Introduction

Plants are usually subjected to various abiotic challenges from the environment, such as salt, drought or extreme temperature. Saline soil is continuous increasing because of modern agricultural practices. It is estimated that by the year 2050, more than 50% of all cultivated lands may suffer serious salinization1. Drought is widespread in many regions and is expected to increase further2. Both drought and salt stress severely damage the survival and development of plants, resulting in limited the growth, development and productivity3. Plants have evolved complicated systems to protect themselves against different abiotic stresses. In plants, transcription factors (TFs) play key roles in gene expression regulation in response to abiotic stress. Among the TF families, AP2/ERF, bZIP, WRKY, MYB and NAC families play main roles in gene expression regulatory networks in response to abiotic stresses4,5,6. ERFs are unique to plants, and are involved in the regulation of abiotic stress responses and provide exciting potential for engineering abiotic stress-tolerant plants7,8,9,10,11. ERF is a large family, with 157, 147 and 148 members in rice, Arabidopsis and soybean genomes, respectively12,13,14.

Buttner et al.15 showed that ERF can activate or inhibit the transcription of genes that have GCC box (AGCCGCC) in their promoters, dependently or independently of the ethylene signal pathway. Additionally, some ERFs also can bind to a CRT/DRE (A/GCCGAC) motif to regulate the expression of genes in response to biotic or abiotic stresses16,17,18,19.

ERFs are involved in various biological processes, such as primary and secondary metabolism, flowers and seeds development, roots development, especially they could modulate multiple responses to abiotic stresses20,21,22,23. For instance, wheat TaERF1 binds to GCC boxes and CRT/DRE motifs, and its overexpression activated the expression of pathogenesis-related (PR) and cold-regulated/responsive to dehydration (COR/RD) genes, which are related to stress tolerance to drought, cold and salt stresses24. Mishra et al.25 isolated an AP2/ERF from Papaver somniferum (PsAP2) that could bind to DRE and GCC box motifs, and PsAP2 overexpressing transgenic tobacco plants exhibited increased tolerance to both abiotic and biotic stresses. Gao26 cloned the TERF1 gene from tomato, and transferred it into rice. The transgenic rice plants displayed improved salt and drought tolerance by not only improving proline accumulation, but also reducing water loss. Additionally, TERF1 induces the expression of LIP5, Wcor4131, OsPrx and OsABA2 by binding to GCC boxes or DRE/CRT motifs. AtERF71/HRE2 from Arabidopsis is significantly induced by NaCl, mannitol and abscisic acid (ABA). Furthermore, plants overexpressing AtERF71 showed improved tolerance to salt and mannitol, as well as flooding and methyl viologen (MV) stresses, and showed decreased reactive oxygen species (ROS) accumulation under high salt stress27. Overexpression of GmERF7 significantly improved salt tolerance in transgenic tobacco, and the chlorophyll and carbohydrate contents increased in the transgenic plants, meanwhile, the MDA content was reduced28. However, some ERF genes negatively regulate stress tolerance. For instance, the expression AtERF4 is induced by ethylene (ET), methyl jasmonate (MeJA) or ABA, and its overexpression in transgenic Arabidopsis decreased sensitivity to ABA and made the plants hypersensitive to NaCl. Moreover, the expression of several stress-responsive genes decreased in transgenic plants compared with wild-type (WT) plants29. AtERF7 binds to GCC boxes and serves as a repressor of gene transcription. Arabidopsis plants overexpressing AtERF7 displayed reduced sensitivity of guard cells to ABA and increased transpirational water loss, suggesting that AtERF7 is important in ABA responses and is involved in transcriptional repression30. OsERF922 binds specifically to GCC boxes to act as a transcriptional activator, and OsERF922-overexpressing plants showed reduced salt stress tolerance, with an increased Na+/K+ ratio in transgenic plants31. Potato StERF3 is localized to the nucleus and binds to the GCC box element. StERF3-overexpression plants negatively regulated resistance to salt tolerance in potato, however, StERF3 RNAi knockdown plants showed elevated salt tolerance accompanied by the activation of defense related genes (PR1, NPR1 and WRKY1)32. In addition, ERFs might play an important role in fine-tune the stress response. For instance, Arabidopsis ERF6 inhibits leaf growth and induces the expression of stress tolerance genes and ERF11. However, the induced ERF11 in turn counteracts the action of ERF6 by repressing some of the ERF6-induced genes, and ERF11 overexpression could suppress the extreme dwarfism caused by ERF6. These results demonstrated that ERF11 counteracts ERF6 to keep a balance between stress tolerance and growth in plants33.

