Skip to main content
Plants logoLink to Plants
. 2026 Jan 31;15(3):443. doi: 10.3390/plants15030443

Suaeda salsa SsDHN Gene Enhances Drought Tolerance in Tobacco (Nicotiana tabacum)

Hui Ma 1,2, Zhixin Song 1, Jiahui Wu 1, Yuou Song 1, Jingyi Zhang 1, Ming Zhong 1, Jingwei Lin 1, Shuisen Chen 1, Hui Li 1,*
Editor: Cataldo Pulvento
PMCID: PMC12899145  PMID: 41681607

Abstract

Drought stress critically constrains plant development and morphogenesis, representing a substantial challenge to crop production systems. Dehydrins (DHNs), belonging to the late embryogenesis abundant (LEA) protein superfamily, play crucial roles in plant adaptation to environmental stress conditions. Nevertheless, the capacity of Suaeda salsa SsDHN protein to confer drought resistance has not been adequately investigated. In the present study, transgenic tobacco lines with constitutive SsDHN expression (SsDHN-OE) were employed to examine its influence on seedling development under water-limited conditions. Results indicated that constitutive SsDHN expression enhanced biomass accumulation, foliar expansion, root elongation, and root surface dimensions in water-stressed seedlings. Moreover, transformed lines demonstrated elevated proline (Pro) accumulation and abscisic acid (ABA) content, augmented antioxidant enzyme activity, and intensified stomatal regulation under stress conditions. Conversely, photoinhibition intensity, chloroplast structural degradation, malondialdehyde (MDA) accumulation, electrolyte leakage, hydrogen peroxide (H2O2), and superoxide radical (O2) concentrations were diminished. Furthermore, transcript abundance of stress-responsive genes—encompassing NtNCED3, NtSnRK2.2, NtRD26, NtLEA5, NtPOD, NtSOD, NtCAT, and NtAPX1—was markedly increased in SsDHN-OE lines experiencing drought stress. Taken together, these findings establish that SsDHN functions as a positive regulator of drought resilience in plants.

Keywords: SsDHN, drought stress, ROS-scavenging capability, photosynthesis

1. Introduction

Environmental stress factors can impede plant development, morphogenesis and productivity, potentially causing mortality under extreme circumstances [1]. Within the spectrum of environmental stressors, water scarcity or dehydration stress constitutes one of the most critical challenges to global agricultural sustainability [2]. Drought stress independently has resulted in agricultural production losses of approximately $30 billion worldwide throughout the preceding ten years [3]. Drought impairs multiple facets of plant physiology by disrupting essential cellular processes [4]. One of the most significant negative impacts of drought stress on plants is the induction of massive production of reactive oxygen species (ROS), which disrupts cellular redox homeostasis [5]. Chloroplasts are one of the primary sources of ROS under drought stress, where excess excitation energy leads to over-reduction of the electron transport chain and generates reactive oxygen species [6]. Concurrently, drought severely inhibits photosynthesis. Initially, this occurs mainly through the induction of stomatal closure, which limits CO2 supply. As the stress intensifies, non-stomatal limitations become the dominant factor [7]. These limitations include photoinhibition and reduced efficiency of Photosystem II (PSII) [8], as well as impairments in overall electron transport and carbon metabolism [9]. The burst of ROS and the damage to the photosynthetic apparatus often form a vicious cycle: photosynthetic damage leads to increased ROS production, while ROS further exacerbates oxidative damage to the photosynthetic machinery [10]. Consequently, developing robust approaches to strengthen crop drought resilience for achieving optimal water utilization and maximum productivity represents a pressing necessity. Hence, characterization of genes linked to environmental stress tolerance constitutes a critical priority in elucidating molecular pathways underlying plant stress adaptation.

For persistence under adverse environmental conditions, plants have developed specialized adaptive systems to minimize cellular water depletion, referred to as dehydration avoidance. Late embryogenesis abundant (LEA) proteins represent a key mechanism mediating water stress resistance. LEA proteins comprise an extensive superfamily of water-soluble proteins, initially discovered during terminal seed development phases and subsequently demonstrated to exhibit widespread distribution throughout numerous plant taxa and tissue types. These proteins execute essential functions in plant ontogeny and adaptation to environmental stress [11,12]. LEA proteins are categorized into different subfamilies according to their conserved motifs and structural properties [13]. Among them, dehydrins (DHNs) are members of group II of the LEA proteins and fulfill essential functions in augmenting plant stress resilience [14]. For example, overexpression of ZmDHN3 improved the resistance to drought stress in maize [15]. Constitutive expression of Prunus mume dehydrin genes (PmLEA10, PmLEA19, PmLEA20 and PmLEA29) enhanced chilling resistance in tobacco [16], and heterologous introduction of CsLEA1 elevated freezing tolerance in Escherichia coli and yeast [17]. Additional cases encompass the cold-inducible wheat dehydrin wzy1-2 [18] and SiLEA4, which provides low-temperature protection in microorganisms and plants [19]. In maize, DHNs are critical for defense mechanisms against diverse abiotic stressors: ZmDHN13 augments copper resistance in yeast and tobacco through metal chelation and ROS reduction [20]; ZmDHN2b constitutive expression elevates chilling stress resilience [21]; and ZmDHN11 strengthens osmotic stress resistance [22]. Correspondingly, wheat DHN-5 amplifies salinity and osmotic stress tolerance in Arabidopsis [23,24], whereas banana HbDHN1 and HbDHN2 strengthen drought and osmotic stress resilience [25]. Furthermore, sorghum SbDHN1 confers protection under elevated-temperature and osmotic stress conditions [26], and pepper CaDHN3 enhances salinity and drought tolerance through ROS signaling pathways [27]. Overexpression of PtrDHN-3 enhances salt tolerance in Arabidopsis by elevating antioxidant enzyme activity [28], and soybean GmDHN9 increases drought tolerance [29].

