Next Article in Journal
Protective Effect of Osmundacetone against Neurological Cell Death Caused by Oxidative Glutamate Toxicity
Previous Article in Journal
Obesity-Related Changes in Human Plasma Lipidome Determined by the Lipidyzer Platform
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomolecules
Volume 11
Issue 2
10.3390/biom11020327
biomolecules-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dehydration-Induced WRKY Transcriptional Factor MfWRKY70 of Myrothamnus flabellifolia Enhanced Drought and Salinity Tolerance in Arabidopsis

by
Xiang-Ying Xiang
1,†,
Jia Chen
1,†,
Wen-Xin Xu
1,
Jia-Rui Qiu
1,
Li Song
1,
Jia-Tong Wang
1,
Rong Tang
1,
Duoer Chen
1,
Cai-Zhong Jiang
2,3 and
Zhuo Huang
1,*
1
College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
2
Department of Plant Sciences, University of California Davis, Davis, CA 95616, USA
3
Crops Pathology and Genetics Research Unit, United States Department of Agriculture, Agricultural Research Service, Davis, CA 95616, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Biomolecules 2021, 11(2), 327; https://0-doi-org.brum.beds.ac.uk/10.3390/biom11020327
Submission received: 22 November 2020 / Revised: 6 February 2021 / Accepted: 8 February 2021 / Published: 22 February 2021
(This article belongs to the Section Molecular Biology)
Browse Figures
Versions Notes

Abstract

:
The resurrection plants Myrothamnus flabellifolia can survive long term severe drought and desiccation conditions and soon recover after rewatering. However, few genes related to such excellent drought tolerance and underlying molecular mechanism have been excavated. WRKY transcription factors play critical roles in biotic and abiotic stress signaling, in which WRKY70 functions as a positive regulator in biotic stress response but a negative regulator in abiotic stress signaling in Arabidopsis and some other plant species. In the present study, the functions of a dehydration-induced MfWRKY70 of M. flabellifolia participating was investigated in the model plant Arabidopsis. Our results indicated that MfWRKY70 was localized in the nucleus and could significantly increase tolerance to drought, osmotic, and salinity stresses by promoting root growth and water retention, as well as enhancing the antioxidant enzyme system and maintaining reactive oxygen species (ROS) homeostasis and membrane-lipid stability under stressful conditions. Moreover, the expression of stress-associated genes (P5CS, NCED3 and RD29A) was positively regulated in the overexpression of MfWRKY70 Arabidopsis. We proposed that MfWRKY70 may function as a positive regulator for abiotic stress responses and can be considered as a potential gene for improvement of drought and salinity tolerance in plants.

1. Introduction

Plants in nature were exposed to changing environmental conditions and subjected to a variety of biotic and abiotic stresses. To increase their probability of survival, plants have to adapt to these hostile environments through evolutionary and regulatory mechanisms [1,2]. As the major abiotic stresses, drought and high salinity detrimentally impact the growth, development, and productivity of plants, even causing serious loss of agricultural yield [3,4]. Therefore, it is of great significance to discover the genes related to stress tolerance and the underlying molecular mechanism that are essential for the genetic improvement of plant stress tolerance and the sustainable development of human society.
WRKY transcription factors (WRKYs), as a large family of plant transcription factors (TF), participate in a variety of biological processes in plants, including root growth, the quality of blossom clusters, senescence of leaf, fruit maturation, and resistance to pathogens [5,6,7,8]. WRKYs are typically composed of two structures, including the highly conserved WRKYGQK heptapeptide called WRKY domain at its N-terminus and the C-terminal zinc finger motif [9,10]. WRKY domain can specifically bind on cis-acting elements known as W-box (C/T)TGAC(C/T), as well as RAV1A and WLS element, indicating that they have different binding modes and diversified regulation of the downstream target gene [11,12]. In recent years, increasing pieces of evidence proved that TFs serve as critical roles in biotic and abiotic stress signaling [13,14]. Some WRKY transcription factors were particularly induced by a combination of drought and cold stress treatments or drought and heat shock stress treatments simultaneously [15,16]. Overexpression of TaWRKY33 in Arabidopsis and wheat reduced the leaf water loss rate and enhanced salinity tolerance [17,18]. Heterologous overexpression of PbrWRKY53 could enhance the drought stress tolerance of tobacco and Pyrus ussuriensis [19]. Thus, WRKYs are considered a reservoir for the discovery of genes related to stress tolerance.
As the only woody resurrection plants, angiosperm Myrothamnus flabellifolia, known as homoiochlorophyllous desiccation-tolerant plants (HDTs), could rapidly reactivate after a dehydration rate of up to 95%; besides, physiological functions could restore normal operation to as it was before desiccation [20,21,22]. Although the morphological characteristics of Myrothamnus flabellifolia have been well studied, few genes of M. flabellifolia related to desiccation tolerance were characterized and the underlying molecular mechanisms remain unclear. WRKY70 belongs to the group III of the WRKY family with one WRKY domain and CCHC zinc finger motif [9]. Previous studies showed that WRKY70 was involved in the regulation of leaf senescence [23] and immune responses [24,25]. Additionally, the negative roles of WRKY70 in responding to abiotic stress were also revealed. In Arabidopsis, AtWRKY70 functions as a negative regulator in abiotic stress signaling, and similar results for WRKY70 were also obtained in the tomato [26,27]. Repressing expression of PsnWRKY70 could enhance salinity tolerance in P. simonii × P. nigra [28]. Previous transcriptome analysis of M. flabellifolia showed that MfWRKY70, a homologue to AtWRKY70, was significantly up-regulated at the early dehydration stage [29], suggesting that it may play some roles during dehydration. In this study, the MfWRKY70 was cloned and its potential functions involved in drought and salinity tolerance were investigated in Arabidopsis, and the underlying mechanism was preliminarily studied.

2. Materials and Methods

2.1. Plant Materials and Stress Treatments

The Arabidopsis ecotype Columbia was used in this study and conserved by our lab. Plants were cultivated with a mixture of soil and vermiculite (1:1, v/v), raised in a growth room at 24 °C (day)/22 °C (night), 75% relative humidity and approximately 100 µM photons m–2 s–1 with a 16-h light/8-h dark photoperiod. To ensure uniform number of plants in similar status were used for further growth and analysis, seeds of Arabidopsis (transgenic lines and wild type) were surface-sterilized with a 1:1 diluted bleaching agent, sown on 1/2 MS (Murashige & Skoog) medium after being washed by sterilized deionized water three times, then vernalized (4 °C) for 48 h and grown in 16-h light/8-h dark (24/22 °C) conditions. Ten days later, seedlings were transplanted to plastic pots containing same weight of soil and vermiculite (1:1, v/v) and placed in the growth chamber.
For seedling stress treatments, surface-sterilized seeds of WT and transgenic Arabidopsis were sown on 1/2 MS medium with mannitol (0, 200, 250, or 300 mM) and NaCl (0,50, 100, or 150 mM). Before adult stage stress treatments, WT and transgenic lines were grown in the growth chamber under the same temperature (22 °C), relative humidity (75%), and light intensity (150 μmol/m2·s), and normally watered for four weeks. For salt treatment, the pots containing the same number (25 strains) of plants were well watered and then transferred into trays (eight pots per tray) containing the same volume of 300 mM NaCl solution. For drought treatment, the same numbers (3 strains) of plants in each pot were well-watered to keep the same initial soil water content. The watering was then withheld for three weeks, then the plants were well rewatered. During treatments, all plants were placed in the growth chamber under the same conditions as described above.

