Abstract
Among naturally occurring pigments, carotenoids are importantly involved in the photosynthesis of plants and responsible for the coloration of petals and fruits. Osmanthus fragrans Lour., a famous ornamental plant, has many cultivars with different flower color. Petal coloration in O. fragrans mainly depends on the kinds of carotenoids and their contents. To investigate the mechanism of flower coloration in different cultivars, an analysis of phenotypic classification, phytochemistry, as well as the expression of carotenoid metabolism genes based on different groups was performed in the present study. Two main clusters including the orange-red cluster containing Aurantiacus cultivars and the yellowish-white cluster containing the other three cultivar groups were classified using the CIEL∗a∗b∗ system. No significant differences in flavonoid contents were observed between these two clusters. However, carotenoids, especially α-carotene and β-carotene, were found to have crucial roles in the diversity of floral coloration among the different cultivars. Carotenoid compositions in the petals of cultivars from both clusters consisted of α-carotene, β-carotene, α-cryptoxanthin, β-cryptoxanthin, lutein, and zeaxanthin, but carotenoid accumulation patterns during the flowering process were different. The petals of the yellowish-white cultivars exhibited high contents of β-carotene, lutein and α-carotene, whereas the petals of the orange-red cultivars mainly contained β-carotene and α-carotene. The profound diversity in the total carotenoid concentrations in the two clusters was determined by the transcript levels of OfCCD4. Furthermore, the accumulation of upstream products with orange color in orange-red cultivars was partially due to the low expression of OfCHYB, whereas the relatively higher OfCHYB expression in the petals of the yellowish-white cultivars led to higher proportions of lutein, which is yellow. We also found that downregulation of OfLCYE, which encodes 𝜀-ring cyclase, indicated that the carotenoid flux of most cultivars mainly resulted in more β, β-branched products. Additionally, carotenoid biosynthesis in green tissues and petals was compared, revealing the tissue specificity of carotenoid accumulation in O. fragrans. Therefore, the effects of multiple genes on carotenoid accumulation give rise to the colorful O. fragrans.
Keywords: Osmanthus fragrans, cultivars, flower color, pigments, carotenoid biosynthesis
Introduction
Flower color is one of the most important traits of ornamental plants and is attributed to various pigments that can be divided into three major classes including flavonoids, carotenoids, and betalains (Grotewold, 2006). Among these pigments, carotenoids are responsible for the colors ranging from yellow to red (Tanaka et al., 2008).
Carotenoids, a group of hydrophobic pigments, are stored in differentiated plastids. In the chloroplasts of green tissues, carotenoids are essential in photosynthesis for functions such as photosystem assembly, light harvesting, and photoprotection (Domonkos et al., 2013), while non-green tissues, such as flowers, fruits and seeds, accumulate carotenoids in chromoplasts and display vivid colors. Carotenoids are precursors for vitamin A and play important roles not only in plants but also in human health (Asensi-Fabado and Munné-Bosch, 2010). More than 750 naturally occurring carotenoids which are mainly divided into carotenes and xanthophylls, have been identified from plants, animals, and microorganisms (Nisar et al., 2015). The carotenoid profiles in green tissues of most plant are similar, whereas those in non-green tissues are distinct and vary considerably depending on the plants species (Ohmiya, 2013; Yuan et al., 2015). Therefore, different regulatory mechanisms for carotenoid accumulation exist in various plant species or their tissues.
Carotenoid biosynthesis (Figure 1), as well as the related genes and enzymes, have been well elucidated in many plants (Nisar et al., 2015; Yuan et al., 2015). Generally, as a part of the terpenoid biosynthesis pathway, carotenoid biosynthesis originates from the condensation of isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP), which are generated in the methylerythritol phosphate (MEP) pathway (Rodríguez-Concepción, 2010). Through the catalysis of phytoene synthase (PSY), the first C40 carotenoid 15-cis-phytoene is synthesized with the head-to-head condensation of two molecules of C20 geranylgeranyl diphosphate (GGPP), which are produced from three IPP molecules and one DMAPP molecule. Colorless phytoene is converted into all-trans-lycopene, which has a bright red color, and then catalyzed by two dehydrogenases, phytoene desaturase (PDS) and ζ-carotene desaturase (ZDS), and two isomerases, ζ-carotene isomerase (Z-ISO) and carotenoid isomerase (CRTISO), respectively. Cyclization of lycopene is the branch point of carotenoid synthesis, in which orange α-carotene and β-carotene are generated through catalysis by 𝜀-ring cyclase (LCYE) or β-ring cyclase (LCYB). As precursor substances of xanthophylls, α-carotene and β-carotene are further hydroxylated by different types of hydroxylases. A P450-type 𝜀-ring hydroxylase (CHYE/CYP97C) and a P450-type β-ring hydroxylase (CHYB/CYP97A) are involved in the hydroxylation of α-carotene, yielding yellow lutein. In the β, β-branch of the carotenoid biosynthesis pathway, β-carotene is converted into β-cryptoxanthin and zeaxanthin sequentially through two hydroxylation reactions catalyzed by CHYB. Then, one β-ring of zeaxanthin is epoxidized by zeaxanthin epoxidase (ZEP), yielding antheraxanthin, which can be converted into violaxanthin. However, these two steps of epoxidation are reversible with the effect of violaxanthin de-epoxidase (VDE). Alternatively, violaxanthin can be catalyzed by neoxanthin synthase (NSY) to yield neoxanthin as the product in the final step of the β, β-branch.
In the catabolism pathway, carotenoids are enzymatically cleaved into various types of apocarotenoids (Figure 1). The 9-cis-epoxycarotenoid dioxygenases (NCEDs), which include five members in Arabidopsis specifically cleave 9-cis-violaxanthin and 9-cis-neoxanthin to yield the ABA precursor, xanthoxin (Tan et al., 2003). Distinctively, a broad range of carotenoids can be cleaved as substrates of carotenoid cleavage dioxygenases (CCDs). Among five CCDs, CCD1, CCD2 and CCD4 are involved in the production of apocarotenoid-derived pigments, flavors, and aromas (Huang et al., 2009; Baldermann et al., 2010; Ma et al., 2013; Cazzonelli, 2014; Frusciante et al., 2014), while CCD7 and CCD8 are related to the synthesis of strigolactones (Seto et al., 2014).
