Next Article in Journal
Light Intensity Modulates the Efficiency of Virus Seed Transmission through Modifications of Plant Tolerance
Previous Article in Journal
Circular and Micro RNAs from Arabidopsis thaliana Flowers Are Simultaneously Isolated from AGO-IP Libraries
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Eustress with H2O2 Facilitates Plant Growth by Improving Tolerance to Salt Stress in Two Wheat Cultivars

by
Arafat Abdel Hamed Abdel Latef
1,2,*,
Mojtaba Kordrostami
3,4,
Ali Zakir
5,
Hoida Zaki
2 and
Osama Moseilhy Saleh
6
1
Biology Department, Turabah University College, Taif University, Turabah Branch, 21995 Taif, Saudi Arabia
2
Botany and Microbiology Department, Faculty of Science, South Valley University, 83523 Qena, Egypt
3
Department of Plant Biotechnology, Faculty of Agricultural Sciences, University of Guilan, P.O. Box 41635-1314 Rasht, Iran
4
Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), P.O. Box 41996-13475 Rasht, Iran
5
Department of Environmental Sciences, COMSATS University Islamabad, Vehari-Campus, Vehari 61100, Pakistan
6
National Products Department, National Centre for Radiation Research and Technology (NCRRT), Egyptian Atomic Energy Authority, Nasr City, 11787 Cairo, Egypt
*
Author to whom correspondence should be addressed.
Submission received: 16 July 2019 / Revised: 16 August 2019 / Accepted: 19 August 2019 / Published: 27 August 2019
(This article belongs to the Section Plant Physiology and Metabolism)

Abstract

:
In this study, the positive role of hydrogen peroxide (H2O2) pretreatment in mitigating the adverse impacts of seawater stress has been evaluated in two wheat (Triticum aestivum L.) cultivars, namely Gemmiza 11 as a salt-sensitive and Misr 1 as a salt-tolerant cultivar, with contrasting phenotypes in response to the salinity stress. Under normal conditions, wheat seeds eustress with H2O2 have shown significant effects on the improvement of plant growth parameters, such as dry weight and root and shoot lengths. Under salt stress conditions, seeds eustress with H2O2 have shown a reduction in damage to plant growth and physiological parameters as compared to the seeds kept as un-primed in both wheat cultivars. In addition, eustress of seeds with H2O2 has induced an increment in the pigments content, proline level and mineral uptake (K+, Ca2+ and Mg2+). Moreover, seeds eustress with H2O2 have shown significant decrement in Na+ content uptake in plants and that subsequently reduced lipid peroxidation. Seawater stress has increased the activity of the antioxidant system based on catalase (CAT), peroxidase (POD) and ascorbate peroxidase (APX) in both cultivars, except POD in Gemmiza 11. Similarly, the application of H2O2 has further enhanced the activity of the antioxidant system in stressed plants and this enhancement of the antioxidant system further reduced Na+ content in plants and subsequently increased the growth parameters. Results of inter-simple sequence repeat (ISSR) markers have shown clear differentiation among the treatments and have provided strong evidence in support of the hypothesis proposed in this study that H2O2 eustress improves seed tolerance and enhances plant growth parameters under seawater stress.

1. Introduction

Salinity is an environmental factor affecting about one-third of the agricultural lands in the world and is considered as a serious problem for crop production in arid and semiarid regions [1,2,3]. In these regions, the water shortage, limited rainfall, intense heat, high evapotranspiration, poor water quality, improper agricultural practices and unmanaged irrigation systems have more seriously raised this problem [4]. On the other hand, the widespread use of irrigation leads to the penetration of seawater into irrigated water; and thus, freshwater becomes increasingly saline [5]. In order to cope with the lack of freshwater for sustainable agricultural development, agricultural scientists and planners knowledge of the utilization of seawater, at least diluted, is essential for the proper irrigation of agricultural crops [6,7].
Salt stress-induced shortage water can cause oxidative stress by increasing the production of reactive oxygen species (ROS), which results in cell damage through the oxidation of nucleic acids, lipids and proteins [8]. There is, however, compelling evidence of the biological and signaling role of ROS, especially hydrogen peroxide (H2O2), as a molecular messenger in plants [9,10]. H2O2 is one of the non-radical and relatively stable ROS, which is produced in plants during normal aerobic metabolism. At low concentrations, H2O2 acts as a regulator of some major processes, such as assimilation, photosynthesis, respiration, stomatal conductance, cell cycle, growth and development, and plant response to biotic and abiotic pressures [11]. However, its accumulation above a certain threshold will increase the oxidative damage, and ultimately the cell death [12,13]. Evidences suggest that H2O2 directly interferes with the expression of many genes and thus causes hypersensitive defense responses [14] or more antioxidant system activity [15] in plants under environmental stress conditions. Under salinity stress conditions, nitric oxide and H2O2 as messenger molecules cause the ionic balance in plant cells and cause salinity stress resistance. These molecules adjust the K+/Na+ ratio in plants, thereby avoiding plant stress from salinity [16]. In general, H2O2 accumulates in plants when the stress occurs, and a number of reports have suggested that H2O2 is a key factor in the phenomena of assimilation and stress adaptation [17]. Pretreatment of the seeds can help in controlling the process of water loss, and enhance metabolic activities before free radicals accumulate [18].
Molecular markers have been used to study the natural diversity of species, plant ecotypes and cultivars or the variations caused by induced mutations in plants [19,20]. Amplification of inter-simple sequence repeat (ISSR) molecular markers does not require prior knowledge of the genome and the design of specific primers [21], as microsatellite core sequences can be used as primers in the ISSR-PCR. However, unlike microsatellite markers, the knowledge of a host genome is not essential for the design of ISSR markers [19,20,22]. ISSR technique is dominant, more stable and reproducible, so this technique is used for many purposes such as varietal/line identification, population structure analysis, marker fingerprinting, genetic mapping and phylogenetic assisted selection [23]. The ISSR-PCR can quickly reveal the difference between individuals with a high degree of similarity and include multiple polymorphic loci. ISSR markers have been used widely to detect salt-tolerant genotypes in Hordeum vulgare [24], Sorghum bicolor [25], Saccharum officinarum [26] and Triticum aestivum [27].
Wheat (Triticum aestivum L.) is one of the most significant crop plants in the world and is relatively salinity-tolerant [28]. In this study, we hypothesize whether wheat seeds eustress with H2O2 improve tolerance against seawater stress and enhance plant growth parameters. The main aim of this study was to evaluate the impact of seed eustress with H2O2 on the physio-biochemical responses of two wheat cultivars, Gemmiza 11 and Misr 1, exposed to the seawater stress, which have contrasting salinity-responsive phenotypes. Furthermore, the experiments were performed at the molecular level using six ISSR markers to observe the differential responses of the two wheat cultivars against seawater stress with or without H2O2-eustress. In fact, it can be said that this is the first report about the application of ISSR markers in determining the effect of H2O2 eustress on a crop plant at the molecular level. Results from these experiments helped us in understanding the impact of H2O2 eustress on reducing the adverse effects of seawater stress on tested wheat cultivars as well as the implication of the proposed method in reducing stress in other wheat cultivars and different cereal crops.

2. Results

2.1. Seed Eustress with H2O2 Ameliorates Growth and Biomass Production in Wheat Plants

Under non-saline conditions, seedlings eustress with H2O2 showed high growth rates of both wheat cultivars as compared to the control plants (Figure 1A–C). Seawater stress reduced the seedlings dry weight (DW) (by 0.59 and 0.52 g plant−1; Figure 1A), root length (by 8 and 6 cm; Figure 1B) and shoot length (by 4.67 and 5 cm; Figure 1C) of treated plants as compared to the control plants of both cultivars, Gemmiza 11 and Misr 1, respectively. Whereas, eustress with H2O2 enhanced the seedlings DW (by 0.31 and 0.03 g plant−1; Figure 1A), root length (by 4 and 2 cm; Figure 1B) and shoot length (by 2.34 and 1 cm; Figure 1C) in salinized Gemmiza 11 and Misr 1, respectively, in comparison with the seedlings treated with seawater alone.

2.2. Seed Eustress with H2O2 Safeguards Photosynthetic Pigments from Seawater Stress

Pretreatment with H2O2 boosted the pigment content under the control conditions in both cultivars (Figure 2A–C). In comparison with the control plants, seawater stress reduced chlorophyll (Chl) a (by 0.37 and 0.17 mg g−1 fresh weight (FW); Figure 2A), Chl b (by 0.08 and 0.05 mg g−1 FW; Figure 2B) and carotenoids (by 0.08 and 0.04 mg g−1 FW; Figure 2C) in Gemmiza 11 and Misr 1, respectively. Eustress with H2O2 enhanced Chl a (by 0.1 and 0.04 mg g−1 FW; Figure 2A), Chl b (by 0.03 and 0.2 mg g−1 FW; Figure 2B) and carotenoids (by 0.03 and 0.2 mg g−1 FW; Figure 2C) in seawater-treated Gemmiza 11 and Misr 1, respectively as compared to seawater plants alone.