Suaeda salsa (L.) Pall. is an annual herb of the Chenopodiaceae family that mainly grows in coastal wetlands, deserts, and other saline environments [30,31]. The salt-tolerant species Suaeda salsa, commonly used as a bioindicator of saline soils, serves as a model for studying plant adaptation to salt and drought. DHNs are known to contribute significantly to plant stress resistance. However, the specific function of the S. salsa dehydrin, SsDHN, under drought conditions remains unclear. Building on our previous work demonstrating its role in salt tolerance in tobacco [32,33], we hypothesized that SsDHN might also enhance drought resistance. To test this, we generated and analyzed transgenic tobacco plants overexpressing the SsDHN gene, assessing their response to drought stress. This study elucidates the function of SsDHN under drought stress and provides a foundation for further research into DHN-mediated abiotic stress tolerance.

2. Results

2.1. Overexpression of SsDHN Enhanced Drought Tolerance in Tobacco

Under well-watered conditions, no significant differences in biomass, leaf area, root length, or root surface area were observed between wild-type (WT) and SsDHN-overexpressing plants. Drought stress markedly inhibited overall seedling growth and leaf development (Figure 1A), yet the transgenic lines exhibited significantly greater values for all measured growth parameters compared to the WT (Figure 1B–F). Stomatal density remained unchanged across genotypes under both control and drought conditions (Figure 2A,B). However, under drought stress, the stomatal apertures were considerably narrower in SsDHN-overexpressing plants than in the WT (Figure 2C,D). Correspondingly, transgenic leaves displayed a slower rate of water loss (Figure 2E). Furthermore, the SsDHN overexpression plants accumulated substantially more abscisic acid (ABA) than the WT plants under drought stress (Figure S1). These results indicate that SsDHN overexpression enhances drought tolerance, at least in part, by reducing water transpiration through stomatal regulation.

Figure 1.

Figure 1

SsDHN overexpression enhanced drought tolerance in tobacco plants, as evidenced by (A) phenotypic differences between WT and transgenic lines after 15 d of drought. Associated growth parameters were quantified, including (B) biomass, (C) leaf area, and-based on the root phenotype shown in (D,E) root length and (F) root surface area. Data represent mean ± SD [n = 3 biological replicates (with at least 10 plants per replicate)]. * p < 0.05, *** p < 0.001, **** p < 0.0001 (Student’s t-test).

Figure 2.

Figure 2

Constitutive SsDHN expression altered stomatal properties in tobacco leaves under drought stress. Analysis of stomatal density (A) and stomatal aperture (B) via scanning electron microscopy in WT and SsDHN constitutive expression seedlings. Scale bar = 20 μm. Measurements of stomatal density (C), stomatal aperture (D) and leaf water loss (E) in WT and SsDHN constitutive expression seedlings. Data presented as mean ± SD [n = 3 biological replicates (with at least 10 plants per replicate)]. * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t-test).

2.2. Overexpression of SsDHN Reduces Electrolytic Leakage and Lipid Peroxidation Under Drought Stress

Under irrigated conditions, no significant differences were observed between WT and SsDHN-overexpressing plants in relative conductivity, malondialdehyde (MDA) content, or proline (Pro) levels. Following drought stress, relative conductivity and MDA content increased in both genotypes. However, compared to the WT, the three transgenic lines (SsDHN-OE17, -OE18, -OE72) showed significantly lower relative conductivity, whereas Pro accumulation was notably elevated in SsDHN constitutive expression plants relative to WT (Figure 3). Consequently, constitutive expression of the SsDHN gene under drought conditions markedly reduced MDA accumulation and electrolyte conductivity while augmenting Pro concentration.

Figure 3.

Figure 3

SsDHN gene reduces MDA content and relative conductivity and increases proline content after drought treatment. (A) The relative conductivity was analyzed after drought treatment. (B) The content of MDA was analyzed after drought treatment. (C) The content of proline was analyzed after drought treatment. Data represent mean ± SD [n = 3 biological replicates (with at least 10 plants per replicate)]. * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t-test).

2.3. Overexpression of SsDHN Reduced Reactive Oxygen Species (ROS) Accumulation in Leaves Under Drought Stress

Under drought stress, histochemical staining with nitro blue tetrazolium (NBT) and 3,3′-diaminobenzidine (DAB) revealed deeper staining in WT leaves compared to SsDHN-overexpressing plants, indicating greater accumulation of superoxide radical (O2) and hydrogen peroxide (H2O2), in the WT (Figure 4A,B). Quantitative assays confirmed that the contents of both O2 and H2O2 were significantly lower in transgenic plants under drought, while no differences were observed under control conditions (Figure 4C,D). Similarly, antioxidant enzyme activities of superoxide dismutase (SOD), ascorbate peroxidase (APX), peroxidase (POD), and catalase (CAT) did not differ between genotypes under normal conditions but were markedly higher in SsDHN-overexpressing plants during drought stress. Furthermore, transgenic plants exhibited increased levels of reduced glutathione (GSH) and ascorbic acid (AsA), a higher GSH/GSSG ratio, and a lower oxidized glutathione (GSSG) content compared to the WT under drought (Figure 4E–L). These results demonstrate that SsDHN overexpression enhances the antioxidant capacity in tobacco by boosting both enzymatic and non-enzymatic systems, thereby improving ROS scavenging and alleviating membrane damage under drought stress.

Figure 4.

Figure 4

Constitutive SsDHN expression reduced ROS buildup and enhanced the ROS-detoxification capacity in transgenic tobacco under drought stress. H2O2 (A) and O2 (B) were visualized in situ through DAB and NBT histochemical staining, respectively. Associated quantitative determinations include H2O2 levels (C), O2 levels (D), and the catalytic activities of principal antioxidant enzymes: SOD (E), POD (F), CAT (G), and APX (H). Furthermore, redox metabolite concentrations were evaluated: GSH (I), GSSG (J), the GSH/GSSG ratio (K), and AsA concentration (L). Values represent mean ± SD [n = 3 biological replicates (with at least 10 plants per replicate)]. * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t-test).

