Startseite The DREB7 transcription factor enhances salt tolerance in soybean plants under salt stress
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The DREB7 transcription factor enhances salt tolerance in soybean plants under salt stress

  • Giang Thu Nguyen , Yen Thi Hai Nguyen , Hung Duc Nguyen , Mau Hoang Chu und Quan Huu Nguyen ORCID logo EMAIL logo
Veröffentlicht/Copyright: 20. August 2025

Abstract

DREB7 in Glycine max (L) is a novel trans-acting transcription factor (TF) that binds to the cis-acting sequences of promoters to activate the expression of downstream genes in response to abiotic factors. This study presents the experimental results and analyzes the relationship between the overexpression of the GmDREB7 and GmP5CS, as well as the proline content, in transgenic soybean lines. The results of qRT-PCR analysis of four TG1 transgenic soybean lines (TG1-2, TG1-5, TG1-7, and TG1-10) showed that the GmDREB7 gene had significantly higher transcriptional expression under untreated and salt stress conditions. Under salt stress conditions, the two transgenic lines, TG1-5 and TG1-10, had the most significant increase in GmDREB7 and GmP5CS gene expression levels, as well as the highest proline accumulation (P < 0.05). The in silico molecular docking analysis confirmed a specific interaction between the DREB7 protein and GmP5CS promoter. These findings demonstrate that overexpression of the gene encoding the TF DREB7 enhanced the transcription of the GmP5CS gene and increased proline accumulation in soybean plants under salt stress conditions. The GmDREB7 gene can be a promising candidate for enhancing salt tolerance in soybeans.

Graphical abstract

1 Introduction

Soybean [Glycine max (L.) Merr.] is an important food crop in many countries around the world. Soybean seeds provide protein and oil with high nutritional value. Soybean cultivation brings economic benefits and improves arable land [1,2]. However, in many areas, salinization of arable soil due to low precipitation, high evaporation rates, the use of chemical fertilizers, or rising sea levels has negatively impacted crops. Soil salinization is a serious problem that has a profoundly negative impact on agriculture. Excess salt adversely affects soil structure, fertility, crop growth, and yield, including soybean [3]. Soybeans respond to salt stress through the activity of some genes, including the dehydration response element binding (DREB) gene group, a group of transcription factors (TFs) that regulate downstream salt tolerance-related genes [4,5]. DREB proteins contain an AP2 domain of 58–60 amino acids. In the AP2 domain, 11 amino acids (binding DNA sites) bind to promoters of target genes in a downstream response to stress signals [6]. The TF DREB, a trans factor, regulates the expression of several genes responsive to drought and salt stress [7].

In soybeans, the DREB genes (Glycine max DR – GmDREB) can activate downstream genes in response to salt and drought stress [8]. Phang et al. [9] reported that the soybean genome has more than ten DREB genes: 73 DREB gene sequences have been identified in the G. max genome [4], and the results of phylogenetic analysis have formed six subgroups in the DREB genes in G. max. The DREB gene in soybeans has one exon and is unevenly distributed across the 19 chromosomes. At the same time, the authors identified 186 target genes in soybeans that play important roles in fructose and mannose metabolic pathways and were identified to be involved in the regulatory role of DREB proteins [4]. In the report analyzing DREB genes in wild soybean (Glycine soja) by Hou et al. [5], 56 DREB sequences of Arabidopsis thaliana were used as a query to search the Glycine max database, resulting in the identification of 103 DREB genes of the soybean genome. DREB genes are distributed on all soybean chromosomes. In the soybean DREB subfamily, the functions of several glycine max DREB (GmDREB) genes have been experimentally demonstrated. Overexpression of the GmDREB2 gene enhanced drought and salt tolerance in transgenic plants [10,11,12,13].

The GmDREB7 gene with ID 100101894, belonging to chromosome 20 of soybean, encodes dehydration-responsive element binding 7 (DREB7) protein, which was isolated and submitted to GenBank by Liu et al. [14]. Accordingly, the 624-bp DREB7 mRNA encodes a protein of 207 amino acids. The AP2 domain of the DREB7 protein contains 11 amino acids (RGRSKERRWT) that are DNA-binding sites [14]. Proline is an osmolyte, and proline accumulation in plants is due to environmental stresses. Experimental evidence suggests a positive correlation between proline accumulation and stress tolerance. Delta-1-pyrroline-5-carboxylate synthase (P5CS), a key enzyme involved in proline synthesis from glutamate precursors, has been shown to play an essential role in proline accumulation in plants under drought stress [15]. Using genetic transformation and gene overexpression techniques, P5CS has been shown to confer desiccation tolerance by enhancing cellular proline content [16].

Therefore, several members of the DREB gene subfamily in the soybean genome have been identified playing roles in responses to abiotic stresses. However, many of these genes, including GmDREB7, remain insufficiently studied. Thus, the objective of this study was to investigate the regulatory role of the GmDREB7 gene in modulating GmP5CS expression and proline accumulation in soybeans under salt stress through overexpression of the GmDREB7 gene.

2 Materials and methods

2.1 Materials

The Legumes Research and Development Center, Field Crops Research Institute, Vietnam, provided DT26 soybean seeds. Agrobacterium tumefaciens AGL1 containing the expression construct pBI121_DREB7 is kept at the School of Biology, Thai Nguyen University of Education, Vietnam.

The nucleotide sequences of primer pairs used for PCR and real-time reverse transcription polymerase chain reaction (RT-PCR) analysis are shown in Table 1.

Table 1

Sequences of primer pairs used for RT-PCR and qRT-PCR

Primers Sequence (5′−3′) Primer annealing temperature (°C)
GmDR-F/MYC-R ATGTTTTCCATCAATCATTTCTCC 58
AAGTTCATCCTTCAGGTCCTC 58
qRT-DREB7-F/qRT-DREB7-R TGCCGGAGTATCTGAGGAAC 61
CTGAGATCAGCTTCTGCTCC 61
qRT-P5CSF/qRT-P5CSR TGCTCGTGAGATGGCAGTTGC 60
AGCCTGTTGAGCAGCAACCAC 60
qRT-ActNF/qRT-ActNR GATCTTGCTGGTCGTGATCTT 60
GTCTCCAACTCTTGCTCATAGTC 60

2.2 Agrobacterium-mediated transformation of soybean

Genetic transformation of the pBI121_GmDREB7 construct into soybean via the cotyledon node by Agrobacterium, and the generation of transgenic soybean plants performed according to Olhoft et al. [17] and Yang et al. [18]. Cotyledons were collected from germinated soybean seeds and soaked in A. tumefaciens AGL1 solution containing the vector pBI121_DREB7. After 30 min, the infected cotyledons were transferred to a co-culture medium. The transformed explants were washed with 500 mg L−1 cefotaxime for 10 min, then blotted dry and cultured in the shoot induction medium (SIM – first time) with 50 mg L−1 kanamycin for 15 days to regenerate multiple shoots. Next, the transformed explants were transferred to SIM (second time), and 500 mg L−1 cefotaxime and 75 mg L−1 kanamycin were added and cultured for 15 days. The selected surviving shoots were transferred to a shoot elongation medium, and 500 mg L−1 cefotaxime and 50 mg L−1 kanamycin were added for shoot elongation. The well-grown shoots were selected for transferring the rooting medium (RM), and 250 mg L−1 cefotaxime and 50 mg L−1 kanamycin were added to the medium for root regeneration and complete soybean plant formation. Transgenic soybean plants that grow well were transferred to grow on substrates in greenhouses. Soybean plants regenerated from in vitro DREB7 gene-transformed explants grown on substrates are referred to as TG0 generation plants (TG0). Soybean plants germinated from seeds of TG0 plants are referred to as TG1 generation plants (TG1).

2.3 Confirmation of the insertion and expression of the GmDREB7 into the transformed soybean genome

Confirmation of the insertion of the GmDREB7 into the soybean genome: Total RNA was extracted from young leaves of transgenic and wild-type, non-transformed plants (WT) using a TrizolRIZOL kit, and cDNA was synthesized using a First Strand cDNA Synthesis Kit. The GmDREB7 gene with primer pair GmDR-F/Cmyc-R was amplified using the PCR. The expected size of the cloned GmDREB7 gene fragment is about 0.65 kb.