2.3. Seed Eustress with H2O2 Modulates the Content of Osmoprotectant (Proline) in Wheat Plants

Eustress with H2O2 decreased proline content in Gemmiza 11 (by 0.33 mg g−1 FW) and increased this osmolyte in Misr 1 (by 0.21 mg g−1 FW) (Table 1) as compared to control plants. Seawater stress progressively accumulated proline content in both cultivars (by 1.3 mg g−1 FW in Gemmiza 11 and 1.42 mg g−1 FW in Misr 1) over the control plants. However, under seawater stress, seed eustress with H2O2 increased proline content in Misr 1 by 0.17 mg g−1 FW and it markedly reduced proline content in the Gemmiza 11 cultivar by 0.55 mg g−1 FW relative to that in seawater-stressed-only plants (Table 1).

2.4. Seed Eustress with H2O2 Regulates the Mineral Uptake in Seawater-Exposed Wheat Plants

Under normal conditions, seed eustress with H2O2 diminished Na+ content and increased K+, Ca2+ and Mg2+ contents (Table 1) in both wheat cultivars. Seawater stress markedly and progressively accumulated Na+ content in Gemmiza 11 (by 33.72 mg g−1 DW) and in Misr 1 (by 18.26 mg g−1 DW) as compared to the control plants (Table 1). Interestingly, seawater stress increased K+ (by 1.26 mg g−1 DW), Ca2+ (by 1.83 mg g−1 DW) and Mg2+ (by 0.57 mg g−1 DW) in Misr 1 (Table 1); whereas, seawater stress decreased K+ (by 1.1 mg g−1 DW), Ca2+ (by 0.4 mg g−1 DW) and Mg2+ (by 0.06 mg g−1 DW) in Gemmiza 11 (Table 1) as compared to the control plants. Pretreatment with H2O2 decreased Na+ content in Gemmiza 11 (by 11.86 mg g−1 DW) and in Misr 1 (by 3.41 mg g−1 DW); on the other side, it enhanced the content of K+ (by 6.6 and 1.57 mg g−1 DW), Ca2+ (by 0.25 and 1.64 mg g−1 DW) and Mg2+ (by 0.13 and 0.17 mg g−1 DW) in Gemmiza 11 and Misr 1, respectively, versus stressed plants (Table 1).

2.5. Seed Eustress with H2O2 Lessens Lipid Peroxidation through the Enhancement of Antioxidant Enzymes Activity in Wheat Plants

H2O2 eustress reduced the content of malondialdehyde (MDA) (by 4.26 and 9.7 nmol g−1 FW) in Gemmiza 11 and Misr 1, respectively, compared to control plants (Figure 3A). Seawater stress induced a significant increase in the content of MDA (by 42 and 10 nmol g−1 FW) in Gemmiza 11 and Misr 1, respectively, compared to control plants (Figure 3A). Fascinatingly, H2O2 application mitigated this increase in MDA content by causing a decrease in Gemmiza 11 (by 28.96 nmol g−1 FW) and in Misr 1 (by 9.33 nmol g−1 FW) compared with that in the seawater-treated plants alone (Figure 3A). The activity of catalase (CAT), peroxidase (POD) and ascorbate peroxidase (APX) significantly increased in both wheat cultivars eustress with H2O2 compared to untreated plants (p < 0.05; Figure 3B–D). In comparison with the control plants, seawater stress increased the activity of CAT (by 6.62 and 1.1 Unit (U) min−1 g−1 FW) in Gemmiza 11 and Misr 1, respectively (Figure 3B). H2O2 application increased the activity of CAT (by 4.47 and 0.9 U min−1 g−1 FW) in Gemmiza 11 and Misr 1, respectively, versus seawater-treated plants alone (Figure 3B). While seawater stress reduced the activity of POD (by 1.02 U min−1 g−1 FW) in Gemmiza 11, it increased the activity of POD (by 10 U min−1 g−1 FW) in Misr 1 in comparison with the water control (Figure 3C). Seed eustress with H2O2 increased the activity of POD (by 12.79 and 1.33 U min−1 g−1 FW) in Gemmiza 11 and Misr 1, respectively, compared with that in the seawater-stressed alone plants (Figure 3C). For APX activity, seawater stress increased it (by 1.17 and 3.83 U min−1 g−1 FW), respectively in Gemmiza 11 and Misr 1 over the control plants (Figure 3D). Eustress with H2O2 enhanced the activity of APX (by 1.9 and 1.17 U min−1 g−1 FW), respectively in Gemmiza 11 and Misr 1 in comparison with seawater-stressed-only plants (Figure 3D).

2.6. Hierarchical Clustering and Principle Component Analysis (PCA) Analysis

By cutting the dendrogram from 0.06 section, treatments were divided into five groups. Seawater (Gemmiza 11) treatment of 35% was grouped in the first cluster (Figure 4). Based on the studied traits, it was observed that this treatment has the minimum amount for dry weight, root length, shoot length, Chl a and b, carotenoids, K+, Ca2+, Mg2+ and POD. The results showed that salinity stress has a negative effect on these traits in this cultivar. In cluster 2, 35% seawater (Misr 1) and 35% seawater + H2O2 (Misr 1) treatments were grouped together (Figure 4). Among the treatments, these two treatments had mean values for most of the traits. Although these two treatments were clustered in a group, by observing the traits we can see that in this cultivar, hydrogen peroxide pretreatment is able to significantly reduce the adverse and harmful effects of salinity stress.
In cluster 3, control (Misr 1) and control + H2O2 (Misr 1) treatments were grouped together (Figure 4). Among the treatments, these two treatments had the maximum values for most of the traits except for MDA and Na content. Although these two treatments were clustered in a group, by studying the traits, we can see that eustress with hydrogen peroxide increased favorable morphological and physio-biochemical traits in this cultivar under the control conditions. In cluster 4, control (Gemmiza 11) and control + H2O2 (Gemmiza 11) treatments were grouped together (Figure 4). The treatments in this cluster, after cluster 3, had the highest values for most of the traits. Finally, 35% seawater + H2O2 (Gemmiza 11) treatment was grouped in the last cluster (Figure 4). This cluster, after cluster 1, had the lowest values for most of the traits. Fischer’s discriminant function analysis was used to analyze the accuracy of grouping by cluster analysis. The accuracy of grouping by cluster analysis was 100%.
The PCA was performed to find the association of the different groups of treatments and morpho-physiological and biochemical traits (Figure 5). The two components of PCA (PC1 and PC2) collectively explained 92.37% of the total variation. Results showed five clusters. The first cluster concluded two treatments vis. control + H2O2 (Gemmiza 11) and control + H2O2 (Misr 1), respectively. These treatments were associated with the traits including dry weight, root and shoot length and photosynthetic pigments. This means that H2O2 eustress increased these traits significantly under control conditions. By having an extreme value for most of the traits, these two treatments were selected as the best treatments. Afterward, control (Misr 1) and control (Gemmiza 11) were grouped together. These treatments did not show significant association with any parameters. In addition, 35% seawater (Misr 1) and 35% seawater + H2O2 (Misr 1) treatments were grouped together. This group associated with antioxidants and proline. Finally, 35% seawater + H2O2 (Gemmiza 11) and 35% seawater (Gemmiza 11), by associating with Na and MDA, were clustered in two different groups. These two analyses confirmed our results, where seawater stress decreased most of the morpho-physiological and biochemical traits and increased MDA and Na content in two studied cultivars. On the other hand, H2O2 eustress increased most of the traits under control and salinity conditions.

