- Research article
- Open Access
Drought-responsive WRKY transcription factor genes TaWRKY1 and TaWRKY33 from wheat confer drought and/or heat resistance in Arabidopsis
- Guan-Hua He†1,
- Ji-Yuan Xu†1,
- Yan-Xia Wang2,
- Jia-Ming Liu1,
- Pan-Song Li1,
- Ming Chen1,
- You-Zhi Ma1 and
- Zhao-Shi Xu1Email author
© He et al. 2016
- Received: 8 December 2015
- Accepted: 17 May 2016
- Published: 23 May 2016
Drought stress is one of the major causes of crop loss. WRKY transcription factors, as one of the largest transcription factor families, play important roles in regulation of many plant processes, including drought stress response. However, far less information is available on drought-responsive WRKY genes in wheat (Triticum aestivum L.), one of the three staple food crops.
Forty eight putative drought-induced WRKY genes were identified from a comparison between de novo transcriptome sequencing data of wheat without or with drought treatment. TaWRKY1 and TaWRKY33 from WRKY Groups III and II, respectively, were selected for further investigation. Subcellular localization assays revealed that TaWRKY1 and TaWRKY33 were localized in the nuclei in wheat mesophyll protoplasts. Various abiotic stress-related cis-acting elements were observed in the promoters of TaWRKY1 and TaWRKY33. Quantitative real-time PCR (qRT-PCR) analysis showed that TaWRKY1 was slightly up-regulated by high-temperature and abscisic acid (ABA), and down-regulated by low-temperature. TaWRKY33 was involved in high responses to high-temperature, low-temperature, ABA and jasmonic acid methylester (MeJA). Overexpression of TaWRKY1 and TaWRKY33 activated several stress-related downstream genes, increased germination rates, and promoted root growth in Arabidopsis under various stresses. TaWRKY33 transgenic Arabidopsis lines showed lower rates of water loss than TaWRKY1 transgenic Arabidopsis lines and wild type plants during dehydration. Most importantly, TaWRKY33 transgenic lines exhibited enhanced tolerance to heat stress.
The functional roles highlight the importance of WRKYs in stress response.
- Drought tolerance
- WRKY transcription factor
- Stress response mechanisms
- Triticum aestivum
Being unable to move, plants have developed a series of complex mechanisms to cope with abiotic and biotic stresses. Recognition of stress cues and transduction of signals to activate adaptive responses and regulation of stress-related genes are key steps leading to plant stress tolerance [1–4].
Due to the potential impact on agricultural production much attention has been focused on abiotic stress factors. Abiotic stresses initiate the synthesis of different types of proteins, including transcription factors, enzymes, molecular chaperones, ion channels, and transporters . Transcriptional regulation mechanisms play a critical role in plant development and responses to environmental stimuli [4, 6, 7]. Transcription factors, with specific DNA-binding domains (DBD) and trans-acting functional domains, can combine with specific DNA sequences to activate or inhibit transcription of downstream genes. Using transcription factors to improve the tolerance of plants to abiotic stresses is a promising strategy due to the ability of transcription factors to modulate a set of genes through binding to either promoter or enhancer region of a gene . Overexpression of constitutive active DREB2A which had a transcriptional activation domain between residues 254 and 335 resulted in significant drought stress tolerance through regulates expression of many water stress-inducible genes . In our previous study, GmHsf-34 gene improved drought and heat stresses tolerance in Arabidopsis plants . These studies indicate the potential for improvement of abiotic stress tolerance in plants through transcriptional regulation.
WRKY transcription factors, one of the ten largest transcription factor families, are characterized by a highly conserved WRKYGQK heptapeptide at the N-terminus and a zinc finger-like motif at the C-terminus . Conservation of the WRKY domain is mirrored by a remarkable conservation of its cognate binding site, the W box (TTGACC⁄T) [11–13]. A few WRKY proteins which show slight variations in the heptapeptide WRKYGQK motif can not bind the W box and may bind the WK box (TTTTCCAC) [14–17]. WRKYs are divided into three groups based on the number of WRKY domains and type of zinc finger motif. The first group has two WRKY domains. Groups II and III have a single WRKY domain and are distinguished according to the type of zinc finger motif . Groups I and II share the same C2H2 zinc finger motif whereas group III contains a C2-HC-type motif . Later, according to a more accurate phylogenetic analysis, Zhang and Wang divided WRKY factors into Groups I, IIa + IIb, IIc, IId + IIe, and III with Group II genes not being monophyletic .
