Abstract
Ascorbic acid (AsA) participates in diverse biological processes, is regulated by multiple factors and is a potent antioxidant and cellular reductant. The D-Mannose/L-Galactose pathway is a major plant AsA biosynthetic pathway that is highly connected within biosynthetic networks, and generally conserved across plants. Previous work has shown that, although most genes of this pathway are expressed under standard growth conditions in Brassica rapa, some paralogs of these genes are not. We hypothesize that regulatory evolution in duplicate AsA pathway genes has occurred as an adaptation to environmental stressors, and that gene retention has been influenced by polyploidation events in Brassicas. To test these hypotheses, we explored the conservation of these genes in Brassicas and their expression patterns divergence in B. rapa. Similar retention and a high degree of gene sequence similarity were identified in B. rapa (A genome), B. oleracea (C genome) and B. napus (AC genome). However, the number of genes that encode the same type of enzymes varied among the three plant species. With the exception of GMP, which has nine genes, there were one to four genes that encoded the other enzymes. Moreover, we found that expression patterns divergence widely exists among these genes. (i) VTC2 and VTC5 are paralogous genes, but only VTC5 is influenced by FLC. (ii) Under light treatment, PMI1 co-regulates the AsA pool size with other D-Man/L-Gal pathway genes, whereas PMI2 is regulated only by darkness. (iii) Under NaCl, Cu2+, MeJA and wounding stresses, most of the paralogs exhibit different expression patterns. Additionally, GME and GPP are the key regulatory enzymes that limit AsA biosynthesis in response to these treatments. In conclusion, our data support that the conservative and divergent expression patterns of D-Man/L-Gal pathway genes not only avoid AsA biosynthesis network instability but also allow B. rapa to better adapt to complex environments.
Keywords: Brassica rapa, conservative, D-mannose/L-galactose pathway, expression divergence, evolutionary pattern
Introduction
l-Ascorbic acid (AsA, the reduced form of VTC) is an essential metabolite in plants and animals. Plants can synthesize this indispensable vitamin for themselves, but humans and some other animals must obtain AsA from fruits and vegetables (Nishikimi et al., 1994). In plants, AsA is not only an important nutrient source for humans but also an important antioxidant and redox buffer that has critical roles in metabolism by responding to abiotic stresses and pathogens (Pavet et al., 2005; Zhang, 2012). In addition, plants require AsA as a cofactor for growth regulation, cell wall synthesis (de Pinto and De Gara, 2004), stomatal closure and flowering time (Chen and Gallie, 2004; Kotchoni et al., 2009).
Significant progress has been made in understanding the AsA biosynthesis pathways and their components in plants. AsA was proposed to be synthesized via D-mannose and L-galactose in a pathway called the D-Mannose/L-Galactose (D-Man/L-Gal; Smirnoff–Wheeler) pathway (Wheeler et al., 1998). In addition, several other pathways of AsA biosynthesis have been identified in plants, such as the L-gulose, D-galacturonate and myo-inositol pathways (Valpuesta and Botella, 2004). However, additional biochemical and molecular genetic evidence exists suggesting that the D-Man/L-Gal pathway is the main route of AsA biosynthesis in plants. Conklin et al. (2000) screened Arabidopsis mutants with defective AsA synthesis and identified 5 loci (VTC1, VTC2, VTC3, VTC4 and VTC5) related to the AsA D-Man/L-Gal pathway (Conklin et al., 2000). VTC1 encodes the AsA biosynthetic enzyme GMP (Conklin et al., 1999), VTC2 and VTC5 encode GGP (Dowdle et al., 2007; Linster et al., 2007), and VTC4 encodes GPP (Conklin et al., 2006; Laing et al., 2007). All of these genes are essential for AsA biosynthesis, as evidenced by experiments performed in vtc mutants. It is well documented that light regulates AsA biosynthesis; Arabidopsis photomorphogenic factor COP9 signalosome subunit 5B interacts with VTC1 and modulates AsA synthesis and the response to salt stress (Wang et al., 2013). A light-responsive cis-element has recently been identified in the promoter of the VTC2 gene (Gao et al., 2011). Furthermore, VTC5 is one of putative targets of FLOWERING LOCUS C (FLC), which plays a key role in the timing of the initiation of flowering and potentially regulates genes that function in many developmental pathways (Deng et al., 2011). In addition, AsA-related genes play important roles in the responses to multiple stresses. Zhang et al. (2012) reported that Ethylene responsive factor 98 (ERF98) in Arabidopsis transcriptionally activates VTC1 gene expression in AsA biosynthesis and contributes to enhanced salt tolerance (Zhang et al., 2012). In summary, stress can lead to ROS production, whereas higher AsA levels benefit plants by helping to eliminate the accumulated ROS. Thus, the AsA D-Man/L-Gal pathway is essential for plant growth, participates in stress resistance, and appears to be involved in flowering time control.
AsA D-Man/L-Gal genes are present in both land plants and green algae, suggesting that this pathway evolved in the last common ancestor of green plants (Duan et al., 2015). The higher plant lineages have undergone polyploidization during their long evolutionary history. Based on the gene balance hypothesis, several genes with products that participate in metabolic networks or in transcriptional or signaling networks have been preferentially retained to avoid network instability caused by the loss of one member (Lynch and Conery, 2000; Birchler and Veitia, 2007). Compared with the neighboring genes, the core eukaryotic genes and randomly selected genes from the microsyntenic regions corresponding to the AsA-related genes, all of the AsA-related genes have been preferentially retained since the divergence of Brassica rapa from the last common ancestor with Arabidopsis thaliana. Additionally, the D-Man/L-Gal pathway genes are highly conserved and there are no significant differences in the gene numbers among selected representative plant species (Duan et al., 2015).
During evolution, gene duplication has provided plant genes an opportunity to transform their form and functions to adapt to environmental changes (Rensing, 2014). After duplication, some of the gene pairs have a brief life, or only one copy is maintained. In contrast, some gene pairs survive after the duplication require for adaptive evolution, and their subsequent divergence provide raw genetic resources (subfunctionalization) or play a central role in the evolution of novel gene functions (neofunctionalization) (Flagel and Wendel, 2009). Brassicaceae is a large eudicot family including the model plant A. thaliana and the ‘U’s triangle Brassicas crops (Nagaharu, 1935), which are major contributors to the human diet. The triangle consists of the three diploid species, B. rapa (A genome, n = 10), B. nigra (B genome, n = 8), and B. oleracea (C genome, n = 9). Furthermore, they have formed three amphidiploid species, including B. juncea (AB, n = 18), B. napus (AC, n = 19), and B. carinata (BC, n = 17) by hybridization. These species share a complex history with A. thaliana and then experienced an additional whole-genome triplication (WGT) event 13–17 million years ago (Wang et al., 2011; Cheng et al., 2013). B. rapa includes several subspecies, such as Chinese cabbage (B. rapa ssp. pekinensis) and NHCC (B. rapa ssp. chinensis; Pak-choi), which are economically significant vegetable crops in Asia. Moreover, NHCC is one of the most important vegetables in south China. The AsA content not only is essential for plant growth but also is an important index to evaluate the quality of the vegetables. However, in B. rapa, increased AsA content does not correlate with the number of AsA paralogs that are expressed after the WGT event (Duan et al., 2015). What happened to the duplicated genes in the AsA D-Man/L-Gal pathway after polyploidization remains an open question. B. rapa, B. oleracea, and B. napus have recently been sequenced, and their genomes have been assembled (Wang et al., 2011; Chalhoub et al., 2014; Liu S. et al., 2014), thus providing good raw data to study the evolutionary patterns of duplicated genes.