2.4. Constitutive SsDHN Expression Augmented Photosynthetic Pigment Accumulation and Photosynthetic Efficiency Under Drought Stress

During water deficit exposure, chlorophyll a, chlorophyll b, and aggregate chlorophyll concentrations declined in tobacco seedlings. Nevertheless, transformed lines retained substantially elevated concentrations of these pigments in comparison to WT genotypes (Figure 5A–C). The net CO2 assimilation (Pn), transpirational water loss (Tr), and stomatal conductance (Gs) in SsDHN constitutive expression plants were substantially reduced compared to those in WT genotypes, whereas internal CO2 levels (Ci) in SsDHN constitutive expression plants were markedly elevated relative to those in WT genotypes (Figure 5D–G). The maximal photochemical quantum yield of PSII (Fv/Fm) demonstrated equivalence between WT and transformed lines under control regimes. Nevertheless, subsequent to drought imposition, a pronounced elevation in Fv/Fm was detected in transgenic tobacco genotypes compared to the WT (Figure 5H). Correspondingly, the chlorophyll fluorescence indices qN, NPQ, qP, and qL exhibited no substantial differential under standard conditions but were conspicuously amplified in transgenic genotypes compared to the WT under drought stress (Figure 5I–L). These observations indicate that SsDHN expression facilitates preservation of elevated photosynthetic electron transport efficiency under water-limited conditions.

Figure 5.

Figure 5

Constitutive SsDHN expression regulates photosynthetic pigment levels and key photosynthetic parameters in tobacco foliage experiencing 15-day drought stress. The measured metrics include (A) chlorophyll a, (B) chlorophyll b, and (C) total chlorophyll levels, (D) transpiration rate, (E) net photosynthetic rate, (F) stomatal conductance, and (G) intercellular CO2 concentration, (H) Fv/Fm, (I) qP, (J) qL, (K) NPQ, and (L) qN in both WT and SsDHN-OE seedlings. Data presented as mean ± SD [n = 3 biological replicates (with at least 10 plants per replicate)]. * p < 0.05, ** p < 0.01 (Student’s t-test).

2.5. Effects of SsDHN on Chloroplast Ultrastructure in Tobacco Leaves Under Drought Stress

Under standard conditions, chloroplasts in both WT and transformed lines were positioned adjacent to the plasma membrane, displaying a fusiform morphology with clearly demarcated inner and outer envelope membranes. Thylakoid stacking was systematically arranged, and the stromal lamellae demonstrated compact organization. Plentiful starch deposits, representing vigorous photosynthetic activity, additionally validated normal chloroplast functionality. Subsequent to drought stress imposition, chloroplasts in WT genotypes adopted spherical and distended configurations, forfeiting their membrane-proximal positioning. The majority of chloroplasts displayed degradation of plastid envelope membranes, increased vacuolar formation emerged in the internal disrupted regions of chloroplasts, stromal lamellae underwent fragmentation and disorganization, granal lamellae suffered complete structural collapse and disorder, starch grain biosynthesis ceased, and osmiophilic globule abundance intensified. Following drought stress exposure, the chloroplasts of transgenic tobacco transitioned from spindle-shaped to elongated morphology and remained positioned along the plasma membrane, though the chloroplasts no longer maintained a dense arrangement, and occasional chloroplasts adopted spherical and distended forms. The stromal lamella and grana lamella were not broken, but the boundaries were blurred. The structure of the grana lamella becomes loose, smaller vacuoles appear in the chloroplast, and a small part of the chloroplast membrane dissolves. Drought stress resulted in varying degrees of damage to the chloroplast ultrastructure of tobacco plants. WT tobacco exhibited more severe disruption of chloroplast membranes and internal lamellae, while transgenic lines maintained greater structural integrity in both the lamellar and membrane systems (Figure 6). These findings indicate that SsDHN exerts a protective effect on the chloroplast ultrastructure under drought stress.

Figure 6.

Figure 6

Influence of SsDHN on chloroplast ultrastructural organization in tobacco seedlings exposed to 15 days of drought stress. Scale bars correspond to 10, 2, and 1 µm. Abbreviations: CHl, chloroplasts; CM, chloroplast membrane; SG, starch grains; GL, grana lamellae; SL, stroma lamellae.

2.6. Overexpression of SsDHN Increased the Expression of Stress-Related Genes Under Drought Stress

To elucidate the underlying molecular mechanisms contributing to the enhanced tolerance to drought stress in SsDHN constitutive expression plants, we examined the transcript abundances of stress-responsive genes, encompassing NtNCED3, NtSnRK2.2, NtRD26, NtLEA5, NtPOD, NtSOD, NtCAT and NtAPX1. Under control regimes, there was no substantial differential in the stress-responsive genes NtNCED3, NtSnRK2.2, NtRD26, NtLEA5, NtPOD, NtSOD, NtCAT and NtAPX1 between WT and SsDHN constitutive expression plants. Nevertheless, the transcript levels of NtNCED3, NtSnRK2.2, NtRD26, NtLEA5, NtPOD, NtSOD, NtCAT and NtAPX1 were markedly elevated under drought stress. In comparison to the WT genotypes, the SsDHN constitutive expression plants demonstrated elevated transcript abundances of NtNCED3, NtSnRK2.2, NtRD26, NtLEA5, NtPOD, NtSOD, NtCAT and NtAPX1 under drought treatment (Figure 7). These observations indicate that constitutive expression of the SsDHN gene could facilitate the transcript induction of stress-responsive genes under drought stress.

Figure 7.

Figure 7

Constitutive expression of the SsDHN gene up-regulated the transcript abundance of stress-responsive genes in transgenic tobacco under drought stress, encompassing (A) NtNCED3, (B) NtSnRK2.2, (C) NtRD26, (D) NtLEA5, (E) NtPOD, (F) NtSOD, (G) NtCAT, and (H) NtAPX1. Data are expressed as mean ± SD from three independent experiments. * p < 0.05, ** p < 0.01, *** p < 0.001 (Student’s t-test).

