Abstract
Background and Aims Basic region/leucine zipper (bZIP) transcription factors play vital roles in the abiotic stress response of plants. However, little is known about the function of bZIP genes in Camellia sinensis.
Methods CsbZIP6 was overexpressed in Arabidopsis thaliana. Effects of CsbZIP6 overexpression on abscisic acid (ABA) sensitivity, freezing tolerance and the expression of cold-responsive genes in arabidopsis were studied.
Key Results CsbZIP6 was induced during cold acclimation in tea plant. Constitutive overexpression of CsbZIP6 in arabidopsis lowered the plants’ tolerance to freezing stress and ABA exposure during seedling growth. Compared with wild-type (WT) plants, CsbZIP6 overexpression (OE) lines exhibited increased levels of electrolyte leakage (EL) and malondialdehyde (MDA) contents, and reduced levels of total soluble sugars (TSS) under cold stress conditions. Microarray analysis of transgenic arabidopsis revealed that many differentially expressed genes (DEGs) between OE lines and WT plants could be mapped to ‘response to cold’ and ‘response to water deprivation’ terms based on Gene Ontology analysis. Interestingly, CsbZIP6 overexpression repressed most of the cold- and drought-responsive genes as well as starch metabolism under cold stress conditions.
Conclusions The data suggest that CsbZIP6 functions as a negative regulator of the cold stress response in A. thaliana, potentially by down-regulating cold-responsive genes.
Keywords: CsbZIP6, cold stress, transgenic arabidopsis, transcription factor, tea plant (Camellia sinensis)
INTRODUCTION
The tea plant Camellia sinensis (L.) Kuntze grows best in temperate climates, and its natural distribution, development and growth are in large part shaped by the plant’s low cold tolerance. Exposure to low temperatures, including chilling and frost, drastically reduces the yield and quality of tea and is associated with significant economic losses. Plants have evolved diverse mechanisms to adapt to adverse conditions such as cold temperatures, and regulatory proteins such as transcription factors (TFs) play important roles in these process.
A major advance in understanding the cold response in plants was the discovery of the ICE1 (inducer of CBF expression 1)–CBF/DREB (C-repeat-binding factor/dehydration-responsive element-binding factor)–COR (cold-regulated genes) signalling pathway (Thomashow, 1999). This transcriptional cascade has since been identified in many plants as an important regulator of cold signalling and acclimation. ICE1 encodes a MYC-type basic helix–loop–helix (bHLH) TF that regulates the expression of CBF3/DREB1A in response to cold stress (Chinnusamy et al., 2003), while its homologue ICE2 activates the expression of CBF1/DREB1B and promotes freezing tolerance (Fursova et al., 2009). In arabidopsis, three CBF TFs bind C-repeat/dehydration-responsive elements (CRT/DREs; TACCGACAT) in the promoter regions of COR genes to activate the expression of the CBF regulon (Yamaguchi and Shinozaki, 1994; Jaglo-Ottosen et al., 1998; Liu et al., 1998; Thomashow, 2010). CBF1 and CBF3 co-ordinately induce COR genes, whereas CBF2/DREB1C negatively regulates the expression of CBF1 and CBF3 during cold acclimation (Novillo et al., 2004). In addition, the TF AtMYB15 binds MYB recognition cis-elements in the promoter regions of CBFs to regulate their expression negatively (Agarwal et al., 2006). COR gene expression has been shown to affect metabolism, protein stability and cell structure (Lee et al., 2005). Recent studies have isolated CsICE1, CsCBF1 and CsCOR genes from tea plant and demonstrated not only that CsCBF1 can specifically bind the conserved CRT/DRE cis-element, but also that CsICE1 functions as a positive regulator in the tea plant cold response (Wang et al., 2009; Li et al., 2010; Wang et al., 2012; Ding et al., 2015).
In addition to the ICE1–CBF cold-response pathway, basic region/leucine zipper (bZIP) TFs have also been implicated in the regulation of signalling networks during cold stress in plants. bZIP proteins comprise a large and highly conserved group of eukaryotic TFs and are classified into 13 groups (designated A–L and S) (Correa et al., 2008). Members of group A, for example, the ABRE-binding factors (ABFs), have been extensively studied and are thought to function in abscisic acid (ABA) and abiotic stress signalling in arabidopsis (Choi et al., 2000; Uno et al., 2000; Jakoby et al., 2002; Kang et al., 2002; Kim et al., 2004; Correa et al., 2008). AtbZIP1 and AtbZIP24, which belong to groups S and F, respectively, are also positive regulators of plant tolerance to abiotic stressors, and a group C bZIP, AtbZIP63, was found to be central to the glucose–ABA interaction network (Yang et al., 2009; Matiolli et al., 2011; Sun et al., 2012). In rice, OsABF1/OsbZIP12, OsABF2/OsbZIP46, OsbZIP23, OsbZIP71 and OsbZIP72 also play important roles in the abiotic stress response (Xiang et al., 2008; Lu et al., 2009; Amir Hossain et al., 2010; Hossain et al., 2010; Liu et al., 2014) Furthermore, the maize bZIP TF ZmbZIP72 has been shown to confer drought and salt tolerance in transgenic arabidopsis (Ying et al., 2012). Notably, a number of additional bZIP genes have been implicated in the regulation of the arabidopsis, rice and soybean cold response. For example, overexpression of AtABF3 conferred increased tolerance to chilling, freezing, high temperature, oxidative stress and drought conditions, and in transgenic arabidopsis, overexpression of GmbZIP1 improved the tolerance to several abiotic stresses including salinity, cold temperatures and drought (Kim et al., 2004; Gao et al., 2011). OsbZIP52, a member of the group C bZIP genes, participates in abiotic stress signalling and negatively regulates cold and drought responses in rice (Liu et al., 2012). The soybean C2H2-type zinc finger protein GmSCOF1 positively regulates COR gene expression mediated by GmSGBF1 (GmbZIP116) by enhancing its DNA-binding activity via protein–protein interactions and can thus enhance the cold tolerance of plants (Kim et al., 2001). Furthermore, GmbZIP44, GmbZIP62 and GmbZIP78 function as negative regulators of ABA signalling and confer salt and freezing tolerance in transgenic arabidopsis (Liao et al., 2008).
Our laboratory has previously cloned 18 CsbZIP genes in the tea plant and demonstrated that the exposure to cold, drought, salinity and ABA stress conditions resulted in the up- or downregulation of different CsbZIP genes (Cao et al., 2015). Even though the expression of several CsbZIP genes has been reported to be regulated by abiotic stresses, few members of this multigene family have been functionally characterized in the tea plant. In this study, we report the functional characterization of CsbZIP6, a member of the group C bZIP family in the tea plant. CsbZIP6 is upregulated during cold acclimation in the tea plant and localizes to the nuclei in arabidopsis roots. The overexpression of CsbZIP6 in arabidopsis resulted in hypersensitivity to freezing and ABA treatment. Microarray analysis revealed the downregulation of many genes involved in the cold and water deprivation response in the leaves of CsbZIP6 overexpression lines. A better understanding of the cold signalling mechanisms may ultimately allow the targeted engineering of hardier tea plants with an enhanced cold tolerance.
MATERIALS AND METHODS
Plant materials
Six different tea plant [Camellia sinensis (L.) Kuntze] cultivars, Damianbai (DMB), Hanlv (HL), Longjing 43 (LJ43), Zhenong 12 (ZN12), Zhenong 113 (ZN113) and Zhenong 21 (ZN21), were used in this study. The plants had been grown for 15 years in a field at the Tea Research Institute of the Chinese Academy of Agricultural Sciences, Hangzhou, China (TRI, CAAS, 3010′N, 1205′E). In the natural cold acclimation assay, the first two apical mature leaves from select healthy tea bushes in the same farm were sampled at 09·30 to 10·30 h. For quantitative RT-PCR (qRT-PCR) analysis, three independent biological replicates were performed. Each replicate was collected from >10 randomly selected tea plants.
The Arabidopsis thaliana ecotype Columbia-0 (Col-0) was used as wild-type (WT) controls and to generate the CsbZIP6 overexpression (OE) lines. Transgenic arabidopsis plants were produced by Agrobacterium tumefaciens-mediated transformation (strain GV3101) (Clough and Bent, 1998). The CsbZIP6-OE lines in the Col-0 background constitutively express CsbZIP6 with a C-terminal enhanced green fluorescent protein (eGFP) tag under the control of the 35S promoter. For the experiments, seeds from T3 homozygote OE lines were used.
To construct the overexpression vector, the CsbZIP6 open reading frame (ORF) was amplified using the following primer pair: 5′-CACCATGACGGCGGAGGAAGAAACG-3′ and 5′-TGCT T T CCGTTACACTGAGTC-3′. The amplified fragment was cloned into the pENTR/D-TOPO vector (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s protocol and sequenced (‘pENTR-CsbZIP6’). The CsbZIP6 ORF was then cloned from pENTR-CsbZIP6 into pH7FWG2 which contains a C-terminal eGFP fragment using LR clonase II enzyme mix (Invitrogen) (Takahashi et al., 2011). The resulting plasmid was designated as ‘pH7FWG2-CsbZIP6’ and used for Agrobacterium-mediated transformation of arabidopsis Col-0 plants.
Growth conditions
After 5 min surface sterilization in 10 % NaClO, seeds were rinsed five times with sterile water and stratified at 4 °C for 2–4 d before being planted on half-strength Murashige and Skoog (1/2 MS) medium containing 1·5 % sucrose. For the germination test, seeds were grown on 1/2 MS medium with or without 0·5 μm ABA for 10 d. For aseptic growth, seeds were grown on 1/2 MS medium for 7 d and then transferred to 1/2 MS medium containing 0·5 μm ABA for 14 d. Plants were grown in a growth chamber on a 10 h light/14 h dark regime at a light intensity of 100 μmol m–2 s–1 with daytime temperatures of 22 °C and night-time temperatures of 18 °C.
For freezing treatment, seedlings were grown on 1/2 MS medium for 10 d, and then transplanted to a soil mixture consisting of 3:2:1 peat moss:vermiculite:perlite for 20 d in the growth chamber on a 10 h light/14 h dark regime at a light intensity of 100 μmol m–2 s–1 with daytime temperatures of 22 °C and night-time temperatures of 18 °C. Then, plants were grown at 4 °C for 2 d under a normal photoperiod followed by 8 h at –6 °C, and the leaves were collected for measurement of electrolyte leakage (EL), malondialdehyde (MDA) and total soluble sugar (TSS) contents. For phenotype observation, the plants were grown under normal conditions (10 h 22 °C light/14 h 18 °C dark) for another 2 d after freezing treatment, and the photos were taken. For analysis of the percentage unstressed plants, the plants were grown under normal conditions (10 h 22 °C light/14 h 18 °C dark) for another 7 d after freezing treatment, and then the plants of which more than half of the leaves were withered as well as the dead plants were counted as stressed plants.
Promoter region amplification
The promoter region of CsbZIP6 was amplified using the Genome Walking Kit (Takara) according to the manufacturer’s protocol. Genomic DNA was isolated from the tea plant cultivar LJ43 and used as the PCR template. The primary reaction used the CsbZIP6 gene-specific primer (GSP) 1 (5′-ACG GCTCTTGAGGAAGGCTTGATACTC-3′) and the AP1 primer provided in the kit. The secondary reaction used the CsbZIP6 GSP 2 (5′-TGTCGTCCAC TGAAAACACCCT ATC CA-3′) and the AP2 primer provided in the kit. To analyse cis-acting regulatory elements, CsbZIP6 promoter sequences in cultivars HL and ZN21 were amplified in reference to the sequence in LJ43 using the primers pair: 5′-GGCTGGTATCA A G TCAACTGAAAAT-3′ and 5′-TCCTCCGCCGTCATCG GT A A ACGTA-3′.
Phylogenetic analysis of bZIP proteins
Alignment and phylogenetic tree assembly were conducted using default settings and the Neighbor–Joining algorithm of MEGA version 5 with 1000 bootstrap trials. Amino acid sequences of the bZIP proteins used for the analysis are listed in Supplementary Data Table S1.
Measurement of electrolyte leakage (EL)
For each condition, a total of six leaves were collected from three plants per line (two leaves per plant) and processed for EL measurements. Collected leaves were cut up and placed into tubes containing 4 mL of distilled water. The tubes were subjected to a vacuum three times at 5 min intervals to remove any air bubbles adherent to the surface of the leaves. Then, tubes were shaken at 200 rpm and 25 °C for 2 h. The conductivity of the solutions was measured at 25 °C (R1) using the conductivity meter Orion 5 Star (ThermoFisher Scientific). The solutions were then boiled at 100 °C for 20 min to lyse the plant cell walls completely. After cooling to 25 °C, the electrolyte conductivity of the boiled solutions was recorded (R2). The EL percentage was defined as follows: EL (%) = (R1/R2) × 100 %.
