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Two Novel Anoxia-Induced Ethylene Response Factors That Interact with Promoters of Deastringency-Related Genes from Persimmon

  • Ting Min,

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

  • Fang Fang,

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

  • Hang Ge,

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

  • Yan-na Shi,

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

  • Zheng-rong Luo,

    Affiliation Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan, PR China

  • Yun-cong Yao,

    Affiliation Department of Plant Science and Technology, Beijing University of Agriculture, Beijing, PR China

  • Donald Grierson,

    Affiliations Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China, Plant & Crop Sciences Division, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom

  • Xue-ren Yin ,

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

  • Kun-song Chen

    Affiliation Laboratory of Fruit Quality Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou, PR China

Two Novel Anoxia-Induced Ethylene Response Factors That Interact with Promoters of Deastringency-Related Genes from Persimmon

  • Ting Min, 
  • Fang Fang, 
  • Hang Ge, 
  • Yan-na Shi, 
  • Zheng-rong Luo, 
  • Yun-cong Yao, 
  • Donald Grierson, 
  • Xue-ren Yin, 
  • Kun-song Chen


A hypoxic environment is generally undesirable for most plants and stimulates anaerobic metabolism. It is a beneficial treatment, however, for the removal of astringency from persimmon to improve the fruit quality after harvest. High soluble tannins (SCTs) content is one of most important causes of astringency. High CO2 (95%) treatment effectively reduced SCTs in both “Mopan” and “Gongcheng-shuishi” persimmon fruit by causing increases in acetaldehyde. Using RNA-seq and realtime PCR, twelve ethylene response factor genes (DkERF11-22) were isolated and characterized, to determine those responsive to high CO2 treatment. Only two genes, DkERF19 and DkERF22, showed trans-activation effects on the promoters of deastringency-related genes pyruvate decarboxylase genes (DkPDC2 and DkPDC3) and the transcript levels of these genes was enhanced by hypoxia. Moreover, DkERF19 and the previously isolated DkERF9 had additive effects on activating the DkPDC2 promoter. Taken together, these results provide further evidence that transcriptome changes in the level of DkERF mRNAs regulate deastringency-related genes and their role in the mechanism of persimmon fruit deastringency is discussed.


Low oxygen is a common abiotic stress in plant developmental physiology, which is mainly caused by flooding/submerge. On the contrary, however, reduced oxygen concentration is beneficial for some fruit quality traits, eg. Controlled Amosphere (CA) storage with low oxygen level prolongs storage life and maintains fruit quality [1], [2]. Besides CA storage, one interesting additional advantage of low oxygen improvement of fruit quality occurs in persimmon fruit (Diospyros kaki), where it removes undesirable astringency. Development of persimmon fruit is accompanied by the accumulation of proanthocyanidins (PAs; also known as condensed tannins, CTs). CTs are colourless polyphenolic compounds important both for the plant and human, however, the soluble part of CTs (SCTs) make an important adverse contribution to fruit taste by causing astringency [3], [4]. Most persimmon fruit are of the astringent type, which are rich in SCTs even at maturity [5], [6]. Among the artificial treatments, high CO2 treatment (with reduced oxygen level) and to a lesser extent ethylene treatment, leads to anaerobic fermentation in persimmon fruit, thus triggering acetaldehyde metabolism [7][9]. Acetaldehyde plays important roles in polymerization of SCTs, converting them to insoluble condensed tannins (InSCTs) [10], [11].

Due to the importance of deastringency for persimmon fruit quality, we investigated the molecular mechanisms whereby low oxygen drove deastringency by isolation of eight alcohol dehydrogenase genes (DkADH) and pyruvate decarboxylase (DkPDC) genes from persimmon fruit and showed that increased DkADH1, DkPDC1 and DkPDC2 mRNA levels were closely correlated with persimmon deastringency. Transient overexpression of DkPDC2 in persimmon leaves resulted in lower SCTs content [12]. In addition, several hypoxia-responsive ERF transcriptional regulator genes were also isolated, including DkERF4, DkERF5, DkERF9 and DkERF10 [12], [13], but only DkERF9 and DkERF10 activated the promoters of DkPDC2 and DkADH1, respectively [12]. These results suggested that ERF genes are involved in transcriptional regulation of persimmon fruit deastringency, and also expanded the functional changes involving ERF genes, which also include texture [14][16], carotenoids [17], ethylene [18], senescence [19] and stress response [20]. However, due to the lack of genome information for persimmon fruit, a genome-wide overview of the effects of ERF genes on persimmon fruit deastringency was prevented.

