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Exogenously applied silver nanoparticles (AgNPs) differentially affect bacterial blight disease control in twenty-seven wheat cultivars

BMC Plant Biology volume 24, Article number: 695 (2024) Cite this article

Abstract

The bacterial blight of wheat is an important global disease causing a significant decline in crop yield. Nanotechnology offers a potential solution for managing plant diseases. Therefore, this research aimed to investigate the effectiveness of silver nanoparticles (AgNPs) in controlling bacterial blight in 27 locally grown wheat cultivars. The study examined the impact of AgNPs at three distinct time points: 1, 3, and 5 days after the onset of the disease. Biochemical assay revealed that one day after applying the disease stress, the Inia cultivar had the highest amount of soluble protein (55.60 μg.g−1FW) content in the treatment without AgNPs. The Azadi cultivar, without AgNPs treatment, had the lowest amount of soluble protein content (15.71 μg.g−1FW). The Tabasi cultivar had the highest activity of the superoxide dismutase (SOD) (61.62 mM.g−1FW) with the combination treatment of AgNPs. On the other hand, the Karchia cultivar had the lowest SOD activity (0.6 mM.g−1FW) in the treatment of disease without AgNPs. Furthermore, three days after the application of stress, the Mahdavi cultivar had the highest amount of soluble protein content (54.16 μg.g−1FW) in the treatment of disease without AgNPs. The Niknejad cultivar had the highest activity of the SOD (74.15 mM.g−1FW) with the combined treatment of the disease without AgNPs. The Kavir cultivar had the lowest SOD activity (1.95 mM.g−1FW) and the lowest peroxidase (POX) activity (0.241 mM g−1FW min−1) in the treatment of the disease with AgNPs. Five days after exposure to stress, the Mahooti cultivar had the highest SOD activity (88.12 mM.g−1FW) with the combined treatment of the disease with AgNPs, and the Karchia cultivar had the lowest SOD activity (2.39 mM.g−1FW) in the treatment of the disease with AgNPs. Further, the results indicated that exposure to AgNPs could improve the antioxidant properties of wheat seeds in blight-infected and disease-free conditions in some cultivars.

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Introduction

In Iran, a significant portion of the country’s land is used for rainfed farming, providing a substantial amount of the country’s food production. Dry grains, particularly wheat, play a crucial role in this agricultural landscape [1, 2]. Bacterial blight is a notable disease affecting wheat, caused by the bacterium Pseudomonas syringae pv. syringae. This disease results in reduced plant height, grain yield, and overall growth of wheat plants. It is a widespread issue globally, causing extensive damage to wheat fields annually. Challenges in controlling this disease include the inefficient use of certain antibiotics and the development of resistance and stability to some copper compounds in the environment [3].

Nanotechnology is a highly significant technology worldwide, with distinct characteristics and a wide range of applications in various scientific and technological fields. Nanoparticles are atomic or molecular complexes with dimensions ranging from 1 to 100 nm, and they possess unique physical and chemical properties compared to their bulk materials [4,5,6]. Nanoparticles have made widespread impact due to their unique importance and characteristics [7,8,9]. Depending on their size, nanoparticles can easily cross cell organelles through the plasma wall and membrane, affecting a series of metabolic processes [10,11,12]. Nanotechnology has provided an opportunity to enhance the capabilities of natural antioxidant enzymes through the use of nanozymes, offering a new solution to address their existing limitations.

Nanotechnology in agriculture aims to improve plant disease resistance and enhance nutrient utilization for plant growth. Nanoparticle technology is important in addressing agricultural issues related to plant-pathogen interaction and developing innovative methods for product protection. Agricultural chemicals are currently applied to crops through spraying, but nano agrochemicals must be designed with specific properties, including effective concentration, high solubility, stability, efficacy, controlled release mechanisms, enhanced targeted activities, and lower toxicity levels for safe delivery. Silver has various effects on living organisms, and it can protect plants from fungal, viral, and microbial diseases depending on its concentration and forms. The introduction of AgNPs has been found to improve root length growth in crops such as california poppy (Eschscholzia californica Cham [13], geranium (Pelargonium zonale) cultivars [14,15,16,17]. In a different study, the growth of rice seedlings was further enhanced by AgNPs. This was shown by a decrease in reactive oxygen species (ROS) levels, lipid peroxidation, catalase (CAT), superoxide dismutase (SOD), and H2O2 content compared to the control [18]. Plants with higher levels of antioxidants demonstrate greater resistance to oxidative damage. Both catalase (CAT) and peroxidase (POX) are crucial antioxidants that break down H2O2 into water and oxygen molecule [19, 20]. Plant defense against pathogens depends on structural defense characteristics and the expression of resistance-related genes. The plant’s ability to succeed in this aspect relies on the activity of its antioxidant system and the concentration of reactive oxygen species. The plant can lower the concentration of reactive oxygen species and reduce their harmful effects using enzymatic and non-enzymatic mechanisms [21,22,23].

