An ABA-responsive SnRK2-type kinase, AaAPK1, is involved in positively regulating artemisinin biosynthesis in Artemisia annua through phosphorylation of AabZIP1.
Keywords: Artemisia annua, artemisinin biosynthesis, bZIP1, kinase, phosphorylation, transgene
abstract
The plant Artemisia annua produces the anti-malarial compound artemisinin. Although the transcriptional regulation of artemisinin biosynthesis has been extensively studied, its post-translational regulatory mechanisms, especially that of protein phosphorylation, remain unknown. Here, we report that an ABA-responsive kinase (AaAPK1), a member of the SnRK2 family, is involved in regulating artemisinin biosynthesis. The physical interaction of AaAPK1 with AabZIP1 was confirmed by multiple assays, including yeast two-hybrid, bimolecular fluorescence complementation, and pull-down. AaAPK1, mainly expressed in flower buds and leaves, could be induced by ABA, drought, and NaCl treatments. Phos-tag mobility shift assays indicated that AaAPK1 phosphorylated both itself and AabZIP1. As a result, the phosphorylated AaAPK1 significantly enhanced the transactivational activity of AabZIP1 on the artemisinin biosynthesis genes. Substituting the Ser37 with Ala37 of AabZIP1 significantly suppressed its phosphorylation, which inhibited the transactivational activity of AabZIP1. Consistent overexpression of AaAPK1 significantly increased the production of artemisinin, as well as the expression levels of the artemisinin biosynthesis genes. Our study opens a window into the regulatory network underlying artemisinin biosynthesis at the post-translational level. Importantly, and for the first time, we provide evidence for why the kinase gene AaAPK1 is a key candidate for the metabolic engineering of artemisinin biosynthesis.
Introduction
Malaria is a serious and sometimes fatal disease that put nearly half of the world’s population at risk in 2015 (World Health Organization, 2015). Artemisinin-based combination therapies (ACTs) are recommended by the World Health Organization (WHO) for the cure of malaria (World Health Organization, 2015). The Chinese herbal plant, Artemisia annua, is the only commercially available resource for artemisinin production (Peplow, 2016); however, the artemisinin content is very low in the plants and this has led to a global shortage in its supply for malarial treatment (Tang et al., 2014). Recently, artemisinin has also been shown to produce promising therapeutic effects for diabetes (Li et al., 2017) and tuberculosis (Zheng et al., 2017), and these discoveries are further increasing the global demand for artemisinin and its derivatives. There is urgent pressure to develop new varieties of A. annua with high yields of artemisinin, and metabolic engineering approaches provide a proven effective strategy to do this. Artemisinin biosynthesis has been well studied at the molecular and biochemical levels, and several artemisinin biosynthesis genes, such as ADS, CYP71AV1, and DBR2, have been successfully used to improve production in transgenic plants of A. annua (Tang et al., 2014). Having elucidated the process of artemisinin biosynthesis, plant scientists are now paying more attention to, and making great progress in, determining its transcriptional regulation.
A series of transcription factors have been identified in the artemisinin biosynthesis pathway. Most of them, including AaWRKY1 (Ma et al., 2009), AaERF1/2 (Yu et al., 2012), AaORA (Lu et al., 2013), AaTAR1 (Tan et al., 2015), AaHD1 (Yan et al., 2017), and AabHLH1 (Ji et al. 2014), have been found to be responsive to methyl jasmonate (MeJA). For example, AaMYC2 (Shen et al., 2016a) and AaGSW1 (Chen et al., 2017) are up-regulated by MeJA and abscisic acid (ABA), and AaNAC1 is inducible by salicylic acid (SA) and MeJA (Lv et al., 2016). Among the transcription factors, AabZIP1 is the only one that is specifically up-regulated by ABA (Zhang et al., 2015). AabZIP1 positively regulates artemisinin biosynthesis by directly binding to the promoters of ADS and CYP71AV1 (Zhang et al., 2015). The crosstalk between MeJA and ABA signaling in artemisinin production has provided a means to uncover the regulatory network of its biosynthesis (Shen et al., 2016b). Recently, a fine feed-forward loop model has been proposed (Chen et al., 2017). At the transcriptional level, both the MeJA-responsive AaMYC2 and the ABA-responsive AabZIP1 positively regulate the trichome-specific expression of AaGSW1 by binding to its promoter, thus suggesting that AaGSW1 integrates the signals of MeJA and ABA to govern artemisinin biosynthesis and that it positively and directly regulates AaORA and CYP71AV1 (Chen et al., 2017). At the post-translational level, JAZ proteins repress the activity of AaMYC2 and AaHD1 through physical interactions (Yan et al., 2017). However, the positive regulators of artemisinin biosynthesis at the post-translational level, such as the related kinases that are involved, have not yet been identified.
Phosphorylation of transcription factors plays an important role in regulating metabolite biosynthesis at the post-translational level. Camalexin is one of the primary defense metabolites in planta, and MPK3/MPK6 regulate its production via direct phosphorylation of WRKY33, which positively regulates camalexin biosynthesis by directly binding to the promoter of CYP71B15 in Arabidopsis thaliana (Mao et al., 2011). The R2R3 MYB transcription factor MYB75 regulates anthocyanin biosynthesis and its phosphorylation by MAP KINASE 4 (MPK4) is required for a fully functional MYB75 (Li et al., 2016). In Catharansus roseus, the MAP kinase cascade, composed of CrMAPKKK1, CrMAPKK1, and CrMAPK3/6, regulates terpenoid indole alkaloid (TIA) biosynthesis by phosphorylating CrMYC2 and ORCAs (Paul et al., 2017). In Arabidopsis, some bZIP-type transcription factors, namely AREBs/ABFs, act as positive regulators in the ABA signaling pathway (Yoshida et al., 2010). The activation of AREBs requires an ABA-dependent post-transcriptional modification, such as that of phosphorylation by sucrose nonfermenting-1 (Snf1)-related protein kinases (SnRK2s; Yang et al., 2017). To date, however, the role of transcription-factor phosphorylation in the regulation of metabolite biosynthesis, including that of artemisinin, has not been well studied and is poorly understood.
Previously, we have characterized an ABA-responsive transcription factor, AabZIP1, that positively regulates artemisinin biosynthesis through its direct binding to the promoters of target genes (Zhang et al., 2015). In this follow-up study, we further identify an SnRK2-type kinase (ARTEMISININ BIOSYNTHESIS PROMOTING KINASE 1, abbreviated as AaAPK1), that regulates artemisinin biosynthesis in A. annua plants through the phosphorylation of AabZIP1. We provide a comprehensive characterization of AaAPK1 at the molecular, biochemical, and metabolic engineering levels, and highlight its role in promoting the biosynthesis of artemisinin via AabZIP1-phosphorylation in A. annua.
Materials and methods
Plant materials and chemicals
The Huhao 1 cultivar of Artemisia annua, developed in Shanghai (China), was used in this study (Shen et al., 2016a; Yan et al., 2017). Seedlings were grown in a greenhouse with a 16-h light photoperiod at 25 ± 1 °C for 5 months, then switched to an 8-h light photoperiod to promote their flowering. Once the plants were flowering, their roots, stems, leaves, and flower buds were separately harvested to analyse gene expression. For the abiotic stresses and ABA treatment, 1-month-old plants were treated with 300 mM NaCl and 10 mM ABA, respectively, then sampled at 0, 3, 6, and 12 h, using the methods reported by Zhang et al. (2015). Drought stress was applied by removing the soil from intact 1-month-old plants and leaving them in the air without water supply for 0, 3, 6, or 12 h.
Seeds of Nicotiana benthamiana (tobacco) were sown directly into soil and grown under a 16-h light photoperiod at 25 ± 1 °C. Plants at 5 weeks old were used for subcellular localization, bimolecular fluorescence complementation (BiFC), and dual luciferase (Dual-LUC) assays. ABA was purchased from Sigma-Aldrich (St. Louis, USA), while the other chemicals were purchased from the China National Medicines Corporation (Beijing, China).
Gene discovery and bioinformatics analysis
To search for the SnRK2 subfamily in A. annua, hidden Markov model (HMM) profiles of SnRK2 were built by HMMER v.3.1 (www.hmmer.org) using the amino acid sequences of SnRK2 subfamily members from Arabidopsis downloaded from TAIR (www.arabidopsis.org). SnRK2 homologs were identified through a HMM search against the A. annua protein sequence database with an E value <10−9. The redundant sequences were then manually removed. The protein sequences of Arabidopsis, rice, and A. annua were aligned using ClustalW (Thompson et al., 1994). A non-rooted phylogenetic tree was constructed by using the maximum-likelihood method, in the MEGA software v.5 (Tamura et al., 2011). For this, a bootstrap analysis was performed with 1000 replicates to evaluate the accuracy of the phylogenetic construction.
Cloning of the candidate kinases
First-strand cDNA was synthesized with 2 µg of total RNAs that were isolated from the young leaves of A. annua, and used as the reverse transcriptase PCR templates. PCR was performed following the manufacturer’s instructions for the KOD DNA polymerase (Toyobo, Osaka, Japan). The PCR program was same as described previously (see Zhang et al., 2015). The PCR products were subcloned into the pJET2.1 vector (Thermo Fisher Scientific, Waltham, USA) and sequenced. All the primers used in the study are listed in Supplementary Table S1 at JXB online.
Yeast two-hybrid assays
To perform yeast two-hybrid (Y2H) analysis, the PCR-amplified coding sequences of the candidate kinase genes were each cloned into the pGBKT7 vector (used as the bait plasmid). The coding sequence of AabZIP1 was amplified by PCR and cloned into the pGADT7 vector (used as the prey plasmid). The construct pairs were transformed into a yeast strain, AH109, by using the LiAc method following the instructions for the yeast transformation system (Takara, Japan). Next, the transformed yeasts were selected on synthetic defined SD/–Trp/–Leu (–TL) agar medium plates and cultured at 30 °C. Five individual transformants were randomly chosen, dropped into 109 dilutions on SD/–Trp/–Leu/–His (–TLH), with 5 mM 3-aminotriazole (3-AT) and SD/–Trp/–Leu/–His/–Ade (–TLHA), and allowed to grow for 2–3 d at 30 °C.
BiFC assays
The gateway-compatible plasmids used in the BiFC analysis were described in Shen et al. (2016a). The coding sequences of AaAPK1and AabZIP1 were each cloned into the gateway entry vector TOPO-pEntry, following the instructions provided (Invitrogen, Carlsbad, CA, USA). Then, AaAPK1 was fused in-frame with the nYFP-tag of the pEarleygate201-YFPN by the LR recombination reaction, and likewise AabZIP1 was fused in-frame with the cYFP-tag of the pEarleygate202-YFPC. The BiFC experiment was performed according to the protocol reported by Schweiger and Schwenkert., (2014). Briefly, the constructs were transformed into an Agrobacterium tumefaciens strain, GV3101, and transiently co-transformed into 5-week-old N. benthamiana leaves. After 48 h of cultivation, the yellow fluorescent protein (YFP) signals were viewed under low-light conditions with confocal microscopy (Olympus, Tokyo, Japan). The pEarleyGate202-YFPC empty vectors served as the controls.
Subcellular localization analysis
The coding sequence of AaAPK1 was amplified by PCR and cloned into the plant overexpression vector PHB (Zhang et al., 2015): it was positioned in-frame with YFP to generate the PHB-AaAPK1-YFP plasmid. Subsequently, the PHB-AaAPK1-YFP plasmid was transferred into the A. tumefaciens strain GV3101 and transiently co-transformed into the N. benthamiana leaves. After 48 h of cultivation, the YFP signals were viewed as described above.
GST pull-down assay
To express and purify the GST-AabZIP1 protein and AaAPK1-HIS6 from Escherichia coli, the coding sequence of AabZIP1 was inserted into the BamHI and XhoI sites of pGEX-6P-1, and likewise that of AaAPK1 into those of pET28a. The plasmids were transformed into the E. coli strain Rosetta (DE3) for protein expression. Isopropylthio-β-galactoside (IPTG), with a final concentration of 0.1 mM, was added to the medium for the protein induction. The GST-AabZIP1 fusion protein was purified with Glutathione Sepharose 4B (AmershamPharmacia, Little Chalfont, UK). The GST protein was also expressed by using empty pGEX-6P-1 plasmids and purified, as described above. The AaAPK1-HIS6 fusion protein was purified with Ni-sepharose (AmershamPharmacia, Little Chalfont, UK). GST-AtABF2 and AtOST1-HIS6 were expressed and purified in the same way as for GST-AbZIP1 and AaAPK1-HIS6, respectively.
The GST pull-down assay was performed by adding 5 µg of GST or the GST-AabZIP1 fusion protein, 40 µl of Glutathione Sepharose 4B, and 5µg of AaAPK1-HIS6 protein into the Eppendorf tubes, and supplementing it with a binding buffer [10 mM of Na2HPO4, 2 mM of KH2PO4, 140 mM of NaCl, 2.7 mM of KCl, and 10% (v/v) glycerol] to a final volume of 400 µl. Samples were mixed gently, rotated at 70 rpm for 4 h at 4 °C, and then centrifuged at 500 g for 3 min at 4 °C. The supernatant was discarded, and the resins were washed five times with pre-cooled binding buffer. After the final wash, the supernatant was completely discarded, and 30 µl of 1×SDS loading buffer was added. Then, the samples were separated by 10% (w/v) SDS-PAGE and transferred to a PVDF membrane (Amersham Pharmacia, Little Chalfont, UK). The primary antibody was anti-HIS and the secondary antibody was goat anti-mouse antibody (Amersham Pharmacia, Little Chalfont, UK). To detect the proteins, we used an ECL PLUS kit (Pierce, Waltham, MA, USA).
Phosphorylation assay
To perform the AaAPK1 autophosphorylation assay, 3 µg of AaAPK1-HIS6 or the AtOST1-HIS6 protein was added into kinase assay buffer (20 mM Tris-HCl buffer, 100mMNaCl, 20 mM MgCl2, 2 mM DTT, with or without 10 mM of ATP) to a final volume of 25 µl. To analyse the phosphorylation of AabZIP1 by AaAPK1, 3 µg of the GST-AabZIP1 protein and 1 µg of the AaAPK1-HIS6 protein were simultaneously added to the kinase assay buffer to a final volume of 25 µl. Serving as the positive control, 3 µg GST-AtABF2 and 1 µg AtOST1-HIS6 were added to the same kinase assay buffer, to a final volume of 25 µl. For the alkaline phosphatase (AP) treatment, 1 µl of fast alkaline phosphatase (Thermo Fisher, Waltham, MA, USA) was added into the 25 µl kinase assay buffer. Samples were mixed gently and stored at 30 °C for 30 min. Samples were subsequently separated using 8% (w/v) SDS-PAGE, with 0.1 mM of MnCl2 and 0.1 mM of Phos-tag (Wako, Tokyo, Japan), and the proteins were detected by Coomassie Blue staining.
Dual luciferase assay
Dual luciferase (dual-LUC) assays were performed according to previously reported methods (Zhang et al., 2015; Shen et al., 2016a). Briefly, the coding sequence of AaAPK1 was amplified by PCR and cloned into the PstI and XbaI sites of the PHB plasmid, to generate the PHB-AaAPK1 construct used as the effector. To serve as the control, YFP was cloned into the PHB plasmid. The promoters of ADS, CYP71AV1, DBR2, and ALDH1 were inserted into pGREEN-0800 (Hellens et al., 2005) to drive the luciferase reporters. The effector and control constructs were transferred into the A. tumefaciens strain GV3101. The reporter constructs were co-transformed with pSoup19 into GV3101. Infiltration and detection were done following the protocols described in Zhang et al. (2015).
Establishing transgenic plants of A. annua
To construct the RNA interference plasmid, a fragment containing a partial open reading frame (ORF) and 3′UTR was cloned into the gateway entry clone, pEntry; this was inserted into the plant RNA interference plasmid pHELLSGATE12 vector via the LR reaction (Invitrogen, Waltham, MA, USA) to generate pHELLSGATE-iAaAPK1. The plant overexpression vector was PHB-AaAPK1 (constructed as described above). The plant overexpression construct, PHB-AaAPK1, and the RNA interference construct, pHELLSGATE-iAaAPK1, were each introduced into the A. tumefaciens strain EHA105, and subsequently used to genetically transform A. annua following our previously described methods (Zhang et al., 2013).
Molecular analysis of the genes of interest
To detect the transgenes, genomic DNA was extracted from the A. annua plants using our previously reported methods (Zhang et al., 2015). The primers used are listed in Supplementary Table S1. Real-time quantitative PCR (RT-qPCR) analysis was done following previously reported methods (Zhang et al., 2015). Roots, stems, leaves, and flower buds were collected from 5-month-old plants and immediately frozen in liquid nitrogen. For the plants treated with ABA, NaCl, and drought (and their respective controls) only the leaves were collected. To analyse the expression levels of AaAPK1 and the artemisinin biosynthesis genes, leaves from 2-month-old transgenic and wild-type plants were harvested. The total RNA exacted from these samples was prepared as described above using the total plant RNA Extract Kit (Tiangen, Beijing, China). The relative expression levels of genes were normalized to the expression of A. annua ACTIN. Real-time PCR was performed in a Bio-Rad MJ thermocycler IQ5 (Bio-Rad, Hercules, USA). Amplification was carried out with the Brilliant SYBR Green QPCR MasterMix (Takara, Japan), according to the manufacturer’s instructions. The thermal profile for SYBR Green real-time PCR was 95 °C for 2 min, followed by 40 cycles of 95 °C for 15 s, and 60 °C for 1 min.
Detection of artemisinin metabolites
All green leaves were harvested from each 2-month-old A. annua plant grown in the greenhouse under a 16-h light photoperiod at 25 ± 1 °C. The leaves were dried at 50 °C for 48 h. A 0.2-g sample of the dried leaf powder was extracted with 20 ml of petroleum ether in an ultrasonic bath for 30 min, then filtered and evaporated to dryness in a vacuum at 50 °C. Finally, the residue was re-dissolved in 5 ml of methanol. From the ensuing solution, 1 ml was passed through a 0.22-µm nylon membrane filter. The filtered solutions were then analysed using a Shimadzu LC-6AD HPLC system (Shimadzu ELSD-LTII detector). The HPLC conditions consisted of a Phenomenex C18 column that used an acetonitrile:water (60:40 v/v) mixture as the mobile phase at a flow rate of 1 ml min−1. The ELSD conditions were optimized at a nebulizer-gas pressure of 320 kPa and a drift tube temperature of 60 °C, with the gain set to 8. Authentic samples of artemisinin were bought from Sigma and used as the control in the measurements. Each sample had an injection volume of 20 µl.
Statistics
All experiments that need statistical analysis were performed using at least three biological replicates. Data are given as means ±SD. To compare group differences, paired two-tailed Student’s t-tests were used. P-values <0.05 were regarded as statistically significance.
Results
Cloning and bioinformatic analysis of the candidate kinase genes of A. annua
Recently, we showed that AabZIP1 plays an important functional role in the ABA-induced over-production of artemisinin (Zhang et al., 2015). AabZIP1 is a transcription activator that works by binding to the ABA-responsive element (ABRE), a conserved cis-element in the promoters of many ABA-responsive genes, including those of artemisinin biosynthesis. Considering that the SnRK2 family kinase can directly phosphorylate the ABRE-binding factors (especially the bZIP transcription factors), we searched for those genes encoding the putative SnRK2 proteins in A. annua by using the HMM search program against the sequenced transcriptomes of A. annua. Six candidate genes were identified based on their sequence similarity against the Arabidopsis and rice SnRK2 family (see Supplementary Fig. S1). Each of these genes was then isolated from the A. annua cDNAs. The deduced amino acid sequences of the six candidates showed homology with the SnRK2 family members from A. thaliana, but relatively lower homology with the SnRK2s from monocot species such as Oryza sativa (Supplementary Fig. S1). All the candidate SnRK2s of A. annua showed high similarity in the N-terminal regions, including the ATP-binding loop and the protein kinase-activating site (Supplementary Figs S1 and S2). A phylogenetic analysis revealed that the plant SnRK2 family had three groups (Fig. 1). Both Aannua05209S490740 and Aannua02702S329990 were included in Group I with AtSnRK2.1/4/5/9/10. The other four SnRK2 subfamily genes of A. annua, namely AaAPK1 and Aannua00085S022560/14917S778390/17791S810490, belonged to Group II, which included Arabidopsis SnRK2.2/3/6. Interestingly, ABA strongly activated the Group II members, such as Arabidopsis SnRK2.2, SnRK2.3, and SnRK2.6 (OST1), rather than the Group III members, which included SnRK2.7 and SnRK2.8 in Arabidopsis (Kulik et al. 2011).
AaAPK1 physically interacts with AabZIP1
To identify the interaction partners of AabZIP1, a yeast two-hybrid (Y2H) screening was employed. Each coding sequence of the six kinase candidates was cloned into the pGBKT7 vector fused with BD, while AabZIP1 was cloned into the pGADT7 vector fused with AD. The yeast cells harboring AaAPK1 and AabZIP1 grew well on the –TLHA selective medium (SD medium without Trp, His, Leu, and Ade). As the negative control, the yeast cells co-expressing the constructs empty pGADT7 and BD-AaAPK1 could not grow on the -TLHA selective medium. The yeast cells co-expressing one of the other five candidates and AabZIP1 were not able to grow on the -TLHA selective medium (Fig. 2A and Supplementary Fig. S3). This suggests that, among the six candidate kinases, only AaAPK1 physically interacted with AabZIP1. The interaction of AaAPK1 with AabZIP1 was further confirmed by the BiFC assay in tobacco cells (Fig. 2B). The N-terminus (amino acids 1–174) of YFP was fused with the C-terminus of AaAPK1, and the C-terminus (amino acids 175–239) of YFP was fused to the C-terminus of AabZIP1. Robust YFP fluorescence was detected in the nuclei of tobacco cells co-expressing AaAPK1-YFPN and AabZIP1-YFPC (Fig. 2B), but no such fluorescence was detected in cells co-expressing AaAPK1-YFPN and YFPC. To further confirm the interaction between AaAPK1 and AabZIP1, a GST pull-down assay was done. The GST-AabZIP1 fusion protein was incubated with a GST affinity resin. As a result, GST-AabZIP1 could pull down AaAPK1-HIS6. As the negative control, GST could not pull down AaAPK1-HIS6 (Fig. 2C). Taken together, the results from the Y2H, BiFC, and pull-down assays demonstrate that AaAPK1 does physically interact with AabZIP.
Expression analysis and subcellular localization of AaAPK1
The expression levels of AabZIP1 and the artemisinin biosynthesis genes become greatly elevated when the A. annua plants are treated with exogenous ABA, and when they are under drought or salt stress, and hence artemisinin biosynthesis is enhanced (Zhang et al., 2014, 2015). ABA, drought, and salt stress also significantly up-regulated the AaAPK1 expression level (Fig. 3A). Artemisinin is specifically synthesized in the glandular secretory trichomes of A. annua plants (Tan et al., 2015). Young leaves and flower buds are rich in these trichomes and have higher expression levels of the artemisinin biosynthesis genes (Lu et al., 2013). AabZIP1 is also known to have higher expression levels in A. annua leaves and flower buds (Zhang et al., 2015). In the present study, the tissue profiles showed that the expression levels of AaAPK1 in the flower buds and leaves greatly exceeded those in the roots and stems (Fig. 3B). In addition, we examined the subcellular localization of AaAPK1 in tobacco cells using the transient expression of AaAPK1 fused with YFP. Robust fluorescence was observed in the nuclear and cytoplasmic compartments of cells expressing AaAPK1-YFP (Fig. 3C), suggesting that AaAPK1 is localized in both the nuclei and cytoplasm.
AaAPK1 phosphorylates itself and AabZIP1
It has been demonstrated that auto-phosphorylated SnRK2s can phosphorylate several bZIP transcription factors (Kobayashi et al., 2005; Ng et al., 2011). To test whether AaAPK1 could phosphorylate itself, the Phos-tag mobility shift assay was employed, in which the binding of the phosphorylated-protein to the Phos-tag reagent in an SDS-PAGE gel slows down its movement (Bethke et al., 2009). As shown in Fig. 4A, the AaAPK1-HIS6 protein displayed only one band in the gel without the Phos-tag, whereas at least four bands appeared with the Phos-tag. Moreover, after alkaline phosphatase (AP) treatment, the phosphorylation level of AaAPK1-HIS6 notably decreased with a longer incubation time (Fig. 4A). In the phosphorylation assays, Arabidopsis AtOST1 (namely AtSnRK2.6) was expressed in E. coli and then purified, which served as the positive control since its autophosphorylation has already been confirmed (Ng et al., 2011). Our results for AtOST1 autophosphorylation, as seen in the Phos-tag assays, were consistent with a report on radio-labeling in gel kinase assays (Ng et al., 2011). As shown in Fig. 4B, the phosphorylated AaAPK1-HIS6 increased significantly when ATP was present. Nevertheless, once AaAPK1-HIS6 was denatured through boiling, the phosphorylated band showed less AaAPK1-HIS6 in the kinase assay buffer without ATP (Fig. 4B); AaAPK1 exhibited similar results to AtOST1 under the same conditions. These results suggested that AaAPK1 is a protein kinase with the capacity of autophosphorylation.
The Phos-tag mobility shift assay was used to further investigate the phosphorylation of AabZIP1 by AaAPK1. For this, GST-AabZIP1 protein purified from the engineered E. coli was used as the substrate. The GST-AabZIP1 and AaAPK1-HIS6 recombinant proteins were incubated together in a kinase assay buffer. The movement of phosphorylated GST-AabZIP1 slowed down when AaAPK1-HIS6 and ATP were present. In addition, we used AtABF2 and AtOST1 from Arabidopsis as a positive control because the former is a proven phosphorylation substrate of latter (Wang et al., 2013). The movement of GST-AtABF2 also slowed in the presence of AtOST1-HIS6 and ATP, consistent with previously reported work (Wang et al., 2013). Either the alkaline phosphatase treatment or the absence of ATP inhibited the phosphorylation of GST-AabZIP1 by AaAPK1-HIS6, in addition to the phosphorylation of GST-AtABF2 by AtOST1-HIS6 (Fig. 4C). Together, these results indicated that AaAPK1 can phosphorylate AabZIP1 in an ATP-dependent manner.
AaAPK1 enhances the transcriptional activity of AabZIP1
Given that AaAPK1 interacted with and then phosphorylated AabZIP1, we hypothesized that this phosphorylation by AaAPK1 may affect the functioning of AabZIP1 in the regulation of artemisinin biosynthesis. To test this hypothesis, we performed dual-LUC assays in tobacco leaves. The promoters of artemisinin biosynthesis genes (ADS, CYP71AV1, DBR2, and ALDH1) were each cloned into pGREEN-0800 and used as reporter constructs that expressed firefly luciferase (LUC) (Fig. 5A). The generated effector constructs expressed AaAPK1 and AabZIP1 under the control of 35S promoter. The pairs of effector and reporter constructs were transiently co-infiltrated into the leaves of N. benthamiana. As shown in Fig. 5, transfection of AabZIP1 alone resulted in the induction of ProADS-LUC, ProCYP71AV1-LUC, and ProDBR2-LUC (Fig. 5B–E), consistent with AabZIP1 being a positive regulator of the artemisinin biosynthesis genes (Zhang et al., 2015). Transfection of AaAPK1 on its own could not induce the expression of ProADS-LUC, ProCYP71AV1-LUC, ProDBR2-LUC, and ProALDH1-LUC, but they were significantly induced when AaAPK1 was co-transfected with AabZIP1 (Fig. 5B–E). In particular, the transfection of AabZIP1 or AaAPK1 alone could not induce the expression of ProALDH1, whereas co-transfection of AabZIP1 with AaAPK1 significantly induced its expression. These results demonstrated that AaAPK1 enhanced the transcriptional activity of AabZIP1 for artemisinin biosynthesis genes, suggesting that AaAPK1 is a positive regulator of artemisinin biosynthesis.
AaAPK1 phosphorylates serine37 of AabZIP1
We know that SnRK2-type kinases phosphorylate Ser/Thr residues of R-X-X-S/T sites of AREB-type transcription factors (Furihata et al., 2006). There were five R-X-X-S/T sites in AabZIP1 (see Supplementary Fig. S4). Only one of them (R-Q-G-S37), however, was localized in the C1 domain that is essential for the transcriptional activation of AabZIP1 (Zhang et al., 2015). Moreover, this site was conserved in AabZIP1 and in other AREBs in Arabidopsis (Fig. 6A). To further investigate the phosphorylation of AabZIP1, we generated a point-mutant of AabZIP1 (AabZIP1S37A) by replacing the Ser37 in the R-X-X-S site of the C1 domain with an Ala37 (Fig. 6A). To exclude the possibility that the point-mutant in AabZIP1 interrupted the interaction between AabZIP1 and AaAPK1, Y2H and BiFC assays were performed. As shown in Fig. 6B, C, AabZIP1S37A also physically interacted with AaAPK1. In addition, the phosphorylation level of AabZIP1 and AabZIP1S37A were tested using a Phos-tag mobility shift assay. As shown in Fig. 6D, when ATP was absent, a single major band was observed in the lanes of both AabZIP1 and AabZIP1S37A. Interestingly, three clearly shifted bands of AabZIP1 were detected when compared with the two shifted bands that appeared in the AabZIP1S37A lane. Moreover, AabZIP1S37A gave only one band after 0.5 h of AP treatment, whereas the wild-type AabZIP1 retained two shifted bands. These results revealed that AaAPK1 partially phosphorylates AzbZIP1 at Ser37.
To investigate the effects of amino acid substitution at the phosphorylation sites of AabZIP1 on its transactivational activity, a transient dual-LUC assay was performed in tobacco leaves. As shown in Fig. 6E–H, when compared with those induced by the wild-type AabZIP1, the relative pADS-LUC, pCYP71AV1-LUC, and pDBR2-LUC activities as induced by AabZIP1S37A were significantly decreased. Furthermore, co-transfecting AabZIP1S37A with AaAPK1 resulted in significantly reduced relative activities of pADS-LUC, pCYP71AV1-LUC, pDBR2-LUC, and pALDH1-LUC, compared with the co-transfection of wild-type AabZIP1 and AaAPK1. Together, these results suggested that the Ser37 phosphorylation of AabZIP1 by AaAPK1 is important for activating the AabZIP1-mediated transcriptional regulation.
Effects of AaAPK1 on artemisinin biosynthesis
Transgenic plants of A. annua in which AaAPK1 was overexpressed were established to investigate the effects of its expression on artemisinin biosynthesis. The fragments of 35S::AaAPK1 were amplified from both the positive control (PHB-AaAPK1 plasmid) and the transgenic plants with AaAPK1 overexpression, but they were not detected in the wild-type plants of A. annua (see Supplementary Fig. S5). The AaAPK1-overexpressing plants had expression levels that were 15.9- to 36.5-fold those of the wild-type plants (Fig. 7A). A metabolite analysis showed that these AaAPK1-overexpressing plants produced artemisinin at higher levels than did the wild-type plants (Fig. 7B), consistent with the higher expression levels of the artemisinin biosynthesis genes, ADS, CYP71AV1, DBR2, and ALDH1 (Fig. 7C). The AaAPK1-overexpressing plants produced artemisinin in the range of 9.89 to 12.85 mg g–1 dry weight (DW), whereas the 15 independent wild-type plants produced it at an average level of 6.93 mg g–1 DW about 53.9–70.1% that of the transgenic plants.
Using RNAi technology, we also developed transgenic plants of A. annua in which AaAPK1 was suppressed. The authentic plants of AaAPK1-RNAi A. annua were confirmed by PCR (see Supplementary Fig. S6) and qPCR. The AaAPK1-RNAi plants were confirmed as having much lower expression levels of AaAPK1 (Fig. 7D) without significantly down-regulating the production of artemisinin. Both this production and the expression levels of artemisinin biosynthesis genes were similar between the AaAPK1-RNAi and wild-type plants (Fig. 7E, F), probably due to the redundant SnRK2 family members in A. annua that might have rescued the RNA interference effect of AaAPK1. The results of the transgenic overexpression of AaAPK1 indicated that it is a valuable gene for breeding high-yielding artemisinin plant varieties of A. annua.
Discussion
SnRK2-type kinases play an important role in the ABA and osmotic-stress signaling pathways. The autophosphorylation of AaSnRK2s, and the ensuing phosphorylation of downstream proteins to activate ABA-responsive gene expression, is a key process in ABA-signaling transduction (Kobayashi et al., 2005, Furihata et al., 2006, Sato et al., 2009). Although the molecular mechanism of the involvement of SnRK2 kinases in osmotic stress signaling is not yet clear, phenotype analysis of an Arabidopsis decuple-mutant has shown that they are important regulators in the signaling pathway (Fujii et al., 2011). Thus, the SnRK2 family kinases are regarded as an important target when breeding drought-resistant plants. A series of SnRK2 homologs have been characterized from Arabidopsis, rice, maize, and other plants (Kulik et al., 2011). Although we have made rapid progress in understanding the function of SnRK2 kinases in ABA and osmotic-stress signaling, little is known about the mechanisms by which they act in regulating secondary metabolite biosynthesis, especially at the post-transcription level. In the case of artemisinin, its production is clearly promoted when A. annua plants are treated with ABA or NaCl (Jing et al., 2009, Wang et al., 2016). Previously, we characterized an ABA-responsive transcription factor, AabZIP1, that positively regulates artemisinin biosynthesis by directly binding and activating the promoters of the artemisinin biosynthesis genes (Zhang et al., 2015). In the present study, we report on an SnRK2-type (AaAPK1) and its involvement in regulating artemisinin biosynthesis through phosphorylation of AabZIP1.
A high redundancy of SnRK2s occurs in plants; for example, there are at least 10 members in Arabidopsis (SnRK2.1–SnRk2.10) and 10 in Oryza sativa (SAPK1–SPAK10) (Fujii et al., 2011). We found six SnRK2 members in A. annua, according to its transcriptome data. However, only AaAPK1 interacted with AabZIP1 among the six candidates obtained by our Y2H screening (Fig. 2A). This interaction was further confirmed by BiFC and pull-down assays. These results therefore suggest that AaAPK1 may regulate artemisinin biosynthesis through its interaction with AabZIP1. In silico analysis of amino acid sequences showed that AaAPK1 possessed all the basic features of the SnRK2 kinases, namely the ATP binding loop, the activation loop, the conserved PP2C interface residues, and the ABA box (Ng et al., 2011). Phylogenetic analysis of AaAPK1 with its closely related SnRK2s suggested that it belonged to Group II, which was composed of ABA-induced SnRK2 family members (Kulik et al., 2011). Interestingly, the expression of AaAPK1 was up-regulated by drought or NaCl treatment, and it exhibited similar expression patterns to many of the known key genes and regulators of the artemisinin biosynthetic pathway. Notably, AaAPK1 exhibited responses to ABA, not unlike the AaPP2C1, AabZIP1, and the artemisinin biosynthesis genes did (Zhang et al., 2014, 2015). The ABA-induced AaAPK1 expression confirmed the phylogenetic result of AaAPK1 belonging to the ABA-responsive Group II of the SnRK2 subfamily.
Based on the results from the Y2H, BiFC, and GST pull-down assays, the interaction between AaAPK1 and AabZIP1 was confirmed. We suspected that AabZIP1 is the substrate of AaAPK1, because the bZIP transcription factors, such as AREB1, ABI5, and AREB3, are all substrates of SnRK2 kinase (Furihata et al., 2006; Fujii et al., 2007; Feng et al., 2014). The phosphorylated bZIP proteins could well activate the downstream target genes (Nakashima et al., 2009; Wang et al., 2013). Disruption of the three protein kinases, namely SnRK2.2, 2.3, and 2.6, could down-regulate the ABA-inducible gene expression, including that of the ABI5, AREB1, and AREB3 target genes (Nakashima et al., 2009). Moreover, ABI5 could promote transcription of FLOWERING LOCUS C (FLC) by binding ABRE/G-box in the FLC promoter, an activity that is increased by overexpressing OST1 (Wang et al., 2013). In our present study, the function of AabZIP1 as the phosphorylation substrate of AaAPK1 was confirmed by a Phos-tag mobility shift assay (Fig. 4C), suggesting that AabZIP1 was regulated via phosphorylation at the post-translational level. The Ser/Thr residue of the R-X-X-S/T sites is one of the most important phosphorylation sites of the AREB-type activator in Arabidopsis (Furihata et al., 2006): we found that the Ser37 of AabZIP1 was an important amino acid, and one that was phosphorylated by AaAPK1 (Fig. 6). The Ser37 residue of the R-Q-G-S37 site was in the C1 domain of AabZIP1, and this particular domain is essential for AabZIP1 transactivation of the artemisinin biosynthesis genes (Zhang et al., 2015). Overexpression of the AabZIP1 deletion mutant (i.e. AabZIP1∆C1) in the dual-LUC analysis, previously performed by Zhang et al. (2015), had a negligible influence on the reporter activity, irrespective of the ABA treatment applied.
Since AaAPK1 had a similar expression pattern to AabZIP1 and the phosphorylated AabZIP1, this led us to study the effect of AaAPK1 on the AabZIP1 transcriptional activity for the artemisinin biosynthesis genes. The dual-LUC analysis we performed here in tobacco leaves showed that on its own the transient overexpression of AaAPK1 did not increase the transcription of artemisinin biosynthesis genes. A plausible explanation for this result is that AaAPK1, being a kinase, could not directly bind with the DNA. As previously reported by Zhang et al. (2015), the transcription of ADS, CYP71AV1, and DBR2 was significantly elevated when AabZIP1 was transiently overexpressed. However, the transcription of the artemisinin biosynthesis genes was further elevated by transiently overexpressing AaAPK1 and AabZIP1 together, when compared with the transient overexpression of AabZIP1 alone (Fig. 5). Moreover, the Ser37 of the AabZIP1 mutant (AabZIP1S37A) had a reduced transcriptional activity when compared with AabZIP1 (Fig. 6E–H). Based on these findings, we deduced that AabZIP1 enhanced its transcriptional activity on the artemisinin biosynthesis genes when it was phosphorylated, and that AaAPK1 participated in regulating artemisinin biosynthesis by phosphorylating AabZIP1.
It should be possible to increase artemisinin production by engineering its biosynthetic pathway and its regulating transcription factors. Overexpression of the key enzymes involved in the 2C-methyl-D-erythritol 4-phosphate (MEP) pathway, the mevalonate pathway, and the artemisinin-specific biosynthetic pathways (and their combinations) was found to promote artemisinin biosynthesis, leading to the successful establishment of A. annua plants with a high yield of artemisinin (Tang et al., 2014). In addition to the key enzymes and metabolite-regulating transcription factors, the metabolite-regulating kinases could also be used to promote biosynthesis through the overexpression method. To date, however, very few kinases have been identified and used to enhance secondary metabolite biosynthesis, because our knowledge of their participation in regulation is limited. The MAP-kinase kinase 1 of C. roseus (CrMAPKK1) is a typical example. In root cultures of C. roseus, overexpression of CrMAPKK1 elevates the expression levels of the terpenoid indole alkaloid (TIA) biosynthesis genes and increases the accumulation of TIAs such as tabersonine, ajmalicine, and catharanthine (Paul et al., 2017). AaAPK1 was the first kinase identified to positively regulate artemisinin biosynthesis. Overexpression of AaAPK1 significantly up-regulated the expression levels of biosynthesis genes and increased the production of artemisinin in the transgenic plants of A. annua. However, in the present study, the artemisinin contents showed little difference between the AaAPK1-suppressed transgenic lines and the wild-type plants. The expression levels of artemisinin biosynthesis genes, as well as the other five SnRK2 members in A. annua, were not significantly different between AaAPK1-RNAi and wild-type plants (Fig. 7F and Supplementary Fig. S7). This could be explained by the high redundancy of the SnRK2 family in plants. There are 10 members of the SnRK2 family in Arabidopsis (SnRK2.1–2.10) and Oryza sativa (SAPK1–10). When nine SnRK2s were knocked-out in Arabidopsis, the mutants grew normally in soil while the decuple-mutants showed a clear growth defect (Fujii et al., 2011). Furthermore, the constitutive expression of AtSnRK2.6 greatly raised the sucrose and total soluble sugar levels in Arabidopsis leaves; however, the soluble sucrose was similar between the snrk2.6 mutant and its null sibling (Zheng et al., 2010). Thus, the high redundancy of SnRK2s appears to complicate the dissection of SnRk2-member functionality through reverse genetics. Considering that A. annua belongs to the Asteraceae plant family, its genome (approx. 1.8 G, unpublished data) is perhaps much more complex than is the smaller-sized Arabidopsis genome. Conceivably, then, A. annua may harbor more than six SnRK2 genes. Exploring the genome of A. annua in greater detail will prove invaluable for investigating the function of individual members in SnRK2 and other important gene families.
In conclusion, an ABA-responsive SnRK2-type kinase, AaAPK1, was identified and found to be involved in positively regulating artemisinin biosynthesis through phosphorylation of AabZIP1. This functional characterization of AaAPK1 not only facilitates a deeper understanding of the regulatory mechanism underpinning artemisinin biosynthesis at the post-translational level, but it also provides a novel and timely candidate gene for engineering the production of artemisinin.
Supplementary data
Supplementary data are available at JXB online.
Table S1. Primers used in this study.
Fig. S1. Alignment of six SnRK2 kinase family candidates with SnRK2 family members from Arabidopsis and rice.
Fig. S2. Alignment AaAPK1 with SnRK2.2/2.3/2.6 from Arabidopsis.
Fig. S3. Self-activation test of six kinase candidates in a Y2H assay.
Fig. S4. Diagram of the putative SnRk2-type kinase target in AabZIP1.
Fig. S5. PCR detection of positive AaAPK1-overexpression A. annua and artemisinin content analysis of 10 independent transgenic lines.
Fig. S6. PCR detection of positive AaAPK1-RNAi A. annua and artemisinin content analysis of 10 independent AaAPK1-RNAi lines.
Fig. S7. Relative expression levels of Aannua00085S022560, Aannua17791S810490, Aannua14947S778390, Aannua05209 S490740, and Aannua02702S329990 in AaAPK1-RNAi trans genic lines and wild-type A. annua.
Acknowledgements
This work was supported by the NSFC project (31370333), the Natural Science Foundation of SZU (2017051), the Fundamental Research Funds for the Central Universities (XDJK2016C114), the China Postdoctoral Science Foundation (2015M582497), the Chongqing Postdoctoral Science Foundation (XM2016006), the Foundation of YNTC (2016YN22), and the Shanghai Key Discipline Cultivation and Construction Project (Horticulture, ZXDF150005). The authors declare that they have no competing interests.
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