2.7. Molecular Analysis of Treatment

Genetic differences at the DNA level resulted from different treatments which were evaluated using six ISSR primers. Totally, the primers used for diversity analysis of the treatments were able to detect 101 loci, of which 81 (80%) were polymorphic (Figure 6, Table 2, Table S1). Polymorphic alleles identified by each marker varied from 2 to 23, and an average of 9.1 polymorphic alleles was observed for each ISSR marker. On the other hand, two kinds of changes in the amplified bands were observed where some of the bands disappeared (−) as well as some of the new bands emerged (+) (Table S1).
The pattern of ISSR-1 primer revealed that under control conditions, seed eustress with H2O2 treatment led to the production of two bands in Gemmiza 11 and six bands in Misr 1. Under seawater stress, one band in Gemmiza 11 and five bands in Misr 1 were amplified. Under seawater stress conditions, eustress with H2O2 induced the synthesis of three bands in Gemmiza 11 and eight bands in Misr 1. Eustress with H2O2 induced the reappearance of one band in salinized Gemmiza 11 and two bands in salinized Misr 1 which disappeared under seawater stress (Table S1, Figure 6A).
Primer ISSR-2 showed that eustress with H2O2 caused the synthesis of one band in Gemmiza 11 and two bands in Misr 1 under non-seawater conditions. In Gemmiza 11, one band and in Misr 1, three bands were detected under seawater stress. Eustress with H2O2 provoked the appearance of one band in Gemmiza 11 and three bands in Misr 1 grown under seawater stress conditions. Eustress with H2O2 initiated again one band in both stressed wheat cultivars which were disappeared under seawater stress (Table S1, Figure 6B).
Primer ISSR-3 indicated that under non-stressed conditions, H2O2 pretreatment promoted the appearance of three bands in Gemmiza 11 and seven bands in Misr 1. Treatment with H2O2 seawater resulted in the appearance of three bands in Gemmiza 11 and four bands in Misr 1. Under seawater stress conditions, eustress led to the synthesis of four bands in Gemmiza 11 and ten bands in Misr 1. Eustress with H2O2 resulted in the reappearance of six bands in Gemmiza 11 and six bands in Misr 1 which disappeared under seawater stress (Table S1, Figure 6C).
Primer ISSR-4 displayed that under non-saline conditions, eustress with H2O2 stimulated the synthesis of two bands in Gemmiza 11 and six bands in Misr 1. In Gemmiza 11, two bands and in Misr 1, four bands were synthesized under seawater stress. Eustress with H2O2 induced the appearance of two bands in salinized Gemmiza 11 and eight bands in salinized Misr 1. In Gemmiza 11, two bands and in Misr 1, three bands disappeared under seawater stress but appeared again when eustress salinized both wheat cultivars with H2O2 (Table S1, Figure 6D).
The pattern of primer ISSR-5 illustrated that under control conditions, eustress with H2O2 led to the production of two bands in Gemmiza 11 and six bands in Misr 1. In Gemmiza 11, two bands and in Misr 1, four bands were detected under seawater stress. Eustress with H2O2 caused the appearance of two bands in salinized Gemmiza 11 and seven bands in salinized Misr 1. Eustress with H2O2 led to the reappearance of four bands which disappeared in salinized Misr 1 (Table S1, Figure 6E).
The pattern of ISSR-6 demonstrated that eustress with H2O2 provoked the synthesis of two bands in both Gemmiza 11 and Misr 1 cultivars. Under seawater stress, no bands were detected in Gemmiza 11 while, in Misr 1, two bands were synthesized under the same treatment. Eustress with H2O2 resulted in the appearance of two bands in salinized Gemmiza 11 and four in salinized Misr 1. Eustress with H2O2 resulted in the reappearance of two bands which disappeared in salinized Misr 1 (Table S1, Figure 6F).

3. Discussion

In high salinity, reduction in the water potential and increment of the concentration of salts in the plant growth medium show decreased root growth. Under these conditions, most of the root energy is used to absorb the active nutrients needed, resulting in reduced root growth. On the other hand, salt stress and subsequent reduction of water potential diminish the rate of elongation and cell turgor. This is the main cause of growth loss [29,30]. In addition, the results of this study show the harmful effects of seawater stress on plant height. Reduced plant height in response to seawater stress is related to a decrease in cell elongation which itself derives from the inhibitory effects of water scarcity on the growth-regulating agents that reduce cellular swelling, cell volume and ultimately cell growth [31,32]. Although adaptation to environmental stresses is considered a complex phenomenon, our results show that salinity could be harmful to plants, however, pretreatment with H2O2 could be responsible for reducing the deleterious effects of salinity on plant growth [33,34,35,36]. H2O2 provides better root carbohydrate by increasing the activity of starch hydrolyzing enzymes [37]. The increased root length usually increases the absorption of water and nutrients, so, it seems that under salinity stress conditions, plants treated with H2O2 with increasing root length could prevent the harmful effects of salinity on growth parameters [38]. On the other hand, the results of Ashraf et al. [38] demonstrated that H2O2 can act as an osmotic adjustment agent. Our results also show that H2O2 pretreatment enhances shoot length under seawater stress conditions. As mentioned above, H2O2 regulates intracellular osmotic pressure, and as a result of decreased water loss with H2O2 pretreatment, the plants showed normal growth under seawater stress and showed the least damage in growth related traits [39]. The stimulatory impact of H2O2 on improving plant height could be attributed to energizing of the cell division and formation of the secondary cell wall [39,40].
The reduction of Chl a and Chl b content under seawater conditions in the present study may be due to the chloroplastic injury and distortion in chlorophyll ultrastructures by ROS [41]. Another reason for the reduction of chlorophyll content due to salinity stress could probably be due to the change in the pathway of nitrogen metabolism to synthesize compounds such as proline, which is used for osmotic regulation [42]. Interestingly, in the present study, salinity decreased chlorophyll content, but proline increased which confirmed the above statement about the reason for the decrease in chlorophyll content. Seed eustress with H2O2 reduced the degradation of chloroplast membrane and thus prevented the reduction of chlorophyll content under seawater stress by reducing the oxidative stress and increasing the antioxidant capacity of the cell, thereby further preventing the chlorophyll catabolism [33]. Carotenoids, fat-soluble non-enzymatic antioxidants that support the cell against free radicals and singlet oxygen, are decreased under seawater stress in both wheat cultivars and this decrease in Misr 1 was far fewer than in Gemmiza 11. Minguez-Mosquera et al. [43] stated that the reduction of carotenoids under salt stress conditions could be due to the beta-carotene degradation and formation of the zeaxanthin in the xanthophyll cycle. Ziaf et al. [44] also stated that the level of carotenoids showed a positive correlation with salt stress tolerance and has been introduced as a salt tolerance assessing index. Seed eustress with H2O2 caused a significant increase in carotenoids of two salinized wheat cultivars which might be an indication of non-enzymatic antioxidant defense.
Seawater stress increased the proline content in both wheat cultivars especially in Misr 1. In accordance with the above results, Forlani et al. [45] reported increased proline under osmotic stress conditions. The reason behind this could be that increasing the amount of proline under salinity stress was related to its osmotic and antioxidant properties under stress conditions. In the present study, eustress with H2O2 increased proline in salinized Misr 1. He and Gao [46] reported that proline rapidly increased by pretreatment of wheat seeds with H2O2. Proline accumulation through the H2O2 pretreatment in Misr 1 cultivar could be due to its efficiency in neutralizing free radicals of hydroxyl. Interestingly, H2O2 eustress retarded the accumulation of proline in salinized Gemmiza 11. Accordingly, proline emerged as a sensor of salt tolerance in Misr 1 and a symptom of the salt stress injury in Gemmiza 11.
In this study, salinity increased Na+ and decreased other essential nutrients significantly. Different studies showed that under seawater stress conditions, high Na+ and Cl absorption competes with the K+, Mg2+ and Ca2+ uptake which leads to a deficiency of these ions and an imbalance [16,47,48], which is in line with this study. In the present study, eustress of H2O2 not only allayed the harmful effect of excessive Na+ by limiting its uptake but also triggered a significant increase in the uptake of essential mineral elements including K+, Ca2+ and Mg2+. These findings clearly show that H2O2 activates changes, primarily linked to the stimulation of antioxidants, stands fast in safeguarding turgor and meets plant nutritional demands to thrive under salinity [49].
Under seawater stress, the level of MDA was observed as increased in both wheat cultivars indicating cell membrane damage in both cultivars, however, the accumulation of MDA in Misr 1 was lower compared to that in Gemmiza 11. These results have indications that Misr 1 possessed better protection against oxidative damage caused by seawater treatment and lower lipid peroxidation and the reduced membrane permeability compared to Gemmiza 11. Conversely, eustress of seeds with H2O2 showed a reduction in MDA in both tested wheat cultivars. The results here show that pretreatment of H2O2 can be helpful for plants in reducing oxidative stress. Subsequently, a significant reduction of MDA in the studied treatments may further ensure the integrity of the membrane and reduction of the leakage of important ions [49].
CAT activity increased under seawater stress in both cultivars and this increase was more obvious in Gemmiza 11 than Misr 1. However, this higher activity of CAT in Gemmiza 11 did not keep plenty guard against ROS, as assessed by simultaneous augmentation of MDA. Eustress with H2O2 increased the activity of this enzyme in both cultivars over salinized plants. Çavusoglu and Kabar [34], Gondim et al. [50] and Santhy et al. [51] have apprised that pretreatment of H2O2 increased the activity of CAT enzyme in plants in response to salt stress and enhanced salt tolerance in plants. In this study, POD activity increased under seawater stress in Misr 1 and decreased in Gemmiza 11 in the same situation. In previous studies, POD has been shown to play a role in the metabolism of ROS and the cellular biosynthesis of plants by hastening the final step of lignin synthesis [52,53]. This decrease in POD lessened the ability of Gemmiza 11 to scavage O2 radicals and helped the accumulation of ROS, which could produce membrane injury. In opposition to seawater stress, H2O2 application stimulated POD activity and may has forecasted an augmented production of lignins and related defensive compounds in mitigating the oxidative pressure provoked damage. APX activity boosted under seawater stress in both tested wheat cultivars. Reports have manifested that APX activity augmented during oxidative stress in alfalfa and rice plants [54,55]. Pretreatment of H2O2 increased the activity of this enzyme in both cultivars over salinized plants. Shigeoka et al. [56] reported that pretreatment of H2O2 increased the activity of APX in the plants in response to salt stress and enhanced the salt tolerance in plants. In this work, greater activity of antioxidant enzymes in H2O2 plants compared with salinized plants was associated with dropped accumulation of MDA, indicating lower oxidative damage in H2O2 plants.
In order to verify the morpho-physiological and biochemical changes, molecular markers were used in this study to analyze and confirm the variation among the treatments. It has been discussed in various sources that ROS caused by salinity stress can severely destroy cellular components such as lipids, proteins and DNA [57,58]. Under salinity stress, all the main components of DNA (i.e., purine and pyrimidine bases, sugars and phosphodiester bonds), could suffer from damage [59]. Saha et al. [60] stated that DNA damage was provoked in response to salinity stress. Oxidative stress due to salinity stress could cause protein denaturation and even break DNA strands [61]. Regarding the mentioned cases, the molecular study (simultaneously with the study of morphological traits) of treatments could increase our understanding of salinity stress. The ISSR markers have been used in various salinity tolerance studies [25,62,63]. Also, various researchers indicated that this technique based on the PCR reaction is a fantastic tool [64] for genetic improvement of crop plants to tolerate various environmental stresses [65,66,67]. Also, different researches performed association analysis to find the ISSR markers which are linked with salinity tolerance [64,68,69,70].
Like previous studies, the results from this study have also shown superiority and repeatability of ISSR markers for determining salinity tolerance treatments primers. Considering the high percentage of polymorphism (80%), it could be expected that these markers may have acted as a powerful tool in identifying and distinguishing the treatments [71]. In their study, Krupa-Małkiewicz and Bienias [68] found that both ISSR and Random Amplification of Polymorphic DNA (RAPD) primers successfully detected the association with changes induced by chemical mutagenesis and salinity. Like this study, they concluded that the bulked segregant analysis (BSA) technique using an ISSR marker is a rapid tool for detecting salt-tolerant genotypes. Like our study, BSA technique is widely used for the salt tolerance traits in wheat [72], preharvest sprouting resistance traits in rye [73] and sex-related traits in jojoba [74].
According to the results in Table S1, the tolerant cultivar (Misr 1) showed more bands than the sensitive cultivar (Gemmiza 11) under seawater stress. Our results are in harmony with El-Nahas et al. [75] who used the ISSR method to detect some molecular markers linked with drought tolerance in six local and exotic lentil genotypes. It could be interestingly to note that some DNA bands disappeared under seawater stress but were produced again by H2O2 treatment of the salinized wheat genotypes, especially Misr 1. Thus, these bands that are related to H2O2 treatment might have played a key role in the signaling of plant adaptive responses to seawater stress.
In conclusion, the inhibitory impacts of seawater stress on seedling growth and other relevant physiological metabolites can be mitigated by eustress seeds with H2O2. Plant growth induction and salt tolerance by H2O2 eustress in both wheat cultivars have a strong association with the variation in ISSR markers. To the best of our knowledge, this is the first report explaining the impact of H2O2 on ISSR markers of wheat under seawater stress and further molecular studies can stipulate information on the influence of H2O2 on plant metabolism under seawater stress.