This work explored the conservation and expression patterns divergence of AsA D-Man/L-Gal pathway genes and their regulatory mechanism under multiple treatments. Specifically, our study (i) compared the retention and conservation of AsA D-Man/L-Gal pathway genes in the Brassica A and C genomes; (ii) identified the number of genes that encode the same type of enzymes and determined the structural divergence in the subclades of GMPs; (iii) identified the evolutionary history of VTC2 and VTC5 through 5 eudicots and 1 basal angiosperm; (iv) showed that AsA D-Man/L-Gal pathway genes are regulated by light in B. rapa; (v) analyzed the co-expression and differential expression patterns of AsA D-Man/L-Gal pathway genes involved in response to multiple abiotic stresses in B. rapa; and (vi) explored the different expression patterns of homologous genes.
Materials and Methods
Sequence Retrieval
The sequences of the B. rapa AsA D-Man/L-Gal pathway genes were retrieved from the Brassica database (BRAD1), according to previous reports (Duan et al., 2015). The genome data set of B. oleracea was downloaded from Bolbase2 (Liu S. et al., 2014), and that of B. napus was downloaded from the Brassica napus Genome Browser3 (Chalhoub et al., 2014). The gene sequences from Vitis vinifera, Carica papaya, Populus trichocarpa, and Amborella trichopoda were downloaded from Phytozome v9.14 (Goodstein et al., 2012). The sequences of the B. oleracea and B. napus homologs to these AsA-related genes in B. rapa were identified through a BLASTp search (E-value 1e ≤ 20, identity ≥ 40%) (Duan et al., 2015). The GGP homologs in V. vinifera, C. papaya, P. trichocarpa, and A. trichopoda genomes were identified in the same way. Then, we verified these sequences in the NCBI database5.
Synteny Analysis of AsA D-Man/L-Gal Pathway Genes
The position of each AsA D-Man/L-Gal pathway gene on the syntenic blocks was verified by searching for homologs among A. thaliana and the LF, MF1 and MF2 subgenomes of B. rapa, B. oleracea, and B. napus using BRAD6 (last accessed January 8, 2015) (Cheng et al., 2012). Conservation of chromosomal synteny around the GGPs in A. thaliana, A. trichopoda, C. papaya, P. trichocarpa, V. vinifera, and B. rapa was evaluated with CoGe7. An in-house Perl program was used to draw the syntenic diagram.
The potential duplicated genes in the B. rapa, B. oleracea and B. napus genomes were identified using MCScanX8 (Wang et al., 2012). The resulting blast hits were incorporated, along with the chromosome coordinates of all protein-coding genes, as an input for MCScanX and classified into segmental, tandem, proximal and dispersed duplications under the default criteria.
The set of core eukaryotic genes and a set of randomly selected genes from the microsyntenic regions corresponding to the AsA D-Man/L-Gal pathway genes and a set of genes flanking the A. thaliana AsA D-Man/L-Gal pathway genes (10 on either side) were established according our previous study (Duan et al., 2015).
Multiple Sequence Alignments, Phylogenetic Relationship and Conserved Motif Analyses
The amino acid sequence alignments of the full-length protein sequences of the AsA-related genes were aligned with the MUSCLE program using the default parameters (Nei, 1996; Edgar, 2004). The phylogenetic trees were then constructed with the ML method in each analysis by using MEGA 5.2 (Tamura et al., 2011). The confidence level of the monophyletic clade was estimated using a bootstrap analysis of 1,000 replicates.
The putative AsA-related protein sequences used for the phylogenetic analysis were detected by MEME program version 4.9.0 to analyze the possible conserved motifs by using default parameters (Bailey et al., 2009), except for the following parameters: the maximum number of motifs was set to 10 and the optimum motif width was set to ≥10 and ≤100.
Plant Material, Growth Conditions and Stress Treatments
One of the NHCC cultivars (B. rapa ssp. chinensis cv. suzhouqing) was used for the experiments. The seeds were washed with distilled water and germinated on moist filter paper in a 25°C incubator in the dark for 2 days. The germinated seeds were grown in pots containing soil consisting of a vermiculite mixture (3:1) in the greenhouse of Nanjing Agricultural University. The controlled-environment growth chamber was programmed for 75% humidity, light 16 h/25°C and dark 8 h/20°C. Light was set as 100 μmol m-2 s-1. Seedlings at the five-leaf stage were used for the subsequent experiments: (i) light/darkness treatment: the analysis started after 8 h of darkness (corresponding to the time of starting the light period), and the plants were then exposed to continuous dark or were moved into the light at 100 μmol m-2 s-1 for 24 h. Under the light/darkness treatment, the temperature was set to 25°C. Samples were collected every 3 h. (ii) Simulated vernalization treatment: the plants were placed at 4°C for 50 days. The controlled-environment growth chamber was programmed for 75% humidity, light 16 h and dark 8 h. Samples were collected at each time point (0, 1, 3, and 5 and then every 5 days). (iii) Multiple-stress treatments: for acclimation, some plants were cultured in 1/2 Hoagland’s solution, pH 6.5, in plastic containers (Jensen and Bassham, 1966). The controlled-environment growth chamber was set as described above (light 16 h/25°C and dark 8 h/20°C). After 1 week of acclimatization, plants were cultured in the following five treatments: (1) Control, (2) 100 μM CuSO4, (3) 1 mM MeJA, (4) 100 μM NaCl and (5) wounding simulation (the leaf was wounded via two 1 cm diameter holes on each side of the main vein with a sterile hole punch). For these treatments, samples were collected at each time point (0, 6, 12, 24, and 48 h). For all treatments, there were three biological replicates. In addition, the T2 BracFLC1 transgenic A. thaliana plants from the study by Liu et al. (2012) were also used in this study (Liu et al., 2012). All samples were frozen in liquid nitrogen and stored at -70°C until further analysis.
Analyses of AsA and Total-AsA
The AsA and T-AsA levels were analyzed according to the procedure described by Melino et al. (2009), with the slight modifications described by Ren et al. (2013). The samples (0.2 g of leaf tissue) were homogenized in 1.6 mL of 0.1% (w/v) pre-cooled oxalic acid and then centrifuged at 12,000 g for 20 min at 4°C. The supernatants were filtered through a 0.45-mm membrane syringe filter. Finally, the filtrate was collected for HPLC assays of AsA at a wavelength of 245 nm. T-AsA was analyzed by adding 20 mL of dithiothreitol (20 mg/L) to 20 mL of the filtrate and incubating the mixtures for 15 min in the dark. The reaction solution was also used for HPLC assays of T-AsA at a wavelength of 245 nm.