In the current study, we cloned an ERF gene, BpERF11, from Betula platyphylla (white birch). To investigate its roles in response to salt and severe osmotic stress tolerance, we studied the expression of BpERF11 in birches exposed to salt and severe osmotic stress, and studied its binding to DRE and GCC box motifs. Furthermore, transgenic birches either overexpressing or knocked down for BpERF11 were generated for gain- and loss-of function analysis. The physiological changes involved in stress tolerance and the expression of genes were studied in these transgenic birch lines. The mechanism of stress tolerance mediated by BpERF11 was revealed in this study. Our study increases our understanding of the function of BpERF11 in response to abiotic stress.

Results

Cloning and sequence analysis of BpERF11

The cDNA sequence of BpERF11 was identified from the transcriptomes of B. platyphylla34. The coding sequence (CDS) of BpERF11 is 444 bp in length and was predicted to encode a 147 amino acid protein with molecular mass of 36.48 kDa. Multiple sequence alignments and phylogenetic analysis revealed that BpERF11 shares highest amino acid sequence homology to AT3G50260.1 (AtERF011) (Fig. S1A,B). This result indicated that BpERF11 belongs to the A-5 group of the ERF/AP2 transcription factor family, which has a highly conserved AP2 domain, and the amino acid residues at positions 14 and 19 in the conserved domain were valine and glutamic. The sequence of BpERF11 had been deposited in GenBank with the accession number of KT601336.

Expression of BpERF11 is induced by NaCl, mannitol and PEG treatments

To determine the potential functions of BpERF11 in response to different abiotic stresses, the expression of BpERF11 in birch roots and leaves under NaCl, mannitol and PEG stress conditions were determined. In roots, BpERF11 was highly induced by PEG stress during the studied period. BpERF11 was also significantly upregulated by mannitol and NaCl, especially at NaCl stress for 6 h, or mannitol stress for 12 and 48 h. In leaves, the expression of BpERF11 was significantly induced by NaCl, mannitol and PEG stress. Additionally, BpERF11 was highly expressed at NaCl stress for 6 to 24 h, but was highly induced by mannitol and PEG at stress for 24 to 48 h. These results indicated that BpERF11 might play a role in salt and osmotic stress responses in birch plants (Fig. 1).

Figure 1: Expression profiles of BpERF11 in root and leaf tissues in response to NaCl, PEG and mannitol stress.
figure 1

The expression levels at each time point is normalized by the expression level in the samples treated with fresh water and harvested at the corresponding time point (control), and were log2 transformed. Three biological replications were conducted. The error bars represent the standard deviation (S. D.). Asterisk indicates significant difference between treatments and controls (P < 0.05).

Subcellular localization of BpERF11 protein

To determine the subcellular localization of BpERF11 protein, the 35S: BpERF11-GFP and 35S:GFP constructs were introduced into onion epidermal cells using particle bombardment. The fluorescence signals in the inner epidermal cells were observed using confocal laser scanning microscopy. BpERF11-GFP fusion protein was visualized mainly in the nuclei, whereas the control (transformed with 35S:GFP) was observed throughout the cells (Fig. 2). The results indicated that BpERF11 is a nuclear protein.

Figure 2: Subcellular localization analysis of BpERF11.
figure 2

(A) GFP fluorescence; (B) bright field; (C) merged image of bright field and fluorescence. ERF-GFP: 35S:ERF-GFP was transiently transformed into onion epidermal cells. GFP: 35S:GFP was transiently transformed into onion epidermal cells as a control.

BpERF11 specifically binds to GCC box and DRE motif

To determine whether BpERF11 also could bind to GCC boxes and DRE motifs, Y1H analysis was carried out. The pHIS2 vectors containing GCC box, DRE motifs or their mutants were co-transformed with pGADT7-rec2 effector vectors harboring BpERF11 into Y187 yeast cells to test their interaction. BpERF11 could specifically bind to GCC boxes and DRE motifs, but failed to bind to all the mutated GCC boxes and DRE motifs (Fig. 3B,C), indicating that BpERF11 specifically binds to GCC boxes and DRE motifs.

Figure 3: Analyses of the bindings of BpERF11 to the GCC box and DRE motifs.
figure 3

Three tandem copies of the GCC box, DRE or their mutants were cloned separately into the pHIS2 vector, and transformed into yeast Y187 together with pGADT7-Rec2-BpERF11. The positive transformants were determined by spotting serial dilutions (1:1, 1:10, 1:100, 1:1000) of yeast onto SD/–His/–Leu/–Trp plates supplemented with 3-AT. (A) Diagram of reporter and effector vectors used in the Y1H analysis; (B,C) BpERF11 interacts with the GCC box (B) and DRE motif (C). Positive control (pHIS2-p53/pGADT7-Rec2-p53); Negative control (pHIS2-p53/pGADT7-Rec2-BpERF11).

