Next Article in Journal
TRPC6-Mediated Ca2+ Influx Activates MAPK and NFκB Signaling and Elicits Pro-Inflammatory and Catabolic Responses in Human Intervertebral Disc Cells
Previous Article in Journal
Engineering Stem Cells for Islet Replacement Therapy: Recent Advances and Barriers for Clinical Translation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Functional Analysis of Tomato SPDS in Response to Osmotic Stress

School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
*
Authors to whom correspondence should be addressed.
Cells 2026, 15(6), 533; https://doi.org/10.3390/cells15060533
Submission received: 8 February 2026 / Revised: 5 March 2026 / Accepted: 12 March 2026 / Published: 17 March 2026

Highlights

What are the main findings?
  • Four SlSPDS genes were identified in tomato, and their characteristics, subcellular localization, and stress response patterns were systematically analyzed.
  • Transient expression of SlSPDS affected polyamine contents in tomato, and overexpression transgenic tomato lines were generated to verify the function of SlSPDS.
What is the implication of the main finding?
  • These findings clarify the potential role of the SlSPDS gene family in abiotic stress tolerance in tomato.
  • This study provides a theoretical basis for the genetic improvement of stress resistance in Solanaceae crops.

Abstract

Polyamines, such as spermidine (Spd), are small aliphatic amines that play critical roles in plant growth, fruit development, and stress responses. Spermidine synthase (SPDS) is the enzyme responsible for catalyzing Spd biosynthesis. However, the functional characterization of SPDS genes in tomato (Solanum lycopersicum) has been less studied. In this study, four SlSPDS genes (SlSPDS1-4) were identified and analyzed for their physicochemical properties, phylogenetic relationships, promoter cis-acting elements, subcellular localization, responses to various abiotic stresses, and effects on polyamine content in tomato leaves. Promoter analysis revealed the presence of multiple hormone and stress-responsive elements. Simultaneously, the overexpressing lines were subjected to osmotic stress treatment. Subcellular localization experiments demonstrated that SlSPDS1 and SlSPDS2 were distributed in both the nucleus and cytoplasm, while SlSPDS3 and SlSPDS4 were specifically localized to the nucleus. SlSPDS1-3 exhibited significant responses to high/low temperature stress, salt stress, and ABA stress. Meanwhile, only SlSPDS1 and SlSPDS4 exhibited responses to drought stress. Transient expression of SlSPDSs in tomato revealed changes in the accumulation levels of spermine, putrescine, tyramine, and tryptamine, whereas the contents of spermidine and phenethylamine showed no significant changes. Simultaneously, we successfully obtained four SlSPDS-overexpressing transgenic tomato lines, OE-SPDS1-4. Phenotypic analysis confirmed that these transgenic lines exhibited significantly reduced wilting and chlorosis compared with WT plants under drought and salt stress. Functional validation indicates that overexpression of these genes enhances reactive oxygen species (ROS) scavenging capacity in transgenic tomatoes, thereby potentially improving their tolerance to drought and salt stress. These findings highlighted the potential function of SlSPDS genes in tomato, providing valuable targets for improving stress tolerance.

1. Introduction

Polyamines (PAs) are a class of aliphatic nitrogenous bases widely distributed in living organisms, playing a central role in plant growth, development, and stress adaptation [1]. In plants, polyamines primarily comprise three major categories: putrescine (Put), spermidine (Spd), and spermine (Spm). Polyamines play crucial biological roles in both animals and plants. Polyamines regulate growth and development, stabilize biomolecules, promote gene transcription and protein synthesis, enhance stress resistance, and modulate aging. In plants, PAs also confer enhanced stress resistance, and Put, in particular, acts as a fast-acting switch to rapidly improve tolerance against osmotic stress [2]. As a key intermediate in the synthesis of putrescine and spermine, spermidine possesses unique and irreplaceable functions. In animals, polyamines regulate aging and neuroprotection via autophagy activation. Singh et al. reported that Spd, a caloric restriction mimetic, protects the aged male rat brain against oxidative stress and apoptosis by activating autophagy [3]. Similarly, Xu et al. reported that Spd and Spm delay brain aging and improve cognitive function in mice via the same autophagic pathway [4]. In plants, polyamines regulate cell growth, differentiation, and proliferation; delay aging; and influence embryonic development, morphogenesis, root formation, floral bud differentiation, and fruit growth [1]. For instance, in Anoectochilus roxburghii, low concentrations of exogenous Spd induce premature flowering, while high concentrations inhibit flowering and may even cause plant death [5]. In tobacco thin-layer tissue culture, spermidine promotes floral bud differentiation, while its absence results in the formation of vegetative buds only [6]. Research indicates that polyamine metabolism plays a role in parthenocarpy in tomatoes [7]. Exogenous polyamine application to strawberry fruits enhances fruit coloration [8].
Plant polyamine biosynthesis primarily proceeds via the arginine decarboxylation pathway: arginine is decarboxylated by arginine decarboxylase (ADC, EC 4.1.1.19) to form agmatine, which is subsequently converted to citrulline and then to Put [1,9]. Putrescine is further converted to Spd by spermidine synthase (SPDS, EC 2.5.1.16), and Spd can be catalyzed by spermine synthase (SPMS, EC 2.5.1.22) to Spm. As the rate-limiting enzyme in Spd biosynthesis, SlSPDS-encoded spermidine synthase directly modulates endogenous Spd levels and is involved in multiple plant physiological processes [10]. In Arabidopsis thaliana, AtSPDS is a core member of the polyamine biosynthetic gene family, and its encoded protein harbors the key catalytic domain for Put-to-Spd conversion [11]. Exogenous spermidine enhances tomato seedling tolerance to salt–alkali stress by regulating physiological and biochemical indicators [12]. The cross-regulation between polyamine and ethylene signaling pathways significantly influences tomato’s defense response against pathogens [13]. By regulating endogenous Spd synthesis and accumulation, the SPDS gene profoundly influences tomato fruit development and fruit quality formation [14]. The normal expression of tomato SlSPDS is crucial for floral organ identity and fruit set, and its dysregulation frequently results in abnormal floral development and failed fruit formation [15]. As a key member of the polyamine family, spermidine can also regulate lifespan by inducing autophagy pathways [16]. Upregulation of key genes in polyamine synthesis is the core regulatory mechanism for enhancing endogenous polyamine levels in tomatoes [17].
Abiotic stresses, including salt, drought, and extreme temperatures, readily trigger metabolic responses characterized by reactive oxygen species (ROS) burst in plants, leading to oxidative stress damage [18]. Overexpression of the S-adenosyl-L-methionine synthase gene (SAMS) significantly enhances tomato tolerance to alkaline stress by promoting polyamine biosynthesis and maintaining cellular ion homeostasis [19]. Meanwhile, accumulated polyamines can mediate the NO signaling pathway, enhancing ROS scavenging capacity to mitigate oxidative damage [20,21]. Overexpression of SPDS genes or exogenous spermidine treatment significantly improves tomato salt tolerance by maintaining ion homeostasis and enhancing antioxidant defense system activity [22]. This regulatory pattern shares similarities with those involving TOR kinase and ABA receptors [23]. For instance, the SlWRKY81-JAZ1-JA signaling pathway regulates spermidine synthesis, and spermidine synergistically enhances tomato salt and alkalinity tolerance by maintaining sodium–potassium ion balance [24]. The effects of exogenous spermidine on drought stress in barley indicate that exogenous spermidine can alleviate drought stress by enhancing antioxidant enzyme activity and other mechanisms [25]. Polyamine metabolism is a key pathway in plant responses to abiotic stresses like drought [26]. Additionally, Pseudomonas strains can alleviate drought stress by regulating the polyamine biosynthesis pathway in Arabidopsis [27]. Exogenous spermidine significantly improves seed germination rates in peppers under drought stress by enhancing root vitality, boosting antioxidant enzyme activity, and promoting the synthesis of osmoprotectants [28]. Under low-temperature stress, overexpression of the CaSPDS gene in peppers exacerbates seedling cold injury and elevates reactive oxygen species levels [29]. Similarly, overexpression of the SPDS gene in tomatoes enhances cold tolerance by promoting the accumulation of osmoprotective substances and boosting antioxidant enzyme activity [30]. Exogenous spermidine delays chlorophyll degradation in cucumber leaves under high-temperature stress [31]. Under osmotic stress, putrescine synergistically enhances plant stress resistance [2]; abiotic stress induces polyamine accumulation in plants and elevates the activity of key synthetic enzymes such as ADC, SAMDC, and SPDS [32]. Changes in spermidine content in soybeans affect diamine oxidase activity [33]. In eggplant, the transcription factor SmMYB44 confers enhanced resistance to bacterial wilt by directly activating SmSPDS expression and thereby promoting spermidine accumulation [34]. We investigated the multi-stress response mechanism of the tomato SlSPDS gene family and found that its overexpression enhances stress tolerance by boosting ROS scavenging and slowing chlorophyll degradation. In contrast, polyamine metabolism exhibits a network-like division of labor. Transient overexpression of Spd has limited regulatory effects on Spd itself but specifically modulates the synthesis of other polyamines and aromatic amines. This feature distinguishes it from other species and fills a gap in research on functional differentiation within the SlSPDS gene family.
In summary, tomato SlSPDS, a core regulator of polyamine biosynthesis, promotes spermidine accumulation, which in turn modulates ion homeostasis and enhances stress tolerance under saline–alkaline stress [35]. However, the function of SlSPDS1-4 and its contribution to spermidine synthesis remain unclear. We analyzed the expression patterns of SlSPDS1-4 genes under various abiotic stresses and validated their functional roles in modulating plant polyamine content using transient expression technology. Furthermore, we established transgenic tomato lines overexpressing SlSPDS1-4 for the first time and examined their physiological responses to drought and salt stress. This study provides critical data and a theoretical foundation for deciphering the regulatory mechanisms of polyamine metabolism in tomato and enabling targeted genetic improvement of polyamine composition. It will advance research into the relationship between polyamine regulation and tomato quality.