2.4 Analysis of transgenic soybean lines

Treatment of TG1 transgenic lines with salt stress: The seeds of TG0 plants germinated into TG1 plants and were grown in a greenhouse at an average temperature of 23°C (daytime) and 20°C (nighttime) with a photoperiod of 16 h. At the three-leaf stage (V3), TG1 and WT transgenic plants were treated with salt stress using NaCl. WT and TG1 transgenic plants were watered in the experimental group with 50 mL of NaCl (150 and 250 mM). The salinity treatment experiment was performed three times, with a 3-day interval between each trial. In the first treatment, the plants were watered with 150 mM NaCl solution, and in the second and third treatments, the plants were watered with 250 mM NaCl solution. In the control group, WT and TG1 transgenic plants were watered with 50 mL H2O/time three times, each time 3 days apart.

2.4.1 Analysis of the transcription level of GmDREB7 in transgenic soybean plants and WT plants

The expression levels of GmDREB7 and GmP5CS in transgenic soybean plants and WT plants in non-stressed and salt-stressed conditions were analyzed by real-time quantitative reverse transcription PCR (real-time qRT-PCR). The reference gene used in this analysis was SAc1 (GenBank: J01298.1). Real-time qRT-PCRs were performed in 20 μL, containing components such as primers, Master Mix, cDNA, and water. The thermal cycling of the real-time qRT-PCR consisted of 95°C (10 min), 40 cycles at 95°C (10 s), 58°C (10 s), and 72°C (20 s).

Real-time RT-PCR results were analyzed using Q-Rex version 1.0 (QIAGEN, Hilden, Germany). Transcription levels were calculated as R = 2−∆∆C t [19].

2.4.2 Proline content analysis in transgenic lines and WT plants

The proline amino acid content was determined and calculated according to Bates et al. [20] (μmol g−1 fresh weight).

2.5 Molecular docking analysis

2.5.1 Creation of PDB files of proteins and DNA

To construct docking models, the promoter sequence of the downstream gene GmP5CS was designed to include cis-regulatory elements DRE/CRT, ABRE, and GT-1 (Table 2), along with spacer regions to enhance structural stability. DNA models with varying bend angles in the β-DNA form were generated using Avogadro 1.2.0 [21]. The GmDREB7 sequence (GenBank accession: NM_001248108.2; Gene ID: 100101894) and the AP2 domain of the DREB7 protein were retrieved (Table 2). The 3D structure of this domain, based on its amino acid sequence, was predicted using AlphaFold [22].

Table 2

Characterization and sequences of the AP2 regions, DNA binding sites, promoter of GmDREB7, and cis-acting motifs in the promoter

Regions/domain/motif Sequences Description
AP2 YRGVRRRDSGKWVCEVREPNKKSRIWLGTFPTAEMAARAHDVAAIALRGRSACLNFADS The AP2 (APETALA2) domain of the DREB7 protein contains DNA binding sites
DNA binding sites RGRRSKERRWT DNA binding site (nucleotide-binding) includes 11 amino acids
Promoter of GmP5CS TTACCGACAGCCGCCTGGTTAACGTGTAACTGGCCGACGAAAAACATGTGAGCCGCC The sequence of cis-acting motifs of the promoter of the GmP5CS gene
DRE/CRT GCCGAC Abiotic stress-responsive: salt, cold, and drought
ABRE ACGTG ABA-responsive (ABA related to salt stress).
GT-1 GAAAAA/TGGTTA Salt stress-responsive

Molecular docking between the AP2 domain and the target promoter was conducted using HADDOCK. The resulting complexes were visualized and analyzed in Chimera 1.19 [23]. The analysis focused on hydrogen bonding, electrostatic interactions, and the interaction interface. The key interacting amino acid residues and nucleotide bases were identified. Binding energy and docking scores were assessed to estimate the stability of the proteinDNA complex.

2.6 Statistical analyses

SPSS software for Windows version 29.0.2.0 (Armonk, NY, USA) (IBM Corp) [24] was used to process data using a one-way variance method. LSD and Duncan’s test were used to compare of differences at α = 0.05 level.

3 Results

3.1 Genetic transformation of the pBI121_GmDREB7 construct into soybean and creation of transgenic plants

The pBI121_GmDREB7 construct was designed with the CaMV35S promoter, the coding region of the GmDREB7, and the sequences containing the cutting sites of the restriction enzymes. The GmDREB7 gene was synthesized based on the information from the GmDREB7 sequence of soybean with the accession number on GenBank NM_001248108.2. The GmDREB7 gene includes a coding region of 624 bp, the c-MYC antigen coding sequence (33 bp), the KDEL fragment (12 bp), and the restriction enzyme cutting sites XbaI, BamHI, XmaI, and SacI (Figure 1).

Figure 1 
                  The designed and synthesized GmDREB7 sequence contains the coding region, the XbaI and BamHI cutting sites at the 5′-end, and the SacI at the 3′-end.
Figure 1

The designed and synthesized GmDREB7 sequence contains the coding region, the XbaI and BamHI cutting sites at the 5′-end, and the SacI at the 3′-end.

The pBI121_DREB7 vector contains the KanR gene, encoding the neomycin-phospho-transferase II (nptII) (Figure 2).

Figure 2 
                  Schematic diagram of the pBI121_GmDREB7 construct. LB: left T-DNA border; RB: right T-DNA border; CaMV35S: Cauliflower mosaic virus 35S promoter; GmDREB7: coding region of the GmDREB7gene; Noster: transcription terminator sequence; Hind III and EcoRI: cleavage sites of these restriction enzymes; GmDR-F: forward primer, MYC-R: reverse primer and primer pair GmDR-F/MYC-R was used to amplify the GmDREB7 transgene.
Figure 2

Schematic diagram of the pBI121_GmDREB7 construct. LB: left T-DNA border; RB: right T-DNA border; CaMV35S: Cauliflower mosaic virus 35S promoter; GmDREB7: coding region of the GmDREB7gene; Noster: transcription terminator sequence; Hind III and EcoRI: cleavage sites of these restriction enzymes; GmDR-F: forward primer, MYC-R: reverse primer and primer pair GmDR-F/MYC-R was used to amplify the GmDREB7 transgene.

DT26 soybean seeds were germinated on a murashige and Skoog medium (MS), and cotyledons were collected to use as the material to receive the gene. The pBI121_GmDREB7 construct was transformed into a DT26 soybean cultivar through the cotyledon axils by infection with A. tumefaciens (Figure S1). From 90 transformed cotyledon fragments, in vitro regeneration and kanamycin selection resulted in 18 healthy shoots, which were transferred to the RM. Ten plants in the TG0 transgenic generation (TG) that grew well were selected and planted on substrates in a greenhouse. In the control group, 20 cotyledons were not transformed, shoots were regenerated, and non-transformation soybean plants (wild type: WT plants) were created. These plants were grown in an environment without the use of selective antibiotics. Eight plants that grew well were selected and planted on substrates in a greenhouse.

3.2 Results of the analysis of transgenic soybean plants

The results of the analysis of ten plants transformed with the GmDREB7 gene in the TG0 generation and WT plants by RT-PCR with the primers GmDR-F/MYC-R are shown in Figure S2. The electrophoresis image of the RT-PCR products shows that nine TG0 plants are positive for RT-PCR (TG0-1, TG0-2, TG0-3, TG0-4, TG0-5, TG0-6, TG0-7, TG0-9, and TG0-10) with a DNA band of about 0.65 kb in size, as theoretically calculated. TG0-9 plants and WT plants do not have a DNA band. This result confirmed that the construct carrying the GmDREB7 gene has integrated into the genome of nine TG0 transgenic soybean plants and shows transcriptional activity.

Monitoring the growth and development of nine transgenic plants in the TG0 generation with positive RT-PCR results showed that seven plants flowered and produced fruits (TG0-2, TG0-3, TG0-4, TG0-5, TG0-6, TG0-7, TG0-10). However, only the fruits of four TG0 plants, TG0-2, TG0-5, TG0-7, and TG0-10, produced seeds; the remaining plants, TG0-3, TG0-4, and TG0-6, produced empty fruits and did not produce seeds. The seeds of four TG0 plants (TG0-2, TG0-5, TG0-7, and TG0-10) were germinated and grown in a greenhouse to produce four TG1 transgenic lines, namely TG1-2, TG1-5, TG1-7, and TG1-10. Salt stress treatment of TG1 transgenic lines and WT plants with NaCl from 150 to 250 mM yielded, with the first irrigation, 50 mL of 150 mM NaCl, and the second and third irrigations, 50 mL of 250 mM NaCl (Figure S3).

