Front. Plant Sci., 04 October 2021
Sec. Plant Abiotic Stress

Characterization of the Function of Two S1Fa-Like Family Genes From Populus trichocarpa

Huimin Zhao, Yani Niu, Hao Dong, Yaqi Jia and Yucheng Wang*
  • State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China

S1Fa-like transcription factors (TFs) are small molecular weight proteins that contain both nuclear localization and DNA binding domains. However, the functions of S1Fa-like TFs are poorly understood. In the present study, we identified the S1Fa-like TFs from the Populus trichocarpa genome, which revealed two S1Fa-like TF genes, PtS1Fa1 and PtS1Fa2. PtS1Fa1 and PtS1Fa2 expression was suppressed by drought and salt stress, and was also significantly altered by ABA, MeJA, or SA treatment. Both PtS1Fa1 and PtS1Fa2 are nuclear proteins. Transgenic P. trichocarpa plants overexpressing PtS1Fa1 and PtS1Fa2, respectively, were generated. The plants overexpressing PtS1Fa2 showed increased fresh weight, chlorophyll content, and root length and weight compared with those in wild-type (WT) P. trichocarpa under drought conditions. Meanwhile, these phenotype traits of plants overexpressing PtS1Fa1 were similar to those of WT plants. Furthermore, overexpression of PtS1Fa2 reduced the malondialdehyde (MDA) content, electrolyte leakage, H2O2 and O2- contents, and increased superoxide dismutase (SOD) and peroxidase (POD) activities. The expression of SOD and POD was also induced by PtS1Fa2. However, overexpression of PtS1Fa1 failed to affect any of these physiological parameters or SOD and POD gene expression. These results suggested that PtS1Fa2 plays a role in drought tolerance, and confers drought tolerance by increase antioxidant activity to reduce reactive oxygen species (ROS) accumulation.


As sessile organisms, plants have to cope with various abiotic stresses, such as low or high temperatures, drought, and salinity (Zhu, 2016). These abiotic stresses are major environmental factors that not only limit plant yield, but also affect their geographical distribution. For plants, adverse environmental conditions, including salt, drought, heavy metal, extreme temperatures, chemical toxicity, and nutrient deficiency, usually cause a series of physiological, morphological, molecular, and biochemical changes that negatively affect plant development, yield, growth, and survival worldwide (Huang et al., 2012; Sharma et al., 2013). To adapt to abiotic stress conditions, plants employ a series of cellular responses and biological pathways, such as enhanced antioxidants, the accumulation of compatible solutes, production of stress proteins as molecular chaperones, and salt overly sensitive (SOS) responses to adverse stress (Wang et al., 2003; Kang et al., 2009).

Transcription factors (TFs) function in regulation of gene expression, and are important gene expression regulators. Among the different TFs, S1Fa-like proteins comprise a family of a small molecular weight TFs, being small peptides (70 aa) with both nuclear localization and DNA binding domains. The expression of S1Fa-like was mainly expressed in roots and etiolated seedlings rather than in green leaves (Zhou et al., 1995). Interestingly, the number of S1Fa-like family TFs in different plant species vary highly. Most plant species contain no more than five S1Fa-like family TFs; however, some plant species have more than 100 S1Fa-like TFs. For instance, the genome of Arachis hypogaea contains 126 S1Fa-like TFs (Chen et al., 2016). The S1Fa-like TFs had been identified as membrane-bound transcription factors (MTF), which are usually stored in a dormant form, become active after being released from the membrane, and then transferred into the nucleus to perform its function (Che et al., 2010; Yao et al., 2017). In addition, the S1Fa-like gene is a key partner in cotton in response to abiotic stress. S1Fa-like TFs were one of the most abundant groups and most of the S1Fa-like family members were down-regulated by abiotic stress (Tahmasebi et al., 2019). S1Fa-like TFs were found in the leaves of Brassica napus after salt stress for 1 h, suggesting that they may regulate salt-responsive target genes (Yong et al., 2014). However, their function is mostly unknown (Chen et al., 2016), and have been poorly investigated until now (Gazara et al., 2019).

Populus trichocarpa Torr & Gray was the first woody plant whose genome was sequenced (Tuskan et al., 2006). P. trichocarpa has been considered as a model woody plant in the study of wood growth and properties, development, and biotic or abiotic stress responses. However, to date, there is still no report on functional characterization of Populus S1Fa-like TFs. In the present study, we searched for all members of the Populus S1Fa-like family in the genome of P. trichocarpa, and identified two S1Fa-like TF genes, PtS1Fa1 and PtS1Fa2. We further investigated the expression of these two genes in response to abiotic stress. Then, transgenic P. trichocarpa plants overexpressing PtS1Fa1 and PtS1Fa2, respectively, were generated, and their functions in drought stress were characterized. This study laid the foundation for further determination of the biological functions of the S1Fa-like family in P. trichocarpa.

Materials and Methods

Plant Materials and Growth Conditions

The plantlets of Populus trichocarpa were grown in the greenhouse at 23°C under a 16/8 h light/dark cycle and well-watered. To analyze the expression of S1Fa-like family genes in different tissues, the 5-weeks-old plantlets grown in soil was used for harvesting their tissues: including roots, mature stems, young stems, young leaves, and mature leaves. To assay the expression profiles of the genes for S1Fa-like family responding to drought, salinity stress or plant hormone, 5-weeks-old Populus plants grown in soil and well-watered plants were watered with a solution of 20% polyethylene glycol (PEG)6,000 or 150 mM NaCl at the roots. The plants were watered on their roots with the solution of 100 μM MeJA, 200 μM ABA or 100 μM SA, respectively, for 0, 1, 3, 6, 9, and 12 h. Each sample contains 3 plantlets. The samples were harvested and frozen in liquid nitrogen quickly, and were stored at −80°C for RNA isolation.

Sequence Alignment and Phylogenetic Analysis of S1Fa Genes

To investigate the evolutionary relationship of the S1Fa gene family in Populus, S1Fa amino acid sequences were retrieved from Populus euphratica, Arabidopsis thaliana, and Populus trichocarpa. Amino acid sequence alignments of S1Fa proteins were performed using the program of MEGA (MEGA7) described by Tamura et al. (2011). The neighbor-joining (NJ) program of MEGA7 was used in construction of a phylogenetic tree.