2. Materials and Methods

2.1. Plant Materials and Growth Conditions

The plant materials used in this study included tomato cultivar Micro-Tom (accession number ID taxonomy4081), transgenic tomato lines overexpressing the SlSPDS genes (OE-SPDS1-4), and Bentham’s tobacco (Nicotiana benthamiana) (accession number ID taxonomy ID: 4097). The tomato and tobacco were provided by the Key Laboratory of Sustainable Utilization of Tropical Biological Resources, Hainan Province. All experiments were conducted at Hainan University (longitude: 110.326842, latitude: 20.056716). All plant materials were propagated using a growing medium composed of a 3:1 (v/v) mixture of commercial potting soil and vermiculite. Tomatoes were cultivated in a greenhouse under a 16 h/8 h light/dark cycle at 24–26 °C. Seedlings were harvested at the five-leaf-one-heart stage (4 weeks old) for subsequent stress treatments and related experiments. Tobacco seeds were directly sown onto the seedling substrate, and uniformly growing plants were selected for genetic transformation and subcellular localization analysis. The workflow for constructing SlSPDS gene overexpression transgenic tomato lines was as follows: Taq DNA polymerase was used to amplify the full-length coding sequences of SlSPDS1-4 genes. The amplification products were cloned into the pG1300 vector. Following T4 DNA ligase-mediated ligation, the recombinant plasmid was used for genetic transformation, ultimately yielding OE-SPDS1-4 transgenic lines. The validation results of SlSPDS overexpression lines by qRT-PCR are displayed in Supplementary Figure S6.

2.2. Identification of the SPDS Gene Family

The tomato genome sequence was downloaded the tomato genome sequence from JGI [36] (https://phytozome-next.jgi.doe.gov, accessed on 13 September 2023). Using TBtools-II [37] software, we performed BLAST searches against the Arabidopsis SPDS1-3 amino acid sequences in the tomato genome database (Solanum lycopersicum ITAG4.0) and removed duplicates. We obtained the sequences of genomic DNA and cDNA of all SPDS members in FASTA format from the NCBI database. The exon–intron structure of each gene was predicted using the online tool GSDS 2.0 [38] (https://gsds.gao-lab.org/Gsds_help.php, accessed on 7 October 2025). Conserved motif analysis of the SPDS gene family was performed by the online software MEME Suite [39] (https://meme-suite.org/meme/tools/meme, accessed on 7 October 2025). TBtools-II was used to visualize these data (Supplementary Figure S1).

2.3. Protein Physicochemical Characterization

The physicochemical properties of the SlSPDS1-4 proteins were analyzed by online tools. The theoretical isoelectric point (pI), relative molecular weight (MW), instability coefficient (II), aliphatic index (AI), and mean hydrophobicity (GRAVY) of the proteins were systematically evaluated using the ProtParam tool [40] (https://web.expasy.org/protparam, accessed on 1 October 2025). The subcellular localization of SlSPDS proteins was predicted using the WOLF PSORT tool [41] (https://wolfpsort.hgc.jp, accessed on 1 October 2025).

2.4. Multiple Sequence Alignment and Phylogenetic Analysis of the SlSPDS1-4

We downloaded potato (Solanum tuberosum), tomato, and rice (Oryza sativa L.) from the JGI website [36]. We obtained the genome and annotation files for eggplant (Solanum melongena) from the Solanaceae Database (https://solgenomics.net/, accessed on 13 October 2025). Additionally, we acquired the protein sequences of SPDS gene family members from Arabidopsis thaliana via the TAIR website (https://www.arabidopsis.org, accessed on 13 October 2025). Protein sequences were submitted to InterPro via TBtools-II [37] for domain prediction. Candidate sequences were identified through BLAST alignment using Arabidopsis SPDS protein sequences, with initial screening completed by NCBI BLAST alignment. Tomato SPDS family members were validated using TBtools’ built-in TMHMM program [42] (https://services.healthtech.dtu.dk/services/TMHMM-2.0/, accessed on 7 October 2025). The ClusterW module of MEGA 12 [43] software was used for multiple-species protein sequence alignment. Based on the alignment results, a phylogenetic tree was constructed using the maximum likelihood method and subjected to bootstrap testing (1000 replicates). Finally, the evolutionary tree was visually optimized using the online tool iTOL [44] (https://itol.embl.de, accessed on 27 October 2025).

2.5. Analysis of SPDS Gene Structure and Chromosomal Localization

Homology modeling of the protein’s three-dimensional structure was conducted using the SWISS-MODEL [45] (https://swissmodel.expasy.org, accessed on 7 June 2025) automated protein structure prediction server (Supplementary Figure S2). The coding region sequence (CDS) of the tomato SPDS genes and their corresponding genome sequence were obtained. The intron/exon structures of the genes were resolved by sequence alignment using the GSDS online tool [38] (Supplementary Figure S3). The chromosome localization mapping was visualized using TBtools-II software (Supplementary Figure S4).

2.6. Identification of Cis-Acting Elements in Promoter Sequence Analysis

A promoter sequence 1500 bp upstream of the start codon of the tomato SlSPDS genes was extracted. The sequence was submitted to the PlantCARE database [46] (https://bioinformatics.psb.ugent.be/webtools/plantcare/html, accessed on 15 October 2025) for prediction and annotation of cis-acting elements within the promoter region. Visualization of the prediction results was mapped through the TBtools-II website.

2.7. Subcellular Localization of SlSPDS

To determine the subcellular localization of SlSPDS1-4. The SlSPDS1-4 genes were individually cloned from tomato leaf cDNA. Using restriction enzymes SalI/BamHI, they were cloned into the multiple cloning site of the p1300-GFP vector. The constructed recombinant vector was transformed into Agrobacterium tumefaciens strain LBA4404, which was used to transiently infect tobacco leaves via Agrobacterium-mediated transformation. The bacterial culture was adjusted to an OD600 of 0.6 using MS liquid medium. Five-week-old tobacco plants were selected, and Agrobacterium-mediated transformation was performed by injecting the bacterial suspension onto the abaxial surface of tobacco leaves for transient transformation. Finally, fluorescence signals of the fusion protein (SlSPDS-GFP) were observed using laser confocal microscopy to determine its subcellular localization.

2.8. Abiotic Stress Treatment of Tomatoes and Sample Collection

To analyze the expression patterns of target genes, WT potted tomato plants at the five-leaf-heart stage (4 weeks old) were selected and subjected to abiotic stress and hormone treatments under normal watering conditions. All treatment groups included three biological replicates. The fourth fully expanded true leaf samples were collected at 0, 1, 3, 6,9, 12, 24, and 48 h post-treatment. Samples were rapidly frozen in liquid nitrogen and stored at −80 °C for subsequent analysis. Specific treatments were as follows. Temperature stress: Expose potted seedlings to low temperature (4 °C) and high temperature (42 °C) conditions. Salt stress: Irrigated with 100 mL of 300 mM NaCl solution per pot. Drought stress (PEG): Irrigated with 100 mL of 20% PEG6000 solution per pot; the fourth fully expanded true leaf was collected. Abscisic acid (ABA) treatment: Foliar sprayed with 100 μmol/L ABA solution.
OE-SlSPDS transgenic lines and WT potted tomato plants at the five-leaf-one-heart stage were subjected to salt and drought stress treatments. All treatments included three biological replicates, with plants maintained under normal watering conditions prior to treatment. Specific treatment and sampling protocols were as follows: Salt stress: Irrigate each pot of overexpressing plants with 100 mL of 350 mM NaCl solution, followed by replenishment with an equal volume of the same solution on day 4 post-treatment. After 7 days of stress, collect the fourth true leaf for DAB staining analysis. Photograph the plants after 10 days of stress treatment to document their overall phenotype. Drought stress (PEG): Each pot was irrigated with 100 mL of 20% PEG solution. The fourth true leaf was collected 3 days after stress onset for DAB staining analysis. Photograph the plants after 10 days of stress treatment to document their overall phenotype. Chlorophyll Content Determination: Fourth to fifth functional leaves were harvested from untreated OE-SlSPDS1-4 and WT plants. Three biological replicates were established, each comprising four leaves. These leaves were placed in a 200 mM NaCl solution for detached phenotypic observation and chlorophyll content measurement. Results were tabulated as the average values for each genotype.