Increasing data indicates that WRKY genes are rapidly induced by pathogen infection and exogenous phytohormones [19–25]. Forty nine of 72 Arabidopsis WRKY genes were differentially regulated after infection by Pseudomonas syringae or SA treatment . Transcript abundance of 13 canola WRKY genes changed after pathogen infection . Similarly, 28 grape WRKY genes showed various transcription expression in response to biotic stress caused by grape white rot and/or salicylic acid (SA). Among them 16 WRKY genes were upregulated by both pathogenic white rot bacteria and SA, indicating that these WRKY genes participated in the SA-dependent defense signal pathway . Heterologous expression of OsWRKY6 activated defense-related genes and enhanced resistance to pathogens in Arabidopsis . Recently, it was reported that the OsMKK4-OsMPK3/OsMPK6 cascade regulates transactivation activity of OsWRKY53, and a phospho-mimic mutant of OsWRKY53 resulted in further-enhanced disease resistance against the blast fungus in rice compared to native OsWRKY53 .
In comparison with research progress on biotic stresses, the functions of WRKYs in abiotic stresses are far less known [29–36]. Increasing numbers of reports are showing that WRKYs respond to abiotic stress and abscisic acid (ABA) signaling in plants [37–41]. Several Arabidopsis WRKY genes can be induced by drought and/or cold stress [42, 43]. AtWRKY46 regulated osmotic stress responses and stomatal movement independently in Arabidopsis . OsWRKY08 improved the osmotic stress tolerance of transgenic Arabidopsis through positive regulation of the expression of ABA-independent abiotic stress responsive genes . Overexpression and RNAi analysis demonstrated that GmWRKY27 improved salt and drought tolerance in transgenic soybean hairy roots by inhibits expression of a downstream gene GmNAC29 which was a negative factor of stress tolerance . Therefore, WRKYs play a broad-spectrum regulatory role as positive and negative regulators in response to biotic and abiotic stresses, senescence, seed development and seed germination [17, 25, 47].
Drought stress is one of the most severe environmental factors restricting crop distribution and production. The molecular mechanisms underlying plant tolerance to drought stress are still not fully understood because of the complex nature . Bread wheat (Triticum aestivum L.) is one of the most widely cultivated and important food crops in the world. Drought affects growth and productivity of wheat, and reduces yields worldwide. It was recently reported that wheat TaWRKY2 and TaWRKY19 conferred tolerance to drought stress in transgenic plants . To investigate putative drought-mediated WRKY genes, we performed de novo transcriptome sequencing of drought-treated wheat, and identified 48 wheat drought-responsive WRKY genes. We further investigated stress tolerance conferred by TaWRKY1 and TaWRKY33 in transgenic Arabidopsis. The present study investigated the possibility of improving stress tolerance in plants by screening stress responsive candidate genes.
Identification of drought-responsive WRKY genes in wheat
Drought-induced responsive WRKY genes in wheat
Log fold change
Sequence analysis of TaWRKY1 and TaWRKY33
TaWRKY1 and TaWRKY33 were localized in the nucleus
Stress-related regulatory elements in the TaWRKY1 and TaWRKY33 promoters
Putative cis-acting elements in the TaWRKY1 and TaWRKY33 promoters
Functions of elements in the TaWRKY1 and TaWRKY33 promoters
ABA- and drought-responsive elements
Drought- and cold-responsive elements
ABA- and drought-responsive elements
Drought-, high salt- and cold-responsive elements
Low-temperature responsive element
ABA- and drought-responsive elements
ABA- and drought-responsive elements
GA- and ABA-responsive elements
Response mechanisms of TaWRKY1 and TaWRKT33 under abiotic stress
By comparison, TaWRKY33 rapidly responded to high-temperature, ABA and MeJA, with peak levels (more than 35-fold) occurring after one h of treatment. Low-temperature also activated transcription of TaWRKY33, with peak transcription levels earlier than those for drought, high-temperature, ABA and MeJA.
