Abstract
JAZ (Jasmonate ZIM-domain) proteins play pervasive roles in plant development and defense reaction. However, limited information is known about the JAZ family in Camellia sinensis. In this study, 12 non-redundant JAZ genes were identified from the tea plant genome database. Phylogenetic analysis showed that the 12 JAZ proteins belong to three groups. The cis-elements in promoters of CsJAZ genes and CsJAZ proteins interaction networks were also analyzed. Quantitative RT–PCR analysis showed that 7 CsJAZ genes were preferentially expressed in roots. Furthermore, the CsJAZ expressions were differentially induced by cold, heat, polyethylene glycol (PEG), methyl jasmonate (MeJA), and gibberellin (GA) stimuli. The Pearson correlations analysis based on expression levels showed that the CsJAZ gene pairs were differentially expressed under different stresses, indicating that CsJAZs might exhibit synergistic effects in response to various stresses. Subcellular localization assay demonstrated that CsJAZ3, CsJAZ10, and CsJAZ11 fused proteins were localized in the cell nucleus. Additionally, the overexpression of CsJAZ3, CsJAZ10, and CsJAZ11 in E. coli enhanced the growth of recombinant cells under abiotic stresses. In summary, this study will facilitate the understanding of the CsJAZ family in Camellia sinensis and provide new insights into the molecular mechanism of tea plant response to abiotic stresses and hormonal stimuli.
Keywords: Camellia sinensis, JAZ, abiotic stresses, expression profiles
1. Introduction
Plants regulate their growth and developmental processes to adapt to various internal and external stimuli [1]. Phytohormones, a diverse group of signaling molecules found in small quantities in cells, including auxin (IAA), abscisic acid (ABA), ethylene (ET), gibberellins (GAs), salicylic acid (SA), methyl jasmonate (MeJA) and jasmonates (JAs) play critical roles in mediating these responses. Thus, phytohormones are considered as the most important endogenous substances for modulating physiological and molecular responses, which is essential for sessile plant growth and development [2]. Jasmonates, including JA and its bioactive derivatives, regulate many aspects of plant vital activities, such as growth, development, and defense [3,4]. Within the JA-triggered signaling transduction, the JAZ proteins play a centric role [5].
JAZ proteins are members of the plant-specific TIFY family that contained a conserved TIF[F/Y]XG sequence within the ZIM (also known as TIFY) motif near its N-terminal [6]. The other trait of JAZs is the highly conserved JAZ (also known as CCT_2) motif [7]. The JAZ motif serves as a protein–protein interaction surface, which is a requisite for the suppression of COI1 and MYC2 [4]. It has been reported that the JA signaling molecules, SCFCOI1 complex, Jasmonate-ZIM (JAZ) domain repressor, and MYC2 transcription activator are involved in the JA signaling pathway and could interact with each other during the JA signaling process [8]. In response to stimuli, plant cells accumulate JA, which accelerates the combination of JAZ proteins and SCFCOI1. The JAZ proteins are then ubiquitinated and alternatively degraded by 26S protease. Therefore, the JA response genes can transcript after the inhibition [9,10]. Thus, the COI1–JAZ–MYC2 model has been considered as the first central signal module in the JA pathway. In another model, the JAZ proteins recruit the repressors TPL (TOPLESS) and TPRs (TPL-related proteins) via an adaptor protein NINJA (novel interactor of JAZ) to repress the expressions of transcription factors (TFs) in the absence of the stimulation. Moreover, the JAZ proteins containing EAR motifs can recruit TPL independent of NINJA [11]. Additionally, JAZ proteins are also involved in other plant hormone biosynthesis or signaling pathways such as gibberellic acid, auxin, ethylene, and salicylic acid (SA) [12]. Thereby JAZ proteins are involved in the repression of multiple TFs and then inactivate their downstream responses, respectively [7,12,13].
Previously, 12, 15, 30, and 14 JAZ genes were found in Arabidopsis thaliana [14], rice [6], upland cotton [15], and wheat [10], respectively. In addition, the JAZs within a species have different biological functions. For example, JASMONATE-ASSOCIATED1 (JAS1), also known as JAZ10, could be induced by mechanical wounding via a COI1-dependent way in Arabidopsis [16]. Besides, AtJAZ10 has been reported as a negative regulator not only in JA signaling but also in disease symptom development [17]. In addition, AtJAZ2 was found to express only in stomata in which it triggered stomatal closure to prevent pathogen penetration [18]. OsJAZ9 was acted as a transcriptional regulator in jasmonate signaling and could modulate salt stress or potassium deficiency tolerance in rice [19,20]. Otherwise, overexpression of GhJAZ2 inhibited lint and fuzz fiber initiation and led to reduced fiber length [21]. TaJAZ1 negatively regulated abscisic acid (ABA)-mediated seed germination inhibition and ABA-responsive gene expression and increased powdery mildew resistance in bread wheat [22,23]. Overexpression of GsJAZ2, a novel JAZ family gene from Glycine soja, could enhance Arabidopsis tolerance to salt and alkali stresses [24]. NaJAZh had been found to regulate a subset of defense response genes to resist herbivores and spontaneous leaf necrosis, while NaJAZd protein was essential for counteracting flower abscission in Nicotiana attenuata plants [25,26]. The PnJAZ1 confers moss salinity tolerance through the abscisic acid signaling pathway [27]. Overexpression of JAZ4 from wild grape in Arabidopsis improved resistance to powdery mildew through SA and/or JA signaling pathways [28]. In summary, JAZ genes presented important roles in regulating the adaptation or defense of biotic and abiotic stresses to maintain plant growth.
Tea plants (Camellia sinensis (L.) O. Kuntze) are crucial commercial perennial woody crops, which are widely cultivated in the world. Tea plants are grown in the tropic or subtropics areas [29,30]. Tea plants can easily be exposed to a variety of environmental stress factors such as extreme temperatures, high salt, and drought, which affect plant growth and development. Since jasmonate plays a critical role in modulating plant defenses, it is important to understand JA-mediated processes that contribute to tea plant stress tolerance. The released tea genome would allow us to conduct a genome-wide identification and analysis of the JAZ gene family in this woody species. In this study, we performed a bioinformatics analysis of the JAZ gene family in Camellia sinensis. Phylogenetic relations of the members of JAZ family, conserved domains and motifs, the transcriptional expression profiles of the Camellia sinensis JAZ genes in response to adversity stresses and hormones were analyzed. We also examined the subcellular localizations of three JAZ genes, CsJAZ3, CsJAZ10, and CsJAZ11 in onion cells, and growth conditions of overexpression cells of these three genes under the abiotic stresses. This study lays a theoretical foundation for further exploration of the function of tea CsJAZ genes and may provide a new perspective for resistance breeding in tea plants.
2. Results
2.1. Genome-Wide Identification of JAZ Genes in Camellia Sinensis
To identify JAZ-related proteins in Camellia sinensis, the HMMER profiles of the TIFY domain (PF06200) and Jas domain (PF09425) was implemented against the genomes of the genome data of Shucahzao and Yunkang 10. After retrieving the database, a total of 12 full-length protein sequences were obtained. These genes were further analyzed using SMART and CD-search to ascertain the presence of TIFY and JAZ domains in the generated amino acid coding sequences. The length of encoded proteins ranged from 136 (CsJAZ6) to 436 (CsJAZ7) amino acid residues, and the molecular weight was distributed from 15.60 (CsJAZ6) to 46.21 (CsJAZ7) kDa. The isoelectric point (pI) of ten CsJAZ proteins was alkaline (pI > 7.0), while the other two proteins (CsJAZ1 and CsJAZ5) were acidic (pI < 7.0). The GRAVY scores indicated that all CsJAZ were hydrophilic proteins (GRAVY < 0; Table S1).