In the model plant Arabidopsis, at least four ERF genes, including HRE1, HRE2, RAP2.2 and RAP2.12, were recently characterized as the main plant oxygen-sensing regulators. These ERF genes could transcriptionally regulate ADH and PDC, and lead to hypoxia tolerance [21][26]. Compared with arabidopsis ERF genes, only two DkERF genes (DkERF9 and DkERF10) were characterized as the transcriptional regulator on persimmon deastringency related genes [12]. Thus, additional ERF genes related to deastringency might exist in persimmon. Moreover, the four arabidopsis ERF genes were all belong to subfamily VII, the regulatory effect of the ERF genes from the other subfamilies on hypoxia response or persimmon deastringency need further investigation.

Following our previous studies, a more comprehensive analysis was performed using RNA-seq and twelve novel ERF genes were isolated, in addition to the four studied previously. A dual luciferase assay was used to study their regulatory effects on deastringency-related target genes in ‘Mopan’ and ‘Gong cheng-shui shi’ cultivars which were are both astringent types.

Materials and Methods

Fruit Materials

Two persimmon cultivars that respond to deastringency treatment, ‘Mopan’ and ‘Gong cheng-shui shi’, were chosen as materials. The batch of ‘Mopan’ persimmon was the same as that used in our previous report [12]. The other batch of astringent persimmon, ‘Gong cheng-shui shi’, was obtained from a commercial orchard at Gongcheng (Guilin, China) in 2012. The fruit were transported to Zhejiang University (Hangzhou, Zhejiang, China) on the second day after harvest. The 180 fruit were divided into two 90 fruit lots. Treated fruit were exposed to 95% CO2 and control fruit were placed in air, both in air-tight plastic containers for 1 day. After treatment, the fruit were held in air at 20°C until the end of the experiment. For each sampling point, fruit flesh samples (without skin and core) were taken from three replicates of four fruit each. The samples were frozen in liquid nitrogen and stored at −80°C until further use.

Fruit Physiology Evaluation

Fruit firmness measurement was carried out in a TA-XT2i texture analyzer (Stable Micro Systems, Godalming, Surrey, UK), fitted with a 5 mm diameter head, 1 mm/s penetration test rate and 1 mm thickness of peel, according to our previous report [13]. 10 fruit per sampling point were measured at two positions 90° to each other at the fruit equator.

The content of soluble condensed tannins (SCTs), the most important index for astringency, were measured using Folin-Ciocalteu reagent according to the method described in our previous report [13].

RNA Extraction and cDNA Synthesis

Total RNA was prepared according to the method used in our previous report [27]. The trace amount of genomic DNA in total RNA was digested with TURBO DNA free kit (Ambion). First strand cDNA was synthesized from 1.0 µg DNA-free RNA, using iScript cDNA Synthesis Kit (Bio-Rad). For each sampling point, three biological replicates were used for RNA extraction and the subsequent cDNA synthesis.

Gene Isolation and Sequence Analysis

The novel ERF genes induced by anoxia deastringency treatment were isolated based on RNA-Seq. ‘Mopan’ fruit, 0 d (astringency) and 2 d in CO2 treatment (deastringency), were chosen and constructed into two different libraries. The RNA extraction and preparatory procedures were as previously reported [28]. The libraries construction and RNA-Seq was performed and sequences assembled and annotated by the Beijing Genome Institute (BGI) (Shenzhen, China). The data were firstly removed the adapter sequences and low quality sequences and de novo assembled into Unigenes using SOAPdevono assembly program (version 1.04) [29] and TGICL [30], with the parameters described in previous report [28]. Furthermore, the Unigenes was annotated by BLASTxing to NCBI non-redundant (nr) database with E-value cutoff of 1e−5. Meanwhile, RPKM (Reads per kb per million reads) values were used to calculate the UniGene expression level using SOAPaligner software (Version 2.20, and DFR value, which was calculated based on P value, was used to identify genes expressed differentially between two samples as described as previously reported [28].