Osmanthus fragrans Lour., a famous ornamental tree, is appreciated for its pleasant scent, esthetic value, and edible flowers. Many O. fragrans cultivars have a long history of cultivation. In general, four groups including the Albus Group, Luteus Group, Aurantiacus Group, and Asiaticus Group are used to classifying these cultivars, mainly according to the flowering season and flower color (Xiang and Liu, 2007). According to previous research, both the flavonoid and carotenoid metabolism occurs in O. fragrans flowers (Mu et al., 2014). Different carotenoid composition and concentrations were found in the petals of ‘Zi Yingui’ (an Albus Group cultivar), ‘Jingui’ (a Luteus Group cultivar), and ‘Chenghong Dangui’ (an Aurantiacus Group cultivar) (Han et al., 2014). Furthermore, some genes related to carotenoid metabolism, including OfPSY, OfPDS, OfZDS, OfLCYE, OfLCYB, OfHYB, OfZEP, OfNCED, OfCCD1, and OfCCD4, in the petals of O. fragrans have been isolated and used for reverse transcription-polymerase chain reaction (RT-PCR) analysis (Huang et al., 2009; Baldermann et al., 2010; Han et al., 2013, 2014). Differential expression of the genes involved in downstream carotenoid synthesis and degradation, e.g., OfCCD4, has been suggested to be involved in the different carotenoid accumulation patterns of these three cultivars (Han et al., 2014). Additionally, abundant flavonoids have also been reported to exist in the petals of O. fragrans (Tsai et al., 2008; Hung et al., 2012; Chen et al., 2015), and studies on their metabolism regulation have been initiated by some researchers (Mu et al., 2014; Han et al., 2015). However, the contribution of flavonoid concentrations to the petal color of O. fragrans remains to be investigated.
Although previous literature has investigated carotenoids and expression of the related genes in Osmanthus fragrans, only one cultivar of each cultivar group in the previous research was used (Han et al., 2014). As we know, there are many cultivars of each cultivar group (Albus Group, Luteus Group, Aurantiacus Group, and Asiaticus Group), which have different ornamental trait including flower color. In our research, we used much more cultivars (24 cultivars, in total) from four groups; more carotenoid components were identified by high-performance liquid chromatography-atmospheric pressure chemical ionization-mass spectrometry (HPLC-APCI-MS) combined with authentic standards; and the expression analysis of key carotenogenic genes were selected from transcriptome sequencing of our previous research (Zhang et al., 2016). We also compared the contribution of carotenoids and flavonoids to flower coloration. Additionally, the carotenoid carotenogenic pathways in different tissues were compared to demonstrate the tissue-specific accumulation of carotenoids, which has not been reported. Eventually, we can systematically studied the relationship between the gene expression, carotenoid composition and the final phenotypes of flower color. Therefore, a better understanding of the mechanisms regulating coloration of O. fragrans flowers will be achieved.
Materials and Methods
Plant Materials
Twenty-four cultivars, belonging to the four cultivar groups of O. fragrans (Table 1) were selected for this study. Under identical planting conditions, these cultivars were grown in the germplasm repository for O. fragrans (located at 30°15′ 23″ N/ 119°43′ 37″ E) at Zhejiang Agriculture and Forestry University, Lin’an, China. The petals of those cultivars were collected at four developmental stages, including the linggeng stage (S1), initial flowering stage (S2), full flowering stage (S3), and late full flowering stage (S4) (Xiang and Liu, 2007) during the flowering period in September, 2015. In addition, different tissues of ‘Yanhong Gui,’ including young leaves (YL), mature leaves (ML), stems (S), flower buds (B) before S1 and petals (P) at S3 were also collected for further investigation. At least three biologic replicates of each cultivar were obtained and stored at -80°C. All samples were divided into two portions, including one portion that was dried for pigment analysis and another portion that was immediately frozen with liquid nitrogen for gene expression analysis.
Table 1.
Sample NO.a | Cultivars | RHSCC | CIEL∗a∗b∗ coordinate b |
Content (μg/g, DW) c |
|||||
---|---|---|---|---|---|---|---|---|---|
L∗ | a∗ | b∗ | C∗ | h | TC | TF | |||
A1 | ‘Xiaoye Sugui’ | 7B | 82.58 | –0.42 | 51.56 | 51.56 | –1.56 | 58.25 | 121699.15 |
A2 | ‘Zaoyin Gui’ | 4B4C | 83.36 | 0.44 | 36.46 | 36.47 | 0.30 | 63.98 | 146882.57 |
A3 | ‘Yu Linglong’ | 9A | 82.52 | 2.00 | 59.78 | 59.81 | 1.54 | 41.36 | 136464.86 |
A4 | ‘Wanyin Gui’ | 13A13B | 76.82 | 13.34 | 43.20 | 45.24 | 1.27 | 113.18 | 121446.44 |
A5 | ‘Jiulong Gui’ | 3D4C | 83.78 | –1.10 | 35.44 | 35.46 | –1.54 | 22.94 | 136687.44 |
A6 | ‘ZJNL-1’ | 6A6B | 82.70 | 0.30 | 52.02 | 52.02 | 0.94 | 93.69 | 81929.40 |
B1 | ‘Yuanban Jingui’ | 13B | 78.78 | 8.34 | 51.48 | 52.16 | 1.41 | 77.92 | 131221.35 |
B2 | ‘Hangzhou Huang’ | 7A7B | 79.22 | 5.00 | 51.94 | 52.18 | 1.47 | 42.16 | 131861.13 |
B3 | ‘Jinqiu Gui’ | 15B | 77.42 | 11.96 | 52.10 | 53.47 | 1.34 | 91.90 | 128406.90 |
B4 | ‘Liuye Jingui’ | 8B8C | 83.50 | –1.28 | 39.20 | 39.23 | –1.54 | 29.50 | 106370.27 |
C1 | ‘Wuyi Dangui’ | 28A | 64.66 | 37.22 | 34.92 | 51.05 | 0.75 | 5469.82 | 113004.01 |
C2 | ‘Mantiao Hong’ | N30C | 58.66 | 46.38 | 44.96 | 64.61 | 0.77 | 10392.69 | 106380.81 |
C3 | ‘Xionghuang’ | N25B | 63.78 | 38.96 | 46.08 | 60.35 | 0.87 | 3441.96 | 104520.67 |
C4 | ‘Zhuangyuan Hong’ | N30C | 58.52 | 47.74 | 43.76 | 64.76 | 0.74 | 9293.47 | 111360.40 |
C5 | ‘Chenghong Dangui’ | 30C | 60.76 | 45.64 | 46.46 | 65.15 | 0.79 | 8022.29 | 114087.32 |
C6 | ‘Zhusha Dangui’ | N25A | 58.58 | 45.82 | 45.72 | 64.75 | 0.78 | 6620.17 | 103333.33 |
C7 | ‘Yanhong Gui’ | N25B | 66.50 | 35.50 | 38.16 | 52.21 | 0.82 | 2521.70 | 99399.23 |
C8 | ‘Yingye Dangui’ | 23A | 71.84 | 25.54 | 50.60 | 56.69 | 1.10 | 593.91 | 137980.11 |
D1 | ‘Tianxiang Taige’ | 7B7C | 81.72 | 1.44 | 49.46 | 49.49 | 0.91 | 39.23 | 130844.07 |
D2 | ‘Foding Zhu’ | 3C | 84.82 | –3.56 | 47.96 | 48.10 | –1.50 | 31.40 | 113981.79 |
D3 | ‘Sijigui’ | 5C | 83.34 | –1.32 | 49.62 | 49.64 | –1.54 | 29.72 | 132941.73 |
D4 | ‘Tiannu Sanhua’ | 8A | 82.42 | 1.26 | 49.14 | 49.16 | 1.55 | 79.70 | 134407.06 |
D5 | ‘Rixiang Gui’ | 8B | 83.14 | –0.60 | 44.86 | 44.87 | –1.56 | 40.61 | 126458.33 |
D6 | ‘Chenghuang Sijigui’ | 5C | 82.58 | –0.16 | 50.46 | 50.47 | 0.32 | 33.95 | 142853.49 |
aA indicates Albus Group; B indicates Luteus Group; C indicates Aurantiacus Group; D indicates Asiaticus Group. bThe data were expressed by means of five replicates. cThe data were expressed by means of three replicates.