2.2. Phylogenetic Analysis and Sequence Alignment of CsJAZ
The full-length JAZs of Arabidopsis thaliana, Oryza sativa, Vitis vinifera, Populus trichocarpa, Gossypium raimondii, and Camellia sinensis were used to conduct a multiple sequence alignment, and a phylogenetic tree was constructed. The N-J tree was built using MEGA 7.0 software, and the reliability was tested by bootstrap analysis for 1000 replicates. As shown in Figure 1, all the JAZ proteins derived from different plants were clustered into three groups (Groups I–III). The twelve Camellia sinensis CsJAZs were clustered into three branches. Group I contained the maximal number of CsJAZ proteins, including CsJAZ1, CsJAZ5, CsJAZ7, CsJAZ8, CsJAZ9, and CsJAZ12. Group Ⅱ consisted of CsJAZ2, CsJAZ4, and CsJAZ6, while group III comprised CsJAZ3, CsJAZ10, and CsJAZ11. Interestingly, we found that the CsJAZ proteins clustered into the same clades with PtJAZ, VvtAZ, AtJAZ, or GrJAZ proteins rather than with OsJAZ proteins. The result revealed that the CsJAZ proteins shared high similarity with those in Populus trichocarpa, Vitis vinifera, Arabidopsis thiatina, Gossypium raimondii than those in Oryza sativa, which is consistent with the fact that the former five and tea plants are dicots and diverged more recently from a common ancestor than from the lineage leading to monocots.
The mode of amino acid residue conservation in all CsJAZ proteins were analyzed. The result showed that the 12 CsJAZs only represented 21.59% amino acid identity (data not shown), and the N-terminal and C-terminal regions of the CsJAZs were highly divergent (Figure S1). In the N-terminal of CsJAZ proteins, all CsJAZs members shared a conserved T(I/L)(F/S)(Y/F) sequence. Moreover, the multi-sequence alignments of identified JAZ proteins revealed that the amino acid sequence “TIFY” was changed into “TLSF” in CsJAZ1 and CsJAZ5. Besides the TIFY domain, the JAZ domains were also conserved, although there were different gene lengths and great sequence polymorphisms. As shown in Figure S1, α-helix regions of the JAZ domain were relatively conserved, but loop regions varied in all the tested JAZ genes. CsJAZ2 had a short conserved LPIARR motif, which has been reported to seal JA-Ile into its binding pocket at the COI1-JAZ interface. CsJAZ11 contained the canonical C-terminal end (IARR) of the motif that contact JA-Ile but lack the N-terminal (LP). Additionally, CsJAZ6 lacked the LPIARR motif and contained an EAR motif in the N-terminal.
2.3. Gene Structure and Conserved Motifs of CsJAZ Proteins
To further examine the structural characteristic of the CsJAZ gene family, exon-intron distribution and conserved motifs were analyzed. The number of introns and exons in CsJAZ genes varied from 3 to 7, and 3 to 10, respectively (Figure S2). Particularly, five, three, two, and two genes had four, five, seven, and three introns, respectively. It is noteworthy that closely related genes in the phylogenetic tree had similar gene structural components, suggesting functional similarity within subgroups.
A total of 16 conserved motifs (Figure S3A) in the 12 CsJAZ proteins were detected using the MEME web server. In general, JAZ proteins clustered in the same subgroups shared similar motif compositions, indicating functional similarities among members of the same subgroup. Motifs 1 and 2 contained JAZ (Figure S3B) and TIFY (Figure S3B) domains, respectively, and were found in all CsJAZ proteins. Motif 3 also appeared in all CsJAZ proteins. From Figure S3, we could clearly find that some motifs were present in different regions of the protein members in different groups. For example, Motif 5 was located on the right position of Motif 2 in CsJAZ1, CsJAZ3, CsJAZ5, and CsJAZ10. However, it was distributed on the left position of Motif 2 in CsJAZ2, CsJAZ4, CsJAZ7, CsJAZ8, and CsJAZ12. Motifs 4 and 6 were specifically distributed in the N-terminal regions of the corresponding proteins. Motifs 7, 8, 10, 11, 12, 13, 14, and 15 were found distributed in N-terminal or C-terminal regions in different group members. Motifs 9 and 16 were mainly distributed in the C-terminal regions of the corresponding proteins, except CsJAZ5 and CsJAZ9. The differences in motif distribution among the subgroups of JAZ genes revealed that the functions of these genes might have diverged during evolution.
2.4. Putative cis-Acting Regulatory Elements in the Promoter Region of CsJAZ Genes
To obtain the information about the cis-acting regulatory elements of CsJAZ gene family, the putative promoter region sequence of each CsJAZ gene was analyzed. A total of 40 types of putative cis-acting regulatory elements were identified in CsJAZ genes, which were involved in 17 functions (Figure 2A). These regulatory elements included the TC-rich repeat element involved in defense and stress responsiveness, the LTR element involved in low-temperature responsiveness, MYB-binding sites (MBS) involved in drought-inducibility, the MYB binding site (MRE) and ACE involved in light responsiveness, the MYB binding site (MBSI) involved in flavonoid biosynthetic gene regulation, the ABRE associated with ABA signaling pathway, AuxRR-core and TGA elements related to Auxin-responsiveness, TCA-elements involved in salicylic acid-responsive elements, CGTCA and TGACG motifs involved in MeJA responsiveness, P-box, TATC-box, and GARE-motif involved in gibberellin-responsive. The type and number of cis-acting regulatory elements in the promoter region of each CsJAZ gene were different (Figure 2B, Table S2). For instance, the LTR element was only found in the promoter regions of CsJAZ3, CsJAZ7, and CsJAZ9. MBS was found in the promoter regions of CsJAZ1, CsJAZ5, CsJAZ6, CsJAZ8, CsJAZ11, and CsJAZ12. TGA-elements were presented in the promoter regions of CsJAZ3 and CsJAZ4, while AuxRR-core was only presented in promoter regions of CsJAZ11. Noteworthy, MBSI was found in the promoter regions of CsJAZ11 (Table S2). These showed that the different members of the CsJAZ gene family might be involved in different abiotic stresses.
2.5. Functional Analysis and Interaction Networks of CsJAZ Proteins
GO database revealed that the JAZ genes are involved in the two main categories (cellular component and biological process). GO terms from “cellular component” contained “nucleus”. GO terms from “biological process” were involved with five processes response to stimuli, including defense response (GO0006952), jasmonic acid-mediated signaling pathway (GO0009867), regulation of defense response (GO0031347), regulation of signal transduction (GO0009966), and response to wounding (GO0009611) (Table S3). In addition, all CsJAZ proteins were investigated in an Arabidopsis association model in STRING software to identify the functional interactions (Figure S4). Protein interaction analysis indicated that twelve CsJAZ proteins interacted with each other. They could also interact with other genes with regulation function, such as MYC2, MYC3, and COI1 (Figure S4).
2.6. Expression Analysis of CsJAZ Genes in Different Tissues
Generally, all the CsJAZ genes were expressed in roots, mature leaves, stems, and tender leaves (Figure 3). Most CsJAZ genes showed higher expression in roots than that in leaves and stems. Moreover, six genes (CsJAZ2, CsJAZ3, CsJAZ4, CsJAZ6, CsJAZ8, CsJAZ9, and CsJAZ11) were highly expressed in the root and four genes (CsJAZ5, CsJAZ7, CsJAZ10, and CsJAZ12) were highly expressed in both the root and one or two of the other three tissues, while CsJAZ1 was highly expressed in tender leaves and other tissues. Interestingly, further analysis showed a relative relationship between the tissue expression and evolution of CsJAZ genes. For example, CsJAZ2, CsJAZ4, and CsJAZ6 in Group Ⅱ showed similar gene expression patterns, indicating that these gene expression levels were higher in stem than in leaves. CsJAZ7 and CsJAZ12 in Group I showed a similar gene expression patterns, indicating that these gene expression levels were lowest in mature leaves. Interestingly, genes CsJAZ1, CsJAZ5, and CsJAZ9 in Group I had close phylogenetic relationships and inconsistent tissue expression patterns with each homologous gene pair. These results suggest that CsJAZ genes have different expression patterns and tissue specificity.