RNA Isolation and qRT- PCR
Leaf samples (0.1 g) were obtained from control and from treated plants and were subjected to total RNA extraction with an RNA kit (RNAsimply total RNA Kit, Tiangen, Beijing, China) according to the manufacturer’s instructions. Five micrograms of each sample was reverse transcribed into cDNAs using a PrimeScript RT reagent Kit (TaKaRa). The gene-specific primers for the D-Man/L-Gal pathway genes that were used to detect transcripts were designed according to a previous study by Ren et al. (2013) (Supplementary Table S1). Each qRT-PCR reaction (20 μL) contained a diluted cDNA sample as the template, 2× Power SYBR Green PCR Master Mix (Applied Biosystems) and 400 nM each of the forward and reverse gene-specific primers. The reactions were performed using a 7500 Fast Real-Time PCR System (Applied Biosystems) with the following cycling profile: 94°C for 30 s, followed by 40 cycles at 94°C for 10 s and then 58°C for 30 s. After the PCR was run, a melting curve (61 cycles at 65°C for 10 s) was generated to confirm the specificity of the amplification. Actin (Accession number: AF111812) was used as an internal control to normalize the expression level of the target genes among the different samples. The relative expression ratio of each gene was calculated using the comparative Ct value method (Heid et al., 1996). Gene expression was measured from at least three biological replicates (with three technical replicates per biological replicate).
Pearson Correlation Coefficients (PCCs) Analyses
The PCCs for the AsA content and the transcript levels of AsA-related gene pairs were calculated using an in-house Perl script based on the transformed qRT-PCR data from the different treatments (Tang et al., 2013). In detail, the PCCs were calculated according to the relative expression trends at different treatment times, as previously described (Liu J. et al., 2014; Xu et al., 2015). The correlation was analyzed by using the R package, on the basis of the PCCs. The entire gene pairs whose PCCs were significant at a 0.05 significance level (p-value) were collected for a gene co-regulatory network analysis and the co-expressed networks were graphically visualized using Cytoscape version 3.1 based on the PCCs of these gene pairs (Shannon et al., 2003).
Results
Triplication and Fractionation of AsA D-Man/L-Gal Pathway Genes in Brassicas
To investigate the copy number variations of the AsA D-Man/L-Gal pathway genes in detail during the Brassica-specific WGT event in B. rapa, all 15 A. thaliana AsA D-Man/L-Gal pathway genes and three other sets were used. The sets included core eukaryotic genes and randomly selected genes from the microsyntenic regions corresponding to the A. thaliana AsA D-Man/L-Gal pathway genes and the neighboring genes flanking the AsA D-Man/L-Gal pathway genes. The number of AsA D-Man/L-Gal pathway genes that were completely lost in B. rapa, compared with the other three sets, was the lowest (6.7%), and the numbers (∼50%) of D-Man/L-Gal pathway and core eukaryotic genes that were retained as two or three copies were similar and were higher than those in the neighboring and randomly chosen gene sets (Supplementary Figure S1). Thus, the AsA D-Man/L-Gal pathway genes were preferentially retained in B. rapa.
To further investigate the retention of AsA D-Man/L-Gal pathway genes in other Brassica crops, the sequenced species B. rapa (AA), B. oleracea (CC) and B. napus (AACC; allopolyploidy) were used in this study. All of the 27 AsA D-Man/L-Gal pathway genes were identified in B. rapa (Duan et al., 2015). From the BLAST program and the syntenic analysis, 30 and 46 genes were identified in B. oleracea and B. napus, respectively (Supplementary Tables S2 and S3). Syntenic alignments of the AsA D-Man/L-Gal pathway genes between the model crucifers A. thaliana, B. rapa, B. oleracea and B. napus confirmed that triplication and fractionation had occurred in these three Brassica species (Figure 1A). With the exception of some GMP genes, the entire pathway genes were retained (Supplementary Table S3). The orthologous gene pairs of these genes in B. rapa and B. oleracea were also retained as homologous pairs in B. napus. The genes on the chromosomes of B. rapa and B. oleracea corresponded to the An and Cn subgenome chromosomes of B. napus, respectively (Figure 1A). Interestingly, the retained genes were in the same subgenomes (LF, MF1 and MF2) among the three Brassica species (Supplementary Table S3). Furthermore, certain genes (e.g., PGI1, VTC2, GMP2 and GDH) in the microsyntenic blocks were retained together (Figure 1A).
We specifically compared the retention of AsA D-Man/L-Gal pathway genes in the AA genome (B. rapa and B. napus An) and in the CC genome (B. oleracea and B. napus Cn). The retention of AsA D-Man/L-Gal pathway genes after triplication and fractionation in Brassicas was not identical (Figure 1B). Similar copy numbers were found in the B. rapa and B. napus An genomes, but, owing to loss of the GMP genes on the syntenic blocks, there were two and three gene copies fewer in the B. napus Cn subgenome than in other Brassica genomes (Supplementary Table S3; Figure 1B). Overall, half (∼50%) of these genes were retained as two or three copies (Figure 1B) and more than 60% witnessed a segmental duplication event (Figure 1C), indicating that segmental duplication led to the expansion of AsA D-Man/L-Gal pathway genes after the WGT in Brassicas.
In this study, similar exon numbers were found in the orthologous gene pairs of B. rapa, B. oleracea, and B. napus (Supplementary Table S4). Furthermore, a pairwise protein sequence comparison among A. thaliana, B. rapa, B. oleracea, and B. napus showed high sequence identities >85% (between A. thaliana and B. rapa) and >95% (among the three Brassica species) via box plots (Supplementary Figure S2). Above all, the AsA D-Man/L-Gal pathway proteins were conserved in Brassicas.
Divergence and Evolutionary History of the AsA D-Man/L-Gal Pathway Genes
The AsA D-Man/L-Gal pathway genes may have functioned in a few green algae plants and all higher plants (Urzica et al., 2012). To retain a stable network, these genes have been highly conserved and retained during evolution (Duan et al., 2015). However, the divergence of these genes is unclear. Among these genes in the AsA D-Man/L-Gal pathway of Brassicaceae plants, the number of genes that encode the same enzymes varied (Supplementary Table S3). The largest number of GMP genes was identified in B. rapa and was 2.5 times higher than that in A. thaliana. Phylogenetic analysis indicated that there were three clades (I, II, and III) of GMP genes in both species (Supplementary Figure S3A). Then, the microsynteny of all three clades genes were identified by comparing the A. thaliana and B. rapa genomes using CoGE (short for comparative genomics; Supplementary Figure S3B), which indicated that all of these A. thaliana genes, except for the AT3G55590 locus, were duplicated in the B. rapa genome via triplication and then expanded in each clade. By analyzing the protein structure with MEME, we found a clear structural divergence among these three clades, particularly between clade I and clade III (Supplementary Figure S3C). In clade II, there was also a structural divergence among the paralogs. Here, we mainly focused on the VTC1 gene in B. rapa because of its important role in the AsA D-Man/L-Gal pathway. After the triplication event, the BraVTC1s were all retained. However, the homologous genes did not have the same expression pattern; BraVTC1a was not expressed at a detectable level in these four tissues (Supplementary Figure S3D) (Duan et al., 2015).
