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Original article
Open Access

Overexpression of CsLEA11, a Y3SK2-type dehydrin gene from cucumber (Cucumis sativus), enhances tolerance to heat and cold in Escherichia coli

†Contributed equally
AMB Express20177:182

https://doi.org/10.1186/s13568-017-0483-1

©  The Author(s) 2017

Received: 1 August 2017

Accepted: 19 September 2017

Published: 29 September 2017

Abstract

As the group II LEA (late embryogenesis abundant) proteins, dehydrins (DHNs) play an important role in plant growth and development, as well as in response to abiotic or biotic stress challenges. In this study, a DHN gene named CsLEA11 was identified and characterized from Cucumis sativus. Sequence analysis of CsLEA11 showed that it is a Y3SK2-type DHN protein rich in hydrophilic amino acids. Expression analyses revealed that the transcription of CsLEA11 could be significantly induced by heat and cold stress. The recombinant plasmid was transformed into Escherichia coli BL21 and isopropy-β-d-thiogalactoside (IPTG) was used to induce recombinant E. coli to express CsLEA11 gene. Overexpression of CsLEA11 in E. coli enhanced cell viability and conferred tolerance to heat and cold stress. Furthermore, CsLEA11 protein could protect the activity of lactate dehydrogenase (LDH) under heat stress. Taken together, our data demonstrate that CsLEA11 might function in tolerance of cucumber to heat and cold stress.

Keywords

Cucumis sativus Dehydrin (DHN)Intrinsically disordered protein (IDP)Expression analysisAbiotic stress

Introduction

Temperature is one of the major factors affecting plant growth and productive capacity (Guo et al. 2017). Higher plants have evolved a variety of strategies for continuous changes to deal with the unfavorable stresses, such as heat and cold. For example, LEA (late embryogenesis abundant) proteins are synthesized in large amounts during the late stages of seed development, enabling the maturing seeds to acquire desiccation tolerance, which plays an important role in the adaptation of plants to abiotic stresses (Hu et al. 2016; Tang et al. 2016; Tolleter et al. 2007).

As the group II LEA, dehydrins (DHNs) are highly hydrophilic proteins, and contain three conserved motifs named as K-, Y-, and S-segments. Based on the numbers of Y-, S- and K-segments, DHNs can be subdivided into five major types, including YnSKn, Kn, SKn, YnKn, and KnS (Close 1996; Lv et al. 2017). Since DHN genes are expressed in various plant tissues including roots, stems, leaves, flowers, fruits and seeds, different types of DHN genes may be involved in response to diverse abiotic stresses including heat and cold (Abedini et al. 2017; Charfeddine et al. 2017; Jing et al. 2016; Verma et al. 2017). For example, the expression of three DHN genes was detected in sugarcane under heat stress, and their expression is independent of the changes in the water relations of leaves (Wahid and Close 2007). Both Grapevine DHN1 and DHN2 are induced by heat and cold, but their expression profiles differ appreciably from each other (Yang et al. 2012). In Tifway, CdDHN4 is greatly up-regulated by heat and cold treatments, and its expression under cold treatment is significantly higher than that under heat treatment (Lv et al. 2017).

There are increasing evidences showing that there are extensive correlative links between DHNs and tolerance to heat or cold stress in organisms. For example, wheat DHN-5 is able to protect enzyme activities in vitro from adverse effects induced by heating (Brini et al. 2010). Wheat WZY2 can act as a protectant to increase Escherichia coli viability, protect lactate dehydrogenase (LDH) activity and inhibit protein aggregation during temperature variation including heat and cold (Yang et al. 2015). A number of studies have shown that the cold stress tolerance was enhanced by overexpression of different DHNs in various plant species, such as Arabidopsis (Aguayo et al. 2016; Ochoa-Alfaro et al. 2012; Peng et al. 2008), tobacco (Guo et al. 2017; Hill et al. 2016; Liu et al. 2014; Xing et al. 2011), strawberry (Houde et al. 2004), cucumber (Yin et al. 2006), and tomato (Liu et al. 2015), suggesting their possible functions in cold stress. Besides, loss of function of some DHN genes can also decrease the cold stress tolerance of transgenic plants. For example, silencing of either CaDHN1 or CaDHN3 in pepper resulted in obviously lower resistance to cold stress compared with the control (Chen et al. 2015; Jing et al. 2016).