Full-length ERF genes were amplified with a SMART RACE cDNA Amplification Kit (Clontech). The sequences of primers used for RACE are described in Table S1. Based on the deduced amino acid sequences, a phylogenetic tree of ERF genes was generated using ClustalX (v 1.81) and calculated using Figtree (v1.3.1). The deduced amino acid sequences of homologous genes of Arabidopsis were obtained from TAIR (The Arabidopsis Information Resource).

Oligonucleotide Primers and Real-time PCR

Oligonucleotide primers for real-time PCR analysis were designed with primer3 (v. 0.4.0, The specificity of primers was determined by melting curves and PCR products resequencing. The sequences of oligonucleotide primers are in Table S2.

Real-time PCR was carried out using a CFX96 instrument (Bio-Rad). The PCR mixtures and reactions were according to our previous report, with Ssofast EvaGreen Supermix (Bio-Rad) [13]. The relative abundance of each gene was calibrated by comparison with a sample of day 0 fruit (set as 1). Abundance of cDNA templates was monitored with DkActin, a housekeeping gene [31].

Dual Luciferase Assay

Dual luciferase assay was performed according to our previous report [12], [14]. Two vectors were used as backbones: (1) pGreen II 0029 62-SK vector (SK) was used for harboring the full-length coding sequences of transcription factors, (2) pGreen II 0800-LUC vector (LUC) was used for harboring promoters. The isolated full-length DkERF9 and DkERF10, as well as promoters of DkADH1 and DkPDC2, were constructed into the two vectors, SK and LUC respectively [12]. New ERF genes (DkERF11-22) and promoters of DkPDC3 were constructed into SK and LUC vector respectively, using the primers described in Table S3.

All of the constructs were confirmed by sequencing and were then electroporated into Agrobacterium tumefaciens GV3101. The transient assay was performed with Nicotiana benthamiana leaves. Agrobacterium culture mixtures of TFs (1 ml) and promoters (100 µl) were infiltrated into tobacco leaves by needle-less syringes with the infiltration buffer (10 mM MES, 10 mM MgCl2, 150 mM acetosyringone, pH 5.6). Tobacco plants were grown in a growth chamber, with light: dark cycles of 16∶8 h. Three days after infiltration, firefly luciferase and renilla luciferase were assayed using the dual luciferase assay reagents (Promega). For each TF-promoter interaction, three independent experiments were performed (at least five replicates in each experiment).

Yeast One-hybrid Assay

In order to verify the results obtained from the dual luciferase assay, yeast one-hybrid assays were performed using the Matchmaker Gold Yeast One-Hybrid Library Screening System (Clontech, USA). The promoter of DkADH1, DkPDC2, DkPDC3 were constructed into pAbAi vector (primers are listed in Table S4). Due to the auto-activation activities of DkADH1 and DkPDC3 promoters, only DkPDC2 promoter was chosen for interaction test. The DkPDC2-AbAi and p53-AbAi were linearized and transformed into Y1HGold. The full-lengths of transcript factor DkERF19 were subcloned into pGADT7 AD vector (AD) (primers are listed in Table S4). Transformed Y1HGold were cultured on SD/−Leu containing 0–200 ng/ml aureobasidin A at 28°C for 3 d to test interaction. pGADT7-Rec (AD-Rec-P53) was co-transformed with the p53-promoter fragment to Y1HGold as positive control.

Statistical Analysis

Statistical significance of differences was calculated using Student’s t test or least significant difference (LSD) using DPS software (v. 3.11).


Gene Isolation and Sequence Analysis

In our previous reports, ten DkERF genes (DkERF1-DkERF10) were isolated, among which DkERF9 and DkERF10 functioned as transcriptional activators of ADH and PDC promoters [12], [13]. However, additional mRNAs for ERF related homologs were discovered that increased in amount during anoxia/deastringency treatment, using RNA-seq. Twelve novel ERF genes, designated as DkERF11 to DkERF22 (KJ170911-KJ170922), were isolated from ‘Mopan’ persimmon using RNA-seq and RACE.