4. Materials and Methods

4.1. Seed Selection and Treatments

Seeds of wheat cultivars, Gemmiza 11 and Misr 1, were provided by the Wheat Research Department, Field Crops Research Institute, Giza, Egypt. Gemmiza 11 was a salt-sensitive cultivar, whereas Misr 1 was a salt-tolerant cultivar [76]. Seawater was collected from the Red Sea of Hurghada coastal area of Egypt. The concentration of cations and anions of seawater was as follows (mg 100 mL−1): Na+ = 1078.4; K+ = 39.7; Ca2+ = 43; Cl = 1945.2; and SO42− = 272.1. Seeds of wheat cultivars were surface sterilized with 0.1% mercuric chloride (HgCl2) for 5 min, rinsed thrice with distilled water and then divided into two sets before the application of seawater stress and eustress treatments. For eustress, each of the obtained sets was soaked separately in distilled water and H2O2 (1 mM), respectively, for 8 h followed by air drying for 2 h. After the eustress treatment, seeds were washed before placing them in Petri dishes for testing growth parameters. For seedling germination, 30 seeds were placed in each sterilized Petri dish having filter paper moistened with 10 mL of distilled water or seawater and were incubated at 25 °C. Experiments were performed on each cultivar by dividing them into the following four different treatments: (i) distilled water-eustress + distilled water = W + W (0%), (ii) H2O2-eustress + distilled water = H2O2 + W (0%), (iii) distilled water-eustress + 35% diluted seawater = W + SW (35%), and (iv) H2O2-eustress + 35% diluted seawater = H2O2 + SW (35%). Three replicates (n = 3) were used for each treatment. Distilled water or seawater solutions (3 mL) were added to the respective Petri dishes on the 3rd and 6th days after the imbibition of the seeds. The eustress time, as well as the concentrations of H2O2 and seawater, were selected based on a series of preliminary experiments. Seedlings were harvested after a period of 10 days and a part of each treatment was transferred to a −80 °C freezer for DNA extraction. The length of fresh roots and shoots of these seedlings was also recorded. Dry weight (DW) of seedlings was determined after drying the freshly harvested seedlings in an aerated oven at 70 °C.

4.2. Determination of Carotenoids and Chlorophyll Contents

Carotenoid and chlorophyll (Chl a and Chl b) contents were determined in fresh leaves using a spectrophotometer by following the method adopted by Lichtenthaler and Wellburn [77].

4.3. Determination of Proline and Malondialdehyde Contents

Bates et al. [78] method was used to measure the proline contents in fresh leaves, while the thiobarbituric acid (TBA) reaction was used to determine malondialdehyde (MDA) content in the fresh leaf tissues following the method described by Abdel Latef and Tran [79]. The absorbance was read at 450, 532 and 600 nm, and the MDA content was calculated on the fresh weight (FW) basis using the following formula:
MDA content (nmol g−1 FW) = 6.45 × (A532A600) − 0.56 × A450

4.4. Determination of Mineral Contents

Dried seedling samples (0.1 g) were acid-digested using 80% perchloric acid (HClO4) and concentrated using H2SO4 solution (1:5) for 12 h. The Ca2+, Mg2+, Na+ and K+ contents in the digested samples were determined as described by Williams and Twine [80].

4.5. Determination of Antioxidant Enzyme Activities

Fresh leaf samples were used to determine the activity of antioxidant enzymes. Extraction of samples and preparation of supernatants were carried out according to the method reported in Ahmad et al. [81]. Ascorbate peroxidase (APX; EC 1.11.1.11), peroxidase (POD; EC 1.11.1.7) and catalase (CAT; EC 1.11.1.6) activities were assessed according to the methods described by Chen and Asada [82], Maehly and Chance [83] and Aebi [84], respectively.

4.6. DNA Extraction and ISSR-PCR Analysis

DNA extraction and purification were carried out according to the procedure of the DNeasy Kit (Qiagen, Hilden, Germany). A set of 6 primers were used in the ISSR-PCR technique (Table 2). The polymerase chain reaction (PCR) was carried out as described in Adhikari et al. [85]. The PCR products were separated by electrophoresis using a 1% agarose gel and photographed using a Gel Documentation System (BIO-RAD 2000). Lambda DNA Hind III digest was used as a DNA marker.

4.7. Statistical Analysis

Analysis of variance (ANOVA) of all the traits was performed based on the factorial design using the SAS ver. 9 software [86]. The mean comparison of the treatments was investigated using Duncan’s multiple range test (DMRT) at the level of significance (p < 0.05) using the SPSS ver. 19 [87]. The data obtained from three replications (n = 3) was presented as the means ± standard errors (SEs) and different letters were used to show the significant different treatment bars. Hierarchical cluster analysis was conducted using Past Software ver. 2.12 [88]. Principal component analysis (PCA) was performed to draw a biplot of the studied treatments using StatGraphics X VII version [89].