Flower Color Measurement
The colors of petals at the full flowering stage (S3) were described using the Royal Horticultural Society Color Chart (RHSCC) with white paper as the background under the same light condition. In addition, a Minolta CR-10 portable colorimeter (Konica Minolta, Japan) was used to measure the color parameters of these flowers. Parameters of the CIEL∗a∗b∗ color coordinate including lightness (L∗) and two chromatic components a∗ and b∗ were measured. Chroma C∗ and the hue angle h were calculated according to the equation: C∗ = (a∗2 + b∗2)1/2, h = arctan (b∗/a∗) (Gonnet, 1998). Five measurements of each cultivar were used as replicates.
Quantitative Determination of Flavonoids
Flavonoids in petals of O. fragrans at the full flowering stage (S3) were extracted with 70% methanol (containing 0.1% HCL) in darkness at 4°C for 16 h, and then the extracts were placed in an ultrasonic cleaner for 30 min. The mixture was centrifuged at 12,000 rpm for 5 min at 4°C. The supernatant was collected and filtered through a 0.22-μm micropore prior to HPLC-DAD and HPLC-MS analyses. The experiment was repeated three times for each cultivar.
The quantitative analysis of flavonoids was performed on the same Shimadzu HPLC system used for the carotenoid analysis. A C18 column of Inertsil ODS SP (4.6 mm × 250 mm, 5 μm, Shimadzu GL, Shanghai, China) was used to separate the individual flavonoids with mobile phase A (double distilled water containing 0.1% formic acid) and mobile phase B (acetonitrile containing 0.1% formic acid). The elution gradient was as follows: 0 min, 15% B; 9 min, 30% B; 20 min, 33% B; 37 min, 49% B; 40 min, 49% B; 43 min, 15% B; 50 min, 15% B. Then, 10 μL of the sample was injected for HPLC-DAD analysis. The flow rate was 0.8 mL/min, and the column temperature was set at 35°C. Flavonoids at 350 nm were detected, and UV spectra were scanned in the range of 190–800 nm. The total flavonoid content was defined as the sum of the contents of all flavonoid components, which was calculated based on a linear regression of rutin (y = 16250x + 57987, r2 = 0.9993) under the same chromatographic condition.
Quantitative Determination of Carotenoids
Extraction of total carotenoids was carried out following the method described by Delpino-Rius et al. (2014) with some modifications. Briefly, the first extraction of powdered samples was performed with methanol, and then hexane and a solution of NaCl (10%, w/v) were added in order. The mixture was continuously shaken until the plant material was colorless. Pooled organic phases were dried under nitrogen stream and saponified overnight using a 6% KOH methanolic solution. The carotenoids were subsequently reextracted with hexane: diethyl ether (3:1, v/v) repeatedly until the aqueous phase became colorless. The organic layers were combined and the solvent was removed under nitrogen stream. Extraction from sample of each cultivar was carried out in triplicate. Notably, all steps were performed in a dark room to avoid degradation and isomerization of carotenoids. Before HPLC-DAD and HPLC-MS analyses, the samples were dissolved in 2 mL of MTBE (methyl tert-butyl ether) with 50 μg/ml of the internal standard β-apo-8′-carotenal and filtered through a 0.22-μm micropore.
Carotenoids were quantified on a Shimadzu HPLC system (Kyoto, Japan) equipped with an LC-20AT pump, an SPD-M20A DAD detector, a CTO-10AS VP column oven, and an SIL-20A auto injector. Carotenoids were separated on a column of Inertsil C30 S-Selec (4.6 × 250 mm, 5 μm, Shimadzu GL, Shanghai, China) at a column temperature of 25°C and a flow rate of 0.8 mL/min. The injection volume of the filtered sample was 10 μL. The mobile phases consisted of solvent A (methanol) and solvent B (MTBE). The gradient elution program was set as follows: 0 min, 0% B; 18 min, 46% B; 35 min, 70% B; 37 min, 70% B; 40 min, 0% B; 47 min, 0% B. UV spectra were recorded from 190 to 800 nm, and carotenoids were analyzed at 450 nm. The contents of each carotenoid and total carotenoids were calculated according to the peak area ratios with β-apo-8′-carotenal.
Identification of Carotenoid Components
The major carotenoids were identified using an Agilent-1200 HPLC system equipped with a 6210 time-of-flight mass spectrometer (Agilent Technologies, Palo Alto, CA, United States). Atmospheric pressure chemical ionization (ApCI) was applied in positive ion mode for MS. The column, solvents, and gradient elution procedure were the same as those used in the HPLC-DAD analysis described above. The MS conditions were as follows: High purity nitrogen (99.999%) was used as a nebulizing (60 psi) and drying gas at a flow rate of 6 L/min. The vaporizer temperature and drying gas temperature were set at 450 and 300°C, respectively. Other parameters included a fragmentor voltage of 175 V, a skimmer voltage of 6 V, a capillary voltage of 3.5 kV and a corona current of 4 μA. The scan range was set from 100 to 1000 amu. The carotenoid components were preliminarily identified according to the mass spectrometry (MS) fragments and the UV-visible spectrum, including maximum absorption wavelengths (λmax) and spectral fine structure (%III/II). The final identification was carried out by comparison with reference data from authentic standards.
RNA Extraction and cDNA Synthesis
Extraction of total RNA from all samples was conducted using the RNAprep Pure Plant Kit (Tiangen, China). The RNA concentration and quality were measured on a 2100 Bioanalyzer RNA Nanochip (Agilent, Santa Clara, CA, United States), and then all RNA samples were adjusted to the same concentration. Additionally, the quality of the RNA was further verified using 1.5% (w/v) agarose gel electrophoresis and ethidium bromide staining. One microgram of total RNA was used to synthesize first-strand cDNA with the Reverse Transcriptase M-MLV (Takara, Dalian, China) according to the manufacturer’s protocol.
Quantitative Real-Time PCR Analysis
Quantitative real-time PCR analysis was performed using the Light Cycler 480 II (Roche, Switzerland). Sixteen genes related to carotenoid metabolism were selected from our previous study (Zhang et al., 2016). The primers for these genes and the OfACT gene (as an internal control) are shown in Supplementary Table S1. The reaction mixture (20 μL total volume) contained 10 μL of SYBR Premix Ex Taq (Takara, Dalian, China), 2 μL of diluted cDNA, 0.8 μL of each primer (10 μM) and 6.4 μL of ddH2O. The PCR program was carried out with an initial step of 95°C for 30 s and 40 cycles of 95°C for 5 s and 60°C for 30 s, followed by 95°C for 15 s, 60°C for 1 min and 95°C for 15 s for the dissociation stage. The reaction for each sample was performed in triplicate. The value of Cq was calculated by Light Cycler 480 software. The relative expression levels of the target genes were normalized to the relative expression level of OfACT using the 2-ΔCt method (Schmittgen and Livak, 2008).