2.9. Detection of Polyamine Content in SlSPDS1-4 Transient Overexpressed Tomato Leaves

To elucidate the regulatory role of the SlSPDS1-4 in tomato spermidine synthesis, SlSPDS1-4 overexpression vectors and pG1300 empty vectors were constructed and subsequently transformed into Agrobacterium tumefaciens LBA4404 strain. The bacterial culture was initially activated to an OD600 of 0.4–0.5, then further concentrated to an OD600 of 0.8–1.0. It was injected into the fourth fully expanded leaf of tomato plants, with at least three biological replicates performed. At 72 h post-injection, the injected leaves were collected, rapidly frozen in liquid nitrogen, and preserved at −80 °C. Polyamine quantification was performed by SanShu Biotechnology (Shanghai, China) using ultra-high-performance liquid chromatography (UPLC).

2.10. RNA Extraction, cDNA Synthesis, and qRT-PCR Analysis

Total RNA was extracted using the Vazyme Plant RNA Extraction Kit (Vazyme, Nanjing, China) and verified for purity and integrity via 1.0% agarose gel electrophoresis. cDNA synthesis was performed using the FastKing Reverse Transcription Kit (KR116, Taigen Bio, Beijing, China). Three biological replicates with three technical replicates for each sample were performed. The qRT-PCR reaction system (10 μL) contained 0.5 μL cDNA template, 5 μL TB Green Master Mix (Takara, Beijing, China), and 0.4 pmol of each primer. The qRT-PCR cycling program consisted of an initial denaturation at 95 °C for 30 s, followed by 40 cycles of denaturation at 95 °C for 5 s and annealing/extension at 60 °C for 30 s. The EF1α gene served as an internal control for normalizing cDNA quantity, and relative expression levels of target genes were calculated using the 2−ΔΔCt method.

2.11. Determination of Chlorophyll Content in Tomato Leaves and DAB Staining Detection

Chlorophyll content was measured using an SPAD-502 chlorophyll meter (Konica Minolta, Tokyo, Japan). Each sample was measured three times, and the average value was calculated to reduce experimental error. The DAB staining method was used to stain whole leaves from WT and SlSPDS1-4 overexpressing plants subjected to stress treatment, enabling qualitative observation of hydrogen peroxide (H2O2) accumulation levels. All data underwent statistical analysis using GraphPad Prism 10 software.

2.12. Data Analysis

Data processing and statistical analysis were performed using Microsoft Excel and GraphPad Prism 10. Data were expressed as mean ± standard deviation (SD) of three biological replicates. One-way analysis of variance (ANOVA) was used to assess the significant differences between the control and treated samples, with significance levels set at * p < 0.05 and ** p < 0.01.

3. Results

3.1. Identification of SlSPDS1-4 Genes and Analysis of Physicochemical Properties

Four SlSPDS genes (SlSPDS1-4) encoding spermidine synthase proteins were identified in tomato through bioinformatics database searches (Table 1). The predicted protein length varies from 95 to 357 amino acids, while molecular weights range from 34.20 to 39.26 kDa (SlSPDS1 being the largest and SlSPDS2 the smallest). The theoretical isoelectric points (pI) of all SlSPDS proteins are below 7.0 (4.81–5.61), suggesting that they are acidic in nature. Protein stability analysis indicated that SlSPDS1 and SlSPDS4 are stable proteins, while SlSPDS2 and SlSPDS3 are unstable (instability index > 40). The aliphatic index values range from 84.62 to 92.44, reflecting good thermostability. Hydrophobicity analysis revealed that SlSPDS4, with an average hydrophobicity index greater than 0, is a hydrophobic protein, whereas SlSPDS1-3 is neutral. Subcellular localization prediction showed that all SlSPDS proteins localized in the cytoplasm (Table 1).

3.2. Bioinformatics Analysis and Subcellular Localization of the Tomato SlSPDS1-4 Gene

To explore the evolutionary relationships of tomato SPDS, a phylogenetic tree was constructed using SPDS protein sequences from five plant species: tomato, potato, rice, Arabidopsis, and eggplant (Figure 1A). Based on sequence similarity and evolutionary relationships, phylogenetic analysis classified SPDS proteins into three subgroups (Group I–III): Within Group II, eight sequences clustered together with SlSPDS2 and SlSPDS3 from tomato on a major branch. The evolutionary clustering results indicate that Subgroup III comprises only SPDS sequences from Solanaceae species (tomato, potato, eggplant), representing a Solanaceae-specific SPDS evolutionary lineage. Four SlSPDSs are distributed across three subgroups. Concurrently, tomato SPDS sequences clustered frequently with those from closely related species like potato and eggplant, consistent with the evolutionary principle of closer gene relationships among proximate species. To further explore the potential regulatory mechanisms and stress-related functions of SlSPDS genes. A cis-acting element analysis was performed on the 1500 bp promoter regions upstream of the start codons. The analysis revealed a wide distribution of hormone and stress-responsive elements within SlSPDS promoters, including abscisic acid-responsive elements, jasmonic acid-responsive motifs, salicylic acid-responsive elements, and auxin-responsive elements. Additionally, elements associated with flavonoid biosynthesis and plant defense were identified. Interestingly, a low temperature-responsive element was exclusively detected in the SlSPDS2 promoter, while a drought-inducible element was uniquely present in the SlSPDS1 promoter (Figure 1B). To determine the site where SlSPDS proteins function, subcellular localization analysis was performed (Figure 1C). Recombinant constructs (CaMV 35S::SlSPDS) in the pG1300 vector were transiently expressed in epidermal cells of tobacco leaves. Confocal laser scanning microscopy revealed that SlSPDS1-2 displayed fluorescent signals distributed in both the cytoplasm and nucleus, indicating a nucleocytoplasmic localization pattern similar to that of the pG1300 empty vector control. In contrast, SlSPDS3-4 fluorescence is exclusively detected in the nucleus, confirming its nucleus-specific localization.

3.3. Expression Profiles of SlSPDS Genes Under Abiotic Stress Treatments

To investigate the expression pattern of SlSPDS1-4 genes under abiotic stress, this study used WT tomato plants as experimental materials, their expression was analyzed by qRT-PCR under temperature stress (4 °C low temperature, 42 °C high temperature) (Figure 2), osmotic stress (300 mM NaCl salt, PEG6000 simulated drought) (Figure 3), and 100 µM ABA treatment (Figure 4).
Under low-temperature stress, the expression patterns of SlSPDS1-4 genes exhibited significant differences. Among them, SlSPDS1 and SlSPDS3 are significantly upregulated at 48 h, with relative expression levels reaching approximately five-fold that of the control group. SlSPDS2 shows marked downregulation compared to the control, with the downregulation effect being particularly pronounced at 9 h and 24 h. SlSPDS4 shows no significant fluctuation in expression levels compared to the control group. Under high-temperature conditions, SlSPDS1 exhibits a gradual increase from 6 h, peaking at 48 h at seven times the control level. SlSPDS2 gene expression showed an overall upward trend compared to the control group, reaching a significant level at 48 h. The SlSPDS3 gene is significantly affected at 48 h. SlSPDS4 gene expression shows no significant fluctuation compared to the control group (Figure 2).
Under simulated drought stress conditions, compared with the control group, the expression level of the SlSPDS1 gene is significantly upregulated at 9 h and 12 h post-treatment. SlSPDS2 gene expression exhibits fluctuating changes, also demonstrating an upward trend at 12 h. SlSPDS3 gene expression also shows fluctuations, with no significant difference in expression levels compared to the control group during the first 3 h of stress. SlSPDS4 gene expression exhibits a downregulated trend, with expression levels significantly lower than those of the control group at 48 h. Under the salt stress conditions, SlSPDS1 gene expression shows a pattern of initial decline followed by an increase compared to the control group, with expression levels significantly higher than the control group, especially in the later stages of stress (after 12 h). The expression level of the SlSPDS2 gene is generally higher than that of the control group and exhibits fluctuating changes, with expression levels at both the 6 h and 48 h time points significantly higher than those of the control group. The expression of the SlSPDS3 gene also shows a trend of first decreasing and then increasing, with expression levels at 48 h significantly higher than those of the control group. The expression of the SlSPDS4 gene shows no significant fluctuations compared to the control group (Figure 3).
Under ABA treatment conditions, SlSPDS1 gene expression exhibits an upward trend compared to the control group, showing extremely significant upregulation at the 6 h, 9 h, and 12 h time points, with expression peaking at 12 h. SlSPDS2 gene expression exhibits an initial increase followed by a decrease relative to the control group, also peaking at 12 h with a relative expression level six-fold higher than the control. SlSPDS3 gene expression remained consistently higher than the control group, reaching a relative expression level four-fold higher than the control at 12 h. SlSPDS4 gene expression showed an upward trend at 1 h compared to the control group, with no significant fluctuations relative to the control at subsequent time points. Collectively, these results indicate that the SlSPDS gene family exhibits differential response patterns to different abiotic stresses, suggesting functional specialization within this gene family (Figure 4).