Improved drought and ABA tolerance and decreased rates of water loss in transgenic Arabidopsis
ABA tolerance of TaWRKY1 and TaWRKY33 transgenic lines was identified by seed germination rates of Arabidopsis on MS media containing ABA. Average germination rates of TaWRKY1 transgenic lines were about 82 % compared to 75 % for WT in 0.5 μM ABA-supplemented MS media, meanwhile the germination rates of TaWRKY33 transgenic lines were higher than those of the TaWRKY1 transgenic lines and WT (Additional file 2: Figure S1C and S1F). Treated with 1 μM ABA, TaWRKY33 transgenic lines exhibited obviously higher seed germination rates than those of WT, and TaWRKY1 transgenic lines shared almost the same germination rates with WT (Additional file 2: Figure S1D and S1G).
Enhanced thermotolerance of TaWRKY33 transgenic lines
Changed transcripts of stress-responsive genes
The functions of WRKYs have been extensively explored in various plant species over the past ten years, especially in Arabidopsis and rice. Little information existed about the role of wheat WRKYs in mediating abiotic responses. Recently, Sezer et al. characterized 160 TaWRKYs according to sequence similarity, motif type and phylogenetic relationships, improving knowledge of WRKYs in wheat . In the present study, 48 putative drought-responsive WRKY genes were identified from de novo transcriptome sequencing data of drought-treated wheat. The phylogenic tree revealed that most drought-responsive WRKYs belonged to Groups II and III (Fig. 1). Recent investigations showed that most WRKYs in these groups function in drought tolerance in many plant species. For example, WRKY63/ABO3, belonging to Group III, mediated responses to ABA and drought tolerance in Arabidopsis . Similarly, AtWRKY57 and GmWRKY54, which were identified as group II, were induced by drought and their expression conferred drought tolerance in Arabidopsis [48, 56]. In the present study TaWRKY1 and TaWRKY33, members of Groups II and III, conferred drought tolerance in Arabidopsis (Figs. 6, 7, 8 and 9). Therefore, it was supposed that WRKYs in these groups might be involved in drought stress response.
WRKYs are important in many aspects of plant defense, including MAMP- (MTI) or PAMP-triggered (PTI) immunity, effector-triggered immunity (ETI) and systemin acquired resistance [56–64]. Increasing evidence shows that WRKYs are activated not only by disease-related stimuli and pathogen infection, but also by multiple abiotic stresses [17, 18, 52]. For example, 10 of 13 rice and 8 of 15 wheat WRKY genes responded to PEG6000, salt, cold or heat stresses [65, 66]. TaWRKY44 may act as a positive regulator in drought, salt and osmotic stress responses . Overexpression of GhWRKY25 conferred tolerance to salt stress in tobacco . In the present study, except for drought response, TaWRKY33 was involved in strong responses to high- and low-temperature and ABA, possibly related to cis-elements in the promoter (Tables 2 and 3). For instance, the TaWRKY33 promoter contained multiple ABRE and LTRE elements that might be responsible for low-temperature and exogenous ABA. The ELRE might induce large responses of TaWRKY33 to abiotic stresses. In addition, TaWRKY33 was highly induced by MeJA although there is no MeJA-related element. This could be the reason why MeJA-related elements had not been identified previously.
ABA is regarded to play a crucial role in plant abiotic stress response and development and is considered to be a negative regulator of biotrophic pathogen resistance [27, 69]. It has been reported that ABA-dependent and ABA-independent pathways exist in stress response . DREB2s play important roles in ABA-independent pathway and often as marker genes in stress responses . A number of transcription factors and their target genes are involved in mediating ABA signal transduction and have been shown to regulate many molecular and cellular responses . Previous studies show that ABI1/2 and AtWRKY40 are key regulatory components of ABA receptors RCARs and ABAR, respectively. ABI5, a positive regulator of ABA signaling, exists in the downstream of ABI1/2 and AtWRKY40. They are key players in ABA signal transduction and act by negatively regulating ABA response. ABA synthesis genes ABA1 and ABA2 were both detected in these studies, implying an acceleration of ABA production. Consistent with that, transcript abundance of ABI5 also increased (Fig. 10), demonstrating that TaWRKY33 likely increased the level of drought tolerance by increasing traffic through the ABA synthesis and transduction pathways.