Expression of BpERF11 in transformed lines

To study the biological role of BpERF11 in stress responses, we generated transgenic birch plants that overexpressed BpERF11 (OE) or comprised RNAi-silencing of BpERF11 (Ri). Nine independent OE lines and seven Ri lines were generated. The expression of BpERF11 in the transgenic lines was studied using qRT-PCR. The expression of BpERF11 was significantly upregulated in the OE lines compared with WT plants, OE3 and OE6 showed the highest levels, and were selected for further study. Expression levels of BpERF11 were downregulated in all Ri lines and Ri2 and Ri3 lines were selected for further experiments due to their lowest expression levels (Fig. S2).

BpERF11 negatively controls salt and severe osmotic stress tolerance

For the abiotic stress tolerance assay, the transgenic lines OE3, OE6, Ri2, Ri3 and WT plants grown in WPM medium were treated with 50 mM NaCl or 80 mM mannitol for 4 weeks. Under normal growth conditions, there was no obvious difference in phenotype and plant height, root number, root length, fresh and dry weight among the WT, OE and Ri lines (Fig. 4A–G). However, when exposed to salt or mannitol conditions, the plant heights, fresh and dry weight in both Ri lines were all the highest, followed by the WT plants; the OE lines displayed lowest heights, and fresh and dry weights (Fig. 4C,F,G). These results indicated that BpERF11 negatively regulates salt and severe osmotic stress tolerance.

Figure 4: Analysis of salt and mannitol stress tolerance.
figure 4

(A,B) Birch shoots (about 1 cm in length) of WT, OE and Ri lines were grown on WPM (normal conditions), or WPM medium supplied with 50 mM NaCl or 80 mM Mannitol for 4-weeks, and their growth and phenotype were recorded; (C–G) Plant height (C), main root length (D), root number (E), fresh weight (F) and dry weight (G). Three independent biological replications were conducted. The error bars represent the standard deviation (S. D.). Asterisk indicates significant difference between OE lines and WT or between Ri lines and WT (P < 0.05).

Analysis of chlorophyll contents and electrolyte leakage

OE, Ri and WT birch plantlets of similar sizes grown in a mixture of turf peat and sand were treated with 150 mM NaCl or 200 mM mannitol for 3 d, and their chlorophyll contents and electrolyte leakage rates were analyzed. There were no significant differences in chlorophyll contents among the OE, Ri and WT lines under normal conditions. Under salt or mannitol stress conditions, the chlorophyll contents were reduced in all the studied lines. However, both OE lines exhibited lowest chlorophyll levels, and the Ri lines displayed highest levels (Fig. S3A). Electrolyte leakage analysis showed that the OE, WT and Ri lines had similar electrolyte leakage rates under normal conditions. However, the Ri lines displayed significantly decreased electrolyte leakage rates and OE lines had significantly increased electrolyte leakage rates compared with the WT plants under salt or mannitol stress conditions (Fig. S3B). Consistently, we also measured the damage to cell membranes using Evans blue staining (Fig. S3C). The results showed no difference among these lines under normal growth conditions; however, the OE lines suffered higher cell death than the WT plants, and the Ri lines displayed lower cell death rates compared with the WT under salt or severe osmotic stress treatment.

ROS scavenging analyses

The H2O2 and O2− levels were examined by DAB and NBT staining, respectively. There were no differences in NBT and DAB staining among all the studied lines under normal growth conditions (Fig. 5A,B). However, when exposed to salt or osmotic stress, both the Ri lines showed obviously reduced H2O2 and O2− levels compared with the WT plants, and the OE3 and OE6 lines had higher H2O2 and O2− levels than the WT (Fig. 5A,B). Consistent with the DAB staining, H2O2 measurement also showed that both OE lines showed the highest H2O2 levels, followed by the WT; the Ri lines had the lowest level under NaCl and mannitol stress conditions. All the lines had similar H2O2 level without stress (Fig. 5C). Additionally, under salt or osmotic stress conditions, the MDA contents in OE lines were highest, followed by the WT; both Ri lines had the lowest levels. The MDA levels were similar among these lines under normal conditions (Fig. 5D). These results indicated that membrane lipid peroxidation was negatively regulated by BpERF11.

Figure 5: ROS scavenging analyses.
figure 5

(A,B) diaminobenzidine (DAB) (A) and nitroblue tetrazolium (NBT) (B) staining to reveal H2O2 and O2 accumulation, respectively. The birches grown on WPM medium were treated with 150 mM NaCl or 200 mM Mannitol for 1 or 2 h, and then leaves were detached for DAB and NBT staining; leaves grown on WPM were the control; (C,D) H2O2 content (C) and MDA content (D) analysis; (E,F) SOD (E) and POD (F) activity analysis; (G) the expression analysis of SOD and POD genes in OE, WT and Ri lines under NaCl stress; (H) the expression analysis of SOD and POD genes in OE, WT and Ri lines under mannitol stress. Three biological replications were conducted. The error bars represent the standard deviation (S. D.). Asterisk indicates significant difference between OE lines and WT or between Ri lines and WT (P < 0.05).