The antioxidant defense system includes enzymes such as SOD, CAT, guaiacol peroxidase, and ascorbate peroxidase. It also includes non-enzymatic antioxidants such as flavonoids, anthocyanins, and other phenolic compounds, as well as ascorbate, alpha-tocopherol, and beta-carotene [24, 25]. There have been limited studies on how AgNPs can improve the physiological characteristics of wheat seedlings infected with bacterial blight. Therefore, it is necessary to conduct research in this area to identify wheat varieties resistant to the disease. The purpose of this research is to provide other researchers with information on the use of AgNPs treatments for managing bacterial blight disease in different wheat cultivars.

Materials and methods

Collecting and planting seeds

The seeds of 27 Iranian bread wheat cultivars (listed in Table 1) were obtained from the Karaj Seedling and Seed Breeding Institute in Karaj, Alborz Province. The study was conducted in January 2021 at the central laboratory of the Faculty of Agriculture, Yasouj University, using a completely randomized design (CRD) with three replications. Each pot (3 L) contained five wheat seeds of each cultivar and was filled with a mixture of autoclaved and sieved soil, consisting of agricultural soil (50%), animal manure (30%), and sand (20%). After two weeks of germination, three plants were maintained in each pot, and they were kept in controlled moisture, temperature (25°C), and lighting conditions (16 h of light and 8 h of darkness). A suspension was prepared and subjected to a 24-h zigzag cultivation process. After 24 h, the bacterial colonies were removed and transferred into Erlenmeyer flasks containing water. The bacterial suspension’s density was adjusted to an optical absorption rate of 0.5 (107 colonies per ml) at a 600 nm optical wavelength using a spectrophotometer. Samples were collected at the 4–6 leaf stage and at 1, 3, and 5 days after inoculation. Each plant was cut from the soil surface, wrapped in aluminum foil, and immediately placed in a dry ice tank, and then transferred to a -40°C freezer. The data were analyzed using ANOVA and the mean square was calculated using the Tukey test at 1% and 5% levels of significance.

Table 1 The list of the studied Iranian native wheat cultivars
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Preparation of AgNPs solution and bacterial culture

In the present study, we obtained silver nanoparticles (AgNPs) from Spadan Company in Isfahan, Iran (https://product.statnano.com/company/spadan-green-giti-coating-co.). The experiment involved testing six different concentrations of AgNPs (1, 5, 50, 100, 200, 400 ppm) along with four types of antibiotic discs (amoxicillin, erythromycin, tetracycline, and penicillin) in three replications. To carry out the experiment, we cultured bacteria on agar medium for 24 h and then transferred a single colony onto fresh agar using a loop. Subsequently, antibiotic discs and nanoparticle-coated discs were placed onto the agar in three replicates in separate petri dishes at equal intervals using sterilized tweezers. The petri dishes were then placed in the incubator for 24–48 h. After the bacteria had fully grown in the petri dishes, we measured the halos around the discs. To ensure accuracy, the experiment was repeated a second time.

Preparation of bacterial suspension

The following procedure was carried out: a beaker of autoclaved distilled water was placed under the hood for foliar spraying. After 24 h of growth, the cultured bacteria were removed from the surface of the culture medium using a loop and transferred to an Erlenmeyer flask. The spectrophotometer was zeroed using distilled water and then the absorbance of bacteria in the solution was read as 0.5 at a wavelength of 600 nm (Fig. 1). After preparing the bacterial suspension, foliar spraying was executed on 12/9/2021 at the 4–6 leaf stage. Each pot received a 25 ml spray of bacterial suspension. The control plants also received a 25 ml spray of autoclaved distilled water.

Fig. 1
figure 1

Preparation of suspension (a), isolate culture (b), and bacterial colony growth (c)

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Inoculation with the bacterial blight agent of wheat was performed when the wheat plants were at the 4–6 leaf stage [26,27,28]. Laboratory investigations [26,27,28] revealed that at concentrations of 200 ppm and higher, the antibacterial effect of silver nanoparticles (AgNPs) was even greater than that of antibiotics for all bacteria except Agrobacterium. The results showed that increasing the concentration of AgNPs led to a stronger antibacterial effect, equaling or surpassing the inhibitory effects of antibiotics. Consequently, AgNPs at a concentration of 100 ppm was selected and prepared. After 24 h of inoculation with the wheat bacterial blight agent, AgNPs were applied via foliar spraying at a rate of 25 ml per plant. Subsequent sampling was carried out at different time intervals (1, 3, and 5 days after inducing disease stress by spraying the bacterial solution on the leaves) (Fig. 2, A and B).

Fig. 2
figure 2

It shows the effect of AgNPs with diffusion disk (a) and the effect of the antibiotic disk (amoxicillin, tetracycline, erythromycin, and penicillin) on Pseudomonas bacteria (b)

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To check enzyme traits in periods of 1, 3, and 5 days after inoculation, leaf samples were collected, and to measure some biochemical traits, they were transferred to -40°Celsius refrigerator in a chamber containing dry ice.