2.7. Expression Analysis of CsJAZ Genes under Abiotic Stresses
In this study, the expression patterns of the CsJAZ genes were detected by qRT–PCR, and the results revealed obvious differences under low temperature, high temperature, water deficit (10% PEG 6000), and MeJA and GA treatments with different exposure time. We noticed that the CsJAZ genes were regulated at the transcriptional level by the low temperature (4 °C; Figure 4A). For example, the transcriptional levels of CsJAZ2, −3, −4, −6, −10, and −11 were highly upregulated at each time point of the cold stress and exhibited several fold upregulation compared to the control. Except for CsJAZ4, these upregulated CsJAZ genes showed the highest transcript levels at 4 h and exhibited a steady decrease expression from 4 to 36 h. CsJAZ4 showed the highest transcript level at 12 h. CsJAZ5, −7, −8, and −12 genes showed a steady decrease expression from 4 to 12 h and then an increasing expression from 12 to 36 h. These results suggest that the highly upregulated JAZ genes in tea plants might be related to cold tolerance.
Under high-temperature stress (42 °C), most of the CsJAZ genes were acutely down- or upregulated in response to heat stress (Figure 4B). Four genes, including CsJAZ3, −6, −10, and −11 genes were highly upregulated at each time point. There also existed four genes, CsJAZ1, −5, −7, and −12, the expression patterns of which showing an initial decrease then increase tendency throughout the high-temperature treatment period. These four genes presented the lowest transcript levels at 12 h and showed the highest levels at 36 h. CsJAZ8 also showed an initial decrease, then subsequent increase tendency throughout the high-temperature treatment period, although the level of the upregulation was only about half as high as the control at 36 h. CsJAZ2 and 4 showed the highest transcript levels at 4 h and exhibited a steady decrease from 4 to 36 h, and the expression levels were lower than the control.
Under the water deficiency, which was simulated by PEG treatment, we observed that most of the CsJAZ genes exhibited an initial decrease then increase tendency throughout the PEG treatment period (Figure 4C). These genes were CsJAZ3, −6, −7, −8, −9, −10, and −12. Except for CsJAZ8, the other six genes showed the highest levels at 36 h. However, the expression level of CsJAZ8 was lower than the control at 36 h. For CsJAZ5, the highest expression level was at 12 h. CsJAZ1 and −2 were upregulated to lower levels in response to water deficit stress during the PEG treatment period. For CsJAZ4 and −11, the expression levels increased from 0 to 4 h and then decreased from 4 to 12 h. After that, their expressions increased from 12 to 36 h again, and the levels were higher than the control at 36 h.
Following treatment with MeJA, JAZ genes in tea plants showed variable transcript abundance at different time points (Figure 4D). Most JAZ genes were rapidly upregulated and subsequently downregulated after receiving exogenous MeJA signals. Among the JAZ genes in tea plants, CsJAZ4 and −11 displayed the most prominent changes in expression levels. The expression levels of JAZ4 and −11 were upregulated more than 50-fold within 12 h of MeJA treatment and subsequently returned to a relatively lower level at 36 h after MeJA treatment. Strains of JAZ genes, such as CsJAZ2, −3, −6, −9 and −10 showed the same response pattern as CsJAZ4 and −11, but their upregulation degrees were smaller than that of CsJAZ4 and −11. In contrast, four JAZ genes, including CsJAZ1, −5, −7, and −12 displayed a low degree of expression fluctuation and variable expression after MeJA treatment. However, the expression levels of CsJAZ8 gene was downregulated after MeJA treatment.
In response to GA treatment, most of the JAZ genes, including CsJAZ4, −6, −8, −9, −10, and −11, were induced at 5 and 12 h, with the highest upregulation shown for CsJAZ11 (>17-fold) at 5 h (Figure 4E). In addition, these genes subsequently decreased over 12 to 36 h. Conversely, CsJAZ5 was downregulated completely after exogenous GA treatment. The remaining genes were upregulated at least one time point in response to GA. These revealed that all CsJAZ genes could respond to various plant hormones, and they might be involved in some complex signaling pathways.
2.8. Correlations and Coregulatory Networks of CsJAZ Genes
Co-expression network analysis is one of the powerful measures for predicting gene functions and functional modules [31]. To investigate the connections among these genes in response to LT, HT, PEG, MeJA and GA, correlation and coregulatory networks were established based on the PCCs of their relative expression levels. Significantly positive correlations between CsJAZ genes was for LT, HT, PEG, MeJA and GA treatments (Figure 5A,C,E,G,I). For example, positive correlations existed among CsJAZ2, -3, -4, -5, -6, -7, -8, -10, -11, and -12 under LT treatment (Figure 5A). However, no significantly negative correlation was observed for CsJAZ genes under LT treatment (Figure 5A). The expression of CsJAZ2 was significantly negatively correlated with CsJAZ5 under HT (Figure 5C). There was no significantly negative correlation for CsJAZ genes under PEG treatment (Figure 5E). CsJAZ2 was significantly negatively correlated with CsJAZ5 under MeJA treatment (Figure 5G). Besides, CsJAZ5 was also significantly negatively correlated with CsJAZ9 and CsJAZ11 under MeJA treatment (Figure 5G).
Subsequently, a LT-related co-regulatory network of CsJAZ genes was constructed with 20 edges and 10 nodes (Figure 5B). All these gene pairs showed positive correlations (p-value ≤0.05, and 0.5 < PCC < 1.0). Among these positive correlations, 5 gene pairs showed stronger positive correlations (p-value ≤ 0.05, and 0.8 < PCC < 1.0), including CsJAZ3 and CsJAZ10, CsJAZ3 and CsJAZ11, CsJAZ6 and CsJAZ11, CsJAZ7 and CsJAZ12, CsJAZ10 and CsJAZ11.
There were 11 nodes with 24 edges in the HT-related co-regulatory network (Figure 5D). Except CsJAZ2 and CsJAZ5 gene pairs, the other gene pairs showed positive correlations (p-value ≤ 0.05, and 0.5 < PCC < 1.0). Among the positive correlations, CsJAZ1 and CsJAZ5, CsJAZ1 and CsJAZ7, CsJAZ1 and CsJAZ12, CsJAZ2 and CsJAZ4, CsJAZ3 and CsJAZ10, CsJAZ3 and CsJAZ11, CsJAZ4 and CsJAZ6, CsJAZ5 and CsJAZ7, CsJAZ5 and CsJAZ12, CsJAZ7 and CsJAZ12, CsJAZ10 and CsJAZ11 presented stronger positive correlations (p-value ≤ 0.05, and 0.8 < PCC < 1.0).
Ten nodes with 23 edges were in the PEG-related co-regulatory network (Figure 5F), and similarly, all gene pairs showed positive correlations in the ABA-related co-regulatory networks (p-value ≤0.05 and 0.5 ≤ PCC < 1). CsJAZ1 and CsJAZ2, CsJAZ3 and CsJAZ10, CsJAZ7 and CsJAZ10, CsJAZ7 and CsJAZ11, CsJAZ7 and CsJAZ12 presented stronger positive correlations (p-value ≤0.05 and 0.8 < PCC < 1.0).