Observing the morphology of the plants after 2 days of each salinity treatment showed that, in the first treatment, the morphology of WT plants and transgenic lines did not show any morphological expression due to the impact of 150 mM NaCl (Figure S3a). However, the second treatment (Figure S3b) with 250 mM NaCl affected the morphology of transgenic soybean plants and WT plants, and the most substantial effect was after the third treatment (Figure S3c). In Figure 3c, WT plants and TG1-7 soybean lines showed the most evident signs of water loss due to salinity stress.

Figure 3 
                  The diagram compares the transcription levels of the GmDREB7 gene by real-time RT-PCR in WT and TG1 generation transgenic soybean lines under untreated and salt-treated conditions, using 50 mL of 250 mM NaCl after 2 days of the second treatment. (a) The graph shows the transcription levels of GmDREB7 in transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of transcription levels of GmDREB7 in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). The reference gene used in real-time RT-PCR analysis was SAc1 (Actin); WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.
Figure 3

The diagram compares the transcription levels of the GmDREB7 gene by real-time RT-PCR in WT and TG1 generation transgenic soybean lines under untreated and salt-treated conditions, using 50 mL of 250 mM NaCl after 2 days of the second treatment. (a) The graph shows the transcription levels of GmDREB7 in transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of transcription levels of GmDREB7 in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). The reference gene used in real-time RT-PCR analysis was SAc1 (Actin); WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.

WT plants and TG1 transgenic soybean lines after 2 days of the second treatment with 50 mL of 250 mM NaCl (Figure S3b) were selected to analyze the GmDREB7 gene expression level of the transgenic lines and WT by real-time RT-PCR. The leaves of WT and transgenic soybeans in the TG1 generation were used to extract total RNA, generate cDNA, and analyze the transcription level of the GmDREB7 of WT plants and four transgenic lines by real-time RT-PCR with the primer pair qRT-DREB7-F/qRT-DREB7-R; the results are shown in Figure 3. In Figure 3, all transgenic soybean lines exhibited higher transcription levels of the GmDREB7 gene compared to WT plants. Under salt stress conditions, after salinity treatment with 250 mM NaCl, the transgenic soybean lines TG1-5 and TG1-10 had the strongest and highest transcription levels compared to those under non-salinity treatment conditions (P < 0.05).

The amino acid proline is an osmolyte; increasing the proline content will increase the water retention capacity of the cell, and the plant will be resistant to salt stress. Therefore, this study continues to investigate the relationship between the overexpression of the GmDREB7 gene and the transcription of the gene encoding the key enzyme P5CS, an enzyme involved in proline synthesis, in transgenic lines and WT plants under salt stress and normal conditions. The results of analyzing the transcription level of the GmP5CS gene of the GmDREB7 transgenic lines and WT plants showed that the two transgenic lines, TG1-5 and TG1-10, had higher expression levels than WT plants and higher than in non-salt-treated conditions with P < 0.05 (Figure 4).

Figure 4 
                  The diagram compares GmP5CS gene transcription levels in four TG1 generation transgenic soybean lines and wild-type plants using real-time RT-PCR. (a) The graph shows the transcription levels of GmP5CS in transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of transcription levels of GmP5CS in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). The reference gene used in real-time RT-PCR analysis was SAc1 (Actin); WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.
Figure 4

The diagram compares GmP5CS gene transcription levels in four TG1 generation transgenic soybean lines and wild-type plants using real-time RT-PCR. (a) The graph shows the transcription levels of GmP5CS in transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of transcription levels of GmP5CS in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). The reference gene used in real-time RT-PCR analysis was SAc1 (Actin); WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.

The proline content of four transgenic soybean lines, TG1-2, TG1-5, TG1-7, TG1-10, and WT plants under untreated and salt stress conditions with 50 mL of 250 mM NaCl was analyzed, and the results are presented in Figure 5.

Figure 5 
                  The diagram compares the proline content of the TG1 generation transgenic soybean lines with that of the WT plants. (a) The graph shows the proline content of transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of proline content in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.
Figure 5

The diagram compares the proline content of the TG1 generation transgenic soybean lines with that of the WT plants. (a) The graph shows the proline content of transgenic soybean lines compared to WT plants under non-treatment and salt stress treatment (P < 0.05). (b) and (c) Comparison chart of proline content in TG1-5 and TG1-10 transgenic soybean lines between salt stress treatment and untreated conditions (P < 0.05). WT: wild-type, non-transgenic plants; TG1-2, TG1-5, TG1-7, and TG1-10: transgenic lines in TG1 generation. The * symbols above the columns of the graph represent statistically significant differences at P < 0.05. Bars display geometric means, and error bars represent geometric standard deviation (SD). Dots represent individual samples.

The results in Figure 5 showed that the GmDREB7 transgenic lines and WT plants had higher proline content than untreated conditions (Figure 5a) and increased from 135.29 to 211.35% (Table S1). The proline content in transgenic lines was higher than in WT plants and increased from 136.59 to 267.03%. Among the transgenic soybean lines, lines TG1-5 and TG1-10 had the highest proline contents, 7.37 ± 0.05 (μmol/g) and 6.89 ± 0.09 (μmol/g), respectively (P < 0.05) (Table S1), and the proline content of the two transgenic lines under salt stress conditions was both higher than under untreated conditions (Figure 5b and c). These results suggested that the GmDREB7 transgenic soybean lines may have had higher salt tolerance than WT plants, and lines TG1-5 and TG1-10 had the highest salt tolerance among the transgenic soybean lines in this study.

3.3 Docking between the AP2 region of the DREB7 protein and the promoter regions of the GmP5CS

To confirm the interaction between the AP2 domain of the DREB7 protein and the promoter of the GmP5CS gene, an in silico molecular docking analysis was conducted. The AP2 region of DREB7 comprises 59 amino acids, including an 11-amino-acid DNA-binding domain. The GmP5CS promoter contains DRE/CRT, ABRE, and GT-1 motifs, which are associated with responses to abiotic stresses such as drought and salinity (Table 2). The predicted interaction model between the AP2 domain and the GmP5CS promoter is illustrated in Figure 6.

Figure 6 
                  Docking model of the AP2 domain and its hydrogen bonding interactions with the target DNA (GmP5CS promoter). (a) The top-ranked docking model, selected based on the highest HADDOCK score, highlights conserved AP2 motifs involved in DNA binding. (b) Hydrogen bond network between AP2 amino acid residues and the major and minor grooves of the target DNA. The α-helix and β-sheet regions of AP2 are shown in royal blue and light blue, respectively, while the DNA double helix is colored orange.
Figure 6

Docking model of the AP2 domain and its hydrogen bonding interactions with the target DNA (GmP5CS promoter). (a) The top-ranked docking model, selected based on the highest HADDOCK score, highlights conserved AP2 motifs involved in DNA binding. (b) Hydrogen bond network between AP2 amino acid residues and the major and minor grooves of the target DNA. The α-helix and β-sheet regions of AP2 are shown in royal blue and light blue, respectively, while the DNA double helix is colored orange.

Hydrogen bonds (H-bonds) are critical for the affinity and specificity of the AP2DNA interaction. As shown in Figure 6b, the DNA-binding residues of the AP2 domain, including ARG2, GLY3, ARG5, ARG7, TRP9, LYS11, GLU15, ARG17, ARG24, TRP26, and THR29, form H-bonds with the promoter region containing cis-acting elements at DRE/CRT and GT-1 motifs, including DG10, DC11, DC12, DG13, DC14, DT16, and DG17. These findings confirm the binding of the DREB7 AP2 domain to the GmP5CS promoter. Detailed docking parameters are provided in Table 3.