3. Discussion

LEA proteins constitute a ubiquitous class of proteins in plants and fulfill a critical function in adversity resistance [12]. DHN is a thermostable protein belonging to a subfamily of the LEA protein family, characterized by high hydrophilicity and stress responsiveness [34]. It has been documented that the transcript induction of the DHN gene fulfills an essential function in plant adaptation to abiotic stresses, including drought, salinity and low temperature [35,36]. DHN genes are promising for use in genetic engineering to enhance plant stress tolerance. Studying the molecular mechanisms of increased stress tolerance in these transgenic plants is of great interest. Nevertheless, the function of the Suaeda salsa SsDHN gene in mediating the drought response remains inadequately characterized. To examine the functionality of SsDHN, we generated transgenic tobacco with constitutive SsDHN expression. Drought stress resulted in elevated biomass, expanded leaf area, extended root length and increased root surface area in SsDHN constitutive expression plants in comparison to WT genotypes (Figure 1). Stomata fulfill a pivotal function in plant perception of environmental fluctuations, encompassing drought and salinity stress [37]. Modulating stomatal pore dimensions to minimize water depletion through transpiration constitutes a critical determinant of drought resistance [38]. In this investigation, we found that the SsDHN constitutive expression plants had much narrower stomatal apertures than the WT plants under drought stress. Furthermore, the SsDHN constitutive expression plants demonstrated a decelerated water loss rate compared to the WT under drought stress (Figure 2), which was concordant with stomatal closure behavior. Drought stress inflicts damage to plants predominantly through osmotic stress and oxidative stress. Consequently, MDA concentration and electrolyte conductivity are frequently employed to reflect membrane integrity. Plants generate osmotic adjustment factors such as Pro to alleviate the osmotic stress [39,40]. Under drought stress, SsDHN constitutive expression diminished relative electrolyte efflux and MDA concentration while augmenting Pro concentrations (Figure 3). These observations suggest that SsDHN enhances drought tolerance in tobacco, presumably by facilitating proline accumulation to ameliorate membrane damage under stress conditions.

Drought stress leads to the overproduction of ROS, which in turn imposes oxidative damage on intracellular components [41]. ROS are intermediates produced during O2 reduction and predominantly include O2 and H2O2 [42]. DAB and NBT staining are validated methods for detecting H2O2 and O2, respectively [43]. Concordant with the observed reductions in MDA concentration and electrolyte leakage (Figure 3), SsDHN constitutive expression under drought stress resulted in diminished accumulation of both H2O2 and O2 (Figure 4A–D). Plants deploy enzymatic and non-enzymatic antioxidant systems to eliminate ROS and ameliorate oxidative damage [44]. Analogous functions have been documented for other dehydrins; for instance, CaDHN3 enhances salt and drought tolerance in Arabidopsis by restricting ROS accumulation [27], and ZmDHN15 improves cold stress tolerance [45]. In this investigation, transgenic plants demonstrated substantially elevated activities of key antioxidant enzymes and augmented concentrations of non-enzymatic antioxidants under drought regimes (Figure 4E–L), which correlated with diminished ROS. These outcomes indicate that SsDHN improves drought tolerance in tobacco by augmenting the ROS-scavenging capacity, thereby reducing oxidative stress.

Drought stress can inflict severe photosystem inhibition, culminating in photodamage and degradation of chloroplasts. It has been demonstrated that the knockdown of the StTST3.1 gene results in diminished chlorophyll concentration and compromised photosynthesis, which affects the development of potato plants [46]. In this investigation, constitutive expression of SsDHN in tobacco augmented chlorophyll concentration and photosynthetic capacity under drought stress (Figure 5). Transmission electron microscopy disclosed that drought stress severely compromised chloroplast morphology and ultrastructure; nevertheless, this damage was considerably ameliorated in SsDHN transgenic plants (Figure 6). Such structural deterioration may be associated with ROS-induced lipid peroxidation [47]. These observations suggest that SsDHN presumably enhances drought tolerance in tobacco by protecting the photosynthetic apparatus. However, whether SsDHN directly stabilizes thylakoid membrane proteins or indirectly protects the photosynthetic system by reducing ROS remains to be further studied.

It is postulated that the enhanced abiotic stress tolerance is predominantly attributed to the substantially elevated transcript abundance of abiotic stress response genes (CaCAT2, CaSOD, CaAPX1 and CaPOD) under salt and drought stress [27]. In this investigation, SsDHN constitutive expression under drought stress markedly up-regulated the transcript levels of genes participating in ABA biosynthesis (NtNCED3), ABA signaling (NtSnRK2.2), stress response (NtRD26, NtLEA5), and antioxidant defense (NtPOD, NtSOD, NtCAT, NtAPX1) (Figure 7). Consistent with its role in stress signaling, overexpression of SsDHN led to a significant increase in ABA accumulation under drought stress compared to WT plants (Figure S1), which likely contributed to their improved drought resistance. These outcomes suggest that SsDHN enhances drought tolerance, potentially by modulating these key stress-responsive genes. Considering the central functions of NCED in ABA synthesis [48,49] and SnRK2 in ABA perception [50], our observations indicate that SsDHN may function through an ABA-dependent signaling pathway to positively regulate the plant’s drought response. Additional experimentation is required to comprehensively validate this mechanism.

4. Conclusions

In summary, we have identified SsDHN as a novel dehydrin gene that confers dual advantages: enhanced oxidative stress tolerance and maintained photosynthetic integrity (Figure 8). These findings position SsDHN as a prime candidate for molecular breeding, offering a valuable genetic resource for developing crops with comprehensive drought resistance.

Figure 8.

Figure 8

Schematic diagram of the mechanism of SsDHN regulating drought tolerance in tobacco.

5. Materials and Methods

5.1. Plant Materials and Growth Conditions

The wild-type (WT) genotypes utilized in this investigation were Nicotiana tabacum L. cv. NC89. The production of transgenic tobacco lines with constitutive SsDHN expression was executed as previously documented [32]. In brief, the CDS region of the SsDHN gene was inserted downstream of the CaMV 35S promoter element. For genetic transformation, a 700 bp sequence was inserted into the pBI121 vector, and the resultant construct was introduced into Agrobacterium tumefaciens GV3101 for transformation of WT tobacco foliar explants through the leaf disk methodology. Six independent T0 transgenic lines were generated, and three lines (17, 18, and 72), which exhibited the most pronounced SsDHN transcript abundance in the T3 generation, were chosen and designated as SsDHN-OE17, SsDHN-OE18, and SsDHN-OE72, respectively. Plants were grown in growth chambers under a 16 h day (at 27 °C), 8 h night (at 23 °C) cycle and 60–70% relative humidity.