Arabidopsis thaliana GGP is encoded by a pair of homologous genes, VTC2 and VTC5 (Dowdle et al., 2007), but in B. rapa, GGP is encoded by four genes. To refine the timing and relationship of the duplication, we investigated microsynteny in the regions flanking these genes. A. trichopoda has a single GGP loci; whereas V. vinifera, P. trichocarpa, C. papaya, A. thaliana, and B. rapa have two, three, one, two and four GGP loci, respectively, as a result of the duplications (Supplementary Table S5). By analyzing the phylogenetic tree and microsynteny of these genes (Figures 2A,B; Supplementary Table S6), we found that the duplication and fractionation of the GGP genes were different in these six species. There were two copies of the GGP locus in V. vinifera because of the γ duplication, but only one copy in C. papaya. In addition, one GGP gene was lost in P. trichocarpa during a salicoid duplication event (Tuskan et al., 2006). In A. thaliana, two copies of GGP, VTC2 and VTC5, were retained after the duplication. Then, after triplication and fractionation in B. rapa, three copies of VTC2 were retained, but only a single copy of VTC5 was retained. From the microsynteny of the flanking genes, it was clear that these genes were all in the GGP syntenic position. We constructed a possible collinear relationship between the GGP genes among these species (Figure 2B). The GGP genes belong to a monophyletic group; VTC5 and VTC2 were not the ancestor clades in all angiosperms and were derived from a Brassicaceae-specific duplication event.
The numbers of most AsA D-Man/L-Gal pathway genes are not significantly different among plant species (Duan et al., 2015). We used phylogenetic analysis to evaluate the evolutionary history of GPP (VTC4) in twenty selected species (Supplementary Figure S4A). On the basis of sequence similarity, most of these genes were closely conserved. Through a protein structure analysis by MEME, we found that the VTC4s had highly conserved domains among these species, except for BraVTC4, which has a longer sequence than the others. In addition, the A. thaliana, A. lyrata and B. rapa VTC4 sequences were further studied by using multiple sequence alignments (Supplementary Figure S4B). We found that the full-length sequences of both the A. thaliana and A. lyrata VTC4 genes had a high degree of similarity with the 270 bp sequence of BraVTC4. In addition, we also investigated the microsynteny of VTC4 in A. thaliana and B. rapa by CoGE and found that only one B. rapa VTC4 gene was retained (Supplementary Figure S4C). Interestingly, two A. thaliana genes corresponded to one B. rapa gene; Bra040607 (BraVTC4) may be the combination of two genes, i.e., AT3G02870 (AthVTC4) and AT3G02860, according to the characteristics of the gene structures. However, this phenomenon does not appear in B. oleracea and B. napus (Supplementary Table S4). We speculate that Bra040607 arose from incomplete genome assembly or annotation errors, but these data do not permit us to distinguish between these two possibilities.
FLC Influenced the AsA D-Man/L-Gal Pathway Gene VTC5 in NHCC
From ChIP-seq analysis, the potential FLC target genes have been defined by Deng et al. (2011), and VTC5 (AT5G55120) is one of the putative FLC targets (Deng et al., 2011). In this study, to verify whether VTC5 interacted with FLC, we detected the expression patterns of BracFLC1 and BracVTC5 in Brassica crop NHCC under simulated vernalization. Both genes were down-regulated in response to the 4°C treatment for 3 days. BracFLC1 was slowly up-regulated and then continuously down-regulated, whereas BracVTC5 was relatively stable (Figure 3A). Co-expression between these genes was established on the basis of the PCC by using the transformed qRT-PCR data, and the PCC value between them was 0.69. The results indicated that FLC may induce the expression of VTC5. To further verify this observation, we selected the overexpressed BracFLC1 transgenic A. thaliana plants from the study by Liu et al. (2012). These transgenic plants of the T2 generation were confirmed by qRT-PCR; three lines (named T1, T2, and T3) with high expression of BracFLC1 were verified (Supplementary Figure S5), and the vegetative and bolting stages were chosen for this experiment. The expression of AthVTC5 decreased after the bolting of the CK plants. In addition, BracFLC1 overexpression affected the expression of AthVTC5. AthVTC5 expression was significantly increased in the transgenic plants (Figure 3B). These results indicate that FLC directly or indirectly affects the expression of VTC5.
AsA D-Man/L-Gal Pathway Genes Are Regulated by Light in B. rapa
It has been shown that leaves exposed to high light contain more AsA compared with those in the shade. The AsA content during the day is different depending on the time, although it is higher between 12:00 to 14:00 than at any other time period (Massot et al., 2012). In addition, the AsA content was regulated in leaves, probably protecting the plant against photo-oxidative stress. However, in B. rapa, the regulation of the AsA D-Man/L-Gal pathway gene expression levels may be more complex than in Arabidopsis because several copies code for the same enzyme. To explore the light-mediated regulation of AsA biosynthesis in B. rapa, 24 h continuous light and dark treatments of NHCC were used. After 24 h in the darkness, the AsA levels in the leaves decreased by 90%. However, the level was increased by 180% after the plants were exposed to continuous light for 24 h (Figure 4A). Moreover, the T-AsA levels in the leaves showed the same trend as the AsA levels in both the light and dark treatments (Figure 4B). To understand the mechanism by which the leaf AsA levels decrease in darkness, the levels of transcripts of homologous genes involved in the AsA D-Man/L-Gal pathway were verified (Figure 4C). With the exception of BracPMI2, the expression patterns of all genes were down-regulated in the dark. Furthermore, the transcript level of BracGME.b was more rapidly decreased under continuous darkness compared with the other genes. BracPMI2, which exhibited clear anomalies compared with BracPMI1.a (Figure 4C), was activated under darkness, similarly to AtPMI2, which is induced by only a long period in the dark (Maruta et al., 2008). In continuous light, in contrast to darkness, the transcript levels of all genes showed varying degrees of regulation.
To understand the connection between the transcript levels of the AsA biosynthesis-related genes and the AsA levels, co-regulatory networks were established on the basis of the PCCs of the AsA content and the relative expression of these genes (Figure 5A). Clearly, with the exception of BracPMI2, a high correlation between all of these genes and the AsA content was determined. Furthermore, a similar expression pattern was identified in the homologous genes in response to the light/dark treatments (Figure 5A). More interestingly, the enzyme genes in this biosynthetic network, whose products may be sensitive to the light/dark treatments, showed similar transcriptional patterns (Figure 5A). All PCCs that were significant at the 0.05 significance level (p-value) were collected and visualized with the Cytoscape program to construct light-related co-regulatory networks of the AsA D-Man/L-Gal pathway genes (Figure 5B). There were 16 nodes representing the light/dark treatments connected by 115 edges, which represented the PCCs of the co-regulated gene pairs (Figure 5B; Supplementary Table S7). Most of the (92/115) co-regulated gene pairs appeared to have significant positive correlations (PCC > 0.8), thus indicating their important roles in responding to the light/dark treatments.