Table 3

Docking scores and binding energy parameters for AP2–GmP5CS promoter complexes

Docking properties AP2–GmP5CS promoter complex
Binding score (kcal/mol) −83.8 ± −6.2
RMSD from the overall lowest-energy structure 6.0 ± 0.1
van der Waals energy −35.5 ± 9.6
Electrostatic energy −331.6 ± −24.4
Desolvation energy 11.2 ± 1.0
Restraints violation energy 68.1 ± 25.9
Buried surface area 1267.2 ± 71.6
Z-score −2.2

Table 3 presents docking parameters for the AP2–GmP5CS promoter complex, highlighting markedly negative binding energy (−83.8 ± 6.2 kcal/mol), which reflects strong binding affinity between the AP2 domain of the DREB7 protein and the GmP5CS promoter. The relatively small standard deviation (±6.2 kcal/mol) suggests consistent binding energy across docking conformations. The van der Waals energy (−35.5 ± 9.6 kcal/mol) indicates favorable intermolecular interactions that contribute to complex stability. A large buried surface area (1267.2 ± 71.6 Ų) suggests extensive molecular contact between AP2 and the DNA, supporting tight binding. The root mean square deviation (RMSD) of 6.0 ± 0.1 Å reflects proximity to the lowest-energy conformation, with the low standard deviation (±0.1 Å), indicating high structural consistency among docking models. The negative Z-score (−2.2) suggests that the binding energy is significantly lower than that of randomly generated complexes, confirming the specificity and statistical significance of the interaction. These results confirmed the specific interaction between the DREB7 protein and the GmP5CS promoter based on in silico molecular docking analysis.

4 Discussion

Abiotic stress conditions adversely affect plants, and DREB TFs are essential regulators of this stress response [25,26,27,28,29]. Plants, including soybeans, always face adverse abiotic impacts such as drought and saline soil, and soybeans’ positive response is reflected in increased gene expression when environmental stress signals occur. Salt stress is recognized as one of the most detrimental factors affecting crop productivity, primarily due to its induction of both osmotic imbalance and ion toxicity. Soybean exhibits moderate sensitivity to salinity, with yield reductions reaching up to 40%, depending on salt concentration levels [30]. In a comparative evaluation of over 20 soybean cultivars, an increase in salinity from 2 to 7 dS/m resulted in an approximate 40% decline in yield. Field-based assessments further revealed that salt-sensitive genotypes experienced up to 37% greater yield loss compared to salt-tolerant counterparts under similar saline conditions [31]. Additionally, in the “Williams” variety, salinity stress was found to reduce seed protein and oil content by as much as 39% [30].

Functional and regulatory genes involved in abiotic stresses, major abiotic stress signals, and plant signaling pathways were investigated [32]. Transcriptome, sRNAome, degradome, and expression analysis of TF genes involved in plant responses to abiotic stresses are also interesting [33,34]. DREB protein is a TF that has been identified to have the ability to activate and enhance the transcription of downstream genes [4,5]. The DREB1, DREB2, and DREB6 genes of soybeans are closely related to the response to cold, drought, and salinity stress [11,12,35]. Overexpression of DREB1 in soybeans has resulted in drought tolerance, enhanced root system, and delayed senescence of transgenic leaves [36]. Upon receiving external abiotic stress signals, the transcriptional activity of the DREB2 and DREB6 genes is enhanced, resulting in increased proline accumulation and enhanced drought and salt tolerance in transgenic soybean plants [11,12,13]. In a previous study, the expression of the soybean DREB7 gene was analyzed to determine its association with two genes, RD29A and SODFe, in DREB7 transgenic tobacco plants under both normal (untreated) and salt stress conditions. In the previous study, the expression of the soybean DREB7 gene was analyzed, determining the association with two genes, RD29A and SODFe, in DREB7 transgenic tobacco plants under normal (untreated) and salt stress conditions. Overexpression of the soybean GmDREB7 under salt stress conditions reduced the transcription levels of the two tobacco genes RD29A and SODFe [37]. In this study, the function of the GmDREB7 gene continues to be investigated in soybean plants in non-stressed and salt-stressed environments. Overexpression of the GmDREB7 gene in soybean plants was demonstrated by increased mRNA transcription, as evidenced by quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) values in transgenic lines, which were higher than those in WT plants under both untreated and salt stress conditions with 250 mM NaCl. When there was a salt stress signal, the response of soybean plants was shown by the higher transcription levels of transgenic lines than WT plants, and the GmDREB7 gene was transcribed most strongly in the two lines TG1-5 and TG1-10, with P < 0.5 (Figure 4). This result was also found in some reports analyzing the transcriptional expression levels of the GmDREB2 and GmDREB6 genes under drought and salt stress conditions [11,12,13].

Proline plays various roles in plant growth, development, and physiology. It is synthesized in adaptive responses to external stresses. Proline, a critical osmolyte and antioxidant, plays a vital role in regulating abiotic stress tolerance in plants, especially its key biosynthetic enzyme, P5CS, which is always positively responsive to drought and salinity stress. High proline plant accumulation is often correlated with abiotic stress factors such as salinity and drought [38,39].

Under salt stress conditions, proline accumulation increases in the cytoplasm and participates in osmotic adjustment, thereby enhancing the cells’ water retention ability and increasing the plant’s tolerance to drought and salt [15,40]. In this study, the expression of the gene encoding the enzyme P5CS under salt stress signals was most evident in the two lines TG1-5 and TG1-10 (P < 0.05) (Figure 5). Under salt stress conditions, the increase in proline accumulation, caused by the increased transcriptional expression of the GmP5CS in soybean, as determined, was increased from 135.29 to 211.35% compared to the non-salt stress conditions. The proline content in the DREB7 transgenic lines increased from 136.59 to 267.03% compared to the WT plants (Table S1). Several studies on potato, common bean, and soybean have also experimentally demonstrated the association between GmP5CS gene transcriptional enhancement and proline content [11,12,41,42,43]. In this study, it can be hypothesized that the TF DREB7 in soybean, through its conserved DNA-binding sequence RGRRSKERRWT within the AP2/ERF domain, is capable of interacting with the GCC motif in the promoter region of the GmP5CS gene, a gene essential in the proline biosynthesis pathway under stress conditions.

The amino acids in the sequence RGRRSKERRWT, particularly the positively charged residues such as arginine (R) and lysine (K), are characteristic positions for interaction with the minor groove of DNA. These residues have been shown to play a role in target DNA recognition by various TFs in the ERF family. Although DREB is primarily known for recognizing the DRE/CRT motif (A/GCCGAC), recent studies suggest an expanded binding capability with the GCC box motif in the promoter context of stress-responsive genes, especially in leguminous plants. Previous studies have reported that the promoter sequence of GmP5CS contains cis-regulatory motifs, such as the GT-1 (256, 21243, 1641) and GCC (21899) [12,44]. Therefore, the hypothesis that can be posed is that DREB7 may bind to the GCC box in the promoter region of P5CS, thereby regulating the transcription of this gene under adverse environmental conditions.

This hypothesis can be tested through experimental methods such as EMSA, yeast one-hybrid assay, or molecular docking simulations between the AP2 domain and the GCC sequence. Confirming this interaction would further elucidate the regulatory role of DREB7 in the stress tolerance mechanism in soybeans. Thus, the results of the analysis of the relationship between the overexpression of the GmDREB7 gene in TG1 transgenic soybean lines and the increase in the transcription level of the GmP5CS gene and the increase in the accumulation of proline amino acid under salt stress conditions showed that the activity of GmDREB7 gene produces DREB7 protein, which can activate the transcription of GmP5CS gene and can increase the accumulation of proline (osmotic substance) and increase the water retention capacity of cells, enhancing the physiological drought and salt tolerance of transgenic soybean plants. The GmDREB7 gene may be a potential candidate for improving the salt resistance of soybean plants; however, further analysis is necessary to confirm this conclusion.