Statistical Analysis
Hierarchical cluster analysis (HCA) with the between-group linkage method was used to classify different cultivars based on the parameters of flower color. Independent Sample T test and Least Significant Difference test were used to calculate statistical significance in Figures 4, 7, respectively. The relationships between the parameters of flower color and pigment content were determined using Pearson correlation analysis and multiple linear regression (MLR) which was carried out in a stepwise manner. In addition, Pearson correlation analysis was also used to investigate the relationships between the total carotenoid content and the relative expression levels of related genes at different flowering stages. Each statistical analysis was performed using IBM SPSS Statistics 19.0 (IBM, Armonk, NY, United States).
Results
Distributions of the 24 Cultivars Based on Flower Color
The flower colors of the 24 cultivars ranged from pale yellow to orange-red (Figure 2). The parameters of flower color are listed in Table 1. The RHSCC values of the Albus Group (3D-13A), Luteus Group (8C-13B) and Asiaticus Group (3C-8A) intersected, and the RHSCC values of the Aurantiacus Group, which ranged from 23A to N30C, were substantially higher than those of the other cultivar groups. HCA based on values of L∗, a∗, b∗, C∗ and h was performed to classify these cultivars. Figure 3C shows a dendrogram of the HCA of 24 the cultivars using the between-group linkage method. As the Euclidean distance was 10, the cultivars were divided into two clusters. The first cluster included all cultivars from the Aurantiacus Group, which was defined as the orange-red cluster, whereas the other three cultivar groups constituted the second cluster, which was defined as the yellowish-white cluster. When the Euclidean distance was between 0 and 5, these cultivars were divided more specifically. For instance, in the orange-red cluster, ‘Yingye Dangui’ (C8), which has a lighter orange color was alone in one class. Similarly, ‘Wanyin Gui’ (A4) from the yellowish-white cluster was in its own class due to its deeper yellow color.
The distributions of these two clusters based on CIEL∗a∗b∗ color coordinates were distinctly different. Figure 3A shows that the L∗ values (76.82–84.82) of the yellowish-white cluster were considerably higher than those (58.52–71.84) of the orange-red cluster. In addition, due to significantly higher a∗ values (25.54–47.74; the a∗ values in the yellowish-white cluster were in range of -3.56 to 13.34) in the orange-red cluster, the two clusters were clearly distinguishable in the two-dimensional quadrant of a∗ and b∗ (Figure 3B).
Pigment Contents and the Corresponding Relationships With Flower Color
The contents of total carotenoids (TCs) and total flavonoids (TFs) are listed in Table 1. Comparison of the pigment contents in the petals of different cultivars revealed that the total carotenoid contents in the petals of cultivars from the orange-red cluster (5794.50 ± 1213.23 μg/g, DW) were much higher than those of the yellowish-white cluster (55.59 ± 6.95 μg/g, DW) (Figure 4A). However, differences in the total flavonoid contents between the yellowish-white cluster (126528.50 ± 3905.42 μg/g, DW) and the orange-red cluster (111258.23 ± 4221.00 μg/g, DW) were not remarkable (Figure 4B).
To investigate the relationship between flower coloration and the pigment constituents of O. fragrans, a Pearson correlation analysis was performed in all O. fragrans cultivars, including the yellowish-white cultivars (A1–A6, B1–B4, and D1–D6) and the orange-red cultivars (C1–C8) (Table 2). The results showed significant correlations at the 0.01 level between TCs and the values of RHSCC, L∗ and a∗ in combinations of all cultivars, the yellowish-white cultivars and the orange-red cultivars. Among these parameters, the value of L∗ was negatively correlated with TCs, whereas the value of a∗ was positively affected by the TC content. The RHSCC number based on flower color tended to increase while TC increased (Table 2). For instance, the petals of cultivars including ‘Mantiao Hong’ (C2), ‘Zhuangyuan Hong’ (C4), ‘Chenghong Dangui’ (C5) and ‘Zhusha Dangui’ (C6), which had the lowest value of L∗ and the highest value of a∗, contained the highest concentrations of TCs. In addition, the TC content had a positive effect on the value of C∗ when all cultivars were evaluated together. In contrast, although significant correlations at the 0.05 level were observed between the TF content and the values of RHSCC, L∗ and a∗, the color parameters of the cultivars within the two clusters were not affected by TFs, indicating that the effect of the TF content on the flower color of O. fragrans is less important.
Table 2.
CIELab coordinate | All cultivars |
Yellowish-white cluster |
Orange-red cluster |
|||
---|---|---|---|---|---|---|
TCs | TFs | TCs | TFs | TCs | TFs | |
RHSCC | 0.862∗∗ | –0.456∗ | 0.659∗∗ | –0.027 | 0.899∗∗ | –0.245 |
L∗ | –0.918∗∗ | 0.489∗ | –0.686∗∗ | –0.073 | –0.914∗∗ | 0.611 |
a∗ | 0.901∗∗ | –0.479∗ | 0.740∗∗ | 0.089 | 0.916∗∗ | –0.617 |
b∗ | –0.267 | 0.175 | 0.146 | –0.085 | –0.056 | 0.490 |
C∗ | 0.713∗∗ | –0.374 | 0.209 | –0.087 | 0.690 | –0.120 |
h/O | 0.224 | –0.017 | 0.613∗ | 0.135 | –0.759∗ | 0.773∗ |
∗Correlation is significant at the 0.05 level. ∗∗Correlation is significant at the 0.01 level.
Carotenoid Components and Their Contribution to Flower Color
Six carotenoid components were detected in the petals of O. fragrans via HPLC-DAD and HPLC-APCI-MS. Figure 5 shows the separation of these carotenoids in the HPLC chromatogram. The structures of these carotenoids were identified according to the mass spectra and UV-vis absorption spectra data (Table 3) (Rivera and Canela-Garayoa, 2012; Van Breemen et al., 2012). Due to the loss of m/z 18 u in the fragments, peaks c1, c3 and c4 were identified as hydroxylated carotenoids. Among these three components, peak c1 had a protonated molecule at m/z 569, which was identical to lutein and zeaxanthin. This peak was eventually confirmed to be lutein by a corresponding standard. In addition, peak c2 was identified as zeaxanthin by comparison with the retention time and UV-vis absorption spectra of a commercial standard. Peaks c3 and c4 had the same protonated molecules and similar fragmentation patterns. Peak c4 was assigned to β-cryptoxanthin by co-elution with the commercial standard. Additionally, peak c3 was tentatively identified as α-cryptoxanthin according to the literature (Rivera et al., 2014). Although peaks c5 and c6 were protonated at m/z 537 and produced the fragment at m/z 457 [M + H-80]+ (loss of methyl-cyclopentadiene), they were easily distinguished according to the UV-visible spectrum. Additionally, authentic standards were used to confirm the identities of peaks c5 and c6 as α-carotene and β-carotene, respectively.
Table 3.