As the H2O2 and O2− levels were significantly altered, we further examined SOD and POD activity in each studied line (Fig. 5E,F). Under normal conditions, all the studied lines showed similar SOD and POD activities. Under NaCl or mannitol treatment conditions, SOD and POD activities increased in all lines; however, both OE3 and OE6 lines had lower SOD and POD activities than the WT, and the Ri lines showed significantly higher SOD and POD activities than the WT plants (Fig. 5E,F).

We next examined the expression of SOD and POD genes to determine whether the altered SOD and POD activities were caused altered expression of SOD and POD genes. The results showed that the expression of all the studied SOD and POD genes were highest in the Ri lines and lowest in the OE lines, indicating that BpERF11 downregulates the expression of SOD and POD genes (Fig. 5G,H).

Proline biosynthesis analysis

To study whether the altered stress tolerance mediated by BpERF11 is due to a change in osmotic potential, we determined the proline contents. There was no significant difference among the WT, OE and Ri lines under normal conditions. However, under NaCl or mannitol stress conditions, the Ri lines had significantly higher proline levels than the WT plants, and the OE lines had the lowest proline levels (Fig. 6A). We further analyzed the expression of genes related to proline biosynthesis, including two proline biosynthesis genes, BpP5CS1 and BpP5CS2, which are homologs of AtP5CS1 (AT2G39800) and AtP5CS2 (AT3G55610), respectively, from Arabidopsis plants; and proline degradation genes BpPRODH and BpP5CDH, which are homologs of Arabidopsis AtPRODH (AT3G30775) and AtP5CDH (AT5G62530), respectively. The expression levels of BpP5CS1 and BpP5CS2 were both significantly increased in the Ri lines compared with WT plants, but showed significant lower expression levels in OE lines compared with WT plants under NaCl or mannitol stress (Fig. 6B,C). Meanwhile, proline degradation genes, BpPRODH and BpP5CDH, were greatly downregulated in Ri lines, but greatly upregulated in the OE lines compared with WT plants (Fig. 6B,C). These results indicated that the biosynthesis of proline was highly inhibited, and the degradation of proline was enhanced in plants overexpressing BpERF11.

Figure 6: Biosynthesis of proline mediated by BpERF11.
figure 6

(A) Proline content analysis under normal, salt or mannitol treatment conditions; (B,C) The expression level of proline biosynthesis-related genes (BpP5CS1and BpP5CS2) and proline degradation-related genes (BpPRODH and BpP5CDH) in WT, OE and Ri lines under NaCl (B) or mannitol (C) treatment conditions. Three biological replications were conducted. The error bars represent the standard deviation (S. D.). Asterisk shows significant difference between OE lines and WT or between SE lines and WT (P < 0.05).

Stomatal aperture and water loss rates analysis

We further studied whether transpiration rates were mediated by BpERF11. Compared with WT plants, Ri lines had significantly lower water loss rates, whereas both OE lines had increased water loss rates (Fig. 7A). As stomatal aperture is closely related to transpiration rates in plants, to determine whether the altered water loss rate was caused the changed stomatal aperture, we further measured the stomatal aperture. In Ri lines, the stomatal aperture (width/length) was significantly reduced compared with the WT, and the stomatal apertures in OE lines were significantly increased when exposed to salt and mannitol stress (Fig. 7B,C), suggesting that BpERF11 negatively controls stomatal aperture to decrease water loss. As AtMYB61 (AT1G09540) controls the stomatal aperture, we further studied the expression of BpMYB61, an AtMYB61 homolog, in the OE, WT and Ri lines. The expression of BpMYB61 was downregulated in the OE lines, but upregulated in the Ri lines (Fig. 7D), suggesting that the expression of BpERF11 could downregulate the expression of BpMYB61.

Figure 7: Water loss rate and stomatal aperture assays.
figure 7

(A) Water loss rate analysis. Leaves of 4-week-old birches from OE, WT and Ri lines were cut to measure water loss rate; (B,C) stomatal aperture analysis. Leaves of 4-weeks birches from OE, WT and Ri lines were treated with 50 mM NaCl or 100 mM mannitol for 2 h to measure stomatal aperture. (D) analysis of the expression of BpMYB61 gene in OE, WT and Ri lines. The BpMYB61 is homologous with AtMYB61 (AT1G09540.1) from Arabidopsis. Three biological replications were conducted. The error bars represent the standard deviation (S. D.). Asterisk indicates significant difference between OE lines and WT or between SE lines and WT (P < 0.05).

