Abstract
In plants, sugar transporters play an important role in the allocation of sugars from cells in source organs to cells in sink organs. Hence, an understanding of the molecular basis and regulation of assimilate partitioning by sugar transporters is essential. Leaves are the main source of photosynthetic products. In jujube (Ziziphus jujuba Mill.), the mechanisms regulating initial sugar unloading in leaves are still unclear. In this study, an expression profiling analysis showed that ZjSWEET2.2, encoding a sugar transporter in the SWEET family, is highly expressed in leaves. Over-expression of ZjSWEET2.2 increased carbon fixation in photosynthetic organs. Our analyses showed that ZjSWEET2.2 encodes a plasma membrane-localized sugar transporter protein. Its expression levels were found to be suppressed under drought stress and by high concentrations of exogenous sugars, but increased by low concentrations of exogenous sugars. Finally, DNA sequence analyses revealed several cis-elements related to sugar signaling in the promoter of ZjSWEET2.2. Together, these results suggest that ZjSWEET2.2 functions to mediate photosynthesis by exporting sugars from photosynthetic cells in the leaves, and its gene expression is regulated by sugar signals.
Introduction
In higher plants, photosynthates produced at the photosynthetic “source” (mainly mesophyll cells) are essential for growth and development, and are major nutritional components of fruits (Zhu et al., 2010). Photosynthate allocation occurs via transport from the source organ to the heterotrophic “sink” organs (fruits, roots, seeds) (; ). Adequate photosynthate production in the leaves can substantially increase the number of flowers and fruit weight. Improvements in allocation efficiency can increase the proportion of total biomass allocated to harvestable organs (Zhu et al., 2010; ). Sugar translocation depends on active transport by transmembrane proteins or passive transport via the plasmodesmata. In higher plants, sugar transporters play crucial roles in mediating carbohydrate fluxes () and are linked with biomass gain. By now, sugar transporters found in plants mainly include three types: monosaccharide transporters (MST), sucrose transporters (SUT) and SWEET transporters (Sugars Will Eventually be Exported Transporters). Of these, MSTs and SUTs have typical structural characteristics of the major facilitator superfamily (MFS) with high hydrophobicity and generally include 12 transmembrane domains (), which is the most important membrane transporter family. SUTs are crucial for the sucrose long-distance transportation in phloem to sink organs as sucrose is the important form of photosynthetic products (; ). In the sink organs, some of the disaccharide can be degraded to monosaccharide and mediated by MSTs (), while in pea seeds, most carbohydrates transported into cotyledons cells in the form of sucrose by sucrose transporter PsSUT1 (Zhou et al., 2009). Besides, sucrose can be used as an important sugar signal to regulate plant growth and development ().
As a novel family of sugar transporters, the role of SWEET proteins was first identified in Arabidopsis thaliana (). A protein structure prediction analysis indicated that SWEET transporter protein belonged to the MtN3 family and have seven transmembrane domains (TMSs) with two duplicated units of three TMSs and a linker element (the fourth TMS) (; Xuan et al., 2013). SWEET proteins have sugar efflux and influx activity, and have diverse physiological functions (). Other studies sequenced and characterized SWEET family members in various plant species, such as tomato (Solanum lycopersicum), wheat, citrus, and pear (Pyrusbretschneideri) (Xu et al., 2013; ; ; ). The results of those studies provided some details of the roles of SWEET transporters in regulating sugar transport and accumulation. SWEET transporters show low affinity for hexose and sucrose during sugar efflux or import. In Nicotiana, Arabidopsis, and brassicas, SWEET9 facilitates sucrose efflux for nectar secretion (). SWEET15 mediates sugar export in the endosperm to promote embryo development (Wang et al., 2019b) or seed filling (). Other SWEET proteins function under different osmotic stress conditions or in pathogenic reactions (; ). Some SWEET proteins are involved in the mobilization of carbohydrates in leaves (), which may affect photosynthetic efficiency. In Arabidopsis, AtSWEET11 and 12 were shown to play crucial roles in sugar efflux from mesophyll cells to the apoplast (); and in tomato, SlSWEET1a was found to play roles in glucose efflux from mature to young leaves (). Nevertheless, the function of many SWEET sugar transporters, especially in perennial woody crops, remains unclear.
Jujube (Ziziphus jujuba Mill.), a member of the Rhamnaceae family, is an important dry fruit crop with a worldwide distribution (). It is strongly resistant to drought and salinity stress. With a cultivation area of more than 2 million ha, jujube has become the primary source of income for 20 million farmers. Our previous studies identified that sugar transporters play significant roles in the accumulation of sugars in jujube fruit (Zhang et al., 2018). However, little is known about the mechanism of sugar efflux by sugar transporters in leaves. In this study, we identified ZjWEET2.2 as another member of the SWEET family in Z. jujuba, and conducted a preliminary evaluation of its functions. The gene encoding ZjWEET2.2 was found to be highly expressed in photosynthetic organs, and the protein was found to localize to the plasma membrane. Over-expression of this gene increased carbon fixation. Our results indicate that the expression of ZjSWEET2.2 and the activity of its encoded protein are mediated by sugar signals. The results of this study provide new insights into the function and regulation of SWEET sugar transporters.
Materials and Methods
Plant Materials
The Chinese dry jujube cultivar “No. 4 Jinsi,” and fresh jujube “Zaozhuangcuizao” and “Dongzao,” were grown at the Jujube Experimental Station, Shandong Institute of Pomology, Taian, China. The fruits of “No. 4 Jinsi” were collected at different developmental stages [young fruit at 10 days after anthesis (DAA), enlarged fruit at 40 DAA, white mature fruit at 80 DAA, half-red fruit at 100 DAA, and fully red fruit at 110 DAA]. Leaf, root, and phloem (scraped from the stem using a blade) samples were also collected.
Jujube young trees were grown in an incubator under a 16-h light/8-h dark photoperiod, and watered every five days to keep water content at more than 60% of maximum field capacity. For drought stress treatments, water was withheld for 2 weeks when the leaves showed wilting phenotype; while the control group was keep watering every five days. The leaves were harvested from water deficit-treated trees and well watered controls for analyses. In the exogenous sugar application experiment, the treatment groups were sprayed with 3% or 10% (w/v) glucose or sucrose, and the control group was sprayed with the same amount of distilled water. Leaves were collected at 6 h after treatment for analyses. For each treatment, three biological replicates were analyzed. All samples were directly frozen in liquid nitrogen and stored at −80°C until analysis.
Construction of Phylogenetic Tree
Jujube genes putatively encoding sugar transporter proteins were obtained from the Junzao genome (accession number: LPXJ00000000) (). The BLASTP tool was used to retrieve loci encoding putative sugar transporters, using Arabidopsis sequences as queries with E-values ≤1e-5. To construct the phylogenetic tree, the sequences of transporters from jujube, Arabidopsis, and Solanum lycopersicum L. were aligned by ClustalW with MEGA5 (). The phylogenetic tree was constructed using the Neighbor-Joining method, and the phylogeny test was based on the bootstrap method with 1000 replications.
Vector Construction and Plant Transformation
The vector was constructed using the method described by . The coding sequence of ZjSWEET2.2 was inserted downstream of the CaMV35S promoter in the plant expression vector pVBG23000-GFP, which includes the gene encoding green fluorescent protein (GFP). For the subcellular localization analysis, the positive vector CaMV35S-ZjSWEET2.2-GFP was transiently expressed in tobacco leaves after infiltration with Agrobacteriumtumefaciens strain GV3101 containing the vector. The pRT101-AtPIP2A-red fluorescent protein (RFP) was used as a plasma membrane marker, and was co-transformed with CaMV35S-ZjSWEET2.2-GFP. The tobacco plants were incubated at 25°C for 48 to 72 h, and the fluorescence of GFP was observed under a high resolution laser confocal microscope (Zeiss, Jena, Germany).
For the transient overexpression analysis, jujube leaves were vacuum-infiltrated with Agrobacterium containing the vector along with 500 µl Tween 20. The CaMV35S-GFP construct was used as a control. The leaves were cultured on Murashige and Skoog (MS) medium for 48 to 72 h in an incubator under a 12-h dark/12-h light photoperiod. The presence and relative amount of the transgene in transgenic leaves were determined by qRT-PCR.
Analyses of mRNA Levels
Total RNA was extracted using a Plant RNA Extraction Kit (Foregene, Chengdu, China) following the manufacturer’s instructions. To analyze the transcript levels of ZjSWEET2.2 and genes related to carbon fixation [RBCS (encoding ribulose bisphosphate carboxylase/oxygenase), PGK (encoding phosphoglycerate kinase), RPI (encoding ribose-5-phosphate isomerase), and PRK (encoding phosphoribulokinase)], reverse-transcription quantitative real-time PCR (qRT-PCR) was performed using a SYBR Premix Ex Taq Kit (Vazyme, Nanjing, China) on a Bio-Rad IQ5 instrument (Bio-Rad, Hercules, CA, USA). The reaction volume was 20 µl. All qRT-PCRs were performed with three technical replicates and three biological replicates. The primers were designed from the coding sequences of jujube genes using Primer5 software and are listed in Supplemental Table 1. Primer specificity was determined based on melting curve analyses. Expression data were analyzed using the 2-ΔΔCT method (). The selected reference gene was UBQ (Zhang et al., 2015).
Measurement of Sugar Contents
The contents of sucrose, glucose, and fructose were measured by high performance liquid chromatography (HPLC) according to . All samples were extracted and analyzed in triplicate. For each sample, 1 g tissue was homogenized and measured. Three biological replicates were analyzed for each time point and variety.
Results
Sequence Analysis of ZjSWEET2.2
We identified 19 candidate ZjSWEET genes from the jujube genome. The phylogenetic tree was constructed using amino acid sequences of SWEET transporters from jujube, A. thaliana, and S. lycopersicum (Supplemental Table 2). The SWEET sugar transporters from the three species could be classified into four clades (Figure 1). Clade I includes the members of SWEET1, SWEET2, and SWEET3, subclades), clade II includes the members from SWEET4 to SWEET8, clade III includes the members from SWEET9 to SWEET 15, and clade IV includes SWEET16 and SWEET17. Consistent with the fact that a recent common whole genome duplication event has occurred in many species, there were duplicate copies of some SWEET genes in the genome. In our comparisons, ZjSWEET2.2 in clade I of the SWEET family showed the closest relationship with its paralog ZjSWEET2.1 and its ortholog AtSWEET2 from A. thaliana. Protein structure analyses of ZjSWEET2.2 revealed seven predicted TMDs in a protein comprising 266 amino acids (Supplemental Figure 1).
Figure 1
Subcellular Localization of ZjSWEET2.2
The coding sequence for ZjSWEET2.2 was fused to eGFP and transiently expressed in leaves of Nicotiana benthamiana to determine the subcellular localization of its encoded protein. The construct was co-expressed with the mRFP1-labeled plasma membrane marker. Confocal images showed that GFP fluorescence was localized to the plasma membrane, the cytoplasm and nucleus of the tobacco epidermal cells, and ZjSWEET2.2-GFP was co-located with the plasma membrane marker at the plasma membrane (Figure 2).
Figure 2

Subcellular localization of ZjSWEET2.2. 35S:GFP-ZjSWEET2.2 was transiently expressed in tobacco leaves and co-localized with transiently expressed plasma membrane marker RFP. Scale bars, 10 μm.
Tissue Expression Patterns of ZjSWEET2.2
Our previous RNA sequencing results showed that ZjSWEET2.2 transcript levels were highest in leaves among various tested jujube tissues (spires, leaves, flowers, fruit, and stems) (
Figure 3

Transcript levels of ZjSWEET2.2 in different tissues of jujube and phenotypic characteristics of fruits at different development stages. (A) Transcript levels of ZjSWEET2.2 in phloem, root, flowers, leaves, and fruit. (B) Transcript levels of ZjSWEET2.2 in peel and flesh of three different jujube varieties. (C) White mature fruit and (D) half-red fruit on jujube tree. (E) Four different development stages of jujube fruits (Y, young fruit; EN, enlargement stage; WH, white mature stage; HF, half-red stage). (F) Changes in relative transcript levels of ZjSWEET2.2 during fruit development. Three biological replicates were analyzed. Error bars represent SE. Asterisks indicate significant difference as determined by Student’s t-test (**P < 0.01; *P < 0.05).
Overexpression of ZjSWEET2.2 in Transgenic Lines
To explore the patterns of regulation of ZjSWEET2.2 in leaves, the CaMV 35S: ZjSWEET2a-GFP construct was transformed into jujube leaves for transient expression. We then determined the transcript levels of ZjSWEET2.2 and genes related to photosynthetic carbon assimilation by qRT-PCR. The transcript level of ZjSWEET2.2 in the ZjSWEET2.2-OE line was nearly 20 times higher than that in the GFP-expressing control. We determined the transcript levels of genes encoding RBCs, the key enzyme in carbon fixation in the leaf; RPIs, which function upstream of RBCs; and PGKs, which function downstream of this pathway (Figure 4). Two genes in the RBCs family were significantly up-regulated in the ZjSWEET2.2-OE line compared with the control. Among the RPIs family, two members were expressed weakly and two showed no differences in their transcript levels between the ZjSWEET2.2-OE line and the control. However, the LOC107422427 transcript levels in leaves were higher in ZjSWEET2.2-OE than in the control. One PRK gene was up-regulated in the ZjSWEET2.2-OE line. In the PGKs gene family, PGK1 (LOC107431911) transcript levels were not affected in the ZjSWEET2.2-OE line, but the other two PGKs were up-regulated. Together, these results suggested that overexpression of ZjSWEET2.2 increased carbon fixation to some extent via increased export of assimilation products from photosynthetic tissues.
Figure 4

Transcript levels of genes involved in carbon fixation in photosynthetic organ. RBCSs: ribulose bisphosphate carboxylases; PRKs, phosphoribulokinases, RPIs: ribose-5-phosphate isomerases, PGKs: phosphoglycerate kinases. Results are normalized against transcript level in control group, which was set to 1. Data are mean ± SD of three replicates. ** indicate significant difference (P < 0.01) as determined by Student's t-test.
Regulation of ZjSWEET2.2 by Sugars
Exogenous sugars at two concentrations were sprayed onto the leaves of jujube plants, and then the transcript levels of ZjSWEET2.2 were monitored by qRT-PCR (Figure 5A). After treatment with 3% (w/v) exogenous glucose, the transcript level of ZjSWEET2.2 was significantly up-regulated by approximately three-fold, compared with that in the control. In the plants treated with 3% (w/v) exogenous sucrose, the transcript level was also increased, but only by 50% compared with that in the control. When the concentration of exogenous sugars was increased to 10% (w/v), the transcript level of ZjSWEET2.2 decreased to lower than that in the control, and this difference was more significant in the plants treated with glucose than in those treated with sucrose. These results showed that the expression of ZjSWEET2.2 was induced by low concentrations of sugars, but suppressed by high concentrations of sugars, and was more responsive to glucose than to sucrose.
Figure 5

Transcript levels of ZjSWEET2.2 in leaves of plants treated with exogenous sugars (A), and correlation between transcript levels of ZjSWEET2.2 and monosaccharide sugar content (B). Three biological replicates were analyzed. Error bars represent SE. ** indicate significant difference (P < 0.01) as determined by Student’s t-test.
Next, we analyzed the correlation between the transcript levels of ZjSWEET2.2 and sugar contents in fruit during development. The contents of hexoses (fructose and glucose) increased steadily during fruit development, while sucrose began to accumulate rapidly from the white ripening stage (2.9 g/100 g fruit fresh weight), ultimately reaching 7.8 g/100 g (Figure 5B). A correlation analysis showed that the transcript level of ZjSWEET2.2 was significantly negatively correlated with hexose content (r = −0.985, P < 0.015).
To explore the regulation of ZjSWEET2.2 expression, the 2-kb promoter region upstream (5′) of the start codon of ZjSWEET2.2 was sequenced and analyzed (Supplemental Figure 2). Tools at the PlantCare server were used to identify cis-elements in this sequence, and additional cis-elements that are known to be sugar regulation regions were also considered (
Table 1
| Cis-Elements | Sequence | Response | Copies | References |
|---|---|---|---|---|
| W-box | TTGACC | Sugar induce | 2 | |
| W-box | TGACT | Sugar induce | 1 | |
| SUCROSE BOX 3 | AAATCA.AA | Sugar induce | 4 | |
| TATCCAOSAMY | TATCCA | Sugar suppress | 2 | |
| G box | CACGTG | Sugar suppress | 1 | |
| CATCC | CATCC | Sugar suppress | 2 | |
| I-BOX core | GATAA | Sugar suppress | 3 | |
| AMYBOX1 | TAACAAA | Sugar suppress | 1 | |
| EVENINGAT core | ATATCT | Sugar suppress | 2 | |
| GATTA | GATTA | Sugar suppress | 1 |
Known cis-acting elements involved in sugar repression/induction in 2,000-bp fragment of ZjSWEET2.2 promoter.