5.2. Drought Treatment and Measurement of Phenotype-Related Parameters

Tobacco seeds were surface-disinfected and allowed to germinate on MS medium for a 10 d period before being relocated into pots containing a 1:1 mixture of vermiculite and nutrient-enriched soil. Homogeneous 7-week-old T3 seedlings from both WT and transgenic lines were selected for drought imposition. The drought-stressed group (≥15 plants) was subjected to complete water withdrawal, while the control group maintained consistent irrigation across the experimental timeframe. Upon completion of drought treatment, substrate particles were washed away from root surfaces, and root systems were harvested post-cleaning. Aboveground tissue dry weight was established after oven-drying specimens at 85 °C for a 72 h period. Leaf surface area was determined using three plants per treatment group (n = 3 biological replicates) through ImageJ version 1.54r software analysis. For root system analysis, roots from 10 individual plants per treatment were spread in a thin layer of water on a blue background and scanned using an EPSON scanner (Seiko Epson Corporation, Suwa, Japan). Images were analyzed for length and diameter using WinRHIZO (Regent Instruments Inc., Quebec, QC, Canada), with the background threshold manually optimized for each image.

5.3. Determination of Relative Conductivity, MDA, and Proline Content

MDA levels were established following a published methodology [51] with modifications. Briefly, samples were generated by grinding 0.2 g of fresh leaf tissue in 2 mL of 10% trichloroacetic acid (TCA). The extracted supernatant (2 mL) was mixed with an equal amount of 0.6% thiobarbituric acid (TBA). The mixture underwent heating in boiling water for 15 min, followed by immediate ice cooling. Spectrophotometric readings were taken at 450, 532, and 600 nm, and MDA concentration was calculated according to the standard formula.

Leaf ion leakage was established using a published methodology [52] with slight modifications. Briefly, six leaf disks were placed in 10 mL distilled water at 30 °C for a 2 h period, after which baseline conductivity (EC1) was determined. Samples then underwent boiling for 20 min, were cooled to room temperature, and final conductivity (EC2) was measured. Ion leakage (EL) was calculated using the formula EL = (EC1/EC2) × 100%. Three biological replicates were used per experimental run.

Proline levels were determined using a published methodology [53] with slight alterations. Leaf material (0.5 g) underwent extraction in 5 mL of 3% sulfosalicylic acid at 95 °C for 15 min. The resulting homogenate was centrifuged at 4000× g and 4 °C for 10 min. Following centrifugation, the supernatant (2 mL) was mixed with 2 mL of glacial acetic acid plus 2 mL of acid-ninhydrin reagent. This mixture was then subjected to heating in boiling water for 30 min. The mixture underwent extraction with 5 mL of toluene and vigorous mixing, and the toluene layer’s absorbance was determined at 532 nm using a toluene reference.

5.4. Assessment of Oxidative Stress and Antioxidant Enzyme Activity

Leaf tissues (0.5 g) from T3 transgenic and WT tobacco plants at 7 weeks of age were sampled after a 15 d water deprivation period. Histochemical detection was performed using DAB and NBT post-drought stress [54]. The O2 and H2O2 levels in leaf tissues were determined through Solarbio detection kits following manufacturer’s instructions (Solarbio, Beijing, China). Enzymatic activities of SOD, APX, POD, and CAT were determined through specialized assay kits (Solarbio, Beijing, China), following provided protocols. Similarly, the levels of GSH, GSSG, and AsA were established using appropriate kits (Grace, Suzhou, China). For individual transgenic lines, samples were obtained from no fewer than nine seedlings, with all determinations conducted in triplicate.

5.5. Scanning Electron Microscopy and Measurements of Stomatal Aperture

Fresh tobacco leaf material was initially fixed in electron microscopy fixative at room temperature for a 2 h duration, then stored at 4 °C. Post-fixation, samples underwent four washes with 0.1 M phosphate-buffered saline (PBS, pH 6.8; 10 min per wash) before dehydration using a graded ethanol sequence (20 min at each concentration). After additional washing with pure ethanol three times (30 min per wash), samples were transferred into tert-butanol (30 min per transfer). Samples were affixed to metal stubs via carbon tape and then gold-coated using sputter coating. Imaging and visualization were performed on a Hitachi S-3400N scanning electron microscope (Hitachi, Tokyo, Japan). Stomatal opening dimensions were analyzed using ImageJ software. For individual transgenic lines and wild-type controls, no fewer than 10 leaves were examined, with no fewer than 10 viewing fields and 50 stomatal pores analyzed per genotype.

5.6. Determination of Photosynthetic Pigment Content and Photosynthetic Parameters

Chlorophyll levels in fresh tobacco leaves were established using a previously published methodology [55]. Leaf samples underwent immersion in 80% acetone and were kept in complete darkness for 48 h. Spectrophotometric measurements were then performed at 663, 645, and 440 nm with 80% acetone serving as the reference blank. Gas exchange parameters—including Tr, Pn, Gs, and Ci—were measured using a Yaxin-1105 portable photosynthesis-fluorescence apparatus (Yaxin, Beijing, China). Measurements occurred on sunny days during the 9:00 to 11:00 a.m. window. For individual lines, three randomly chosen plants were employed, with leaves from similar positions chosen for measurement. Data recording occurred after value stabilization, with three replicate measurements per leaf; mean values represented individual biological replicates. Fluorescence parameters were measured via a Dual-PAM-100 fluorometer (Heinz Walz GmbH, Effeltrich, Germany). For individual treatments, the second-to-last fully expanded leaf was chosen from three randomly selected plants. After a 30 min dark adaptation period, leaves were positioned in the instrument’s measurement chamber for chlorophyll fluorescence assessment. Three measurements were taken per leaf and averaged as one biological replicate.

5.7. Observation of Chloroplast Structure Under Transmission Electron Microscope

For preliminary preservation, leaf segments were submerged in a preservative mixture consisting of 1% acetic acid combined with 2.5% glutaraldehyde. Following initial preservation, specimens were progressively dehydrated through an incremental ethanol gradient, encased in epoxy resin matrix, and sliced into ultrathin cross-sections using an ultramicrotome (Leica EM UC7, Vienna, Austria). Upon completion of staining protocols, chloroplast microstructural characteristics were visualized and documented through a Zeiss LSM510 transmission electron microscope (Carl Zeiss AG, Jena, Germany).