Quantitative measurement of leaf soluble protein

Bradford’s [29] method was used to measure the amount of protein. Bradford’s method is based on the binding of Coomassie Brilliant Blue 250 to protein in acidic medium and determination of maximum absorption from 465 to 595 nm. The absorbance at 595 nm is directly proportional to the protein concentration.

Measuring the activity of POX enzyme

Peroxidase activity assay was performed by Panda et al. [30]. Briefly, 25 μl of the extraction supernatant was added to 1.95 ml 0.1 M phosphate buffer (pH 7.0), 40 mM H2O2 and 1.6% guaiacol containing the substrate buffer and spectrophotometric measurements were taken at 470 nm wavelength.

Measurement of SOD enzyme activity

The superoxide dismutase (SOD, EC 1.15.1.1) enzyme activity was estimated by measuring the decrease in absorbance of formazone formed by the superoxide radical and nitro-blue tetrazolium (NBT) dye by the enzyme [31].

Statistical analysis

The ANOVA was performed using Statistic ver 10 software. All figures were generated using Excel software. Means square was calculated using the Duncan test at 1 and 5 probability levels.

Results

The variance analysis of the data revealed significant main effects of cultivars and the combined treatment of AgNPs and disease, as well as their interaction, on the activity of SOD and POX enzymes at the time of harvesting 1 day after applying stress, at a 1% probability level. Additionally, the main effects and their interaction on soluble protein were found to be significant at 1% and 5% probability levels, respectively (Table 2). Furthermore, at 3 and 5 days after stress, the main effects of the Nano + Disease treatment and cultivars, as well as their interaction, were significant at a 1% probability level for soluble protein levels and the activity of SOD enzyme. Additionally, the main effects and their interaction on POX were significant at the 1% and 5% probability levels (Tables 3 and 4).

Table 2 Analysis of variance (mean square) for the effect of AgNPs + Disease treatment and Cultivars on biochemical characteristics of wheat (Harvest time 1)
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Table 3 Analysis of variance (mean square) for the effect of AgNPs + Disease treatment and Cultivars on biochemical characteristics of wheat (Harvest time 2)
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Table 4 Analysis of variance (mean square) for the effect of AgNPs + Disease treatment and Cultivars on biochemical characteristics of wheat (Harvest time 3)
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Harvest time 1 day after stress

After one day of applying stress, the comparison of average data showed that the highest amount of soluble protein content in the disease treatment without AgNPs was found in the Inia cultivar, while the lowest amount was associated with the Kavir and Mahooti cultivars (Fig. 3). Additionally, the highest activity of the SOD enzyme was observed in the Tabasi cultivar with the combined treatment of AgNPs + disease, while the lowest level was related to the treatment of the disease without AgNPs in the Karchia cultivar (Fig. 4). The highest activity of the POX enzyme was seen in the Darab2 cultivar under disease-free conditions and without the use of AgNPs. The lowest activity of the POX enzyme was obtained from the disease treatment without AgNPs in the Mahdavi cultivar (Fig. 5). In Harvest time 1, the most negative correlation was found between POX and soluble protein content, followed by SOD and soluble protein content. The correlation between SOD and POX was not significant (Fig. 6).

Fig. 3
figure 3

The effect of AgNPs + Disease combined treatment on the amount of soluble protein in 1 day after the application of disease stress in different wheat cultivars

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Fig. 4
figure 4

The effect of AgNPs + Disease combined treatment on the activity of SOD enzyme in 1 day after the application of disease stress in different wheat cultivars

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Fig. 5
figure 5

The effect of AgNPs + Disease combined treatment on POX enzyme activity 1 day after applying disease stress in different wheat cultivars

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Fig. 6
figure 6

The correlation coefficients variance the effect of AgNPs + Disease treatment and Cultivars on some biochemical characteristics of wheat (Harvest time 1)

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Harvest time 3 days after stress

After three days of stress application, the Mahdavi cultivar showed the highest amount of soluble protein in the treatment without AgNPs, while the Tabasi cultivar had the lowest amount in the treatment with AgNPs (Fig. 7). Additionally, the Niknejad cultivar exhibited the highest SOD enzyme activity in the treatment without AgNPs, while the Kavir cultivar showed the lowest activity (Fig. 8). Moreover, the Roshan cultivar had the highest POX enzyme activity in the control treatment, whereas the Kavir cultivar had the lowest activity in the treatment with AgNPs (Fig. 9). Furthermore, the most negative correlation in Harvest time 3 was found between the POX antioxidant enzyme and soluble protein, followed by the correlation between POX and soluble protein. It was noted that the correlation between SOD and POX was not significant (Fig. 10).