The expression of LEAs and DHN were downregulated by BpERF11

Two LEA genes (BpLEA1, BpLEA2) and one DHN gene (BpDHN1) from birch that are homologous to AT5G66400, AT1G52690 and AT1G01470 from Arabidopsis, respectively, and which play important roles in tolerance to salt and drought stresses were selected for expression analysis35,36,37. Under salt and severe osmotic stress conditions, BpLEA1, BpLEA2 and BpDHN1 were upregulated in the Ri lines with higher expression levels than in the WT; however, downregulated in the OE lines (Fig. 8A,B), indicating that BpERF11 downregulates the expression of these genes.

Figure 8: Analysis of LEA and dehydrin (DHN) genes regulation by BpERF11.
figure 8

LEA1 and LEA2 are homologous to AT5G66400 and AT1G52690, respectively, and DHN1 is homologous to AT1G01470 from Arabidopsis. (A) The expression level of LEA1, LEA2 and DHN1 genes in OE, WT and Ri lines under NaCl treatment; (B) The expression level of LEA1, LEA2 and DHN1 genes in OE, WT and Ri lines under mannitol treatment. Three biological replications were conducted. Data are shown as the mean ± SD. Asterisks shows significant differences between OE lines and WT or between SE lines and WT (P < 0.05).

Discussion

In the present study, we cloned BpERF11 from B. platyphylla. Previous studies showed that ERF members can interact with GCC boxes and DRE cis-elements16,17,18. Our results showed that BpERF11 is a nuclear protein that can also specifically bind to GCC boxes and DRE cis-elements (Fig. 3), indicating that it functions as a transcription factor in birch plants. Additionally, BpERF11 shares its highest amino acid sequence similarity with AtERF011 (AT3G50260) (Fig. S1), suggesting that they might have similar functions. BpERF11 is induced by salt and osmotic stress (Fig. 1), suggesting that it is involved in abiotic stress. However, the function of AtERF011 in response to salt or severe osmotic stress has not been studied. In the present study, we functionally characterized BpERF11s involvement in salt and severe osmotic stress tolerance.

BpERF11 negatively regulates salt and osmotic stress tolerance

We generated transgenic birch plants overexpressing BpERF11 and RNAi-silenced BpERF11 for gain- and loss-of-function analysis. Our results showed that transgenic plants overexpressing BpERF11 displayed significantly decreased salt and severe osmotic tolerance (Fig. 4A–C,F,G); however, the knockdown of BpERF11 in transgenic birch plants significantly improved salt and osmotic stress tolerance (Fig. 4A–C,F,G), suggesting that BpERF11 negatively regulates abiotic stress tolerance.

Overexpression of BpERF11 increases stomatal aperture

The transpiration rate is very important for stress tolerance of plants, especially for water stress tolerance. The stomatal aperture plays a key role in controlling the transpiration rate. Our results showed that the expression of BpERF11 in plants is negatively correlated with the transpiration rate (Fig. 7A); therefore, we further examined the stomatal aperture in OE, WT and Ri plants. The results showed that overexpression of BpERF11 increased the stomatal aperture, whereas knockdown of BpERF11 significantly decreased the stomatal aperture (Fig. 7B,C). In Arabidopsis, AtMYB61 is involved in control of the closure of stomatal aperture38. To study whether BpERF11 could regulate stomatal aperture-regulation genes, an AtMYB61 (AT1G09540.1) homolog protein, BpMYB61, was studied. The expression of BpMYB61 was strongly downregulated by BpERF11 (Fig. 7B,C). These results demonstrated that BpERF11 reduced the expression of BpMYB61 to induce the opening of the stomatal aperture, which significantly increased the water loss rate, leading to sensitivity to salt and severe osmotic stress.

BpERF11 downregulates the expression of LEA and DHN

LEA family proteins act as molecular chaperones or shields to prevent irreversible protein aggregation, and can also stabilize the membrane by replacing water or inducing preferential hydration during desiccation conditions39. Among the group 2 LEAs, DHN, are induced by adverse conditions in most plants, and therefore are believed to participate in plant environmental stress tolerance40. Overexpression of DHNs improved salt, drought and cold tolerance in transgenic plants41,42,43,44.Therefore, LEA proteins are quite important in plant stress tolerance. Given their importance in stress tolerance, we further studied whether BpERF11 alters the expression of LEAs. Three LEA family genes from birch, which are homologous to the LEA or DHN genes that were shown previously to be specifically involved in stress tolerance to salt and osmotic were selected to determine whether they are regulated by BpERF1135,36,37. The results showed that BpERF11 could downregulate the expression of these genes (Fig. 8), suggesting that overexpression of BpERF11 reduced the expression of LEA genes related to stress tolerance, and the reduction of these LEAs and DHNs might contribute to increase abiotic stress sensitivity.