Gene Structure and Conserved Motif Analyses

The MEME program1 was employed for analysis of the conserved motifs among the studied genes with the parameters of a maximum motif number of 50. The Gene structure Display Server Program was used to determine the S1Fa gene member structure (Hu et al., 2015).

Analysis of Chromosome Locations and Promoters of S1Fa Genes

The gff3 annotation files of the P. trichocarpa was used to retrieve the sizes of P. trichocarpa chromosome and the location of the S1Fa genes, and Mapchart v2.2 software was used to visualize the position of the S1Fa genes in the genome of P. trichocarpa (Wageningen University and Research, AA, Wageningen). The promoter sequences of the S1Fa genes (2,000-bp upstream of the start codon ATG) were retrieved from the P. trichocarpa genome using TB tools software (Chen et al., 2020). New PLACE2 was used to analyze the cis-acting elements of the S1Fa genes. The gene promoters containing S1F binding sites were screened by retrieving the P. trichocarpa genome to determine the number and location information of the S1F binding sites, and were visualized with the TB tool software.

Generation of Transgenic Populus trichocarpa Overexpressing PtrS1Fa1 and PtrS1Fa2

To construct the overexpression vectors, the coding sequences (CDSs) of PtrS1Fa1 and PtrS1Fa2 were cloned separately into vector pROK2 under the control of cauliflower mosaic virus (CaMV) 35S promoter to generate the vectors p35S:PtrS1Fa1 and p35S:PtrS1Fa2. These vectors were introduced into Agrobacterium tumefaciens strain EHA105. Transformation of P. trichocarpa was then carried out according to the Agrobacterium infiltration method of Li et al. (2017) with minor modifications. In brief, stem explants (1.0 cm in length) were incubated in a solution containing Agrobacterium cells at OD600 of 0.5) for 20 min. Infected explants were co-cultured in the dark for 48 h, and moved to medium (supplemented with 50 mg/L kanamycin and 300 mg/L Cefotaxime) for bud induction. The kanamycin resistant shoots were transferred to rooting medium (supplemented with 50 mg/L kanamycin and 300 mg/L Cefotaxime) for root generation. All the sequences of primers were included in Supplementary Table 1.

Treatments of Abiotic Stress

S1Fa transgenic and wild-type (WT) plant were grown in the greenhouse at 23°C under a 16/8 h light/dark cycle and well-watered. The plants were well watered for 5 weeks in the soil, and then were treated with 20% PEG6000 for 15 days. The phenotype was observed, and the plant height, fresh weight, root weight, root length and physiological were measured. The plants under normal conditions were used as the controls. Each sample contains 3 plantlets.

The Subcellular Location of PtrS1Fa1 and PtrS1Fa2

The 3′ ends of the CDSs of PtrS1Fa1 and PtrS1Fa2, without the stop codon, were fused separately with the 5′ end of the GFP gene controlled by 35S CAMV promoter to construct 35S: PtrS1Fa1-GFP and 35S: PtrS1Fa2-GFP vectors. The GFP gene driven by 35S CaMV promoter (35S: GFP) was employed as the control. All the constructs were transiently transformed into tobacco plants (Nicotiana benthamiana) using the method of Agrobacterium infiltration. After 72 h of incubation in the dark, the epidermal cells of the transformed tobacco were stained with 4′,6-diamidino-2-phenylindole (DAPI) (100 ng/mL) and visualized under an LSM800 confocal laser scanning microscope (Zeiss, Jena, Germany).

Determination of Physiological Changes

The well rinsed samples were incubated in a vacuum for 15 min, and the electrical conductivity was detected as S1, followed by heating in a boiling water bath for 20 min after which the final electrical conductivity (S2) was measured. Electrolyte leakage was calculated as (S1/S2) × 100% (Lutts et al., 1996). The chlorophyll content was measured at 663 and 645 nm using a spectrophotometer. The procedures for staining of nitroblue tetrazolium (NBT) and 3′-diaminobenzidine (DAB) were according to the method of Zhang et al. (2011). In brief, the leaves were soaked with NBT (1 mg/mL NBT in 10 mM phosphate buffer with 10 mM sodium azide, pH 7.8) or DAB solutions (1 mg/mL DAB–HCl, pH 3.8). After 20% PEG6000 treatment for 9 h, and the detached leaves were used for DAB and NBT staining. Malondialdehyde (MDA) measurement was based on the color reaction produced by the reaction of MDA and thiobarbituric acid, according to Madhava Rao and Sresty (2000). The activities of superoxide dismutase (SOD) and peroxidase (POD) were determined following the procedure of Han et al. (2007). H2O2 levels were determined using the titanium tetrachloride precipitation method, according to Brennan and Frenkel (1977).

RNA Extraction and Quantitative Real-Time Reverse Transcription PCR

According to the manufacturer’s instructions, the cetyltrimethylammonium bromide (CTAB) method (Chang et al., 1993) was used to extract total RNA from P. trichocarpa. ReverTra Ace® qPCR RT Master Mix (Toyobo, Osaka, Japan) was used to reverse transcribe total RNA (about 1.0 μg) into cDNA with the volume of 10 μL. The reverse transcription product was diluted into 100 μL and used for Real-Time Reverse Transcription PCR (qRT-PCR). The reaction system for qRT-PCR contains 10 μl of SYBR Premix Ex TaqTM (Toyobo), 1 μl of cDNA template, and the forward or reverse primers (each 1 μM). The thermal cycles were set as the following: 94°C for 30 s; then 40 cycles of 15 s at 94°C, 30 s at 57°C, and 45 s at 72°C on a qTower 2.2 real-time PCR system (Analytik Jena AG, Jena, Germany). The gene for PtrActin2 was served as the internal control. The gene expression was determined according to the method of 2–ΔΔCT (Livak and Schmittgen, 2001). All the primer sequences and GenBank numbers are included in Supplementary Table 1.

Statistical Analysis

The Statistical Package for the Social Sciences (SPSS 22, IBM Corp., Armonk, NY, United States) was used for statistical analyses, and the data was calculated using One-way analysis of variance (ANOVA). The P value <0.05 was considered as statistical significance.