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/2223-7747/8/9/303/s1, Table S1: Inter-simple sequence repeat (ISSR) analysis of polymorphic bands for eight treatments using six primers. T1 = W + W (0%); T2 = H2O2 + W (0%); T3 = W + SW (35%); T4 = H2O2 + SW (35%).

Author Contributions

Conceptualization, A.A.H.A.L.; and O.M.S.; data curation, A.A.H.A.L., M.K., H.Z. and O.M.S.; formal analysis, M.K. and O.M.S.; funding acquisition, A.A.H.A.L. and O.M.S.; investigation, A.A.H.A.L. and O.M.S.; methodology, A.A.H.A.L., H.Z. and O.M.S.; project administration, A.A.H.A.L. and O.M.S.; software, M.K.; supervision, A.A.H.A.L.; validation, A.A.H.A.L. and O.M.S.; visualization, A.A.H.A.L. and O.M.S.; writing—original draft, M.K., A.Z., H.Z. and O.M.S.; writing—review and editing, A.A.H.A.L.

Funding

This research was funded by the Deanship of Scientific Research at Taif University, Saudi Arabia, Research Project Number: 1-438-5457.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kordrostami, M.; Rabiei, B.; Kumleh, H. Association analysis, genetic diversity and haplotyping of rice plants under salt stress using SSR markers linked to SalTol and morpho-physiological characteristics. Plant Syst. Evol. 2016, 302, 871–890. [Google Scholar] [CrossRef]
  2. Ismail, A.M.; Horie, T. Genomics, physiology, and molecular breeding approaches for improving salt tolerance. Annu. Rev. Plant Biol. 2017, 68, 405–434. [Google Scholar] [CrossRef] [PubMed]
  3. Abdel Latef, A.A.; Srivastava, A.K.; Abdel El-sadek, M.S.; Kordrostami, M.; Tran, L.S.P. Titanium dioxide nanoparticles improve growth and enhance tolerance of broad bean plants under saline soil conditions. Land Degrad. Dev. 2018, 29, 1065–1073. [Google Scholar] [CrossRef]
  4. Oyiga, B.C.; Sharma, R.C.; Baum, M.; Ogbonnaya, F.C.; Léon, J.; Ballvora, A. Allelic variations and differential expressions detected at quantitative trait loci for salt stress tolerance in wheat. Plant Cell Environ. 2018, 41, 919–935. [Google Scholar] [CrossRef] [PubMed]
  5. Ning, T. Effects of seawater stress on seed germination and growth of pepper. J. Nanjing Xiaozhuang Univ. 2017, 6, 019. [Google Scholar]
  6. Negrão, S.; Schmöckel, S.; Tester, M. Evaluating physiological responses of plants to salinity stress. Ann. Bot. 2017, 119, 1–11. [Google Scholar] [CrossRef] [PubMed]
  7. Abdel Latef, A.A.; Mostofa, M.G.; Rahman, M.M.; Abdel-Farid, I.B.; Tran, L.S.P. Extracts from yeast and carrot roots enhance maize performance under seawater-induced salt stress by altering physio-biochemical characteristics of stressed plants. J. Plant Growth Regul. 2019. [Google Scholar] [CrossRef]
  8. Schmitt, F.J.; Allakhverdiev, S.I. Reactive Oxygen Species: Signaling between Hierarchical Levels in Plants; John Wiley & Sons: Hoboken, NJ, USA, 2017. [Google Scholar]
  9. Schieber, M.; Chandel, N. Ros function in redox signaling and oxidative stress. Curr. Biol. 2014, 24, R453–R462. [Google Scholar] [CrossRef]
  10. Hossain, M.A.; Bhattacharjee, S.; Armin, S.M.; Qian, P.; Xin, W.; Li, H.Y.; Burritt, D.J.; Fujita, M.; Tran, L.S.P. Hydrogen peroxide priming modulates abiotic oxidative stress tolerance: Insights from ROS detoxification and scavenging. Front. Plant Sci. 2015, 6, 420. [Google Scholar] [CrossRef]
  11. Choudhury, F.K.; Rivero, R.M.; Blumwald, E.; Mittler, R. Reactive oxygen species, abiotic stress and stress combination. Plant J. 2017, 90, 856–867. [Google Scholar] [CrossRef]
  12. Sofo, A.; Scopa, A.; Nuzzaci, M.; Vitti, A. Ascorbate peroxidase and catalase activities and their genetic regulation in plants subjected to drought and salinity stresses. Int. J. Mol. Sci. 2015, 16, 13561–13578. [Google Scholar] [CrossRef]
  13. Kundu, P.; Gill, R.; Ahlawat, S.; Anjum, N.A.; Sharma, K.K.; Ansari, A.A.; Hasanuzzaman, M.; Ramakrishna, A.; Chauhan, N.; Tuteja, N. Targeting the redox regulatory mechanisms for abiotic stress tolerance in crops. In Biochemical, Physiological and Molecular Avenues for Combating Abiotic Stress Tolerance in Plants; Elsevier: Amsterdam, The Netherlands, 2018; pp. 151–220. [Google Scholar]
  14. Kovtun, Y.; Chiu, W.L.; Tena, G.; Sheen, J. Functional analysis of oxidative stress-activated mitogen-activated protein kinase cascade in plants. Proc. Natl. Acad. Sci. USA 2000, 97, 2940–2945. [Google Scholar] [CrossRef] [Green Version]
  15. Hung, S.; Yu, C.; Lin, C.H. Hydrogen peroxide functions as a stress signal in plants. Bot. Bull. Acad. Sin. 2005, 46, 1–10. [Google Scholar]
  16. Ellouzi, H.; Sghayar, S.; Abdelly, C. H2O2 seed priming improves tolerance to salinity; drought and their combined effect more than mannitol in Cakile maritima when compared to Eutrema salsugineum. J. Plant Physiol. 2017, 210, 38–50. [Google Scholar] [CrossRef]
  17. Zandalinas, S.; Mittler, R. Ros-induced ROS release in plant and animal cells. Free Radic. Biol. Med. 2018, 122, 21–27. [Google Scholar] [CrossRef]
  18. Ashraf, M.A.; Akbar, A.; Askari, S.H.; Iqbal, M.; Rasheed, R.; Hussain, I. Recent advances in abiotic stress tolerance of plants through chemical priming: An overview. In Advances in Seed Priming; Springer: Berlin/Heidelberg, Germany, 2018; pp. 51–79. [Google Scholar]
  19. Nadeem, M.A.; Nawaz, M.A.; Shahid, M.Q.; Doğan, Y.; Comertpay, G.; Yıldız, M.; Hatipoğlu, R.; Ahmad, F.; Alsaleh, A.; Labhane, N. DNA molecular markers in plant breeding: Current status and recent advancements in genomic selection and genome editing. Biotechnol. Biotechnol. Equip. 2018, 32, 261–285. [Google Scholar] [CrossRef]
  20. Garrido-Cardenas, J.A.; Mesa-Valle, C.; Manzano-Agugliaro, F. Trends in plant research using molecular markers. Planta 2017, 1–15. [Google Scholar] [CrossRef]
  21. Lee, S.Y.; Ng, W.L.; Lamasudin, D.U.; Mohamed, R. Inter-simple sequence repeat markers reveal genetic relatedness between natural Aquilaria populations in peninsular Malaysia. Chiang Mai J. Sci. 2018, 45, 1307–1317. [Google Scholar]
  22. Ng, W.; Tan, S. Inter-simple sequence repeat (ISSR) markers: Are we doing it right. ASM Sci. J. 2015, 9, 30–39. [Google Scholar]
  23. Vijayan, K. Inter simple sequence repeat (ISSR) polymorphism and its application in mulberry genome analysis. Int. J. Ind. Entomol. 2005, 10, 79–86. [Google Scholar]
  24. Khatab, I.A.; Samah, M.A. Development of agronomical and molecular genetic markers associated with salt stress tolerance in some barley genotypes. Curr. Res. J. Biol. Sci. 2013, 5, 198–204. [Google Scholar] [CrossRef]
  25. Khalil, R.M. Molecular and biochemical markers associated with salt tolerance in some sorghum genotypes. World Appl. Sci. J. 2013, 22, 459–469. [Google Scholar] [CrossRef]
  26. Markad, N.R.; Kale, A.A.; Pawar, B.D.; Jadhav, A.S.; Patil, S.C. Molecular characterization of sugarcane (Saccharum officinarum l.) genotypes in relation to salt tolerance. Bioscan 2014, 9, 1785–1788. [Google Scholar]
  27. Yaycili, O.; Sen, A.; Alikamanoglu, S. Induced of salt tolerance wheat (Triticum aestivum L.) mutants with gamma radiation and determining molecular analysis by ISSR. Procedia Environ. Sci. 2015, 196. [Google Scholar] [CrossRef]