Phylogenetic analysis of the deduced amino acid sequences showed that the 12 ERF genes were clustered into seven subfamilies, DkERF11 was very close to DkERF1 in subfamily I, DkERF12 and DkERF13 belong to subfamily II, DkERF14 and DkERF15 belong to subfamily III, DkERF16 belongs to subfamily V, DkERF17 -19 and DkERF20-22 were clustered in subfamilies IX and X, respectively (Fig. 1).

Figure 1. Phylogenetic tree of ethylene response factors.

Persimmon DkERFs are highlighted in red. The amino acid sequences of the Arabidopsis ERF family were obtained from The Arabidopsis Information Resource. The phylogenetic tree was constructed with figtree (version 3.1).

Expression Analysis in Relation to Deastringency in ‘Mopan’ Persimmon

Since the twelve novel ERF genes were indicated as being induced by anoxia/deastringency treatment, realtime PCR was used to confirm the changes in transcript abundance of the ERF genes. The results indicated that ERF11-ERF22 transcripts were induced by CO2 treatment, whereas they remained constant in control fruit (Fig. 2, Figure S1). Most of the ERF genes transcripts reached a peak at 1 d; while three ERF genes (DkERF14, DkERF16 and DkERF19) were expressed most abundantly at 2 d.

Figure 2. DkERF expression patterns in response to CO2 (95%, 1 d) treatment in Mopan’ persimmon fruit at 20°C.

Relative mRNA abundance was evaluated by real-time PCR. The heatmap indicates the average mRNA abundance from three biological repeats and was constructed by MeV4.8.1.

Expression Analysis in Relation to Deastringency in ‘Gong Cheng-shui Shi’ Fruit

A further experiment was performed with ‘Gong cheng-shui shi’ persimmon, which also respond to deastringency treatment, to confirm the association between DkERF genes and deastringency, using CO2 (95%), as with ‘Mopan’. The results indicated that CO2 treatment accelerated the decrease of soluble tannins content in the flesh of ‘Gong cheng-shui shi’ fruit, as soluble tannins content was much lower in CO2-treated fruit (1.101 µg/g at 1 d and 0.450 µg/g at 4 d) than the control fruit (1.432 µg/g at 1 d and 1.423 µg/g at 4 d) (Fig. 3). Fruit softening was also promoted by CO2 treatment, as fruit softened from an initial value of 47.375 N to 28.944 N after CO2 treatment compared to 46.641 N in control fruit after 4 days in storage (Figure S2).

Figure 3. Effects of CO2 treatment (95%, 1 day) on soluble tannins in ‘Gong cheng-shui shi’ fruit at 20°C.

Black columns and red columns represent the control and the CO2 treatment respectively. Error bars represent ±SE from three replicates.

Concomitantly with the deastringency process (decreasing of soluble tannins), the twelve DkERF genes all exhibited an increase in expression. Most of the DkERF genes rapidly responded to CO2 treatment at 1 d, while transcripts of DkERF11 and DkERF19 exhibited delayed accumulation at 2 d, and DkERF16 peaked at 3 d (Fig. 4, Figure S3). Coordinate changes in DkERF genes, DkADH and DkPDC genes were also induced by CO2 treatment (Figure S4). Taking the results from ‘Mopan’ and ‘Gong cheng-shui shi’ fruit together, the gene expression studies showed that increased expression of DkERF genes was closely associated with persimmon fruit deastringency.

Figure 4. DkERF expression patterns in response to CO2 (95%, 1 d) treatment in ‘Gong cheng-shui shi’ fruit at 20°C.

Relative mRNA abundance was evaluated by real-time PCR. The heatmap indicates the average mRNA abundance from three biological repeats and was constructed by MeV4.8.1.