5.8. Quantitative RT-PCR Analysis

Total cellular RNA was isolated from specimens employing a Plant Total RNA Extraction Kit (TianGen, Beijing, China). In accordance with supplier recommendations, residual chromosomal DNA was eliminated through gDNA Eraser (Takara, Beijing, China) treatment. Complementary DNA synthesis was achieved using the PrimeScript™ RT Kit (TransGen, Beijing, China). Quantitative reverse transcription PCR was executed employing SYBR Premix Ex Taq™ (Takara, Beijing, China) on a Roche LightCycler® 480 II instrument (Roche Diagnostics, Mannheim, Germany), conforming to supplier protocols. NtActin was employed as the housekeeping reference gene. To enable gene expression comparisons, relative mRNA abundance of target sequences was computed through the 2−∆∆CT approach [56]. All amplification reactions were run with 3 independent biological replicates. Oligonucleotide primer sequences employed for qRT-PCR are cataloged in Supplementary Table S1.

5.9. Determination of ABA Content

Endogenous ABA levels in tobacco leaves were quantified using an enzyme-linked immunosorbent assay (ELISA) kit (Mlbio, Beijing, China). Briefly, leaf tissue (0.1 g fresh weight) was homogenized in 0.2 M phosphate buffer (pH 7.4). The homogenate was centrifuged, and the resulting supernatant was collected for analysis according to the manufacturer’s instructions. Three independent biological replicates were performed.

5.10. Statistical Analysis

All measurements are displayed as mean ± standard deviation (SD), calculated from a minimum of 3 independent biological replicates, with each replicate comprising three technical measurements. Statistical differences were evaluated using Student’s t-test (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants15030443/s1, Figure S1. ABA levels in SsDHN overexpression plants. Data represent the mean ± SD (n = 3, * p < 0.05 by Student’s t-test). Table S1. Primers used for qRT-PCR assay. Table S2. A list of abbreviations and their meanings.

plants-15-00443-s001.zip (169.5KB, zip)

Author Contributions

The study was conceived and designed by H.L. and H.M. Experimental work and data processing were carried out by Z.S. and J.W. Y.S. and J.Z. contributed to data analysis and were responsible for preparing the figures and tables. The initial draft of the manuscript was written by H.L. and M.Z., while J.L. and S.C. provided critical review and revisions. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

All experimental data supporting this study’s conclusions are available in the manuscript and Supplementary Materials or can be obtained from the corresponding author upon reasonable request.

Conflicts of Interest

The authors state that the study involved no commercial or financial relationships, which constitutes no conflict of interest.

Funding Statement

This research was financially supported by 2024 Liaoning Provincial Education Department Project (JYTYB2024014) and National Key Research and Development Program of China (2022YFF1301004).