2.2. Cloning and Bioinformatic Analysis of MfWRKY70

Total RNA was extracted from the leaves of M. flabellifolia using a Plant Total RNA Isolation Kit (TINAGENE Co., Beijing, China). The first-strand cDNA was synthesized by using a Reverse Transcriptase kit (Takara Bio, Dalian, China) according to the instructions of the kit. According to uniGene sequence corresponding to MfWRKY70, specific forward and reverse primers were designed by Primer Premier 5.0 with additional Nco I and Spe I restriction sites, respectively. After being purified, amplified PCR products were cloned into a pEasy-T1 Simple vector (TransGen Biotech, Beijing, China) and sequenced.
Homologous proteins of MfWRKY70 from different species were selected using BLASTP of NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 15 November 2020). Multiple sequence alignments between WRKY70s were analyzed using DNAMAN (version 5.2.2, LynnonBiosoft, San Ramon, CA, America). Phylogenetic tree analysis was obtained using MEGA 5.0 (MEGA, Auckland City, New Zealand) [30].

2.3. Subcellular Localization of MfWRKY70

Prediction of protein localization using the web-based tool (https://psort.hgc.jp/, accessed on 20 October 2019). MfWRKY70 was cloned into a pHB-YFP vector fused with Yellow fluorescent protein (YFP). Sequence-verified recombinant plasmids 35S::MfWRKY70-YFP and 35S::YFP control vector were respectively transferred into Agrobacterium tumefaciens, then injected into the four weeks old tobacco (benthamiana) cells. After 16 h dark treatment and two days of cultivation, the YFP expression in tobacco cells was observed with a confocal laser scanning microscopy (Nikon, Tokyo, Japan).

2.4. Vector Construction and Generation of Transgenic Lines

Primers containing NcoyⅠ (forword) and SpeⅠ (reverse) enzyme sites were designed to add corresponding enzyme cut sits on MfWRKY70. The double-digested and purified amplicons were inserted into digested linear pGSA1403 by T4 DNA Ligase. The resulted 35::pGSA1403-MfWRKY70 vector was transformed into A. tumefaciens strains LBA4404, and the floral-dip transformation method was used to transform Arabidopsis [31]. T0 seeds were selected in 1/2 MS medium with 50 mg/L kanamycin. The selfing offsprings were further checked by PCR and three homozygous positive T3 lines were randomly selected for further analysis.

2.5. Water Loss Rate

About 0.5 g rosette leaves from same positions of four-week-old WT and transgenic plants were sampled for water loss rate analysis. Leaves were placed on filter paper in an experimental bench at room temperature (~25 °C, relative humidity 60%), and weighed at 0.5 h, 1 h, 1.5 h, 2 h, 3 h, 4 h, 5 h, 6 h, and 7 h. The water loss percentage was then calculated. Three biological replicates for each line were performed.

2.6. Stomatal Aperture Analysis

To investigate the change in stomatal operating of transgenic and wide-type Arabidopsis induced by osmotic stress and ABA, rosette leaves excised from four-week-old WT and transgenic Arabidopsis were floated on the MES-KCl solution (50 mM KCl, 0.1 mM CaCl2, and 10 mM MES, pH = 6.15). Leaves were exposed to light for 2.5 h to induce stomatal opening and were then transferred into solution with 300 mM mannitol and 20 μM ABA, respectively. Leaves treated by MES-KCl solution were used as control. After 2 h incubation, optical microscopy (DP80, Olympus, Japan) was used to observe stomatal aperture immediately. A length/width ratio of about 100 stomata was measured for stomatal aperture analysis. Three biological replicates for each line were performed.

2.7. Physiological Measurements

A hydrogen peroxide assay kit and an inhibition and produce superoxide anion assay kit (Nanjing Jiancheng) were used to measure the reactive oxygen species (ROS) level (H2O2 and O2−) by following the operating instructions. Histochemical staining using nitroblue tetrazolium (NBT) and 3,3′-diaminobenzidine (DAB) was performed as described previously [32]. Ten leaves of the same parts were taken from three individuals of WT or transgenic lines and used for staining. The malondialdehyde (MDA) content was measured flowing the thiobarbituric acid (TBA) method [33]. The activity of SOD was assayed by the NBT photoreduction method as described [34]. The activities of peroxidas (POD) and catalas (CAT) were determined by the methods reported by Zheng et al. [35]. Three biological replicates and three technical replicates were executed.

2.8. Reverse Transcription PCR (RT-PCR) and Quantitative Real-Time PCR (qRT-PCR)

Leaves of four-week-old seedlings were subjected to treatments of salinity stress or simulating drought stress with 300 mM NaCl or 10% PEG-6000 for three days and seven days, respectively. RNA of treated leaves were extracted by the Plant RNA Kit (Omega Bio-tek, Norcross, GA, United States) for expression analyses of stress-associated genes (P5CS, NCED3, and RD29A) in transgenic and WT Arabidopsis. Reverse transcription was conducted using reverse transcriptase Uscript II (Innovagene biotech, Hunan, China). The qRT-PCR was conducted with 2 × SYBRGreen qPCR Mix (Innovagene biotech, Hunan, China) following the manual protocol. AtActin2 was used as internal controls. The relative expression levels were determined using the method of 2 −∆∆CT [36]. Three biological replicates and three technical replicates were conducted. Primers were listed in Supplementary Table S1.

2.9. Statistical Analyses

The statistical analyses were performed by Student’s t-test in SPSS (version 23.0, IBM Corporation, Chicago, IL, USA).

3. Results

3.1. Isolation and Characterization of MfWRKY70

The full length of coding region of MfWRKY70 cDNA was cloned from M. flabellifolia by PCR amplification. It is 885 bp long and encodes a putative protein of 294 amino acid residues (Figure 1a). The protein has a calculated isoelectric point of 6.11 and a deduced molecular weight of 33.4 kDa. As revealed by multiple sequence alignment, MfWRKY70 was most homologous to PlWRKY70 of Paeonia lactiflora and AcWRKY70 of Actinidia chinensis (Figure 1b). Besides, a nuclear localization sequence (NLS) “RRGCYKRRRTTETW” was predicted in the N-terminal of the conserved WRKY domain. The predicted MfWRKY70 consists of a characteristic WRKY domain, containing both the oligopeptide WRKYGQK and C-X7-CX23-H-X-C (a putative zinc finger motif) (Figure 1a). Based on this, MfWRKY70 was classified as a Group III member of the WRKY transcription factor family. Moreover, some putative phosphorylation sites could be predicted (Figure 1).

3.2. Subcellular Localization of MfWRKY70

In order to examine the subcellular localization of the MfWRKY70 protein, a vector 35S::MfWRKY70-YFP was constructed for transient expression of MfWRKY70 in tobacco. Observation using laser confocal microscopy showed that the fluorescence was detected throughout the cytoplasm and nucleus in the 35S::YFP construct, whereas the fluorescence from the 35S::MfWRKY70-YFP fusion proteins was specifically found in the nucleus (Figure 2).