3.4. Impact of SlSPDS Gene Overexpression on Polyamine Metabolism in Tomato Leaves

To determine the optimal time point for the response of tomato SlSPDS1-4 genes to spermidine synthesis, we performed transient overexpression of these genes in WT tomato leaves. The results showed that SlSPDS1 expression is significantly upregulated at 48 h, while SlSPDS2-4 expression peaked at 72 h (Figure S5). Thus, the polyamine content of 72 h post-injection samples was determined (Figure 5). Results indicate that overexpression of the SlSPDS1 gene significantly affects the accumulation of spermine, tyramine, and tryptamine in leaves. Overexpression of the SlSPDS2 gene exerts no statistically significant effect on the content of any polyamine component. Overexpression of SlSPDS3 significantly affected tryptamine synthesis but exerts no statistically significant effect on other polyamine levels. Overexpression of SlSPDS4 in tomato plants significantly altered putrescine, tyramine, and tryptamine content but had no significant effect on spermine and spermidine levels. Its expression levels show no statistically significant difference compared to the control group. However, SlSPDS genes did not significantly regulate spermidine content.

3.5. Phenotypes and DAB Staining Analysis of OE-SlSPDS Transgenic Tomato Seedlings Under 20% PEG6000 Treatment

To elucidate the regulatory role of OE-SlSPDS tomato lines in tomato drought tolerance, under drought stress, WT plants showed obvious leaf curling and severe leaf edge scorching, while OE-SlSPDS lines displayed slight wilting and better growth performance. We systematically analyzed hydrogen peroxide (H2O2) accumulation levels in OE-SlSPDS tomato leaves under drought stress using DAB staining. The successful overexpression of SlSPDS in transgenic tomato lines was confirmed by qRT-PCR analysis (Figure S6). The transcript level of SlSPDS in the selected OE line was five-fold higher than that in the WT. These results (Figure 6) revealed that after PEG treatment, WT tomato leaves exhibited strong staining signals ranging from dark brown to blackish brown throughout the tissue, indicating substantial H2O2 accumulation within the plants. In contrast, DAB staining intensity was reduced in leaves of SlSPDS overexpression lines (SlSPDS1-4), with distinct phenotypic variations among lines. These results suggest that SlSPDSs contribute to the improvement of ROS-scavenging ability in tomato leaves under PEG-induced stress.

3.6. Phenotype, DAB Staining, and Chlorophyll Content in OE-SlSPDS Lines Under Salt Stress

To investigate the regulatory role of SlSPDS genes in tomato salt stress tolerance, under salt stress, WT plants showed serious wilting, significant leaf yellowing, and leaf tip necrosis, whereas OE-SlSPDS lines exhibited milder stress symptoms and better growth status. Excised leaves from OE-SlSPDS lines were used as materials and subjected to treatment in a 200 mM NaCl solution. Chlorophyll relative content was measured at 0, 2, and 3 days. At the onset of salt stress (0 d), the relative chlorophyll content in WT leaves was lower than that in all OE lines. As stress persisted for 2 and 3 d, chlorophyll content in WT exhibited a sustained and maximal decline, whereas SlSPDS1-4 overexpressing lines maintained relatively stable chlorophyll levels, with OE-SlSPDS2 showing the smallest decrease (Figure 7). These results indicate that SlSPDS gene overexpression enhances chlorophyll stability in tomato leaves under salt stress. DAB staining under 350 mM NaCl stress conditions revealed that (Figure 8) leaves of the WT exhibited extensive continuous dark brown precipitates, indicating massive hydrogen peroxide bursts within cells, whereas oxidative stress was significantly alleviated in OE-SlSPDS1-4. OE-SlSPDS2 plants exhibited mild overall leaf discoloration, while OE-SlSPDS1, OE-SlSPDS3, and OE-SlSPDS4 plants displayed only localized pale brown spots.

4. Discussion

Polyamines are key regulatory factors in plant growth and development. SPDS, as the core enzyme in the polyamine biosynthesis pathway, maintains polyamine homeostasis and participates in the regulation of growth and development [47,48]. Research has confirmed that polyamines not only directly regulate developmental processes as plant growth regulators but also act as second messengers for plant hormones, focusing on stress resistance in response to transpiration stress and synergistically controlling plant growth and development [49,50]. In this study, we first analyzed the gene structures and conserved motifs of SlSPDS family members to clarify their basic characteristics. Subsequently, subcellular localization was performed to determine the site of protein function. Finally, expression patterns under abiotic stresses were detected to reveal their potential involvement in stress tolerance. These results systematically lay a foundation for exploring the biological functions of SlSPDS genes in tomato. This finding is consistent with previous studies demonstrating AtPAO2 involvement in spermidine-mediated seed germination and early morphogenesis [51]. The regulatory role of polyamines covers the entire process of plant growth and development, participating in key developmental stages such as flowering, fruit ripening, and senescence [52,53].
Salt and drought stresses jointly inhibit plant growth by inducing physiological disorders such as ion imbalance, oxidative damage, cellular dehydration, and metabolic disruption [54]. Previous studies have demonstrated that spermidine significantly mitigates the adverse effects of salt stress by regulating nutrient metabolism in tomato leaves, enhancing sodium ion efflux capacity, and mediating SOS1-dependent long-distance sodium ion transport [55,56,57]. Under salt stress, SlSPDS1 and SlSPDS3 exhibited fluctuating induced expression, while SlSPDS2 maintained significantly higher expression levels than the control throughout the stress period. Under PEG6000-simulated drought stress, SlSPDS1 exhibited the most pronounced response, while other family members showed weaker responses, indicating this gene has high specificity and sensitivity to drought stress. Phenotypic observations showed that OE-SlSPDS significantly enhanced drought and salt tolerance in tomato. Under drought stress, WT plants exhibited severe leaf curling, while OE-SPDS lines grew better. Under salt stress, WT plants displayed obvious wilting, leaf yellowing, and tip necrosis, whereas OE-SPDS lines showed milder symptoms. These results demonstrate that OE-SlSPDS improves tomato tolerance to drought and salt stress. Previous studies have demonstrated the relationship between polyamines and plant growth and development under drought conditions in wheat, indicating that spermine and spermidine can alleviate the adverse effects of drought on plants [58]. Furthermore, Capell et al. confirmed that transgenic rice plants generated by regulating the polyamine biosynthesis pathway exhibited significantly elevated polyamine levels and consequently enhanced drought tolerance [59]. Salt stress and drought stress induce bursts of reactive oxygen species (ROS) in plants. Excessive ROS disrupts cell membrane integrity and damages organelles, serving as a key factor leading to stress-induced damage in plants [60,61]. The results showed that WT tomato leaves exhibited deep brown DAB staining after stress conditions, whereas OE-SlSPDS lines showed reduced staining intensity with localized spots or mild staining. These observations indicate that overexpression of SlSPDS inhibits H2O2 accumulation in tomato leaves under abiotic stress, enhances the ROS-scavenging capacity of plants, and thereby alleviates stress-induced oxidative damage. Chlorophyll, the central pigment in photosynthesis, is disrupted by abiotic stress through impaired synthesis pathways and accelerated degradation, leading to leaf yellowing and reduced photosynthetic efficiency. Chlorophyll content serves as a crucial physiological indicator for evaluating plant stress tolerance [62]. Notably, the OE-SlSPDS lines exhibited higher initial chlorophyll content under non-stress conditions, indicating that the excessive production of spermidine enhances the basal physiological state of tomato leaves. This elevated chlorophyll level likely provides crucial physiological support for the improved stress tolerance of OE lines. The rate of chlorophyll decline in the overexpressing lines was lower than that in the WT, indicating that OE-SlSPDS mitigates the damage to tomato chlorophyll caused by abiotic stress. In addition to osmotic stress, temperature stress significantly disrupts membrane stability in tomato cells and inhibits enzyme activity, thereby affecting normal plant growth and development [63]. This study found that SlSPDS1-3 genes were significantly upregulated under both high and low temperature stress, reaching peak expression at 48 h after treatment. Notably, the early activation of SlSPDS1–3 under low-temperature stress suggests that their expression may be modulated by low-temperature response elements (LTRs). As a central hub in abiotic stress signaling, ABA mediates adaptive responses to various stresses, including osmotic and thermal stress in plants [64]. Under treatment with 100 µM ABA, SlSPDS1-3 were significantly upregulated at all examined time points, whereas SlSPDS4 showed no significant difference relative to the control. These results indicate that this gene family displays differential responsiveness to ABA signaling. Previous studies have demonstrated a positive correlation between SPDS expression and endogenous ABA content [11]. Conversely, in ABA-deficient plants, SPDS transcript levels fail to increase significantly even under stress conditions, implying that ABA exerts a conserved transcriptional regulatory effect on SPDS genes [49]. Transformation of the apple SPDS gene into European pear significantly increases endogenous spermidine content in plants and enhances tolerance to multiple stresses, confirming the functional conservation of this gene in plant stress response regulation [65]. The SlSPDS gene family’s differential responses to various abiotic stresses clearly demonstrate its functional specialization. Although the expression of SlSPDS4 was weakly induced under stress, it possessed a conserved sequence and a typical SPDS domain. To fully reveal the function of the tomato SlSPDS gene family, we still selected it for overexpression analysis. The results showed that overexpression of SlSPDS4 also improved stress tolerance in tomato.
Previous studies have demonstrated that elevated expression of SPDS genes in other plants significantly regulates the anabolic metabolism of Spd and other polyamines. For instance, overexpression of GhSAMDC1 enhances salt tolerance in Arabidopsis, with the mechanism likely involving promotion of the polyamine synthesis pathway and regulation of Put/Spd/Spm levels [66]. In rice, activation of the OsSPDS genes also effectively promotes Spd accumulation, thereby influencing the plant’s stress resistance [67]. In tobacco, silencing the NtSPDS gene results in reduced Spd content, while its precursor Put and downstream product Spm show slight increases [25]. Overexpression of the MdSPDS1 gene in sweet orange (Citrus sinensis Osbeck) significantly enhances stress resistance [68]. This study employed Agrobacterium-mediated transient transformation technology to overexpress SlSPDS1-4 genes in tomato leaves. Sampling results indicated that SlSPDS1 expression was significantly upregulated at 48 h and 72 h, while SlSPDS2-4 expression levels peaked at 72 h (Supplementary Figure S5). Thus, we standardized the sampling time to 72 h. Despite the substantial increase in transcriptional levels across all genes, their overexpression did not significantly affect leaf spermidine content. This outcome may be closely related to the characteristics of the transient expression system: the polyamine synthetic metabolic network exhibits high complexity, involving multiple steps such as amino acid precursor supply and intermediate metabolite conversion. Expressed exogenous genes in transient expression systems function only for a brief period. The 72 h expression window may be insufficient to drive the complete metabolic flux redirection of the spermidine synthesis pathway, thereby failing to produce detectable, significant differences in spermine accumulation. Extending the sampling period might reveal noticeable changes in spermidine levels. Notably, although SlSPDS genes exhibit limited regulatory effects on spermidine, they demonstrate specific control over the synthesis of other polyamines and related aromatic amines. Based on phenotypic observations and the regulatory role of SlSPDS in spermidine synthesis, these results indicate that SlSPDS overexpression promotes spermidine accumulation, thereby enhancing ROS scavenging capacity, suppressing H2O2 accumulation, reducing oxidative damage and membrane lipid peroxidation, and ultimately improving stress resistance. And these results conclusively demonstrate that plant polyamine synthesis constitutes an interconnected, complex metabolic network. Expression changes in individual polyamine synthesis-related genes can significantly regulate the synthesis of other polyamines through cascading effects within the metabolic network [69,70]. Compared to other species, SPDS genes exhibit relatively uniform response patterns to abiotic stress, and most related studies focus on single-function validation rather than systematic analysis. For instance, tobacco NtSPDS demonstrates only a single effect, decreased Spd content following gene silencing [25], while OsSPDS merely activates under stress to promote Spd accumulation and enhance drought tolerance, without functional differentiation among family members [67]; in wheat, only the mitigating effect of Spd/Spm against drought injury has been validated [58]; only the enhancement of multiple stress tolerances by MdSPDS1 overexpression has been demonstrated, without detailed physiological parameter analysis [68]. In contrast, the four SlSPDS genes in tomatoes exhibited distinct differential expression patterns in response to abiotic stress in this study, with SlSPDS4 showing particularly weak responsiveness to abiotic stress.