Footnotes

Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

References

  • 1.Mittler R. Abiotic stress, the field environment and stress combination. Trends Plant Sci. 2006;11:15–19. doi: 10.1016/j.tplants.2005.11.002. [DOI] [PubMed] [Google Scholar]
  • 2.Abobatta W.F. Drought adaptive mechanisms of plants—A review. Adv. Agr. Environ. Sci. 2019;2:42–45. doi: 10.30881/aaeoa.00021. [DOI] [Google Scholar]
  • 3.Gupta A., Rico-Medina A., Caño-Delgado A.I. The physiology of plant responses to drought. Science. 2020;368:266–269. doi: 10.1126/science.aaz7614. [DOI] [PubMed] [Google Scholar]
  • 4.Zhang H., Zhu J., Gong Z., Zhu J.K. Abiotic stress responses in plants. Nat. Rev. Genet. 2022;23:104–119. doi: 10.1038/s41576-021-00413-0. [DOI] [PubMed] [Google Scholar]
  • 5.Miller G., Suzuki N., Ciftci-Yilmaz S., Mittler R. Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ. 2010;33:453–467. doi: 10.1111/j.1365-3040.2009.02041.x. [DOI] [PubMed] [Google Scholar]
  • 6.Asada K. Production and scavenging of reactive oxygen species in chloroplasts and their functions. Plant Physiol. 2006;141:391–396. doi: 10.1104/pp.106.082040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chaves M.M., Flexas J., Pinheiro C. Photosynthesis under drought and salt stress: Regulation mechanisms from whole plant to cell. Ann. Bot. 2009;03:551–560. doi: 10.1093/aob/mcn125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Baker N.R. Chlorophyll fluorescence: A probe of photosynthesis in vivo. Annu. Rev. Plant Biol. 2008;59:89–113. doi: 10.1146/annurev.arplant.59.032607.092759. [DOI] [PubMed] [Google Scholar]
  • 9.Lawlor D.W., Cornic G. Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. Plant Cell Environ. 2002;25:275–294. doi: 10.1046/j.0016-8025.2001.00814.x. [DOI] [PubMed] [Google Scholar]
  • 10.Noctor G., Mhamdi A., Foyer C.H. The roles of reactive oxygen metabolism in drought: Not so cut and dried. Plant Physiol. 2014;164:1636–1648. doi: 10.1104/pp.113.233478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jin X., Cao D., Wang Z., Ma L., Tian K., Liu Y., Gong Z., Zhu X., Jiang C., Li Y. Genome-wide identification and expression analyses of the LEA protein gene family in tea plant reveal their involvement in seed development and abiotic stress responses. Sci. Rep. 2019;9:14123. doi: 10.1038/s41598-019-50645-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Abdul Aziz M., Sabeem M., Mullath S.K., Brini F., Masmoudi K. Plant group II LEA proteins: Intrinsically disordered structure for multiple functions in response to environmental stresses. Biomolecules. 2021;11:1662. doi: 10.3390/biom11111662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Graether S.P., Boddington K.F. Disorder and function: A review of the dehydrin protein family. Front. Plant Sci. 2014;5:576. doi: 10.3389/fpls.2014.00576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Szlachtowska Z., Rurek M. Plant dehydrins and dehydrin-like proteins: Characterization and participation in abiotic stress response. Front. Plant Sci. 2023;14:1213188. doi: 10.3389/fpls.2023.1213188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Xie Y., Ma Y., Sun X., Liu H., Qiang Z. Comprehensive analysis of dehydrin genes reveals ZmDHN3 contributes to drought resistance in maize (Zea mays L.) BMC Plant Biol. 2025;25:1186. doi: 10.1186/s12870-025-07223-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bao F., Du D., An Y., Yan W., Wang J., Cheng T., Zhang Q. Overexpression of Prunus mume dehydrin genes in tobacco enhances tolerance to cold and drought. Front. Plant Sci. 2017;8:151. doi: 10.3389/fpls.2017.00151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Gao T., Mo Y., Huang H., Yu J., Wang Y., Wang W. Heterologous expression of Camellia sinensis late embryogenesis abundant protein gene 1 (CsLEA1) confers cold stress tolerance in Escherichia coli and yeast. Hortic. Plant J. 2021;7:89–96. doi: 10.1016/j.hpj.2020.09.005. [DOI] [Google Scholar]
  • 18.Yang Y., Liu H., Wang A., Zhang L. An ERF-type transcription factor is involved in the regulation of the dehydrin wzy1-2 gene in wheat. Plant Signal. Behav. 2020;15:1778920. doi: 10.1080/15592324.2020.1778920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kong H., Xia W., Hou M., Ruan N., Li J., Zhu J. Cloning and function analysis of a Saussurea involucrata LEA4 gene. Front. Plant Sci. 2022;13:957133. doi: 10.3389/fpls.2022.957133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Liu Y., Li D., Song Q., Zhang T., Li D., Yang X. The maize late embryogenesis abundant protein ZmDHN13 positively regulates copper tolerance in transgenic yeast and tobacco. Crop J. 2019;7:403–410. doi: 10.1016/j.cj.2018.09.001. [DOI] [Google Scholar]
  • 21.Xing X., Liu Y., Kong X., Liu Y., Li D. Overexpression of a maize dehydrin gene, ZmDHN2b, in tobacco enhances tolerance to low temperature. Plant Growth Regul. 2011;65:109–118. doi: 10.1007/s10725-011-9580-3. [DOI] [Google Scholar]
  • 22.Ju H., Li D., Li D., Yang X., Liu Y. Overexpression of ZmDHN11 could enhance transgenic yeast and tobacco tolerance to osmotic stress. Plant Cell Rep. 2021;40:1723–1733. doi: 10.1007/s00299-021-02734-0. [DOI] [PubMed] [Google Scholar]
  • 23.Brini F., Hanin M., Lumbreras V., Amara I., Khoudi H., Hassairi A., Pagès M., Masmoudi K. Overexpression of wheat dehydrin DHN-5 enhances tolerance to salt and osmotic stress in Arabidopsis thaliana. Plant Cell Rep. 2007;26:2017–2026. doi: 10.1007/s00299-007-0412-x. [DOI] [PubMed] [Google Scholar]
  • 24.Saibi W., Feki K., Ben Mahmoud R., Brini F. Durum wheat dehydrin (DHN-5) confers salinity tolerance to transgenic Arabidopsis plants through the regulation of proline metabolism and ROS scavenging system. Planta. 2015;242:1187–1194. doi: 10.1007/s00425-015-2351-z. [DOI] [PubMed] [Google Scholar]
  • 25.Cao Y., Xiang X., Geng M., You Q., Huang X. Effect of HbDHN1 and HbDHN2 genes on abiotic stress responses in Arabidopsis. Front. Plant Sci. 2017;8:470. doi: 10.3389/fpls.2017.00470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Halder T., Upadhyaya G., Ray S. YSK2 Type Dehydrin (SbDhn1) from Sorghum bicolor Showed Improved Protection under High Temperature and Osmotic Stress Condition. Front. Plant Sci. 2017;8:918. doi: 10.3389/fpls.2017.00918. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Meng Y.C., Zhang H.F., Pan X.X., Chen N., Hu H.F., Haq S.U., Khan A., Chen R.G. CaDHN3, a pepper (Capsicum annuum L.) dehydrin gene enhances the tolerance against salt and drought stresses by reducing ROS accumulation. Int. J. Mol. Sci. 2021;22:3205. doi: 10.3390/ijms22063205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhou M., Peng N., Yang C., Wang C. The poplar (Populus trichocarpa) dehydrin gene PtrDHN-3 enhances tolerance to salt stress in Arabidopsis. Plants. 2022;11:2700. doi: 10.3390/plants11202700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fan J., Zhang Y., Sun H., Duan R., Jiang Y., Wang X., Sun Y., Luo Z., Wang P., Guan S., et al. Overexpression of soybean GmDHN9 gene enhances drought resistance of transgenic Arabidopsis. GM Crops Food. 2024;15:118–129. doi: 10.1080/21645698.2024.2327116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Flowers T.J., Colmer T.D. Salinity tolerance in halophytes. New Phytol. 2008;179:945–963. doi: 10.1111/j.1469-8137.2008.02531.x. [DOI] [PubMed] [Google Scholar]