It was reported that RD29A was induced by dehydration, low-temperature, high salinity or exogenous ABA. The promoter region of RD29A contains the cis-acting DRE that is involved in expression of RD29A rapidly responding to dehydration and high salinity stresses in Arabidopsis. Here, RD29A was up-regulated in TaWRKY33 transgenic lines (Fig. 10), suggesting that TaWRKY33 acts as a positive regulator in hyperosmotic stress response in Arabidopsis. These studies collectively demonstrated that TaWRKY33 might play a key role in ABA- and drought-responsive signaling networks. Overexpression of wheat TaWRKY2 enhanced STZ expression, whereas TaWRKY19 promoted DREB2A-mediated activation of RD29A, RD29B and Cor6.6, resulting in tolerance to salt and drought in transgenic plants . Therefore, wheat WRKYs affected stress tolerance through regulation of different downstream genes. Taken together, a model was proposed in which TaWRKY1 and TaWRKY33 transcription was activated under abiotic stress (Additional file 4: Figure S3). The MeJA-mediated signaling pathway is relevant to resistance to necrotrophic pathogens, wounding and insect herbivores [72–74]. The ABA and the JA could jointly modulate stress-related gene expression despite antagonistic interactions between the ABA and the JA/ET signaling pathways, they also . In the present study, TaWRKY33 was moderately and highly responsive to ABA and MeJA, respectively (Fig. 5). These results indicated that TaWRKY33 could coordinately integrate the ABA and the MeJA pathways, but not antagonize them. Therefore, we speculate that TaWRKY33 might have roles in interaction of the ABA and MeJA signaling pathways and might be related to both abiotic stress tolerance and disease responses in plants.
Forty-eight putative drought-responsive WRKY genes were identified from de novo transcriptome sequencing data of drought-treated wheat. They were classified into three groups, according to sequence similarity and motif identity. TaWRKY1 and TaWRKY33, belonging to Groups II and III, were selected for further investigation. Both TaWRKY1 and TaWRKY33 responded to multiple stresses. Overexpression of TaWRKY1 and TaWRKY33 activated several stress-related downstream genes, increased germination rates and promoted root growth in Arabidopsis under stresses. These studies provide candidate genes for future functional analysis of TaWRKYs involved in the drought- and heat-related signal pathways in wheat.
De novo sequencing of drought-treated wheat
Total RNA was isolated using TRIzol reagent (Invitrogen) and treated with RNase free DNase I (Qiagen). Poly (A) mRNA was purified from total RNA using oligo (dT) magnetic beads and fragmented into small pieces using divalent cations. First-strand cDNA was generated using reverse transcriptase and random primers. This was followed by synthesis of the second-strand cDNA. Then, single-end and paired-end RNA-seq libraries were prepared following Illumina’s protocols and sequenced on the Illumina GA II platform [76, 77].
De novo assembly of the short reads was performed using SOAPdenovo software (http://soap.genomics.org.cn), which adopts the de Bruijn graph data structure that is sensitive to the sequencing error to construct contigs . According to the overlap information in the short reads, the reads were then realigned to the contig sequence with high coverage, and the paired-end relationship between reads was transferred to linkage between contigs. Unreliable linkages between two contigs were filtered and the remaining contigs with compatible connections to each other, and having at least three read-pairs, were constructed into scaffolds. We constructed scaffolds starting with short paired-ends and then iterated the scaffolding process, step by step, using longer insert size paired-ends. To fill the intra-scaffold gaps, we used paired-end information to retrieve read pairs that had one read with one end mapped to the contigs and another read located in the gap region, and then did a local assembly with the unmapped end to extend the contig sequence in the small gaps in the scaffolds.