There were 12 nodes with 25 edges in the MeJA-related co-regulatory network and 11 nodes with 21 edges in the GA-related co-regulatory network. Both networks contained two modules (Figure 5H,J). CsJAZ2 and CsJAZ6, CsJAZ3 and CsJAZ10, CsJAZ3 and CsJAZ11, CsJAZ10 and CsJAZ11 also exhibited stronger positive correlations in the two coregulatory networks. In addition, the CsJAZ2–CsJAZ5, CsJAZ5–CsJAZ9 and CsJAZ5–CsJAZ11, pairs exhibited significant negative correlations under MeJA treatment (p-value ≤0.05 and PCC < -0.5).
2.9. Cloning of CsJAZ3, -10, and -11 and Subcellular Location
To investigate the reliability of identified CsJAZ genes, we used the specific primers to clone the ORF sequences of CsJAZ3, -10, and -11 and confirmed these sequences by DNA sequencing. The results showed that the ORF length and the nucleic acid constituent of CsJAZ3, -10, and -11 were in line with the data that deposited in the tea genome database (Figure S5). Subcellular localization indicated that CsJAZ3–EGFP, CsJAZ3–EGFP and CsJAZ11–EGFP fusion proteins were gathered in the nucleus (Figure 6), which is consistence with the prediction from CELLO. The finding indicated that these three JAZ proteins are nuclear localization proteins.
2.10. Overexpression of CsJAZ3, -10, and -11 in E. coli Enhanced its Growth under Abiotic Stresses
There was no obvious difference in the growth rates of the pGEX-4T-1 and pGEX-4T-1–CsJAZ3, pGEX-4T-1–CsJAZ10, and pGEX-4T-1–CsJAZ11 strains before heat treatments (0 min), indicating that CsJAZ3, CsJAZ10 and CsJAZ11 overexpression did not affect E. coli growth under normal conditions (Figure 7A). Under heat stresses, the pGEX-4T-1 E. coli survival decreased rapidly, but the CsJAZ3, CsJAZ10, and CsJAZ11-overexpressing cells were more viable than the control cells. After a 90-min heat treatment, the pGEX-4T-1 cells almost all died, whereas pGEX-4T-1–CsJAZ3, pGEX-4T-1–CsJAZ10, and pGEX-4T-1–CsJAZ11 strains cells showed better growth (Figure 7A). This observation suggests that CsJAZ3, CsJAZ10, and CsJAZ11 increased the thermotolerance of the transgenic E. coli cells.
The CsJAZ3, CsJAZ10, and CsJAZ11-expressed cells were able to endure high salt concentrations of up to 500 mM NaCl. In contrast, the growth of the control cells was inhibited at 250 mM NaCl, and at 500 mM NaCl was proved lethal to the control (Figure 7B). After 24 h of cultivation, the BL21 CsJAZ3, CsJAZ10, and CsJAZ11-expressed cells showed a faster growth rate than that of the control, which was supplemented with PEG6000 (Figure 7B). The result showed that recombinant proteins enhanced cell growth under PEG stress.
3. Discussion
Jasmonate ZIM-domain (JAZ) proteins are central in the signal transduction cascade triggered by (+)-7-iso-jasmonoyl-L-isoleucine (JA-Ile) [12]. They act as transcriptional repressors of JA-responsive genes. JAZ family has been widely reported to play an important role in the growth and developmental processes in various plant species. However, research on the JAZ gene family has not been fully explored in tea plants. In this study, a comprehensive genome-wide analysis of the CsJAZ gene family in tea plant was carried out, and the results will provide a powerful theoretical foundation for future functional studies.
Twelve CsJAZ proteins with highly conserved JAZ and TIFY domains were identified in C. sinensis. The number and length of exon and intron showed great variations in CsJAZ genes. This finding was consistent with the JAZ genes of other plants, such as upland cotton and wheat [10,15]. The structure variations of JAZ genes might be caused by structural divergence mechanisms, such as the insertion or deletion of the exons and introns proposed by Xu et al. [32]. Interestingly, most of the CsJAZs were basic proteins with pI values greater than 7, except for CsJAZ1 and CsJAZ5, which were with a pI value of 4.57 and 5, respectively. This may be because of CsJAZ1 and CsJAZ5 containing a higher proportion of acidic amino acids. In detail, 27 aspartic acids and 25 glutamic acids were in CsJAZ1, and 13 aspartic acids and 19 glutamic acids were in CsJAZ5, which were more than those present in the other CsJAZ proteins. The principle of the prediction of protein potential function depended on structural similarities. Based on homology alignments, CsJAZ members with similar motifs were classified into a group. Previous studies had reported that some Arabidopsis JAZ proteins were intertwined in protein–protein interactions and formed dimers interacting with other types of proteins [33]. For example, MYB21 and MYB24, two R2R3- transcription factors, were found to interact with JAZ1, JAZ8, and JAZ11 in both yeast and Arabidopsis [34]. Besides, the JAZ1 proteins were reported to interact with the WD-Repeat/bHLH/MYB complexes and then regulate jasmonate-mediated anthocyanin accumulation and trichome initiation in Arabidopsis [35]. According to the homology alignments analysis, CsJAZ3, -10, -11 were AtJAZ1-like protein that could interact with numerous JAZs in a predicted interactional network. The promoter analysis showed that the promoter of JAZ11 contained a flavonoid biosynthetic genes regulation element. Therefore, future functional verification of CsJAZ3, -10, -11 is needed to prove the functional interaction in flavonoid or anthocyanin accumulation.
Expression profile analyses revealed that 12 CsJAZ genes expressed in all the examined tissues. It had been reported that the JAZ genes could be widely expressed in the plant tissues. In Salvia miltiorrhiza, constitutive expression of SmJAZ1 and SmJAZ2 was detected in roots, stems, and leaves [36]. In cotton, the JAZ genes widely expressed in various tissues, including roots, leaves, petals, anthers, and early stages of developing ovules and fibers [31]. In wheat, five TaJAZ genes (TaJAZ1, -4, -10, -11, and -14) were expressed in root, stem, leave, stamen, and pistil tissues [10]. To our surprise, most CsJAZ genes showed higher expression in roots than in leaves and stems. JAZ genes also showed high expression in the roots in several other plant species. For example, the PtJAZ7, PtJAZ8, and PtJAZ12 in polar were found highly expressed in the roots [37]. In wheat, TaJAZ6 and 13 were specifically expressed in root, and the expression level of TaJAZ3 in root tissues was as high as that in stamen [10]. GhJAZ1-A/D, GhJAZ3-A/D, GhJAZ5-A/D, and GhJAZ13-A/D in the upland cotton also showed higher expression in roots than in stems or leaves [15]. These results indicated that CsJAZ genes might exert certain functions as SmJAZ1 and SmJAZ2 [36] in roots and maintain the normal development of tea plants under normal conditions. Taken together, the tissue-specific expression of CsJAZ indicated the possible roles of different group members in the various stress reaction and developmental processes.
Promoters located at the upstream of genes and play key roles in regulating the gene expression under stresses, for promoter regions contain a number of stress-related cis-elements that can combine with transcription factors [38]. To gain more insights into the function of CsJAZ genes, we analyzed the cis-acting regulatory elements composition and the expression patterns under various treatments. A number of stress-related and regulatory elements that can respond to plant hormones (IAA, ABA, MeJA, SA, and GA) abundantly enriched in CsJAZ promoters. These JAZ gene promoter regions were mainly different in the number and type of cis-acting regulatory elements. For example, the promoter region of CsJAZ11 contained three CGTCA-motif, one MBSI, and one MBS, while CsJAZ3 contained two CGTCA-motif and MBSI or MBS was an absence in it.