Phylogenetic Study and S1Fa Genes Classification

Two S1Fa genes were identified from the genome database of P. trichocarpa. The CDSs of the two S1Fa genes comprised 267 and 270 bp, encoding deduced proteins of 88 and 89 amino acids, respectively. To explore the relationships among S1Fa-like proteins, we used the amino acid sequences from all species with known genomes to constructed the NJ-phylogenetic tree. The phylogenetic tree suggested that these S1Fa-like proteins could be classified into five groups, suggesting that these S1Fa proteins in different group may have different functions. Among these 5 groups, group III has more members than other groups, including 108 members, and group II has the least quantity with 24 members. Group 1, 4, and 5 contains 75, 67, and 85 members, respectively. Both PtS1Fa1 and PtS1Fa2 belong to group V, which can be divided into 2 sub-groups. Both PtS1Fa1 and PtS1Fa2 are highly homologous to members of the P. euphratica S1Fa-like family (Figure 1A).


Figure 1. Phylogenetic analysis and multiple sequence alignment of S1Fa-like proteins. (A) Dendrogram of the protein sequences of the S1Fa-like gene family from some species with known genome. The dendrogram was constructed using MEGA version 7 software and using the method of neighbor-joining (NJ). Each special class is present by one color. (B) Multiple sequence alignment of S1Fa proteins from Populus trichocarpa, Arabidopsis, and P. euphratica. Multiple sequence alignment was performed using MEGA version 7 software. The amino acid with red background were highly conserved, and amino acid with red were conserved.

Multiple sequence alignments shows that the amino acid sequences of the S1Fa-like genes from P. trichocarpa, Arabidopsis, and P. euphratica are highly conserved, especially in their domains. The conserved domain of S1Fa was highlighted by the box, and the red background represents the identical amino acid sequence. PtS1Fa1 shares 95.4% sequence similarity with PeS1Fa2 from P. euphratica, and 72% sequence similarity with AtS1Fa1 from Arabidopsis. PtS1Fa2 shares 96.5% sequence similarity with PeS1Fa1 from P. euphratica (Figure 1B).

Gene Structure and Conserved Motif of S1Fa Genes

To investigate the features of S1Fa, conserved motifs of S1Fa genes from P. trichocarpa, A. thaliana, and P. euphratica were identified using the MEME database. Six conserved protein motifs in S1Fa members were analyzed. Smaller differences in the number of motifs (Figure 2A). All the studied S1Fa genes contain paramount motif 1 and motif 3. The S1Fa genes of P. trichocarpa and P. euphratica contain a common motif 2, and S1Fa genes from Arabidopsis contain unique motif 5. The two S1Fa genes from P. trichocarpa shared similar conserved motifs with the genes from P. euphratica, suggesting that they are homologous genes. The intron–exon distribution was analyzed to understand the structure of the S1Fa genes. Figure 2B shows the structure of exon–intron of the S1Fa genes. The structures of S1Fa genes from P. trichocarpa, A. thaliana, and P. euphratica are also highly similar. The numbers of introns and exons are identical among different groups, including 1 intron and 4 exons. Moreover, the introns are all located after the 2 exons at the nitrogen terminal. PtS1Fa1 and PtS1Fa2 shared highly similar gene structures and conserved motifs.


Figure 2. The protein motifs and gene structures of S1Fa-like gene family from poplar. (A) The protein motifs of the S1Fa-like family members. Different motifs were sketched with different colorful box. Clustering was carried out based on the phylogenetic results. (B) Gene structures. Exons and introns are displayed using yellow boxes and Black solid lines, respectively.

Chromosome Distribution and Cis-Elements of Promoters Analysis

According to genome annotation analysis, PtS1Fa1 is located on chromosome 06 and PtS1Fa2 is located on chromosome 16 (Figure 3A). Therefore, we identified the cis-acting elements in the promoters (2,000bp upstream of the translation start site) of PtS1Fa1 and PtS1Fa2 using Plant CARE online software (Figure 3B). In addition, we downloaded the 2,000bp sequences of the S1Fa gene sequences from P. trichocarpa, A. thaliana, and P. euphratica, and analyzed their a cis-acting element. The promoters of S1Fa genes contain a lot of MYB and MYC binding sites. In addition, there are a lot of cis-elements that respond to plant hormones, such as MeJA-responsive, salicylic acid (SA) responsiveness, anaerobic responsive, and abscisic acid (ABA) responsive elements. Promoter analysis showed that the PtS1Fa1 promoter contains four MYB binding sites (MBS) that are related to drought response induction, four MYC binding sites, and four elements related to ABA responsiveness. The PtS1Fa2 promoter contains three MBS related to drought response induction, four MYC binding sites, and four elements related to MeJA responsiveness (Figure 3B). Therefore, we suspected that PtS1Fa1 and PtS1Fa2 might be involved in plants’ response to abiotic stresses.


Figure 3. Chromosomal localization of the S1Fa-like genes and gene duplication events. (A) The tandem duplication events and distribution of chromosome of poplar S1Fa-like genes. Chr01–Chr19 indicated the number of chromosomes 01–19. (B) Prediction of the cis-elements in the S1Fa-like gene promoters. On the left are gene names according to the phylogenetic tree. Different patterned colors on the right represent different cis-elements.

Expression Pattern of the S1Fa-Like Gene Family in Poplar

We use real-time quantitative PCR to verify the expression of the S1Fa genes in different tissues. qRT-PCR showed that S1Fa was expressed in various organizations, but the S1Fa family genes are mainly expressed in young leaves, and have low expression in other studied tissues. The expression profiles of the genes for PtS1Fa1 and PtS1Fa2 were generally consistent (Figure 4A). It shows that S1Fa TFs expression has tissue-specific characteristics. PtS1Fa1 and PtS1Fa2 were highly inhibited by salt and PEG stress during the treatment. Under salt stress conditions, the expression levels of PtS1Fa1 and PtS1Fa2 were highly decreased after stress for 1 and 6 h. PEG was applied to simulate a drought stress. Under PEG induced stress conditions, the expression levels of both PtS1Fa1 and PtS1Fa2 kept decreasing from 1 to 9 h, but recovered under stress for 12 h (Figures 4B,C). The transcript level of PtS1Fa was decreased first and then was gradually increased from 3 to 12 h under MeJA conditions (Figure 4D). When exposed to ABA and SA, the expression levels of PtS1Fa1 and PtS1Fa2 also showed an expression trend that first decreased first, then increased and then decreased again. The expression level of PtS1Fa2 reached the lowest after JA treatment for 3 h, but the expression of PtS1Fa1 reached peak at 9 h. When treated with SA, the expression of PtS1Fa reaching a decreased peak at 3 h (Figures 4E,F).