Fig. 7
figure 7

The effect of AgNPs + Disease combined treatment on the amount of soluble protein in 3 days after applying disease stress in different wheat cultivars

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Fig. 8
figure 8

The effect of AgNPs + Disease combined treatment on the activity of SOD enzyme in 3 days after the application of disease stress in different wheat cultivars

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Fig. 9
figure 9

The effect of AgNPs + Disease combined treatment on POX enzyme activity in 3 days after applying disease stress in different wheat cultivars

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Fig. 10
figure 10

The correlation coefficients variance the effect of AgNPs + Disease treatment and Cultivars on some biochemical characteristics of wheat (Harvest time 3)

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Harvest time 5 days after stress

The analysis of the average data revealed that five days after stress application during harvesting, the Tajan cultivar showed the highest amount of soluble protein in the absence of AgNPs treatment for the disease. In contrast, the Tabasi cultivar had the lowest amount of soluble protein in the control treatment (Fig. 11). Additionally, the Mahooti cultivar exhibited the highest activity of the SOD enzyme in the combined treatment with AgNPs for the disease, while the Karchia cultivar had the lowest level of activity (Fig. 12). Furthermore, the Tajan cultivar in the control treatment demonstrated the highest activity of the POX enzyme, whereas the Sorkh Tokhm cultivar in the disease treatment with AgNPs showed the lowest level of activity (Fig. 13). Lastly, the most negative correlation at harvest time 5 was observed between soluble protein and the POX antioxidant enzyme, followed by the correlation between SOD and soluble protein (Fig. 14).

Fig. 11
figure 11

The effect of AgNPs + Disease combined treatment on the amount of soluble protein in 5 days after the application of disease stress in different wheat cultivars

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Fig. 12
figure 12

The effect of AgNPs + Disease combined treatment on the activity of SOD enzyme in 5 days after the application of disease stress in different wheat cultivars

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Fig. 13
figure 13

The effect of AgNPs + Disease combined treatment on POX enzyme activity in 5 days after applying disease stress in different wheat cultivars

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Fig. 14
figure 14

The correlation coefficients variance the effect of AgNPs + Disease treatment and Cultivars on some biochemical characteristics of wheat (Harvest time 5)

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The analysis aimed to estimate variance components and genetic parameters of SOD, Soluble Protein, and POX traits in various wheat cultivars. The data analysis was conducted using the bounded maximum likelihood method in WOMBAT software. The genotypic and phenotypic variance of SOD, Soluble Protein, and POX traits were examined. In the POX trait, approximately 23.81% of the phenotypic variance was attributed to genetic variance, while for the Soluble Protein trait, this percentage was lower at about 55.43%. Based on these findings, it is recommended that genetic modifications should be prioritized for the POX trait, followed by the SOD trait, where 21.71% of the phenotypic variance is genetic (Table 5).

Table 5 Genotypic and phenotypic variances of Soluble Protein, SOD, and POX traits in the studied cultivars
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Discussion

Plants and plant cells have the ability to adapt to various conditions. When exposed to nanoparticles, plant cells may transfer chemicals to DNA, leading to changes in gene expression and affecting the plant’s growth and development. The impact of nanoparticles on plants depends on factors such as composition, concentration, size, and physical and chemical properties, as well as the type of plant species [32,33,34,35]. Bacterial infections such as blight and severe infections typically occur at the beginning of the growing season and during the plant’s growth stage. As the plant matures, it develops a type of resistance that protects it from disease damage. Developing resistant cultivars is one approach to reducing and controlling diseases. AgNPs have been successfully used as antifungal and antibacterial agents, offering a potential alternative to pesticides and chemical poisons. AgNPs exhibit enhanced antimicrobial properties due to changes in their physical and chemical properties when converted to nano dimensions, such as increased surface area [36, 37]. An important advantage of AgNPs is their impact on pathogenic microorganisms. Silver can react with the thiol group of microorganism enzymes, leading to enzyme denaturation and ultimately cell death [38].

The use of nanoparticle treatment has been found to increase the amount of soluble protein and the activity of antioxidant enzymes, which helps to control bacterial blight disease in wheat to some extent. The observed increase in enzyme activities may play a key role in protecting disease-infected plants against increased ROS production [39]. The increase in CAT enzyme activity in this research may be attributed to higher concentrations of AgNPs, which boost CAT activity to counter this compound [40]. Many researchers have reported the use of nano treatments to bolster plants’ defense systems against biotic and abiotic stresses. For instance, in a study on the treatment of Hyoscyamus reticulatus hairy roots with nano iron oxide stimulant, the highest CAT enzyme activity was achieved at a concentration of 900 mg L−1 over a 24-h duration [41]. Research has also shown that AgNPs and AgNO3 have varying effects on oxidative stress induction and the activity of antioxidant enzymes in Allium cepa roots [42], as well as in tobacco seedlings [43] and adult plants [44].

Living organisms have cell membranes that are negatively charged, while AgNPs are positively charged. The accumulation of positive charges of AgNPs on the negative charges of the cell membrane causes a change in the membrane structure. This leads to a loss of membrane permeability control, ultimately resulting in cell death [45]. In a separate experiment involving the medicinal plant buckwheat and different treatments of zinc nano oxide, it was observed that the activity level of a certain enzyme increased with concentrations above 100 mg/liter [46].