5. Conclusions

In summary, four spermidine synthase genes (SlSPDS1–SlSPDS4) were identified in tomato, encoding mainly stable acidic proteins localized in the cytoplasm and nucleus. Phylogenetic and promoter analyses revealed high evolutionary conservation and multiple hormone and stress-responsive elements, suggesting regulatory roles in stress adaptation. Overexpression experiments confirmed that SlSPDS genes influence polyamine accumulation and serve as a potential target for enhancing tomato stress tolerance. Using tomato lines overexpressing the SlSPDS genes, this study investigated the gene’s function in tomato responses to abiotic stresses (drought and salt stresses) through DAB staining and chlorophyll content measurements. Combining stress phenotypes with physiological indicator results suggests that SlSPDS overexpression may enhance tomato tolerance to drought and salt stress by boosting ROS scavenging capacity and mitigating stress-induced chlorophyll degradation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells15060533/s1, Figure S1: The protein sequences of the tomato SlSPDS gene family were analyzed using the MEME online tool and a total of 7 conserved motifs (Motifs) were identified; Figure S2: The results of protein tertiary structure analysis showed that SlSPDS2 and SlSPDS3 have highly similar spatial conformations; Figure S3: Analysis of the gene structure showed that all members of the tomato SlSPDS family contain introns and their structures were relatively complex; Figure S4: Chromosomal localization visualization of SlSPDS family members was performed using TBtools; Figure S5: Transient expression analysis of SlSPDS1-4 genes in WT tomato using pG1300 as the empty vector control. Figure S6: Relative expression levels of SlSPDS gene in transgenic tomato overexpression (OE) lines (OE-SlSPDS1-4) and WT plants verified by quantitative real-time PCR (qPCR).

Author Contributions

Methodology, X.G. and X.Y.; software, L.C. and C.L.; validation, L.C., J.Z. and C.L.; formal analysis, L.C., J.Z. and C.L.; investigation, L.C., J.Z., C.L., S.H., L.Y. and J.L.; resources, X.G. and X.Y.; data curation, L.C., J.Z., C.L. and W.W.; writing—original draft preparation, L.C.; writing—review and editing, X.G. and X.Y.; visualization, L.C., J.Z., C.L. and W.W.; supervision, X.G. and X.Y.; project administration, X.G. and X.Y.; funding acquisition, X.G. and X.Y. All authors have read and agreed to the published version of the manuscript.

Funding

Hainan Provincial Natural Science Foundation (324MS011); The National Natural Science Foundation of China (32560625, 31960526, 32360458).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in this article or the Supplementary Material.