Interaction of DkERF and Promoters of Deastringency-related Target Genes

On the basis of the initial expression correlation studies, a more direct experiment was performed to test the transcriptional regulatory roles of DkERF on deastringency-related target genes. Firstly, in vivo interactions were examined with a dual luciferase assay in Nicotiana benthamiana leaves. The previously identified DkERF9 and DkERF10 could activate promoters of deastringency-related genes (Fig. 5). From the novel twelve DkERF, DkERF19 and DkERF22 acted as activators of DkPDC2 and DkPDC3, respectively. No significant interactions were observed between DkERF and DkADH1, except for that with the previously characterized DkERF10 (Fig. 5). Moreover, combination of the two activators, DkERF9 and DkERF19, produced a higher activation (LUC/REN = 9.150) than the single transcription factor (LUC/REN values for DkERF9 and DkERF19 are 3.437 and 2.726, respectively) (Fig. 6). Using yeast one-hybrid system, interaction of DkERF19 and DkPDC2 promoter was further confirmed (Fig. 7).

Figure 5. In vivo interaction of DkERF with the promoters of DkADH1, DkPDC2 and DkPDC3.

The ratio of LUC/REN of the empty vector (SK) plus promoter was used as calibrator (set as 1). The data in grey columns are derived from Min et al., (2012) for comparison. Error bars indicate±SEs from five biological replicates.

Figure 6. Synergistic trans-activation effect of combination of DkERF genes on DkPDC2 promoter.

Figure 7. Yeast one-hybrid analysis of DkERF19 binding to promoter of DkPDC2.

Auto-activation of promoters were tested on SD medium lacking Ura in presence of aureobasidin A. Interaction was determined on SD medium lacking Leu in presence of aureobasidin A.

A further experiment was conducted in order to test the trans-activation activities under the anoxic environment used for deastringency treatment. The results indicated that transcription from the promoters of DkADH1, DkPDC2 and DkPDC3 were inducible with 95% CO2 treatment (supplemented with 4% N2 and 1% O2). With present of DkERF genes, the relative LUC/REN values were also enhanced with 95% CO2 treatment, except for the combination of DkERF19 - DkPDC2 promoter and DkERF22 - DkPDC3 promoter (Fig. 8).

Figure 8. High concentration CO2 (95%) affects in vivo interaction of DkERF and the DkADH1 promoter.

Tobacco plants, 2% CO2 for 12 h. Black and red columns represent control (air) and CO2 treatment, respectively. The ratio of LUC/REN of the empty vector (SK) plus promoter was used as calibrator (set as 1). Error bars indicate±S.E.s from five biological replicates.


Ethylene response factors, the downstream components in the ethylene signal transduction pathway, are encoded by a plant-specific transcription factor gene family [32]. Numerous ERF genes have been characterized and shown to be key regulators in plant defense/response to abiotic and biotic stresses, including the newly identified hypoxia-responsive ERF [22]. So far, at least five ERF genes, including HRE1, HRE2, RAP2.2, RAP2.3 and RAP2.12, have been implicated as key control elements in Arabidopsis tolerance to anoxia, by transcriptional regulation of ADH and PDC genes [23], [26]. Generally, hypoxia is an undesirable growth environment for most plants, although, on the contrary, an hypoxia/low oxygen environment is one of the most effective treatments to improved persimmon fruit quality for human consumption, because it leads to production of acetaldehyde, which is responsible for removal of the astringency taste caused by soluble tannins [9], [13], [33]. Thus, investigating the roles of hypoxia-responsive ERF genes in persimmon fruit should contribute both to the functional analysis of the ERF family and also to fruit quality improvement.

Our previous results indicated that two hypoxia-responsive ERF genes, DkERF9 and DkERF10, interacted with promoters of the deastringency-related genes DkPDC2 and DkADH1 [12]. However, the results from persimmon showed some differences compared to the Arabidopsis results, where the hypoxia-responsive ERF genes were mainly clustered within the subfamily VII [34], while in persimmon DkERF9 and DkERF10 they belong to subfamily IV and VII [12]. Thus, we proposed that the role of ERF genes in persimmon astringency removal might be more complicated than in the Arabidopsis hypoxia response. Thus, transcriptome analysis by RNA-seq was chosen for the present research, due to the lack of genome information available. Twelve novel ERF genes (DkERF11-22) were characterized as being responsive to anoxia/deastringency (95% CO2) treatment. These DkERF genes were widely distributed throughout the ERF family, including subfamily I, II, III, VII, IX and X. Moreover, the transcriptional responses of these DkERF genes to the CO2 treatment were conserved in two different astringent cultivars, cv. ‘Mopan’ and cv. ‘Gong cheng-shuishi’, and the expression patterns were similar to the five hypoxia-responsive ERF genes in Arabidopsis [23]. These results, once again, indicated that ERF genes involved in persimmon fruit deastringency show some similarities to those in the Arabidopsis hypoxia response, but in persimmon the four DkERF genes, DkERF9/10/19/22, were distributed into subfamilies IV, VII, VIII and IX (Fig. 1), while the hypoxia responsive ERF genes were mainly clustered into subfamily VII.