3.3. Heterologous Expression of MfWRKY70 Improved Salt and Osmotic Tolerance in Arabidopsis

To determine whether manipulation of MfWRKY70 expression would affect the growth and abiotic stress tolerance, a binary vector pGSA1403-MfWRKY70 was constructed and used to generated transgenic lines of MfWRKY70 under control of the CaMV 35 S promoter. We used selective media with Kanamycin and PCR to screen positive transgenic lines, and three homozygous positive lines, OE-3, OE-10 and OE-11, were randomly selected for further investigation. The real-time quantitative PCR (qPCR) analysis showed that MfWRKY70 was expressed in all three lines, in which the expression level in OE-10 was significantly lower than in OE3 and OE11 (Figure 3a).
To further investigate the roles of MfWRKY70 in abiotic stress tolerance, stress treatments and subsequent phenotyping were performed. At seedling stage, the root length was not significantly different between transgenic lines and WT under routine conditions (seedlings grown vertically on 1/2 MS medium for seven days). However, under the presence of 200 mM, 250 mM, and 300 mM mannitol, the root growth of WT plants was inhibited and was remarkably shorter than those of the three transgenic lines (Figure 3b). Root growth under 1/2 MS medium containing different concentrations of NaCl (50 mM, 100 mM, and 150 mM) also showed a similar result (Figure 3c).
For adult plant evaluation, natural drought and NaCl treatments were applied to four-week-old WT and transgenic lines grown in soil. Before the treatment, there was no significant morphological difference between WT and transgenic lines. Stop watering for eleven days, leaves of WT were withered and chlorotic, however, almost all leaves of transgenic lines stayed green (Figure 4a). Twenty-one days after withholding (DAW) watering, WT plants were completely withered. In contrast, the wilting extent of transgenic lines, especially OE-3 and OE-11, was significantly lower, which maintained normal growth and development (Figure 4a). Three days after re-watering, recovery of transgenic lines was achieved in varying degrees, while the WT plants almost died (Figure 4a). Similarly, the wilted phenotype of WT after NaCl treatment for seven days was more serious than those of transgenic lines (Figure 4b). Moreover, the water loss rate of detached leaves of WT was significantly higher compared with transgenic lines, indicating that transgenic lines had better water retention capacity (Figure 4c).
We analyzed stomatal closure under stress. Treated by 200 mM mannitol and 20 μM ABA, leaves of transgenic lines had lower stomatal apertures than that of WT (Figure 5a,b) Malondialdehyde (MDA) is a well-known indicator of membrane-lipid peroxidation. Compared with the WT plants, the content of MDA increased significantly in WT and OE plants after drought and salt treatments; however, OE plants exhibited prominently lower MDA contents than WT (Figure 5c).
We also tested an important osmotic adjustment substance, proline, in WT and transgenic plants under drought and salt treatments. Proline exhibited similar abundance before stress treatment between WT and OE plants, while after drought and salt treatments, proline in all three OE lines were significantly higher than those of WT (Figure 5d).

3.4. Overexpression of MfWRKY70 Affected Antioxidant Metabolism Levels in Arabidopsis under Drought and Salinity Stress

To determine whether antioxidant metabolism levels in Arabidopsis were influenced by overexpression of MfWRKY70 under drought and salinity stress, we measured the activities of antioxidant enzymes, such as POD, SOD, and CAT, of WT and OE lines. Compared with WT plants, antioxidant enzyme activities of OE lines remarkably increased and were significantly higher after stress treatment than those of WT (Figure 6e–g). As is well known, the antioxidant enzyme plays a vital role in scavenging reactive oxygen species (ROS), such as H2O2 and O2−. Since antioxidant enzyme activities were changed, we then examined in situ accumulation of H2O2 and O2− in leaves of WT plants and OE lines after salinity and drought stresses. By employing histochemical analysis with NBT and DAB, deeper color was stained on leaves of WT than those of transgenic lines (Figure 6a,b). Consistently, significantly lower H2O2 content and higher anti-superoxide anion activity were detected in OE lines upon salinity and drought stress compared with WT (Figure 6c,d).

3.5. Stress Response Genes Were Up-Regulated by Overexpression of MfWRKY70

qRT-PCR was employed to analyze the effect of MfWRKY70 overexpression on transcript levels of stress-responsive marker genes in Arabidopsis. After three days and seven days of artificially simulated drought (10% PEG-6000) and salt (300 mM NaCl) treatments, transcript quantity of AtP5CS, AtNCED3, and AtRD29A rose more significantly in the OE lines than those of WT plants, indicating that MfWRKY70 could directly or indirectly regulate the expression of downstream stress-responsive gene (Figure 7a–c).