Figure 4. The expression patterns of S1Fa-like genes. (A) Expression of PtS1Fa1 and PtS1Fa2 in different tissues of Populus trichocarpa. Tissues from 5-week-old plants were used for the analysis. The relative expression of PtS1Fa1 and PtS1Fa2 in the mature leaves was set as 1 to normalize its expression in other tissues. (B) Expression profiles of PtS1Fa1 and PtS1Fa2 in young leaves of P. trichocarpa responding to 150 mM NaCl. (C–F) Young leaves were used for analysis under the conditions of 20% PEG6000 treatment (C), 100 μM Me-JA treatment (D), 100 μM SA treatment (E), and 200 μM ABA treatment (F). All the solutions were watered on roots of P. trichocarpa and P. trichocarpa plants growing under normal conditions were served as the mock controls. The expression values were converted by log2. Error bar indicates the standard deviation (STD) of the three biological replicates. Asterisk () represents significant difference compared with WT (P < 0.05).

PtS1Fa1 and PtS1Fa2 Proteins Were Localized to the Nucleus

To analyze the subcellular location of PtS1Fa1 and PtS1Fa2, there was found that the 35S:S1Fa-GFP fusion protein could only observe green fluorescence in the nucleus in tobacco epidermal cells through confocal microscopy. And further we found that the signal overlapped staining with DAPI. By contrast, the GFP signal was evenly distributed in the tobacco plant cells transformed with 35S:GFP. These results indicated that both PtS1Fa1 and PtS1Fa2 are localized to the nucleus of plant cells (Figure 5).


Figure 5. Cellular localization of the S1Fa-like protein. The constructs 35S:S1Fa1-GFP, 35S:S1Fa2-GFP, and 35S:GFP were, respectively, transformed into leaves of tobacco using Agroinfiltration; DAPI: staining of nuclei using DAPI; GFP: detection of GFP fluorescence; merge: the images of brightfield, DAPI staining, and GFP were merged together; ESID: Brightfield.

Generation of Populus trichocarpa Overexpressing PtS1Fa1 and PtS1Fa2

The transgenic P. trichocarpa plants overexpressing PtS1Fa1 (termed OEPtS1Fa1) and P. trichocarpa plants overexpressing PtS1Fa2 (termed OEPtS1Fa2) were generated, respectively. The transcript level of PtrS1Fa1 and PtrS1Fa2 in each transgenic line was determined using qRT-PCR. Compared with in WT plants, the expression of PtrS1Fa1 and PtrS1Fa2 was significantly elevated in the lines OEPtS1Fa1 or OEPtS1Fa2, respectively, (Figure 6A), indicating that PtrS1Fa1 and PtrS1Fa2 had been successfully transformed and expressed. We selected the lines of PtS1Fa1 (OE1-1 and 1-3) and PtS1Fa2 (OE2-2 and 2-5) with highest expression levels for further experiments. We further determined the selected lines and determined their expression under normal or stress conditions. The results showed that under PEG induced drought stress conditions, the expression of both PtS1Fa1 and PtS1Fa2 is decreased compared with under normal conditions (Figure 6A).


Figure 6. PtS1Fa2 confers drought tolerance. (A) Determination of the overexpression of PtS1Fa1 and PtS1Fa2 in transgenic lines (OE). The relative expression of PtS1Fa1 and PtS1Fa2 in OE lines were divided by that in WT plants, and the ratios were log2 transformed. (B) Comparison of the growth of OE lines and WT plants. (C) The number of brown spots. (D) The percentage of Brown spots size (E–G) Measurement of the plant height (E), fresh weight (F), and chlorophyll content (G). (H–J) Comparison of the root phenotype (H), root length (I), and root weight (J) of OE and WT lines under normal conditions or the conditions of drought stress. Control: The well-watered plants were grown under normal conditions. All the plants were grown in the greenhouse at 23°C under a 16/8 h light/dark cycle and well-watered. PEG: 20% PEG6000 treatment for 15-day. The data represent means of three independent experiments. Each sample contains at least 3 plantlets. The error bar represents the standard deviation (STD) of the three biological repetition. Asterisks indicate significant differences between transgenic strains and WT (P > 0.05).

Investigation of Drought Tolerance Mediated by PtS1Fa1 and PtS1Fa2

To examine whether PtS1Fa1 and PtS1Fa2 play roles in drought stress tolerance, we studied the drought tolerance of the OEPtS1Fa1, OEPtS1Fa2, and WT lines at the vegetative growth stage. The poplar plants were grown under normal or drought stress conditions, and their growth phenotypes were determined. Under normal growth conditions, all the studied plants displayed similar growth phenotype (Figure 6B). When exposed to drought conditions, no significant difference in plant heights was observed among OEPtS1Fa1, OEPtS1Fa2, and WT plants (Figures 6B,E). However, the leaves of the WT plants showed obvious drought damage, manifesting as brown spots. The leaves of OEPtS1Fa1-1 and OEPtS1Fa1-3 had 17 and 18 brown spots, and WT plants had 15 spots; however, OEPtS1Fa2-2 and OEPtS1Fa2-5 only had 2 and 9 spots (Figure 6C). In addition, the brown spots in OEPtS1Fa1-1 and OEPtS1Fa1-3 account for 46 and 52% total leave area, and in WT account for 42% total leave area. However, the brown spots in leaves of OEPtS1Fa2-2 and OEPtS1Fa2-5 only accounted for 4.7 and 18.7% of total area (Figure 6D). At the same time, the OEPtS1Fa2 lines had the significant higher fresh weights than both WT and OEPtS1Fa1 plants under drought stress (Figure 6F). In addition, under drought stress, OEPtS1Fa2 plants had significant higher chlorophyll contents than WT and OEPtS1Fa1 plants (Figure 6G). In addition, the OEPtS1Fa2 lines had both significant higher of root length and root weight than WT and OEPtS1Fa1 plants (Figures 6H–J), suggesting that OEPtrS1Fa2 can increase the drought resistance of plants by increasing root length and lateral root density, while, OEPtrS1Fa1 failed in conferring drought tolerance.