A previous study examined the LEA gene family in cucumber and found that one of DHN genes named CsLEA54 might facilitate the adaptation of cucumber to drought stress (Altunoglu et al. 2016). In this study, we isolated another DHN gene, CsLEA11, and examined its expression under heat and cold stress. Recombinant CsLEA11 protein was expressed and purified from E. coli. E. coli overexpressing CsLEA11 showed significantly improved tolerance to heat and cold stress. The effect of CsLEA11 protein on LDH activity under heat stress was also examined in vitro.

Materials and methods

Plant materials and treatments

Two-week-old cucumber (Cucumis sativus L. cv. Chinese long No. 9930) seedlings were grown in a growth chamber under a long-day (16 h of light/8 h of dark) photoperiod at 400 µmol m−2 s−1 light intensity and a relative humidity of 60–70%. For heat and cold treatment, cucumber seedlings in the growth chamber were subjected to 42 and 4 °C under normal light conditions. The leaf tissues were harvested from seedling samples at 0, 3, 6, 12 and 24 h, frozen in liquid nitrogen immediately, and stored at −80 °C until use.

Isolation and sequence analysis of CsLEA11

Total RNA was extracted from leaves using Trizol reagent according to the manufacturer’s instructions (Tiangen, China). The quality of the extracted RNA was examined by agarose gel electrophoresis. The first strand cDNA was synthesized using the Superscript™ III RNase H-Reverse Transcriptase kit (Invitrogen, USA). The full-length cDNA sequence of CsLEA11 was amplified using gene-specific primers designed according to the cucumber genome initiative (CuGI, http://cucumber.genomics.org.cn, Gene ID: Csa020767), and NCBI database (GenBank Accession Number: XM_004150027.2). The PCR product was cloned into the pGEM-T (Promega, USA) and subsequently sequenced.

The theoretical pI, MW and the grand average of hydropathy index (GRAVY) of the deduced CsLEA11 protein were predicted by the ProtParam program (http://web.expasy.org/protparam). The prediction of protein secondary structure and intrinsic disorder in the deduced CsLEA11 protein was performed by the PHYRE2 protein fold recognition server (http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index). The multiple sequence alignments of CsLEA11 and other dehydrin proteins were performed with Clustal W software (Larkin et al. 2007). A phylogenetic tree was then constructed with the MEGA 5.0 software by the neighbor-joining method with 1000 bootstrap replicates (Tamura et al. 2007).

Quantitative real-time PCR (qRT-PCR)

Quantitative real-time PCR (qRT-PCR) was performed with SYBR premix Ex Taq kit (TaKaRa, Japan) according to the manufacturer’s instructions. Amplification was carried out on the LightCycler 480 System (Bio-Rad, USA). Each PCR mixture was composed of 10 μL of 1× SYBR premix Ex Taq, 0.1 μL of reverse and forward primers (0.5 μM each) and 2 μL of cDNA, and was added up to 20 μL with nuclease-free water. The procedure was implemented as follows: 94 °C for 5 min, followed by 40 cycles of 94 °C for 5 s, 55 °C for 10 s, and 72 °C for 15 s. The relative expression level was calculated using the 2−ΔΔCT method (Livak and Schmittgen 2001), and the CT values were obtained from three independent biological replicates. An endogenous actin gene (CsAct3, GenBank Accession Number: DQ115883) was used as an internal reference (Wan et al. 2010). The primers are listed in Table 1.
Table 1

Sequences of primers used for qRT-PCR analysis

Primer

Sense (5′ → 3′)

Antisense (5′ → 3′)

CsLEA11

CGAGCAGTTCCAGCTCTA

CTTCCGGTTAACTTCTCCTT

CsActin

GAATCCAGCACGATACCA

TCAACCCAAAGGCTAACA

Induction and expression of CsLEA11 protein

To amplify the coding sequence of CsLEA11, the primers 5′-aaaaGGATCCATGGCGAATGTACGCGATGAG-3′ (BamH I restriction site underlined) and 5′-aaaaAAGCTTATGATGGTGGCCAGGTAATTTC-3′ (Hind III restriction site underlined) were designed. PCR amplification was conducted using the following protocol: pre-denaturation for 5 min at 94 °C, 30 cycles at 94 °C for 30 s, 58 °C for 30 s, 72 °C for 30 s, followed by 1 cycle at 72 °C for 10 min. Then the PCR product was cloned into pET32a, the resulting construct (pET32a-CsLEA11) was confirmed by sequencing and transformed into the E. coli host strain BL21 (DE3). The cells with pET32a-CsLEA11 and pET32a plasmids were induced with IPTG (1 mM) at 37 °C for 4 h and analyzed by SDS-PAGE as previously described (Zhou et al. 2017).