Previous studies have explored protein–DNA interactions using molecular docking, including investigations of the GCC-box binding domain in complexes with DNA [45,46,47]. While the AP2 domains of DREB TFs are known to contain residues that interact with cis-regulatory motifs in target gene promoters, limited research has addressed docking models that explain the transcriptional activation function of soybean DREB7 in stress-responsive gene regulation. In this study, key amino acid residues of the AP2 domain-ARG2, GLY3, ARG5, ARG7, TRP9, LYS11, GLU15, ARG17, ARG24, TRP26, and THR29-formed hydrogen bonds with cis-acting elements in the GmP5CS promoter (Figure 6b). These elements, located in the terminal promoter region, include GT-1 (TGGTTA), GCC, and ACGTG motifs, which are associated with drought and salt stress responses. The molecular docking results (Table 3) support the observed upregulation of GmP5CS expression in transgenic soybeans overexpressing GmDREB7. However, further experimental validation is necessary to confirm the proposed docking model and its functional relevance.

Agrobacterium-mediated gene transfer into soybean was first reported in 1988 [48,49], utilizing A. tumefaciens infection through wounds in the cotyledonary node. This technique has since become widely adopted due to its high efficiency. To date, numerous genetically modified (GM) soybean cultivars have been developed, representing the most significant proportion of GM crops worldwide and serving various applications in food, nutrition, industry, and pharmaceuticals [50]. Beyond varietal development, genetic transformation has also proven to be a valuable tool for functional genomics research [51].

In the present study, we reintroduced the gene encoding the soybean TF DREB7 into soybean plants to investigate whether its overexpression could activate downstream genes involved in salt stress responses. The results demonstrated that GmDREB7 overexpression significantly enhanced the transcription of the GmP5CS gene, thereby improving the plant’s tolerance to salinity. Molecular docking and interaction analyses further confirmed a direct association between the DREB7 TF and the promoter region of the GmP5CS gene.

Historically, conventional soybean breeding methods – such as population selection, sexual hybridization, and induced mutagenesis – have contributed substantially to varietal improvement; however, they often require extensive time and labor. Modern breeding strategies, based on genetic engineering and the integration of transgenic approaches with traditional hybridization, are now favored for their superior efficiency, precision, and speed. These approaches also preserve genetic diversity and enhance adaptability to environmental stressors. Based on our findings, the transgenic lines TG1-5 and TG1-10 exhibited significantly enhanced salt tolerance and are promising candidates for incorporation into breeding programs aimed at developing soybean varieties suited for saline environments, including areas affected by seawater intrusion and soil salinization from excessive chemical fertilizer use.

This study provides functional evidence that DREB7 acts as a positive regulator of salt tolerance in soybeans by directly activating GmP5CS transcription and promoting proline accumulation. It is the first to demonstrate this relationship through both molecular and computational approaches. The validated transgenic lines TG1-5 and TG1-10 are promising candidates for the development of salt-tolerant soybean cultivars through genetic engineering or molecular breeding strategies.

5 Conclusions

In conclusion, the successful transformation of soybean with the pBI121_DREB7 construct-harboring the CaMV35S promoter and the GmDREB7 gene-resulted in the TG1 generation of four transgenic lines. The GmDREB7 gene was effectively overexpressed in both control and NaCl-treated conditions. Among the generated lines, TG1-5 and TG1-10 exhibited significantly higher DREB7 transcript levels (P < 0.05). Under salt stress, these two lines also showed markedly elevated expression of the GmP5CS gene and increased proline accumulation (P < 0.05). The interaction between the DREB7 protein and the GmP5CS promoter was specifically identified through in silico molecular docking analysis. These findings indicate that GmDREB7 may contribute to enhancing GmP5CS transcription and proline biosynthesis under saline conditions. Therefore, GmDREB7 can be a promising candidate gene for improving salt tolerance in soybeans.

  1. Funding information: This research was funded by the Vietnam Ministry of Education and Training in the Project with code number B2023-TNA-26.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results, and approved the final version of the manuscript. Conceptualization and methodology, QNH and MHC; formal analysis and investigation, GTN, YTHN, and HDN; data curation and project administration, QNH, YTHN, and MHC; writing original draft preparation, GTN, YTHN, and QNH; writing – review and editing, QNH and MHC.

  3. Conflict of interest: Authors state no conflicts of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

[1] Gurdip SB, Thomas EC. Soybean: Glycine max (L) Merrill. In: Kalloo G, Bergh BO, editors. Genetic improvement of vegetable crops. Oxford: Pergamon; 1993. p. 427–63. 10.1016/B978-0-08-040826-2.50034-5.Suche in Google Scholar

[2] Miransari M. Soybeans, stress, and nutrients. In: Miransari M, editor. Environmental stresses in soybean production. San Diego, CA: Academic Press; 2016. p. 273–98. 10.1016/B978-0-12-801535-3.00012-7.Suche in Google Scholar

[3] Tarolli P, Luo J, Park E, Barcaccia G, Masin R. Soil salinization in agriculture: Mitigation and adaptation strategies combining nature-based solutions and bioengineering. iScience. 2024;27(2):108830. 10.1016/j.isci.2024.108830.Suche in Google Scholar PubMed PubMed Central

[4] Zhou Y, Zhou W, Liu H, Liu P, Li Z. Genome‐wide analysis of the soybean DREB gene family: Identification, genomic organization and expression profiles in response to drought stress. Plant Breed. 2020;139(6):1158–67. 10.1111/pbr.12867.Suche in Google Scholar

[5] Hou Z, Li Y, Cheng Y, Li W, Li T, Du H, et al. Genome-wide analysis of DREB genes identifies a novel salt tolerance gene in wild Soybean (Glycine soja). Front Plant Sci. 2022;13:821647. 10.3389/fpls.2022.821647.Suche in Google Scholar PubMed PubMed Central

[6] Sakuma Y, Liu Q, Dubouzet JG, Abe H, Shinozaki K, Yamaguchi-Shinozaki K. DNA-Binding specificity of the ERF/AP2 domain of Arabidopsis DREBs, transcription factors involved in dehydration- and cold-inducible gene expression. Biochem Biophys Res Commun. 2002;290(3):998–9. 10.1006/bbrc.2001.6299.Suche in Google Scholar PubMed

[7] Yadav AR, Ashokkuma V, Muthusamy S, Palanisamy S. Role of DREB genes in the regulation of salt stress-mediated defense responses in plants. J App Biol Biotech. 2023;11(Suppl 1):1–9. 10.7324/JABB.2023.144143.Suche in Google Scholar

[8] Zhu JK. Salt and drought stress signal transduction in plants. Annu Rev Plant Biol. 2002;53:247–73. 10.1146/annurev.arplant.53.091401.143329.Suche in Google Scholar PubMed PubMed Central

[9] Phang TH, Shao GH, Lam HM. Salt tolerance in soybean. J Integr Plant Biol. 2008;50(10):1196–212. 10.1111/j.1744-7909.2008.00760.x.Suche in Google Scholar PubMed

[10] Dao XT, Ho MT, Vu TTT, Le VS, Chu HM. Cloning and overexpression of GmDREB2 gene from a Vietnamesedrought-resistant Soybean variety. Braz Arch Biol Technol. 2015;58(5):651–7. 10.1590/S1516-89132015050170.Suche in Google Scholar

[11] Pham TTN, Nguyen HQ, Nguyen TNL, Dao XT, Sy DT, Le VS, et al. Overexpression of the GmDREB2 gene increases proline accumulation and tolerance to drought stress in soybean plants. Aust J Crop Sci 2020. 2020;14(3):495–3. 10.21475/ajcs.20.14.03.p2173.Suche in Google Scholar

[12] Nguyen QH, Vu LTK, Nguyen LTN, Pham NTT, Nguyen YTH, Le SV, et al. Overexpression of the GmDREB6 gene enhances proline accumulation and salt tolerance in genetically modified soybean plants. Sci Rep. 2019;9:19663. 10.1038/s41598-019-55895-0.Suche in Google Scholar PubMed PubMed Central

[13] Tu TQ, Vaciaxa P, Lo TTM, Nguyen NH, Pham NTT, Nguyen QH, et al. GmDREB6, a soybean transcription factor, notably affects the transcription of the NtP5CS and NtCLC genes in transgenic tobacco under salt stress conditions. Saudi J Biol Sci. 2021;28(12):7175–81. 10.1016/j.sjbs.2021.08.018.Suche in Google Scholar PubMed PubMed Central

[14] Liu YW, Chen M, Xu ZS, Zh GY, Li LC, Ma YZ. Dehydration-responsive element binding protein 7 [Glycine max] [nucleotide sequence]. GenBank: NCBI; 2007. https://www.ncbi.nlm.nih.gov/protein/146552064.Suche in Google Scholar

[15] Dar MI, Naikoo MI, Rehman F, Naushin F, Khan FA. Proline accumulation in plants: roles in stress tolerance and plant development. In: Iqbal N, Nazar R, Khan NA, editors. Osmolytes and plants acclimation to changing environment: emerging omics technologies. New Delhi: Springer; 2016. 10.1007/978-81-322-2616-1_9.Suche in Google Scholar

[16] Amini S, Ghobadi C, Yamchi A. Proline accumulation and osmotic stress: an overview of P5CS gene in plants. J Plant Mol Breed. 2015;3(2):44–5. 10.22058/jpmb.2015.17022.Suche in Google Scholar

[17] Olhoft PM, Donovan CM, Somers DA. Soybean (Glycine max) transformation using mature cotyledonary node explants. Methods Mol Biol. 2006;343:385–96. 10.1385/1-59745-130-4:385.Suche in Google Scholar PubMed

[18] Yang Xf, Yu XQ, Zhou Z, Ma WJ, Tang GX. A high-efficiency Agrobacterium tumefaciens mediated transformation system using cotyledonary node as explants in soybean (Glycine max L.). Acta Physiol Plant. 2016;38:60. 10.1007/s11738-016-2081-2.Suche in Google Scholar

[19] Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2 (-Delta Delta C(T)) method. Methods. 2001;25(4):402–8. 10.1006/meth.2001.1262.Suche in Google Scholar PubMed

[20] Bates LS, Waldren RP, Teare ID. Rapid determination of free proline for water-stress studies. Plant Soil. 1973;39:205–7. 10.1007/BF00018060.Suche in Google Scholar

[21] Hanwell MD, Curtis DE, Lonie DC, Vandermeersch T, Zurek E, Hutchison GR. Avogadro: an advanced semantic chemical editor, visualization, and analysis platform. J Cheminform. 2012;4:17. 10.1186/1758-2946-4-17.Suche in Google Scholar PubMed PubMed Central

[22] Jumper J, Evans R, Protzel A, Green T, Figurnov M, Ronneberger O, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596(7873):583–9. 10.1038/s41586-021-03819-2.Suche in Google Scholar PubMed PubMed Central

[23] Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF Chimera--a visualization system for exploratory research and analysis. J Comput Chem. 2004;25(13):1605–12. 10.1002/jcc.20084.Suche in Google Scholar PubMed

[24] IBM Corp. IBM SPSS Statistics for Windows, Version 29.0.2.0. Armonk, NY: IBM Corp; 2023.Suche in Google Scholar

[25] Sadau SB, Liu Z, Ninkuu V, Guan L, Sun X. DREB transcription factors are crucial regulators of abiotic stress responses in Gossypium spp. Plant Stress. 2024;11:100350. 10.1016/j.stress.2024.100350.Suche in Google Scholar

[26] Zhang Y, Xia P. The DREB transcription factor, a biomacromolecule, responds to abiotic stress by regulating the expression of stress-related genes. Int J Biol Macromol. 2023;243:125231. 10.1016/j.ijbiomac.2023.125231.Suche in Google Scholar PubMed

[27] Xu Y, Zhang Y, Ma F, Zhao J, Yang H, Song S, et al. Identification of DREB family genes in banana and their function under drought and cold stress. Plants. 2024;13(15):2119. 10.3390/plants13152119.Suche in Google Scholar PubMed PubMed Central

[28] Wu Y, Zhang L, Nie L, Wu Y, Zhang L, Nie L, et al. Genome-wide analysis of the DREB family genes and functional identification of the involvement of BrDREB2B in abiotic stress in wucai (Brassica campestris L.). BMC Genomics. 2022;23(1):598. 10.1186/s12864-022-08812-1.Suche in Google Scholar PubMed PubMed Central

[29] Liu J, Yang R, Liang Y, Wang Y, Li X. The DREB A-5 transcription factor ScDREB5 from Syntrichia caninervis enhanced salt tolerance by regulating jasmonic acid biosynthesis in transgenic arabidopsis. Front Plant Sci. 2022;13:857396. 10.3389/fpls.2022.857396.Suche in Google Scholar PubMed PubMed Central

[30] Hasanuzzaman M, Parvin K, Islam Anee T, Awal Chowdhury Masud A, Nowroz F. Salt stress responses and tolerance in soybean. Open access peer-reviewed chapter; 2022. 10.5772/intechopen.102835.Suche in Google Scholar

[31] Guan R, Qu Y, Guo Y, Yu L, Liu Y, Jiang J, et al. Salinity tolerance in soybean is modulated by natural variation in GmSALT3. Plant J. 2014;80(60):937–50. 10.1111/tpj.12695.Suche in Google Scholar PubMed

[32] Yang X, Lu M, Wang Y, Wang Y, Liu Z, Chen S. Response mechanism of plants to drought stress. Horticulturae. 2021;7(3):50. 10.3390/horticulturae7030050.Suche in Google Scholar

[33] Yang S, Liu J, Cao L, Chen J, Duan P. Integrated analysis of transcriptome, sRNAome, and degradome involved in the drought-response of maize Zhengdan958. Open Life Sci. 2025;20(1):20221044. 10.1515/biol-2022-1044.Suche in Google Scholar PubMed PubMed Central

[34] Zhang S, Ai J, Guo Y, Bai Y, Yao H, Wang F. Cloning and expression analysis of VrNAC13 gene in mung bean. Open Life Sci. 2023;18(1):20220627. 10.1515/biol-2022-0627.Suche in Google Scholar PubMed PubMed Central

[35] Dossa K, Wei X, Li D, Fonceka D, Zhang Y, Wang L, et al. Insight into the AP2/ERF transcription factor superfamily in sesame and expression profiling of DREB subfamily under drought stress. BMC Plant Biol. 2016;16(1):171. 10.1186/s12870-016-0859-4.Suche in Google Scholar PubMed PubMed Central

[36] Zhou Y, Chen M, Guo J, Wang Y, Min D, Jiang Q, et al. Overexpression of soybean DREB1 enhances drought stress tolerance of transgenic wheat in the field. J Exp Bot. 2020;71(6):1842–57. 10.1093/jxb/erz569.Suche in Google Scholar PubMed PubMed Central

[37] Nguyen YTH, Tu TQ, Nguyen NH, Nguyen DV, Tran HT, Do PT, et al. A novel soybean transcription factor, DREB7, regulates RD29A and SODFe gene expression in transgenic tobacco plants. Vitro Cell Dev Biol Plant. 2023;59:275–84. 10.1007/s11627-023-10349-1.Suche in Google Scholar

[38] Luan Y, An H, Chen Z, Zhao D, Tao J. Functional characterization of the Paeonia ostii P5CS gene under drought stress. Plants (Basel). 2024;13(15):2145. 10.3390/plants13152145.Suche in Google Scholar PubMed PubMed Central

[39] Yan L, Lu M, Riaz M, Tong K, Yu H, Gao G, et al. Exogenous proline enhances salt acclimation in soybean seedlings: Modifying physicochemical properties and controlling proline metabolism through the ornithine-glutamate dual pathway. Ecotoxicol Env Saf. 2025;294:118012. 10.1016/j.ecoenv.2025.118012.Suche in Google Scholar PubMed

[40] Dutta T, Neelapu NRR, Wani SH, Challa S. Compatible solute engineering of crop plants for improved tolerance toward abiotic stresses. In: Wani SH, editor. Biochemical, physiological and molecular avenues for combating abiotic stress tolerance in plants. Elsevier Inc; 2018. p. 221–54.10.1016/B978-0-12-813066-7.00012-7Suche in Google Scholar

[41] Aïda HS, Radhia GB, Bidani A, Jaoua L, Savouré A, Jaoua S. Overexpression of Δ1-pyrroline-5-carboxylate synthetase increases proline production and confers salt tolerance in transgenic potato plants. Plant Sci. 2005;169(4):746–52. 10.1016/j.plantsci.2005.05.025.Suche in Google Scholar

[42] Chen JB, Wang SM, Jing RL, Mao XG. Cloning the PvP5CS gene from common bean (Phaseolus vulgaris) and its expression patterns under abiotic stresses. J Plant Physiol. 2009;166(1):12–9. 10.1016/j.jplph.2008.02.010.Suche in Google Scholar PubMed

[43] Zhang GC, Zhu WL, Gai JY, Zhu YL, Yang LF. Enhanced salt tolerance of transgenic vegetable soybeans resulting from overexpression of a novel Δ1-pyrroline-5-carboxylate synthetase gene from Solanum torvum Swartz. Hortic Env Biotechnol. 2015;56:94–4. 10.1007/s13580-015-0084-3.Suche in Google Scholar

[44] Zhang XX, Tang YJ, Ma QB, Yang CY, Mu YH, Suo HC, et al. OsDREB2A, a rice transcription factor, significantly affects salt tolerance in transgenic soybean. PLoS One. 2013;8(12):e83011. 10.1371/journal.pone.0083011.Suche in Google Scholar PubMed PubMed Central

[45] Allen MD, Yamasaki K, Ohme-Takagi M, Tateno M, Suzuki M. A novel mode of DNA recognition by a beta-sheet revealed by the solution structure of the GCC-box binding domain in complex with DNA. EMBO J. 1998;17(18):5484–96. 10.1093/emboj/17.18.5484.Suche in Google Scholar PubMed PubMed Central

[46] Chen H, Wang J, Cui J, Wang C, Liang S, Liu H, et al. Negative regulation of bleomycins biosynthesis by ArsR/SmtB family repressor BlmR in Streptomyces verticillus. Appl Microbiol Biotechnol. 2019;103(6):6629–44. 10.1007/s00253-019-09923-8.Suche in Google Scholar PubMed

[47] Hassan S, Berk K, Aronsson H. Evolution and identification of DREB transcription factors in the wheat genome: modeling, docking and simulation of DREB proteins associated with salt stress. J Biomol Struct Dyn. 2022;40(16):7191–204. 10.1080/07391102.2021.1894980.Suche in Google Scholar PubMed

[48] Christou P, Swain WF, Yang NS, McCabe DE. Inheritance and expression of foreign genes in transgenic soybean plants. Proc Natl Acad Sci U S A. 1989;86(19):7500–4. 10.1073/pnas.86.19.7500.Suche in Google Scholar PubMed PubMed Central

[49] Hinchee MA, Connor-Ward DV, Newell CA, McDonell RE, Sato SJ, Gasser CS, et al. Production of transgenic soybean plants using Agrobacterium-mediated DNA transfer. Nat Biotechnol. 1988;6:915–22. 10.1038/nbt0888-915.Suche in Google Scholar

[50] James C. 20th anniversary (1996 to 2015) of the global commercialization of biotech crops and biotech crop highlights in 2015. Ithaca, NY, USA: International Service for the Acquisition of Agri-biotech Applications; 2015. Brief No. 51.Suche in Google Scholar

[51] Homrich MS, Wiebke-Strohm B, Weber RL, Bodanese-Zanettini MH. Soybean genetic transformation: A valuable tool for the functional study of genes and the production of agronomically improved plants. Genet Mol Biol. 2012;35(4 (suppl)):998–10. 10.1590/s1415-47572012000600015.Suche in Google Scholar PubMed PubMed Central

Received: 2025-03-23
Revised: 2025-06-09
Accepted: 2025-06-25
Published Online: 2025-08-20