Exogenously applied AgNPs have displayed potential in managing bacterial blight disease in rice. Research has shown that AgNPs produced using Bacillus cereus SZT1 exhibited significant antibacterial activity against Xanthomonas oryzae pv. oryzae (Xoo), the bacteria responsible for causing bacterial leaf blight (BLB) disease in rice [47]. These nanoparticles were successful in inhibiting the occurrence of the disease and promoting plant growth, indicating their potential for controlling BLB [47]. Furthermore, AgNPs have a distinctive antibacterial mechanism that can help reduce the development of drug resistance in plant pathogens [48]. As for their impact on soluble protein and POX, the specific effects of externally applied AgNPs on these enzymes in the context of managing bacterial blight disease in rice are not explicitly mentioned in the search results provided. Further research may be necessary to determine the direct effects of AgNPs on these enzymes in the context of plant disease management [47, 48].

The use of nanoparticles for plant protection can occur through two different mechanisms. First, nanoparticles can be used to directly protect plants. Second, nanoparticles can serve as carriers for pesticides or other active substances, such as double-stranded RNA, which are applied by spraying, soaking seeds, leaf tissues, or roots [49,50,51,52]. Research [53] has investigated the inhibitory effect of AgNPs and copper nanoparticles on the growth of the fungus (Wilsonomyces carpophilus), which causes sieve spot disease in stone fruit trees. The study demonstrated that silver and copper nanoparticles at a concentration of 80 ppm had a significant difference compared to the two common fungicides, mancozeb and carbendazim. Furthermore, the investigation of the effect of AgNPs on the growth of the fungus Rhizoctonia solani, the cause of rice sheath blight, and the bacterium Acidovorax avenae, the cause of bacterial stripe spot disease in rice, reported that AgNPs have the potential to inhibit these plant diseases [53]. The amount of protein changes depending on the concentration of AgNPs used in the plant. Research has shown that silver-chitosan nanoparticles significantly increase the total protein in chickpea seedlings [54]. Another study observed an increase in the activity of CAT, guaiacol peroxidase, and ascorbate peroxidase in Brassica juncea due to the concentration of AgNPs [55]. Genetic and phenotypic diversity coefficients were used to estimate diversity, representing diversity in different traits influenced by genetic and environmental factors. In this study, the POX enzyme had the highest heritability, while soluble protein had the lowest. Heritability in all three traits was over 50%, but the genetic variance was lower than the phenotypic variance in all traits, indicating that environmental effects were greater than genetic influences.

Conclusion

The findings indicate that the most effective approach to managing plant diseases involves utilizing nanotechnology, selecting specific cultivars, and conducting genetic investigations to identify resistant cultivars. The research suggests that environmental factors have a greater influence on these traits compared to genetic factors, as evidenced by the lower genetic variance relative to the phenotypic variance. As a result, it is advisable to prioritize traits influenced by genes when selecting resistant varieties and passing on this resistance to future generations. Furthermore, the study emphasizes the potential of using AgNPs as an effective method for combating plant diseases, offering a promising alternative to antibiotics and reducing their adverse impacts on organisms and ecosystems.

Availability of data and materials

All the data generated/analyzed during the study are available with the corresponding author on reasonable request.

References

  1. Mahmood N, Arshad M, Kachele H, Ma H, Ullah A, Muller K. Wheat yield response to input and socioeconomic factors under changing climate: evidence from rainfed environments of Pakistan. Sci Total Environ. 2019;688:1275–85.

    Article  CAS  PubMed  Google Scholar 

  2. Soltani E, Soltani A, Alimagham M, Zand E. Ecological footprints of environmental resources for agricultural production in Iran: a model-based study. Environ Sci Pollut Res Int. 2021;28(48):68972–81.

    Article  CAS  PubMed  Google Scholar 

  3. Valencia-Botín AJ, Cisneros-López ME. A review of the studies and interactions of Pseudomonas syringae pathovars on wheat. Int J Agron. 2012;2012:692350.

    Article  Google Scholar 

  4. Hatami M, Kariman K, Ghorbanpour M. Engineered nanomaterial-mediated changes in the metabolism of terrestrial plants. Sci Total Environ. 2016;571:275–91.

    Article  CAS  PubMed  Google Scholar 

  5. Rastogi A, Tripathi DK, Yadav S, Chauhan DK, Živčák M, Ghorbanpour M, El-Sheery NI, Brestic M. Application of silicon nanoparticles in agriculture. 3 Biotech. 2019;9:90.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Hatami M, Hadian J, Ghorbanpour M. Mechanisms underlying toxicity and stimulatory role of single-walled carbon nanotubes in Hyoscyamus niger during drought stress simulated by polyethylene glycol. J Hazard Mater. 2017;324:306–20.

    Article  CAS  PubMed  Google Scholar 

  7. Oberdörster G, Maynard A, Donaldson K, Castranova V, Fitzpatrick J, Ausman K, Carter J, Karn B, Kreyling W, Lai D. Principles for characterizing the potential human health effects from exposure to nanomaterials: elements of a screening strategy. Part Fibre Toxicol. 2005;2(1):1–35.