Assay of heat and cold stress tolerance of E. coli transformants

Stress tolerance assays were performed to detect the effect of CsLEA11 on E. coli viability under heat and cold stress conditions. IPTG induction and cell cultures were prepared as described above until the optical density (OD600) was adjusted to 0.6. Subsequently, 2 mL of the IPTG-induced transformant strains were inoculated into 50 mL fresh liquid LB with 1 mM IPTG and 50 μg/mL ampicillin, and the initial concentration was adjusted to the same OD600 for each stress. E. coli cells containing pET32a-CsLEA11 and pET32a (as a control) were named as BL/CsLEA11 and BL/pET32a, respectively. For heat stress, 1 mL of culture medium was incubated at 50 °C for different periods of time (10, 20, 30, 40 and 50 min), and then 100 μL of dilution (1:10) was spread onto LB agar plates with 1 mM IPTG and 50 μg/mL ampicillin. The cold stress tolerance assay of E. coli transformants was performed using the method of a previous study (Hu et al. 2016). In brief, a 1-mL aliquot of the BL/CsLEA11 and BL/pET32a cells was frozen in liquid nitrogen for 1 min, and then thawed for 15 min at 37 °C, which made a cycle. The aliquots were taken after 3, 6, 9, 12 and 15 cycles, respectively, and then 100 µL of dilution (1:10) was spread onto LB agar plates with 1 mM IPTG and 50 μg/mL ampicillin. After incubation overnight at 37 °C, the cell viability was calculated by counting the number of colony-forming units as previously described (Zhou et al. 2017).

LDH activity assay

The LDH enzyme (EC1.1.1.27) from muscle lactate (Sigma, USA) was diluted to a final concentration of 1 mg/mL in phosphate buffer saline (PBS). The thermal treatment and measurement of LDH activity were carried out according to the previously published method (Zhou et al. 2017). The purified CsLEA11 protein was added to LDH at the mass ratio of 1:5, and PBS and BSA were used as negative and positive controls, respectively. Each experiment was performed in triplicate.

Statistical analysis

All statistical analyses were performed using the Statistical Package for Social Sciences (SPSS 19.0) with Student’s t test in a two-tailed analysis, and statistical significance was set at *P < 0.05 and **P < 0.01.

Results

Clone and sequence analysis of CsLEA11

A 846-bp cDNA fragment containing a 489-bp ORF was amplified from cucumber leaves by semi-quantitative RT-PCR. A sequence of 1614 bp was obtained from cucumber genomic sequence, which consists of two exons and one intron. This gene encodes a protein of 162 amino acids with a predicted theoretical isoelectric point and molecular weight of 8.11 and 17.47 kDa, respectively. According to a previous study, this gene was named as CsLEA11 (Altunoglu et al. 2016).

The CsLEA11 protein contains three Y-segments, one S-segment, and two K-segments. Therefore, it was classified as a Y3SK2-type DHN (Fig. 1). The CsLEA11 protein was rich in hydrophilic amino acids such as Thr (13.0%), Gly (10.5%), Ser (9.3%), Glu (8.6%), Lys (8.0%), and His (7.4%), but was lack of the hydrophobic amino acids Cys and Trp. The grand average of hydropathicity (GRAVY) of the deduced CsLEA11 protein was −1.230, indicating that it is strongly hydrophilic. In addition, in silico prediction with a protein secondary structure and intrinsic disorder tool (PHYRE2) suggested that over 84% of the amino acid residues of CsLEA11 were disordered, and CsLEA11 harbored 13% of alpha helices, which are mainly present in the two K-segments (Fig. 1). These results suggested that CsLEA11 is an intrinsically disordered protein (IDP).
Fig. 1

Deduced amino acid sequence of CsLEA11. The Y-, S- and K-segments are boxed by purple, green and black, respectively

Sequence alignment of the deduced amino acid sequence of CsLEA11 with that of other DHNs indicated that it was homologous to sequences from Cucumis melo (XP_008460975.1, 86.5% identity), Dorcoceras hygrometricum (KZV53366.1, 53.8% identity), Morus notabilis (XP_010105346.1, 53.1% identity), Vitis vinifera (VvDHN4, XP_002283605.1, 49.7% identity), and Manihot esculenta (AGC51773.1, 48.9% identity). Sequence alignment results of CsLEA11 and these closely related DHNs are shown in Fig. 2, which further confirmed that CsLEA11 is a Y3SK2-type DHN protein. In addition, both the Y- and K-segments were slightly different from the reported consensus sequences (DEYGNP and EKKGIMDKIKEKLPG, respectively) with a few conservative substitutions (Fig. 2).
Fig. 2

Sequence alignment of CsLEA11 protein with homologs from other plant species performed with the NCBI database. Accession Numbers are as follows: Vitis vinifera (XP_002283605.1), Cucumis melo (XP_008460975.1), Manihot esculenta (AGC51773.1), Morus notabilis (XP_010105346.1), and Dorcoceras hygrometricum (KZV53366.1). The multiple amino acid sequence alignment reveals the common features of CsLEA11 and other DHNs, such as the Y-, S- and K-segments, which are boxed

In order to evaluate the molecular evolutionary relationships between CsLEA11 and DHN proteins from other plant species, a phylogenetic tree was constructed (Fig. 3). The results showed that these DHNs could be divided into five groups: YnSKn, YK, SKn, Kn, and KS. CsLEA11 shares high genetic homology with two Arabidopsis genes At4g39130 and At2g21490, which belong to the YK and YnSKn group, respectively (Fig. 3).
Fig. 3

Phylogenetic tree of amino acid sequences from CsLEA11 and DHNs from other plant species including Arabidopsis and barley. The tree was constructed with MEGA 5.0 program using neighbor-joining method with 1000 bootstrap replicates. The amino acid sequences used to generate the phylogenic tree were listed in Additional file 1: Table S1

Transcript analysis of CsLEA11 under heat and cold stress

To determine the expression of CsLEA11 under heat and cold stress, the transcript of CsLEA11 was analyzed by qRT-PCR. Under heat stress, the transcript level of CsLEA11 first increased with time and peaked at 6 h (35.6-fold), then decreased to 11.0-fold at 12 h, and was finally detected to be 22.6-fold at 24 h. However, contrary to the case of heat stress treatment, the transcripts of CsLEA11 under cold stress decreased with time until 6 h, reached the maximum level at 12 h (12.7-fold), and then decreased at 24 h (Fig. 4b).
Fig. 4

qRT-PCR analysis of CsLEA11 expression in the leaves of cucumber plants under heat (a) and cold (b) stress conditions. The results are the mean ± SD of three independent experiments

Induction of fusion protein of CsLEA11 in E. coli cells

The CsLEA11 protein was expressed in E. coli BL21 (DE3) and analyzed by SDS-PAGE. As shown in Fig. 5, compared with non-induced cells, cells of E. coli harboring pET32a vector (BL/pET32a) produced TrxA protein of 21.1 kDa, which is consistent with the results of previous studies (Hu et al. 2016; Zhou et al. 2017). The fusion protein presented a molecular weight of about 40 kDa, which is identical with the expected size (Fig. 5, lane 5), and this band was not detected in non-induced BL/CsLEA11 cells (Fig. 5, lane 4), indicating that the TrxA-CsLEA11 fusion protein was correctly expressed in recombinant E. coli.
Fig. 5

SDS-PAGE analysis of TrxA-CsLEA11 fusion protein in E. coli cells before and after IPTG induction. Lane 1, marker; lane 2, BL/pET32a without IPTG induction; lane 3, BL/pET32a after IPTG induction; lane 4, BL/CsLEA11 without IPTG induction; lane 5, BL/CsLEA11 after IPTG induction. The arrows indicate the protein band corresponding to the recombinant

CsLEA11 overexpression enhanced E. coli growth under heat and cold stress

To assess the effect of CsLEA11 on the growth of E. coli recombinants under heat and cold stress, BL/CsLEA11 and BL/pET32a cells were subjected to heat and cold treatment, respectively. Under normal conditions, the growth pattern of BL/CsLEA11 cells was similar to that of BL/pET32a (Fig. 6), implying that the expression of CsLEA11 protein does not affect the growth of the E. coli recombinant. Under heat treatment, the cell viability of BL/CsLEA11 and BL/pET32a cells decreased rapidly. However, the cells of BL/CsLEA11 showed greater proliferation than those of BL/pET32a at the time points of 10, 20, 30 and 40 min, and both of types of cells died at 50 min (Fig. 6a). Similar results were observed under cold treatment (Fig. 6b). After 3, 6, 9 and 12 freeze–thaw cycles, the cell viability of BL/CsLEA11 cells was about 89.5, 29.3, 15.6, and 1.1%, respectively, whereas that of the BL/pET32a cells was 50.1, 25.9, 10, and 0%, respectively. Similarly, both BL/CsLEA11 and BL/pET32a cells died after 15 freeze–thaw cycles (Fig. 6b). These results indicated that CsLEA11 confers tolerance to heat and cold stress in E. coli.
Fig. 6

Growth performance of BL/CsLEA11 and BL/pET32a cells under heat (a) and cold treatments (b). Error bars represent standard deviations generated from three replicate trials

CsLEA11 protected LDH enzyme activity under heat stress

LDH activity was used as a marker to evaluate the protective effect of CsLEA11 against heat stress. As shown in Fig. 7, the activity of LDH sharply decreased after treatment at 65 °C for 15 min or 30 min with or without CsLEA11. In contrast to that of negative control (PBS), the loss of LDH activity in the presence of CsLEA11 and positive control (BSA) was much slower. After the treatment at 65 °C for 15 min, the LDH activity decreased to 16.9, 55.4 and 48.8% of its initial value in the presence of PBS, BSA and CsLEA11, respectively. Additionally, LDH activity with PBS decreased to 15.0%, whereas it remained to be 30.0 and 28.2% of its initial value upon incubation for 30 min in the presence of CsLEA11 and BSA, respectively. Under heat stress, although the LDH activity in the presence of CsLEA11 also decreased, it was still 2.9- and 1.9-fold that in the presence of PBS at 15 and 30 min, respectively (Fig. 7). These results revealed that just like BSA, CsLEA11 can also efficiently protect LDH activity under heat stress.
Fig. 7

Protection of LDH activity by CsLEA11 protein from inactivation under heat stress. The relative activity of LDH during heating at 65 °C for 15 and 30 min. The LDH activity and standard deviations are based on three independent experiments

Discussion

Over the past few decades, numerous DHN genes have been identified in various plant species, and were demonstrated to play important roles in abiotic stress tolerance (Banerjee and Roychoudhury 2016; Liu et al. 2017). In this study, a DHN gene named CsLEA11 was for the first time isolated and characterized from C. sativus. Sequence alignment and phylogenetic analysis indicate that CsLEA11 belongs to the Y3SK2 group. Gene expression analyses are important for the revealing of gene functions. There are increasing evidences showing that DHN genes are regulated by various abiotic stresses including heat and cold (Lv et al. 2017; Wahid and Close 2007; Yang et al. 2012). In this study, the transcription of CsLEA11 was induced by heat and cold treatments (Fig. 4), implying a positive correlation between CsLEA11 and tolerance to heat or cold stress.

Heterologous expression is an easy and effective method to investigate the function of a protein in vivo with less time, energy and resources (Jabeen et al. 2017; Wang et al. 2017). Several recent studies have investigated the overexpression of DHN genes in E. coli cells to reveal their possible functions under stress conditions. For example, heterologous expression of CarDHN from Cerastium arcticum in E. coli resulted in increased intrinsic tolerance to cold stress (Kim et al. 2013). Overexpression of a dehydrin-like protein gene AmCIP from Ammopiptanthus mongolicus conferred cold stress tolerance to E. coli (Shi et al. 2016). A recent study reported that the E. coli cells expressing some Pinus tabuliformis DHN proteins showed enhanced viability and tolerance under salt and heat stress (Gao and Lan 2016). Another report also revealed that overexpression of Dofdehydrin-1 from Dendrobium officinale enhanced E. coli viability under salt and heat stress (Ling et al. 2016). Very recently, Bao et al. (2017) reported that the expression of nearly all of the Prunus mume dehydrins improved osmotic and cold resistance of the recombinant E. coli. In this study, recombinant E. coli cells overexpressing CsLEA11 showed higher cell viability than the control under heat and cold stress (Fig. 6), which is in agreement with previous results, implying that CsLEA11 might participate in adaptive responses to heat and cold stress.

A number of studies have demonstrated that many DHNs lack Cys and Trp residues and are rich of charged and polar amino acids (Close 1996; Jing et al. 2016; Yang et al. 2015). CsLEA11 also has these properties, which make it unstructured and highly hydrophilic, suggesting that it is an IDP (Fig. 1) (Dyson and Wright 2005). Because IDPs are lack of a unique and well-defined protein structure, they can function in the protection of other cellular proteins and stabilization of plant outer and organellar membranes under stress conditions (Jha et al. 2012; Rahman et al. 2010; Uversky and Dunker 2010). It has been shown that some DHNs can prevent the inactivation of malate dehydrogenase (MDH), LDH, alcohol dehydrogenase (ADH), catalase or citrate synthase (CS) enzymes under diverse stress conditions in vitro (Drira et al. 2013; Kovacs et al. 2008; Shi et al. 2016; Yang et al. 2015). For example, wheat DHN-5 is able to protect the activities of LDH, β-glucosidase and glucose oxidase from the adverse effects induced by cold and heat (Brini et al. 2010; Drira et al. 2013). Arabidopsis ERD10 (At1G20450) and ERD14 (At1G76180) were found to prevent the heat-induced aggregation and denaturation of lysozyme, alcohol dehydrogenase, firefly luciferase and citrate synthase (Kovacs et al. 2008). Another Arabidopsis dehydrin AtHIRD11 (At1G54410) can even reactivate the LDH inhibited by Cu2+ through removing Cu2+ from the active site (Hara et al. 2016). In the present study, CsLEA11 could protect the activity of LDH from heat-induced inactivation (Fig. 7). Similar results were also observed for DHN-5 (Brini et al. 2010) and WZY2 from wheat (Yang et al. 2015), and SbDhn2 from sorghum (Halder et al. 2016). Hence, CsLEA11 can protect E. coli exposed to heat and cold stress, probably via protection of some stress-related proteins from inactivation under stress conditions.

In conclusion, we have cloned and characterized a DHN gene named CsLEA11 from C. sativus. The expression of CsLEA11 is observably up-regulated by heat and cold treatment, and overexpression of CsLEA11 improves the growth performance of E. coli cells under heat and cold stress conditions. In addition, CsLEA11 protein can protect LDH activity in vitro from heat-induced inactivation. Our results show that CsLEA11 may have a potential in genetic improvement for plants to adapt to heat and cold stress.

Notes

Abbreviations

LEA: 

late embryogenesis abundant

DHN: 

dehydrin

LDH: 

lactate dehydrogenase

E. coli : 

Escherichia coli

qRT-PCR: 

quantitative real-time PCR

PBS: 

phosphate buffer saline

IDP: 

intrinsically disordered protein

Declarations

Authors’ contributions

YZ, PH, YY, and SL conceived and designed the experiments. YZ, PH, YX, and QL performed the experiments. YZ, PH, YY, and SL performed the data analysis. YZ and SL wrote the paper. All authors read and approved the final manuscript.

Acknowledgements

We are grateful to Prof. Zuoxiong Liu (Huazhong Agricultural University) for critical reading of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article.

Consent for publication

This article does not contain any individual person’s data.

Ethics approval and consent to participate

This article does not contain any studies with human participants or animals performed by any of the authors.

Funding

This work was funded by the Key Project of Youth Science Foundation of Jiangxi Province (20171ACB21025), the Special Funds for Collaborative Innovation of Jiangxi Modern Agricultural Scientific Research (JXXTCX2015005-002), and the Science and Technology Project of Jiangxi Provincial Department of Education (GJJ150400).

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Authors’ Affiliations

(1)
Department of Biochemistry and Molecular Biology, College of Science, Jiangxi Agricultural University, Nanchang, China
(2)
Department of Horticulture, College of Agronomy, Jiangxi Agricultural University, Nanchang, China
(3)
Economic Specialty Station of Wucheng District, Jinhua, China

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