Measurement of malondialdehyde (MDA)
To measure MDA content, 0·2 g leaf samples were finely ground in liquid nitrogen and then homogenized in 5 mL of 10 % trichloroacetic acid. After centifugation, 3 mL of the supernatant was mixed with 3 mL of 0·67 % thiobarbituric acid. The mixture was boiled for 30 min and then rapidly cooled on ice. After centrifugation, the absorbance of the mixture was measured spectrophotometrically at 450, 532 and 600 nm, and the MDA content was calculated as previously described (Xu et al., 2008).
Measurement of total soluble sugar (TSS) content
To measure TSS content, 0·1 g leaf samples from WT and OE plants were lyophilized and homogenized. Soluble sugars were extracted with 1·5 mL of 80 % ethanol and shaken at 250 rpm at 60 °C for 30 min. After centrifuging at 11 000 g for 10 min, the supernatants were processed for TSS determination by the phenol–sulphuric acid method (DuBois et al., 1956).
Microarray analysis
Seedlings were germinated, grown on 1/2 MS medium for 2 weeks and then transferred to soil. Thirty-day-old plants (WT, 6-OE-1 and 6-OE-2) were grown at 4 °C (‘cold’) or normal conditions (‘normal’) for 4 d before the leaves were sampled, snap-frozen in liquid nitrogen and stored at –80 ºC until RNA isolation. Each replicate was collected from one seedling. Three biological replicates were used for the analysis, except for the ‘normal’ 6-OE-2 samples which lack a replicate because of sub-standard RNA quality. The Agilent Arabidopsis Gene Expression microarray (4 × 44K, Design ID: 021169) was used in this experiment. Total RNA was extracted from leaf samples using Trizol reagent (Invitrogen) according to the manufacturer’s protocol. Total RNA was quantified by spectrophotometry using the NanoDrop ND-2000 (Thermo Scientific), and RNA integrity was assessed using the Agilent Bioanalyzer 2100 (Agilent Technologies). The sample labelling, microarray hybridization and washing steps were performed according to the manufacturer’s standard protocols. Briefly, total RNA was reverse-transcribed to double-stranded cDNA, then synthesized into cRNA and labelled with Cyanine-3-CTP. The labelled cRNAs were hybridized onto the microarray which was washed and then scanned by the Agilent Scanner G2505C (Agilent Technologies). Feature Extraction software (version 10.7.1.1, Agilent Technologies) was used to analyse array images to obtain raw data. The Genespring (version 13.1, Agilent Technologies) statistical tool was used for the basic analysis of the raw data. Raw data were first normalized with the quantile algorithm. Probes in any one out of all conditions that were flagged as ‘Detected’ were chosen for further analysis. Differentially expressed genes (DEGs) between the OE and WT plants were then identified through fold change (FC) analysis and assessed for statistical significance using the Student’s t-test. The threshold for DEGs was an FC ≥ 2·0 and a P-value ≤0·05. Afterwards, Gene Ontology (GO) enrichment analysis was applied to assess the roles of these DEGs. The MapMan analysis was performed with MapMan version 3.5.1R2, and the DEGs were compared with public domain Ath_AGI_TAIR9_Jan2010 data sets (Thimm et al., 2004). All microarray data generated in this study have been deposited in the NCBI GEO database and are accessible through GEO Series accession number GSE84570 (release date: 1 July 2017).
Quantitative RT-PCR
Total RNA was extracted from leaf samples using Trizol reagent (Invitrogen) according to the manufacturer’s protocol. RNA samples (1 μg) were then treated with RNase-free DNase I (Takara Biomedicals, Tokyo, Japan) to remove residual genomic DNA. First-strand cDNA was synthesized using a PrimeScript™ RT reagent Kit (Takara) according to the manufacturer’s protocol. qRT-PCR was performed using the SYBR Premix Ex Taq™ II (Takara) on an ABI 7500 fast real-time PCR system (Applied Biosystems). Triplicate quantitative assays were performed for each sample, and expression levels were normalized to the reference genes CsPTB and AtEF (AT5G19510) using the formula 2–ΔCt (Yuan et al., 2008; Hao et al., 2014). All primer sequences used for qRT-PCR are listed in Supplementary Data Table S2.
Statistical analysis
Significance was determined by a one-way analysis of variance (ANOVA) for the treatment comparisons in Figs 4, 5 and 6, and by Fisher’s least significant difference (LSD) test for differences between groups (P < 0·05).
Fig. 4.
ABA sensitivity of CsbZIP6-OE plants. (A) Homozygous seeds from WT plants or two OE lines were germinated on 1/2 MS medium with or without 0·5 μm ABA for 10 d. (B) The survival rate of the seeds grown on 1/2 MS medium with or without 0·5 μm ABA after 10 d. Experiments were performed in triplicate (n = 50 each). Data are shown as the mean ± s.d. (C, D) ABA response of root growth. Seeds were germinated for 7 d on ABA-free medium, and the seedlings were then transferred to medium with or without 0·5 μm ABA. Root length was measured 14 d after the transfer. Data are shown as the mean ± s.d. Significance is indicated by one (P < 0·05) or two (P < 0·01) asterisks.
Fig. 5.
Freezing tolerance of CsbZIP6-OE arabidopsis. (A, B) Growth performance of WT and two CsbZIP6-OE transgenic arabidopsis lines under normal conditions (before freezing) and after freezing treatment (–6 °C for 8 h). One-month-old plants were grown at 4 °C for 2 d, transferred to –6 °C for 8 h and then grown under normal conditions (10 h 22 °C light/14 h 18 °C dark) for an additional 2 d. (C) Percentage unstressed plants of OE lines and WT plants after freezing treatment. The plants were grown under normal conditions (10 h 22 °C light/14 h 18 °C dark) for another 7 d after freezing treatment, and then the plants of which more than half the leaves were withered as well as the dead plants were counted as stressed plants. Data are shown as the mean ± s.d. (n = 12). Significant (P < 0·05) differences in OE lines compared with the WT is indicated by an asterisk.
Fig. 6.
Analysis of electrolyte leakage, soluble sugar content and MDA content in OE lines and WT plants. One-month-old plants were grown at 4 °C for 2 d, transferred to –6 °C for 8 h, and the leaves were collected and measured. Data are shown as the mean ± s.d. (n = 3). Significance of differences is indicated by one (P < 0·05) or two (P < 0·01) asterisks.
RESULTS
Effects of abiotic stress exposure on CsbZIP6 transcription
A previous study classified CsbZIP6 as a group C bZIP TF based on the phylogenetic tree of CsbZIPs and AtbZIPs and demonstrated that its transcript abundance was induced by ABA but not by 3 d cold stress treatment (Cao et al., 2015). The baseline expression level of CsbZIP6 exceeded that of the reference gene CsPTB and was almost twice as high in leaves as in roots (Cao et al., 2015). Here, the CsbZIP6 expression pattern was examined in the leaves of six different tea plant cultivars during cold acclimation. qRT-PCR analysis showed that the basal level of CsbZIP6 expression was higher than that of CsPTB and CsCBF1 (JX028828) in the leaves of non-acclimated tea plants, and the transcript abundance of CsbZIP6 was highest in samples collected on 13 January, when the air temperature was lower than at any other collection time and tea plants were acclimatizing to cold conditions (Fig. 1). In contrast to CsCBF1, the induction of CsbZIP6 was less in terms of magnitude in leaves (Fig. 1B). The level of CsbZIP6 induction in response to cold acclimation differed between the different tea cultivars. For example, CsbZIP6 expression was nearly five times higher on 13 January than on November 6 in HL but only 1·3 times higher in ZN21 (Fig. 1). Therefore, CsbZIP6 transcription appears to be induced in response to cold temperatures.
Fig. 1.
Changes in air temperature and CsbZIP6 expression levels in the leaves of six tea plant cultivars during cold acclimation. (A) Changes in the air temperature from November 2015 to February 2016. The maximum (Max), minimum (Min) and average (Avg) daily temperatures recorded are shown. Leaf sampling time points are indicated with red circles on the x-axis. The Avg temperatures on sampling days were 22·9 °C (6 November), 6·1 °C (25 November), 8·4 °C (15 December), 3·9 °C (13 January) and 7·3 °C (25 February). (B) Expression analysis of CsbZIP6 and CsCBF1 transcript abundance in the leaves of six tea plant cultivars during cold acclimation. Transcript abundance was determined by qRT-PCR. Data are shown as the mean ± s.e.m. (n = 3). All values are expressed relative to the CsPTB expression level.
Using genome walking PCR, a 2201 bp region upstream of the CsbZIP6 start codon (ATG) was successfully amplified from total genomic DNA of the LJ43 cultivar and sequenced (Supplementary Dataset S1). CsbZIP6 promoter sequences were also amplified from HL and ZN21 cultivars as these two cultivars showed the biggest difference in CsbZIP6 induction (Supplementary Dataset S1). Analysis of the CsbZIP6 promoter region by PLACE (a database of plant cis-acting regulatory DNA elements) revealed the presence of several cis-acting elements associated with stress responses, including an ABA-responsive cis-element (ABRE; ACGTG), a cold-responsive cis-element (CBF HV; RYCGAC), a low temperature response element (LTRE), and MYB and MYC recognition sites (Table 1) (Higo et al., 1998). Although some bases in CsbZIP6 promoters were different among the three cultivars, there was no difference in the ABRE, CBF HV and LTRE elements, indicating that the alteration in cold induction was not caused by the promoters.
Table 1.
Putative cis-acting regulatory elements in the promoter region (Supplementary Dataset S1) upstream of the CsbZIP6 start codon in LJ43, ZN21 and HL cultivars
| Motif name | Sequence | No. of motifs in two strands of DNA sequences |
Description | ||
|---|---|---|---|---|---|
| LJ43 | ZN21 | HL | |||
| ABRELATERD1 | ACGTG | 1 | 1 | 1 | ABRE-like sequence |
| ACGTATERD1 | ACGT | 8 | 8 | 8 | Dehydration-responsive element |
| DOFCOREZM | AAAG | 21 | 19 | 20 | Stress-responsive element |
| GATABOX | GATA | 18 | 18 | 18 | Light-responsive element |
| GT1GMSCAM4 | GAAAAA | 4 | 4 | 4 | Salinity-responsive element |
| LTRECOREATCOR15 | CCGAC | 1 | 1 | 1 | Low temperature- and ABA-responsive element |
| MYB1AT | WAACCA | 4 | 4 | 4 | MYB recognition site; dehydration, ABA-responsive element |
| MYBCORE | CNGTTR | 2 | 2 | 3 | |
| MYB2CONSENSUSAT | YAACKG | 1 | 1 | 2 | |
| MYBPLANT | MACCWAMC | 2 | 2 | 2 | |
| MYCCONSENSUSAT | CANNTG | 8 | 8 | 8 | MYC recognition site; dehydration, ABA-responsive element |
| MYCATERD1 | CATGTG | 1 | 1 | 1 | |
| MYCATRD22 | CACATG | 1 | 1 | 1 | |
| CBF HV | RYCGAC | 2 | 2 | 2 | Dehydration-responsive element (DRE)-binding proteins |
| C-repeat/DRE | TGGCCGAC | 1 | 1 | 1 | Regulatory element involved in cold and dehydration responsiveness |
| DPBF CORE | ACACNNG | 1 | 1 | 1 | bZIP-binding core sequence |
The PLACE database (http://www.dna.affrc.go.jp/PLACE/) was used to perform the analysis.
Abiotic stress-responsive motifs are listed in alphabetical order.
Phylogenetic analysis of CsbZIP6
There are 75, 89, 131 and 126 predicted members of the bZIP family of transcription factors in arabidopsis, rice, soybean and maize, respectively (Jakoby et al., 2002; Liao et al., 2008; Nijhawan et al., 2008; Wei et al., 2012). To investigate the evolutionary and structural relationship between CsbZIP6 and previously characterized bZIPs involved in the abiotic stress response in arabidopsis, rice, soybean and maize, phylogenetic analysis using amino acid sequences was performed. Most of the bZIP proteins branched into two main clades (Fig. 2). While the ABFs clustered into Clade I, CsbZIP6 fell into the oppositely branched Clade II. CsbZIP6 was most closely related to AtbZIP63, which has previously been reported to function as a regulator of ABA-mediated abiotic stress responses, followed by AtbZIP1, OsbZIP52 and GmbZIP62 (Matiolli et al., 2011).
Fig. 2.
Phylogenetic tree of CsbZIP6 and known bZIP transcription factors that function in the abiotic stress response. bZIP transcription factors from arabidopsis, rice, soybean and maize were subjected to the Neighbor–Joining algorithm phylogenetic tree construction using MEGA software version 5 with default settings. The amino acid sequences used to generate this phylogenetic analysis are listed in Table S1.
Generation of CsbZIP6 overexpression and reporter lines in arabidopsis
To examine the function of CsbZIP6, transgenic lines that constitutively overexpress CsbZIP6 were developed in A, thaliana ecotype Col-0. Two independent OE lines, 6-OE-1 and 6-OE-2, were confirmed by qRT-PCR (Fig. 3). As expected, the CsbZIP6 transcript levels were significantly higher in both OE lines than in their WT counterparts where CsbZIP6 expression was undetectable (Fig. 3A).
Fig. 3.
CsbZIP6 expression in the leaves of arabidopsis overexpression (OE) plants and protein subcellular localization. (A) Expression of CsbZIP6 in the leaves of arabidopsis Col-0 and two CsbZIP6-OE lines, respectively. Data are shown as the mean ± s.d. (n = 3). (B–K) Subcellular localization of CsbZIP6 in arabidopsis roots. Localization of C-terminal GFP tag of CsbZIP6::eGFP proteins in arabidopsis roots by fluorescence microscopy. Representative images were taken under fluorescence (B, E, F, I, J, K), under transmitted light (C, G) or as an overlay of both channels (D, H). The green signals indicate GFP and the red signals indicate non-specific background. (J, K) Magnification of (B) and (F), respectively. Scale bar = 50 μm.
To determine its subcellular localization, the full-length CsbZIP6 cDNA was cloned in-frame to the 5′ end of eGFP. Targeting ability was tested in arabidopsis roots, and results showed that the CsbZIP6::eGFP fusion proteins were targeted to arabidopsis nuclei (Fig. 3).
Effects of CsbZIP6 overexpression on ABA sensitivity
Since CsbZIP6 is induced by ABA, we further tested if CsbZIP6 is involved in ABA sensitivity and the ABA-dependent regulation pathway by germination tests using the OE and WT plants lines. There were no differences in the germination rates of OE and WT plants in 1/2 MS medium (Fig. 4A, B). However, the addition of 0·5 μm ABA to the 1/2 MS medium led to lower germination rates in the OE lines than in WT plants (Fig. 4A, B). The effects of ABA on seedling development were also investigated, and no significant differences between the shoot or root growth of OE and WT plants were found in 1/2 MS medium. However, the roots of OE plants grown in the presence of 0·5 μm ABA were significantly shorter than the roots of WT plants raised under the same conditions (Fig. 4C, D). These results indicate that CsbZIP6-OE plants are more sensitive to ABA, and we propose that CsbZIP6 is involved in ABA signalling.
Effects of CsbZIP6 overexpression on freezing tolerance
Because the expression of CsbZIP6 is induced during cold acclimation in the tea plant, we next investigated whether CsbZIP6 is involved in the adaptation to cold stress. While no striking phenotypic differences between homozygous OE lines and WT plants raised under normal growth conditions were apparent (Fig. 5A), the OE lines displayed more severe freezing damage and a lower ratio of unstressed plants than WT plants following an 8 h exposure to –6 °C (Fig. 5B, C).
The control of membrane integrity and membrane-associated functions is crucial for cold tolerance, and cold stress-induced membrane damage can result in EL which is an indicator for the amount of damaged cells (Verslues et al., 2006). Under normal conditions, both the OE lines and WT plants had comparable levels of relative EL (Fig. 6). However, under freezing conditions, the leaves of the OE lines released 75·6 and 66·0 % of their total electrolytes, respectively, whereas WT leaves released 46·5 %, indicating that CsbZIP6-OE plants were more vulnerable to membrane damage when exposed to freezing temperatures than WT plants.
When plants are exposed to cold temperatures, accumulated soluble sugars can act as osmoprotectants to protect the cell structure by binding water molecules during the dehydration induced by extracellular freezing (Ingram and Bartels, 1996). We therefore compared the total soluble sugar content in OE and WT plants exposed to normal or freezing conditions. In the two OE lines, the TSS content was either marginally (P = 0·07) or significantly (P < 0·05) less than in WT plants (Fig. 6).
We also measured MDA which is a breakdown product of peroxidized polyunsaturated fatty acids in plant membranes and can indicate lipid peroxidation levels (Weber et al., 2004). In freezing conditions, the MDA content in one of the two OE lines was slightly higher than in WT plants, indicating a higher degree of lipid peroxidation in CsbZIP6-OE plants (Fig. 6). Altogether, these observations suggest that the constitutive overexpression of CsbZIP6 in arabidopsis lowers the plant’s tolerance to cold stresses.
Effect of CsbZIP6 overexpression on the expression of cold-responsive genes in arabidopsis
To obtain further insights into the molecular mechanisms by which CsbZIP6 mediates sensitivity to cold stress in arabidopsis plants, we compared the gene expression profiles in the leaves of both CsbZIP6-OE lines and WT plants. DEGs were selected based on fold change (FC > 2·0) and P-value (P < 0·05). Under normal conditions, 418 genes were differentially expressed in WT and OE plants, while more than three times as many genes (1263) were differentially expressed in WT and OE plants under cold stress conditions, thereby supporting a specific role for CsbZIP6 in the cold stress response in leaves (Fig. 7A). Since the OE lines exhibit an increased sensitivity to freezing stress, we also compared the DEGs in OE and WT leaves exposed to cold stress with the complete cold-altered transcriptome of WT leaves. In summary, 344 of the genes that were differentially expressed in cold-treated OE and WT plants overlapped with cold stress-responsive genes in WT plants (Fig. 7B). Of these 344 DEGs, 124 DEGs showed the same and 220 DEGs the inverse regulation in the two comparisons (Fig. 7B).
Fig. 7.
Differential expression analyses in WT and CsbZIP6-OE plants. (A) Venn diagram showing the number of significantly differentially expressed genes (P < 0·05, 2-fold cut-off) in the OE lines compared with WT plants under cold and normal conditions. (B) Venn diagram showing the number of significantly differentially expressed genes (P < 0·05, 2-fold cut-off) in OE lines compared with WT plants and the significantly differentially expressed genes (P < 0·05, 2-fold cut-off) in response to cold in the WT. The overlapping area indicates the number of DEGs showing the same and the inverse regulation in the two comparisons, respectively. (C) Significantly (P < 0·05, 10-mapped-gene cut-off) enriched GO terms among the 418 and 1263 differentially expressed genes between OE and WT plants under normal and cold conditions, respectively. (D) MapMan starch metabolism map showing differences in transcript levels between OE and WT plants under cold conditions.
We further characterized the network of DEGs by GO enrichment analysis with a significance cut-off at P < 0·05. Closer examination of the DEGs between OE and WT plants under normal and cold conditions revealed 75 and 81 enriched GO terms belonging to ‘biological processes’, respectively (Supplementary Data Table S3 and S4). Notably, under normal conditions, 21 enriched GO terms had >10 genes mapped, including plant hormone-related pathways (containing ‘ABA-activated signalling pathway’ and ‘response to ABA’) and abiotic stress-related pathways (containing ‘response to cold’, ‘response to oxidative stress’ and ‘response to water deprivation’) (Fig. 7C). Under cold conditions, 29 enriched GO terms had >10 genes mapped, including sugar-related pathways and abiotic stress pathways (containing ‘response to cold’ and ‘response to water deprivation’) (Fig. 7C). We speculate that these pathways are important determinants of the phenotypic differences of the CsbZIP6-OE lines exposed to cold and ABA stress conditions.