The promoter sequences of certain CsJAZ genes lacked some types of cis-acting regulatory elements, but the expression patterns revealed that all CsJAZ genes could respond to all five treatments. For example, we could not find high temperature response-related cis-acting regulatory elements in each CsJAZ gene of tea plants. However, the relative expression levels of all CsJAZ genes were up- or downregulated upon high-temperature stress. Similarly, the promoter region of TaJAZ genes contained no high salinity response-related cis-acting regulatory elements, but all the TaJAZ genes could respond to the high salinity treatment [10]. It was speculated that the CsJAZ genes induced by a specific stressor do not have corresponding cis-elements in their promoters. This might indicate that the gene expression level under different treatments was not only determined by the presence of relevant cis-acting regulatory elements in the promoter region, but also by other physiological pathways in tea plants.
The TIFY family genes have been proven to be important TFs with various stress resistance [17]. Specifically, the JAZ subfamily genes were the best described responsive members to stresses to date [39]. For example, rice JAZ genes were reported to be induced by abiotic stresses such as low temperature, drought, and salinity, and one of them OsTIFY11a was found to enhance stress tolerance [6]. Likewise, JAZ genes were found to show different upregulation responses to cold, salt, and drought stresses in B. rapa [40]. Like the JAZ genes responding to the stresses in other plants, almost all the CsJAZ genes identified in this study showed upregulation to cope with the cold, heat, or osmotic stresses. There were six ideal candidates of CsJAZ genes (CsJAZ2, -3, -4, -6, -10, and -11) to be involved in a rapid and intense response to low temperatures. Except for CsJAZ2, the other five, along with CsJAZ1 and CsJAZ5, also responded quickly and intensively to heat stress. CsJAZ4, -5, -7, -10, -11 and -12 showed a severe response to osmotic stress. Of the three treatments, cold stress induced relatively more fluctuations in the transcript abundance of CsJAZ genes than that induced by heat and PEG stresses. This result was different, with the findings in cotton that heat and salinity stresses induced relatively more fluctuations in the transcript abundance of GhJAZ genes than the cold and PEG stresses did [31]. In addition, the overexpression of CsJAZ3, CsJAZ10, and CsJAZ11 in E. coli enhanced recombinant cell growth under abiotic stresses including high temperature, NaCl, and PEG, which indicated that CsJAZ genes played important roles in resistance to abiotic stresses. To investigate the connections among CsJAZ genes under different stresses, co-regulatory networks were established based on the PCCs of the relative expression levels of the genes. A series of CsJAZ gene pairs showed significant expression change correlations in the LT-related, HT-related, and PEG-related co-regulatory networks. The results showed common positive correlations of CsJAZ genes under different treatments, such as correlations between CsJAZ3 and CsJAZ10, and CsJAZ7 and CsJAZ12 under LT, HT, and PEG treatments, and correlations among CsJAZ3, CsJAZ10, and CsJAZ11 under LT and HT stresses. Negative correlations between CsJAZ gene pairs were also found, such as CsJAZ2 and CsJAZ5 in the HT-related coregulatory network. Thus, the correlations among CsJAZ genes varied under different conditions, indicating that CsJAZ genes might exhibit synergistic effects in response to various stresses.
In responding to different phytohormones, JAZ genes seemed to have comprehensive regulatory impacts in various processes of plant development than those acted by other TIFY subfamily members [12]. JA treatment and environmental factors rapidly trigger JAZ gene expression, which might be responsible for moderating the response to JA [39]. Moreover, JAZ proteins also mediate JA-gibberellin (GA) and JA-ethylene (ET) synergistic crosstalk by interacting with DELLA proteins [41] or with the EIN3 and EIL1 transcription factors [42], respectively. For instance, VvJAZ4, VvJAZ5, and VvJAZ9 in Vitis vinifera were upregulated by both JA and MeJA [43]. ScJAZ1–ScJAZ7 genes in sugarcane were also induced by MeJA [44]. Likewise, the relative expression levels of most of the TaJAZ genes in Triticum aestivum were upregulated after GA treatment [10]. In our study, we found that in response to hormone treatments, most of the tea plant JAZ genes were highly upregulated after JA and GA treatments for 4 or 12 h. However, not each of these upregulated genes contained the corresponding cis-elements in their promoters like CGTCA-motif, TGACG-motif, GARE-motif, P-box, or TATC-box. For example, CsJAZ2 and CsJAZ6 did not contain cis-acting regulatory elements involved in the MeJA-responsiveness. However, they showed strong upregulation after MeJA treatment for 4 or 12 h. Similarly, CsJAZ3, CsJAZ9, and CsJAZ10 lacked a Gibberellin-responsive element, whereas they showed strong upregulation after MeJA treatment for 4 or 12 h. Therefore, we assumed that the five genes responded by other unknown regulative pathways to MeJA or GA treatments. Additionally, the coregulatory networks showed that a positive correlation between CsJAZ3 and CsJAZ10 occurred in both MeJA-related and GA-related co-regulatory networks. Nevertheless, CsJAZ11 presented no direct correlations with CsJAZ3 or CsJAZ10 in the MeJA-related co-regulatory network, whereas it presented significant positive correlations with CsJAZ3 or CsJAZ10 in the GA-related coregulatory network. It indicated that the CsJAZ genes exert similar or different functions responding to hormonal signals. In summary, we speculate that certain CsJAZ genes could respond to several different phytohormones, and they might play critical roles directly or indirectly in complex signaling pathways.
4. Materials and Methods
4.1. Identification of JAZ Genes in Camellia Sinensis
To identify JAZ genes in tea plants, the whole-genome data of Camellia sinensis var. assamica Yunkang 10 and var. cultivar Shuchazao were downloaded from the website http://www.plantkingdomgdb.com/tea_tree/ and http://tpia.teaplant.org/download.html, respectively. The hidden Markov model (HMM) profiles PF06200 (TIFY domain) and PF09425 (JAZ domain) of the JAZ family were extracted from the Pfam database (http://pfam.sanger.ac.uk). Then these two HMM profiles were used to search the local tea protein database for target hits with the TIFY and JAZ domain by HMMER 3.0 (http://hmmer.janelia.org/). All non-redundant sequences with E-values lower than 1.0E-05 were selected. And the obtained candidates were further confirmed by the SMART web server (http://smart.emblheidelberg.del) and CD-search (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi).
4.2. Phylogenetic Tree Construction and Sequence Alignment
The JAZ protein sequences of Arabidopsis thiatina, Oryza sativa, Vitis vinifera, Populus trichocarpa, Gossypium raimondii, and Camellia sinensis were aligned using DNAMAN 7.0 (Lynnon Biosoft, America), and a phylogenetic tree was established using the neighbor-joining (NJ) method in the MEGA 7.0 software program with 1000 bootstrap replicates [45]. Multiple sequence alignment of the candidate CsJAZ proteins was also performed using DNAMAN 7.0.
4.3. Characterization of CsJAZ Genes and Proteins
The intron/exon of the CsJAZs were predicted using the TBtools [46] based on the comparison of CDS and genomic sequences. The online MEME (http://meme-suite.org/index.html) program was used to analyze the conserved motif structures of the proteins encoded by the CsJAZ genes. The promoter sequences were analyzed from approximately 2 kb upstream of the transcription start site of each gene, and the cis-elements were obtained using the PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) [10]. CsJAZ proteins were annotated using BLAST against GO with an E-value threshold of 1E-5 [47]. The protein interaction networks were integrated into STRING software Version 11.0 (https://string-db.org/) [48].
4.4. Plant Materials, Growth Conditions, and Stress Treatments
One-year-old “Longjing43” tea seedlings were used as plant materials in the study. The seedlings were grown in greenhouse under 16 h light (25 °C)/8 h dark (20 °C) photoperiod, with 3600 Lx photos m−2·s−2 light intensity and 75% humidity for 2 weeks before treatment. For cold stress treatment, seedlings were transferred to a growth chamber at 4 °C and sampled at 0, 4, 12, and 36 h after treatment. Heat shock stress was applied after transfer to growth chamber at 42 °C and samples were collected at 0, 4, 12, and 36 h after treatment. For drought stress treatment, the seedlings were sprayed with 10% PEG 6000 and sampled at 0, 4, 12, and 36 h after treatment. Hormone treatments were performed with 100 µM methyl jasmonate (JAMe) and 100 µM gibberellin (GA3), respectively. Samples were collected at 0, 4, 12, and 36 h after MeJA or GA3 treatments. The tender leaf (TL), mature leaf (ML), stem (S), and root (R) of the seedlings grown under normal conditions were also sampled. For all conditions, including control, three biological replicates of each sample were collected. All samples were frozen immediately in liquid nitrogen and kept at -80 °C for total RNA extraction.
4.5. Total RNA Extraction and qRT–PCR Analysis
Total RNA was extracted from the samples according to our previous report [49]. The integrity of the RNA was assessed by 1.0% agarose gel electrophoresis. TransScript®® One-Step gDNA Removal and cDNA Synthesis SuperMix (TransGen, Beijing, China) was used for genomic DNA digestion and first-strand cDNA synthesis. The expression analysis of the 12 CsJAZ genes was performed by qRT–PCR using SYBR Premix Ex Taq II kit (Takara, Kusatsu, Japan) with the Bio-Rad IQ5 Real Time PCR System (Bio-Rad, Hercules,CA, USA). The primer pairs used for qRT–PCR are listed in Table S4. Camellia sinensis GAPDH and β-actin were used as an internal control. The qRT–PCR conditions were as follows: 95 °C for 30 s, 40 cycles at 95 °C for 5 s, 60 °C for 30 s. After amplification, the melting curve and amplification curve were checked to evaluate specific amplification. For each gene, all experiments were repeated three times per sample. Relative gene expressions were calculated using the 2−ΔΔCt method [50]. The transcripts levels are presented as the mean ± standard error mean (SEM).
4.6. Pearson Correlation Analysis
The pairwise Pearson correlation coefficients (PCCs) and p-values of CsJAZ gene expression levels were calculated and visualized using the GraphPad Prism 7 software based on the qRT–PCR results. Gene co-regulatory networks were constructed by Cytoscape (version 3.7.1, Seattle, WA, USA) based on the PCCs of CsJAZ gene pairs with a p-value significance level of 0.05.
4.7. Subcellular Localization Prediction and Confirmation
The subcellular localization of the CsJAZ proteins was predicted using CELLO v.2.5 (http://cello.life.nctu.edu.tw/). For testing of the predicted nuclear localization, the full-length sequence of CsJAZ3, CsJAZ10, and CsJAZ11 gene without the stop codon were amplified (primers were listed in Table S4) and then inserted into EGFP-fusion expression vector pCAMBIA 2300 using Trelief™ SoSoo Cloning Kit Ver.2 (TSINGKE, Beijing, China). Plasmids with gold powder were transferred to onion cells to analyze the locating signals. Empty vector 35S::EGFP was used as a control. An LSM800 confocal microscopy imaging system (Zeiss Co., Oberkochen, Germany) was used to observe the fluorescence images of EGFP fusion proteins.
4.8. Spot Assays of E. coli Cells with CsJAZ3, CsJAZ10, and CsJAZ11 Genes in Different Abiotic Stress
The ORF of CsJAZ3, CsJAZ10, and CsJAZ11 were amplified (primers were shown in Table S4) and inserted into pGEX-4T-1 using Trelief™ SoSoo Cloning Kit Ver.2 (TSINGKE, Beijing, China). The recombinant plasmid (pGEX-4T-1–CsJAZ3, pGEX-4T-1–CsJAZ10, and pGEX-4T-1–CsJAZ11) was obtained and then transformed into E. coli BL21 (DE3) competent cells. To study the expression of CsJAZ3, CsJAZ10, and CsJAZ11 in E. coli in response to different abiotic conditions, spot assays were conducted in combination with heat treatment and treatments with PEG 6000, NaCl. All the experiments were done at least three times to make sure that the results were reliable and reproducible.
The E. coli BL21 cells containing pGEX-4T-1–CsJAZ3, pGEX-4T-1–CsJAZ10, pGEX-4T-1–CsJAZ11 and pGEX-4T-1 (EV) were cultured in LB medium at 37 °C until they reached OD600 of 0.6. Then, isopropyl β-D-thiogalactoside (IPTG) was added to the cultures at a concentration of 1.0 mM and further cultured at 37 °C for another 12 h. The cultured cells were diluted to an OD600 of 0.6 and then diluted to 10−3- and 10−4-fold, respectively by using the LB medium [51]. For heat treatment, volume of 1 mL 10−3- and 10−4-fold dilutions were put into a temperature-controlled water bath (55 °C) for 0, 30, 60, and 90 min. Then ten microliters from each of the 10-3- and 10-4-fold dilutions was spotted onto LB plates containing 100 μg·mL−1 ampicillin. For PEG 6000 and NaCl treatments, ten microliters from each of the 10−3- and 10−4-fold dilutions was spotted onto LB plates containing different concentrations of PEG 6000 (5% and 10%) and NaCl (250, 500, and 750 mM). All the LB basal plates contained 100 μg·mL−1 ampicillin. Then all plates were cultured at 37 °C overnight and then photographed. These experiments were also done at least three times to assure that the results were reliable and reproducible.
5. Conclusions
In conclusion: 12 JAZ genes in tea plant were identified and their bioinformatics information, including the classification, protein motifs, and gene structure, gene promoters were investigated in this study. Quantitative RT–PCR analysis showed that 7 CsJAZ genes were preferentially expressed in roots. The relative expressions of CsJAZ genes revealed the potential role of CsJAZ genes in “LJ43” against low and high temperature, PEG, MeJA, and GA stress. Additionally, we identified several CsJAZ genes such as CsJAZ4, -10, -11 that may be utilized as candidates for improving tea resistances to multiple stresses. In addition, the overexpression of CsJAZ3, CsJAZ10- and CsJAZ11 in E. coli BL21 cells enhanced its growth under high temperature, NaCl, and PEG stimuli. The findings of the present study may be utilized in future research investigations on the function of JAZ family genes in tea plant. Further studies are required to reveal the molecular mechanisms of CsJAZ in response to abiotic stress at translational and post-translational levels by biochemical and genetic approaches.
Acknowledgments
We would like to thank Emmanuel Arkorful for helping us review the manuscript. We would also like to thank the Central Lab in College of Horticulture for providing the LSM800 confocal microscopy imaging system and Bio-Rad IQ5 Real Time PCR System.
Supplementary Materials
Supplementary materials can be found at https://www.mdpi.com/1422-0067/21/7/2433/s1.
Author Contributions
W.F. conceived and designed the project; J.S., Y.D., and H.X. performed the experiments; J.S. analyzed the data; J.S. wrote the paper. All authors reviewed and approved the final manuscript.
Funding
This research was supported by The National Natural Science Foundation of China (31972460, 31870680), the Keypoint Research and Invention Program of Jiangsu Province (BE2019379), the earmarked fund for China Agriculture Research System (CARS-19), and the Jiangsu Agricultural Industry Technology System (JATS [2019]423).
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Sultan S.E. Plant developmental responses to the environment: Eco-devo insights. Curr. Opin. Plant Biol. 2010;13:96–101. doi: 10.1016/j.pbi.2009.09.021. [DOI] [PubMed] [Google Scholar]
- 2.Wani S.H., Kumar V., Shriram V., Sah S.K. Phytohormones and their metabolic engineering for abiotic stress tolerance in crop plants. Crop J. 2016;4:162–176. doi: 10.1016/j.cj.2016.01.010. [DOI] [Google Scholar]
- 3.Golenberg E.M., West N.W. Hormonal interactions and gene regulation can link monoecy and environmental plasticity to the evolution of dioecy in plants. Am. J. Bot. 2013;100:1022–1037. doi: 10.3732/ajb.1200544. [DOI] [PubMed] [Google Scholar]
- 4.Afrin S., Huang J.-J., Luo Z.-Y. JA-mediated transcriptional regulation of secondary metabolism in medicinal plants. Sci. Bull. 2015;60:1062–1072. doi: 10.1007/s11434-015-0813-0. [DOI] [Google Scholar]
- 5.Pauwels L., Goossens A. The JAZ Proteins: A Crucial Interface in the Jasmonate Signaling Cascade. Plant Cell. 2011;23:3089. doi: 10.1105/tpc.111.089300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ye H., Du H., Tang N., Li X., Xiong L. Identification and expression profiling analysis of TIFY family genes involved in stress and phytohormone responses in rice. Plant Mol. Biol. 2009;71:291–305. doi: 10.1007/s11103-009-9524-8. [DOI] [PubMed] [Google Scholar]
- 7.Melotto M., Mecey C., Niu Y., Chung H.S., Katsir L., Yao J., Zeng W., Thines B., Staswick P., Browse J., et al. A critical role of two positively charged amino acids in the Jas motif of Arabidopsis JAZ proteins in mediating coronatine- and jasmonoyl isoleucine-dependent interactions with the COI1 F-box protein. Plant J. 2008;55:979–988. doi: 10.1111/j.1365-313X.2008.03566.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Thines B., Katsir L., Melotto M., Niu Y., Mandaokar A., Liu G., Nomura K., He S.Y., Howe G.A., Browse J. JAZ repressor proteins are targets of the SCFCOI1 complex during jasmonate signalling. Nature. 2007;448:661–665. doi: 10.1038/nature05960. [DOI] [PubMed] [Google Scholar]
- 9.Chini A., Boter M., Solano R. Plant oxylipins: COI1/JAZs/MYC2 as the core jasmonic acid-signalling module. FEBS J. 2009;276:4682–4692. doi: 10.1111/j.1742-4658.2009.07194.x. [DOI] [PubMed] [Google Scholar]
- 10.Wang Y., Qiao L., Bai J., Wang P., Duan W., Yuan S., Yuan G., Zhang F., Zhang L., Zhao C. Genome-wide characterization of JASMONATE-ZIM DOMAIN transcription repressors in wheat (Triticum aestivum L.) BMC Genom. 2017;18:152. doi: 10.1186/s12864-017-3582-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Browse J., Wager A. Social Network: JAZ Protein Interactions Expand Our Knowledge of Jasmonate Signaling. Front. Plant Science. 2012;3:41. doi: 10.3389/fpls.2012.00041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kazan K., Manners J.M. JAZ repressors and the orchestration of phytohormone crosstalk. Trends Plant Sci. 2012;17:22–31. doi: 10.1016/j.tplants.2011.10.006. [DOI] [PubMed] [Google Scholar]
- 13.Song S., Qi T., Wasternack C., Xie D. Jasmonate signaling and crosstalk with gibberellin and ethylene. Curr. Opin. Plant Biol. 2014;21:112–119. doi: 10.1016/j.pbi.2014.07.005. [DOI] [PubMed] [Google Scholar]
- 14.Vanholme B., Grunewald W., Bateman A., Kohchi T., Gheysen G. The tify family previously known as ZIM. Trends Plant Sci. 2007;12:239–244. doi: 10.1016/j.tplants.2007.04.004. [DOI] [PubMed] [Google Scholar]
- 15.Li W., Xia X.-C., Han L.-H., Ni P., Yan J.-Q., Tao M., Huang G.-Q., Li X.-B. Genome-wide identification and characterization of JAZ gene family in upland cotton (Gossypium hirsutum) Sci. Rep. 2017;7:2788. doi: 10.1038/s41598-017-03155-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yan Y., Stolz S., Chételat A., Reymond P., Pagni M., Dubugnon L., Farmer E.E. A Downstream Mediator in the Growth Repression Limb of the Jasmonate Pathway. Plant Cell. 2007;19:2470. doi: 10.1105/tpc.107.050708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Demianski A.J., Chung K.M., Kunkel B.N. Analysis of Arabidopsis JAZ gene expression during Pseudomonas syringae pathogenesis. Mol. Plant Pathol. 2012;13:46–57. doi: 10.1111/j.1364-3703.2011.00727.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gimenez-Ibanez S., Boter M., Ortigosa A., García-Casado G., Chini A., Lewsey M.G., Ecker J.R., Ntoukakis V., Solano R. JAZ 2 controls stomata dynamics during bacterial invasion. New Phytol. 2017;213:1378–1392. doi: 10.1111/nph.14354. [DOI] [PubMed] [Google Scholar]
- 19.Wu H., Ye H., Yao R., Zhang T., Xiong L. OsJAZ9 acts as a transcriptional regulator in jasmonate signaling and modulates salt stress tolerance in rice. Plant Sci. 2015;232:1–12. doi: 10.1016/j.plantsci.2014.12.010. [DOI] [PubMed] [Google Scholar]
- 20.Singh A.P., Pandey B.K., Mehra P., Chandan R.K., Jha G., Giri J. OsJAZ9 overexpression improves potassium deficiency tolerance in rice by modulating jasmonic acid levels and signaling. bioRxiv. 2018 doi: 10.1101/440024. [DOI] [Google Scholar]
- 21.Hu H., He X., Tu L., Zhu L., Zhu S., Ge Z., Zhang X. GhJAZ2 negatively regulates cotton fiber initiation by interacting with the R2R3-MYB transcription factor GhMYB25-like. Plant J. 2016;88:921–935. doi: 10.1111/tpj.13273. [DOI] [PubMed] [Google Scholar]
- 22.Ju L., Jing Y., Shi P., Liu J., Chen J., Yan J., Chu J., Chen K.-M., Sun J. JAZ proteins modulate seed germination through interaction with ABI5 in bread wheat and Arabidopsis. New Phytol. 2019;223:246–260. doi: 10.1111/nph.15757. [DOI] [PubMed] [Google Scholar]
- 23.Jing Y., Liu J., Liu P., Ming D., Sun J. Overexpression of TaJAZ1 increases powdery mildew resistance through promoting reactive oxygen species accumulation in bread wheat. Sci. Rep. 2019;9:5691. doi: 10.1038/s41598-019-42177-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zhu D., Cai H., Luo X., Bai X., Deyholos M.K., Chen Q., Chen C., Ji W., Zhu Y. Over-expression of a novel JAZ family gene from Glycine soja, increases salt and alkali stress tolerance. Biochem. Biophys. Res. Commun. 2012;426:273–279. doi: 10.1016/j.bbrc.2012.08.086. [DOI] [PubMed] [Google Scholar]
- 25.Oh Y., Baldwin I.T., Gális I. NaJAZh regulates a subset of defense responses against herbivores and spontaneous leaf necrosis in Nicotiana attenuata plants. Plant Physiol. 2012;159:769–788. doi: 10.1104/pp.112.193771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Oh Y., Baldwin I.T., Galis I. A Jasmonate ZIM-Domain Protein NaJAZd Regulates Floral Jasmonic Acid Levels and Counteracts Flower Abscission in Nicotiana attenuata Plants. PLoS ONE. 2013;8:e57868. doi: 10.1371/journal.pone.0057868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Liu S., Zhang P., Li C., Xia G. The moss jasmonate ZIM-domain protein PnJAZ1 confers salinity tolerance via crosstalk with the abscisic acid signalling pathway. Plant Sci. 2019;280:1–11. doi: 10.1016/j.plantsci.2018.11.004. [DOI] [PubMed] [Google Scholar]
- 28.Zhang G., Yan X., Zhang S., Zhu Y., Zhang X., Qiao H., van Nocker S., Li Z., Wang X. The jasmonate-ZIM domain gene VqJAZ4 from the Chinese wild grape Vitis quinquangularis improves resistance to powdery mildew in Arabidopsis thaliana. Plant Physiol. Biochem. 2019;143:329–339. doi: 10.1016/j.plaphy.2019.09.018. [DOI] [PubMed] [Google Scholar]
- 29.Wen B., Ren S., Zhang Y., Duan Y., Shen J., Zhu X., Wang Y., Ma Y., Zou Z., Fang W. Effects of geographic locations and topographical factors on secondary metabolites distribution in green tea at a regional scale. Food Control. 2020;90:18–28. doi: 10.1016/j.foodcont.2019.106979. [DOI] [Google Scholar]
- 30.Wen B., Zhang X., Ren S., Duan Y., Zhang Y., Zhu X., Wang Y., Ma Y., Fang W. Characteristics of soil nutrients, heavy metals and tea quality in different intercropping patterns. Agrofor. Syst. 2019 doi: 10.1007/s10457-019-00463-8. [DOI] [Google Scholar]
- 31.Sun H., Chen L., Li J., Hu M., Ullah A., He X., Yang X., Zhang X. The JASMONATE ZIM-domain gene family mediates JA signaling and stress response in cotton. Plant Cell Physiol. 2017;58:2139–2154. doi: 10.1093/pcp/pcx148. [DOI] [PubMed] [Google Scholar]
- 32.Xu G., Guo C., Shan H., Kong H. Divergence of duplicate genes in exon–intron structure. Proc. Natl. Acad. Sci. USA. 2012;109:1187–1192. doi: 10.1073/pnas.1109047109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Chini A., Fonseca S., Chico J.M., Fernández-Calvo P., Solano R. The ZIM domain mediates homo-and heteromeric interactions between Arabidopsis JAZ proteins. Plant J. 2009;59:77–87. doi: 10.1111/j.1365-313X.2009.03852.x. [DOI] [PubMed] [Google Scholar]
- 34.Song S., Qi T., Huang H., Ren Q., Wu D., Chang C., Peng W., Liu Y., Peng J., Xie D. The jasmonate-ZIM domain proteins interact with the R2R3-MYB transcription factors MYB21 and MYB24 to affect jasmonate-regulated stamen development in Arabidopsis. Plant Cell. 2011;23:1000–1013. doi: 10.1105/tpc.111.083089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Xie Y., Tan H., Ma Z., Huang J. DELLA proteins promote anthocyanin biosynthesis via sequestering MYBL2 and JAZ suppressors of the MYB/bHLH/WD40 complex in Arabidopsis thaliana. Mol. Plant. 2016;9:711–721. doi: 10.1016/j.molp.2016.01.014. [DOI] [PubMed] [Google Scholar]
- 36.Zhou Y., Zhou X., Li Q., Chen J., Xiao Y., Zhang L., Chen W. Molecular cloning, bioinformatics analysis, and transcriptional profiling of JAZ1 and JAZ2 from Salvia miltiorrhiza. Biotechnol. Appl. Biochem. 2017;64:27–34. doi: 10.1002/bab.1454. [DOI] [PubMed] [Google Scholar]
- 37.Wang Y., Pan F., Chen D., Chu W., Liu H., Xiang Y. Genome-wide identification and analysis of the Populus Trichocarpa TIFY gene family. Plant Physiol. Biochem. 2017;115:360–371. doi: 10.1016/j.plaphy.2017.04.015. [DOI] [PubMed] [Google Scholar]
- 38.Zhang Y.-H., Wan S.-Q., Wang W.-D., Chen J.-F., Huang L.-L., Duan M.-S., Yu Y.-B. Genome-wide identification and characterization of the CsSnRK2 family in Camellia sinensis. Plant Physiol. Biochem. 2018;132:287–296. doi: 10.1016/j.plaphy.2018.09.021. [DOI] [PubMed] [Google Scholar]
- 39.Li X., Yin X., Wang H., Li J., Guo C., Gao H., Zheng Y., Fan C., Wang X. Genome-wide identification and analysis of the apple (Malus× domestica Borkh.) TIFY gene family. Tree Genet. Genom. 2015;11:808. doi: 10.1007/s11295-014-0808-z. [DOI] [Google Scholar]
- 40.Saha G., Park J.-I., Kayum M., Nou I.-S. A Genome-wide analysis reveals stress and hormone responsive patterns of TIFY family genes in Brassica rapa. Front. Plant Sci. 2016;7:936. doi: 10.3389/fpls.2016.00936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Yang D.-L., Yao J., Mei C.-S., Tong X.-H., Zeng L.-J., Li Q., Xiao L.-T., Sun T.-P., Li J., Deng X.-W. Plant hormone jasmonate prioritizes defense over growth by interfering with gibberellin signaling cascade. Proc. Natl. Acad. Sci. USA. 2012;109:1192–1200. doi: 10.1073/pnas.1201616109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Zhu Z., An F., Feng Y., Li P., Xue L., Mu A., Jiang Z., Kim J.-M., To T.K., Li W. Derepression of ethylene-stabilized transcription factors (EIN3/EIL1) mediates jasmonate and ethylene signaling synergy in Arabidopsis. Proc. Natl. Acad. Sci. USA. 2011;108:12539–12544. doi: 10.1073/pnas.1103959108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Zhang Y., Gao M., Singer S.D., Fei Z., Wang H., Wang X. Genome-wide identification and analysis of the TIFY gene family in grape. PLoS ONE. 2012;7:e44465. doi: 10.1371/journal.pone.0044465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Liu F., Sun T., Wang L., Su W., Gao S., Su Y., Xu L., Que Y. Plant jasmonate ZIM domain genes: Shedding light on structure and expression patterns of JAZ gene family in sugarcane. BMC Genom. 2017;18:771. doi: 10.1186/s12864-017-4142-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kumar S., Stecher G., Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016;33:1870–1874. doi: 10.1093/molbev/msw054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chen C., Xia R., Chen H., He Y. TBtools, a Toolkit for Biologists integrating various HTS-data handling tools with a user-friendly interface. bioRxiv. 2018 doi: 10.1101/289660. [DOI] [Google Scholar]
- 47.Wu Z.-J., Wang W.-L., Zhuang J. TCP family genes control leaf development and its responses to hormonal stimuli in tea plant [Camellia sinensis (L.) O. Kuntze] Plant. Growth Regul. 2017;83:43–53. doi: 10.1007/s10725-017-0282-3. [DOI] [Google Scholar]
- 48.Franceschini A., Szklarczyk D., Frankild S., Kuhn M., Simonovic M., Roth A., Lin J., Minguez P., Bork P., Von Mering C. STRING v9. 1: Protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2012;41:808–815. doi: 10.1093/nar/gks1094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Shen J., Zou Z., Zhang X., Zhou L., Wang Y., Fang W., Zhu X. Metabolic analyses reveal different mechanisms of leaf color change in two purple-leaf tea plant (Camellia sinensis L.) cultivars. Hortic. Res. 2018;5:7. doi: 10.1038/s41438-017-0010-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Pfaffl M.W. A new mathematical model for relative quantification in real-time RT–PCR. Nucleic Acids Res. 2001;29:45. doi: 10.1093/nar/29.9.e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Guo J., Xu L., Fang J., Su Y., Fu H., Que Y., Xu J. A novel dirigent protein gene with highly stem-specific expression from sugarcane, response to drought, salt and oxidative stresses. Plant. Cell Rep. 2012;31:1801–1812. doi: 10.1007/s00299-012-1293-1. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.