Determination of Malondialdehyde, Reactive Oxygen Species Content, and Reactive Oxygen Species Scavenging Capability Mediated by PtS1Fa1 and PtS1Fa2

To determine the drought tolerance among the WT and OE lines. All the studied plants showed similar electrolyte leakage rates under normal conditions. However, under drought stress conditions, OEPtS1Fa1 plants has a similar electrolyte leakage rate to the WT poplar plants. However, compared with WT plants, OEPtS1Fa2 plants had significantly decreased electrolyte leakage (Figure 7A). OEPtS1Fa2 plants had a reduced MDA content compared with that in the WT plants did, whereas the MDA contents in the PtS1Fa1 and WT plants were similar. However, all the studied plants had similar MDA contents under normal growth conditions (Figure 7B). We further determined the H2O2 contents among the studied plants. The results showed that all the studied plants had similar H2O2 contents under normal conditions. Under drought conditions, OEPtS1Fa1 and WT plants had similar H2O2 content. By contrast, the OEPtS1Fa2 plants had significantly reduced H2O2 contents relative to the WT plants (Figure 7C). Consistently, both DAB (reflecting H2O2 contents) and NBT (O2) staining showed that all these plants had similar H2O2 and O2 contents under normal conditions. However, OEPtS1Fa2 plants displayed significantly lower level of H2O2 and O2 contents relative to WT plants; however, the OEPtS1Fa1 plants showed similar H2O2 and O2- contents to those in the WT plants (Figure 7D). All the studied plants had similar SOD and POD activities under normal conditions. Under drought conditions, the SOD and POD activities in OEPtS1Fa2 plants were significantly higher than those in the WT plants, whereas those in the OEPtS2Fa1 plants and WT plants were similar (Figures 7E,F). Therefore, OEPtS1Fa2 can decrease ROS accumulation, the MDA contents, and cell membrane damage.


Figure 7. Analysis of ROS scavenging regulated by PtS1Fa1 and PtS1Fa2. (A) Analysis of relative electrolyte leakage among WT, OEPtS1Fa1, and OEPtS1Fa2 plants. (B) MDA analysis of WT, OEPtS1Fa1, and OEPtS1Fa2 plants. (C) Analysis of H2O2 levels. (D) Detection of O2 and H2O2using NBT and DAB staining. The poplar plants were exposed to 20% PEG6000 for 0 (without stress) or 9 h, and their leaves were detached for NBT and DAB staining. (E) Measurement of SOD activity among WT, OEPtS1Fa1, and OEPtS1Fa2 plants. (F) Measurement of POD activity among WT, OEPtS1Fa1, and OEPtS1Fa2 plants. Each sample contains at least 3 plantlets. The error bar represents the standard deviation (STD) of the three biological repetition. Asterisks () indicates significant differences between transgenic strains and WT (P > 0.05).

As SOD and POD activities were altered by OEPtS1Fa2, we further studied whether PtS1Fa1 and PtS1Fa2 could regulate SOD and POD gene expression. All the studied plants displayed similar expression levels of PODs and SODs under normal conditions in roots and leaves (Figures 8A,C). However, under drought stress conditions, only PtS1Fa2 could regulate the SOD and POD genes in both roots and leaves, whereas PtS1Fa1 failed in regulation of the expression of genes for POD and SOD in roots and leaves (Figures 8B,D). These results suggested that PtS1Fa2 induces the expression of SOD and POD genes to increase SOD and POD activity, which can elevate the ROS scavenging capability to alleviate the damage caused by excess ROS under drought stress condition, leading to improved drought tolerance.


Figure 8. Determination of the expression of POD and SOD genes regulated by PtS1Fa1 and PtS1Fa2. Analysis of the expression of POD and SOD genes in leaves of WT, PtS1Fa1 and PtS1Fa2 transformed lines (OEPtS1Fa1, and OEPtS1Fa2) using qRT-PCR under normal condition (A) or under PEG treatment conditions (B). The expression of POD and SOD genes in roots of WT, OEPtS1Fa1, and OEPtS1Fa2 using qRT-PCR under normal condition (C) or under PEG treatment conditions (D). Plants were treated with 20% (w/v) PEG6000 for 9 h, and samples were harvested for determination gene expression. The transcript level of genes in WT plants were used as control (set as 1) to normalize the gene expression in transgenic lines. Error bar represents the standard deviation (STD) of the three biological replicates. Asterisk () indicates the significant differences at P < 0.05 compared with the WT.

Hypoxia Gene Expression Mediated by PtS1Fa1 and PtS1Fa2

As drought stress will cause hypoxia, we studied the expression of hypoxia response genes, including three Alcohol dehydrogenase (ADH) genes and four Pyruvic dehydrogenase (PDC) genes. The expression of all studied ADH genes in the OEPtS1Fa1 were similar with WT poplar whether under drought or normal conditions. However, the expression of all studied PDC genes were significantly down-regulated under normal conditions, but were increased under drought conditions. All the studied PDC and ADH genes were down regulated in OEPtS1Fa2 plants under normal condition, but all of them were increased in OEPtS1Fa2 plants under drought stress conditions (Figure 9).


Figure 9. Analysis of the expression of hypoxia genes regulated by PtS1Fa1 and PtS1Fa2. Analysis of hypoxia gene expression in OEPtS1Fa1, OEPtS1Fa2 and WT plants under normal (A) or PEG treatment conditions (B). Plants are treated with 20% (w/v) PEG6000 for 9 h, and were used for qRT-PCR. Error bars represent the standard deviation (STD) of three biological replicates. The asterisk indicates significant difference between the genetically modified strain and WT (P > 0.05).