Acknowledgments

During the preparation of this work the authors used ChatGPT in order to improve language. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Alcázar, R.; Altabella, T.; Marco, F.; Bortolotti, C.; Reymond, M.; Koncz, C.; Carrasco, P.; Tiburcio, A. Polyamines: Molecules with regulatory functions in plant abiotic stress tolerance. Planta 2010, 231, 1237–1249. [Google Scholar] [CrossRef]
  2. Kotakis, C.; Theodoropoulou, E.; Tassis, K.; Oustamanolakis, C.; Ioannidis, N.E.; Kotzabasis, K. Putrescine, a fast-acting switch for tolerance against osmotic stress. J. Plant Physiol. 2014, 171, 48–51. [Google Scholar] [CrossRef]
  3. Singh, S.; Kumar, R.; Garg, G.; Singh, A.K.; Verma, A.K.; Bissoyi, A.; Rizvi, S.I. Spermidine, a caloric restriction mimetic, provides neuroprotection against normal and D-galactose-induced oxidative stress and apoptosis through activation ofautophagy in male rats during aging. Biogerontology 2021, 22, 35–47. [Google Scholar] [CrossRef] [PubMed]
  4. Xu, T.; Li, H.; Dai, Z.; Lau, G.; Li, B.; Zhu, W.; Liu, X.; Liu, H.; Cai, W.; Huang, X.; et al. Spermidine and spermine delay brain aging by inducing autophagy in SAMP8 mice. Aging 2020, 12, 6401. [Google Scholar] [CrossRef] [PubMed]
  5. Han, T.; Xu, E.; Yao, L.; Zheng, B.; Younis, A.; Shao, Q. Regulation of flowering time using temperature, photoperiod and spermidine treatments in Anoectochilus roxburghii. Physiol. Mol. Biol. Plants 2020, 26, 247–260. [Google Scholar] [CrossRef]
  6. Kaur-Sawhney, R.; Tiburcio, A.F.; Galston, A.W. Spermidine and flower-bud differentiation in thin-layer explants of tobacco. Planta 1988, 173, 282–284. [Google Scholar] [CrossRef] [PubMed]
  7. Fos, M.; Proano, K.; Alabadı, D.; Nuez, F.; Carbonell, J.; Garcıa-Martınez, J.L. Polyamine metabolism is altered in unpollinated parthenocarpic pat-2 tomato ovaries. Plant Physiol. 2003, 131, 359–366. [Google Scholar] [CrossRef]
  8. Guo, J.; Wang, S.; Yu, X.; Dong, R.; Li, Y.; Mei, X.; Shen, Y. Polyamines regulate strawberry fruit ripening by abscisic acid, auxin and ethylene. Plant Physiol. 2018, 177, 339–351. [Google Scholar] [CrossRef]
  9. Liu, J.; Ban, Y.; Wen, X.; Nakajima, I.; Moriguchi, T. Molecular cloning and expression analysis of an arginine decarboxylase gene from peach (Prunus persica). Gene 2009, 429, 10–17. [Google Scholar] [CrossRef]
  10. Liu, T.; Qu, J.; Fang, Y.; Yang, H.; Lai, W.; Pan, L.; Liu, J.H. Polyamines: The valuable bio-stimulants and endogenous signaling molecules for plant development and stress response. J. Integr. Plant Biol. 2025, 67, 582–595. [Google Scholar] [CrossRef]
  11. Imai, A.; Matsuyama, T.; Hanzawa, Y.; Akiyama, T.; Tamaoki, M.; Saji, H.; Shirano, Y.; Kato, K.; Hayashi, H.; Shibata, D.; et al. Spermidine synthase genes are essential for survival of Arabidopsis. Plant Physiol. 2004, 135, 1565–1573. [Google Scholar] [CrossRef]
  12. Zhang, Y.; Zhang, L.; Hu, X. Exogenous spermidine-induced changes at physiological and biochemical parameters levels in tomato seedling grown in saline-alkaline condition. Bot. Stud. 2014, 55, 58. [Google Scholar] [CrossRef]
  13. Nambeesan, S.; AbuQamar, S.; Laluk, K.; Mattoo, A.; Mickelbart, M.; Ferruzzi, M.; Mengiste, T.; Handa, A. Polyamines attenuate ethylene-mediated defense responses to abrogate resistance to Botrytis cinerea in tomato. Plant Physiol. 2012, 158, 1034–1045. [Google Scholar] [CrossRef]
  14. Neily, M.; Matsukura, C.; Maucourt, M.; Bernillon, S.; Deborde, C.; Moing, A.; Ezura, H. Enhanced polyamine accumulation alters carotenoid metabolism at the transcriptional level in tomato fruit over-expressing spermidine synthase. J. Plant Physiol. 2011, 168, 242–252. [Google Scholar] [CrossRef]
  15. Nambeesan, S.; Mattoo, A.; Handa, A. Nexus between spermidine and floral organ identity and fruit/seed set in tomato. Front. Plant Sci. 2019, 10, 1033. [Google Scholar] [CrossRef] [PubMed]
  16. Eisenberg, T.; Knauer, H.; Schauer, A.; Büttner, S.; Ruckenstuhl, C.; Carmona, D.; Madeo, F. Induction of autophagy by spermidine promotes longevity. Nat. Cell Biol. 2009, 11, 1305–1314. [Google Scholar] [CrossRef] [PubMed]
  17. Gao, F.; Mei, X.; Liu, Y.; Guo, J.; Shen, Y. Update on the roles of polyamines in fleshy fruit ripening, senescence, and quality. Front. Plant Sci. 2021, 12, 610313. [Google Scholar] [CrossRef] [PubMed]
  18. Apel, K.; Hirt, H. Reactive oxygen species: Metabolism, oxidative stress and signal transduction. Annu. Rev. Plant Biol. 2004, 55, 373–399. [Google Scholar] [CrossRef]
  19. Gong, B.; Li, X.; VandenLangenberg, K.; Wen, D.; Sun, S.; Wei, M.; Li, Y.; Yang, F.; Shi, Q.; Wang, X. Overexpression of S-adenosyl-l-methionine synthetase increased tomato tolerance to alkali stress through polyamine metabolism. Plant Biotechnol. J. 2014, 12, 694–708. [Google Scholar] [CrossRef]
  20. Diao, Q.; Song, Y.; Shi, D.; Qi, H. Nitric oxide induced by polyamines involves antioxidant systems against chilling stress in tomato (Lycopersicon esculentum Mill.) seedling. J. Zhejiang Univ.-Sci. B 2016, 17, 916–930. [Google Scholar] [CrossRef]
  21. Zhong, M.; Song, R.; Wang, Y.; Shu, S.; Sun, J.; Guo, S. TGase regulates salt stress tolerance through enhancing bound polyamines-mediated antioxidant enzymes activity in tomato. Environ. Exp. Bot. 2020, 179, 104191. [Google Scholar] [CrossRef]
  22. Wang, P.; Xu, Z.; Zhang, Y.; Ma, Y.; Yang, J.; Zhou, F.; Gao, Y.; Li, G.; Hu, X. Over-expression of spermidine synthase 2 (SlSPDS2) in tomato plants improves saline-alkali stress tolerance by increasing endogenous polyamines content to regulate antioxidant enzyme system and ionic homeostasis. Plant Physiol. Biochem. 2022, 192, 172–185. [Google Scholar] [CrossRef] [PubMed]
  23. Wang, P.; Zhao, Y.; Li, Z.; Hsu, C.; Liu, X.; Fu, L.; Hou, Y.; Du, Y.; Xie, S.; Zhang, C.; et al. Reciprocal regulation of the TOR kinase and ABA receptor balances plant growth and stress response. Mol. Cell 2018, 69, 100–112.e6. [Google Scholar] [CrossRef]
  24. Shang, C.; Liu, X.; Chen, G.; Li, G.; Hu, S.; Zheng, H.; Ge, L.; Long, Y.; Wang, Q.; Hu, X. SlWRKY81 regulates Spd synthesis and Na+/K+ homeostasis through interaction with SlJAZ1 mediated JA pathway to improve tomato saline-alkali resistance. Plant J. 2024, 118, 1774–1792. [Google Scholar] [CrossRef] [PubMed]
  25. Ami, C.; Rajam, M.V. RNAi-mediated silencing of spermidine synthase gene results in reduced reproductive potential in tobacco. Physiol. Mol. Biol. Plants 2018, 24, 1069–1081. [Google Scholar] [CrossRef]
  26. Blázquez, M.A. Polyamines: Their Role in Plant Development and Stress. Annu. Rev. Plant Biol. 2024, 75, 95–117. [Google Scholar] [CrossRef]
  27. Sen, S.; Ghosh, D.; Mohapatra, S. Modulation of polyamine biosynthesis in Arabidopsis thaliana by a drought mitigating Pseudomonas putida strain. Plant Physiol. Biochem. 2018, 129, 180–188. [Google Scholar] [CrossRef]
  28. Sun, K.; Lian, M.; Hou, Y.; Ge, T.; Yue, X.; Ye, Q.; Meng, G. From Seeds to Survival: The Role of polyamines for Improved Germination and Drought Resilience in Three Pepper Varieties. Sci. Hortic. 2025, 344, 114114. [Google Scholar] [CrossRef]
  29. Zhang, J.; Xie, M.; Yu, G.; Wang, D.; Xu, Z.; Liang, L.; Li, H. CaSPDS, a spermidine synthase gene from pepper (Capsicum annuum L.), plays an important role in response to cold stress. Int. J. Mol. Sci. 2023, 24, 5013. [Google Scholar] [CrossRef]
  30. Yang, J.; Wang, P.; Li, X.; Zhou, D.; Cai, X.; Hu, X.; Hu, S. Regulation of cold resistance by the polyamine biosynthetic gene SlSPDS2 via modulating the antioxidant enzyme system and osmotic regulatory substances in Solanum lycopersicum. Environ. Exp. Bot. 2023, 216, 105531. [Google Scholar] [CrossRef]
  31. Zhou, H.; Guo, S.; An, Y.; Shan, X.; Wang, Y.; Shu, S.; Sun, J. Exogenous spermidine delays chlorophyll metabolism in cucumber leaves (Cucumis sativus L.) under high temperature stress. Acta Physiol. Plant. 2016, 38, 224. [Google Scholar] [CrossRef]
  32. Kirschner, G. Enhancing tomato salt tolerance through polyamine transport and modification. Plant J. 2024, 120, 1700–1701. [Google Scholar] [CrossRef] [PubMed]
  33. Su, G.; An, Z.; Zhang, W.; Liu, Y.L. Light promotes the synthesis of lignin through the production of H2O2 mediated by diamine oxidases in soybean hypocotyls. J. Plant Physiol. 2005, 162, 1297–1303. [Google Scholar] [CrossRef] [PubMed]
  34. Qiu, Z.; Yan, S.; Xia, B.; Jiang, J.; Yu, B.; Lei, J.; Cao, B. The eggplant transcription factor MYB44 enhances resistance to bacterial wilt by activating the expression of spermidine synthase. J. Exp. Bot. 2019, 70, 5343–5354. [Google Scholar] [CrossRef] [PubMed]
  35. Hu, S.; Zhao, R.; Yang, J.; Wang, Z.; Hu, X. Spermidine-mediated endogenous nitric oxide coordinately boosts stability through antioxidant capacity and Na+/K+ transporters in tomato under saline-alkaline stress. Sci. Hortic. 2024, 329, 112973. [Google Scholar] [CrossRef]
  36. Goodstein, D.M.; Shu, S.; Howson, R.; Neupane, R.; Hayes, R.D.; Fazo, J.; Mitros, T.; Dirks, W.; Hellsten, U.; Putnam, N. Phytozome: A comparative platform for green plant genomics. Nucleic Acids Res. 2012, 40, D1178–D1186. [Google Scholar] [CrossRef]
  37. Chen, C.; Wu, Y.; Li, J.; Wang, X.; Zeng, Z.; Xu, J.; Liu, Y.; Feng, J.; Chen, H.; He, Y. TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining. Mol. Plant 2023, 16, 1733–1742. [Google Scholar] [CrossRef]
  38. Hu, B.; Jin, J.; Guo, A.-Y.; Zhang, H.; Luo, J.; Gao, G. GSDS 2.0: An upgraded gene feature visualization server. Bioinformatics 2015, 31, 1296–1297. [Google Scholar] [CrossRef]
  39. Bailey, T.L.; Boden, M.; Buske, F.A.; Frith, M.; Grant, C.E.; Clementi, L.; Ren, J.; Li, W.W.; Noble, W.S. MEME SUITE: Tools for motif discovery and searching. Nucleic Acids Res. 2009, 37, W202–W208. [Google Scholar] [CrossRef]
  40. Gasteiger, E.; Gattiker, A.; Hoogland, C.; Ivanyi, I.; Appel, R.D.; Bairoch, A. ExPASy: The proteomics server for in-depth protein knowledge and analysis. Nucleic Acids Res. 2003, 31, 3784–3788. [Google Scholar] [CrossRef]
  41. Horton, P.; Park, K.-J.; Obayashi, T.; Fujita, N.; Harada, H.; Adams-Collier, C.; Nakai, K. WoLF PSORT: Protein localization predictor. Nucleic Acids Res. 2007, 35, W585–W587. [Google Scholar] [CrossRef]
  42. Krogh, A.; Larsson, B.; Von Heijne, G.; Sonnhammer, E.L. Predicting transmembrane protein topology with a hidden Markov model: Application to complete genomes. J. Mol. Biol. 2001, 305, 567–580. [Google Scholar] [CrossRef]
  43. Kumar, S.; Stecher, G.; Suleski, M.; Sanderford, M.; Sharma, S.; Tamura, K. MEGA12: Molecular Evolutionary Genetic Analysis version 12 for adaptive and green computing. Mol. Biol. Evol. 2024, 41, msae263. [Google Scholar] [CrossRef] [PubMed]
  44. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v5: An online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021, 49, W293–W296. [Google Scholar] [CrossRef] [PubMed]
  45. Waterhouse, A.; Bertoni, M.; Bienert, S.; Studer, G.; Tauriello, G.; Gumienny, R.; Heer, F.T.; de Beer, T.A.P.; Rempfer, C.; Bordoli, L. SWISS-MODEL: Homology modelling of protein structures and complexes. Nucleic Acids Res. 2018, 46, W296–W303. [Google Scholar] [CrossRef] [PubMed]
  46. Lescot, M.; Déhais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouzé, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef]
  47. Yang, H.; Fang, Y.; Liang, Z.; Qin, T.; Liu, J.; Liu, T. Polyamines: Pleiotropic molecules regulating plant development and enhancing crop yield and quality. Plant Biotechnol. J. 2024, 22, 3194–3201. [Google Scholar] [CrossRef]
  48. Michael, A.J. Biosynthesis of polyamines and polyamine-containing molecules. Biochem. J. 2016, 473, 2315–2329. [Google Scholar] [CrossRef]
  49. Alcázar, R.; Cuevas, J.C.; Patron, M.; Altabella, T. Abscisic acid modulates polyamine metabolism under water stress in Arabidopsis thaliana. Physiol. Plant. 2006, 128, 448–455. [Google Scholar] [CrossRef]
  50. Liu, H.; Dong, B.; Zhang, Y.; Liu, P.; Liu, L. Relationship between osmotic stress and the levels of free, conjugated and bound polyamines in leaves of wheat seedlings. Plant Sci. 2004, 166, 1261–1267. [Google Scholar] [CrossRef]
  51. Takahashi, Y.; Uemura, T.; Teshima, Y. Polyamine oxidase 2 is involved in regulating excess spermidine contents during seed germination and early seedling development in Arabidopsis thaliana. Biochem. Biophys. Res. Commun. 2019, 516, 1248–1251. [Google Scholar] [CrossRef]
  52. Nambeesan, S.; Datsenka, T.; Ferruzzi, M.G.; Malladi, A.; Mattoo, A.K.; Handa, A.K. Overexpression of yeast spermidine synthase impacts ripening, senescence and decay symptoms in tomato. Plant J. 2010, 63, 836–847. [Google Scholar] [CrossRef]
  53. Ahmed, S.; Ariyaratne, M.; Patel, J.; Howard, A.E.; Kalinoski, A.; Phuntumart, A.; Morris, P.F. Altered expression of polyamine transporters reveals a role for spermidine in the timing of flowering and other developmental response pathways. Plant Sci. 2017, 258, 146–155. [Google Scholar] [CrossRef]
  54. Zhu, J.K. Salt and drought stress signal transduction in plants. Annu. Rev. Plant Biol. 2002, 53, 247–273. [Google Scholar] [CrossRef] [PubMed]
  55. Lunde, C.; Drew, D.P.; Jacobs, A.K.; Tester, M. Exclusion of Na+ via sodium ATPase (PpENA1) ensures normal growth of Physcomitrella patens under moderate salt stress. Plant Physiol. 2007, 144, 1786–1796. [Google Scholar] [CrossRef]
  56. Neily, M.H.; Baldet, P.; Arfaoui, I.; Saito, T.; Li, Q.L.; Asamizu, E.; Matsukura, C.; Moriguchi, T.; Ezura, H. Overexpression of apple spermidine synthase 1 (MdSPDS1) leads to significant salt tolerance in tomato plants. Plant Biotechnol. 2011, 28, 33–42. [Google Scholar] [CrossRef]
  57. Shi, H.; Quintero, F.J.; Pardo, J.M.; Zhu, J.K. The putative plasma membrane Na+/H+ antiporter SOS1 controls long-distance Na+ transport in plants. Plant Cell 2002, 14, 465–477. [Google Scholar] [CrossRef]
  58. Liu, Y.; Liang, H.; Lv, X.; Liu, D.; Wen, X.; Liao, Y. Effect of polyamines on the grain filling of wheat under drought stress. Plant Physiol. Biochem. 2016, 100, 113–129. [Google Scholar] [CrossRef] [PubMed]
  59. Capell, T.; Bassie, L.; Christou, P. Modulation of the polyamine biosynthetic pathway in transgenic rice confers tolerance to drought stress. Proc. Natl. Acad. Sci. USA 2004, 101, 9909–9914. [Google Scholar] [CrossRef]
  60. Cruz de Carvalho, M.H. Drought stress and reactive oxygen species: Production, scavenging and signaling. Plant Signal. Behav. 2008, 3, 156–165. [Google Scholar] [CrossRef]
  61. Hasanuzzaman, M.; Raihan, M.D.; Masud, A.; Rahman, K.; Nowroz, F.; Rahman, M.; Nahar, K.; Fujita, M. Regulation of reactive oxygen species and antioxidant defense in plants under salinity. Int. J. Mol. Sci. 2021, 22, 9326. [Google Scholar] [CrossRef] [PubMed]
  62. Li, X.; Zhang, W.; Niu, D.; Liu, X. Effects of abiotic stress on chlorophyll metabolism. Plant Sci. 2024, 342, 112030. [Google Scholar] [CrossRef]
  63. Wahid, A.; Gelani, S.; Ashraf, M.; Foolad, M. Heat tolerance in plants: An overview. Environ. Exp. Bot. 2007, 61, 199–223. [Google Scholar] [CrossRef]
  64. Tuteja, N. Abscisic acid and abiotic stress signaling. Plant Signal. Behav. 2007, 2, 135–138. [Google Scholar] [CrossRef]
  65. Wen, X.; Ban, Y.; Inoue, H.; Matsuda, N.; Moriguchi, T. Aluminum tolerance in a spermidine synthase-overexpressing transgenic European pear is correlated with the enhanced level of spermidine via alleviating oxidative status. Environ. Exp. Bot. 2009, 66, 471–478. [Google Scholar] [CrossRef]
  66. Tian, W.; Zhu, X.; Song, W.; Cheng, W.; Xue, F.; Zhu, H. Ectopic expression of S-adenosylmethionine decarboxylase (GhSAMDC1) in cotton enhances salt tolerance in Arabidopsis thaliana. Acta Agron. Sin. 2019, 45, 1017–1028. [Google Scholar] [CrossRef]
  67. Zhou, R.; Hu, Q.; Pu, Q.; Chen, M.; Zhu, X.; Gao, C.; Zhou, G.; Liu, L.; Wang, Z.; Yang, J.; et al. Spermidine enhanced free polyamine levels and expression of polyamine biosynthesis enzyme gene in rice spikelets under heat tolerance before heading. Sci. Rep. 2020, 10, 8976. [Google Scholar] [CrossRef]
  68. Fu, X.; Chen, C.; Wang, Y.; Liu, J.; Moriguchi, T. Ectopic expression of MdSPDS1 in sweet orange (Citrus sinensis Osbeck) reduces canker susceptibility: Involvement of H2O2 production and transcriptional alteration. BMC Plant Biol. 2011, 11, 55. [Google Scholar] [CrossRef]
  69. Majumdar, R.; Barchi, B.; Turlapati, S.A.; Gagne, M.; Minocha, R.; Long, S.; Minocha, S. Glutamate, ornithine, arginine, proline, and polyamine metabolic interactions: The pathway is regulated at the post-transcriptional level. Front. Plant Sci. 2016, 7, 78. [Google Scholar] [CrossRef]
  70. Mattoo, A.K.; Fatima, T.; Upadhyay, R.K.; Handa, A.K. Polyamines in plants: Biosynthesis from arginine, and metabolic, physiological and stress-response roles. In Amino Acids in Higher Plants; CAB International: Wallingford, UK, 2015; pp. 177–194. [Google Scholar] [CrossRef]
Figure 1. (A) The phylogenetic tree is constructed using MEGA 12 software based on multiple sequence alignments, employing the maximum likelihood method with validated bootstrap parameters. Sl: tomato (S. lycopersicum); St: potato (Solanum tuberosum); Os: rice (Oryza sativa L.); Sm: eggplant (Solanum melongena); At: Arabidopsis (Arabidopsis thaliana). (B) SlSPDS gene promoter cis-acting element prediction. Transcriptional elements were predicted using the PlantCARE database and visualized with TBtools. (C) Subcellular localization of the SlSPDS1-4 genes. Confocal Microscope images showing the subcellular distribution of GFP-tagged SlSPDS proteins as well as the control group (pG1300).
Figure 1. (A) The phylogenetic tree is constructed using MEGA 12 software based on multiple sequence alignments, employing the maximum likelihood method with validated bootstrap parameters. Sl: tomato (S. lycopersicum); St: potato (Solanum tuberosum); Os: rice (Oryza sativa L.); Sm: eggplant (Solanum melongena); At: Arabidopsis (Arabidopsis thaliana). (B) SlSPDS gene promoter cis-acting element prediction. Transcriptional elements were predicted using the PlantCARE database and visualized with TBtools. (C) Subcellular localization of the SlSPDS1-4 genes. Confocal Microscope images showing the subcellular distribution of GFP-tagged SlSPDS proteins as well as the control group (pG1300).
Cells 15 00533 g001
Figure 2. Expression patterns of tomato SlSPDS1-4 genes under temperature stress: (A) high-temperature stress; (B) low-temperature stress. The figure displays the temporal expression characteristics of SlSPDS1-4 genes under two temperature stress conditions. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the 0 h control.
Figure 2. Expression patterns of tomato SlSPDS1-4 genes under temperature stress: (A) high-temperature stress; (B) low-temperature stress. The figure displays the temporal expression characteristics of SlSPDS1-4 genes under two temperature stress conditions. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the 0 h control.
Cells 15 00533 g002
Figure 3. Expression patterns of tomato SlSPDS1-4 genes under osmotic stress: (A) drought stress; (B) salt stress. The figure displays the temporal expression characteristics of SlSPDS1-4 genes under osmotic stress. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05) when comparing with the 0 h control.
Figure 3. Expression patterns of tomato SlSPDS1-4 genes under osmotic stress: (A) drought stress; (B) salt stress. The figure displays the temporal expression characteristics of SlSPDS1-4 genes under osmotic stress. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05) when comparing with the 0 h control.
Cells 15 00533 g003
Figure 4. Expression patterns of tomato SlSPDS1-4 genes under ABA stress: (A) SlSPDS1, (B) SlSPDS2, (C) SlSPDS3, (D) SlSPDS4. The figure illustrates the temporal expression characteristics of SlSPDS1-4 genes under ABA stress. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the 0 h control.
Figure 4. Expression patterns of tomato SlSPDS1-4 genes under ABA stress: (A) SlSPDS1, (B) SlSPDS2, (C) SlSPDS3, (D) SlSPDS4. The figure illustrates the temporal expression characteristics of SlSPDS1-4 genes under ABA stress. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the 0 h control.
Cells 15 00533 g004
Figure 5. Determination of biogenic amine content in SlSPDS1-4 gene-overexpressing tomato leaves. The contents of (A) spermidine (Spd), (B) spermine (Spm), (C) putrescine (Put), (D) tyramine (Tyr), (E) tryptamine (Ta), and (F) phenethylamine (Pea) were determined by liquid chromatography. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the control.
Figure 5. Determination of biogenic amine content in SlSPDS1-4 gene-overexpressing tomato leaves. The contents of (A) spermidine (Spd), (B) spermine (Spm), (C) putrescine (Put), (D) tyramine (Tyr), (E) tryptamine (Ta), and (F) phenethylamine (Pea) were determined by liquid chromatography. The error bar represents the standard deviation of three biological replicates and three technical replicates. Statistical significance was determined by one-way ANOVA and marked with an asterisk (e.g., * indicates p < 0.05, ** indicates p < 0.01) when comparing with the control.
Cells 15 00533 g005
Figure 6. Phenotypes and DAB staining analysis of OE-SlSPDS transgenic tomato seedlings under 20% PEG6000 treatment. (A) Whole-plant phenotypes of the four-week-old five-leaf-stage OE-SlSPDS transgenic tomato seedlings under control conditions and 20% PEG6000 treatment for 10 days. (B) DAB staining analysis of the four-week-old five-leaf stage OE-SlSPDS transgenic tomato seedlings under 20%PEG treatment. Representative images from three biological replicates are shown.
Figure 6. Phenotypes and DAB staining analysis of OE-SlSPDS transgenic tomato seedlings under 20% PEG6000 treatment. (A) Whole-plant phenotypes of the four-week-old five-leaf-stage OE-SlSPDS transgenic tomato seedlings under control conditions and 20% PEG6000 treatment for 10 days. (B) DAB staining analysis of the four-week-old five-leaf stage OE-SlSPDS transgenic tomato seedlings under 20%PEG treatment. Representative images from three biological replicates are shown.
Cells 15 00533 g006
Figure 7. Changes in relative chlorophyll content in the fourth-to-fifth functional leaves of four-week-old, five-leaf-stage OE-SlSPDS1-4 transgenic and WT tomato plants under detached treatment with 200 mM NaCl. (A) OE-SlSPDS1 (B) OE-SlSPDS2 (C) OE-SlSPDS3 (D) OE-SlSPDS4. Data are presented as the mean ± standard deviation (SD) of three biological replicates with four leaves per replicate.
Figure 7. Changes in relative chlorophyll content in the fourth-to-fifth functional leaves of four-week-old, five-leaf-stage OE-SlSPDS1-4 transgenic and WT tomato plants under detached treatment with 200 mM NaCl. (A) OE-SlSPDS1 (B) OE-SlSPDS2 (C) OE-SlSPDS3 (D) OE-SlSPDS4. Data are presented as the mean ± standard deviation (SD) of three biological replicates with four leaves per replicate.
Cells 15 00533 g007
Figure 8. Phenotypes and DAB staining analysis of OE-SlSPDS transgenic tomato seedlings under 350 mM NaCl treatment. (A) Whole-plant phenotypes of the four-week-old five-leaf-stage OE-SlSPDS transgenic tomato seedlings under control conditions and 350 mM NaCl treatment for 10 days. (B) DAB staining analysis of H2O2 accumulation in leaves of four-week-old, five-leaf stage tomato seedlings (OE-SlSPDS transgenic lines) under 350 mM NaCl stress. Three independent biological replicates were conducted for each target gene, and representative images are presented.
Figure 8. Phenotypes and DAB staining analysis of OE-SlSPDS transgenic tomato seedlings under 350 mM NaCl treatment. (A) Whole-plant phenotypes of the four-week-old five-leaf-stage OE-SlSPDS transgenic tomato seedlings under control conditions and 350 mM NaCl treatment for 10 days. (B) DAB staining analysis of H2O2 accumulation in leaves of four-week-old, five-leaf stage tomato seedlings (OE-SlSPDS transgenic lines) under 350 mM NaCl stress. Three independent biological replicates were conducted for each target gene, and representative images are presented.
Cells 15 00533 g008
Table 1. Analysis of tomato spermidine family members and physicochemical properties.
Table 1. Analysis of tomato spermidine family members and physicochemical properties.
Gene NameGene IDpIMolecular
Weight (Da)
ORF Length (bp)Number of Amino Acids (aa)Instability IndexAliphatic
Index
Grand Average of HydrophathicityAmino Acid Length (aa)Subcellular
Localization
SlSPDS1Solyc03g007240.2.15.6139,261.13107135639.5988.37−0.082357cytoplasm
SlSPDS2Solyc04g026030.2.15.2334,201.9793030949.6487.28−0.121310cytoplasm
SlSPDS3Solyc05g005710.2.14.8137,678.9028534256.1884.62−0.16095cytoplasm
SlSPDS4Solyc06g053520.2.15.0935,098.3995131633.9792.440.034317cytoplasm
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.

Share and Cite

MDPI and ACS Style

Cheng, L.; Zhang, J.; Lin, C.; Wang, W.; Huang, S.; Yang, L.; Li, J.; Guo, X.; Yu, X. Functional Analysis of Tomato SPDS in Response to Osmotic Stress. Cells 2026, 15, 533. https://doi.org/10.3390/cells15060533

AMA Style

Cheng L, Zhang J, Lin C, Wang W, Huang S, Yang L, Li J, Guo X, Yu X. Functional Analysis of Tomato SPDS in Response to Osmotic Stress. Cells. 2026; 15(6):533. https://doi.org/10.3390/cells15060533

Chicago/Turabian Style

Cheng, Lilan, Jingling Zhang, Chenyu Lin, Wenjuan Wang, Siyuan Huang, Liyun Yang, Jie Li, Xin Guo, and Xiaohui Yu. 2026. "Functional Analysis of Tomato SPDS in Response to Osmotic Stress" Cells 15, no. 6: 533. https://doi.org/10.3390/cells15060533

APA Style

Cheng, L., Zhang, J., Lin, C., Wang, W., Huang, S., Yang, L., Li, J., Guo, X., & Yu, X. (2026). Functional Analysis of Tomato SPDS in Response to Osmotic Stress. Cells, 15(6), 533. https://doi.org/10.3390/cells15060533

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