  • 31.Song J., Shi W.W., Liu R.R., Xu Y.G., Sui N., Zhou J.C., Feng G. The role of the seed coat in adaptation of dimorphic seeds of the euhalophyte Suaeda salsa to salinity. Plant Spec. Biol. 2017;32:107–114. doi: 10.1111/1442-1984.12132. [DOI] [Google Scholar]
  • 32.Li H., Zhang L., Lin J., Chen S., Gao W., Zhang J., Ma H., Zhong M. SsDHN, a dehydrin protein from Suaeda salsa, enhances salt stress tolerance in transgenic tobacco plants. Plant Growth Regul. 2023;99:299–312. doi: 10.1007/s10725-022-00908-8. [DOI] [Google Scholar]
  • 33.Ma H., Guo J., Lu S., Zhang L., Chen S., Lin J., Zheng T., Zhuang F., Li H., Zhong M. Overexpression of Suaeda salsa SsDHN gene enhances salt resistance in tobacco by improving photosynthetic characteristics and antioxidant activity. Int. J. Mol. Sci. 2025;26:1185. doi: 10.3390/ijms26031185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Liu J., Liu J., Deng L., Liu H., Liu H., Zhao W., Zhao Y., Sun X., Fan S., Wang H., et al. An intrinsically disordered region-containing protein mitigates the drought–growth trade-off to boost yields. Plant Physiol. 2023;192:274–292. doi: 10.1093/plphys/kiad074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Li X., Liu Q., Feng H., Deng J., Zhang R., Wen J., Dong J., Wang T. Dehydrin MtCAS31 promotes autophagic degradation under drought stress. Autophagy. 2020;16:862–877. doi: 10.1080/15548627.2019.1643656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Smith M.A., Graether S.P. The disordered dehydrin and its role in plant protection: A biochemical perspective. Biomolecules. 2022;12:294. doi: 10.3390/biom12020294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Blatt M.R., Brodribb T.J., Torii K.U. Small pores with a big impact. Plant Physiol. 2017;174:467–469. doi: 10.1104/pp.17.00642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Li J., Besseau S., Toronen P., Sipari N., Kollist H., Holm L., Palva E.T. Defense-related transcription factors WRKY70 and WRKY54 modulate osmotic stress tolerance by regulating stomatal aperture in Arabidopsis. New Phytol. 2013;200:457–472. doi: 10.1111/nph.12378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Song C., Acuña T., Adler-Agmon M., Rachmilevitch S., Barak S., Fait A. Leveraging a graft collection to develop metabolomebased trait prediction for the selection of tomato rootstocks with enhanced salt tolerance. Hortic. Res. 2022;9:uhac061. doi: 10.1093/hr/uhac061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Zhang Q., Liu Y., Jiang Y., Li A., Cheng B., Wu J. ThASR3 confers salt and osmotic stress tolerances in transgenic Tamarix and Arabidopsis. BMC Plant Biol. 2022;22:586. doi: 10.1186/s12870-022-03942-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Xiong L., Schumaker K.S., Zhu J.K. Cell signaling during cold, drought, and salt stress. Plant Cell. 2002;14:S165–S183. doi: 10.1105/tpc.000596. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Waszczak C., Carmody M., Kangasjarvi J. Reactive oxygen species in plant signaling. Annu. Rev. Plant Biol. 2018;69:209–236. doi: 10.1146/annurev-arplant-042817-040322. [DOI] [PubMed] [Google Scholar]
  • 43.Gill S.S., Tuteja N. Reactive oxygen species and antioxidant machinery in abiotic stress tolerance in crop plants. Plant Physiol. Biochem. 2010;48:909–930. doi: 10.1016/j.plaphy.2010.08.016. [DOI] [PubMed] [Google Scholar]
  • 44.Shi Y., Chang Y.L., Wu H.T., Shalmani A., Liu W.T., Li W.Q., Xu J.W., Chen K.M. OsRbohB-mediated ROS production plays a crucial role in drought stress tolerance of rice. Plant Cell Rep. 2020;39:1767–1784. doi: 10.1007/s00299-020-02603-2. [DOI] [PubMed] [Google Scholar]
  • 45.Chen N., Fan X., Wang C., Jiao P., Jiang Z., Ma Y., Guan S., Liu S. Overexpression of ZmDHN15 enhances cold tolerance in yeast and Arabidopsis. Int. J. Mol. Sci. 2022;24:480. doi: 10.3390/ijms24010480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Liu T., Kawochar M.A., Liu S., Cheng Y., Begum S., Wang E., Zhou T., Liu T., Cai X., Song B. Suppression of the tonoplast sugar transporter, StTST3.1, affects transitory starch turnover and plant growth in potato. Plant J. 2023;113:342–356. doi: 10.1111/tpj.16050. [DOI] [PubMed] [Google Scholar]
  • 47.Yamane K., Rahman M.S., Kawasaki M., Taniguchi M., Miyake H. Pretreatment with antioxidants decreases the effects of salt stress on chloroplast ultrastructure in rice leaf segments (Oryza sativa L.) Plant Prod. Sci. 2004;7:292–300. doi: 10.1626/pps.7.292. [DOI] [Google Scholar]
  • 48.Iuchi S., Kobayashi M., Taji T., Naramoto M., Seki M., Kato T., Tabata S., Kakubari Y., Yamaguchi-Shinozaki K., Shinozaki K. Regulation of drought tolerance by gene manipulation of 9-cis-epoxycarotenoid dioxygenase, a key enzyme in abscisic acid biosynthesis in Arabidopsis. Plant J. 2001;27:325–333. doi: 10.1046/j.1365-313x.2001.01096.x. [DOI] [PubMed] [Google Scholar]
  • 49.Schwartz S.H., Qin X., Zeevaart J.A. Elucidation of the indirect pathway of abscisic acid biosynthesis by mutants, genes, and enzymes. Plant Physiol. 2003;131:1591–1601. doi: 10.1104/pp.102.017921. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Soma F., Takahashi F., Yamaguchi-Shinozaki K., Shinozaki K. Cellular Phosphorylation Signaling and Gene Expression in Drought Stress Responses: ABA-Dependent and ABA-Independent Regulatory Systems. Plants. 2021;10:756. doi: 10.3390/plants10040756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Cui Y., Wang Q. Physiological responses of maize to elemental sulphur and cadmium stress. Plant Soil Environ. 2006;52:523–529. doi: 10.17221/3542-PSE. [DOI] [Google Scholar]
  • 52.Hniličková H., Hnilička F., Orsák M., Hejnák V. Effect of salt stress on growth, electrolyte leakage, Na+ and K+ content in selected plant species. Plant Soil Environ. 2019;65:90–96. doi: 10.17221/620/2018-PSE. [DOI] [Google Scholar]
  • 53.Zhao L., Liu F., Xu W., Di C., Zhou S., Xue Y., Yu J., Su Z. Increased expression of OsSPX1 enhances cold/subfreezing tolerance in tobacco and Arabidopsis thaliana. Plant Biotechnol. J. 2009;7:550–561. doi: 10.1111/j.1467-7652.2009.00423.x. [DOI] [PubMed] [Google Scholar]
  • 54.Liu Y., Yang T., Lin Z., Gu B., Xing C., Zhao L., Dong H., Gao J., Xie Z., Zhang S., et al. A WRKY transcription factor PbrWRKY53 from Pyrus betulaefolia is involved in drought tolerance and AsA accumulation. Plant Biotechnol. J. 2019;17:1770–1787. doi: 10.1111/pbi.13099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Hoel B., Solhaug K.A. Effect of irradiance on chlorophyll estimation with the Minolta SPAD-502 leaf chlorophyll meter. Ann. Bot. 1998;82:389–392. doi: 10.1006/anbo.1998.0683. [DOI] [Google Scholar]
  • 56.Livak K.J., Schmittgen T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−∆∆CT method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

plants-15-00443-s001.zip (169.5KB, zip)

Data Availability Statement

All experimental data supporting this study’s conclusions are available in the manuscript and Supplementary Materials or can be obtained from the corresponding author upon reasonable request.


Articles from Plants are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES