Skip to main content

Functional characterization and analysis of transcriptional regulation of sugar transporter SWEET13c in sugarcane Saccharum spontaneum



Sugarcane is an important crop for sugar production worldwide. The Sugars Will Eventually be Exported Transporters (SWEETs) are a group of sugar transporters recently identified in sugarcane. In Saccharum spontaneum, SsSWEET13c played a role in the sucrose transportation from the source to the sink tissues, which was found to be mainly active in the mature leaf. However, the function and regulation of SWEETs in sugarcane remain elusive despite extensive studies performed on sugar metabolism.


In this study, we showed that SsSWEET13c is a member of SWEET gene family in S. spontaneum, constituting highest circadian rhythm-dependent expression. It is a functional gene that facilitates plant root elongation and increase fresh weight of Arabidopsis thaliana, when overexpressed. Furthermore, yeast one-hybrid assays indicate that 20 potential transcription factors (TFs) could bind to the SsSWEET13c promoter in S. spontaneum. We combined transcriptome data from developmental gradient leaf with distinct times during circadian cycles and stems/leaves at different growth stages. We have uncovered that 14 out of 20 TFs exhibited positive/negative gene expression patterns relative to SsSWEET13c. In the source tissues, SsSWEET13c was mainly positively regulated by SsbHLH34, SsTFIIIA-a, SsMYR2, SsRAP2.4 and SsbHLH035, while negatively regulated by SsABS5, SsTFIIIA-b and SsERF4. During the circadian rhythm, it was noticed that SsSWEET13c was more active in the morning than in the afternoon. It was likely due to the high level of sugar accumulation at night, which was negatively regulated by SsbZIP44, and positively regulated by SsbHLH34. Furthermore, in the sink tissues, SsSWEET13c was also active for sugar accumulation, which was positively regulated by SsbZIP44, SsTFIIIA-b, SsbHLH34 and SsTFIIIA-a, and negatively regulated by SsERF4, SsHB36, SsDEL1 and SsABS5. Our results were further supported by one-to-one yeast hybridization assay which verified that 12 potential TFs could bind to the promoter of SsSWEET13c.


A module of the regulatory network was proposed for the SsSWEET13c in the developmental gradient of leaf and circadian rhythm in S. spontaneum. These results provide a novel understanding of the function and regulation of SWEET13c during the sugar transport and biomass production in S. spontaneum.

Peer Review reports


High crop yields are beneficial for food production, yet the underlying mechanism that determine crop yields is still not fully understood. Through absorbing light energy, plants leaf can fix carbon to form photosynthetic products (carbohydrates) [1]. Sugars, is one of the primary carbohydrate form [2]. In plants, 35% ~ 40% of sugars are consumed to provide energy for various growth activities including cell elongation, division, differentiation, nutrient absorption, and plant development. Majority of sugars function as metabolic intermediates in cells (monosaccharides, amino acids, organic acids, etc.) and the remaining sugars are stored in the vacuole as the original formation, fixed to a mobile polymer (plasmid starch), or added to structural biomass (cellulose, hemicellulose and lignin) [3].

Sucrose is synthesized in mesophyll cells and diffuses from cell to cell via plasmodesmata or a long-distance transportation. Hereafter sucrose could be transferred from the phloem parenchyma cells to the apoplast and loaded into the phloem sieve element/companion cells (SEs/CCs) via sucrose transporters [4,5,6,7,8]. Sugars Will Eventually be Exported Transporter (SWEETs)/sucrose transporters (SUTs) are a series of crucial transporters that play essential roles in sucrose transport pathways [9, 10]. SWEET proteins with seven transmembrane helices are identified as a novel group of sugar transporters that facilitate the transport of sugars like glucose, fructose and/or sucrose bi-directionally. SWEETs participate in numerous metabolic and physiological processes in plants, including phloem loading, nectar secretion, pollen nutrition, bacterial infection, senescence, seed filling and copper transport [11]. In Arabidopsis thaliana, researchers have identified 17 members of SWEET gene family [12]. AtSWEET9 expresses at the nectary and possesses a negative correlation with the starch content in plants, which is required for nectar secretion [13, 14]. AtSWEET13 and AtSWEET14 mediate cellular gibberellin uptake to regulate anther dehiscence, as well as seeds and seedling phenotypes [15]. AtSWEET11 and AtSWEET12, presenting on the plasma membrane of phloem parenchyma cells, mediate phloem loading of sucrose [16]. As the closest homolog gene of AtSWEET11 and AtSWEET12, AtSWEET13 has higher expression in Atsweet11;12 double mutant plants. Moreover, Atsweet11;12 double mutants have lower levels of starch accumulation in leaves and radioactive tracer efflux from the petioles, mirroring SWEET11 and SWEET12 cooperatively transport sucrose out of leaves [16]. In rice (Oryza sativa L.), the SWEET gene family consists of 21 members [17]. OsSWEET11 can not only transport sucrose but contributes to grain filling. OsSWEET13 functions as the targeted susceptible gene for PthXo2 of X. oryzae pv. oryzae in the bacterial blight disease. Additionally, OsSWEET11, 12 and 14 are verified as the targets of Xoo effectors [18, 19]. Osdof11 (DNA binding with one finger) mutation exerts a stunted phenotype due to reduced sucrose transported by low expression of both SUT and SWEET genes [20]. In maize (Zea mays L.), ZmSWEET13s paralog (a, b, c) triple knock-out mutants exhibit severely reduced photosynthesis abilities and dysregulated glucose metabolism [21].

Sugarcane (Saccharum spp., Poaceae), a perennial and tropical/subtropical crop, contributes to approximately 80% sugar and 40% of global ethanol production for humans [22]. As a typical C4 crop, sugarcane displays high efficiency on the utilization of water, nitrogen, and light compared to C3 crops, leading to greater yields when confronted with intense light, low carbon dioxide concentration and drought conditions. The sugarcane’s hyperploid and large genome have slowed down the research within sugar-related fields.

Recently, we identified 22 members of SWEET gene family in S. spontaneum [23], among which SWEET13s (a, b, c) were found to be duplicated genes. Noticeably, SWEET13c is increased by 1001-fold expression from the leaf base to tip, which was consistent with photosynthesis intensity (from weak to strong) through the blade. During the diurnal cycle, SWEET13c had maximal and minimum expression at 6:00 and 18:00, respectively. Additionally, 2.15-fold change of SWEET13c transcript abundance was detected,,suggesting that it is involved in diurnal rhythms and functions as a strong candidate gene which is supporting sucrose transport from source to sink in S. spontaneum [23]. Here, we focus on the SsSWEET13c to explore its ability to transport sugars and facilitate plant growth. We also aimed to identify the potential transcription factors (TFs) binding to the upstream of SsSWEET13c. Furthermore, we assessed the expression pattern of all identified TFs. These findings could help us further reveal the physiological effects and regulatory mechanisms of SWEET13c in S. spontaneum.