    Article  Google Scholar 

  8. Rasouli H, Popović-Djordjević J, Sayyed RZ, Zarayneh S, Jafari M, Fazeli-Nasab B. Nanoparticles: a new threat to crop plants and soil rhizobia? In: Hayat S, Pichtel J, Faizan M, Fariduddin Q, editors. Sustainable agriculture reviews 41: nanotechnology for plant growth and development. Cham: Springer International Publishing; 2020. p. 201–14.

    Chapter  Google Scholar 

  9. Fazeli-Nasab B, Sirousmehr A-R, Azad H. Effect of titanium dioxide nanoparticles on essential oil quantity and quality in Thymus vulgaris under water deficit. J Med Plants By-Prod. 2018;7(2):125–33.

    Google Scholar 

  10. Hatami M, Ghorbanpour M. Metal and metal oxide nanoparticles-induced reactive oxygen species: Phytotoxicity and detoxification mechanisms in plant cell. Plant Physiol Biochem. 2024;213:108847. https://doi.org/10.1016/j.plaphy.2024.108847.

  11. Alavi M, Rai M. Antisense RNA, the modified CRISPR-Cas9, and metal/metal oxide nanoparticles to inactivate pathogenic bacteria. Cell Mol Biomed Rep. 2021;1(2):52–9.

    Article  Google Scholar 

  12. Alavi M, Hamblin MR, Mozafari MR, Alencar Rose, de Menezes I, Douglas Melo Coutinho H. Surface modification of SiO2 nanoparticles for bacterial decontaminations of blood products. Cell Mol Biomed Rep. 2022;2(2):87–98.

    Article  Google Scholar 

  13. Hajian MH, Ghorbanpour M, Abtahi F, Hadian J. Differential effects of biogenic and chemically synthesized silver-nanoparticles application on physiological traits, antioxidative status and californidine content in California poppy (Eschscholzia californica Cham). Environ Pollut. 2022;292:118300. https://doi.org/10.1016/j.envpol.2021.118300.

  14. Ghorbanpour M, Hatami M. Spray treatment with silver nanoparticles plus thidiazuron increases antioxidant enzyme activities and reduces petal and leaf abscission in four cultivars of geranium (Pelargonium zonale) during storage in the dark. J Hortic Sci Biotech. 2014;89(6):712–8.

    Article  CAS  Google Scholar 

  15. Hatami M, Ghorbanpour M. Effect of nanosilver on physiological performance of Pelargonium plants exposed to dark storage. J Hort Res. 2013;21(1):15–20.

    CAS  Google Scholar 

  16. Hatami M, Ghorbanpour M. Defense enzymes activity and biochemical variations of Pelargonium zonale in response to nanosilver particles and dark storage. Turk J Biol. 2014;38:130–9.

    Article  CAS  Google Scholar 

  17. Ghorbanpour M, Hatami H. Changes in growth, antioxidant defense system and major essential oils constituents of Pelargonium graveolens plant exposed to nano-scale silver and thidiazuron. Ind J Plant Physiol. 2015;20(2):116–23.

    Article  Google Scholar 

  18. Gupta SD, Agarwal A, Pradhan S. Phytostimulatory effect of silver nanoparticles (AgNPs) on rice seedling growth: an insight from antioxidative enzyme activities and gene expression patterns. Ecotoxicol Environ Saf. 2018;161:624–33.

    Article  CAS  PubMed  Google Scholar 

  19. Li C, Li J, Du X, Zhang J, Zou Y, Liu Y, Li Y, Lin H, Li H, Liu D, et al. Chloroplast thylakoidal ascorbate peroxidase, PtotAPX, has enhanced resistance to oxidative stress in Populus tomentosa. Int J Mol Sci. 2022;23(6):3340.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Tripathi D, Nam A, Oldenburg DJ, Bendich AJ. Reactive oxygen species, antioxidant agents, and DNA damage in developing maize mitochondria and plastids. Front Plant Sci. 2020;11:596. https://doi.org/10.3389/fpls.2020.00596.

  21. Akbar S, Wei Y, Yuan Y, Khan MT, Qin L, Powell CA, Chen B, Zhang M. Gene expression profiling of reactive oxygen species (ROS) and antioxidant defense system following Sugarcane mosaic virus (SCMV) infection. BMC Plant Biol. 2020;20(1):532.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Nadarajah KK. ROS homeostasis in abiotic stress tolerance in plants. Int J Mol Sci. 2020;21(15):5208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Xue C, Liu Z, Wang L, Li H, Gao W, Liu M, Zhao Z, Zhao J. The antioxidant defense system in Chinese jujube is triggered to cope with phytoplasma invasion. Tree Physiol. 2020;40(10):1437–49.

    Article  CAS  PubMed  Google Scholar 

  24. Rasouli H, Fazeli-Nasab B. Structural validation and homology modeling of LEA 2 protein in bread wheat. American-Eurasian J Agric Environ Sci. 2014;14(10):1044–8.

    Google Scholar 

  25. Forouzandeh M, Mohkami Z, Fazeli-Nasab B. Evaluation of biotic elicitors foliar application on functional changes, physiological and biochemical parameters of fennel (Foeniculum vulgare). Int J Plant Prod. 2019;25(4):49–65.

    Google Scholar 

  26. Gao L, Li W, Ren B, Hu Y, Ma X, Jia Y, Wang Z. First report of leaf blight caused by Pantoea agglomerans on wheat in China. Plant Dis. 2022. https://doi.org/10.1094/PDIS-07-22-1606-PDN.

  27. Kong P, Hong C. A Potent Burkholderia endophyte against boxwood blight caused by Calonectria pseudonaviculata. Microorganisms. 2020;8(2):310.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Yu L, Yang C, Ji Z, Zeng Y, Liang Y, Hou Y. First Report of New Bacterial Leaf Blight of Rice Caused by Pantoea ananatis in Southeast China. Plant Dis. 2021.

  29. Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal biochem. 1976;72(1–2):248–54.

    Article  CAS  PubMed  Google Scholar 

  30. Panda S, Singha L, Khan M. Does aluminium phytotoxicity induce oxidative stress in greengram (Vigna radiata). Bulgarian Journal of Plant Physiology. 2003;29(1–2):77–86.

    Google Scholar 

  31. Dhindsa RS, Plumb-Dhindsa P, Thorpe TA. Leaf senescence: correlated with increased levels of membrane permeability and lipid peroxidation, and decreased levels of superoxide dismutase and catalase. J Exp Bot. 1981;32(1):93–101.

    Article  CAS  Google Scholar 

  32. Etesami H, Fatemi H, Rizwan M. Interactions of nanoparticles and salinity stress at physiological, biochemical and molecular levels in plants: a review. Ecotoxicol Environ Saf. 2021;225:112769.

    Article  CAS  PubMed  Google Scholar 

  33. Lew TTS, Wong MH, Kwak SY, Sinclair R, Koman VB, Strano MS. Rational design principles for the transport and subcellular distribution of nanomaterials into plant protoplasts. Small. 2018;14(44):e1802086.

    Article  PubMed  Google Scholar 

  34. Sharma M, Bhushan S, Sharma D, Kaul S, Dhar MK. A brief review of plant cell transfection, gene transcript expression, and genotypic integration for enhancing compound production. Methods in molecular biology (Clifton, NJ). 2023;2575:153–79.

    Article  Google Scholar 

  35. Singhal RK, Kumar M, Bose B, Mondal S, Srivastava S, Dhankher OP, Tripathi RD. Heavy metal (loid)s phytotoxicity in crops and its mitigation through seed priming technology. Int J Phytoremediation. 2023;25(2):187–206.

    Article  CAS  PubMed  Google Scholar 

  36. Kulkarni SK. Nanotechnology: principles and practices. India: Capital Pub. Co; 2007.

    Google Scholar 

  37. Svendsen C, Walker LA, Matzke M, Lahive E, Harrison S, Crossley A, Park B, Lofts S, Lynch I, Vázquez-Campos S. Key principles and operational practices for improved nanotechnology environmental exposure assessment. Nat Nanotechnol. 2020;15(9):731–42.

    Article  CAS  PubMed  Google Scholar 

  38. Dastjerdi R, Montazer M. A review on the application of inorganic nano-structured materials in the modification of textiles: focus on anti-microbial properties. Colloids Surf, B. 2010;79(1):5–18.

    Article  CAS  Google Scholar 

  39. Khepar V, Ahuja R, Sidhu A, Samota MK. Nano-sulfides of Fe and Mn efficiently augmented the growth, antioxidant defense system, and metal assimilation in rice seedlings. ACS Omega. 2023;8(33):30231–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Khepar V, Sidhu A. Mankoo Rk, Manchanda P, Sharma AB: Nanobiostimulant action of trigolic formulated zinc sulfide nanoparticles (ZnS-T NPs) on rice seeds by triggering antioxidant defense network and plant growth specific transcription factors. Plant Physiol Biochem. 2024;210:108605.

    Article  CAS  PubMed  Google Scholar 

  41. Moharrami F, Hosseini B, Sharafi A, Farjaminezhad M. Enhanced production of hyoscyamine and scopolamine from genetically transformed root culture of Hyoscyamus reticulatus L elicited by iron oxide nanoparticles. Vitro Cell Dev Biol-Plant. 2017;53:104–11.

    Article  CAS  Google Scholar 

  42. Cvjetko P, Milošić A, Domijan A-M, Vinković Vrček I, Tolić S, Peharec Štefanić P, Letofsky-Papst I, Tkalec M, Balen B. Toxicity of silver ions and differently coated silver nanoparticles in Allium cepa roots. Ecotoxicol Environ Saf. 2017;137:18–28.

    Article  CAS  PubMed  Google Scholar 

  43. Štefanić PP, Cvjetko P, Biba R, Domijan A-M, Letofsky-Papst I, Tkalec M, Šikić S, Cindrić M, Balen B. Physiological, ultrastructural and proteomic responses of tobacco seedlings exposed to silver nanoparticles and silver nitrate. Chemosphere. 2018;209:640–53.

    Article  PubMed  Google Scholar 

  44. Cvjetko P, Zovko M, Štefanić PP, Biba R, Tkalec M, Domijan A-M, Vrček IV, Letofsky-Papst I, Šikić S, Balen B. Phytotoxic effects of silver nanoparticles in tobacco plants. Environ Sci Pollut Res. 2018;25:5590–602.

    Article  CAS  Google Scholar 

  45. Ruparelia JP, Chatterjee AK, Duttagupta SP, Mukherji S. Strain specificity in antimicrobial activity of silver and copper nanoparticles. Acta Biomater. 2008;4(3):707–16.

    Article  CAS  PubMed  Google Scholar 

  46. Pandey N, Gupta B, Pathak G. Antioxidant responses of pea genotypes to zinc deficiency. Russ J Plant Physiol. 2012;59:198–205.

    Article  CAS  Google Scholar 

  47. Ahmed T, Shahid M, Noman M, Niazi MBK, Mahmood F, Manzoor I, Zhang Y, Li B, Yang Y, Yan C, Chen J. Silver nanoparticles synthesized by using bacillus cereus SZT1 ameliorated the damage of bacterial leaf blight pathogen in rice. Pathogens. 2020;9(3):160. https://doi.org/10.3390/pathogens9030160.

  48. Shang H, Zhou Z, Wu X, Li X, Xu Y. Sunlight-induced synthesis of non-target biosafety silver nanoparticles for the control of rice bacterial diseases. Nanomaterials (Basel). 2020;10(10):2007. https://doi.org/10.3390/nano10102007.

  49. Calisir K, Krczal G, Uslu VV. Small RNA-seq dataset of wild type and 16C Nicotiana benthamiana leaves sprayed with naked dsRNA using the high-pressure spraying technique. Data Brief. 2022;45.

  50. Molesini B, Pennisi F, Cressoni C, Vitulo N, Dusi V, Speghini A, Pandolfini T. Nanovector-mediated exogenous delivery of dsRNA induces silencing of target genes in very young tomato flower buds. Nanoscale Adv. 2022;4(21):4542–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Nino-Sanchez J, Sambasivam PT, Sawyer A, Hamby R, Chen A, Czislowski E, Li P, Manzie N, Gardiner DM, Ford R, et al. BioClay prolongs RNA interference-mediated crop protection against Botrytis cinerea. J Integr Plant Biol. 2022;64(11):2187–98.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Yong J, Wu M, Zhang R, Bi S, Mann CWG, Mitter N, Carroll BJ, Xu ZP. Clay nanoparticles efficiently deliver small interfering RNA to intact plant leaf cells. Plant Physiol. 2022;190(4):2187–202.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Eslahi MR, Asadboland R. Application of nanoparticles in controlling of phytopathogenic fungi and improving fungicide’s performances. Appl Plant Prot. 2020;9(1):1–16.

    Google Scholar 

  54. Anusuya S, Banu KN. Silver-chitosan nanoparticles induced biochemical variations of chickpea (Cicer arietinum L.). Biocatal Agric Biotechnol. 2016;8:39–44.

    Article  CAS  Google Scholar 

  55. Sharma P, Bhatt D, Zaidi M, Saradhi PP, Khanna P, Arora S. Silver nanoparticle-mediated enhancement in growth and antioxidant status of Brassica juncea. Appl Biochem Biotechnol. 2012;167:2225–33.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Agronomy and Plant Breeding, Agriculture Faculty, Yasouj University, Yasouj, Iran

    Seyyedeh Zahra Fatemifard & Asad Masoumiasl

  2. Department of Agronomy and Plant Breeding, Agriculture Institute, Research Institute of Zabol, Zabol, Iran

    Bahman Fazeli-Nasab

  3. Department of Agronomy and Plant Breeding, Agriculture Faculty, University of Tehran, Tehran, Iran

    Ramin Piri

  4. Department of Agronomy and Plant Breeding, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran

    Ali Reza Mirzaei

  5. Department of Horticulture, Faculty of Environmental and Fisheries Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

    Ali Salehi Sardoei

  6. Department of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak, 38156-8-8349, Iran

    Mansour Ghorbanpour

  7. Institute of Nanoscience and Nanotechnology, Arak University, Arak, 38156-8-8349, Iran

    Mansour Ghorbanpour

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  1. Seyyedeh Zahra Fatemifard
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Contributions

A.M. supervised the research. S.Z.F. performed the experiment and collected the data. B.F-N., R.P., A.R.M., A.S.S., and M.G advised the research and revised the manuscript critically. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Asad Masoumiasl or Mansour Ghorbanpour.

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Fatemifard, S.Z., Masoumiasl, A., Fazeli-Nasab, B. et al. Exogenously applied silver nanoparticles (AgNPs) differentially affect bacterial blight disease control in twenty-seven wheat cultivars. BMC Plant Biol 24, 695 (2024). https://doi.org/10.1186/s12870-024-05424-7

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Keywords

BMC Plant Biology

ISSN: 1471-2229

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