  28. Wu, H.; Shabala, L.; Azzarello, E.; Huang, Y.; Pandolfi, C.; Su, N.; Wu, Q.; Cai, S.; Bazihizina, N.; Wang, L. Na+ extrusion from the cytosol and tissue-specific Na+ sequestration in roots confer differential salt stress tolerance between durum and bread wheat. J. Exp. Bot. 2018, 18, 3987–4001. [Google Scholar] [CrossRef]
  29. Acosta-Motos, J.R.; Ortuño, M.F.; Bernal-Vicente, A.; Diaz-Vivancos, P.; Sanchez-Blanco, M.J.; Hernandez, J.A. Plant responses to salt stress: Adaptive mechanisms. Agronomy 2017, 7, 18. [Google Scholar] [CrossRef]
  30. Hussain, M.; Ahmad, S.; Hussain, S.; Lal, R.; Ul-Allah, S.; Nawaz, A. Rice in saline soils: Physiology, biochemistry, genetics, and management. In Advances in Agronomy; Elsevier: Amsterdam, The Netherlands, 2018; Volume 148, pp. 231–287. [Google Scholar]
  31. Abass, S.M.; Mohamed, H.I. Alleviation of adverse effects of drought stress on common bean (Phaseolus vulgaris L.) by exogenous application of hydrogen peroxide. Bangladesh J. Bot. 2011, 40, 75–83. [Google Scholar] [CrossRef]
  32. Kasim, W.A.; Nessem, A.A.; Gaber, A. Alleviation of drought stress in Vicia Faba by seed priming with ascorbic acid or extracts of garlic and carrot. Egypt. J. Bot. 2017, 57, 45–49. [Google Scholar] [CrossRef]
  33. Chrysargyris, A.; Michailidi, E.; Tzortzakis, N. Physiological and biochemical responses of Lavandula angustifolia to salinity under mineral foliar application. Front. Plant Sci. 2018, 9, 489. [Google Scholar] [CrossRef]
  34. Çavusoglu, K.; Kabar, K. Effects of hydrogen peroxide on the germination and early seedling growth of barley under nacl and high temperature stresses. Eurasian J. Biosci. 2010, 4. [Google Scholar] [CrossRef]
  35. De Azevedo Neto, A.D.; Prisco, J.T.; Enéas-Filho, J.; Medeiros, J.V.R.; Gomes-Filho, E. Hydrogen peroxide pre-treatment induces salt-stress acclimation in maize plants. J. Plant Physiol. 2005, 162, 1114–1122. [Google Scholar] [CrossRef]
  36. Ishibashi, Y.; Yamamoto, K.; Tawaratsumida, T.; Yuasa, T.; Iwaya-Inoue, M. Hydrogen peroxide scavenging regulates germination ability during wheat (Triticum aestivum L.) seed maturation. Plant Signal. Behav. 2008, 3, 183–188. [Google Scholar] [CrossRef]
  37. Sayed, S.; Gadallah, M. Hydrogen peroxide supplementation alleviates the deleterious effects of cadmium on photosynthetic pigments and oxidative stress and improves growth, yield and pods quality of pea (Pisum sativum l.) plants. Acta Physiol. Plant. 2019, 41, 113. [Google Scholar] [CrossRef]
  38. Ashraf, M.A.; Rasheed, R.; Hussain, I.; Iqbal, M.; Haider, M.Z.; Parveen, S.; Sajid, M.A. Hydrogen peroxide modulates antioxidant system and nutrient relation in maize (Zea mays L.) under water-deficit conditions. Arch. Agron. Soil Sci. 2015, 61, 507–523. [Google Scholar] [CrossRef]
  39. Pirbalouti, A.G.; Malekpoor, F.; Salimi, A.; Golparvar, A. Exogenous application of chitosan on biochemical and physiological characteristics, phenolic content and antioxidant activity of two species of basil (Ocimum ciliatum and Ocimum basilicum) under reduced irrigation. Sci. Hortic. 2017, 217, 114–122. [Google Scholar] [CrossRef]
  40. Hasanuzzaman, M.; Nahar, K.; Gill, S.S.; Alharby, H.F.; Razafindrabe, B.H.; Fujita, M. Hydrogen peroxide pretreatment mitigates cadmium-induced oxidative stress in Brassica napus L.: An intrinsic study on antioxidant defense and glyoxalase systems. Front. Plant Sci. 2017, 8, 115. [Google Scholar] [CrossRef]
  41. Becker, V.I.; Goessling, J.W.; Duarte, B.; Caçador, I.; Liu, F.; Rosenqvist, E.; Jacobsen, S.E. Combined effects of soil salinity and high temperature on photosynthesis and growth of quinoa plants (Chenopodium quinoa). Funct. Plant Biol. 2017, 44, 665–678. [Google Scholar] [CrossRef]
  42. Gomes, M.A.D.C.; Pestana, I.A.; Santa-Catarina, C.; Hauser-Davis, R.A.; Suzuki, M.S. Salinity effects on photosynthetic pigments, proline, biomass and nitric oxide in Salvinia auriculata aubl. Acta Limnol. Bras. 2017, 29. [Google Scholar] [CrossRef]
  43. Minguez-Mosquera, M.; Jaren-Galan, M.; Garrido-Fernandez, J. Lipoxygenase activity during pepper ripening and processing of paprika. Phytochemistry 1993, 32, 1103–1108. [Google Scholar] [CrossRef]
  44. Ziaf, K.; Amjad, M.; Pervez, M.A.; Iqbal, Q.; Rajwana, I.A.; Ayyub, M. Evaluation of different growth and physiological traits as indices of salt tolerance in hot pepper (Capsicum annuum l.). Pak. J. Bot. 2009, 41, 1797–1809. [Google Scholar]
  45. Forlani, G.; Bertazzini, M.; Cagnano, G. Stress-driven increase in proline levels, and not proline levels themselves, correlates with the ability to withstand excess salt in a group of 17 italian rice genotypes. Plant Biol. 2018, 336–342. [Google Scholar] [CrossRef]
  46. He, L.; Gao, Z. Pretreatment of seed with h2o2 enhances drought tolerance of wheat (Triticum aestivum L.) seedlings. Afr. J. Biotechnol. 2009, 8. [Google Scholar] [CrossRef]
  47. Abdel Latef, A.A. Ameliorative effect of calcium chloride on growth, antioxidant enzymes, protein patterns and some metabolic activities of canola (Brassica napus L.) under seawater stress. J. Plant Nutr. 2011. [Google Scholar] [CrossRef]
  48. Abdel Latef, A.A.; Alhmad, M.F.; Hammad, S.A. Foliar application of fresh moringa leaf extract overcomes salt stress in fenugreek (Trigonella foenum-graecum) plants. Egypt. J. Bot. 2011, 157–179. [Google Scholar]
  49. Wahid, A.; Perveen, M.; Gelani, S.; Basra, S.M. Pretreatment of seed with H2O2 improves salt tolerance of wheat seedlings by alleviation of oxidative damage and expression of stress proteins. J. Plant Physiol. 2007, 164, 283–294. [Google Scholar] [CrossRef]
  50. Gondim, F.A.; Gomes-Filho, E.; Lacerda, C.F.; Prisco, J.T.; Azevedo Neto, A.D.; Marques, E.C. Pretreatment with h2o2 in maize seeds: Effects on germination and seedling acclimation to salt stress. Braz. J. Plant Physiol. 2010, 22, 103–112. [Google Scholar] [CrossRef]
  51. Santhy, V.; Meshram, M.; Wakde, R.; Kumari, P.V. Hydrogen peroxide pre-treatment for seed enhancement in cotton (gossypim hirsutum L.). Afr. J. Agric. Res. 2014, 9, 1982–1989. [Google Scholar] [CrossRef]
  52. Vaidyanathan, H.; Sivakumar, P.; Chakrabarty, R.; Thomas, G. Scavenging of reactive oxygen species in nacl-stressed rice (Oryza sativa L.)—differential response in salt-tolerant and sensitive varieties. Plant Sci. 2003, 165, 1411–1418. [Google Scholar] [CrossRef]
  53. Kumar, V.; Shriram, V.; Nikam, T.; Jawali, N.; Shitole, M.G. Antioxidant enzyme activities and protein profiling under salt stress in indica rice genotypes differing in salt tolerance. Arch. Agron. Soil Sci. 2009, 55, 379–394. [Google Scholar] [CrossRef]
  54. Rubio, M.C.; González, E.M.; Minchin, F.R.; Webb, K.J.; Arrese-Igor, C.; Ramos, J.; Becana, M. Effects of water stress on antioxidant enzymes of leaves and nodules of transgenic alfalfa overexpressing superoxide dismutases. Physiol. Plant. 2002, 115, 531–540. [Google Scholar] [CrossRef] [Green Version]
  55. Sharma, P.; Dubey, R.S. Drought induces oxidative stress and enhances the activities of antioxidant enzymes in growing rice seedlings. Plant Growth Regul. 2005, 46, 209–221. [Google Scholar] [CrossRef]
  56. Shigeoka, S.; Ishikawa, T.; Tamoi, M.; Miyagawa, Y.; Takeda, T.; Yabuta, Y.; Yoshimura, K. Regulation and function of ascorbate peroxidase isoenzymes. J. Exp. Bot. 2002, 53, 1305–1319. [Google Scholar] [CrossRef]
  57. Yu, S.; Wang, W.; Wang, B. Recent progress of salinity tolerance research in plants. Russ. J. Genet. 2012, 48, 497–505. [Google Scholar] [CrossRef]
  58. Saha, S.; Sadle, J.; Van Der Heiden, C.; Sternberg, L. Salinity, groundwater, and water uptake depth of plants in coastal uplands of everglades national park (florida, USA). Ecohydrology 2015, 8, 128–136. [Google Scholar] [CrossRef]
  59. Bray, C.M.; West, C.E. DNA repair mechanisms in plants: Crucial sensors and effectors for the maintenance of genome integrity. New Phytol. 2005, 168, 511–528. [Google Scholar] [CrossRef]
  60. Saha, J.; Brauer, E.K.; Sengupta, A.; Popescu, S.C.; Gupta, K.; Gupta, B. Polyamines as redox homeostasis regulators during salt stress in plants. Front. Environ. Sci. 2015, 3, 21. [Google Scholar] [CrossRef]
  61. Mittler, R. Oxidative stress, antioxidants and stress tolerance. Trends Plant Sci. 2002, 7, 405–410. [Google Scholar] [CrossRef]
  62. Tazeb, A.; Haileselassie, T.; Tesfaye, K. Molecular characterization of introduced sugarcane genotypes in ethiopia using inter simple sequence repeat (ISSR) molecular markers. Afr. J. Biotechnol. 2017, 16, 434–449. [Google Scholar] [CrossRef]
  63. Younis, R.A.; Ahmed, M.; El-Menshawy, M.M. Molecular genetic markers associated with salt tolerance in grain sorghum. Arab J. Biotechnol. 2007, 10, 249–258. [Google Scholar]
  64. Abdi, A.A.; Sofalian, O.; Asghari, A.; Shokrpour, M.; Baqheri, H.; Masoumi, S.Y. Inter-simple sequence repeat (ISSR) markers to study genetic diversity among cotton cultivars in associated with salt tolerance. Not. Sci. Biol. 2012, 4, 120–126. [Google Scholar] [CrossRef]
  65. Lakshmanan, V.; Reddampalli Venkataramareddy, S.; Neelwarne, B. Molecular analysis of genetic stability in long-term micropropagated shoots of banana using rapd and issr markers. Electron. J. Biotechnol. 2007, 10, 106–113. [Google Scholar] [CrossRef]
  66. Shalaby, T.A.; El-Banna, A. Molecular and horticultural characteristics of in vitro induced tomato mutants. J. Agric. Sci. 2013, 5, 155. [Google Scholar] [CrossRef]
  67. Farokhzadeh, S.; Fakheri, B. Marker-assisted selection for disease resistance: Applications in breeding. Int. J. Agric. Crop Sci. 2014, 7, 1392–1405. [Google Scholar] [CrossRef]
  68. Krupa-Małkiewicz, M.; Bienias, A. BSA and molecular markers screening for salt stress tolerant mutant of petunia obtained in in vitro culture. Ciênc. Rural 2018, 48. [Google Scholar] [CrossRef]
  69. Mahgoub, H.A.; Sofy, A.R.; Abdel-Azeem, E.A.; Abo-Zahra, M.S. Molecular markers associated with salt-tolerance of different soybean (Glycine max L.) cultivars under salt stress. Int. J. Adv. Res. Biol. Sci 2016, 3, 241–267. [Google Scholar]
  70. Reddy, C.S.; Babu, A.P.; Swamy, B.M.; Kaladhar, K.; Sarla, N. ISSR markers based on ga and ag repeats reveal genetic relationship among rice varieties tolerant to drought, flood, or salinity. J. Zhejiang Univ. Sci. B 2009, 10, 133–141. [Google Scholar] [CrossRef]
  71. Kordrostami, M.; Rahimi, M. Molecular markers in plants: Concepts and applications. Genet. 3rd Millenn. 2015, 13, 4024–4031. [Google Scholar]
  72. Bhutta, W.M.; Hanif, M. Identification of rapd markers linked to salinity tolerance in wheat. Afr. J. Biotechnol. 2013, 12. [Google Scholar] [CrossRef]
  73. Masojć, P.; Lebiecka, K.; Milczarski, P.; Wiśniewska, M.; Łań, A.; Owsianicki, R. Three classes of loci controlling preharvest sprouting in rye (Secale cereale L.) discerned by means of bidirectional selective genotyping (bsg). Euphytica 2009, 170, 123. [Google Scholar] [CrossRef]
  74. Sharma, K.; Agrawal, V.; Gupta, S.; Kumar, R.; Prasad, M. ISSR marker-assisted selection of male and female plants in a promising dioecious crop: Jojoba (Simmondsia chinensis). Plant Biotechnol. Rep. 2008, 2, 239–243. [Google Scholar] [CrossRef]
  75. El-Nahas, A.; El-Shazly, H.; Ahmed, S.M.; Omran, A. Molecular and biochemical markers in some lentil (Lens culinaris medik.) genotypes. Ann. Agric. Sci. 2011, 56, 105–112. [Google Scholar] [CrossRef]
  76. Maha, A.; Sanaa, I.; Mabrook, Y.; Amira, Y.; Gouda, M. Evaluation of some egyptian bread wheat (Triticum aestivum) cultivars under salinity stress. Alex. Sci. Exch. J. 2017, 38, 260. [Google Scholar] [CrossRef]
  77. Lichtenthaler, H.; Wellburn, A.R. Determinations of Total Carotenoids and Chlorophylls A and B of Leaf Extracts in Different Solvents; Portland Press Limited: London, UK, 1983. [Google Scholar]
  78. Bates, L.; Waldren, R.; Teare, I. Rapid determination of free proline for water-stress studies. Plant Soil 1973, 39, 205–207. [Google Scholar] [CrossRef]
  79. Abdel Latef, A.; Tran, L.S.P. Impacts of priming with silicon on the growth and tolerance of maize plants to alkaline stress. Front. Plant Sci. 2016, 7, 243. [Google Scholar] [CrossRef]
  80. Williams, V.; Twine, S. Flame Photometric Method for Sodium, Potassium and Calcium; Springer International Publishing: Cham, Switzerland, 1960; Volume 5, pp. 3–5. [Google Scholar]
  81. Ahmad, P.; Abdel Latef, A.; Abd Allah, E.; Hashem, A.; Sarwat, M.; Anjum, N.; Gucel, S. Calcium and potassium supplementation enhanced growth, osmolyte secondary metabolite production, and enzymatic antioxidant machinery in cadmium-exposed chickpea (Cicer arietinum L.). Front. Plant Sci. 2016, 7, 513. [Google Scholar] [CrossRef]
  82. Chen, G.X.; Asada, K. Inactivation of ascorbate peroxidase by thiols requires hydrogen peroxide. Plant Cell Physiol. 1992, 33, 117–123. [Google Scholar] [CrossRef]
  83. Maehly, A.; Chance, B. Methods of Biochemical Analysis; Wiley-Interscience: Hoboken, NJ, USA, 1954. [Google Scholar]
  84. Aebi, H. [13] Catalase in vitro. In Methods Enzymol; Elsevier: Amsterdam, The Netherlands, 1984; Volume 105, pp. 121–126. [Google Scholar]
  85. Adhikari, S.; Saha, S.; Bandyopadhyay, T.K.; Ghosh, P. Efficiency of issr marker for characterization of Cymbopogon germplasms and their suitability in molecular barcoding. Plant Syst. Evol. 2015, 301, 439–450. [Google Scholar] [CrossRef]
  86. Wicklin, R. SAS/IML Software: Usage and Reference; SAS Institute inc.: Cary, NC, USA, 2010. [Google Scholar]
  87. Green, S.; Salkind, N. Using SPSS for Windows and Macintosh, Books a La Carte; Pearson: London, UK, 2016. [Google Scholar]
  88. Hammer, Ø.; Harper, D.A.; Ryan, P.D. Past: Paleontological statistics software package for education and data analysis. Palaeontol. Electron. 2001, 4, 1–9. [Google Scholar]
  89. StatGraphics, C. Statgraphics centurion xvii. In User Manual; Statgraphics Technologies, Inc.: The Plains, VA, USA, 2014; Volume 17. [Google Scholar]
Figure 1. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) dry weight (DW), (B) root length and (C) shoot length of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Figure 1. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) dry weight (DW), (B) root length and (C) shoot length of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Plants 08 00303 g001
Figure 2. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) chlorophyll (Chl) a, (B) chlorophyll b and (C) carotenoids of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Figure 2. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) chlorophyll (Chl) a, (B) chlorophyll b and (C) carotenoids of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Plants 08 00303 g002
Figure 3. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) malondialdehyde (MDA) content, (B) catalase (CAT) activity, (C) peroxidase (POD) activity and (D) ascorbate peroxidase (APX) activity of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Figure 3. Evaluating the effects of different treatments including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%) on (A) malondialdehyde (MDA) content, (B) catalase (CAT) activity, (C) peroxidase (POD) activity and (D) ascorbate peroxidase (APX) activity of two different wheat cultivars, Gemmiza 11 and Misr 1. Bars represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the bars indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05).
Plants 08 00303 g003
Figure 4. Hierarchical clustering to understand treatment-variable relationships of two wheat cultivars, Gemmiza 11 and Misr 1, under different treatment combinations including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%). Abbreviations are as follows: DW = dry weight, RL = root length, SL = shoot length, Chl a = chlorophyll a, Chl b = chlorophyll b, Carot = carotenoids, MDA = malondialdehyde, CAT = catalase, POD = peroxidase, APX = ascorbate peroxidase.
Figure 4. Hierarchical clustering to understand treatment-variable relationships of two wheat cultivars, Gemmiza 11 and Misr 1, under different treatment combinations including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%). Abbreviations are as follows: DW = dry weight, RL = root length, SL = shoot length, Chl a = chlorophyll a, Chl b = chlorophyll b, Carot = carotenoids, MDA = malondialdehyde, CAT = catalase, POD = peroxidase, APX = ascorbate peroxidase.
Plants 08 00303 g004
Figure 5. Principle component analysis (PCA) to understand treatment–variable relationships of two wheat cultivars, Gemmiza 11 and Misr 1, under different treatment combinations including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%). Abbreviations are as follows: DW = dry weight, RL = root length, SL = shoot length, Chl a = chlorophyll a, Chl b = chlorophyll b, Carot = carotenoids, MDA = malondialdehyde, CAT = catalase, POD = peroxidase, APX = ascorbate peroxidase.
Figure 5. Principle component analysis (PCA) to understand treatment–variable relationships of two wheat cultivars, Gemmiza 11 and Misr 1, under different treatment combinations including distilled water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%). Abbreviations are as follows: DW = dry weight, RL = root length, SL = shoot length, Chl a = chlorophyll a, Chl b = chlorophyll b, Carot = carotenoids, MDA = malondialdehyde, CAT = catalase, POD = peroxidase, APX = ascorbate peroxidase.
Plants 08 00303 g005
Figure 6. Fingerprint of the studied treatments using inter-simple sequence repeat (ISSR) markers. (A) ISSR-1; (B) ISSR-2; (C) ISSR-3; (D) ISSR-4; (E) ISSR-5; (F) ISSR-6; L—ladder; 1—W + W (0%)—Gemmiza 11; 2—H2O2 + W (0%)—Gemmiza 11; 3—W + SW (35%)—Gemmiza 11; 4—H2O2 + SW (35%)—Gemmiza 11; 5—W + W (0%)—Misr 1; 6—H2O2 + W (0%)—Misr 1; 7—W + SW (35%)—Misr 1; 8—H2O2 + SW (35%)—Misr 1.
Figure 6. Fingerprint of the studied treatments using inter-simple sequence repeat (ISSR) markers. (A) ISSR-1; (B) ISSR-2; (C) ISSR-3; (D) ISSR-4; (E) ISSR-5; (F) ISSR-6; L—ladder; 1—W + W (0%)—Gemmiza 11; 2—H2O2 + W (0%)—Gemmiza 11; 3—W + SW (35%)—Gemmiza 11; 4—H2O2 + SW (35%)—Gemmiza 11; 5—W + W (0%)—Misr 1; 6—H2O2 + W (0%)—Misr 1; 7—W + SW (35%)—Misr 1; 8—H2O2 + SW (35%)—Misr 1.
Plants 08 00303 g006
Table 1. Mean comparison of the proline (mg g−1 FW) and nutrients (mg g−1 DW) under different treatments.
Table 1. Mean comparison of the proline (mg g−1 FW) and nutrients (mg g−1 DW) under different treatments.
TreatmentsProline Na+ K+ Ca2+ Mg2+
W + W (0%) (Gemmiza 11)0.50 d ± 0.052.92 d ± 0.448.50 d ± 1.510.93 d,e ± 0.050.23 e,f ± 0.03
H2O2 + W (0%) (Gemmiza 11)0.17 f ± 0.022.23 d ± 0.1117.73 a ± 2.261.16 c,d ± 0.060.36 d ± 0.02
W + SW (35%) (Gemmiza 11)1.80 a ± 0.0336.64 a ± 3.307.40 d ± 1.050.53 f ± 0.020.17 f ± 0.02
H2O2 + SW (35%) (Gemmiza 11)1.25 c ± 0.0524.78 b ± 4.6014.00 b,c ± 4.290.78 e,f ± 0.050.30 d,e ± 0.05
W + W (0%) (Misr 1)0.17 f ± 0.042.63 d ± 0.0812.37 c ± 0.871.06 d ± 0.030.71 c ± 0.06
H2O2 + W (0%) (Misr 1)0.38 e ± 0.072.31 d ± 0.0917.00 a,b ± 1.511.41 c ± 0.031.24 b ± 0.05
W + SW (35%) (Misr 1)1.59 b ± 0.0720.89 c ± 2.0513.63 b,c ± 0.252.89 b ± 0.401.28 b ± 0.03
H2O2 + SW (35%) (Misr 1)1.76 a ± 0.0317.48 c ± 0.8915.20 a–c ± 0.964.53 a ± 0.161.45 a ± 0.10
Water-eustress + distilled water = W + W (0%), H2O2-eustress + distilled water (%) = H2O2 + W (0%), distilled water-eustress + 35% seawater = W + SW (35%) and H2O2-eustress + 35% seawater = H2O2 + SW (35%). The data represent means of three (n = 3) replicates with standard errors (SEs) and different letters on the data indicate statistically significant difference following Duncan’s multiple range test at the level of significance (p < 0.05). DW: dry weight.
Table 2. Representation and sequence of inter-simple sequence repeat (ISSR) primers.
Table 2. Representation and sequence of inter-simple sequence repeat (ISSR) primers.
Primer Name SequenceMotifOBPBP%
ISSR-15’-AGAGAGAGAGAGAGAGC-3’(AG)8C181372.22
ISSR-25’-ACACACACACACACACT-3’(AC)8T11654.54
ISSR-35’-ACACACACACACACACG-3’(AC)8G252392
ISSR-45’-CGCGATAGATAGATAGAT-3’CGC(GATA)4171482.35
ISSR-55’-GACGATAGATAGATAGATA-3’GAC(GATA)4191684.21
ISSR-65’-GACAGACAGACAGACAAT-3’(GACA)4AT11981.81
OB: number of observed bands; PB: number of polymorphic bands; P%: polymorphism percentage.

Share and Cite

MDPI and ACS Style

Abdel Latef, A.A.H.; Kordrostami, M.; Zakir, A.; Zaki, H.; Saleh, O.M. Eustress with H2O2 Facilitates Plant Growth by Improving Tolerance to Salt Stress in Two Wheat Cultivars. Plants 2019, 8, 303. https://0-doi-org.brum.beds.ac.uk/10.3390/plants8090303

AMA Style

Abdel Latef AAH, Kordrostami M, Zakir A, Zaki H, Saleh OM. Eustress with H2O2 Facilitates Plant Growth by Improving Tolerance to Salt Stress in Two Wheat Cultivars. Plants. 2019; 8(9):303. https://0-doi-org.brum.beds.ac.uk/10.3390/plants8090303

Chicago/Turabian Style

Abdel Latef, Arafat Abdel Hamed, Mojtaba Kordrostami, Ali Zakir, Hoida Zaki, and Osama Moseilhy Saleh. 2019. "Eustress with H2O2 Facilitates Plant Growth by Improving Tolerance to Salt Stress in Two Wheat Cultivars" Plants 8, no. 9: 303. https://0-doi-org.brum.beds.ac.uk/10.3390/plants8090303

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

Article Metrics

Back to TopTop