PtS1Fa2 Confers Drought Tolerance

Although S1Fa-like TFs have been found to be involved in photomorphogenesis, their functions are still poorly studied (Gazara et al., 2019). Here, we cloned two genes of the S1Fa-like family, PtS1Fa1 and PtS1Fa2, from P. trichocarpa. The analysis of protein motifs shows that motif1 is very conservative and contains major function (Figure 2A). The subcellular localization analysis of this study showed that two S1Fa-like TFs were localized in the nucleus, which was consistent with the reported localization. Our results showed that both PtS1Fa1 and PtS1Fa2 can be inhibited by drought and salinity stress, suggesting that they play roles in abiotic stress response (Figures 4B,C). After drought treatment, further studies showed that OEPtS2Fa2 displayed increased fresh weight, root length, and chlorophyll content compared with those in WT plants; thus, the growth phenotype of the OEPtS2Fa2 lines was better than WT plants, suggesting that OEPtS1Fa2 confers drought tolerance (Figure 6). However, OEPtS1Fa1 shared similar fresh weight, root length, chlorophyll content, and growth phenotype with WT plants, indicating that OEPtS1Fa1 failed to confer drought tolerance (Figure 6). Although PtS1Fa1 and PtS1Fa2 belong to the S1Fa-like TF family and share very similar expression profiles in responding to drought and salt stresses, they had different function in drought stress tolerance, indicating that S1Fa-like TF family members have diverse functions.

The promoter of PtS1Fa1 and PtS1Fa2 both contain stress related or hormone regulatory elements (Figure 3B), but they contain different motifs, indicating that PtS1Fa1 and PtS1Fa2 TFs are both involved in response to exogenous hormones and stress treatment, but may have different expression profiles. Consistently, the expression profiles of PtS1Fa1 and PtS1Fa2 was significantly different in response to MeJA, ABA, or SA treatment (Figures 4D–F), which are consistent with the analysis of the motifs in the promoters, also suggesting that PtS1Fa1 and PtS1Fa2 may have different function.

Overexpression of PtS1Fa2 Improved the Reactive Oxygen Species Scavenging Capability to Enhance Drought Tolerance

As sessile organisms, plants have evolved extensive mechanisms to adapt and acclimate to counter the danger posed by adverse environment. ROS include free radicals such as hydroxyl radical (OH), non-radical molecules like hydrogen peroxide (H2O2), superoxide anion (O2), as well as singlet oxygen (1O2). ROS have dual roles in plant responses to abiotic stress, functioning as important signal transduction molecules at low levels, as well as being toxic by-products of stress metabolism (Miller et al., 2010). When exposed to adverse environmental conditions, plants will generate excess ROS. A high level of ROS will be extremely harmful. When the ROS concentration exceeds the capacity of the defense mechanisms of cells, secondary stress, termed “oxidative stress” will occur. Excess ROS will cause oxidation of proteins, enzyme inhibition, peroxidation of lipids, damage to nucleic acids, and activation of programmed cell death (PCD) pathways; these changes ultimately lead to the death of the cells (Mittler, 2002; Meriga et al., 2004; Zhao et al., 2021). Therefore, maintaining ROS at a proper level is necessary for plants to adapt adverse environments. SOD, POD and catalase (CAT) are the defense enzymes that can eliminate ROS effectively to maintain the redox balance. In the present study, our results showed that OEPtS1Fa2significantly reduced H2O2 and O2 levels. At the same time, OEPtS1Fa2 lines showed increased activities of SOD and POD compared with WT plants. Moreover, the expression of POD and SOD genes were all induced in OEPtS1Fa2 lines. We had screened the promoters of SOD genes, and no S1Fa binding sites were identified, suggesting that S1Fa can not directly regulate the expression of these SODs. Therefore, it should be that S1Fa regulates the TFs that containing the S1Fa binding sites in their promoters, and these TFs then regulate the expression of SOD genes. These results together indicated that PtS1Fa2 can induces the expression of POD and SOD genes, giving rise to increase POD and SOD activity. Finally, the increased activities of SOD and POD would reduce ROS accumulation, leading to improved drought tolerance.

The Increase in Root Growth Might Contribute to Improved Drought Tolerance

Roots are the most important organ for plants to adapt salt or drought stress. The yield of dryland crops is strongly affected by the ability of plant roots to absorb stored moisture from deep soil (Wasson et al., 2012). The length of plant roots is a key morphological indicator of drought tolerance (O’Toole and Soemartono, 1981). Previous studies also indicated that plant varieties with good root growth usually possess higher drought tolerance (Reicosky and Deaton, 1979). For instance, overexpression of OsNAC5 enlarged the diameter of rice root, leading to increased drought tolerance (Jeong et al., 2013). Overexpression of TaRNAC1, a predominantly root-expressed TF, can increase wheat biomass, root length, and drought tolerance (Chen et al., 2018). In this study, OEPtS1Fa2 increased the root weight and root length significantly compared with WT poplar plants (Figures 6F,H). Correspondingly, OEPtS1Fa2 shows the ability of drought tolerance remarkably, suggesting that the longer roots might increase the capability of the OEPtS1Fa2 root system to extract stored soil moisture, leading to improved drought tolerance (Figure 6).

PtS1Fa1 and PtS1Fa2 Induce the Expression of Hypoxia-Responsive Genes

As previous studies showed that drought can induce hypoxia stress in plants (Manter and Kelsey, 2008), therefore, we further determined the expression of the genes related with hypoxia. After receiving the hypoxia signal, plants usually induce a series of gene expression to reduce damage caused by hypoxia, such as ADH GAPC and PDC genes. These genes are expressed lower under normal conditions, but the translation activity is greatly enhanced to adapt to low oxygen environment under hypoxia conditions (Sheila et al., 2002). In this study, under drought conditions, OEPtS1Fa2 can significantly increase the expression of ADH and PDC (Figure 9), suggesting that it can improve drought stress by induction of the expression of ADH and PDC to reduce damage caused by hypoxia. However, OEPtS1Fa1 can’t induce the expression of the studied ADH genes (Figure 9), which may be one of the reasons that it can’t confer drought tolerance.

The Putative Target Genes Regulated by S1Fa-Like Transcription Factors

To analysis of the putative target genes of PtS1Fa2, we screened the S1F binding sites (“ATGGTAACAATT”) in the promoter of genes on the genomes of Populus (Supplementary Figure 1A). The putative target genes were further analyzed using GO annotations. The results showed that the putative target genes are involved in many pathways (Supplementary Table 2), such as regulation of gene expression, response to abiotic stress, protein binding, suggesting that PtS1Fa2 were involved in these pathways. qRT-PCR was further performed to verify whether these genes are really regulated by PtS1Fa1 and PtS1Fa2, and the result showed that most of these putative target genes were regulated by PtS1Fa1 and PtS1Fa2, suggesting that the prediction is reliable. In addition, qPCR showed that PtS1Fa2 regulates more putative target genes than genes are regulated by PtS1Fa1 (Supplementary Figures 1B,C), which may explain the fact that PtS1Fa2 could confer drought tolerance rather than PtS1Fa1. For instance, the expression of Potri.005G124000 (heme binding Protein) can be induced by PtS1Fa2 but not be induced by PtS1Fa1 (Supplementary Figure 1B). Previous studies showed that Arabidopsis Heme Binding Membrane Protein (TSPO) plays a role in porphyrin binding and scavenging during stress in plants (Vanhee et al., 2011). Therefore, the induction of Potri.005G124000 mediated by PtS1Fa2 might be contributed to the adaption of drought stress.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Author Contributions

YW directed and conceived the project. YN and HZ performed the experiments. HD and YJ performed the overall data analysis. HZ and YW wrote the manuscript. All authors contributed to the article and approved the submitted version.


This work was financially supported by the Fundamental Research Funds for the Central Universities (2572017AA05) to HZ. The National Natural Science Foundation of China (No. 31770704) to YW. Heilongjiang Touyan Innovation Team Program (Tree Genetics and Breeding Innovation Team), and the Overseas Expertise Introduction Project for Discipline Innovation (B16010).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2021.753099/full#supplementary-material


  1. ^ http://meme-suite.org/
  2. ^ https://www.dna.affrc.go.jp/PLACE/?action=newplace


Brennan, T., and Frenkel, C. (1977). Involvement of hydrogen peroxide in the regulation of senescence in Pear 1. Plant Physio 59, 411–416. doi: 10.1104/pp.59.3.411

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, S. T. A. U., Puryear, J., and Cairney, J. (1993). A simple and efficient method for isolating RNA from pine trees. Plant Mol. Biol. Rep. 11, 113–116. doi: 10.1007/BF02670468

CrossRef Full Text | Google Scholar

Che, P., Bussell, J. D., Zhou, W., Estavillo, G. M., Pogson, B. J., and Smith, S. M. (2010). Signaling from the endoplasmic reticulum activates brassinosteroid signaling and promotes acclimation to stress in Arabidopsis. Sci. Signal. 3:ra69. doi: 10.1126/scisignal.2001140

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, C., Chen, H., Zhang, Y., Thomas, H. R., and Xia, R. (2020). Tbtools: an integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 13, 1194–1202. doi: 10.1016/j.molp.2020.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, D., Chai, S., McIntyre, C. L., and Xue, G. (2018). Overexpression of a predominantly root-expressed NAC transcription factor in wheat roots enhances root length, biomass and drought tolerance. Plant Cell Rep. 37, 225–237. doi: 10.1007/s00299-017-2224-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Li, H., Pandey, M. K., Yang, Q., Wang, X., Garg, V., et al. (2016). Draft genome of the peanut A-genome progenitor (Arachis duranensis) provides insights into geocarpy, oil biosynthesis, and allergens. Proc. Natl. Acad. Sci. U.S.A. 113, 6785–6790. doi: 10.1073/pnas.1600899113

PubMed Abstract | CrossRef Full Text | Google Scholar

Gazara, R. K., de Oliveira, E. A. G., Rodrigues, B. C., Nunes Da Fonseca, R., Oliveira, A. E. A., and Venancio, T. M. (2019). Transcriptional landscape of soybean (Glycine max) embryonic axesduring germination in the presence of paclobutrazol, a gibberellin biosynthesis inhibitor. Sci. Rep. 9:9601. doi: 10.1038/s41598-019-45898-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, Y., Zhang, J., Chen, X. Y., Gao, Z. Z., Xuan, W., Xu, S., et al. (2007). Carbon monoxide alleviates cadmium-induced oxidative damage by modulating glutathione metabolism in the roots of medicago sativa. New Phytol. 177, 155–166. doi: 10.1111/j.1469-8137.2007.02251.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, B., Jin, J., Guo, A., Zhang, H., Luo, J., and Gao, G. (2015). GSDS 2.0: an upgraded gene feature visualization server. Bioinformatics 31, 1296–1297. doi: 10.1093/bioinformatics/btu817

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, G., Ma, S., Bai, L., Zhang, L., Ma, H., Jia, P., et al. (2012). Signal transduction during cold, salt, and drought stresses in plants. Mol. Biol. Rep. 39, 969–987. doi: 10.1007/s11033-011-0823-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeong, J. S., Kim, Y. S., Redillas, M. C. F. R., Jang, G., Jung, H., Bang, S. W., et al. (2013). OsNAC5 overexpression enlarges root diameter in rice plants leading to enhanced drought tolerance and increased grain yield in the field. Plant Biotechnol. J. 11, 101–114. doi: 10.1111/pbi.12011

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, Y., Khan, S., and Ma, X. (2009). Climate change impacts on crop yield, crop water productivity and food security-a review. Prog. Nat. Sci. 19, 1665–1674. doi: 10.1016/j.pnsc.2009.08.001

CrossRef Full Text | Google Scholar

Li, S., Zhen, C., Xu, W., Wang, C., and Cheng, Y. (2017). Simple, rapid and efficient transformation of genotype Nisqually-1: a basic tool for the first sequenced model tree. Sci. Rep. 7:2638. doi: 10.1038/s41598-017-02651-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Livak, K. J., and Schmittgen, T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods 25, 402–408. doi: 10.1006/meth.2001.1262

PubMed Abstract | CrossRef Full Text | Google Scholar

Lutts, S., Kinet, J. M., and Bouharmont, J. (1996). NaCl-induced senescence in leavesof rice (Oryza sativaL.) cultivars differing in salinity resistance. Ann. Bot. 78, 389–398. doi: 10.1006/anbo.1996.0134

CrossRef Full Text | Google Scholar

Madhava Rao, K. V., and Sresty, T. V. (2000). Antioxidative parameters in the seedlings of pigeonpea (Cajanus cajan (L.) Millspaugh) in response to Zn and Ni stresses. Plant Sci. 157, 113–128. doi: 10.1016/S0168-9452(00)00273-9

CrossRef Full Text | Google Scholar

Manter, D. K., and Kelsey, R. G. (2008). Ethanol accumulation in drought-stressed conifer seedlings. Int. J. Plant Sci. 169, 361–369. doi: 10.1086/526462