Expression Patterns and Co-regulatory Networks of the AsA D-Man/L-Gal Pathway Genes in B. rapa in Response to Multiple Stresses
To investigate the effects of various stress conditions on the expression of AsA biosynthetic enzymes and to discern the key regulatory genes, the effects of four stresses [NaCl, Cu2+, methyl jasmonate (MeJA) and wounding] on the AsA D-Man/L-Gal pathway genes were explored (Figure 6). The divergence of the expression patterns for the homologous genes was also identified. The changes in the AsA levels in response to these four stresses were diverse, suggesting that there were different degrees of demand for antioxidants to compensate for the presumed increased amounts of ROS. Specifically, the AsA content in the leaves was increased in response to NaCl before 12 h and then decreased. Under Cu2+ and wounding stresses, the levels were increased at 24 h; under MeJA stress, they were continuously decreased (Figure 6). To further understand the mechanism of diversification in the leaf AsA levels in response to these stresses, the transcript levels of the homologous genes were also verified. The expression of most biosynthetic genes was induced in NHCC leaves in response to these stresses (Figure 6B). In particular, most genes were up-regulated by NaCl stress at 12 h, a result consistent with the changes in the AsA content. However, most genes were down-regulated in response to MeJA stress, except for BracPMI2. These changes may have led to the decreased AsA content in response MeJA stress. Under Cu2+ and wounding stresses, the expression patterns of only some genes were consistent with the AsA content. The increased ROS production in response to Cu2+ and wounding stresses suggests that these ROS detoxification systems may be complex and that the metabolic processes responding to the antioxidant systems varied. Overall, the expression patterns of the genes that encode the GME and GPP enzymes were fairly consistent with the AsA content in response to these four treatments. We speculate that these two enzymes have a major role in regulating and limiting AsA biosynthesis in B. rapa in response to multiple abiotic stresses.
To clearly understand the connection between the transcript levels of these genes and the AsA content, co-regulatory networks were also established on the basis of the PCCs of the AsA content and the relative expression trends of the genes (Supplementary Figure S6A). We also examined the divergence of the homologous genes. With the exception of the PMI genes, all of the AsA D-Man/L-Gal pathway genes appeared to have different degrees of positive correlations (Supplementary Figure S6A). Consistently with previous conclusions, the GME and GPP genes appeared to have significant positive correlations, particularly BracGME.a, which had a PCC of 0.9. Furthermore, the upstream and downstream enzyme genes were found to have positive correlations, except for BracPMI2 vs. BracPMI2 and BracVTC5 vs. BracVTC4 (Supplementary Figure S6A). Then, all PCCs that were significant at the 0.05 significance level (p-value) were collected and visualized by the Cytoscape program to construct the stress co-regulatory networks of these genes. We connected 40 edges to represent these gene nodes under multiple stresses, which were significantly fewer than those under the light/dark treatments (Supplementary Figure S6B; Supplementary Table S8). This observation may be due to light-responsive promoter motifs that were found in a high percentage of AsA-related genes (Ioannidi et al., 2009), as well as the complex ROS detoxification systems induced by multiple stresses. Most importantly, the genes in the AsA D-Man/L-Gal pathway were not expressed under normal growth conditions (Supplementary Figure S6C) and possessed different transcript levels that corresponded to the complex environments (Figure 6).
Discussion
The D-Man/L-Gal pathway is a significant source of ascorbate, on the basis of biochemical and molecular genetic evidence. Overexpression of the genes in this pathway increases the AsA content to varying degrees in plants (Cruz-Rus et al., 2012). In contrast, antisense inhibition of these genes leads to decreased AsA content in plants (Conklin et al., 1999), thus indicating the important roles of these genes in AsA biosynthesis. However, too much or too little AsA damages plants to different degrees. A global alteration in the AsA content may have undesired deleterious effects because of the key role of AsA in some plant developmental processes and stages (Cruz-Rus et al., 2012). Thus, for different species, AsA has a certain genetic stability. Moreover, a pattern of evolutionary conservation of AsA after WGT has been observed in B. rapa (Duan et al., 2015).
In the plant kingdom, higher plant lineages have undergone polyploidization during their long evolutionary history. WGD events have been important for the evolution of complexity in multicellular eukaryotes (Edger and Pires, 2009). During these events, the genes that are highly connected within metabolic networks exhibit preferential retention, as has been confirmed in Arabidopsis (Bekaert et al., 2011). AsA-related genes in biosynthetic networks also conform to the gene balance hypothesis (Duan et al., 2015). To date, the genomes of the ‘U’s triangle Brassica crops: B. rapa, B. oleracea, and B. napus have been sequenced and assembled. The B. oleracea genome has undergone triplication events since its divergence from Arabidopsis, and B. napus was formed by hybridization between B. rapa and B. oleracea, followed by chromosome doubling (Chalhoub et al., 2014; Liu S. et al., 2014). In this study, we found that the AsA D-Man/L-Gal pathway genes were preferentially retained in B. rapa compared with their neighboring genes, and similar retentions were identified in the Brassica AA and CC genomes. The orthologs of these genes had similar intron and exon numbers, indicating they may have similar gene structures. Furthermore, a high degree of sequence similarity (>95%) remained among these species. We inferred that the AsA D-Man/L-Gal pathway genes were preferentially retained, owing to their important roles in protecting plants against oxidative damage. However, their evolutionarily conservation occurred because the AsA content must be tightly regulated in plants. This conservation would be expected, given the important and diverse roles of AsA in plants, as evidenced primarily by the moderate effects on the AsA content in genetically modified plants (Cruz-Rus et al., 2012).
Although these genes have high conservation and retention, functional differentiation would allow them to better adapt to their environment. Polyploidy has led to WGD and has provided opportunities for duplicated genes to diverge in several ways during evolution. Each of these genes could subsequently follow one of three broad fates: subfunctionalization, neofunctionalization, and non-functionalization (deletion or pseudogenization) (Innan and Kondrashov, 2010). In this study, we found that there were three major types of divergence in these AsA-related genes: divergence of subclades of multigene families, divergence of paralogous genes, and conservation of gene copies. GMP belongs to a multigene family composed of three clades. Different structural and expression patterns were observe in the three clades. Moreover, some genes are not unique to AsA biosynthesis, but they are responsible for the biosynthesis of nucleotide sugar, which serves as the substrate for AsA biosynthesis and as a precursor for cell wall polysaccharides and glycoproteins. This phenomenon may result in the divergence of multigene family genes. PMI has two homologous genes. PMI1 was constitutively expressed in various tissues of Arabidopsis under normal growth conditions, and its gene expression was induced by continuous light. However, the expression of PMI2 is induced by only a long period in the dark (Maruta et al., 2008). This result is consistent with the expression pattern of PMI in B. rapa. We inferred that this duplication conforms to the neofunctionalization mode, in which one duplicate copy accumulates beneficial mutations and acquires a new function (Li et al., 2005). Moreover, the GGP homolog VTC5 also conformed to the neofunctionalization or subfunctionalization mode because it may have acquired a new function, thus becoming one of the putative FLC targets. VTC5 is influenced by FLC and is co-expressed during plant bolting. However, this influence has not been identified in VTC2 (Supplementary Figure S7). In addition to these genes, some genes were conserved, such as GPP, GDH and GLDH, with only a single copy being identified in most plant species. Because of these characteristics, plants are expected to adapt to a more complex environment under the premise of ensuring stability.
We conclude that the AsA D-Man/L-Gal pathway genes exhibit both conservative and expression patterns divergence. Furthermore, under normal circumstances, the leaf AsA levels depend on the light/dark conditions (Tabata et al., 2002). It is well known that leaf AsA levels show a diurnal rhythm (Dutilleul et al., 2003; Tamaoki et al., 2003) and vary with the daylight conditions (Grace and Logan, 1996). This dependence may be due to light-responsive promoter motifs that have been identified in the AsA-related genes (Ioannidi et al., 2009). In Arabidopsis, VTC2 (Müller-Moulé, 2008), PMI (Maruta et al., 2008), GalDH (Gatzek et al., 2002) and GalLDH (Tamaoki et al., 2003) have already been shown to be regulated by light. In B. rapa, a substantial correlation was observed between the AsA D-Man/L-Gal pathway genes and the AsA content in response to the light/dark treatments in this study. These genes are involved in the pathway in which the light response regulates the AsA levels. With the exception of the PMI genes, the homologous genes appeared to have a similar expression pattern and positive correlations with light. This pattern underscores the importance of light in the regulation of the biosynthesis of AsA, particularly in B. rapa.
In the external environment, the plants will be subjected to various abiotic stresses, thus leading to survival of the fittest in their evolutionary history. One of the most important proposed roles for AsA is as a response to many stresses, including oxidative processes (Noctor and Foyer, 1998; Smirnoff and Wheeler, 2000). Its protective effects against photo-oxidative stress and ozone have been well documented (Sanmartin et al., 2003; Müller-Moulé et al., 2004). Multiple abiotic stresses can lead to variations in ROS production and the induction of ROS detoxification systems. In B. rapa, the high PMI, GME, and GGP expression levels at least partially contribute to the increased AsA accumulation, as determined by a comparison of the AsA genes in different tissues of three NHCC cultivars (Ren et al., 2013). Moreover, the expression patterns of the genes that encode the GME and GPP enzymes were also consistent with AsA content under the four stresses (NaCl, Cu2+, MeJA and wounding). We speculate that these two enzymes have a major role in regulating and limiting AsA biosynthesis in response to multiple abiotic stresses. Other genes have different levels of expression in response to multiple abiotic stresses. Some of these genes are not expressed under normal growth conditions (Supplementary Figure S6C) (Duan et al., 2015). This finding suggests that the decreased expression of some genes may be an adaptive response to a dosage rebalances, although it is probably neutral in most other cases. It has been proposed that functionally redundant duplicate genes may serve as a backup for important functions in the event of a severe mutation, much like a spare tire in a car (Qian et al., 2010). Here, we term this scenario the backup hypothesis. In our experiment on the expression patterns of AsA biosynthesis-related genes, we found interesting results supporting this hypothesis. For example, PMM3 expression is almost undetectable in the leaves of the three NHCC cultivars (Ren et al., 2013). However, the relative expression of PMM3 was up-regulated in response to multiple abiotic stresses, particularly Cu2+ stress.
Conclusion
In our study, we present evidence indicating that the conservation of D-Man/L-Gal pathway genes maintains a suitable level of AsA in plants through similar retention and a high degree of sequence similarity of these genes in both the AA and CC Brassica genomes. In addition, the expression data in NHCC subjected to different treatments suggest that the number of functional, duplicate gene copies within these genes varies. Our results strongly suggest that environmental changes modulate the transcriptome for fine regulation of AsA biosynthesis (Figure 7). Moreover, some genes are not expressed under normal growth conditions, but function under stress treatments, thus supporting the backup hypothesis. Moreover, GME and GPP play key roles in this pathway by regulating and limiting AsA biosynthesis in B. rapa in response to multiple abiotic stresses. Our findings show that the conservative and expression patterns divergence of D-Man/L-Gal pathway genes not only avoids AsA biosynthesis network instability but also allows B. rapa to better adapt to complex environments.
Author Contributions
The study was conceived by WD. WD collected the public datasets for Brassicas and the other researched species. WD, TL, ZC, and XS contributed to data analysis, bioinformatics analysis and manuscript preparation. WD, JR, ZH, and YL participated in the qRT-PCR experiment. YL and XH participated in the planning of experiments and revising the manuscript. All authors read and approved the final version of the manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
Financial sources: This work was supported by the “973” Program (2012CB113903) and the National Natural Science Foundation of China (31301782 and 31471886).
Abbreviations
- GDH
L-galactose dehydrogenase
- GGP
GDP-L-galactose phosphorylase
- GLDH
L-galactono-1, 4-lactone dehydrogenase
- GME
GDP-mannose-3′, 5′-epimerase
- GMP
GDP-mannose pyrophosphorylase (mannose-1-phosphate guanyltransferase)
- GPP
L-galactose-1-phosphate phosphatase
- ML
maximum-likelihood
- NHCC
non-heading Chinese cabbage
- PCCs
Pearson’s correlation coefficients
- PGI
phosphoglucose isomerase
- PMI
D-mannose-6-phosphate isomerase
- PMM
phosphomannomutase
- qRT- PCR
quantitative real-time PCR
- ROS
reactive oxygen species
- VTC
vitamin C
Footnotes
Supplementary Material
The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpls.2016.00778
References
- Bailey T. L., Boden M., Buske F. A., Frith M., Grant C. E., Clementi L., et al. (2009). MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 37 W202–W208. 10.1093/nar/gkp335 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bekaert M., Edger P. P., Pires J. C., Conant G. C. (2011). Two-phase resolution of polyploidy in the Arabidopsis metabolic network gives rise to relative and absolute dosage constraints. Plant Cell 23 1719–1728. 10.1105/tpc.110.081281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Birchler J. A., Veitia R. A. (2007). The gene balance hypothesis: from classical genetics to modern genomics. Plant Cell 19 395–402. 10.1105/tpc.106.049338 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chalhoub B., Denoeud F., Liu S., Parkin I. A., Tang H., Wang X., et al. (2014). Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science 345 950–953. 10.1126/science.1253435 [DOI] [PubMed] [Google Scholar]
- Chen Z., Gallie D. R. (2004). The ascorbic acid redox state controls guard cell signaling and stomatal movement. Plant Cell 16 1143–1162. 10.1105/tpc.021584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng F., Mandáková T., Wu J., Xie Q., Lysak M. A., Wang X. (2013). Deciphering the diploid ancestral genome of the Mesohexaploid Brassica rapa. Plant Cell 25 1541–1554. 10.1105/tpc.113.110486 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng F., Wu J., Fang L., Wang X. (2012). Syntenic gene analysis between Brassica rapa and other Brassicaceae species. Front. Plant Sci. 3:198 10.3389/fpls.2012.00198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Conklin P. L., Gatzek S., Wheeler G. L., Dowdle J., Raymond M. J., Rolinski S., et al. (2006). Arabidopsis thaliana VTC4 encodes L-galactose-1-P phosphatase, a plant ascorbic acid biosynthetic enzyme. J. Biol. Chem. 281 15662–15670. 10.1074/jbc.M601409200 [DOI] [PubMed] [Google Scholar]
- Conklin P. L., Norris S. R., Wheeler G. L., Williams E. H., Smirnoff N., Last R. L. (1999). Genetic evidence for the role of GDP-mannose in plant ascorbic acid (vitamin C) biosynthesis. Proc. Natl. Acad. Sci. U.S.A. 96 4198–4203. 10.1073/pnas.96.7.4198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Conklin P. L., Saracco S. A., Norris S. R., Last R. L. (2000). Identification of ascorbic acid-deficient Arabidopsis thaliana mutants. Genetics 154 847–856. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cruz-Rus E., Amaya I., Valpuesta V. (2012). The challenge of increasing vitamin C content in plant foods. Biotech. J. 7 1110–1121. 10.1002/biot.201200041 [DOI] [PubMed] [Google Scholar]
- de Pinto M. C., De Gara L. (2004). Changes in the ascorbate metabolism of apoplastic and symplastic spaces are associated with cell differentiation. J. Exp. Bot. 55 2559–2569. 10.1093/jxb/erh253 [DOI] [PubMed] [Google Scholar]
- Deng W., Ying H., Helliwell C. A., Taylor J. M., Peacock W. J., Dennis E. S. (2011). FLOWERING LOCUS C (FLC) regulates development pathways throughout the life cycle of Arabidopsis. Proc. Natl. Acad. Sci. U.S.A. 108 6680–6685. 10.1073/pnas.1103175108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dowdle J., Ishikawa T., Gatzek S., Rolinski S., Smirnoff N. (2007). Two genes in Arabidopsis thaliana encoding GDP-L-galactose phosphorylase are required for ascorbate biosynthesis and seedling viability. Plant J. 52 673–689. 10.1111/j.1365-313X.2007.03266.x [DOI] [PubMed] [Google Scholar]
- Duan W., Song X., Liu T., Huang Z., Ren J., Hou X., et al. (2015). Patterns of evolutionary conservation of ascorbic acid-related genes following whole-genome triplication in Brassica rapa. Genome Biol. Evol. 7 299–313. 10.1093/gbe/evu293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dutilleul C., Garmier M., Noctor G., Mathieu C., Chétrit P., Foyer C. H., et al. (2003). Leaf mitochondria modulate whole cell redox homeostasis, set antioxidant capacity, and determine stress resistance through altered signaling and diurnal regulation. Plant Cell 15 1212–1226. 10.1105/tpc.009464 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Edgar R. C. (2004). MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32 1792–1797. 10.1093/nar/gkh340 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Edger P. P., Pires J. C. (2009). Gene and genome duplications: the impact of dosage-sensitivity on the fate of nuclear genes. Chromosome Res. 17 699–717. 10.1007/s10577-009-9055-9 [DOI] [PubMed] [Google Scholar]
- Flagel L. E., Wendel J. F. (2009). Gene duplication and evolutionary novelty in plants. New Phytol. 183 557–564. 10.1111/j.1469-8137.2009.02923.x [DOI] [PubMed] [Google Scholar]
- Gao Y., Badejo A. A., Shibata H., Sawa Y., Maruta T., Shigeoka S., et al. (2011). Expression analysis of the VTC2 and VTC5 genes encoding GDP-L-galactose phosphorylase, an enzyme involved in ascorbate biosynthesis, in Arabidopsis thaliana. Biosci. Biotech. Biochem. 75 1783–1788. 10.1271/bbb.110320 [DOI] [PubMed] [Google Scholar]
- Gatzek S., Wheeler G. L., Smirnoff N. (2002). Antisense suppression of L-galactose dehydrogenase in Arabidopsis thaliana provides evidence for its role in ascorbate synthesis and reveals light modulated L-galactose synthesis. Plant J. 30 541–553. 10.1046/j.1365-313X.2002.01315.x [DOI] [PubMed] [Google Scholar]
- Goodstein D. M., Shu S., Howson R., Neupane R., Hayes R. D., Fazo J., et al. (2012). Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res. 40 D1178–D1186. 10.1093/nar/gkr944 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grace S. C., Logan B. A. (1996). Acclimation of foliar antioxidant systems to growth irradiance in three broad-leaved evergreen species. Plant Physiol. 112 1631–1640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heid C. A., Stevens J., Livak K. J., Williams P. M. (1996). Real time quantitative PCR. Genome Res. 6 986–994. 10.1101/gr.6.10.986 [DOI] [PubMed] [Google Scholar]
- Innan H., Kondrashov F. (2010). The evolution of gene duplications: classifying and distinguishing between models. Nature Rev. Genet. 11 97–108. 10.1038/nrg2689 [DOI] [PubMed] [Google Scholar]
- Ioannidi E., Kalamaki M. S., Engineer C., Pateraki I., Alexandrou D., Mellidou I., et al. (2009). Expression profiling of ascorbic acid-related genes during tomato fruit development and ripening and in response to stress conditions. J. Exp. Bot. 60 663–678. 10.1093/jxb/ern322 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jensen R., Bassham J. (1966). Photosynthesis by isolated chloroplasts. Proc. Natl. Acad. Sci. U.S.A. 56:1095 10.1073/pnas.56.4.1095 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kotchoni S. O., Larrimore K. E., Mukherjee M., Kempinski C. F., Barth C. (2009). Alterations in the endogenous ascorbic acid content affect flowering time in Arabidopsis. Plant Physiol. 149 803–815. 10.1104/pp.108.132324 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Laing W. A., Wright M. A., Cooney J., Bulley S. M. (2007). The missing step of the L-galactose pathway of ascorbate biosynthesis in plants, an L-galactose guanyltransferase, increases leaf ascorbate content. Proc. Natl. Acad. Sci. U.S.A. 104 9534–9539. 10.1073/pnas.0701625104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li W.-H., Yang J., Gu X. (2005). Expression divergence between duplicate genes. Trends Genet. 21 602–607. 10.1016/j.tig.2005.08.006 [DOI] [PubMed] [Google Scholar]
- Linster C. L., Gomez T. A., Christensen K. C., Adler L. N., Young B. D., Brenner C., et al. (2007). Arabidopsis VTC2 encodes a GDP-L-galactose phosphorylase, the last unknown enzyme in the Smirnoff-Wheeler pathway to ascorbic acid in plants. J. Biol. Chem. 282 18879–18885. 10.1074/jbc.M702094200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu J., Chen N., Chen F., Cai B., Dal Santo S., Tornielli G. B., et al. (2014). Genome-wide analysis and expression profile of the bZIP transcription factor gene family in grapevine (Vitis vinifera). BMC Genomics 15:281 10.1186/1471-2164-15-281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu S., Liu Y., Yang X., Tong C., Edwards D., Parkin I. A., et al. (2014). The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes. Nat. Commun. 5 3930 10.1038/ncomms4930 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu T., Li Y., Zhang C., Qian Y., Wang Z., Hou X. (2012). Overexpression of FLOWERING LOCUS C, isolated from non-heading Chinese cabbage (Brassica campestris ssp. chinensis Makino), influences fertility in Arabidopsis. Plant Mol. Biol. Rep. 30 1444–1449. 10.1007/s11105-012-0469-8 [DOI] [Google Scholar]
- Lynch M., Conery J. S. (2000). The evolutionary fate and consequences of duplicate genes. Science 290 1151–1155. 10.1126/science.290.5494.1151 [DOI] [PubMed] [Google Scholar]
- Maruta T., Yonemitsu M., Yabuta Y., Tamoi M., Ishikawa T., Shigeoka S. (2008). Arabidopsis phosphomannose isomerase 1, but not phosphomannose isomerase 2, is essential for ascorbic acid biosynthesis. J. Biol. Chem. 283 28842–28851. 10.1074/jbc.M805538200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Massot C., Stevens R., Génard M., Longuenesse J.-J., Gautier H. (2012). Light affects ascorbate content and ascorbate-related gene expression in tomato leaves more than in fruits. Planta 235 153–163. 10.1007/s00425-011-1493-x [DOI] [PubMed] [Google Scholar]
- Melino V., Soole K., Ford C. (2009). A method for determination of fruit-derived ascorbic, tartaric, oxalic and malic acids, and its application to the study of ascorbic acid catabolism in grapevines. Aust. J. Grape Wine Res. 15 293–302. 10.1111/j.1755-0238.2009.00062.x [DOI] [Google Scholar]
- Müller-Moulé P. (2008). An expression analysis of the ascorbate biosynthesis enzyme VTC2. Plant Mol. Biol. 68 31–41. 10.1007/s11103-008-9350-4 [DOI] [PubMed] [Google Scholar]
- Müller-Moulé P., Golan T., Niyogi K. K. (2004). Ascorbate-deficient mutants of Arabidopsis grow in high light despite chronic photooxidative stress. Plant Physiol. 134 1163–1172. 10.1104/pp.103.032375 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nagaharu U. (1935). Genome analysis in Brassica with special reference to the experimental formation of B. napus and peculiar mode of fertilization. J. Jpn. Bot. 7 389–452. [Google Scholar]
- Nei M. (1996). Phylogenetic analysis in molecular evolutionary genetics. Annu. Rev. Genet. 30 371–403. 10.1146/annurev.genet.30.1.371 [DOI] [PubMed] [Google Scholar]
- Nishikimi M., Fukuyama R., Minoshima S., Shimizu N., Yagi K. (1994). Cloning and chromosomal mapping of the human nonfunctional gene for L-gulono-gamma-lactone oxidase, the enzyme for L-ascorbic acid biosynthesis missing in man. J. Biol. Chem. 269 13685–13688. [PubMed] [Google Scholar]
- Noctor G., Foyer C. H. (1998). Ascorbate and glutathione: keeping active oxygen under control. Annu. Rev. Plant Biol. 49 249–279. 10.1146/annurev.arplant.49.1.249 [DOI] [PubMed] [Google Scholar]
- Pavet V., Olmos E., Kiddle G., Mowla S., Kumar S., Antoniw J., et al. (2005). Ascorbic acid deficiency activates cell death and disease resistance responses in Arabidopsis. Plant Physiol. 139 1291–1303. 10.1104/pp.105.067686 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qian W., Liao B.-Y., Chang A. Y.-F., Zhang J. (2010). Maintenance of duplicate genes and their functional redundancy by reduced expression. Trends Genet. 26 425–430. 10.1016/j.tig.2010.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ren J., Chen Z., Duan W., Song X., Liu T., Wang J., et al. (2013). Comparison of ascorbic acid biosynthesis in different tissues of three non-heading Chinese cabbage cultivars. Plant Physiol. Biochem. 73 229–236. 10.1016/j.plaphy.2013.10.005 [DOI] [PubMed] [Google Scholar]
- Rensing S. A. (2014). Gene duplication as a driver of plant morphogenetic evolution. Curr. Opin. Plant Biol. 17 43–48. 10.1016/j.pbi.2013.11.002 [DOI] [PubMed] [Google Scholar]
- Sanmartin M., Drogoudi P. D., Lyons T., Pateraki I., Barnes J., Kanellis A. K. (2003). Over-expression of ascorbate oxidase in the apoplast of transgenic tobacco results in altered ascorbate and glutathione redox states and increased sensitivity to ozone. Planta 216 918–928. [DOI] [PubMed] [Google Scholar]
- Shannon P., Markiel A., Ozier O., Baliga N. S., Wang J. T., Ramage D., et al. (2003). Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13 2498–2504. 10.1101/gr.1239303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smirnoff N., Wheeler G. L. (2000). Ascorbic acid in plants: biosynthesis and function. Crit. Rev. Biochem. Mol. Biol. 35 291–314. 10.1080/10409230008984166 [DOI] [PubMed] [Google Scholar]
- Tabata K., Takaoka T., Esaka M. (2002). Gene expression of ascorbic acid-related enzymes in tobacco. Phytochemistry 61 631–635. 10.1016/S0031-9422(02)00367-9 [DOI] [PubMed] [Google Scholar]
- Tamaoki M., Mukai F., Asai N., Nakajima N., Kubo A., Aono M., et al. (2003). Light-controlled expression of a gene encoding L-galactono-γ-lactone dehydrogenase which affects ascorbate pool size in Arabidopsis thaliana. Plant Sci. 164 1111–1117. 10.1016/S0168-9452(03)00122-5 [DOI] [Google Scholar]
- Tamura K., Peterson D., Peterson N., Stecher G., Nei M., Kumar S. (2011). MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol. Biol. Evol. 28 2731–2739. 10.1093/molbev/msr121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang J., Wang F., Wang Z., Huang Z., Xiong A., Hou X. (2013). Characterization and co-expression analysis of WRKY orthologs involved in responses to multiple abiotic stresses in Pak-choi (Brassica campestris ssp. chinensis). BMC Plant Biol. 13:188 10.1186/1471-2229-13-188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tuskan G. A., Difazio S., Jansson S., Bohlmann J., Grigoriev I., Hellsten U., et al. (2006). The genome of black cottonwood, Populus trichocarpa (Torr. & Gray). Science 313 1596–1604. [DOI] [PubMed] [Google Scholar]
- Urzica E. I, Adler L. N., Page M. D. (2012). Impact of oxidative stress on ascorbate biosynthesis in Chlamydomonas via regulation of the VTC2 gene encoding a GDP-L-galactose phosphorylase. J. Biol. Chem. 287 14234–14245. 10.1074/jbc.M112.341982 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valpuesta V., Botella M. A. (2004). Biosynthesis of L-ascorbic acid in plants: new pathways for an old antioxidant. Trends Plant Sci. 9 573–577. 10.1016/j.tplants.2004.10.002 [DOI] [PubMed] [Google Scholar]
- Wang J., Yu Y., Zhang Z., Quan R., Zhang H., Ma L., et al. (2013). Arabidopsis CSN5B interacts with VTC1 and modulates ascorbic acid synthesis. Plant Cell 25 625–636. 10.1105/tpc.112.106880 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang X., Wang H., Wang J., Sun R., Wu J., Liu S., et al. (2011). The genome of the mesopolyploid crop species Brassica rapa. Nat. Genet. 43 1035–1039. 10.1038/ng.919 [DOI] [PubMed] [Google Scholar]
- Wang Y., Tang H., DeBarry J. D., Tan X., Li J., Wang X., et al. (2012). MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 40 e49 10.1093/nar/gkr1293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wheeler G. L., Jones M. A., Smirnoff N. (1998). The biosynthetic pathway of vitamin C in higher plants. Nature 393 365–369. 10.1038/30728 [DOI] [PubMed] [Google Scholar]
- Xu X., Liu M., Lu L., He M., Qu W., Xu Q., et al. (2015). Genome-wide analysis and expression of the calcium-dependent protein kinase gene family in cucumber. Mol. Genet. Genomics 290 1403–1414. 10.1007/s00438-015-1002-1 [DOI] [PubMed] [Google Scholar]
- Zhang Y. (2012). Ascorbic Acid in Plants: Biosynthesis, Regulation and Enhancement. Berlin: Springer Science & Business Media. [Google Scholar]
- Zhang Z., Wang J., Zhang R., Huang R. (2012). The ethylene response factor AtERF98 enhances tolerance to salt through the transcriptional activation of ascorbic acid synthesis in Arabidopsis. Plant J. 71 273–287. 10.1111/j.1365-313X.2012.04996.x [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.