4. Discussion

Accumulating studies indicated that plant resistance to biotic and abiotic stresses could be strengthened by overexpression of WRKY genes. For instance, ectopic expression of FvWRKY42, a WRKY transcription factor from Fragaria vesca, enhanced resistance to powdery mildew, improved osmotic stress tolerance, and increased abscisic acid sensitivity in Arabidopsis [5]. Moreover, heterologous expression of TaWRKY49, TaWRKY92, TaWRKY112, and TaWRKY142 in wheat enhanced tolerance to abiotic and biotic stress [14]. However, few studies focusing on the role of WRKY TFs in resurrection plants, such as M. flabellifolia, in respect to abiotic stress response had been conducted.
In the present study, we characterized a dehydration-induced gene encoding a WRKY TF, MfWRKY70, from resurrection plant M. flabellifolia. It shared a highly conserved WRKY domain with WRKY70s from different plant species and was localized in the nucleus (Figure 1), where it may function as a transcriptional activator or inhibitor.
Roots are the most sensitive organ under abiotic stress [37,38]. O’Toole and Soemartono reported that it was most appropriate to take the length of rice roots as the morphological index for drought tolerance [39]. Some studies also demonstrated that varieties with good root growing lead to higher drought tolerance [40]. In this study, roots of all OE lines were significantly longer than those of the WT seedling, suggesting that overexpression of MfWRKY70 significantly decreased the inhibition of root growth by osmotic (mannitol) and salinity stresses (Figure 3). Furthermore, the adult plants of OE lines also exhibited significantly better growth under long term natural drought and recovery after rewatering (Figure 4), and also exhibited better performance under salinity stress (Figure 4). These results apparently indicated that MfWRKY70 overexpression strengthens tolerance to abiotic stress in Arabidopsis.
A previous study showed that group III WRKY TF AtWRKY70 and AtWRKY54 are negative regulators in osmotic stress tolerance [27]. Similarly, PsnWRKY70 was significantly down-regulated in salt-treated Populus simonii × Populus nigra [41], and SlWRKY70 has a negative regulatory effect on tomato drought stress tolerance [26]. This is different from the results obtained in the present study. Thus, it is interesting to know how MfWRKY70 functions as a positive regulator of abiotic stress tolerance. Overexpression of OsWRKY45 from Oryza sativa Japonica, a homologue of AtWRKY70, has been reported to enhance drought tolerance in Arabidopsis [42]. This result is similar to that of MfWRKY70 but different from AtWRKY70. Two OsWRKY45 could form a dimer by exchanging their β4 and β5 strands of its DNA binding domain, then interact with W-box elements of DNA. In addition to H-bonds, salt bridges formed between two key residues of two DNA binding domains making the combination of strands hard to separate [43]. Besides, a study shows that OsWRKY45 could be activated by OsMPK6 (MAP kinase) phosphorylating one or two serine residues of its C-terminal, then binding to the W-box DNA of target gene promoters. These studies suggested that some key amino acids play a crucial role for the function of OsWRKY45 [44]. Sequence alignment showed the two serine residues are conserved in the MfWRKY70 and OsWRKY45, but are absent in AtWRKY70 (Supplementary Figure S1). Some amino acid differences among MfWRKY70 and AtWRKY70 were also found in the WRKY domains. Thus, the key amino acid sites interior the DNA binding domain or different phosphorylation sites may be causal for functional difference between AtWRKY70 and MfWRKY70.
Plants can control water loss by reducing stomatal conductance and evaporative surfaces. The stomatal operating state reflects the metabolism of plants to some extent; thus, the fast adjustment of the stomatal aperture is an important drought-tolerant feature of plants [45,46]. Our results showed that the stomatal aperture was lower in OE lines under induced by mannitol and exogenous ABA, and the water loss rates were lower during dehydration (Figure 5). These results revealed that the MfWRKY70 OE lines have better water retention ability comparing to WT under stress.
Drought and salinity stress generally considered as osmotic stress, and the content of proline in the plant, contribute to osmotic adjustment [47,48,49]. In this study, the content of proline increased more significantly in OE lines than in WT plants, coming with the result of higher expression levels of P5CS under stress in transgenic Arabidopsis, indicating that MfWRKY70 overexpression in plants can avoid osmotic stress by affecting the accumulation of the osmolytes.
Most abiotic stress signals induce accumulation of reactive oxygen species (ROS), particularly O2− and H2O2 [50], which could cause lipid peroxidation in biomembranes [51] and lead to MDA accumulation [52]. Thus, MDA content is usually used as a parameter for the impairment of plants under abiotic stresses [53]. The antioxidant enzyme system, such as POD, SOD, and CAT enzymes, protect plants under stress treatment by keeping ROS at threshold levels and the activities of these enzymes signify the anti-stress capability of plants under abiotic stress [32,54,55]. Higher enzyme activity and lower ROS accumulation in OE lines indicated from many aspects that overexpression of MfWRKY70 could increase POD, SOD, and CAT activities and enhance the ability of ROS scavenging under stress.
Plants respond to abiotic stress immediately at the early stage by altering the expression levels of many stress-related regulatory genes, which could regulate their downstream target genes to further react to or protect plants from stress conditions [56]. Pyrroline-5-carboxylic acid synthetase (P5CS), encoding by AtP5CS in Arabidopsis, is a rate-limiting enzyme, whose expression determines the synthetic speed of proline [57]. The NCED3 gene plays a vital role in the regulation of ABA levels, which is the important signal responsive to abiotic stress. RD29A contributes to the reduction of damage by drought, salt, low temperature, and other stresses, and functions in ABA-dependent signaling pathways and the downstream target of WRKY transcription factor related to abiotic stress responses [58,59,60,61]. Up-regulation of gene expression levels of P5CS [62,63,64,65], NCED3 [66,67,68], or RD29A usually results in increased stress tolerance. In MfWRKY70 OE lines, the transcript amount of the three genes were upregulated compared with WT, showing that MfWRKY70 could directly or indirectly regulate expression of P5CS, NCED3, and RD29A and enhance drought and salinity stresses.
Further studies on the mechanism underlying the positive role involved in plant abiotic stress response of MfWRKY70, compared to the negative role of other known WRKY70s, are needed.

5. Conclusions

In the present study, we cloned and characterized MfWRKY70 of M. flabellifolia. Overexpression of MfWRKY70 in Arabidopsis significantly enhanced abiotic stress tolerance by promoting root growth and water retention, as well as enhancing the antioxidant enzyme system and maintaining ROS homeostasis and membrane-lipid stability under stressful conditions. Moreover, the expression of stress-associated genes (P5CS, NCED3 and RD29A) was positively regulated. These results indicated that unlike the AtWRKY70, MfWRKY70 likely functions as a positive factor in abiotic stress responses.

Supplementary Materials

Supplementary materials can be found at https://0-www-mdpi-com.brum.beds.ac.uk/2218-273X/11/2/327/s1, Table S1: List of primers used in this study; Table S2: The GenBank accession numbers and corresponding species of some high humongous WRKYs used to construct phylogenetic tree in Figure 1. Figure S1: Sequence analysis of AtWKY70, MfWRKY70, and OsWRKY45.

Author Contributions

Conceptualization, Z.H. and C.-Z.J.; Funding acquisition, Z.H.; Investigation, J.C., X.-Y.X., Z.H., W.-X.X., J.-R.Q., J.-T.W., L.S., R.T., and D.C.; Methodology, C.-Z.J.; Project administration, Z.H.; Resources, C.-Z.J.; Supervision, Z.H.; Writing—original draft, X.-Y.X.; Writing—review & editing, X.-Y.X. and Z.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the International Cooperation Project (2018HH0078) funded by the Science and Technology Department of Sichuan Province, China.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Abbreviations

TFstranscription factors
HDTshomoiochlorophyllous desiccation-tolerant plants
NLSnuclear localization signal
WTwild type
P5CS∆-1-pyrroline-5-carboxylate synthetase
NCED9- cis-epoxycarotenoid dioxygenase
OEOver-Expression
DAB3,3′-Diaminobenzidine
NBTNitrotetrazolium blue chloride
PODperoxidase
SODsuperoxide dismutase
CATcatalase
MDAmalondialdehyde

References

  1. Krasensky, J.; Jonak, C. Drought, salt, and temperature stress-induced metabolic rearrangements and regulatory networks. J. Exp. Bot. 2012, 63, 1593–1608. [Google Scholar] [CrossRef] [Green Version]
  2. Zhu, J.-K. Salt and Drought Stress Signal Transduction in Plants. Annu. Rev. Plant Biol. 2002, 53, 247–273. [Google Scholar] [CrossRef] [Green Version]
  3. Golldack, D.; Li, C.; Mohan, H.; Probst, N. Tolerance to drought and salt stress in plants: Unraveling the signaling networks. Front. Plant Sci. 2014, 5, 151. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Guo, J.; Ling, H.; Wu, Q.; Xu, L.; Que, Y. The choice of reference genes for assessing gene expression in sugarcane under salinity and drought stresses. Sci. Rep. 2014, 4, 7042. [Google Scholar] [CrossRef] [Green Version]
  5. Wei, W.; Cui, M.-Y.; Hu, Y.; Gao, K.; Xie, Y.-G.; Jiang, Y.; Feng, J.-Y. Ectopic expression of FvWRKY42, a WRKY transcription factor from the diploid woodland strawberry (Fragaria vesca), enhances resistance to powdery mildew, improves osmotic stress resistance, and increases abscisic acid sensitivity in Arabidopsis. Plant Sci. 2018, 275, 60–74. [Google Scholar] [CrossRef] [PubMed]
  6. Lai, Z.; Li, Y.; Wang, F.; Cheng, Y.; Fan, B.; Yu, J.-Q.; Chen, Z. Arabidopsis Sigma Factor Binding Proteins Are Activators of the WRKY33 Transcription Factor in Plant Defense. Plant Cell 2011, 23, 3824–3841. [Google Scholar] [CrossRef] [Green Version]
  7. Robatzek, S. Targets of AtWRKY6 regulation during plant senescence and pathogen defense. Genes Dev. 2002, 16, 1139–1149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Wang, Z.; Liu, L.; Su, H.; Guo, L.; Zhang, J.; Li, Y.; Xu, J.; Zhang, X.; Guo, Y.-D.; Zhang, N. Jasmonate and aluminum crosstalk in tomato: Identification and expression analysis of WRKYs and ALMTs during JA/Al-regulated root growth. Plant Physiol. Biochem. 2020, 154, 409–418. [Google Scholar] [CrossRef]
  9. Eulgem, T.; Rushton, P.J.; Robatzek, S.; Somssich, I.E. The WRKY superfamily of plant transcription factors. Trends Plant Sci. 2000, 5, 199–206. [Google Scholar] [CrossRef]
  10. Mingyu, Z. WRKY transcription factor superfamily: Structure, origin and functions. Afr. J. Biotechnol. 2012, 11. [Google Scholar] [CrossRef]
  11. Xu, H.; Shi, X.; Wang, Z.; Gao, C.; Wang, C.; Wang, Y. Transcription factor ThWRKY4 binds to a novel WLS motif and a RAV1A element in addition to the W-box to regulate gene expression. Plant Sci. 2017, 261, 38–49. [Google Scholar] [CrossRef] [PubMed]
  12. Zheng, L.; Liu, G.; Meng, X.; Liu, Y.; Ji, X.; Li, Y.; Nie, X.; Wang, Y. A WRKY gene from Tamarix hispida, ThWRKY4, mediates abiotic stress responses by modulating reactive oxygen species and expression of stress-responsive genes. Plant Mol. Biol. 2013, 82, 303–320. [Google Scholar] [CrossRef]
  13. Li, X.; Tang, Y.; Li, H.; Luo, W.; Zhou, C.; Zhang, L.; Lv, J. A wheat R2R3 MYB gene TaMpc1-D4 negatively regulates drought tolerance in transgenic Arabidopsis and wheat. Plant Sci. 2020, 299, 110613. [Google Scholar] [CrossRef] [PubMed]
  14. Kuki, Y.; Ohno, R.; Yoshida, K.; Takumi, S. Heterologous expression of wheat WRKY transcription factor genes transcriptionally activated in hybrid necrosis strains alters abiotic and biotic stress tolerance in transgenic Arabidopsis. Plant Physiol. Biochem. 2020, 150, 71–79. [Google Scholar] [CrossRef] [PubMed]
  15. Pnueli, L.; Hallak-Herr, E.; Rozenberg, M.; Cohen, M.; Goloubinoff, P.; Kaplan, A.; Mittler, R. Molecular and biochemical mechanisms associated with dormancy and drought tolerance in the desert legume Retama raetam. Plant J. 2002, 31, 319–330. [Google Scholar] [CrossRef] [Green Version]
  16. Rizhsky, L.; Liang, H.; Mittler, R. The Combined Effect of Drought Stress and Heat Shock on Gene Expression in Tobacco. Plant Physiol. 2002, 130, 1143–1151. [Google Scholar] [CrossRef] [Green Version]
  17. He, G.-H.; Xu, J.-Y.; Wang, Y.-X.; Liu, J.-M.; Li, P.-S.; Chen, M.; Ma, Y.-Z.; Xu, Z.-S. Drought-responsive WRKY transcription factor genes TaWRKY1 and TaWRKY33 from wheat confer drought and/or heat resistance in Arabidopsis. BMC Plant Biol. 2016, 16, 1–16. [Google Scholar] [CrossRef] [Green Version]
  18. HuiYuan, Z.; YongWei, L.; JunFeng, Y.; ShuangXi, Z.; TaiFei, Y.; Jun, C.; Ming, C.; YongBin, Z.; Ma, Y.; ZhaoShi, X.; et al. Identification and Analysis of Salt Tolerance of Wheat Transcription Factor TaWRKY33 Protein. Sci. Agric. Sin. 2018, 51, 4591–4602. [Google Scholar] [CrossRef]
  19. Liu, Y.; Yang, T.; Lin, Z.; Guo, B.; Xing, C.; Zhao, L.; Dong, H.; Gao, J.; Xie, Z.; Zhang, S.; et al. A WRKY transcription factor PbrWRKY53 from Pyrus betulaefolia is involved in drought tolerance and AsA accumulation. Plant Biotechnol. J. 2019, 17, 1770–1787. [Google Scholar] [CrossRef] [Green Version]
  20. Moore, J.P.; Lindsey, G.G.; Farrant, J.M.; Brandt, W.F. BOTANICAL BRIEFINGAn Overview of the Biology of the Desiccation-tolerant Resurrection Plant Myrothamnus flabellifolia. Ann. Bot. 2007, 99, 1241–1242. [Google Scholar] [CrossRef] [Green Version]
  21. Moore, J.P.; Nguema-Ona, E.; Chevalier, L.; Lindsey, G.G.; Brandt, W.F.; Lerouge, P.; Farrant, J.M.; Driouich, A. Response of the Leaf Cell Wall to Desiccation in the Resurrection Plant Myrothamnus flabellifolius. Plant Physiol. 2006, 141, 651–662. [Google Scholar] [CrossRef] [Green Version]
  22. Gashi, B.; Babani, F.; Kongjika, E. Chlorophyll fluorescence imaging of photosynthetic activity and pigment contents of the resurrection plants Ramonda serbica and Ramonda nathaliae during dehydration and rehydration. Physiol. Mol. Biol. Plants 2013, 19, 333–341. [Google Scholar] [CrossRef] [Green Version]
  23. Ülker, B.; Mukhtar, M.S.; Somssich, I.E. The WRKY70 transcription factor of Arabidopsis influences both the plant senescence and defense signaling pathways. Planta 2007, 226, 125–137. [Google Scholar] [CrossRef] [Green Version]
  24. Knoth, C.; Ringler, J.; Dangl, J.L.; Eulgem, T. Arabidopsis WRKY70 Is Required for Full RPP4-Mediated Disease Resistance and Basal Defense against Hyaloperonospora parasitica. Mol. Plant Microbe Interact. 2007, 20, 120–128. [Google Scholar] [CrossRef] [Green Version]
  25. Jiang, C.-H.; Huang, Z.-Y.; Xie, P.; Gu, C.; Li, K.; Wang, D.-C.; Yu, Y.-Y.; Fan, Z.-H.; Wang, C.-J.; Wang, Y.-P.; et al. Transcription factors WRKY70 and WRKY11 served as regulators in rhizobacterium Bacillus cereus AR156-induced systemic resistance to Pseudomonas syringae pv. tomatoDC3000 in Arabidopsis. J. Exp. Bot. 2015, 67, 157–174. [Google Scholar] [CrossRef] [Green Version]
  26. Abbasi, S.; Sadeghi, A.; Safaie, N. Streptomyces alleviate drought stress in tomato plants and modulate the expression of transcription factors ERF1 and WRKY70 genes. Sci. Hortic. 2020, 265, 109206. [Google Scholar] [CrossRef]
  27. Li, J.; Besseau, S.; Törönen, P.; Sipari, N.; Kollist, H.; Holm, L.; Palva, E.T. Defense-related transcription factors WRKY 70 and WRKY 54 modulate osmotic stress tolerance by regulating stomatal aperture in Arabidopsis. New Phytol. 2013, 200, 457–472. [Google Scholar] [CrossRef] [Green Version]
  28. Zhao, H.; Jiang, J.; Li, K.; Liu, G. Populus simonii × Populus nigra WRKY70 is involved in salt stress and leaf blight disease responses. Tree Physiol. 2017, 37, 827–844. [Google Scholar] [CrossRef] [Green Version]
  29. Ma, C.; Wang, H.; Macnish, A.J.; Estrada-Melo, A.C.; Lin, J.; Chang, Y.; Reid, M.S.; Jiang, C.-Z. Transcriptomic analysis reveals numerous diverse protein kinases and transcription factors involved in desiccation tolerance in the resurrection plant Myrothamnus flabellifolia. Hortic. Res. 2015, 2, 15034. [Google Scholar] [CrossRef] [Green Version]
  30. Tamura, K.; Peterson, D.; Peterson, N.; Stecher, G.; Nei, M.; Kumar, S. MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol. Biol. Evol. 2011, 28, 2731–2739. [Google Scholar] [CrossRef] [Green Version]
  31. Clough, S.J.; Bent, A.F. Floral dip: A simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 1998, 16, 735–743. [Google Scholar] [CrossRef] [Green Version]
  32. Yadav, S.; Gill, S.S.; Passricha, N.; Gill, R.; Badhwar, P.; Anjum, N.A.; Francisco, J.-B.J.; Tuteja, N. Genome-wide analysis and transcriptional expression pattern-assessment of superoxide dismutase (SOD) in rice and Arabidopsis under abiotic stresses. Plant Gene 2019, 17, 100165. [Google Scholar] [CrossRef]
  33. Du, Z.; Bramlage, W.J. Modified thiobarbituric acid assay for measuring lipid oxidation in sugar-rich plant tissue extracts. J. Agric. Food Chem. 1992, 40, 1566–1570. [Google Scholar] [CrossRef]
  34. Giannopolitis, C.N.; Ries, S.K. Superoxide Dismutases. Plant Physiol. 1977, 59, 309–314. [Google Scholar] [CrossRef]
  35. Zheng, X.; Tian, S.; Meng, X.; Li, B. Physiological and biochemical responses in peach fruit to oxalic acid treatment during storage at room temperature. Food Chem. 2007, 104, 156–162. [Google Scholar] [CrossRef]
  36. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  37. Lorens, G.F.; Bennett, J.M.; Loggale, L.B. Differences in Drought Resistance between Two Corn Hybrids. I. Water Relations and Root Length Density 1. Agron. J. 1987, 79, 802–807. [Google Scholar] [CrossRef]
  38. Ekanayake, I.J.; O’Toole, J.C.; Garrity, D.P.; Masajo, T.M. Inheritance of Root Characters and their Relations to Drought Resistance in Rice 1. Crop. Sci. 1985, 25, 927–933. [Google Scholar] [CrossRef]
  39. O’Toole, J.C. Soemartono Evaluation of a simple technique for characterizing rice root systems in relation to drought resistance. Euphytica 1981, 30, 283–290. [Google Scholar] [CrossRef]
  40. Reicosky, D.C.; Deaton, D.E. Soybean Water Extraction, Leaf Water Potential, and Evapotranspiration during Drought 1. Agron. J. 1979, 71, 45–50. [Google Scholar] [CrossRef]
  41. Zhao, H.; Wang, S.; Chen, S.; Jiang, J.; Liu, G. Phylogenetic and stress-responsive expression analysis of 20 WRKY genes in Populus simonii × Populus nigra. Gene 2015, 565, 130–139. [Google Scholar] [CrossRef]
  42. Qiu, Y.; Yu, D. Over-expression of the stress-induced OsWRKY45 enhances disease resistance and drought tolerance in Arabidopsis. Environ. Exp. Bot. 2009, 65, 35–47. [Google Scholar] [CrossRef]
  43. Cheng, X.; Zhao, Y.; Jiang, Q.; Yang, J.; Zhao, W.; A Taylor, I.; Peng, Y.-L.; Wang, D.; Liu, J. Structural basis of dimerization and dual W-box DNA recognition by rice WRKY domain. Nucleic Acids Res. 2019, 47, 4308–4318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ueno, Y.; Yoshida, R.; Kishi-Kaboshi, M.; Matsushita, A.; Jiang, C.-J.; Goto, S.; Takahashi, A.; Hirochika, H.; Takatsuji, H. Abiotic Stresses Antagonize the Rice Defence Pathway through the Tyrosine-Dephosphorylation of OsMPK6. PLoS Pathog. 2015, 11, e1005231. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Jezek, M.; Blatt, M.R. The Membrane Transport System of the Guard Cell and Its Integration for Stomatal Dynamics. Plant Physiol. 2017, 174, 487–519. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Zoulias, N.; Harrison, E.L.; Casson, S.A.; Gray, J.E. Molecular control of stomatal development. Biochem. J. 2018, 475, 441–454. [Google Scholar] [CrossRef] [Green Version]
  47. Molinari, H.B.C.; Marur, C.J.; Daros, E.; De Campos, M.K.F.; De Carvalho, J.F.R.P.; Filho, J.C.B.; Pereira, L.F.P.; Vieira, L.G.E. Evaluation of the stress-inducible production of proline in transgenic sugarcane (Saccharum spp.): Osmotic adjustment, chlorophyll fluorescence and oxidative stress. Physiol. Plant. 2007, 130, 218–229. [Google Scholar] [CrossRef]
  48. Sánchez, F.J.; Manzanares, M.; De Andres, E.F.; Tenorio, J.L.; Ayerbe, L. Turgor maintenance, osmotic adjustment and soluble sugar and proline accumulation in 49 pea cultivars in response to water stress. Field Crop. Res. 1998, 59, 225–235. [Google Scholar] [CrossRef]
  49. Alexieva, V.; Sergiev, I.; Mapelli, S.; Karanov, E. The effect of drought and ultraviolet radiation on growth and stress markers in pea and wheat. Plant Cell Environ. 2001, 24, 1337–1344. [Google Scholar] [CrossRef]
  50. Skopelitis, D.S.; Paranychianakis, N.V.; Paschalidis, K.A.; Pliakonis, E.D.; Delis, I.D.; Yakoumakis, D.I.; Kouvarakis, A.; Papadakis, A.K.; Stephanou, E.G.; Roubelakis-Angelakis, K.A. Abiotic Stress Generates ROS That Signal Expression of Anionic Glutamate Dehydrogenases to Form Glutamate for Proline Synthesis in Tobacco and Grapevine. Plant Cell 2006, 18, 2767–2781. [Google Scholar] [CrossRef] [Green Version]
  51. Heath, R.L.; Packer, L. Photoperoxidation in isolated chloroplasts. Arch. Biochem. Biophys. 1968, 125, 189–198. [Google Scholar] [CrossRef]