Peak | tR(min) | λmax (nm) | % (III/II) | (+) APCI-MS2 (m/z) | Tentative compound | Reference |
---|---|---|---|---|---|---|
c1 | 15.05 | 444, 471 | 63 | 569.4[M + H]+, 551.4[M + H-18]+ | Lutein | Standard |
c2 | 16.54 | 450, 476 | 25 | 569.4[M + H]+ | Zeaxanthin | Standard |
c3 | 18.99 | 440, 470 | 23 | 553.4[M + H]+, 535.4[M + H-18]+, 461.4[M + H-72]+ | α-Cryptoxanthin | Rivera et al., 2014 |
c4 | 19.86 | 450, 475 | 33 | 553.4[M + H]+, 535.4[M + H-18]+, 461.4[M + H-72]+ | β-Cryptoxanthin | Standard |
c5 | 21.46 | 445, 472 | 62 | 537.4[M + H]+, 457.4[M + H-80]+ | α-Carotene | Standard |
c6 | 23.18 | 451, 476 | 31 | 537.4[M + H]+, 457.4[M + H-80]+ | β-Carotene | Standard |
Corresponding to TCs, the contents of all carotenoid components in the petals of cultivars from the orange-red cluster were also considerably higher than those of the yellowish-white cluster (Supplementary Table S2). To ascertain the major carotenoid constituents contributing to O. fragrans flower color, a MLR analysis was performed. Because L∗ and a∗ were the main values distinguishing the cultivars and were largely affected by the carotenoids level. These two parameters were selected as the dependent variables, and the proportions of the six carotenoid components among the TCs were set as the independent variables. The MLR results were as follows (P < 0.05).
L∗ = 97.184-0.528∗α-carotenoid-0.287∗β-carotenoid (R2= 0.860)
a∗ = -28.336 + 1.103∗ α-carotenoid + 0.556∗ β-carotenoid (R2= 0.877)
Therefore, according to the equations based on the MLR analysis, α-carotenoid and β-carotenoid were considered the predominant carotenoid components affecting the flower color of O. fragrans, both of which had a negative effect on the value of L∗, and a positive effect on the value of a∗.
Changes in Carotenoid Concentrations During Flowering Development
Since carotenoids were the dominate pigments affecting the flower coloration of O. fragrans, changes in carotenoid compositions and contents of the 24 cultivars during the flowering process were further analyzed. Therefore, total carotenoids and the six carotenoid components in the petals at the four flowering stages were used for quantitative analysis by HPLC-DAD (Supplementary Figures S1–S7). The concentrations of the six carotenoid components and TCs in the petals of orange-red cultivars (the petals of ‘Yingye Dangui,’ an Aurantiacus Group cultivar with a lighter color, at S1 was an exception) were always higher than those of yellowish-white cultivars during the flowering process. The total carotenoid contents of most cultivars from the Luteus Group (‘Liuye Jingui,’ which has pale yellow flowers was an exception) and Aurantiacus Group tended to increase during flowering development, with the largest concentration observed at S4 (Supplementary Figure S1). However, except for ‘Wanyin Gui’ with deeper yellow flowers, the TC levels of the other cultivars from the Albus Group increased initially and then decreased at S4.
Proportional changes in the carotenoid components were also different among the cultivars (Figure 6). In the petals of orange-red cultivars, β-carotene and α-carotene were present in the highest amounts among all carotenoid constituents. For most of the yellowish-white cultivars, β-carotene was the predominant component, followed by lutein and α-carotene, e.g., many cultivars contained more lutein than α-carotene. Furthermore, ‘Jiulong Gui’ and ‘Chenghuang Sijigui’ of this cluster contained higher levels of lutein (38.10 and 29.98%) than β-carotene (23.44 and 27.05%) at S3. As the major carotenoid component in O. fragrans petals, β-carotene concentrations increased and became greater than α-carotene concentrations during the flowering process in most cultivars, while the relative contents of α-carotene were not consistent in yellowish-white cultivars and obviously decreased in orange-red cultivars. The accumulation patterns of the four xanthophyll constituents, α-cryptoxanthin, β-cryptoxanthin, lutein and zeaxanthin, also differed depending on the cultivars. Lutein, which is the final product of the β, 𝜀-branch, exhibited decreased relative contents in the petals of yellowish-white cultivars and remained in very low proportions in orange-red cultivars, although the concentrations were higher in the latter group (Supplementary Figure S6). The content of zeaxanthin, which is the downstream product of the β, β-branch, also tended to decrease during the flowering process. On the other hand, the levels of α-cryptoxanthin and β-cryptoxanthin which are the intermediate products of the β, 𝜀-branch and β, β-branch, respectively, were also significantly different in the two clusters based on flower color. Due to the continuous increase in the α-cryptoxanthin content, the final concentrations of β-cryptoxanthin in the petals of orange-red cultivars were lower than the α-cryptoxanthin concentrations but relatively higher than the lutein concentrations. However, for the yellowish-white cluster, both α-cryptoxanthin and β-cryptoxanthin accumulated at dramatically lower levels than lutein (Supplementary Figures S4–S6).
Relationship Between Gene Expression and Carotenoid Composition
According to our previous research (Zhang et al., 2016), 16 genes involved in the carotenoid metabolism pathway were selected for analysis of their expression levels in the petals of the 24 cultivars at the four flowering stages (Supplementary Figures S8–S23). To explore the contributions of gene expression profiles to carotenoid accumulation in O. fragrans, a Pearson correlation analysis was performed between relative gene expression levels and total carotenoid contents at the four flowering stages (Table 4). Among the carotenoid biosynthetic genes, the expression of OfZDS1 was positively correlated (P < 0.05) with TCs at S2 and S3. OfCHYE1 expression had a significant correlation only with carotenoid accumulation at S2. For the genes involved in carotenoid degradation, OfNCED3 expression unexpectedly showed a highly positive correlation (P < 0.01) with the total carotenoid concentration. Notably, a significant negative correlation was observed between OfCCD4-1 expression and carotenoid accumulation throughout the first three flowering stages. In addition, the expression levels of OfCCD4-1 in cultivars from the yellowish-white cluster were much higher than those in orange-red cultivars (Supplementary Figure S23), which showed an inverse correlation with the accumulation patterns of total carotenoids (Supplementary Figure S1).
Table 4.
Gene | Different flowering stages |
|||
---|---|---|---|---|
S1 | S2 | S3 | S4 | |
OfPSY1 | –0.162 | –0.183 | 0.041 | –0.276 |
OfPDS1 | 0.197 | 0.079 | 0.068 | –0.205 |
OfZ-ISO1 | –0.134 | 0.270 | 0.016 | –0.157 |
OfZDS1 | –0.012 | 0.499∗ | 0.486∗ | –0.208 |
OfCRTISO | 0.055 | 0.253 | 0.304 | 0.044 |
OfLCYE1 | –0.028 | –0.090 | –0.154 | –0.163 |
OfLCYB1 | –0.155 | 0.227 | –0.051 | –0.137 |
OfCHYE1 | –0.122 | 0.459∗ | –0.109 | –0.019 |
OfCHYB2 | –0.159 | –0.345 | –0.179 | –0.217 |
OfZEP1 | –0.151 | –0.007 | –0.106 | –0.125 |
OfVDE1 | –0.096 | –0.262 | –0.175 | –0.226 |
OfNSY1 | –0.166 | 0.192 | –0.049 | –0.142 |
OfNCED3 | 0.195 | 0.057 | 0.087 | 0.589∗∗ |
OfCCD1-1 | –0.169 | –0.139 | –0.123 | –0.242 |
OfCCD1-2 | –0.137 | –0.059 | –0.125 | –0.156 |
OfCCD4-1 | –0.446∗ | –0.534∗∗ | –0.522∗∗ | –0.346 |
∗Correlation is significant at the 0.05 level. ∗∗Correlation is significant at the 0.01 level.
To explain the different proportions of carotenoid components in the two clusters, the expression levels of related genes in two branches were compared. In our research, although the expression patterns of OfLCYB1 in different cultivars showed no regularity, OfLCYE1 expression tended to decrease in most cultivars (Supplementary Figures S13, S14). Therefore, the expression levels of OfLCYE1 became much lower than those of OfLCYB1 during the flowering process, especially at S3 and S4. Additionally, OfCHYB2 expression was observed to be lower in most cultivars from the orange-red cluster than that in cultivars from the yellowish-white cluster, while the expression levels of OfCHYE1, OfZEP1, and OfVDE1 showed no significant differences between the two clusters.
Diversity of Carotenoid Composition and Gene Expression in Different Tissues
An Aurantiacus cultivar, ‘Yanhong Gui,’ which has abundant carotenoids in its flowers was used to compare the carotenoid compositions in different tissues. According to the HPLC chromatograms (Supplementary Figure S24) of carotenoid extracts from young leaves, mature leaves, stems, flower buds and petals, the TC content in the petals was substantially higher than those in the other tissues. Stems and buds contained the lowest levels of TCs. The proportions of each component among the TCs in these tissues were significantly different (Figure 7). In the petals, α-carotene (33.41%) and β-carotene (54.73%) were the main constituents, whereas lutein and zeaxanthin only accounted for 1.13 and 0.48% of the TC content, respectively. In contrast, lutein accounted for 45.97 – 66.93% of the TC content in green tissues, representing the most abundant component in these green tissues. Meanwhile, zeaxanthin accounted for 2.27 – 6.14% of the TC content in green tissues, also reflecting a higher proportion than that in petals, which contained higher relative contents of α-cryptoxanthin and β-cryptoxanthin.
To examine the regulation of carotenoid accumulation in different tissues, the differential expression levels of carotenoid biosynthetic genes were analyzed (Figure 8). Consistent with TC accumulation patterns, OfPSY1, OfPDS1, OfZ-ISO1, OfZDS1, and OfCRTISO in the upstream pathways were highly expressed in the petals compared with their expression levels in the other tissues. Considering the genes related to the β, 𝜀- and β, β-branches, the expression profiles of OfLCYB1 in almost all tissues were higher than those of OfLCYE1. The expression levels of downstream genes, such as OfCHYE1, OfCHYB2, and OfZEP1, which are involved in xanthophyll biosynthesis, were much higher in the green tissues. In addition, OfVDE1 expression in leaves was also higher than that in petals. Regarding the genes of the degradation pathway, the expression levels of OfCCD1-1 and OfCCD1-2 were a negatively correlated with the concentration of carotenoids, whereas the expression levels of OfNCED3 and OfCCD4-1, which were highly expressed in petals, showed no correlation with the TC content.
Discussion
Pigment Compositions Contributed to the Coloration of Petals
Flower color has been an superficial characteristic used for classification of O. fragrans cultivars. Traditionally, the colorific distinctions of three autumn cultivar groups were described based on the range of the RHSCC (Xiang and Liu, 2007). In our study, the flower colors of many cultivars were consistent with their affiliations with cultivar groups, whereas some cultivars belonging to the Albus Group and Luteus Group had unclear classifications. For instance, the cultivars in the Albus Group, such as ‘Yu Linglong’ (an RHSCC value of 9A) showed a yellow flower color, while ‘Wanyin Gui’ (RHSCC value of 13A-13B) had deep yellow flowers. However, the flower colors of ‘Hangzhou Huang’ (RHSCC value of 7A-7B) and ‘Liuye Jingui’ (RHSCC value of 8B-8C) in the Luteus Group were very pale. Combined with the results of the CIEL∗a∗b∗ system, all cultivars in the Aurantiacus Group, which exhibited a reddish color, were defined as one cluster, whereas the other three groups were classified together and can not be distinguished due to the similarity of their lighter colors. Some controversy exists in the classification of some cultivars in the Albus Group and Luteus Group, and some modification should probably be applied for further cultivar distinction. Therefore, follow-up research focused on the differences between the two major clusters.
Red flower can be produced by high concentrations of carotenoids, anthocyanins, or a combination of both pigments (Tanaka et al., 2008; Yuan et al., 2013; Ng and Smith, 2016a,b). According to our investigation, no chromatographic peak under 520 nm was detected, indicating that no anthocyanins were present in the tested cultivars, even in the cultivars with reddest flowers in the Aurantiacus Group. The absence of anthocyanins is consistent with previous work by Han et al. (2015), who found that OfANS was not detected in either ‘Dangui’ (Aurantiacus) or ‘Yingui’ (Albus). Abundant flavonoids were detected in the petals, but little difference was observed in the quantity of flavonoids among the cultivar groups. Significant correlations between carotenoid concentrations and parameters of color phenotypes were observed not only in cultivars from different color groups but also in cultivars within the same color group, leading to the conclusion that carotenoids play a predominant role in producing distinct colors in different O. fragrans cultivars, which is consistent with previous research (Han et al., 2013, 2014). Furthermore, the coloration effects of flavonoid components, such as rutin, isoquercitrin, quercitrin, and quercitrin reported in the petals of O. fragrans (Hung et al., 2012; Chen et al., 2015), were much weaker than those of carotenoids producing colors ranging from vivid yellow to bright red. Therefore, in some cultivars of the Albus Group or the Luteus Group, flavonoids can confer their very pale-yellow color only when the carotenoid concentration is extremely low (Tanaka et al., 2008). Taken together, the difference in the flower coloration of O. fragrans are mainly attributable to the level of carotenoids, and the color of petals becomes more reddish and deeper with the accumulation of carotenoids. Flavonoids were speculated to provide only background color in O. fragrans flowers.
The Carotenogenic Pathway in Petals of Different Cultivars
Many plant species can accumulate special carotenoid constituents in their flowers, such as astaxanthin in the blood-red flowers of Adonis annua and Adonis aestivalis (Seybold and Goodwin, 1959; Cunningham and Gantt, 2011), capsanthin in orange and red tepals of lily (Jeknić et al., 2012), and lutein epoxides in and yellow petals of chrysanthemum (Kishimoto et al., 2004). Previous research has reported small amounts of β-carotene in the petals of ‘Zi Yingui’ (an Albus Group cultivar), high concentrations of lutein and β-carotene as well as low levels of α-carotene in the petals of ‘Jingui’ (a Luteus Group cultivar), and abundant α-carotene and β-carotene in the petals of ‘Chenghong Dangui’ (an Aurantiacus Group cultivar), representing the main carotenoid components in O. fragrans flowers (Han et al., 2014). In our present study, six carotenoid components were detected in the petals of 24 O. fragrans cultivars, providing specific information on metabolic products to study the flux of carotenoid biosynthesis in the two groups of cultivars (Figures 9A,B). Without considering the differences in total carotenoid concentrations between the cultivar groups, we found that the petals of yellowish-white cultivars exhibited high contents of β-carotene, lutein and α-carotene (in order from higher to lower levels), while the petals of orange-red cultivars contained much higher levels of β-carotene and α-carotene than any other constituents. Additionally, the β-carotene content in the β, β-branch increased during flowering and ultimately showed the highest content in most cultivars. According to many reports, the balance of products in the β, 𝜀-branch and β, β-branch was affected by the activities of LCYB and LCYE, which determine the carotenoid composition in many plant species (Moehs et al., 2001; Kishimoto and Ohmiya, 2006; Chiou et al., 2010; Yamamizo et al., 2010). In the petals of O. fragrans, higher levels of OfLCYE were found in ‘Jingui’ than in ‘Zi Yingui’ and ‘Chenghong Dangui’ (Han et al., 2014). Considering the populations consisting of many cultivars, the expression of OfLCYB1 as well as OfLCYE1 showed no significant differences between the two clusters in our research. However, the distribution of the carotenoid flux was due to decreased levels of OfLCYE1. representing a limitation for β, 𝜀-carotenoid production and accounting for the decreased concentrations of α-carotene in orange-red cultivars of O. fragrans, and reduced lutein levels in yellowish-white cultivars. Comparison of the different O. fragrans groups revealed no obvious differences in the transcriptional levels of downstream genes of xanthophyll biosynthesis such as CHYE, ZEP, VDE and NSY. However, down-regulation of OfCHYB2 in orange-red cultivars led to the accumulation of upstream products. In contrast, the higher proportions of lutein in yellowish-white cultivars were attributable to relatively higher OfCHYB2 expression. Similarly, CHYB played an important role in the diverse carotenoid compositions of yellow and orange Oncidium cultivars (Chiou et al., 2010). As reported in tomato and Ipomoea plants, CHYB is a key enzyme responsible for carotenoid concentrations in white petals and yellow petals (Galpaz et al., 2006; Yamamizo et al., 2010). Therefore, differential expression of OfCHYB2 was speculated to be one of factors impacting the total carotenoid levels in O. fragrans.
The total carotenoid concentrations showed notable diversity between the two color groups of O. fragrans. The transcript abundance of only a few synthetic genes and degradation genes was correlated with the accumulation patterns of total carotenoids at different flowering stages. Among the upstream genes, OfZDS1 expression was positively correlated (P < 0.05) with total carotenoids at two flowering stages (Table 4), while in the downstream pathway, OfCHYE1 levels showed positive correlations with total carotenoids at the half opening stage. ZDS was reported to be involved in the high lycopene concentration in carrot root of red cultivars (Clotault et al., 2008). The function of CHYE was confirmed in both an Arabidopsis lut5 mutant and orange-rooted carrots with defective CYP97A3, which caused accumulation of α-carotene (Kim and DellaPenna, 2006; Arango et al., 2014). NCEDs are involved in the degradation of carotenoids and the production of ABA, which participates in the senescence of flowers (Trivellini et al., 2011; Lü et al., 2014). At the last flowering stage, the positive correlation (P < 0.01) between the transcriptional levels of OfNCED3 and the total carotenoid contents did not seem to be the most important factor for carotenoid accumulation; the most crucial factor determining the diversity of carotenoid concentrations was the differential expression level of OfCCD4-1, which showed a significant correlation with the total carotenoid content throughout nearly all flowering process. Similar to ‘Zi Yingui’ (Han et al., 2014), up-regulated levels of OfCCD4-1 in the petals of yellowish-white cultivars in this study, led to considerably lower concentrations of each component compared with those in orange-red cultivars. Reportedly, CCD4 also has a significant effect on carotenoid accumulation in chrysanthemum petals, potato tubers, and yellow-fleshed and white-fleshed peaches (Ohmiya et al., 2006; Campbell et al., 2010; Brandi et al., 2011; Rodrigo et al., 2013). The enzymatic activities of CCD1 and CCD4 are responsible for the cleavage of double bonds in multiple carotenoid substrates at different sites and for the manifestation of some flavors and aromas (Huang et al., 2009; Baldermann et al., 2010). As shown in Figure 9A, higher levels of cleavage products, such as α-ionone and β-ionone released from flowers of cultivars in the Albus Group, Luteus Group and Asiaticus Group (Xin et al., 2013; Cai et al., 2014), were consistent with the expression patterns of OfCCD4-1. However, two transcripts of OfCCD1 were expressed in different cultivars, without an obvious relation with the carotenoid concentration, even though OfCCD1 has powerful activity against α-carotene and β-carotene (Baldermann et al., 2010), probably because CCD1 enzymes are located in the cytosol while carotenoids in petals mainly accumulate in chromoplasts, thus providing limited substrates for catalysis (Frusciante et al., 2014).
The Carotenogenic Pathway in Different Tissues
Carotenoids can be classified as ‘chloroplast-type carotenoids’ and ‘chromoplast-type carotenoids,’ based on their locations in different types of plastids (Yamamizo et al., 2010). These carotenoids have distinct functions; chloroplast-type carotenoids are mainly produced in photosynthetic tissues such as leaves and are essential pigments involved in photosynthesis, while chromoplast-type carotenoids which mainly accumulate in flowers and fruits, conferring yellow, orange and red colors to attract insects and animals for pollination or seed dispersal (Cazzonelli and Pogson, 2010; Yuan et al., 2015). In our study, while large amounts of β-carotene and α-carotene accumulated in the flowers of ‘Yan Honggui,’ lutein followed by β-carotene and zeaxanthin were the main carotenoid components of leaves, stems and flower buds. As shown in Figure 9C, downstream genes such as OfCHYE1, OfCHYB2, OfZEP1, and OfVDE1 showed higher expression levels in green tissues, especially in leaves. Among carotenoids, since lutein, β-carotene, violaxanthin, neoxanthin and zeaxanthin are typically stored in leaves (Cazzonelli and Pogson, 2010), lutein and zeaxanthin have been suggested to be the most effective xanthophylls participating in photoprotection by quenching excited intermediates such as triplet chlorophylls and singlet oxygen molecules (Dall’Osto et al., 2010; Domonkos et al., 2013). Therefore, the carotenoid composition in the green tissues of O. fragrans can exert a protective function. Additionally, chromoplast-type carotenoids are mostly present in the esterified form for the sequestration of carotenoids into chromoplasts, whereas the chloroplast-type carotenoids which are primarily present in free form (Yamamizo et al., 2010), can likely be catalyzed due to high OfCCD1 expression in green tissues. This degradation may be involved in the final carotenoid concentrations.
Compared with green tissues, the abundant carotenoids in the petals of ‘Yan Honggui’ as well as other Aurantiacus Group cultivars were attributable not only to lower expressions levels of downstream genes and degradation genes but also to up-regulated expression levels of genes in the upstream pathway, including OfPSY1, OfPDS1, OfZ-ISO1, OfZDS1, and OfCRTISO. Notably, the combination of a high lutein percentage in flower buds, higher proportions of α-carotene, β-carotene, α-cryptoxanthin and β-cryptoxanthin in the petals of Aurantiacus Group cultivars, as well as decreased lutein levels in yellowish-white cultivars, indicated that a shift from ‘chloroplast-type carotenoids’ to ‘chromoplast-type carotenoids’ occurs during the flowering process.
Transcriptional Regulation of Carotenogenic Genes and the Assumed Phylogeny of O. fragrans Cultivars
In summary, the present study suggested that different carotenoid compositions among O. fragrans cultivars were mainly due to differential expression levels of downstream genes such as OfLCYE1 and OfCHYB2. Additionally, profound diversity in total carotenoid concentrations was identified by the transcript levels of OfCCD4-1. Considering the specificity of carotenoid biosynthesis in different tissues of O. fragrans, determination of the carotenoid compositions and concentrations depended on almost all the genes related to the corresponding pathways (Figure 9). Therefore, transcriptional regulation of carotenogenic genes plays an important role in carotenoid production in O. fragrans. The transcript levels of many carotenoid-related genes could be regulated by multiple factors. Reportedly, the promoters of GlPDS, GlZDS, GlLYCB, GlLYCE, GlBCH, and GlZEP isolated from Gentiana lutea contained cis-regulatory motifs responding to methyl jasmonate (CGTCA) and ethylene (ATCTA) (Zhu et al., 2014). In addition to these two phytohormones, auxin and ABA affect carotenoid accumulation in tomato fruits directly or by regulating fruit ripening related transcription factors (Liu et al., 2012, 2015). The carotenogenic gene promoters also show tissues-specific activities, leading to the regulation of these genes during developmental changes from non-chromoplast-containing tissues to chromoplast-containing tissues (Dalal et al., 2010; Yang et al., 2012; Zhu et al., 2014). In addition, transcription factors may participate in regulating the structure genes involved in carotenoid metabolism, which have been reported in some plants. For example, RCP1, an R2R3-MYB identified in Mimulus lewisii flowers, can positively regulate the entire carotenoid biosynthesis pathway (Sagawa et al., 2016). In Citrus plants, CrMYB68 (an R2R3-MYB transcriptional factor) and CsMADS6 (an MADS transcription factor) are involved in carotenoid metabolism by directly binding to the promoters of carotenogenic genes (Zhu et al., 2017; Lu et al., 2018). OfWRKY3 isolated from the petals of O. fragrans is a positive regulator of OfCCD4 (Han et al., 2016). However, information of transcription factors in O. fragrans is relatively limited. Therefore, to elucidate the mechanism generating the in transcriptional diversity of carotenogenic genes, more transcription factors must be isolated in O. fragrans. Carotenoid metabolism involves multiple influencing factors and is a complex process. In addition to the mechanisms described above, carotenoid accumulation in O. fragrans may also be controlled by a feedback effect, enzyme activity, sink capacity and epigenetic inheritance (Cazzonelli and Pogson, 2010; Zhu et al., 2010; Yuan et al., 2015), which should to be investigated in the future.
The variations in carotenoid metabolism in different O. fragrans cultivars are speculated to be closely related to cultivars’ genetic backgrounds. Genetic relationships among different cultivar clusters have been investigated using molecular markers, but no consistent conclusions have been reached. For example, using amplified fragment length polymorphism (AFLP) markers, the closest genetic relationship was suggested to exist between the Luteus group and the Aurantiacus group, and the Asiaticus group had a distant relationship with the other three autumn groups (Yuan et al., 2011). However, when microsatellite markers were used to classify O. fragrans cultivars, the result revealed that cultivars in the Asiaticus and Albus groups, which are less differentiated from wild O. fragrans, were genetically mixed, whereas cultivars in the Luteus and Aurantiacus groups were partially genetically differentiated (Duan et al., 2013). In our study, many cultivars in the Albus Group, Luteus Group, and Asiaticus Group showed high similarity based on phytochemistry analysis as well as transcriptional levels of related genes. Many O. fragrans cultivars originated from wild O. fragrans through crossbreeding as well as mutation (Xiang and Liu, 2007). Our previous study found that a mutant with phenotypes of the Aurantiacus group contained extremely higher concentrations of α-carotene, β-carotene as well as total carotenoids in the petals compared to those in the stock plant, a cultivar from the Luteus group (Wang et al., 2017). In the petals of Mimulus lewisii, the presence and absence of carotenoids is controlled by a single QTL at the YUP locus (Bradshaw and Schemske, 2003). In other plants such as cucumber, an SNP codes for an amino acid change in a gene encoding a putative β-carotene hydroxylase, leading to extensive accumulation of β-carotene in wild cucumber fruit from the Xishuangbanna group, while the cultivated populations usually contain limited carotenoid contents (Qi et al., 2013). Since the Y locus regulates carotenoid accumulation in carrot taproot, both yellow and dark orange carrots rather than white carrots have a frameshift mutation in DCAR_032551, which contains a 212-nt insertion in its second exon (Iorizzo et al., 2016). In addition, insertion of transposable elements in CCD4 of Brassica species (Zhang et al., 2015) or loss of CmCCD4a in the chrysanthemum genome (Ohmiya et al., 2006) are also responsible for generating yellow petals by interfering with carotenoid degradation. Consequently, we can speculate that variations in some genes may have occurred during plant domestication, thus affecting the formation of cultivars based on specific phenotypes. However, this speculation requires investigation in further research.
Conclusion
In this research, selected O. fragrans cultivars of four groups were divided into two clusters: an orange-red cluster and a yellowish-white cluster. Carotenogenic pathways in both clusters tended to generate β, β-branched products due to down-regulated OfLCYE1. In the orange-red cluster, low expression levels of downstream genes and carotenoid cleavage gene such as OfCCD4 caused extensive accumulation of carotenoids (especially α-carotenoid and β-carotenoid), resulting in a reddish flower color. In the yellowish-white cluster, high expression levels of downstream genes such as OfCHYB2 resulted in conversion of more α-carotenoid into lutein, and up-regulated OfCCD4 reduced the total carotenoid content, which led to the formation of a pale petal color (white or yellow). Compared with green photosynthetic tissues, up-regulated genes in the upstream pathway as well as down-regulated downstream genes caused tissue-specific accumulation of chromoplast-type carotenoids in the orange-red petals of O. fragrans. This work revealed the flower coloration patterns of different O. fragrans cultivars, which were affected by distinct carotenoid metabolism processes.
Author Contributions
HZ and CZ designed the research. YW and CZ performed the experiments. YW, BD, and JF analyzed the data and results. YW wrote the paper. HZ, CZ, BD, JF, and SH revised the paper.
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.
Footnotes
Funding. This work was supported by the National Natural Science Foundation of China (Grant No. 31501790) and Zhejiang Provincial Major Program of New Cultivar Breeding (Grant No. 2016C02056-12).
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2018.01499/full#supplementary-material
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