SsSWEET13c overexpression reduces contents of sugars in leaves

Given that the transformation system of sugarcane is still unsolved, to examine whether SsSWEET13c can transport sugars, we conducted experiments in a transgenic A. thaliana over-expressing SsSWEET13c driven by the constitutive Cauliflower mosaic virus (CaMV) 35S promoter. Transgenic lines were screened to the homozygous T3 generation. Results of RT-qPCR showed that six lines of 35Spro: SsSWEET13c presented higher expression levels relative to the A. thaliana Columbia ecotype (wild-type, WT) (Additional file 1). Considering the variation of overexpression folds, the average expressional value of these six 35Spro: SsSWEET13c lines was utilized through consecutive measures (Additional file 1).

The leaves of WT and overexpression plants were collected to allow the determination of the contents of glucose, sucrose, fructose and total soluble sugar after 21 days of growth. The results suggested that SsSWEET13c overexpression plants possessed a significant alteration in the sugar-transporting ability relative to WT. For glucose content, the WT plants contained 76.3 mg g−1, while the SsSWEET13c overexpression plants contained 19.3 mg g−1, which was significantly reduced (p < 0.0001) (Fig. 1a). Compared with 18.0 mg g−1 of the WT plants, the average sucrose level of SsSWEET13c overexpression plants was 13.1 mg g−1 (Fig. 1a). Regarding the fructose content, the average level of 5.2 mg g−1 in SsSWEET13c overexpression plants was lower than that of 7.2 mg g−1 in the WT (Fig. 1a). Regarding the total soluble sugar contents, WT plants contained 510.2 mg g−1, whereas a significant reduction to 348.1 mg g−1 was observed in SsSWEET13c overexpression plants (p < 0.05) (Fig. 1a). These results indicated that SsSWEET13c could assist in transporting the produced sugar,lead to reduction of sugar concentration.

Fig. 1
figure 1

The measurement of sugar contents, root length and fresh weight for wild-type and 35S:SsSWEET13c of Arabidopsis plants. a sugar contents b root length (7-days old). c root phenotype (7-days old). d fresh weight (15-days old). e plant phenotype (15-days old). *, p < 0.05. **, p < 0.01. ***, p < 0.001. ****, p < 0.0001

SsSWEET13c overexpression enhances the root length and fresh weight

For analysis of sugar content, we took eight seeds from WT and six over-expression SsSWEET13c lines and observed for 7 d for any changes in root elongation. The results suggested that the average root length of SsSWEET13c overexpression lines was 3.41 cm, with the longest root being 5.54 cm which is significantly longer than the 2.22 cm of the WT (Fig. 1b, c and Additional file 2). Furthermore, we transferred the A. thaliana plants into nutrient soil to cultivate for additional 7 d (at 23 °C and 16 h/8 h light/dark), We measured average fresh weight of these WT and SsSWEET13c overexpression lines including the whole plant weight, root weight and shoot weight. In the Arabidopsis WT, the average fresh weight of the whole plants, shoots and roots were 9.53 mg, 7.73 mg and 1.90 mg, respectively (Fig. 1d and Additional file 2). However, in SsSWEET13c overexpression lines, the average fresh weights were 58.0 mg (whole plants), 54.7 mg (shoots) and 3.2 mg (roots) (Fig. 1d, e). These results demonstrated that SsSWEET13c is responsible for increase increased in root length and fresh weight (Fig. 1b-e).

Next, we correlated the differential accumulation of sugar (glucose, sucrose, fructose and total soluble sugar) in the leaves with biomass accumulation (length of root and weight of root, shoot and whole plant). We found out that, in comparison with WT, sugar content in leaves of overexpression SsSWEET13c plants decreased by more than 1.38-fold change, while biomass accumulation increased by more than 1.65-fold change (Table 1). This indicated that sugar content in leaves were negativey correlated with biomass accumulation.

Table 1 The biomass and the sugar in the leaves

Yeast one-hybrid identifies 20 TFs regulating SWEET13c

Although the ability of SsSWEET13c to transport sugars and enhanced plant growth had been preliminarily determined. Further, we interested in the TFs which are regulating SsSWEET13c and their gradual increase in expression level from the leaf base to tip, and a decrease in expression during the day followed by rising expression level at night. The prediction of TF binding sites was initially performed by the PlantCare database. In total, we predicted 27 potential TF binding sites in a 2 kb region upstream from the promotor of SsSWEET13c (Table 2). Among them, 15 TFs binding sites, including three Box 4, two chs-CMA1a, four G-Box, TCCC-motif, GT1-motif, MRE, TCT-motif, ATC-motif, and 3-AF1, are predicted to be responsive to light. Three binding sites, CGTCA-motif, TGACG-motif and ABRE, were predicted as hormone-responsiveness elements, and two MBS binding sites were predicted as drought-inducibility elements (Table 2).

Table 2 Prediction of cis elements for the 2000 bp promoter region of SsSWEET13c

To further determine TFs binding role at the promoter of SsSWEET13c, a yeast one-hybrid (Y1H) experiment was performed. To begin, the promoter sequence was divided into five short fragments, named F0 (-1999 to -1721), F1 (-1580 to -1250), F2 (-1218 to -707), F3 (-660 to -310) and F4 (-309 to -1) (Fig. 2, Additional file 3). Except for F2, the remaining four segments containing the core motifs in promoters of the target gene were cloned upstream of the Aureobasidin (AbA) resistance gene (Additional file 4) and transformed intoY1H Gold strains as a bait. As a result, the self-activation of three bait fragments was successfully inhibited. The inhibition concentration was 200 ng/µL for F0, F1 and F3. Next, yeast competent cells with the promoter fragments of SsSWEET13c were transformed with S. spontaneum cDNA library plasmids, as well as the positive (pAbAi-53) and negative controls, which were cultivated on the basic SD medium lacking the Leu with a corresponding AbA level. Yeast cells grown were screened for a second time under the same cultivated conditions. Finally, using the universal primers of the vector pGADT7 for DNA sequence, we obtained sequencing results of segments interacting with promoters of SsSWEET13c and 97 gene annotation results based on the BLAST search ( Of those, 20 genes were summarized as potential TFs regulating SsSWEET13c via aligning using PlantRegMap/PlantTFDB v5.0 [24] (Additional file 5 and Additional file 6), including SsMYR2, SsMADS34, SsWRKY18, SsHB36, SsABS5, SsbZIP44, SsHHO2, SsMYBS1, SsNID1, SsRAP2.4, SsbHLH035, SsDEL1, SsbHLH34, SsERF4, SsILR3, SsKUA1, SsTFIIIA-a, SsTFIIIA-b, SsWRKY123 and SsbZIP23.

Fig. 2
figure 2

Analysis of the transcription factors (TFs) binding to the SsSWEET13c upstream region. a Schematic representation of the SsSWEET13c upstream region divided into five fragments (F0 to F4) that were used as baits in the yeast one-hybrid (Y1H) screening, and the TFs identified. Positions of the SsSWEET13c start codon (ATG) are indicated. b The One-to-One Yeast hybrid results for nine TFs binding to promoter of SsSWEET13c. 100: original yeast solution, 10–1: diluted by 10 times, 10–2: diluted by 100 times, 10–3: diluted by 1000 times

Expressional patterns of the TFs regulating SsSWEET13c

To test the expression patterns of TFs summarized from the Y1H experiment on SsSWEET13c, we conducted RNA-seq analyses in S. spontaneum at three RNA-seq datasets: 1) different developmental stages, 2) leaf developmental gradient and 3) diurnal cycles (Additional file 7).

Expression pattern of TFs at different developmental stages

To explore the regulation of TFs on SsSWEET13c at different developmental stages, we performed RNA-seq at the seedling and mature stages, including the seedling leaf, seedling stem, mature leaf, and mature stems (from top to bottom: stem 3, stem 6 and stem 9) (Fig. 3). SsSWEET13c displayed 3.6-fold enhanced expression in the seedling leaf compared with that in the lowest tissue of mature leaf,. Expressional levels in the stem 3, 6 and 9 gradually increased by 20.81-fold change expression, which implies SsSWEET13c could be associated with leaf development and secondary cell wall cellulose synthesis. Among these TFs, SsHB36 was mainly expressed in the leaves which was 3.92-fold higher than that in the stems, SsERF4 was mainly expressed in stem 3 of mature stages which is 3.84-fold higher than its expression in the leaves and 3.46-fold higher than that in the stem 9. SsbZIP44 was mainly expressed in the stem. and it increased 3.12-fold and 4.90-fold expression in seedling stem and mature stem compared with that in seedling leaves and mature leaves individually (Fig. 3). SsRAP2.4, SsbHLH34, SsILR3 and SsbZIP23 exhibited a high expression level in both seedling and mature leaves.

Fig. 3
figure 3

The expression profile for potential transcription factors (TFs) regulating SsSWEET13c based on Transcript Per Million (TPM) in leaf and stem at seedling stage and mature stage in Saccharum spontaneum

Expression pattern of TFs at leaf developmental gradient

To investigate the regulation of TFs on SsSWEET13c expressions in the leaves of source tissues, the transcriptome analyses and expression profiles were performed during the leaf developmental gradient (Fig. 4a). Corresponding to the maize leaf developmental gradient [25], we divided the second leaf at 11-day old with 15 cm length of S. spontaneum into 15 identical segments (each segment of 1 cm). Simultaneously, the S. spontaneum leaf was parted into four zones, namely a basal zone (base, the sink tissue), a transitional zone (6 cm, the sink-source transition), a maturing zone (10 cm), and a mature zone (tip, active C4 photosynthesis). Four out of 20 TFs, including SsABS5, SsERF4, SsTFIIIA-b and SsbZIP23 (Pearson Correlation, PC ≥|0.5|, p < 0.05) displayed negative expression patterns relative to those in SsSWEET13c across the leaf developmental gradient, and the gene expressional levels gradually decreased from the leaf base with low photosynthesis to the leaf tip with active photosynthesis (Fig. 4b, Additional file 8). Nine out of 26 TFs, including SsMYR2, SsWRKY18, SsNID1, SsRAP2.4, SsbHLH035, SsbHLH34, SsILR3, SsKUA1, SsTFIIIA-a and SsWRKY123 (PC ≥|0.5|, p < 0.05), displayed positive expression patterns relative to those in SsSWEET13c and the gene expression levels gradually increased from the foliar base to the tip (Fig. 4c). Expression patterns of SsMYR2, SsHB36, SsbZIP44, SsDEL1, SsMYBS1, SsNID1, SsRAP2.4, SsbHLH34 and SsKUA1 were verified by reverse transcription quantitative PCR (RT-qPCR) in three leaf segments from leaf gradients (Additional file 9).

Fig. 4
figure 4

The expression profile and patterns for potential transcription factors (TFs) regulating SsSWEET13c based on TPM across leaf developmental gradients in Saccharum spontaneum. a expression profile b transcription factors (TFs) with negative expression patterns relative to those in SsSWEET13c c TFs with positive expression patterns relative to those in SsSWEET13c

Expression pattern of TFs at diurnal cycles

To further explore the regulatory patterns of TFs on SsSWEET13c during diurnal cycles, we conducted RNA-seq analyses in leaf samples every 2-h during the first 24-h and every 4-h during the second 24-h as an addition in S. spontaneum (Fig. 5a). Six out of 20 TFs, SsMADS34, SsbHLH34, SsILR3, SsKUA1, SsWRKY123 and SsbZIP23 (PC ≥|0.5|, p < 0.05), displayed positive expression patterns relative to those in SsSWEET13c. Their expressions gradually increased from 6:00 to 18:00 followed by a decrease from 18:00 to 04:00 h. (Fig. 5b); Two out of 20 TFs, including SsbZIP44 and SsTFIIIA-b (PC ≥|0.5|, p < 0.05), displayed similar expression patterns to those in SsSWEET13c. The expression of these genes gradually declined from 06:00 to 18:00 h followed by an increase from 18:00 to 4:00 h. (Fig. 5c).

Fig. 5
figure 5

The expression profile and patterns for potential transcription factors (TFs) regulating SsSWEET13c based on TPM at different time points in Saccharum spontaneum. a expression profile b TFs with negative expression pattern relative to those in SsSWEET13c expression c TFs with positive expression pattern relative to those in SsSWEET13c expression

One-to-one yeast hybridization verification of 12 potential TFs binding to the promoter of SsSWEET13c

To verify the most significant TFs determined by Y1H and transcriptome analysis, constructs containing the TFs fragments were extracted from the yeast strains screened by the Y1H secondary library and proliferated via e.coli competent propagation. Then,constructs were transformed into yeast competent cells with pBait-AbAi bait vector containing the corresponding promoter fragments and cultivated them for 2 ~ 3d. The yeast solution was serially diluted (10 times, 100 times and 1,000 times) for spotting, and p53-AbAi was used as a positive control. One-to-one verification results of Y1H successfully confirmed 12 TFs, named SsDEL1, SsTFIIIA-b, SsHHO2, SsbHLH035, SsHB36, SsMYR2, SsbZIP44, SsABS5, SsbHLH34, SsRAP2.4, SsERF4 and SsTFIIIA-a. In addition, the SsWEET13c promoter was assessed for TF binding sites (TFBS) in F0, F1 and F3 to which TFs might bind (Fig. 2a). We have found 12 TFs with their predicted TFBS in the corresponding fragment, indicating that these 12 TFs could bind to the promoter and regulate the expression of SsSWEET13c (Fig. 2b).