The fundamentally different abiotic stresses drought, salinity and freezing all share the commonality that they decrease the availability of water to plant cells. The genes differentially expressed under cold conditions that mapped to ‘response to cold’ and ‘response to water deprivation’ GO terms are listed in Table 2. Interestingly, most cold-inducible genes were downregulated while the cold-repressible genes AtMYB15, AtDIN10 and AtBT5 were upregulated in the OE lines.
Table 2.
Microarray analysis of WT and CsbZIP6-OE plants
| Probe name | TAIR identifiers | Gene name | GO term | Description | Fold change |
||
|---|---|---|---|---|---|---|---|
| (OE-1 + OE-2) vs. WT |
Cold vs. normal | ||||||
| Cold | Normal | WT | |||||
| Cold-inducible genes | |||||||
| A_84_P16574 | AT3G57260 | BGL2 | Response to cold | β-1,3-Glucanase 2 | –3 ·5 | X | 7 ·32 |
| A_84_P17366 | AT1G01250 | ERF023 | Response to water deprivation; response to cold | DREB subfamily | –3 ·13 | X | 6 ·96 |
| A_84_P18510 | AT4G04490 | CRK36 | Response to cold | Cysteine-rich RLK 36 | –2 ·85 | X | 12 ·66 |
| A_84_P16776 | AT5G06760 | LEA4-5 | Response to water deprivation; response to cold | Late embryogenesis abundant 4–5, protects enzyme activities from freeze–thaw cycles | –2 ·7 | X | 8 ·04 |
| A_84_P15628 | AT3G57240 | BG3 | Response to cold | Glycosyl hydrolase | –2 ·67 | X | 21 ·82 |
| A_84_P14611 | AT3G29320 | PHS1 | Response to water deprivation; response to cold | α-Glucan phosphorylase 1 | –2 ·44 | X | 3 ·53 |
| A_84_P16114 | AT1G09350 | GolS3 | Response to cold | Galactinol synthase 3 | –2 ·31 | X | 729 ·9 |
| A_84_P291304 | AT1G29395 | COR413IM1 | Response to water deprivation; response to cold | Cold regulated 413 inner membrane 1 | –2 ·31 | X | 6 ·43 |
| A_84_P598557 | AT5G57380 | VIN3 | Response to cold | Vernalization insensitive 3 | –2 ·19 | –2 ·0 | 6 ·81 |
| A_84_P167173 | AT4G25480 | DREB1A/CBF3 | Response to water deprivation; response to cold | C-repeat binding factor 3 | –2 ·18 | –1 ·79 | 21 ·39 |
| A_84_P21841 | AT1G02930 | GSTF6 | Response to water deprivation | Glutathione S-transferase F6 | –2 ·13 | X | 6 ·65 |
| A_84_P234853 | AT5G15960 | KIN1 | Response to water deprivation; response to cold | Cold and ABA inducible protein KIN1, anti-freeze protein | –2 ·07 | X | 268 ·86 |
| A_84_P15651 | AT3G63010 | GID1B | Response to water deprivation; response to cold | GA insensitive dwarf 1B | –2 ·04 | –1 ·61 | 2 ·87 |
| A_84_P855617 | AT5G20630 | GER3 | Response to cold | Germin like protein 3 | 2 ·97 | X | 2 ·62 |
| Cold-repressive genes | |||||||
| A_84_P820158 | AT2G18050 | HIS1-3 | Response to water deprivation | Histone H1-3 | –3 ·28 | –1 ·73 | –18 ·52 |
| A_84_P860582 | AT4G34000 | ABF3/BZIP37 | Response to water deprivation | Abscisic acid responsive elements-binding factor 3 | –2 ·40 | –1 ·26 | –3 ·84 |
| A_84_P13518 | AT1G19640 | JMT | Response to water deprivation | Jasmonic acid carboxyl methyltransferase | –2 ·17 | X | –6 ·21 |
| A_84_P21458 | AT4G37610 | BT5 | Response to cold | BTB and TAZ domain protein 5 | 12 ·36 | X | –35 ·4 |
| A_84_P14131 | AT5G20250 | DIN10 | Response to cold | Dark inducible 10, raffinose synthase 6 | 10 ·14 | –2 ·21 | –23 ·19 |
| A_84_P870349 | AT3G23250 | MYB15 | Response to water deprivation | MYB domain protein 15 | 2 ·39 | X | –4 ·72 |
| Genes not regulated by cold in the present study | |||||||
| A_84_P12977 | AT5G01600 | FER1 | Response to cold | Ferritin 1 | –3 ·38 | X | X |
| A_84_P799845 | AT1G49480 | RTV1 | Response to cold | Related to vernalization 1 | –2 ·69 | X | X |
| A_84_P17929 | AT1G56600 | GolS2 | Response to water deprivation; response to cold | Galactinol synthase 2 | –2 ·5 | X | X |
| A_84_P17859 | AT5G57560 | TCH4 | Response to cold | Cell wall modifying enzyme | 4 ·32 | X | X |
| A_84_P857901 | AT3G22310 | PMH1 | Response to water deprivation; response to cold | Putative mitochondrial RNA helicase 1 | 3 ·16 | X | X |
| A_84_P12714 | AT3G23830 | GRP4 | Response to water deprivation; response to cold | Glycine-rich RNA binding protein 4 | 2 ·78 | 1 ·38 | X |
| A_84_P10108 | AT4G36020 | CSDP1 | Response to water deprivation; Response to cold | Cold shock domain protein 1 | 2 ·65 | X | X |
| A_84_P807865 | AT2G36530 | LOS2 | Response to cold | Low expression of osmotically responsive genes 2 | 2 ·53 | X | X |
| A_84_P11113 | AT5G08620 | STRS2 | Response to water deprivation; response to cold | Stress response suppressor 2 | 2 ·48 | 1 ·17 | X |
| A_84_P811094 | AT1G56070 | LOS1 | Response to cold | Low expression of osmotically responsive genes 1 | 2 ·4 | X | X |
| A_84_P849175 | AT1G55490 | CPN60B | Response to cold | Chaperonin 60β | 2 ·04 | X | X |
| A_84_P813301 | AT5G08280 | HEMC | Response to cold | Hydroxymethylbilane synthase | 2 ·02 | X | X |
| A_84_P24062 | AT3G23920 | BAM1 | Response to water deprivation | β-Amylase | –2 ·51 | –1 ·45 | X |
| A_84_P20156 | AT2G41430 | ERD15 | Response to water deprivation | Early responsive to dehydration 15 | –2 ·19 | –1 ·51 | X |
| A_84_P18627 | AT4G39090 | RD19 | Response to water deprivation | Responsive to dehydration 19 | –2 ·29 | –1 ·75 | X |
| A_84_P851466 | AT1G55740 | SIP1 | Response to water deprivation | Seed imbibition 1 | 2 ·29 | X | X |
| A_84_P50830830 | AT1G47128 | RD21 | Response to water deprivation | Dehydration stress-responsive gene | –2 ·05 | –1 ·20 | X |
| A_84_P251265 | AT1G63720 | HRGP | Response to water deprivation | Hydroxyproline-rich glycoprotein family protein | –2 ·08 | X | X |
| A_84_P116602 | AT2G01830 | AHK4 | Response to water deprivation | Histidine kinase 4 | 2 ·07 | X | X |
| A_84_P22337 | AT4G21440 | MYB102 | Response to water deprivation | R2R3 family MYB transcription factor | –2 ·96 | X | X |
| A_84_P815408 | AT2G04030 | CR88 | Response to water deprivation | Chloroplast heat shock protein 90 | 2 ·26 | X | X |
| A_84_P854478 | AT1G54160 | NF-YA5 | Rsponse to water deprivation | Nuclear transcription factor Y subunit A-5 | –2 ·0 | X | X |
Differential expression of genes (P < 0·05, 2-fold cut-off) between OE and WT plants under cold conditions mapped in the GO terms ‘response to cold and response to water deprivation’ (P < 0·05, false discovery rate < 0·05), their expression in OE compared to WT plants under normal conditions, and their response to cold stress in WT plants.
Fold change is shown for each comparison; ‘X’ indicates no significant differential expression.
Significance was determined by a P-value < 0 ·05. A caret (^) indicates marginal significance (0 ·05 < P < 0 ·07).
To analyse further the transcriptomic changes of the OE lines in response to cold treatment, we next compared gene expression changes via microarray using the MapMan software (Thimm et al., 2004). Starch metabolism was downregulated in the OE lines under cold conditions, revealing that it might play an important role in CsbZIP6 regulating plant response to cold stress (Fig. 7D). In conclusion, we hypothesize that reduced starch degradation might decrease the soluble sugar content and thus make plants more vulnerable to osmotic cell wall damage. The microarray data were further confirmed by qRT-PCR, showing six and three genes that were down- or upregulated, respectively, in the leaves of the CsbZIP6-OE lines (Supplementary Data Fig. S1).
DISCUSSION
In this study, we showed that CsbZIP6 is induced during cold acclimation. Constitutive overexpression of CsbZIP6 decreases the cold tolerance in transgenic arabidopsis plants by negatively regulating cold-related genes.
CsbZIP6 gene expression was regulated by both ABA and cold exposure (Fig. 1B) (Cao et al., 2015). Sequence analysis identified several types of stress-responsive elements in the CsbZIP6 promoter region including ABRE, DRE, MYB and MYC recognition sites which are recognized by bZIP, CBF, MYB and MYC TFs, respectively (Table 1). Since these elements play crucial roles in the plant response to ABA and abiotic stress exposures such as cold, CsbZIP6 may also be involved in ABA- and abiotic stress-mediated signalling.
Even though CsbZIP6 expression was not affected by a 3 d cold stress (4 °C) treatment (Cao et al., 2015), it was induced during tea plant cold acclimation in the present study (Fig. 1B). Actually, there was no significant alteration in the EL of leaves of LJ43 between normal conditions (15 °C) and cold stress conditions (2 °C treatment for 1–7 d), and leaves released 29–33 % of their total electrolytes in that process (Huang et al., 2015). Notably, the leaves released 40–46 % of their total electrolytes on 13 January in this study (Supplementary Data Fig. S2). This suggests that the different state of the leaves between short-term cold stress and natural cold acclimation may influence the expression of CsbZIP6, and the cold-responsive induction of CsbZIP6 expression might require a prolonged exposure to cold temperatures or a certain strength of low temperature. Alternatively, CsbZIP6 could be seasonally regulated by the circadian clock which has been shown to be strongly linked with cellular responses to cold temperatures. Circadian rhythms in plants are crucial for both the photoperiodic measurement of the seasons and for essential adaptations for survival in the cold (Eriksson and Webb, 2011). Furthermore, the expression of CBF genes as well as some of their downstream targets is also under circadian control (Fowler et al., 2005).
Protein sequence alignment revealed that OsbZIP52 and CsbZIP6 share 52 % amino acid identity and are classified as members of group C (Supplementary Dataset S2). OsbZIP52 is a negative regulator involved in drought and cold stress responses in rice (Liu et al., 2012). In this study, we showed that the function of CsbZIP6 in response to cold stress was similar to that of OsbZIP52. AtbZIP63, which shares 42 % amino acid identity with CsbZIP6, has been proposed to play a role in energy metabolism, seed maturation and germination under osmotic stress (Supplementary Dataset S2) (Veerabagu et al., 2014). In addition, AtbZIP63 has been reported to represent an important node in the glucose–ABA interaction network and may participate in the fine-tuning of the ABA-mediated abiotic stress response depending on sugar availability (Matiolli et al., 2011). Recently, Mair and colleagues (2015) showed that AtbZIP63 is regulated by sucrose non-fermenting-related kinase 1 (SnRK1)-dependent phosphorylation and functions in the energy starvation response and metabolic regulation. Particularly under stress conditions, the use of available energy resources needs to balance the growth and defence needs of plants (Mair et al., 2015). The data derived from Genevestigator showed that similarly to the CsbZIP6 cold response, AtbZIP63 was significantly upregulated by cold stress in several studies (Zimmermann et al., 2004). Since CsbZIP6 participates in the cold response, AtbZIP63 might also be involved in cold response regulatory pathways, and its role in the plant cold response warrants further investigation. Three tea plant CsSnRKs have been isolated in our laboratory and shown to be transcriptionally regulated by cold acclimation (Yue et al., 2015). Our microarray data identified three sugar metabolism-related pathways that were over-represented in the DEGs between OE and WT plants under cold conditions, indicating a functional CsSnRK–bZIP6 pathway in the tea plant which should be explored further in future studies.
Abscisic acid is important in seed dormancy and seed germination processes (Agarwal and Jha, 2010). It was reported that many bZIP genes mediate plant responses to ABA and abiotic stress tolerance, such as AtABF genes, OsbZIP23, OsbZIP71, etc, (Kang et al., 2002; Kim et al., 2004; Xiang et al., 2008; Liu et al., 2014). For example, OsbZIP71-RNAi (RNA interference) lines were more sensitive to ABA and osmotic stresses, and the inducible lines were insensitive to ABA and more tolerant to osmotic stress (Liu et al., 2014). CsbZIP6-OE plants were hypersensitive to ABA at both seed germination and the seedling growth stage (Fig. 4). Under cold conditons, the DEGs could be mapped to ‘seed germination’ and ‘seed dormancy’ processes, indicating that CsbZIP6 could also affect these processes, and the induction of the ABA level in response to cold may be involved in this (Lang et al., 1994) (Fig. 7C). We also found that CsbZIP6-OE plants had a lower unstressed plants ratio than WT plants in response to freezing temperatures (Fig. 5). Indirect evidence implied that altered phenotypic characteristics such as EL percentage, MDA content and TSS content might contribute to the reduced cold tolerance of CsbZIP6-OE plants. A reasonable explanation is that CsbZIP6 mediates ABA sensitivity which is involved in cold stress tolerance.
To date, a number of COR genes have been characterized. Even though COR15A, COR47 and COR78 had previously been reported to be downstream genes of CBFs, their relative expression levels did not change in the CsbZIP6-OE lines exposed to cold conditions, indicating that these COR genes were not regulated by CsbZIP6 (Supplementary Data Table S5). Jia et al. (2016) reported that CBFs only regulate 7 % of COR genes, and the cbf triple mutants do not totally abolish cold acclimation, supporting that other cod response pathways different from CBF exist. Transcript profiling indicated that CsbZIP6 overexpression only moderately affects the transcriptome of arabidopsis plants growing under normal conditions. However, there were three times as many DEGs under cold conditions as there were under normal conditions, indicating that CsbZIP6 plays an important role in the response to cold stress (Fig. 7A). Sugar plays an essential role in tea plant cold acclimation; the contents of starch, TSS and individual sugars were changed in tea plant leaves during cold acclimation (Yue et al., 2015). Since starch metabolism was down-regulated in the OE lines under cold conditions (Fig. 7D), CsbZIP6 may be involved in cold stress adaptation by regulating the sugar level.
The expression pattern of several genes was altered in CsbZIP6-OE plants, with enrichment of plant hormone-related and cold, salinity, drought and oxidative stress response pathways under normal conditions and enrichment of sugar-related and cold, salinity, drought and oxidative stress response pathways under cold conditions (Fig. 7C). These genes represent a list of potential targets which could be used to study how cold stress response could be controlled. The cross-talk of different stress responses allows plants to adapt/acclimate to a range of different stresses (Pastori and Foyer, 2002). In addition to drought and salinity, chilling and freezing temperatures can also cause osmotic stress as well as their direct effect on metabolism, and freeze-induced membrane damage results primarily from the severe dehydration associated with freezing (Thomashow, 1999; Chinnusamy et al., 2004). Oxidative stress signalling has been postulated to play a role in freezing tolerance, and this could explain the oxidative stress-related GO terms that were significantly changed in the DEGs between OE lines and WT plants. It is also similar to the report that CBF-regulated genes are not only involved in the cold stress response, but are also implicated in the drought and salt stress response (Jia et al., 2016). Thirteen of the 14 cold-induced genes listed in Table 2 were down-regulated in the OE lines under cold conditions, indicating that CsbZIP6 overexpression results in hypersensitivity to cold stress due to the suppressed induction of cold-related genes, suggesting that it functions as a negative regulator in the plant cold response. Notably, the expression of AtCBF3, a cold-inducible positive regulator involved in the cold response, was down-regulated in the CsbZIP6-OE lines compared with WT plants under cold conditions (Table 2) (Liu et al., 1998). However, AtMYB15, which can negatively regulate CBFs, was upregulated in CsbZIP6-OE plants (Table 2) (Agarwal et al., 2006). These results indicate that the AtMYB15–AtCBF3 cold-responsive signalling pathway may play an important role in CsbZIP6 regulating plant response to cold stress in arabidopsis. CsbZIP6 has CBF HV promoter elements; we propose that there is a feedback regulation loop between the CBF3-mediated ABA-independent pathway and the CsbZIP6-mediated ABA-dependent pathway.
The potential role of CsbZIP6 as a negative regulator in the cold stress response, combined with the specific induction of CsbZIP6 expression during cold acclimation, sheds new light on the cold stress response of plants at a physiological level. In arabidopsis, certain bZIP TFs have been shown to be involved in abiotic stress and ABA signalling but in the tea plant, the function of most bZIP genes in terms of the abiotic stress response is less well characterized. The knowledge gained in this study not only reveals an important regulatory function for CsbZIP6 in cold stress tolerance but also provides a foundation for the future investigation of cold-induced signalling pathways in which CsbZIP6/AtbZIP63 participate.
In conclusion, we determined the cold sensitivity of CsbZIP6-overexpressing transgenic arabidopsis plants. Our data revealed that CsbZIP6 functions as a negative regulator in the arabidopsis response to cold stress on both physiological and transcriptional levels. Nevertheless, the results described in this study highlight the need to dissect further the pathways through which CsbZIP6 regulates the tea plant’s tolerance of cold stress conditions.
SUPPLEMENTARY DATA
Supplementary data are available online at https://academic.oup.com/aob and consist of the following. Dataset S1: the promoter sequence of CsbZIP6 (upstream of the ATG codon) in LJ43, HL and ZN21 cultivars. Dataset S2: alignment of OsbZIP52 and AtbZIP63 with CsbZIP6 by NCBI Blastp. Table S1: the amino acid sequences used to generate the phylogenetic tree. Table S2: primer sequences for quantitative RT-PCR. Table S3: 75 significant GO terms (P < 0·05) belonging to ‘biological process’ were mapped by DEGs between OE and WT plants under normal conditions. Table S4: 81 significant GO terms (P < 0·05) belonging to ‘biological process’ were mapped by DEGs between OE and WT plants under cold conditions. Table S5: expression of COR genes between OE and WT plants under normal and cold conditions, and their response to cold stress in WT plants. Fig. S1: quantitative RT-PCR validation. Fig. S2: analysis of electrolyte leakage in the six tea plant cultivars on November 6 and January 13.
Supplementary Material
ACKNOWLEDGEMENTS
This work was supported by the Natural Science Foundation of Zhejiang Province (LY14C160001), the National Natural Science Foundation of China (31500564), the Earmarked Fund for China Agriculture Research System (CARS-23), the Young Elite Scientist Sponsorship Program by CAST and the Chinese Academy of Agricultural Sciences through an Innovation Project for Agricultural Sciences and Technology (CAAS-ASTIP-2014-TRICAAS).
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