CrossRef Full Text | Google Scholar

Meriga, B., Reddy, B. K., Rao, K. R., Reddy, L. A., and Kishor, P. B. (2004). Aluminium-induced production of oxygen radicals, lipid peroxidation and DNA damage in seedlings of rice (Oryza sativa). J. Plant Physiol. 161, 63–68. doi: 10.1078/0176-1617-01156

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, G., Suzuki, N., Ciftci-Yilmaz, S., and Mittler, R. (2010). Reactive oxygen species homeostasis and signalling during drought and salinity stresses. Plant Cell Environ. 33, 453–467. doi: 10.1111/j.1365-3040.2009.02041.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mittler, R. (2002). Oxidative stress, antioxidants and stress tolerance. Trends Plant Sci. 7, 405–410. doi: 10.1016/S1360-1385(02)02312-9

CrossRef Full Text | Google Scholar

O’Toole, J. C., and Soemartono. (1981). Evaluation of a simple technique for characterizing rice root systems in relation to drought resistance. Euphytica 30, 283–290. doi: 10.1007/BF00033989

CrossRef Full Text | Google Scholar

Reicosky, D. C., and Deaton, D. E. (1979). Soybean water extraction, leaf water potential, and evapotranspiration during drought 1. Agron. J. 71, 45–50. doi: 10.2134/agronj1979.00021962007100010011x

CrossRef Full Text | Google Scholar

Sharma, R., De Vleesschauwer, D., Sharma, M. K., and Ronald, P. C. (2013). Recent advances in dissecting stress-regulatory crosstalk in rice. Mol. Plant 6, 250–260. doi: 10.1093/mp/sss147

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheila, L. F., Thoa, N., and Julia, B. S. (2002). Transcriptional and post-transcriptional processes regulate gene expression in oxygen-deprived roots of maize. Plant J. 15, 727–735. doi: 10.1046/j.1365-313x.1998.00249.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tahmasebi, A., Ashrafi-Dehkordi, E., Shahriari, A. G., Mazloomi, S. M., and Ebrahimie, E. (2019). Integrative meta-analysis of transcriptomic responses to abiotic stress in cotton. Prog. Biophys. Mol. Biol. 146, 112–122. doi: 10.1016/j.pbiomolbio.2019.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., and Kumar, S. (2011). MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28, 2731–2739. doi: 10.1093/molbev/msr121

PubMed Abstract | CrossRef Full Text | Google Scholar

Tuskan, G. A., Difazio, S., Schein, J., Sterck, L., Aerts, A., Bhalerao, R. R., et al. (2006). The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science 313, 1596–1604. doi: 10.1126/science.1128691

PubMed Abstract | CrossRef Full Text | Google Scholar

Vanhee, C., Zapotoczny, G., Masquelier, D., Ghislain, M., and Batoko, H. (2011). The Arabidopsis multistress regulator TSPO is a heme binding membrane protein and a potential scavenger of porphyrins via an autophagy-dependent degradation mechanism. Plant J. 23, 785–805. doi: 10.1105/tpc.110.081570

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, W., Vinocur, B., and Altman, A. (2003). Plant responses to drought, salinity and extreme temperatures: towards genetic engineering for stress tolerance. Planta 218, 1–14. doi: 10.1007/s00425-003-1105-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wasson, A. P., Richards, R. A., Chatrath, R., Misra, S. C., Prasad, S. V. S., Rebetzke, G. J., et al. (2012). Traits and selection strategies to improve root systems and water uptake in water-limited wheat crops. J. Exp. Bot. 9, 3485–3498. doi: 10.1093/jxb/ers111

PubMed Abstract | CrossRef Full Text | Google Scholar

Yao, S. X., Deng, L. L., and Zeng, K. F. (2017). Genome-wide in silico identification of membrane-bound transcription factors in plant species. Peer J. 5:e4051. doi: 10.7717/peerj.4051

PubMed Abstract | CrossRef Full Text | Google Scholar

Yong, H. Y., Zou, Z. W., Kok, E. P., Kwan, B. H., Chow, K., and Nishio, T. (2014). Comparative transcriptome analysis of leaves and roots in response to sudden increase in salinity in brassica napus by rna-seq. J. Biomed. Biotechnol. 2014:467395. doi: 10.1155/2014/467395

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X., Wang, L., Meng, H., Wen, H., Fan, Y., and Zhao, J. (2011). Maize ABP9 enhances tolerance to multiple stresses in transgenic Arabidopsis by modulating ABA signaling and cellular levels of reactive oxygen species. Plant Mol. Biol. 75, 365–378. doi: 10.1007/s11103-011-9732-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, S., Zhang, Q., Liu, M., Zhou, H., Ma, C., and Wang, P. (2021). Regulation of plant responses to salt stress. Int. J. Mol. Sci. 22:4609. doi: 10.3390/ijms22094609

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, D. X., Bisanz-Seyer, C., and Mache, R. (1995). Molecular cloning of a small DNA binding protein with specificity for a tissue-specific negative element within the rps1 promoter. Nucleic Acids Res. 23, 1165–1169. doi: 10.1093/nar/23.7.1165

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, J. (2016). Abiotic stress signaling and responses in plants. Cell 167, 313–324. doi: 10.1016/j.cell.2016.08.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Populus trichocarpa, gene expression, S1Fa-like, drought stress, drought tolerance, transcription factor

Citation: Zhao H, Niu Y, Dong H, Jia Y and Wang Y (2021) Characterization of the Function of Two S1Fa-Like Family Genes From Populus trichocarpa. Front. Plant Sci. 12:753099. doi: 10.3389/fpls.2021.753099

Received: 04 August 2021; Accepted: 09 September 2021;
Published: 04 October 2021.

Edited by:

Alexandre Berr, UPR 2357 Institut de Biologie Moléculaire des Plantes (IBMP), France

Reviewed by:

Yihan Dong, UPR 2357 Institut de Biologie Moléculaire des Plantes (IBMP), France
Emilie Widemann, University of Western Ontario, Canada

Copyright © 2021 Zhao, Niu, Dong, Jia and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yucheng Wang, wangyucheng@ms.xjb.ac.cn

These authors have contributed equally to this work