  52. Silva, V.M.; Boleta, E.H.M.; Lanza, M.G.D.B.; Lavres, J.; Martins, J.T.; Santos, E.F.; Dos Santos, F.L.M.; Putti, F.F.; Junior, E.F.; White, P.J.; et al. Physiological, biochemical, and ultrastructural characterization of selenium toxicity in cowpea plants. Environ. Exp. Bot. 2018, 150, 172–182. [Google Scholar] [CrossRef] [Green Version]
  53. Taulavuori, E.; Hellström, E.; Taulavuori, K.; Laine, K. Comparison of two methods used to analyse lipid peroxidation from Vaccinium myrtillus (L.) during snow removal, reacclimation and cold acclimation. J. Exp. Bot. 2001, 52, 2375–2380. [Google Scholar] [CrossRef] [Green Version]
  54. Ampofo, J.O.; Ngadi, M. Stimulation of the phenylpropanoid pathway and antioxidant capacities by biotic and abiotic elicitation strategies in common bean (Phaseolus vulgaris) sprouts. Process. Biochem. 2021. [Google Scholar] [CrossRef]
  55. Zhong, M.; Song, R.; Wang, Y.; Shu, S.; Sun, J.; Guo, S. TGase regulates salt stress tolerance through enhancing bound polyamines-mediated antioxidant enzymes activity in tomato. Environ. Exp. Bot. 2020, 179, 104191. [Google Scholar] [CrossRef]
  56. Tran, L.P.; Nakashima, K.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Chapter Six—Plant Gene Net-works in Osmotic Stress Response: From Genes to Regulatory Networks. In Methods in Enzymology; Häussinger, D., Sies, H., Eds.; Osmosensing and Osmosignaling; Academic Press: London, UK, 2007; Volume 428, pp. 109–128. [Google Scholar]
  57. Mattioli, R.; Marchese, D.; D’Angeli, S.; Altamura, M.M.; Costantino, P.; Trovato, M. Modulation of intracellular proline levels affects flowering time and inflorescence architecture in Arabidopsis. Plant Mol. Biol. 2008, 66, 277–288. [Google Scholar] [CrossRef]
  58. Narusaka, Y.; Nakashima, K.; Shinwari, Z.K.; Sakuma, Y.; Furihata, T.; Abe, H.; Narusaka, M.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Interaction between two cis-acting elements, ABRE and DRE, in ABA-dependent expression of Arabidopsis rd29A gene in response to dehydration and high-salinity stresses. Plant J. 2003, 34, 137–148. [Google Scholar] [CrossRef] [PubMed]
  59. Kasuga, M.; Liu, Q.; Miura, S.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Improving plant drought, salt, and freezing tolerance by gene transfer of a single stress-inducible transcription factor. Nat. Biotechnol. 1999, 17, 287–291. [Google Scholar] [CrossRef]
  60. Agarwal, P.K.; Jha, B. Transcription factors in plants and ABA dependent and independent abiotic stress signalling. Biol. Plant. 2010, 54, 201–212. [Google Scholar] [CrossRef]
  61. Jiang, Y.; Liang, G.; Yu, D. Activated Expression of WRKY57 Confers Drought Tolerance in Arabidopsis. Mol. Plant 2012, 5, 1375–1388. [Google Scholar] [CrossRef] [Green Version]
  62. Anoop, N.; Gupta, A.K. Transgenic indica Rice cv IR-50 Over-expressing Vigna aconitifolia Δ1-Pyrroline -5- Carboxylate Synthetase cDNA Shows Tolerance to High Salt. J. Plant Biochem. Biotechnol. 2003, 12, 109–116. [Google Scholar] [CrossRef]
  63. Hmida-Sayari, A.; Gargouri-Bouzid, R.; 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, 746–752. [Google Scholar] [CrossRef]
  64. Su, J.; Wu, R. Stress-inducible synthesis of proline in transgenic rice confers faster growth under stress conditions than that with constitutive synthesis. Plant Sci. 2004, 166, 941–948. [Google Scholar] [CrossRef]
  65. Vendruscolo, E.C.G.; Schuster, I.; Pileggi, M.; Scapim, C.A.; Molinari, H.B.C.; Marur, C.J.; Vieira, L.G.E. Stress-induced synthesis of proline confers tolerance to water deficit in transgenic wheat. J. Plant Physiol. 2007, 164, 1367–1376. [Google Scholar] [CrossRef] [PubMed]
  66. Iuchi, S.; Kobayashi, M.; Taji, T.; Naramoto, M.; Seki, M.; Kato, T.; Tabata, S.; Kakubari, Y.; Yamaguchi-Shinozaki, K.; Shinozaki, K. Regulation of drought tolerance by gene manipulation of 9-cis-epoxycarotenoid dioxygenase, a key enzyme in abscisic acid biosynthesis in Arabidopsis. Plant J. 2001, 27, 325–333. [Google Scholar] [CrossRef] [Green Version]
  67. Zhao, X.; Yang, X.; Pei, S.; Shengqiang, P.; Wang, X.; Tang, Q.; Jia, C.; Lu, Y.; Chunlin, J.; Zhou, G. The Miscanthus NAC transcription factor MlNAC9 enhances abiotic stress tolerance in transgenic Arabidopsis. Gene 2016, 586, 158–169. [Google Scholar] [CrossRef]
  68. Yang, R.; Wang, T.; Shi, W.; Li, S.; Liu, Z.; Wang, J.; Yang, Y. E3 ubiquitin ligase ATL61 acts as a positive regulator in abscisic acid mediated drought response in Arabidopsis. Biochem. Biophys. Res. Commun. 2020, 528, 292–298. [Google Scholar] [CrossRef] [PubMed]
Biomolecules 11 00327 g001 550
Figure 1. Sequence analysis and phylogenetic analysis of MfWRKY70. (a) Multiple alignment of deduced amino acid sequences; identical and similar amino acids are shaded in black and brown, the characteristic site of WRKY protein zinc finger structure is indicated by the arrowhead; phosphorylation sites are indicated by dots. (b) Phylogenetic tree constructed using the neighbor-joining method. MfWRKY70 is shaded. The GenBank accession numbers and corresponding species are listed in Supplementary Table S2.
Figure 1. Sequence analysis and phylogenetic analysis of MfWRKY70. (a) Multiple alignment of deduced amino acid sequences; identical and similar amino acids are shaded in black and brown, the characteristic site of WRKY protein zinc finger structure is indicated by the arrowhead; phosphorylation sites are indicated by dots. (b) Phylogenetic tree constructed using the neighbor-joining method. MfWRKY70 is shaded. The GenBank accession numbers and corresponding species are listed in Supplementary Table S2.
Biomolecules 11 00327 g001
Biomolecules 11 00327 g002 550
Figure 2. Subcellular localization of MfWRKY70-YFP fusion proteins. Fluorescence of yellow fluorescent protein (YFP) was detected in the nucleus of tobacco cells expressing MfWRKY70-YFP, and tobacco cells transformed with 35S::YFP was used as a control (upper lane).
Figure 2. Subcellular localization of MfWRKY70-YFP fusion proteins. Fluorescence of yellow fluorescent protein (YFP) was detected in the nucleus of tobacco cells expressing MfWRKY70-YFP, and tobacco cells transformed with 35S::YFP was used as a control (upper lane).
Biomolecules 11 00327 g002
Biomolecules 11 00327 g003 550