BpERF11 reduces proline accumulation under salt and osmotic stress conditions

Proline is the main compatible solute in plants, and plays an important role in osmotic potential adjustment. Accumulation of proline can reduce cellular water potential to maintain the hydrological balance and avoid deleterious toxicity of high ionic strength. Proline also binds to proteins to serve as molecular chaperone to stabilize them45, and acts as a radical scavenger to scavenge intracellular ROS and inhibit ROS-mediated apoptosis46. The metabolism of proline also provides signaling ROS to regulate redox homeostasis and epigenetic reprogramming. Additionally, proline could maintain sustainable growth, and its homeostasis is involved in actively dividing cells under long-term stress47. In the metabolism of proline, P5CS is the key and rate limiting enzyme involved in the biosynthesis of proline, and PRODH and P5CDH are the two main enzyme for the degradation of proline48,49. Our study showed that the OE lines had lowest proline levels and the Ri lines showed increased proline levels, indicating that the transcript level of BpERF11 negatively correlates with proline accumulation. Additionally, qRT-PCR showed that BpERF11 in plants downregulates the expression of proline biosynthesis genes, but upregulates the expression of the two proline degradation genes (Fig. 6B,C). These results suggested that overexpression of BpERF11 decreased salt and osmotic stress by reducing proline accumulation in plants, reflecting BpERF11s ability to upregulate the expression of proline degradation genes and to downregulate the expression of proline biosynthesis genes.

Overexpression of BpERF11 reduces ROS scavenging capacity

When plants are exposed to adverse environments, such as salt, drought and low temperatures, ROS will accumulate rapidly, which damage cellular macromolecules and cellular membranes, and cause DNA damage. However, low levels of ROS function as signaling molecules in abiotic stress50,51. Therefore, modulation of ROS is critical for the abiotic stress tolerance. Previous studies showed that ERFs are involved in ROS scavenging. For instance, Arabidopsis ERF6 serves as a positive antioxidant regulator to play an important role in plant in response to abiotic stresses52. Given the importance of ROS in the stress response, we determined ROS levels. DAB and NBT staining and H2O2 detection all showed that overexpression of BpERF11 caused high accumulation of ROS. By contrast, knockdown of BpERF11 significantly reduced ROS accumulation (Fig. 5). As SOD and POD are the main enzymes involved in ROS scavenging, we further checked the expression of SOD and PODs. The birch genes that are homologue to the Arabidopsis genes having SOD and POD activities were used in study. The results showed that BpERF11 significantly dwonregulated the expression of SOD and POD genes (Fig. 5G,H). Taken together, these results indicated that BpERF11 inhibits the expression of SODs and PODs to decrease SOD and POD activities, which reduced the ROS scavenging capability leading to sensitivity to salt and osmotic stress.

Conclusion

In the present study, we cloned an ERF gene, BpERF11, from birch, and observed that it could specifically bind to GCC boxes and DRE motifs to serve as a transcription factor. Our studies suggested that BpERF11 modulates abiotic stress sensitivity at least in three ways: negative control of stomatal apertures leading to increase water loss rate; decreasing proline accumulation to reduce osmotic potential, and reducing ROS scavenging capability causing ROS damage. Additionally, our studies showed that BpERF11 could regulate the expression of a series of stress-related genes including PRODH, P5CDH, P5CS, DHN, LEA, MYB61, SODs and PODs to induce the above physiological changes (Fig. 9).

Figure 9: Model of the regulatory network of BpERF11 in response to salt and severe osmotic stress.
figure 9

BpERF11 binds to the GCG-box or DRE motifs to regulate the expression of its target genes, such as SODs, PODs, P5CS, P5CDH, PRODH, MYB61, DHN and LEAs, which result in significant physiological changes, including decreased proline accumulation, reduced ROS scavenging capability, increased stomatal aperture, elevated MDA content, enhanced cell damage and reduced chlorophyll. These changes finally lead to increased sensitivity to salt and osmotic stress.

Methods

Materials

B. platyphylla seedlings were grown in pots containing a mixture of perlite/soil (2:1) in a greenhouse under the conditions of 16/8 h light/dark, 70–75% relative humidity at 25 °C. Ten-week-old birch plants were watered with a solution of 200 mM NaCl, 200 mM mannitol or 20% polyethylene glycol (PEG6000) in their roots for 3, 6, 12, 24 and 48 h. The roots and leaves were harvested for RNA isolation. Plants watered with fresh water were harvested at the corresponding time points as controls. The leaves from the second node to apical leaves of birch were harvested, and were pooled together. The leaves or roots were pooled from at least 6 seedlings for each sample, and three independent biological replications were performed. Tissue cultured seedlings were cultivated in a tissue culture room with 70–75% relative humidity, a 12/12 h light/dark photoperiod and an average temperature of 24 °C.