Gene expression profiling was measured by mapping reads to assembled sequences using SOAP . The most widely used approach is to count uniquely mapped reads. Then the FPKM value for each transcript was measured in Fragments Per kb per Million fragments . We then used the False Discovery Rate (FDR) method to determine the threshold of the p-value in multiple tests. FDR ≤ 0.001 and a relative change threshold of two-fold were used to judge the significance of differentiated gene expression. The analysis firstly maps all differentially expressed genes (DEGs) to GO terms in the database by virtue of calculating gene numbers for every term, followed by an ultra-geometric test to find significantly enriched GO terms in DEGs compared to the transcriptome background. The calculated p- value was subjected to a Bonferroni Correction, taking a corrected p-value of 0.05 as a threshold. GO terms fulfilling this condition were defined as significantly enriched GO terms in DEGs . For pathway enrichment analysis, we mapped all DEGs to terms in KEGG database.
Plant materials and stress treatments
Wheat (T. aestivum cv. Xiaobaimai) seedlings which were provided by Dr Rui-Lian Jing (Institute of Crop Science, Chinese Academy of Agricultural Sciences) were grown in Hoagland’s liquid medium at 22 °C under a 16 h light/8 h darkness photoperiod. Ten-day-old seedlings were used for dehydration, high-temperature, low-temperature, MeJA and ABA treatments. Seedlings on filter paper were exposed to air for induction of rapid drought conditions, or placed in 4 and 42 °C chambers for low and high-temperature treatments, respectively. For dehydration treatment, seedlings were transferred to filter paper and dried at 25 °C under normal conditions. For MeJA and ABA treatments, seedling roots were immersed in solutions containing 100 μM MeJA and 100 μM ABA, respectively. The samples were harvested at 0, 0.5, 1, 2, 4, 8, 12 and 24 h.
RNA extraction and qRT-PCR analyses
Total RNA was extracted using Trizol reagent according to the manufacturer’s protocol (TIANGEN, China) and treated with DNase I (TaKaRa, Japan) to remove genomic DNA contamination. First strand cDNA was synthesized using a PrimeScript First-Strand cDNA Synthesis Kit (TaKaRa) following the manufacturer’s instructions. qRT-PCR was conducted using an ABI Prism 7500 system (Applied Biosystems, Foster City, CA). The actin gene was used as an internal control for normalization of template cDNA. Each PCR was repeated three times in total volumes of 20 μl containing 2 × Taq PCR Master Mix (TIANGEN). Validation experiments were performed to demonstrate that amplification efficiencies of the TaWRKY1- and TaWRKY33-specific primers were approximately equal to the amplification efficiency of the endogenous reference primers. Quantitative and data analyes were performed as previously described .
Gene isolation and sequence analysis
Open reading frames of TaWRKY1 (Genbank No. KT285206) and TaWRKY33 (Genbank No. KT285207) were amplified by PCR using specific primers. PCR products were cloned into pEASY-T1 vectors (TransGen, China) and sequenced with an ABI 3730XL 96-capillary DNA analyzer (Lifetech, America).
Maximum likelihood was used to construct phylogenetic trees by the MEGA5.1 program, and the confidence levels of monophyletic groups were estimated using bootstrap analyses of 1000 replicates .
Predicted protein domains of TaWRKY1 and TaWRKY33 were identified by the SMART tool (http://smart.embl-heidelberg.de/), and their tertiary structures were obtained using the Phyre2 tool (http://www.sbg.bio.ic.ac.uk/phyre2).
Plasmid construction for subcellular localization analysis
The open reading frames of TaWRKY1 and TaWRKY33 were inserted into N-terminal GFP protein driven by the CaMV 35S promoter of subcellular localization vector p16318 . For transient expression assays, mesophyll protoplasts were isolated, transfected with p16318::TaWRKY1 and p16318::TaWRKY33, and GFP fluorescence signals were observed with a confocal laser scanning microscope (Nikon, Japan). FM4-64 dye (Molecular Probes, Carlsbad, CA) was excitated at 543 nm and fluorescence was recorded using a 650 nm long pass filter. All transient expression experiments were repeated three times .