In persimmon, DkERF19 and DkERF22, activated promoters of DkPDC2 and DkPDC3 (Fig. 5). Taken together with our previous results, three anoxia-responsive deastringency genes have their own specific regulators, DkERF10 for the DkADH1 promoter, DkERF9 and DkERF19 for the DkPDC2 promoter, and DkERF22 for the DkPDC3 promoter. In Arabidopsis, hypoxia responsive ERF positively regulate the ADH and PDC genes [23], but the effect of anoxia environment on the trans-activation of ERF on the promoters of target genes were not reported. Here, we found that the transient activations of DkERF genes on the target promoters were substantially enhanced by deastringency treatment (95% CO2). Due to the slight changes were observed from DkERF19-DkPDC2 promoter and DkERF22-DkPDC3 promoter, thus the enhancement of 95% CO2 on ERF-promoter may not only by turning on the target promoters. However, the mechanisms of thus increasing transient activations need further investigations.

One of the most interesting observations from the present research is the additive effect of DkERF9 and DkERF19 on the promoter of DkPDC2. In plants, there are examples of transcription factor complexes, where two or even more transcription factors interact with each other generating stronger activation phenomenon, such as MYB-bHLH-WD40 in anthocyanin biosynthesis [35], [36]. Some new transcription factors interaction have also been reported, such as HD2 and ERF1 in longan fruit [19]. However, The mechanisms of additive effect of DkERF9 and DkERF19 need further research in order to test this possibility.

In conclusion, on the basis of our previous studies and transcriptome analysis, there are at least 18 DkERF genes (DkERF1, 4, 5, 6, 9–22) responsive to hypoxia/deastringency treatment (95% CO2). Taken together our previous report and the present results, only four DkERF, DkERF9/10/19/22, were characterized as activators for specific target genes. Based on the present findings, we propose that DkERF genes involved in persimmon deastringency may partially mimic the similar functions of hypoxia-responsive ERF genes in Arabidopsis. The five key HRE genes in Arabidopsis, however, belong to subfamily VII, while four of the persimmon DkERF genes belong to subfamily IV, VII, IX and X, respectively. These results provided a more comprehensive overview of functions of DkERF in persimmon deastringency removal at the transcriptome level, and also provided some hints to isolate more hypoxia-responsive ERF genes from other plants.

Supporting Information

Figure S1.

Expression of DkERF genes in response to CO2 treatment in ‘Mopan’ persimmon. Supplemental to Fig. 2 in manuscript.


Figure S2.

Effects of high concentration of CO2 (95%, red open circles, 1 day) treatment on firmness in ‘Gong cheng-shui shi’ fruit at 20°C. Error bars represent ±SE from ten replicates.


Figure S3.

Expression of DkERF genes in response to CO2 treatment in ‘Gongcheng-shuishi’ persimmon. Supplemental to Fig. 5 in manuscript.


Figure S4.

DkADH and DkPDC Expression patterns in response to CO2 treatment in ‘Gong cheng-shui shi’ persimmon fruit at 20°C. Relative mRNA abundance was evaluated by real-time PCR from three biological repeats by Mev.4.8.1 soft.


Table S1.

The sequences of primers used for RACE.


Table S2.

The sequences of primers used for Real-time PCR.


Table S3.

The sequences of primers used for full-length amplification.


Table S4.

The sequences of primers used for yeast one-hybrid analysis.


Author Contributions

Conceived and designed the experiments: TM ZrL YcY XrY KsC. Performed the experiments: TM FF HG YnS. Analyzed the data: TM FF ZrL XrY DG KsC. Contributed reagents/materials/analysis tools: TM FF HG YnS YcY XrY. Wrote the paper: XrY TM DG KsC.


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