Gene cloning and sequence analysis of BpERF11

The full-length cDNA of BpERF11 (GenBank ID: KT601336), was cloned from the birch transcriptome34. Multiple sequence alignments of BpERF11 with other ERFs from Arabidopsis were performed using ClustalW (http://www.ebi.ac.uk/clustalw/). A phylogenetic tree was constructed using MEGA5.1 with the neighbor-joining (NJ) method. The internal branch support was estimated with 1000 bootstrap replicates.

Vector construction

The coding sequence (CDS) of BpERF11, without its stop codon, was PCR amplified and fused in frame to the N-terminus of the green fluorescent protein (GFP) gene under the control of a CaMV 35S promoter to generate the 35S:BpERF11-GFP construct. The CDS of BpERF11 was also cloned into pROKII under the control of the CaMV 35S promoter (35S:BpERF11). To construct the knockdown vector of BpERF11, a 246 bp region of the promoter sequence of BpERF11 was inserted into pFGC5941 in the forward and reverse directions to form an inverted repeat truncated promoter, separated by the ChsA intron (pFGC5941-BpERF11); all the primer sequences are shown in Table S1.

Real-time qRT-PCR

Total RNA was isolated using the cetyltrimethyl bromide (CTAB) method53, and treated with DNaseI to remove DNA contamination. Total RNA (5 μg) was reverse-transcribed into cDNA using a PrimeScriptTM RT Reagent Kit (Takara Corp., Dalian, China) with oligo(dT) as the primer. The synthesized cDNA was diluted to 100 μL using water to use as real-time PCR template. Real-time PCR was performed on an MJ OpticonTM2 instrument (Bio-Rad, Hercules, CA, USA) with Tubulin (GenBank number: FG067376) and Ubiquitin (GenBank number: FG065618) as internal references. The conditions of real-time PCR were as follows: 2 μL of cDNA template (equivalent to 100 ng of total RNA), 0.5 μM forward and reverse primers respectively), 10 μL of SYBR Green Realtime PCR Master Mix (Toyobo) in a volume of 20 μL. The amplification conditions were as follows: 94 °C for 30 s; 45 cycles of 94 °C for 12 s, 58 °C for 30 s, 72 °C for 45 s; and 1 s at 81 °C for plate reading. Expression levels were calculated from the threshold cycle according to the delta-delta CT method54. Three biological replications were conducted. The primers used and the GenBank number of studied genes are listed in Table S2.

Subcellular localization of BpERF11 protein

The 35S:BpERF11-GFP construct and 35S:GFP (control) were transformed separately into onion epidermal cells using particle bombardment (BioRad). After incubation on MS medium for 48 h in the dark, the onion epidermal cells were visualized under an LSM700 confocal laser microscope (Zeiss, Jena, Germany).

Plant transformation

The 35S:BpERF11 and pFGC5941-BpERF11 were introduced separately into birch plants using an Agrobacterium tumefaciens-mediated transformation method. Briefly, birch leaves were cut into small pieces and soaked in Agrobacterium cell suspension culture (OD600 = 0.6) for 5 minutes, before being placed on woody plant medium (WPM + 2% (w/v) sucrose, pH 5.8) for 48 h. After co-culture, the plantlets were cultured in a selection medium (WPM + 1.0 mg·L−1 6-BA + 2% (w/v) sucrose + 500 mg·L−1 carbenicillin) + 50 mg·L−1 kanamycin (for 35S:BpERF11 transformation)/2 mg·L−1 glyphosate (for pFGC5941-BpERF11 transformation) to induce resistant callus at 25 °C. The antibiotic-resistant calli were regenerated and transferred into differentiation medium (WPM + 1.0 mg·L−1 6-BA + 50 mg·L−1 kanamycin/2 mg·L−1 glyphosate) for inducing bud differentiation. The adventitious buds were then moved to root induction medium (WPM + 0.2 mg·L−1 NAA + 50 mg·L−1 kanamycin (for 35S:BpERF11 transformation)/2 mg·L−1 glyphosate (for pFGC5941-BpERF11 transformation)). The expression level of BpERF11 in transgenic birch lines was analyzed by qRT-PCR. According to the qRT-PCR, two overexpression lines (OE3, OE6) with high expression levels, and two RNA interference lines (Ri2, Ri3) with the most downregulated BpERF11 expression levels were selected for further study.

Analysis of growth phenotype

OE, Ri and WT plant lines of similar sizes were transferred to WPM medium supplied with 50 mM NaCl or 80 mM mannitol for 4 weeks; plants growing in WPM medium were used as controls. The plant height, root length, root numbers, fresh weight and dry weight were measured. Three biological replicates were analyzed for each experiment, and each experiment contained at least five plantlets.

Histochemical analysis of plants in response to stress

Histochemical staining was performed to detect cell death and ROS. The OE, Ri and WT plantlets were treated with NaCl (150 mM) or mannitol (200 mM) for 1 and 2 h. Their leaves were detached immediately for histochemical staining. To detect superoxide and hydrogen peroxide in situ, leaves were infiltrated with nitroblue tetrazolium (NBT) or 3, 3′-diaminobenzidine (DAB) solutions, respectively. Cell death was determined by Evans blue staining. The staining process was performed according to Zhang et al. and Yang et al.51,55.

Analysis of the physiological parameters related to stress tolerance

To determine the physiological effects on OE, Ri and WT lines in response to abiotic stress, OE, Ri and WT plantlets of similar sizes were transferred into pots containing a mixture of turf peat and sand (2:1 v/v). For salt or severe osmotic stress, they were treated with 150 mM NaCl or 200 mM mannitol, respectively, for 3 d. Plants watered with fresh water were used as the control. Superoxide dismutase (SOD) and peroxidase POD activities, the MDA content and relative electrical conductivity were measured according to Wang et al.56; chlorophyll and H2O2 contents were measured according to Minotti et al.57. Proline contents were determined according to Bates et al.58. Each sample contained at least 12 plantlets, and three biological replications were performed.

To measure the water loss rate, the fresh weights (FW) of leaves detached from WT, OE and Ri every 0.5 h for 7 h were weighed. The leaves were then dried overnight at 80 °C, and the dry weights (DW) were determined. The water loss rates were calculated using the formula: WC (%) = ((FW − desiccated weight)/(FW − DW)) × 100.

To measure the stomatal apertures, the epidermal peels were stripped from the leaves of WT, OE and Ri lines and floated in a solution of 30 mM KCl and 10 mM MES-KOH (pH 6.15), followed by incubation for 2 h in the light at 22 °C to induce stomatal opening59. After inducing stomatal opening, 50 mM NaCl or 100 mM mannitol was added to the buffer solution, respectively, and the samples were further incubated for 2 h. Stomatal apertures were photographed under a light microscope (Olympus BX43, Japan). Measurements were performed using the free software IMAGEJ 1.36b (Broken Symmetry Software; http://brokensymmetry.com).

Yeast one-hybrid (Y1H) analysis

Y1H was performed to determine the binding of BpERF11 to GCC boxes and DRE motifs (Clontech, Palo Alta, CA, USA). Three tandem copies of the GCC box (AGCCGCC), DRE (TACCGACAT) or their mutants, GCC-m1 (AGTTGCC), GCC-m2 (ATCCTCC), GCC-m3 (TTTTTTT), DRE-m1 (TATTGACAT), DRE-m2 (TACCTTCAT) or DRE-m3 (TTTTTTTTT) were cloned separately into pHIS2 as reporters. BpERF11 was cloned into pGADT7-rec2 as the effector vector. The effector, together with each reporter, was co-transformed into Y187 for Y1H analysis. The primers used are listed in Table S3.

Expression levels of target genes of BpERF11 assessed by qRT-PCR analysis

OE, Ri and WT birch plantlets were treated with 150 mM NaCl or 200 mM mannitol for 72 h and harvested for qRT-PCR analysis. Plants watered with fresh water only were harvested at the same time and used as controls. The expression of SOD, POD, Δ1-pyrroline-5-carboxylate synthetase (BpP5CS), Pro-dehydrogenase (BpPRODH), P5C-dehydrogenase (BpP5CDH), stomatal aperture control gene (BpMYB61), and late embryogenesis abundant protein genes (LEA1, LEA2 and DHN1) were analyzed using qRT-PCR. Three biological replicates were performed. The primers used are listed in Table S4.

Statistical analyses

Statistical analyses were performed using the SPSS software package (SPSS, Chicago, Illinois, USA). One-way ANOVA was used to determine the statistical significance of the results, and the differences were considered statistically significant at P < 0.05. The error bar represents the standard deviation (S. D.).

Additional Information

How to cite this article: Zhang, W. et al. An Ethylene-responsive Factor BpERF11 Negatively Modulates Salt and Osmotic Tolerance in Betula platyphylla. Sci. Rep. 6, 23085; doi: 10.1038/srep23085 (2016).