Suppression of ZjSWEET2.2 Expression Under Drought Stress
We determined the transcript levels of ZjSWEET2.2 in leaves of jujube plants under drought stress. The results showed that the transcript level decreased to approximately one-quarter its pre-stress level under drought stress, suggesting that SWEET2 plays important roles in regulating cell osmotic potential by reversing sugar efflux. Consistent with this, the contents of fructose and glucose in leaves of jujube increased under drought stress (Supplemental Figure 3).
Discussion
ZjSWEET2.2 Plays Roles in Mediating Sugar Export From Photosynthetic Organs
The SWEET sugar transporters from the three species could be classified into four clades, previously uncovered in Arabidopsis (
Previous studies have shown that the over-accumulation of carbohydrates in leaves reduces the photosynthetic rate (
Sugar Signals Mediate Expression of ZjSWEET2.2
Accumulation of free sugars can lead to down-regulation of photosynthesis through sugar signaling networks (
Model of Regulation Mechanism of ZjSWEET2.2
On the basis of the expression patterns of ZjSWEET2.2 in different tissues, we propose a hypothetical model for its regulation mechanism. As shown in Figure 6, our results suggest that ZjSWEET2.2 plays a critical role in exporting sugars from leaves. Low sugar content may promote ZjSWEET2.2 expression. Over-expression of ZjSWEET2.2 increases carbon fixation into photosynthates by decreasing the carbohydrate content in mesophyll cells. When the sugar content increases in the cytosol, such as under drought stress or in ripening fruit, the expression of sugar-responsive transcription factors increases. These bind to sugar-suppressed elements in the promoter region of ZjSWEET2.2 to repress its expression. Besides, the over-accumulation of sugar reduces the photosynthetic rate (
Figure 6

Schematic model of regulation of ZjSWEET2.2 expression by sugar signals to mediate sugar transport. ZjSWEET2.2 exports photosynthates from leaves under normal conditions. Over-expression of ZjSWEET2.2 facilitates carbon fixation. Low sugar signals bind to inducing cis-elements in promoter of ZjSWEET2.2 to activate its transcription. High sugar signals decreases the ZjSWEET2.2 expression and reduces the photosynthetic rate.
Funding
This work was supported by the Chinese National Natural Science Foundation (Grant no. 31800573) and The National Key Research and Development Program of China (2018YFD1000607).
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
Author contributions
YG was responsible for the part of over-expression of SWEET2a and incubated jujube seedlings. MW measured the sugar content of jujube. CZ was accountable for design of the work, analysis, drafting the work.
Acknowledgments
We thank Jennifer Smith, PhD, from Liwen Bianji, Edanz Group China (www.liwenbianji.cn/ac), for editing the English text of a draft of this manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2020.01081/full#supplementary-material
Abbreviations
SWEET2a, sugars will eventually be exported transporter 2a; RBCS, ribulose bisphosphate carboxylase/oxygenase; PGK, phosphoglycerate kinase; RPI, ribose-5-phosphate isomerase; PRK, phosphoribulokinase.
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Summary
Keywords
Jujube (Ziziphus jujuba Mill.), SWEET, photosynthesis, sugar signal, sugar transporter
Citation
Geng Y, Wu M and Zhang C (2020) Sugar Transporter ZjSWEET2.2 Mediates Sugar Loading in Leaves of Ziziphus jujuba Mill. Front. Plant Sci. 11:1081. doi: 10.3389/fpls.2020.01081
Received
14 May 2020
Accepted
30 June 2020
Published
24 July 2020
Volume
11 - 2020
Edited by
Kendal Hirschi, Baylor College of Medicine, United States
Reviewed by
Toshiro Shigaki, The University of Tokyo, Japan; Joan Doidy, University of Poitiers, France
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© 2020 Geng, Wu and Zhang.
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*Correspondence: Chunmei Zhang, Zhangcm2017@sdau.edu.cn
This article was submitted to Plant Traffic and Transport, a section of the journal Frontiers in Plant Science
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