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  42. Case of nasopharyngeal tuberculosis complicated with cervical lymph node and pulmonary tuberculosis
  43. p-Cymene inhibits pro-fibrotic and inflammatory mediators to prevent hepatic dysfunction
  44. GFPT2 promotes paclitaxel resistance in epithelial ovarian cancer cells via activating NF-κB signaling pathway
  45. Transfer RNA-derived fragment tRF-36 modulates varicose vein progression via human vascular smooth muscle cell Notch signaling
  46. RTA-408 attenuates the hepatic ischemia reperfusion injury in mice possibly by activating the Nrf2/HO-1 signaling pathway
  47. Decreased serum TIMP4 levels in patients with rheumatoid arthritis
  48. Sirt1 protects lupus nephritis by inhibiting the NLRP3 signaling pathway in human glomerular mesangial cells
  49. Sodium butyrate aids brain injury repair in neonatal rats
  50. Interaction of MTHFR polymorphism with PAX1 methylation in cervical cancer
  51. Convallatoxin inhibits proliferation and angiogenesis of glioma cells via regulating JAK/STAT3 pathway
  52. The effect of the PKR inhibitor, 2-aminopurine, on the replication of influenza A virus, and segment 8 mRNA splicing
  53. Effects of Ire1 gene on virulence and pathogenicity of Candida albicans
  54. Small cell lung cancer with small intestinal metastasis: Case report and literature review
  55. GRB14: A prognostic biomarker driving tumor progression in gastric cancer through the PI3K/AKT signaling pathway by interacting with COBLL1
  56. 15-Lipoxygenase-2 deficiency induces foam cell formation that can be restored by salidroside through the inhibition of arachidonic acid effects
  57. FTO alleviated the diabetic nephropathy progression by regulating the N6-methyladenosine levels of DACT1
  58. Clinical relevance of inflammatory markers in the evaluation of severity of ulcerative colitis: A retrospective study
  59. Zinc valproic acid complex promotes osteoblast differentiation and exhibits anti-osteoporotic potential
  60. Primary pulmonary synovial sarcoma in the bronchial cavity: A case report
  61. Metagenomic next-generation sequencing of alveolar lavage fluid improves the detection of pulmonary infection
  62. Uterine tumor resembling ovarian sex cord tumor with extensive rhabdoid differentiation: A case report
  63. Genomic analysis of a novel ST11(PR34365) Clostridioides difficile strain isolated from the human fecal of a CDI patient in Guizhou, China
  64. Effects of tiered cardiac rehabilitation on CRP, TNF-α, and physical endurance in older adults with coronary heart disease
  65. Changes in T-lymphocyte subpopulations in patients with colorectal cancer before and after acupoint catgut embedding acupuncture observation
  66. Modulating the tumor microenvironment: The role of traditional Chinese medicine in improving lung cancer treatment
  67. Alterations of metabolites related to microbiota–gut–brain axis in plasma of colon cancer, esophageal cancer, stomach cancer, and lung cancer patients
  68. Research on individualized drug sensitivity detection technology based on bio-3D printing technology for precision treatment of gastrointestinal stromal tumors
  69. CEBPB promotes ulcerative colitis-associated colorectal cancer by stimulating tumor growth and activating the NF-κB/STAT3 signaling pathway
  70. Oncolytic bacteria: A revolutionary approach to cancer therapy
  71. A de novo meningioma with rapid growth: A possible malignancy imposter?
  72. Diagnosis of secondary tuberculosis infection in an asymptomatic elderly with cancer using next-generation sequencing: Case report
  73. Hesperidin and its zinc(ii) complex enhance osteoblast differentiation and bone formation: In vitro and in vivo evaluations
  74. Research progress on the regulation of autophagy in cardiovascular diseases by chemokines
  75. Anti-arthritic, immunomodulatory, and inflammatory regulation by the benzimidazole derivative BMZ-AD: Insights from an FCA-induced rat model
  76. Immunoassay for pyruvate kinase M1/2 as an Alzheimer’s biomarker in CSF
  77. The role of HDAC11 in age-related hearing loss: Mechanisms and therapeutic implications
  78. Evaluation and application analysis of animal models of PIPNP based on data mining
  79. Therapeutic approaches for liver fibrosis/cirrhosis by targeting pyroptosis
  80. Fabrication of zinc oxide nanoparticles using Ruellia tuberosa leaf extract induces apoptosis through P53 and STAT3 signalling pathways in prostate cancer cells
  81. Haplo-hematopoietic stem cell transplantation and immunoradiotherapy for severe aplastic anemia complicated with nasopharyngeal carcinoma: A case report
  82. Modulation of the KEAP1-NRF2 pathway by Erianin: A novel approach to reduce psoriasiform inflammation and inflammatory signaling
  83. The expression of epidermal growth factor receptor 2 and its relationship with tumor-infiltrating lymphocytes and clinical pathological features in breast cancer patients
  84. Innovations in MALDI-TOF Mass Spectrometry: Bridging modern diagnostics and historical insights
  85. BAP1 complexes with YY1 and RBBP7 and its downstream targets in ccRCC cells
  86. Hypereosinophilic syndrome with elevated IgG4 and T-cell clonality: A report of two cases
  87. Electroacupuncture alleviates sciatic nerve injury in sciatica rats by regulating BDNF and NGF levels, myelin sheath degradation, and autophagy
  88. Polydatin prevents cholesterol gallstone formation by regulating cholesterol metabolism via PPAR-γ signaling
  89. RNF144A and RNF144B: Important molecules for health
  90. Analysis of the detection rate and related factors of thyroid nodules in the healthy population
  91. Artesunate inhibits hepatocellular carcinoma cell migration and invasion through OGA-mediated O-GlcNAcylation of ZEB1
  92. Endovascular management of post-pancreatectomy hemorrhage caused by a hepatic artery pseudoaneurysm: Case report and review of the literature
  93. Efficacy and safety of anti-PD-1/PD-L1 antibodies in patients with relapsed refractory diffuse large B-cell lymphoma: A meta-analysis
  94. SATB2 promotes humeral fracture healing in rats by activating the PI3K/AKT pathway
  95. Overexpression of the ferroptosis-related gene, NFS1, corresponds to gastric cancer growth and tumor immune infiltration
  96. Understanding risk factors and prognosis in diabetic foot ulcers
  97. Atractylenolide I alleviates the experimental allergic response in mice by suppressing TLR4/NF-kB/NLRP3 signalling
  98. FBXO31 inhibits the stemness characteristics of CD147 (+) melanoma stem cells
  99. Immune molecule diagnostics in colorectal cancer: CCL2 and CXCL11
  100. Inhibiting CXCR6 promotes senescence of activated hepatic stellate cells with limited proinflammatory SASP to attenuate hepatic fibrosis
  101. Cadmium toxicity, health risk and its remediation using low-cost biochar adsorbents
  102. Pulmonary cryptococcosis with headache as the first presentation: A case report
  103. Solitary pulmonary metastasis with cystic airspaces in colon cancer: A rare case report
  104. RUNX1 promotes denervation-induced muscle atrophy by activating the JUNB/NF-κB pathway and driving M1 macrophage polarization
  105. Morphometric analysis and immunobiological investigation of Indigofera oblongifolia on the infected lung with Plasmodium chabaudi
  106. The NuA4/TIP60 histone-modifying complex and Hr78 modulate the Lobe2 mutant eye phenotype
  107. Experimental study on salmon demineralized bone matrix loaded with recombinant human bone morphogenetic protein-2: In vitro and in vivo study
  108. A case of IgA nephropathy treated with a combination of telitacicept and half-dose glucocorticoids
  109. Analgesic and toxicological evaluation of cannabidiol-rich Moroccan Cannabis sativa L. (Khardala variety) extract: Evidence from an in vivo and in silico study
  110. Wound healing and signaling pathways
  111. Combination of immunotherapy and whole-brain radiotherapy on prognosis of patients with multiple brain metastases: A retrospective cohort study
  112. To explore the relationship between endometrial hyperemia and polycystic ovary syndrome
  113. Research progress on the impact of curcumin on immune responses in breast cancer
  114. Biogenic Cu/Ni nanotherapeutics from Descurainia sophia (L.) Webb ex Prantl seeds for the treatment of lung cancer
  115. Dapagliflozin attenuates atrial fibrosis via the HMGB1/RAGE pathway in atrial fibrillation rats
  116. Glycitein alleviates inflammation and apoptosis in keratinocytes via ROS-associated PI3K–Akt signalling pathway
  117. Ecology and Environmental Science
  118. Optimization and comparative study of Bacillus consortia for cellulolytic potential and cellulase enzyme activity
  119. The complete mitochondrial genome analysis of Haemaphysalis hystricis Supino, 1897 (Ixodida: Ixodidae) and its phylogenetic implications
  120. Epidemiological characteristics and risk factors analysis of multidrug-resistant tuberculosis among tuberculosis population in Huzhou City, Eastern China
  121. Indices of human impacts on landscapes: How do they reflect the proportions of natural habitats?
  122. Genetic analysis of the Siberian flying squirrel population in the northern Changbai Mountains, Northeast China: Insights into population status and conservation
  123. Diversity and environmental drivers of Suillus communities in Pinus sylvestris var. mongolica forests of Inner Mongolia
  124. Global assessment of the fate of nitrogen deposition in forest ecosystems: Insights from 15N tracer studies
  125. Agriculture
  126. Integrated analysis of transcriptome, sRNAome, and degradome involved in the drought-response of maize Zhengdan958
  127. Variation in flower frost tolerance among seven apple cultivars and transcriptome response patterns in two contrastingly frost-tolerant selected cultivars
  128. Heritability of durable resistance to stripe rust in bread wheat (Triticum aestivum L.)
  129. Animal Science
  130. Effect of sex ratio on the life history traits of an important invasive species, Spodoptera frugiperda
  131. Plant Sciences
  132. Hairpin in a haystack: In silico identification and characterization of plant-conserved microRNA in Rafflesiaceae
  133. Widely targeted metabolomics of different tissues in Rubus corchorifolius
  134. The complete chloroplast genome of Gerbera piloselloides (L.) Cass., 1820 (Carduoideae, Asteraceae) and its phylogenetic analysis
  135. Field trial to correlate mineral solubilization activity of Pseudomonas aeruginosa and biochemical content of groundnut plants
  136. Correlation analysis between semen routine parameters and sperm DNA fragmentation index in patients with semen non-liquefaction: A retrospective study
  137. Plasticity of the anatomical traits of Rhododendron L. (Ericaceae) leaves and its implications in adaptation to the plateau environment
  138. Effects of Piriformospora indica and arbuscular mycorrhizal fungus on growth and physiology of Moringa oleifera under low-temperature stress
  139. Effects of different sources of potassium fertiliser on yield, fruit quality and nutrient absorption in “Harward” kiwifruit (Actinidia deliciosa)
  140. Comparative efficiency and residue levels of spraying programs against powdery mildew in grape varieties
  141. The DREB7 transcription factor enhances salt tolerance in soybean plants under salt stress
  142. Food Science
  143. Phytochemical analysis of Stachys iva: Discovering the optimal extract conditions and its bioactive compounds
  144. Review on role of honey in disease prevention and treatment through modulation of biological activities
  145. Computational analysis of polymorphic residues in maltose and maltotriose transporters of a wild Saccharomyces cerevisiae strain
  146. Optimization of phenolic compound extraction from Tunisian squash by-products: A sustainable approach for antioxidant and antibacterial applications
  147. Liupao tea aqueous extract alleviates dextran sulfate sodium-induced ulcerative colitis in rats by modulating the gut microbiota
  148. Toxicological qualities and detoxification trends of fruit by-products for valorization: A review
  149. Polyphenolic spectrum of cornelian cherry fruits and their health-promoting effect
  150. Optimizing the encapsulation of the refined extract of squash peels for functional food applications: A sustainable approach to reduce food waste
  151. Advancements in curcuminoid formulations: An update on bioavailability enhancement strategies curcuminoid bioavailability and formulations
  152. Impact of saline sprouting on antioxidant properties and bioactive compounds in chia seeds
  153. The dilemma of food genetics and improvement
  154. Bioengineering and Biotechnology
  155. Impact of hyaluronic acid-modified hafnium metalorganic frameworks containing rhynchophylline on Alzheimer’s disease
  156. Emerging patterns in nanoparticle-based therapeutic approaches for rheumatoid arthritis: A comprehensive bibliometric and visual analysis spanning two decades
  157. Application of CRISPR/Cas gene editing for infectious disease control in poultry
  158. Preparation of hafnium nitride-coated titanium implants by magnetron sputtering technology and evaluation of their antibacterial properties and biocompatibility
  159. Preparation and characterization of lemongrass oil nanoemulsion: Antimicrobial, antibiofilm, antioxidant, and anticancer activities
  160. Corrigendum
  161. Corrigendum to “Utilization of convolutional neural networks to analyze microscopic images for high-throughput screening of mesenchymal stem cells”
Heruntergeladen am 21.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/biol-2025-1153/html
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