Transient luciferase assay in Arabidopsis
For the analysis of transcription activities of TaWRKY1 and TaWRKY33 in response to ABA1, ABA2, ABI1, ABI5, RD29A and DREB2B promoters, the 2.5 kb promoter regions were cloned into the transient expression reporter vector pGreenII 0800-LUC which contains the CaMV 35S promoter-REN cassette and the promoterless-LUC cassette, respectively [85, 86]. The TaWRKY1 and TaWRKY33 genes were cloned into N-terminal GFP protein driven by the CaMV 35S promoter. The constructed effectors and reporter plasmids were transfected into mesophyll protoplasts of Arabidopsis Columbia-0 which were collected by our own laboratory. Transfected protoplasts were incubated in darkness at 22 °C. Firefly luciferase and renilla luciferase were assayed using the dual luciferase assay reagents (Promega, USA). Data was collected as the ratio of LUC/REN. All transient expression experiments were repeated three times.
Generation, and stress treatments of transgenic Arabidopsis
The coding sequences of TaWRKY1 and TaWRKY33 were cloned into pBI121 under control of the CaMV 35S promoter, resulting in 35S::TaWRKY1 and 35S::TaWRKY33 constructs. These constructs were confirmed by sequencing and then separately used in transformation mediated by Agrobacterium (Agrobacterium tumefaciens) to obtain three transgenic Arabidopsis lines. Kanamycin-resistant Arabidopsis transformants carrying TaWRKY1 and TaWRKY33 were generated using the vacuum infiltration method . Transformed plants were cultured on MS medium containing 0.8 % agar and 50 mM Kanamycin in a day/night regime of 16/8 h under white light (with 50 photons m-1 s-1) at 22 °C for 2 weeks and then transferred to soil.
Homozygous T3 seeds of transgenic lines were used for phenotypic analysis. Arabidopsis seeds were grown on 10 × 10 cm MS agar plates that were routinely kept for three days in darkness at 4 °C to break dormancy and transferred to a tissue culture room under a day/night regime of 16/8 h under white light (with 50 photons m-1 s-1) at 22 °C for five days. For the germination assay, seeds were subjected to 4 or 6 % (w/v) PEG6000, and 0.5 or 1 μM ABA treatments. For drought treatment, 5-day-old seedlings were transferred to MS agar plates containing 4 and 6 % PEG6000 for seven days. Total root lengths of the Arabidopsis plants were measured . Five-day-old seedlings were heat-treated at 45 °C for five h before returning them to 22 °C to continue to grow vertically for two days. Seeds were considered germinated when radicles had completely emerged from the seed coat. All measurements were repeated three times.
ABA, abscisic acid; ABRE, ABA-responsive element; DEGs, differentially expressed genes; DRE, dehydration-responsive elements; ELRE, elicitor responsive element; FDR, false discovery rate; GFP, green fluorescent protein; MeJA, jasmonic acid methylester; PEG6000, polyethylene glycol 6000; qRT-PCR, quantitative real-time PCR; WT, wild type.
We thank Dr. Dongying Gao (Department of Plant Sciences, University of Georgia, USA) for suggestions on the manuscript. We acknowledge Beijing Genomics Institute (BGI) at Shenzhen for the transcriptome sequencing.
This research was financially supported by the National Natural Science Foundation of China (31371620) and the National Transgenic Key Project of the Ministry of Agriculture (2014ZX08009-016B).
Availability of data and material
The transcriptome data was available in the Sequence Read Achive (SRA) under accession number SRP071191. Nucleic acid sequences of WRKYs in wheat have been deposited in NCBI GenBank under accessions number KU892127 to KU892155 and KU892157 to KU892167, respectively. The accessions number of TaWRKY1 and TaWRKY33 were Genbank No. KT285206 and Genbank No. KT285207, respectively.
ZSX coordinated the project, conceived and designed experiments, and edited the manuscript; GYH conducted the bioinformatic work, performed experiments and wrote the first draft; JYX performed experiments; YXW provided analytical tools; JML and PSL generated and analyzed data; MC managed reagents; YZM contributed with valuable discussions. All authors have read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent to publish
This research is not applicable to the consent for publication.
This research is not applicable to the ethics approval and consent.
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