Sugarcane possesses complex genetic backgrounds due to its high polyploidy level. This high polyploidy is problematic due to unavailability of transgenic seedlings with characterized phenotypes. Therefore, in this study, we over-expressed SsSWEET13c in the model plant A. thaliana to identify the sugar transportability of SsSWEET13c.

In S. spontaneum, SsSWEET13c dramatically increased from the leaf maturing to tip zones (Fig. 4b). A recent study has found that S. spontaneum SsSWEET13c homolog ZmSWEET13s played primary roles in sucrose transport in maize [21]and as a possible key player had been attributed to C4 photosynthesis [26]. Noticeably, ZmSWEET13s showed the highest expression in leaf tips [21]. We thus deduced that SWEET13c was mainly involved in photosynthesis for sugar transport. Sugars are produced in the leaves, and which are then transported to other organs and act as signals that play crucial roles in plant growth and development [27]. Relative to wild type, sugar content in leaves of overexpressed SsSWEET13c A. thaliana discernibly decreased, while the root length/weight, shoot weight and the fresh weight increased significantly (Fig. 1). This may have been due to the enhanced sugar efflux from the leaf driven by SsSWEET13c, and transported sugar to the root and shoot [16]. Our results indicated that SsSWEET13c increased the photosynthesis ability for the growth and development. There were similar conclusions in previous studies, where overexpression pear PbSWEET4 caused sugar reduction and early senescence in leaves [28]. Moreover, overexpression of A. thaliana AtSWEET16 exhibited increased growth efficiency [29]. Overexpression Grapevine VvSWEET4 was consistent with SsSWEET13c in A. thaliana, displaying enhanced root growth but distinct from those observed in SsSWEET13c in A. thaliana, e.g., higher glucose and fructose contents and higher radiolabeled glucose passive uptake in Grapevine [30].

Some crop yield depends on the efficient allocation of sucrose from leaves to seeds [21]. But the information on plant SWEET proteins acting as sugar transporters in seed development is limited. Seed of sweet mutants in rice has been shown to accumulated more sucrose, glucose or fructose but less starch [31]. This is in the agreement of our findings where we found that the overexpression of SsSWEET13c resulted in reduced sugar content. It was observed that SsSWEET13c in SWEETs clade III [23], while AtSWEET13 and AtSWEET14 were in clade III. Noticeably, sweet13;14 double mutants increased seedling and seed size [15], which was distinct from those observed in the triple zmsweet13 knock out mutants in maize. Moreover, OsSWEET11 and OsSWEET15 in clade III are expressed preferentially in the caryopsis and played a key role in seed filling with sucrose efflux functions in rice [18, 32]. Similarly, OsSWEET11 is a sugar transporter with a key role in seed development [31]. Their knockout mutants plant of OsSWEET11 showed severely shrunken mature caryopses [18, 32, 33]. SWEET in the same clade may perform divergent functions in monocots and dicots. We hypothesized that overexpression of SsSWEET13c in A. thaliana might involve in increased seed size by sugar efflux and starch production. Thus, SsSWEET13c might be one of the important candidates for the high biomass of S. spontaneum.

TFs can bind to promoter regions of the target gene at conserved sites, in turn regulating different physiological activities in plants. Cis-element prediction revealed that 15 light-responsive sites existed in the upstream 2 kb promoter of SsSWEET13c (Table 2). The prediction could be supported by the evidence of transcriptome dynamics and the expression patterns of TFs for the SsSWEET13c. As the expression of SsSWEET13c increased from the leaf base (fewer lights) to the tip (more lights), the conjecture is that the leaf segments with sufficient light create abundant glycogen through photosynthesis. Thus, a higher level of sugar transporter SsSWEET13c is essential for assisting the sugar transfer in S. spontaneum leaves. During circadian rhythm, the expression level of SsSWEET13c shows a gradual decrease and increase, This led us to speculate that SsSWEET13c will transport the carbohydrates, produced at the day-time, to the other tissues and organs at night to provide the necessary glycogen for the growth and respiration in S. spontaneum. In addition, 20 TFs were identified as potential regulators for the SsSWEET13c based on the Y1H, and at least eight of them are in response to circadian rhythm.

The verification of the Y1H self-activation experiment provided the optimal AbA concentration for the two screenings of the subsequent Y1H experiments and avoid false positives in the present experiment (Fig. 2b), Additionally 20 TFs were verified to be regulators for SsSWEET13c. Based on the expression patterns in the leaf segments (Fig. 4), four TFs show a negative regulation pattern, whereas ten TFs show a positive regulation pattern for SsSWEET13c expression. The negative TFs for the SsSWEET13c have a much lower expression level than the positive TFs (Fig. 4). Therefore, we suggested that the positive TFs are the main regulators regulating SsSWEET13c.

Based on a series of transcriptome analyses for potential TFs binding to the promoter of SsSWEET13c, 12 TFs (SsABS5, SsbHLH035, SsbHLH34, SsbZIP44, SsDEL1, SsERF4, SsHB36, SsHHO2, SsMYR2, SsRAP2.4, SsTFIIIA-a and SsTFIIIA-b) were further identified by one-to-one Y1H. The SsbHLH035 is the closest ortholog to the AT5G57150 in A. thaliana. The AT5G57150 is expressed in roots and shoot, and showed strong differences in expression levels between the shoot and root (root/shoot > 20-fold) [34]. In this study, overexpression of SsSWEET13c increased the root length in A. thaliana. In S. spontaneum, the expression pattern of SsbHLH035 along with the leaf gradient was similar to that of SsSWEET13c (PC = 0.89, p < 0.0001)(Fig. 3). Therefore, the regulation of SsbHLH035 for SsSWEET13c may cause an increase in the root length. But further experiments are necessary for verification, such as detecting the expression of SsbHLH035 in the roots, and further confirming the effect of SsbHLH035 on SsSWEET13c for growth and development.

In S. spontaneum, the expression level of SsbZIP44 peaked at 16:00 h, and the diurnal expression pattern was negative to that of SsSWEET13c (PC = -0.61, p = 0.0059). The close homologous gene of SsbZIP44 is AtbZIP44 in A. thaliana. AtbZIP44 belonged to the S1 subgroup, which is translationally repressed by sucrose signaling [35]. Therefore, we assumed that SsbZIP44 in S. spontaneum responded to sucrose signals and displayed negative regulation patterns to SsSWEET13c.

In S. spontaneum, the expression level of SsRAP2.4 gradually increased from the leaf base to the tip and maximum at 8:00 h then decline at 16:00 h, It was found that expression level in the leaves being 1.62–3.70-fold higher than that in the stems (Figs. 3, 4, and 5). SsRAP2.4 is a close homolog to RAP2.4 in A. thaliana, which belongs to the DREB (dehydration-responsive element-binding proteins) subfamily of AP2/ERF proteins [36]. RAP2.4 is involved in senescence control, as well as ethylene and cytokinin-related developmental processes [37]. Overexpression of RAP2.4 results in root hair formation, hypocotyl and root elongation [37]. SsSWEET13c may also play a function associated with cytokinesis as the overexpression of the SsSWEET13c in plant increase the root length and the fresh weight. Therefore, SsRAP2.4 was assumed to play a role in promoting cytokinesis by regulating SsSWEET13c in the S. spontaneum in different tissues.

SsHB36 TF is the closest ortholog of A. thaliana ATHB16, belonging to the HD-ZIP TF family. It is reported that ATHB16 mRNA was detected in all organs examined and acted as a growth regulator. However, reduced levels of ATHB16 expression in transgenic Arabidopsis plants caused an increase in leaf cell expansion [38]. In S. spontaneum, SsHB36 was highly expressed in the leaf base which was 2.40-fold higher than its expression in the leaf tip, and the expression level in the stem 3 was 3.48-fold higher than that in the stem 9. Leaf base and stem 3 are active parts for the growth and development in S. spontaneum (Figs. 3– 4). Therefore, SsHB36 might be able to participate in shoot growth by regulating SsSWEET13c, and providing the necessary energy (sucrose) for cell elongation.

Overall, with regards to the function for SsSWEET13c and its potential TFs, based on the gene expression profiles we proposed a regulatory network for the SsSWEET13c (Fig. 6). In S. spontaneum, SsSWEET13c played a role in the sucrose transportation from the source to the sink tissues and was mainly active in the mature leaf. In the source tissues, SsSWEET13c was mainly positively regulated by SsbHLH34, SsTFIIIA-a, SsMYR2, SsRAP2.4 and SsbHLH035, while negatively regulated by SsABS5, SsTFIIIA-b and SsERF4. During the circadian rhythm, SsSWEET13c was more active in the sunset which was likely due to the high level of sugar accumulation at night. While, SsSWEET13c was negatively regulated by SsbZIP44, and positively regulated by SsbHLH34. In the sink tissues, SsSWEET13c was also active for sugar accumulation, which was positively regulated by SsbZIP44, SsTFIIIA-b, SsbHLH34 and SsTFIIIA-a, and negatively regulated by SsERF4, SsHB36, SsDEL1 and SsABS5. Nevertheless, this speculation still needs to be verified by tissue-specific expression and localization of these genes. Furthermore, interactions between the TFs and SsSWEET13c promoter could be further verified by other approaches as well such as electrophoretic mobility shift assay (EMSA).

Fig. 6
figure 6

The proposed model of expression and regulation of transcription factors (TFs) binding to the promoter of SsSWEET13c in developmental leaves, circadian rhythm, and different stems of Saccharum spontaneum


In conclusion, our study demonstrated that excessive SsSWEET13c will decrease sugar contents in leaves and boost the root length and the fresh weight at the same time in plants. Additionally, 20 TFs with the ability to bind to the SsSWEET13c promoter were identified through Y1H. Furthermore, our transcriptome analyses of TFs on developmental gradient leaf, distinct times during circadian cycles and stems/leaves at different growth stages generate potential expression patterns and regulatory network between these TFs and SsSWEET13c. Together, these results help us to explain the underlying processes of SsSWEET13c and its impact on breeding and the generation of high-quality sugar and biomass.

Materials and methods

Plant material and treatment

The founding Saccharum species, S. spontaneum (SES 208, 2n = 8x = 64, originated in the USA) were utilized in this study. The plant material was identified by Irvine JE [39]. The plants were cultivated in the greenhouse (14 h light 30 °C/10 h darkness 22 °C, 60% relative humidity), at the Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University (FAFU, Fuzhou, China). The mature plants were planted in a field on the FAFU campus [40]. The collection of S. spontaneum and the performance of experimental research on such plant were complied with the national guidelines of China. We declared that S. spontaneum used for this study do not require application for special permissions.

The expression analyses for S. spontaneum, including developmental leaf segments, different times, leaves and stems at different periods, were performed as described in previous studies [23, 41, 42].

Seeds of A. thaliana Columbia ecotype were stored in an incubator (26 °C, 80% relative humidity) in the Center for Genomics and Biotechnology (FAFU, Fuzhou, China); transgenic lines 35Spro:SsSWEET13c were acquired by two consecutive screenings. All the seedlings were incubated on the MS medium at 4 °C for one day, then transferred to the greenhouse (24 °C, 16 h/8 h light/dark, and 80% relative humidity) for seven days. The seedlings were then transferred to nutrient soil (PINDSTRUP 0-10 mm) for growth (24 °C, 16 h/8 h light/dark, and 80% relative humidity).

RNA isolation, reverse transcription and cloning of SsSWEET13c

Total RNA was extracted using TRIzol reagent (Invitrogen, Shanghai, China). Acquired RNA quality was detected by the agarose gel electrophoresis and the NanoDrop 2000 spectrophotometer (keep OD260/OD280 = 1.8 ~ 2.0, OD260/OD230 ≈ 2.0). Good quality RNA was reverse-transcribed to first strand cDNA using PrimeScript™ 1st Strand cDNA Synthesis Kit (Takara, Dalian, China). The primers of SsWEET13c (Additional file 10) were designed via both Snap Gene Viewer and Primer Premier 5.0 and the PCR was performed with PrimeSTAR® Max DNA Polymerase (Takara, Dalian, China).

Vector construction and plant transformation of SsSWEET13c

Using the Gateway method, the SsSWEET13c full-length cDNA was recombined into the pDONR207 vector by the Gateway entry clone. The pMDC140 vector was then used for the expression clone of SsSWEET13c and the CaMV35S promoter. Hygromycin B was the selectable marker employed. Constructs were transformed into Agrobacterium tumefaciens GV3101 and then introduced into WT Arabidopsis by the floral dip method [43]. At the T3 generation, homozygous transgenic lines were used for further assays.

Quantitative reverse transcription PCR (RT-qPCR)

RNA extraction and the first-strand cDNA synthesis were performed in accordance with the above methods. Integrated DNA Technologies ( were used to design gene-specific primer pairs (Additional file 11). SYBR Green method was utilized for RT-qPCR. The product was purchased from the company of GenStar (A310-02). The 25S ribosomal RNA and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were taken as housekeeping genes. The reaction system as follows: 10µL of 2 × RealStar Green Fast Mixture, 0.5 µL of 50 ng/µL cDNA template, 0.5 µL of 10 mM forward primer, 0.5 µL of 10 mM reverse primer 0.5 µL, 8.5 µL of RNase-free H2O. BioRad CFX Connect Real-Time system was used with the following program: 2 min of denaturation at 95 ℃, followed by 40 cycles of 15 s at 95 ℃, 15 s at 60 ℃ and 30 s at 72 ℃. The relative expression levels for SsSWEET13c gene were calculated using the 2-ΔΔCt method [44].

DNA isolation, sequence analysis and molecular cloning of the promoter

Total genomic DNA was extracted by CTAB method. The upstream 2,000 bp promoter sequence of SsSWEET13c was selected for the cis-regulatory element online prediction via PlantCare [45]. The promoter sequence was divided into 5 shorter sequences to amplify them from the sugarcane genomic DNA.

Measurement of sugar, root length and fresh weight content

Measurement kits for glucose, sucrose fructose and the total soluble sugar contents were purchased from Nanjing Jiancheng Bioengineering Research Institute (Nanjing, China). The glucose content was determined by the glucose oxidase method [46]. Glucose measurement kit includes standard solution, calibration solution and glucose solution. 10 µL sample solution (standard solution and calibration solution) was individually mixed with 1000 µL glucose solution, and then amalgamated under 37℃ for 10 min. Absorbance was observed under OD value 505 nm. For calculation of experimental results: Glucose content (mmol/L) = Absorbance of sample mixed solution (A)/Absorbance of calibration mixed solution (A) * Concentration of calibration solution (5.55 mmol/L). The sucrose content was determined using hydrolysate through a boiling water bath. The product has a maximum absorption peak at 290 nm, according to the OD value to calculate the content of sucrose. Measurement kit includes 10 µmol/mL sucrose standard solution and hydrolysate solution. 30 µL sample and sucrose calibration solution were mixed with 2 mL hydrolysate solution. Absorbance was observed under O.D. value 290 nm.

For calculation of experimental results: Sucrose content (µmol/mg) = (Absorbance of sample mixed solution—Absorbance of empty)/ (Absorbance of sample mixed solution—Absorbance of empty) * Concentration of standard solution (10 µmol/mg)*fold of dilution. The fructose content was measured through the product of the interaction between fructose and matrix fluid with a maximum absorption value at 285 nm. Measurement kit includes 1 mg/mL fructose standard solution and solution I. 50 µL samples and fructose standard solution were mixed with 3 mL solution I and boiled for 8 min. Absorbance was observed under O.D. value 285 nm.

For calculation of experimental results: Fructose content (mg/mL) = (Absorbance of sample mixed solution—Absorbance of empty)/ (Absorbance of sample mixed solution—Absorbance of empty) * Concentration of standard solution (mg/mL) *fold of dilution. The total soluble sugar content was defined using the colored reaction between sugar and enthrone. Measurement kit includes 100 µg/mL standard solution and substrate solution, and concentrated sulfuric acid didn’t supply. 200 µL sample and standard solution were mixed with 100 µL substrate solution and 1 mL concentrated sulfuric acid and boiled for 10 min. Absorbance was observed under O.D. value of 620 nm. For calculation of experimental results: The total soluble sugar content (µg/g) = (Absorbance of sample mixed solution—Absorbance of empty)/ (Absorbance of sample mixed solution—Absorbance of empty) * Concentration of standard solution (mg/mL)/fresh weight of samples (g)/volume of water * fold of dilution.

The root length of the plants was measured using a ruler, and then the average root length was calculated. Fresh weight was measured with a balance and the average weight was calculated.

Yeast One-Hybrid

For one-Hybrid Library: The sugarcane cDNA yeast library materials were collected from the 60-day-old (seedling stage) S. spontaneum (SES 208), including mature leaf 1, roll leaf 1, stem 3, stem 6, stem 9, root and flower. The total RNA was extracted and the cDNA fragment was synthesized by reverse transcription after mRNA isolation. Using the Gateway method, cDNA was recombined into the pDONR222 vector by Gateway entry clone (BP reactions) to generate the primary cDNA library. The pGADT7 vector was then used for the expression clone (LR recombination reaction) to obtain the secondary library required for promoter binding examination. The yeast library was constructed by Ouyi Biomedical Technology Co., Ltd (Shanghai, China).

The procedures are followed by Matchmaker® Gold Yeast One-Hybrid Library Screening System User Manual (Clontech, Cat. Nos. 630491, 630,466, 630,499). Briefly, the 1999 bp SsSWEET13c upstream region (starting from ATG) was divided into five fragments (F0, F1, F2, F3 and F4). Primers used to amplify these fragments are listed (Additional file 3). The isolated shorter fragments of SsSWEET13c promoter were inserted into pAbAi vectors to construct the bait vector. After confirmation by sequencing and reconstructed vectors were linearized with restriction enzymes and create a bait/reporter strain by integrating the pBait-AbAi plasmid into the yeast competent cells Y1HGold yeast genome. Growth on the dropout medium (SD) lacking Uracil (-Ura) with AbA enables the determination of the correct concentrations to be used for screening the cDNA library. Construction and screening were conducted using a cDNA library by cotransformation and in vivo homologous recombination, grown on SD lacking leucine (-Leu) with AbA. The positive colonies were sequenced using the universal primer of pGADT7-F/R and then blasted against NCBI and PlantTFDB datasets.

Analysis of the expression profiles of SsSWEET13c and potential TFs

The cDNA libraries for each sample were established according to the manufacturer’s protocol from Illumina TruSeq® RNA. Applied 100-bp paired-end sequencing via Illumina HiSeq2500 equipment at the Center for Genomics and Biotechnology (FAFU, Fuzhou, China). The raw data were aligned on the sorghum gene models using TRINITY ( and the transcripts per million (TPM) value was calculated via the RSEM method.

Availability of data and materials

All data generated during this study are included in this published article and its additional files. S. spontaneum gene sequence data are available in the accession numbers in Genbank: QVOL00000000, and the related RNA-seq data analyzed during the current study are also available in the Sugarcane database (SGD, The 20 TFs sequences were deposited into Genbank (accession numbers: ON929307-ON929326).





Glyceraldehyde-3-phosphate dehydrogenase


Quantitative reverse transcription PCR


Transcripts per million


Sieve element/companion cells


Sugars Will Eventually be Exported Transporters


Transcription Factors




Y1HGold: yeast one-hybrid yeast competent cells


  1. Zhu XG, Long SP, Ort DR. Improving Photosynthetic Efficiency for Greater Yield. Annu Rev Plant Biol. 2010;61(1):235–61.

    Article  CAS  PubMed  Google Scholar 

  2. Stolz J, Stadler R, Opekarová M, Sauer N. Functional reconstitution of the solubilized Arabidopsis thaliana STP1 monosaccharide-H+ symporter in lipid vesicles and purification of the histidine tagged protein from transgenic Saccharomyces cerevisiae. Plant J. 2010;6(2):225–33.

  3. Lambers H, Chapin FS, Pons TL. Photosynthesis. In: Plant Physiological Ecology. New York, NY: Springer New York; 2008. p. 11–99.

    Chapter  Google Scholar 

  4. Ainsworth EA, Bush DR. Carbohydrate Export from the Leaf: A Highly Regulated Process and Target to Enhance Photosynthesis and Productivity. Plant Physiol. 2011;155(1):64.

    Article  CAS  PubMed  Google Scholar 

  5. Kühn C. A Comparison of the Sucrose Transporter Systems of Different Plant Species. Plant Biol. 2003;5(3):215–32.

    Article  Google Scholar 

  6. Lalonde S, Wipf D, Frommer WB. Transport mechanisms for organic forms of carbon and nitrogen between source and sink. Annu Rev Plant Biol. 2004;55:341–72.

    Article  CAS  PubMed  Google Scholar 

  7. Sauer N. Molecular physiology of higher plant sucrose transporters. FEBS Lett. 2007;581(12):2309–17.

    Article  CAS  PubMed  Google Scholar 

  8. Kühn C, Grof CPL. Sucrose transporters of higher plants. Curr Opin Plant Biol. 2010;13(3):287–97.

    Article  CAS  Google Scholar 

  9. Chen LQ. SWEET sugar transporters for phloem transport and pathogen nutrition. New Phytol. 2014;201(4):1150–5.

    Article  CAS  PubMed  Google Scholar 

  10. Wang L, Wang W, Wang YQ, Liu YY, Wang JX, Zhang XQ, Ye D, Chen LQ. Arabidopsis galacturonosyltransferase (GAUT) 13 and GAUT14 have redundant functions in pollen tube growth. Mol Plant. 2013;6(4):1131–48.

    Article  CAS  PubMed  Google Scholar 

  11. Heikkinen S, Argmann CA, Champy MF, Auwerx J. Evaluation of glucose homeostasis. Curr Protoc Mol Biol. 2007;77(1):29B. 23.21-29B. 23.22.

    Article  Google Scholar 

  12. Chen LQ, Hou BH, Lalonde S, Takanaga H, Hartung ML, Qu XQ, Guo WJ, Kim JG, Underwood W, Chaudhuri B, et al. Sugar transporters for intercellular exchange and nutrition of pathogens. Nature. 2010;468(7323):527–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Ge YX, Angenent GC, Wittich PE, Peters J, Franken J, Busscher M, Zhang LM, Dahlhaus E, Kater MM, Wullems GJ, et al. NEC1, a novel gene, highly expressed in nectary tissue of Petunia hybrida. Plant J. 2000;24(6):725–34.

    Article  CAS  PubMed  Google Scholar 

  14. Lin IW, Sosso D, Chen LQ, Gase K, Kim SG, Kessler D, Klinkenberg PM, Gorder MK, Hou BH, Qu XQ, et al. Nectar secretion requires sucrose phosphate synthases and the sugar transporter SWEET9. Nature. 2014;508:546.

    Article  CAS  PubMed  Google Scholar 

  15. Kanno Y, Oikawa T, Chiba Y, Ishimaru Y, Shimizu T, Sano N, Koshiba T, Kamiya Y, Ueda M, Seo M. AtSWEET13 and AtSWEET14 regulate gibberellin-mediated physiological processes. Nat Commun. 2016;7(1):13245.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Chen LQ, Qu XQ, Hou BH, Sosso D, Osorio S, Fernie AR, Frommer WB. Sucrose Efflux Mediated by SWEET Proteins as a Key Step for Phloem Transport. Science. 2012;335(6065):207.

    Article  CAS  PubMed  Google Scholar 

  17. Yuan M, Zhao J, Huang R, Li X, Xiao J, Wang S. Rice MtN3/saliva/SWEET gene family: Evolution, expression profiling, and sugar transport. J Integr Plant Biol. 2014;56(6):559–70.

    Article  CAS  PubMed  Google Scholar 

  18. Ma L, Zhang D, Miao Q, Yang J, Xuan Y, Hu Y. Essential Role of Sugar Transporter OsSWEET11 During the Early Stage of Rice Grain Filling. Plant Cell Physiol. 2017;58(5):863–73.

    Article  CAS  PubMed  Google Scholar 

  19. Manish K, Singh R, Singh O, Prakash S, Pandurang A, Madhu C, Debarchana J, Vineeta S, Diptibala R, Mukherjee A. Genetic analysis for bacterial blight resistance in indica rice (Oryza sativa L.) cultivars. Oryza. 2019;56(3):247–55.

    Article  Google Scholar 

  20. Wu Y, Lee SK, Yoo Y, Wei J, Kwon SY, Lee SW, Jeon JS, An G. Rice Transcription Factor OsDOF11 Modulates Sugar Transport by Promoting Expression of Sucrose Transporter and SWEET Genes. Mol Plant. 2018;11(6):833–45.

    Article  CAS  PubMed  Google Scholar 

  21. Bezrutczyk M, Hartwig T, Horschman M, Char SN, Yang J, Yang B, Frommer WB, Sosso D. Impaired phloem loading in zmsweet13a, b, c sucrose transporter triple knock-out mutants in Zea mays. New Phytol. 2018;218(2):594–603.

    Article  CAS  PubMed  Google Scholar 

  22. Zhang J, Zhou M, Walsh J, Zhu L, Chen Y, Ming R. Sugarcane Genetics and Genomics. In: Sugarcane: Physiology, Biochemistry, and Functional Biology. 2013. p. 623–43.

    Chapter  Google Scholar 

  23. Hu W, Hua X, Zhang Q, Wang J, Shen Q, Zhang X, Wang K, Yu Q, Lin Y-R, Ming R, et al. New insights into the evolution and functional divergence of the SWEET family in Saccharum based on comparative genomics. BMC Plant Biol. 2018;18(1):270.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Jin J, Zhang H, Kong L, Gao G, Luo J. PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors. Nucleic Acids Res. 2014;42(D1):D1182–7.

    Article  CAS  PubMed  Google Scholar 

  25. Li P, Ponnala L, Gandotra N, Wang L, Si Y, Tausta SL, Kebrom TH, Provart N, Patel R, Myers CR. The developmental dynamics of the maize leaf transcriptome. Nat Genet. 2010;42(12):1060.

    Article  CAS  PubMed  Google Scholar 

  26. Emms DM, Covshoff S, Hibberd JM, Kelly S. Independent and Parallel Evolution of New Genes by Gene Duplication in Two Origins of C4 Photosynthesis Provides New Insight into the Mechanism of Phloem Loading in C4 Species. Mol Biol Evol. 2016;33(7):1796–806.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Rolland F, Moore B, Sheen J. Sugar sensing and signaling in plants. Plant Cell. 2002;14 Suppl(Suppl):S185-205.

    Article  PubMed  CAS  Google Scholar 

  28. Ni J, Li J, Zhu R, Zhang M, Qi K, Zhang S, Wu J. Overexpression of sugar transporter gene PbSWEET4 of pear causes sugar reduce and early senescence in leaves. Gene. 2020;743:144582.

    Article  CAS  PubMed  Google Scholar 

  29. Klemens PA, Patzke K, Deitmer J, Spinner L, Le Hir R, Bellini C, Bedu M, Chardon F, Krapp A, Neuhaus HE. Overexpression of the vacuolar sugar carrier AtSWEET16 modifies germination, growth, and stress tolerance in Arabidopsis. Plant Physiol. 2013;163(3):1338–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Meteier E, La Camera S, Goddard ML, Laloue H, Mestre P, Chong J. Overexpression of the VvSWEET4 Transporter in Grapevine Hairy Roots Increases Sugar Transport and Contents and Enhances Resistance to Pythium irregulare, a Soilborne Pathogen. Front Plant Sci. 2019;10:884.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Li P, Wang L, Liu H, Yuan M. Impaired SWEET-mediated sugar transportation impacts starch metabolism in developing rice seeds. The Crop J. 2021;10(1):98–108.

  32. Yang J, Luo D, Yang B, Frommer WB, Eom JS. SWEET11 and 15 as key players in seed filling in rice. New Phytol. 2018;218(2):604–15.

    Article  CAS  PubMed  Google Scholar 

  33. Sosso D, Luo D, Li QB, Sasse J, Yang J, Gendrot G, Suzuki M, Koch KE, McCarty DR, Chourey PS, et al. Seed filling in domesticated maize and rice depends on SWEET-mediated hexose transport. Nat Genet. 2015;47(12):1489–93.

  34. Czechowski T, Bari RP, Stitt M, Scheible WR, Udvardi MK. Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes. Plant J. 2004;38(2):366–79.

    Article  CAS  PubMed  Google Scholar 

  35. Jakoby M, Weisshaar B, Dröge-Laser W, Vicente-Carbajosa J, Tiedemann J, Kroj T, Parcy F. bZIP transcription factors in Arabidopsis. Trends Plant Sci. 2002;7(3):106–11.

    Article  CAS  PubMed  Google Scholar 

  36. Sakuma Y, Liu Q, Dubouzet JG, Abe H, Shinozaki K, Yamaguchi-Shinozaki K. DNA-binding specificity of the ERF/AP2 domain of Arabidopsis DREBs, transcription factors involved in dehydration-and cold-inducible gene expression. Biochem Biophys Res Commun. 2002;290(3):998–1009.

    Article  CAS  PubMed  Google Scholar 

  37. Xu H, Wang X, Chen J. Overexpression of the Rap2.4f transcriptional factor in Arabidopsis promotes leaf senescence. Sci China Life Sci. 2010;53(10):1221–6.

    Article  CAS  PubMed  Google Scholar 

  38. Wang Y, Henriksson E, Söderman E, Henriksson KN, Sundberg E, Engström P. The arabidopsis homeobox gene, ATHB16, regulates leaf development and the sensitivity to photoperiod in Arabidopsis. Dev Biol. 2003;264(1):228–39.

    Article  CAS  PubMed  Google Scholar 

  39. Irvine JE. Saccharum species as horticultural classes. Theor Appl Genet. 1999;98(2):186–94.

    Article  Google Scholar 

  40. Zhang J, Arro J, Chen Y, Ming R. Haplotype analysis of sucrose synthase gene family in three Saccharumspecies. BMC Genomics. 2013;14(1):314.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Wang Y, Hua X, Xu J, Chen Z, Fan T, Zeng Z, Wang H, Hour A-L, Yu Q, Ming R, et al. Comparative genomics revealed the gene evolution and functional divergence of magnesium transporter families in Saccharum. BMC Genomics. 2019;20(1):83.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Zhang Q, Hu W, Zhu F, Wang L, Yu Q, Ming R, Zhang J. Structure, phylogeny, allelic haplotypes and expression of sucrose transporter gene families in Saccharum. BMC Genomics. 2016;17(1):88.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Clough SJ, Bent AF. Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 1998;16(6):735–43.

    Article  CAS  PubMed  Google Scholar 

  44. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8.

    Article  CAS  PubMed  Google Scholar 

  45. Lescot M, Déhais P, Thijs G, Marchal K, Moreau Y, Van de Peer Y, Rouzé P, Rombauts S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002;30(1):325–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Shervedani RK, Mehrjardi AH, Zamiri N. A novel method for glucose determination based on electrochemical impedance spectroscopy using glucose oxidase self-assembled biosensor. Bioelectrochemistry. 2006;69(2):201–8.

    Article  CAS  PubMed  Google Scholar 

Download references


We thank Plant BioPress Editing for the language editing.


This work was supported by the Science and Technology Planting Project of Guangdong Province (2019B020238001); National key research and development program (2018YFD1000104); the National Natural Science Foundation of China (31201260, 31760413 and 31660420); the Science and Technology Major Project of Guangxi (GK2018-266-Z01); the Fujian Provincial Department of Education (No. JA12082); National Engineering Research Center for Sugarcane, Fujian Agriculture and Forestry University (NERD2018.7.1); and the Sugarcane Research Foundation of Guangxi University (Grant No.2022GZB007).

Author information

Authors and Affiliations



J.Z. conceived and designed research. Y.L., Q.S. and D.Z. conducted experiments. Q.S. and X.H. contributed plant material. X.H., Y.L. and Q.S. analyzed data. J.Z., X.H., Q.S., S.A. and D.Z. wrote the manuscript. J.Z., X.H., Q.S., Y.L., Z.W. and Z.Z. All authors reviewed the manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Jisen Zhang.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Relative expression of overexpressing SsSWEET13c Arabidopsis thaliana lines by RT-qPCR. (A) Overexpression levels of 6 strains (B) Average overexpression levels of 6 strains.

Additional file 2.

Root length and fresh weight of SsSWEET13c overexpression lines and WT.

Additional file 3.

The fragment sequences used in yeast-one hybrid.

Additional file 4.

PCR results of 1% agarose gel electrophoresis for SsSWEET13c promoter. (A) 1-2 indicated fragment (-1999 to -1721), 3-4 indicated fragment (-1580 to -1250). 5-10 were not used for this study. (B) 1-8 indicated fragment (-660 to -310). (C) 1-8 indicated fragment (-309 to -1). M, maker.

Additional file 5.

The sequences of transcription factor from yeast one-hybrid.

Additional file 6.

The sequences of transcription factor from yeast one-hybrid align to NCBI and PlantTFDB.

Additional file 7.

Gene expression value based on transcripts per million (TPM).

Additional file 8.

Pearson correlations between SsWEET13c and transcription factors expression pattern.

Additional file 9.

RT-qPCR verification of nine TFs in partial segments of leaf gradients.

Additional file 10.

Primers for amplifying the coding sequence of SsSWEET13.

Additional file 11.

The primers for RT-qPCR of SsSWEET13c and nine TFs from yeast one-hybrid in S. spontaneum.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hua, X., Shen, Q., Li, Y. et al. Functional characterization and analysis of transcriptional regulation of sugar transporter SWEET13c in sugarcane Saccharum spontaneum. BMC Plant Biol 22, 363 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: