  73. Bates LS, Waldren RP, Teare ID. Rapid determination of free proline for water-stress studies. Plant Soil. 1973;39:205–7.

    Article  CAS  Google Scholar 

  74. Li J-T, Qiu Z-B, Zhang X-W, Wang L-S. Exogenous hydrogen peroxide can enhance tolerance of wheat seedlings to salt stress. Acta Physiol Plant. 2011;33:835–42.

    Article  CAS  Google Scholar 

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Acknowledgments

The present study was carried out by the use of facilities and materials at the University of Maragheh and we would like to thank Dr. Amin Abbasi from the University of Maragheh for technical supportes and Dr. Ali Sadeghi from the University of Idaho for proof reading the manuscript.

Funding

The funding of the present work as a part of Research Project no. 1024 is Supported by the University of Maragheh, Research Affairs Office.

Author information

Authors and Affiliations

  1. Department of Horticulture, Faculty of Agriculture, University of Maragheh, Maragheh, 55136-553, Iran

    Hanifeh Seyed Hajizadeh, Sahar Azizi & Farzad Rasouli

  2. Department of Horticulture, Faculty of Agriculture, Eskisehir Osmangazi University, Eskisehir, Turkey

    Volkan Okatan

Authors
  1. Hanifeh Seyed Hajizadeh
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  2. Sahar Azizi
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  3. Farzad Rasouli
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  4. Volkan Okatan
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Contributions

HSH perceived the idea, SA conducted the field experiments, FR and SA data collection and analysis, HSH wrote the first draft of manuscript, HSH and VO reviewed and prepared the final draft of the manuscript. The author(s) read approved the final manuscript.

Corresponding author

Correspondence to Hanifeh Seyed Hajizadeh.

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Ethics approval and consent to participate

No specifc permits were required, plant materials were obtained under the supervision and permission of Maragheh University guidelines and according to national guidelines and all authors comply with all the local and national guidelines. All the experiments were carried out according to the University of Maragheh lab rules.

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Not applicable.

Competing interests

The authors declare that there are no competing interests.

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Cite this article

Hajizadeh, H.S., Azizi, S., Rasouli, F. et al. Modulation of physiological and biochemical traits of two genotypes of Rosa damascena Mill. by SiO2-NPs under In vitro drought stress. BMC Plant Biol 22, 538 (2022). https://doi.org/10.1186/s12870-022-03915-z

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  • DOI: https://doi.org/10.1186/s12870-022-03915-z

Keywords

BMC Plant Biology

ISSN: 1471-2229

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