Figure 3. Phenotypic analysis of overexpression (OE) lines and wild type (WT) upon osmotic and salinity stresses at the seedling stage. (a) Relative expression levels of MfWRKY70 in OE lines measured by qRT-PCR. Data are presented as mean and SD values of three technical and three biological replicates. Different letters above the columns indicated that the expression levels are significantly different from each other at p < 0.05 (LSD multiple comparison test after ANOVA). (b,c) Morphology of OE lines and WT seedlings grown on medium containing different amounts of mannitol and NaCl for one week. (d,e) Root length of one-week-old OE lines and WT seedlings containing different amounts of mannitol and NaCl, respectively. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (** p < 0.01, by Student’s t-test) comparing to WT.
Figure 3. Phenotypic analysis of overexpression (OE) lines and wild type (WT) upon osmotic and salinity stresses at the seedling stage. (a) Relative expression levels of MfWRKY70 in OE lines measured by qRT-PCR. Data are presented as mean and SD values of three technical and three biological replicates. Different letters above the columns indicated that the expression levels are significantly different from each other at p < 0.05 (LSD multiple comparison test after ANOVA). (b,c) Morphology of OE lines and WT seedlings grown on medium containing different amounts of mannitol and NaCl for one week. (d,e) Root length of one-week-old OE lines and WT seedlings containing different amounts of mannitol and NaCl, respectively. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (** p < 0.01, by Student’s t-test) comparing to WT.
Biomolecules 11 00327 g003
Biomolecules 11 00327 g004 550
Figure 4. Analysis of OE lines and wild type (WT) upon drought and salinity stress at the adult stage. (a,b) Morphology of OE lines and WT plants growing under drought and salinity treatment. (c) Water loss rates of leaves in vitro measured at room-temperature of 25 °C. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant differences (* p < 0.05, ** p < 0.01, by Student’s t-test) compared to WT.
Figure 4. Analysis of OE lines and wild type (WT) upon drought and salinity stress at the adult stage. (a,b) Morphology of OE lines and WT plants growing under drought and salinity treatment. (c) Water loss rates of leaves in vitro measured at room-temperature of 25 °C. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant differences (* p < 0.05, ** p < 0.01, by Student’s t-test) compared to WT.
Biomolecules 11 00327 g004
Biomolecules 11 00327 g005 550
Figure 5. Evaluation of physiological indices responsive to stress. (a,b) Stomatal aperture of MfWRKY70 transgenic and WT in response to 200 mM mannitol and 20 μM ABA treatments. (c,d) Malondialdehyde (MDA) content (c) and proline (Pro) content (d) were measured in OE lines and wild type (WT) plants upon drought and salinity stress at four weeks old. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Figure 5. Evaluation of physiological indices responsive to stress. (a,b) Stomatal aperture of MfWRKY70 transgenic and WT in response to 200 mM mannitol and 20 μM ABA treatments. (c,d) Malondialdehyde (MDA) content (c) and proline (Pro) content (d) were measured in OE lines and wild type (WT) plants upon drought and salinity stress at four weeks old. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Biomolecules 11 00327 g005
Biomolecules 11 00327 g006 550
Figure 6. Alterations in reactive oxygen species (ROS) levels and antioxidant enzyme activities in MfWRKY70 transgenic and WT Arabidopsis. (a,b) Histochemical staining by 3,3′-diaminobenzidine (DAB) (a) and nitroblue tetrazolium (NBT) (b); (c,d) H2O2 content and anti-superoxide anion activity in MfWRKY70 transgenic and WT Arabidopsis. (e–g) Alterations of Activities of antioxidant enzymes superoxide dismutase (SOD) (e), catalase (CAT) (f), and peroxidase (POD) (g). Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Figure 6. Alterations in reactive oxygen species (ROS) levels and antioxidant enzyme activities in MfWRKY70 transgenic and WT Arabidopsis. (a,b) Histochemical staining by 3,3′-diaminobenzidine (DAB) (a) and nitroblue tetrazolium (NBT) (b); (c,d) H2O2 content and anti-superoxide anion activity in MfWRKY70 transgenic and WT Arabidopsis. (e–g) Alterations of Activities of antioxidant enzymes superoxide dismutase (SOD) (e), catalase (CAT) (f), and peroxidase (POD) (g). Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Biomolecules 11 00327 g006
Biomolecules 11 00327 g007 550
Figure 7. Expression levels of stress-responsive genes in MfWRKY70 transgenic Arabidopsis upon drought and salinity stress tolerance. Expression levels of P5CS (a), NCED3 (b), and RD29A (c) were measured by qRT-PCR in MfWRKY70 transgenic and WT Arabidopsis treated by 10% PEG-6000 or 300 mM NaCl. AtActin2 was used as an internal control. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Figure 7. Expression levels of stress-responsive genes in MfWRKY70 transgenic Arabidopsis upon drought and salinity stress tolerance. Expression levels of P5CS (a), NCED3 (b), and RD29A (c) were measured by qRT-PCR in MfWRKY70 transgenic and WT Arabidopsis treated by 10% PEG-6000 or 300 mM NaCl. AtActin2 was used as an internal control. Data are presented as mean and SD values of three independent experiments. Asterisks indicate significant difference (* p < 0.05, ** p < 0.01, by Student’s t-test) comparing to WT.
Biomolecules 11 00327 g007
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Xiang, X.-Y.; Chen, J.; Xu, W.-X.; Qiu, J.-R.; Song, L.; Wang, J.-T.; Tang, R.; Chen, D.; Jiang, C.-Z.; Huang, Z. Dehydration-Induced WRKY Transcriptional Factor MfWRKY70 of Myrothamnus flabellifolia Enhanced Drought and Salinity Tolerance in Arabidopsis. Biomolecules 2021, 11, 327. https://0-doi-org.brum.beds.ac.uk/10.3390/biom11020327

AMA Style

Xiang X-Y, Chen J, Xu W-X, Qiu J-R, Song L, Wang J-T, Tang R, Chen D, Jiang C-Z, Huang Z. Dehydration-Induced WRKY Transcriptional Factor MfWRKY70 of Myrothamnus flabellifolia Enhanced Drought and Salinity Tolerance in Arabidopsis. Biomolecules. 2021; 11(2):327. https://0-doi-org.brum.beds.ac.uk/10.3390/biom11020327

Chicago/Turabian Style

Xiang, Xiang-Ying, Jia Chen, Wen-Xin Xu, Jia-Rui Qiu, Li Song, Jia-Tong Wang, Rong Tang, Duoer Chen, Cai-Zhong Jiang, and Zhuo Huang. 2021. "Dehydration-Induced WRKY Transcriptional Factor MfWRKY70 of Myrothamnus flabellifolia Enhanced Drought and Salinity Tolerance in Arabidopsis" Biomolecules 11, no. 2: 327. https://0-doi-org.brum.beds.ac.uk/10.3390/biom11020327

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop