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Carotenoid accumulation during tomato fruit ripening is modulated by the auxin-ethylene balance

BMC Plant Biology volume 15, Article number: 114 (2015) Cite this article

Abstract

Background

Tomato fruit ripening is controlled by ethylene and is characterized by a shift in color from green to red, a strong accumulation of lycopene, and a decrease in β-xanthophylls and chlorophylls. The role of other hormones, such as auxin, has been less studied. Auxin is retarding the fruit ripening. In tomato, there is no study of the carotenoid content and related transcript after treatment with auxin.

Results

We followed the effects of application of various hormone-like substances to “Mature-Green” fruits. Application of an ethylene precursor (ACC) or of an auxin antagonist (PCIB) to tomato fruits accelerated the color shift, the accumulation of lycopene, α-, β-, and δ-carotenes and the disappearance of β-xanthophylls and chlorophyll b. By contrast, application of auxin (IAA) delayed the color shift, the lycopene accumulation and the decrease of chlorophyll a. Combined application of IAA + ACC led to an intermediate phenotype. The levels of transcripts coding for carotenoid biosynthesis enzymes, for the ripening regulator Rin, for chlorophyllase, and the levels of ethylene and abscisic acid (ABA) were monitored in the treated fruits. Correlation network analyses suggest that ABA, may also be a key regulator of several responses to auxin and ethylene treatments.

Conclusions

The results suggest that IAA retards tomato ripening by affecting a set of (i) key regulators, such as Rin, ethylene and ABA, and (ii) key effectors, such as genes for lycopene and β-xanthophyll biosynthesis and for chlorophyll degradation.

Background

Auxin and ethylene are hormones known to impact plant development, often with antagonistic roles. Auxin exerts pleiotropic effects, on the development of roots, shoots, flowers and fruits [1]. Ethylene is one of the plant hormones regulating the ripening of fruits, the opening of flowers, and the abscission of leaves. Tomato is a model plant for the study of climacteric fruit development, which is promoted by ethylene [2]. Observations of tomato fruits and some non-climacteric fruits, like grape berry and strawberry, have suggested that ripening is also regulated by auxin, since they can delay ripening and regulate gene expression [3-6]. However, the impact of auxin on tomato ripening has not been extensively studied, as previous works using exogenous auxin [3,6] do not study carotenoid accumulation and related gene expression. Moreover in the plant kingdom, the crosstalk between auxin and ethylene is not yet deciphered [7].

Color change from green to red is a very important indicator of tomato ripening and can easily be measured by chromametry [8]. This change is associated with the degradation of chlorophylls and the shift of the carotenoid composition from leaf-like xanthophylls (mainly lutein and neoxanthin) to carotenes (mainly phytoene, lycopene and β-carotene) as described by Fraser et al. [9]. In the fruit tissues, the degradation of chlorophylls is slow, while the accumulation of red carotenoids is rapid [10] when checked by time lapse imaging. The carotenoid biosynthetic pathway in tomato is well described [11,12] and is detailed on Figure 1. The first committed step is the condensation of two molecules of geranylgeranyl diphosphate (GGPP) to form the colorless carotene 15-cis-phytoene, a reaction catalyzed by phytoene synthases (PSY); 15-cis-phytoene is then desaturated and isomerized to all-trans-lycopene through the action of two desaturases and two isomerases: phytoene desaturase (PDS), ζ-carotene desaturase (ZDS), prolycopene isomerase (CRTISO) and ζ-carotene isomerase (ZISO). The formation of δ-carotene and γ-carotene from lycopene are catalyzed by lycopene ε-cyclase (ε-LCY) and β-cyclases (β-LCY and CYC-β), and then the orange α - carotene and β-carotene are synthetized by β-cyclases. Finally, these carotenes are transformed into lutein and zeaxanthin by heme and non-heme β-carotene hydroxylases (CYP97 and CRTR-b). Zeaxanthin is converted to violaxanthin by the action of zeaxanthin epoxidase (ZEP) and further to neoxanthin by the action of the NXD and ABA4 proteins. These two xanthophylls are cleaved by 9-cis-epoxycarotenoid dioxygenase (NCED), a key enzyme in the biosynthesis of ABA [13].

Figure 1
figure 1

Carotenoid biosynthetic pathway based on a previous study [12]. Names of intermediate compounds are in black and names of enzymes are in red. IPP = isopentenyl diphosphate, GGPS = GGPP synthase, GGPP = geranyl-geranyl pyrophosphate, PSY = phytoene synthase, PDS = phytoene desaturase, ZISO = zeta-carotene isomerase, ZDS = zeta-carotene desaturase, CRTISO = carotenoid isomerase, ε-LCY = lycopene ε-cyclase, β-LCY = lycopene β-cyclase, CRTR-β = β-carotene hydroxylase, ZEP = zeaxanthin epoxydase, NXD = neoxanthin synthase, CHL = chlorophyllases, ABA = abscisic acid.

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For the purpose of this article, the pathway will be divided into two parts, upstream of lycopene and downstream of lycopene (Figure 1). In the upstream part, the key rate-limiting steps are catalyzed by PSY1, PDS, ZDS, ZISO and CRTISO [9,14,15]. The expression of Psy1, Ziso, Crtiso is directly regulated by the ripening inhibitor (RIN) protein, which is a member of the MADS-box family of transcription factors [16,17]. In the downstream part, lycopene cyclases (ε-LCY, β-LCY/CYC-β) are also key enzymes, catalyzing the transformation of lycopene to δ- and β- carotene [18-21].

To study the role of cross-talk between auxin and ethylene in the accumulation of carotenoid pigments in tomato fruits, we treated mature green fruits with the auxin indole acetic acid (IAA) and the ethylene precursor aminocyclopropane carboxylic acid (ACC), alone or in combination, and also with p-chlorophenoxy isobutyric acid (PCIB). The latter compound is an antagonist of auxin action, although its mechanism of action is not well characterized [22]. The effects of these treatments on color change, pigment content and on the levels of transcripts involved in carotenoid biosynthesis were studied.

Results and Discussion

Contrasting effects of ethylene and auxin on tomato fruit color

The hormonal treatments induced significant color changes within 96 hours (Figure 2). Treatment with ACC accelerated significantly the transition from green to orange/red compared to controls. On the contrary, treatment with IAA induced a significant delay in the transition from green to orange/red compared to controls. After 96 h, IAA-treated fruits began to turn orange and then never became red (data not shown).

Figure 2
figure 2

A) Changes of tomato color as a function of time after hormonal treatments. IAA: indole acetic acid, ACC: aminocyclopropane carboxylic acid (ethylene precursor), PCIB: p-chlorophenoxy isobutyric acid (auxin antagonist). The color bar next to the Y axis gives an indication of the relation between Hue angle and fruit color, but it is not the exact color of the fruit on the CIELab scale. n = 6 biological replicates, LSD bars calculated at 0.05 level. B) Pictures of tomatoes 96 h after hormonal treatments.

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In fruits treated with a combination of ACC and IAA, color evolution was slower than in controls, but faster than the fruits treated by IAA alone, indicating that IAA treatment is epistatic over ACC treatment. In the presence of the auxin antagonist PCIB, fruits turned red faster than control ones and the color change kinetics were very similar to those treated with ACC (Figure 2A). These results confirmed previous studies showing that IAA slows down ripening of tomato fruits [2,6], and that ACC accelerates it [2].

Effects of hormonal treatments on carotenoid, chlorophyll and ABA accumulation

To further investigate the influence of hormonal treatments on fruit pigment composition, fruit extracts were analyzed. At 96 hours, the main carotenoids in control fruits were lutein and β-carotene (Figure 3). Large amounts of chlorophylls a and b were observed, together with trace amounts of lycopene, violaxanthin, neoxanthin, luteoxanthin, ζ-, δ- and α-carotene. The upstream compounds phytoene and phytofluene were not detectable. This composition is typical of a ripening stage between the “Breaker” and “Orange” stages of ripening [41].

Figure 3
figure 3

Carotenoid [A] and chlorophyll [B] contents 96 h after hormonal treatments. Abbreviations are as in Figure 2. n = 3 biological replicates, error bars are standard errors. An asterisc (*) shows a significant difference at 0.05 level using t-test between control and the corresponding treatment.

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The ACC and PCIB treatments induced large changes in carotenoid composition at 96 hours (Figure 3). Lycopene was greatly induced, becoming a major pigment, together with β-carotene which was also induced and lutein which was unaffected. The upstream compounds phytoene, phytofluene and ζ-carotene and the downstream compounds δ- and α-carotene were also induced, while the β-xanthophylls, neoxanthin and violaxanthin were reduced.

The IAA treatment reduced significantly lycopene accumulation compared to controls while it did not affect α-, β- or δ-carotene accumulation. It also led to higher levels of neoxanthin, violaxanthin and chlorophyll a than in the controls (Figure 3).

The 9-cis forms of neoxanthin and violaxanthin are the precursors of abscisic acid (ABA) [23,24], a phytohormone known to control ripening of many fruits, including tomato, in which it triggers ethylene biosynthesis and thus accelerates ripening [25]. ABA levels were decreased by the ACC and PCIB treatments and increased by the IAA treatment (Figure 4), mimicking the evolution of neoxanthin/violaxanthin, thus suggesting that the accumulation of these compounds might be directly correlated. This observation is consistent with the idea that in the tomato fruit, levels of neoxanthin and violaxanthin are rate-limiting for ABA accumulation [26]. Finally, the ACC and PCIB treatments led to an increased degradation of chlorophyll b (Figure 3).

Figure 4
figure 4

Variations of free ABA levels and ABA glucoside 96 h after hormonal treatments. Abbreviations are as in Figure 2. n = 5 biological replicates, error bars are standard errors. Asteriscs, * or ** show significant differences at the 0.05 or 0.01 levels compared to controls, respectively (t-test).

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Our results detail the auxin effects on carotenoid accumulation, thus completing preliminary observations that were not detailing this aspect [6]. Our results also detail carotenoid changes induced by ACC, following previous studies showing that ethylene treatments accelerated chlorophyll degradation, the appearance of orange color [10,27] and the accumulation of lycopene [28]. It is noticeable that PCIB, which acts as an auxin antagonist, induced the same effects as ACC.

Effects of hormonal treatments on gene expression

In order to investigate if the above hormone-induced phenotypes were controlled at least partially at the gene expression level, we determined the levels of all transcripts involved in carotenoid biosynthesis by quantitative Real Time PCR (qPCR) at two different times after the hormonal treatments (Figure 5).

Figure 5
figure 5

Modulation of transcript accumulation related to carotenoid pathway, A) upstream of lycopene, B) downstream of lycopene, 24 h or 96 h after hormonal treatments (see abbreviations in legend of Figure 2). n = 3 biological replicates, bars = std errors. Expression relative to controls (set at 0). An asterisc (*) shows significant differences at the 0.05 level with controls (t-test).

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As observed in Figure 5A, IAA treatment resulted in lower transcript levels for most of the genes upstream of lycopene (Psy1, Psy3, Pds, Ziso and Crtiso). With the exception of Psy3 which has been reported to be mainly expressed in roots, all these genes are rate-limiting for lycopene accumulation [15]. Thus, these changes in transcript levels match well the slower color change and the decreased accumulation of lycopene after treatment with IAA (Figures 2 and 3). Regarding the downstream part of the pathway (Figure 5B), the transcript levels of β-Lcy1 and Crtr-β1 genes were induced by IAA treatment, concomitant with the higher amounts of violaxanthin and neoxanthin, while Aba4 showed a biphasic response (induction at 24 h and repression at 96 h) and Nced1 a repression at 96 h. Together, these observations indicate that the ABA increase after IAA treatment is a fast response, probably due to an increase in the synthesis of its precursors violaxanthin and neoxanthin, mediated by an activation of the β-Lcy1, Crtr-β1 and Aba4 genes. The repression of Aba4 and Nced1 at 96 h may be due to a negative feedback regulation exerted by the increased ABA levels on these genes. ABA is known to increase in tomatoes prior to the ethylene peak [25].

ACC treatment led to higher levels of Psy1 and Psy2 transcripts, and also, to a lesser extent, of the Ziso, Pds, Zds and Crtiso ones (Figure 5A). All these genes encode rate-limiting steps for lycopene biosynthesis [15] and thus the observed changes in gene expression are in agreement with the faster color change and accelerated lycopene accumulation (Figures 2 and 3). Moreover, ACC treatment decreased β-Lcy1 transcript levels (Figure 5B) with unexpected increase of α-, β- and δ- carotenes, indicating that the β-Lcy1 repression was possibly offset by the unaltered levels of the other cyclase transcripts. ACC also repressed Crtr-β2 expression that was not offset by the unaltered Crtr-β1 levels, reducing the further conversion of carotene compounds into β-xanthophylls. This was confirmed by the reduced neoxanthin and ABA levels after ACC treatment (Figures 3 and 4), in spite of an induction of Aba4. It is also worth noticing that IAA and ACC affected the expression of two different hydroxylase paralogs, Crtr-βi being stimulated by IAA and Crtr-β2 being inhibited by ACC, respectively. Overall, these data explain the faster accumulation of lycopene and β-carotene, and also the lower accumulation of β-xanthophylls and ABA in ACC treated fruits than in controls.

Similar changes in transcript levels occurred in PCIB-treated fruits (Figure 5), which showed an additional repression of β-Lcy2 and an induction of Zep, as well as a very similar carotenoid profile (Figure 3) to the ACC-treated samples. There was no significant effect of any treatment on Ggps expression (Figure 5A and Additional file 1: Figure S1).

The combined IAA + ACC treatment resulted in a visual and carotenoid phenotype intermediate between those of each treatment alone and more similar to that of IAA alone, with the exception of violaxanthin, neoxanthin and ABA induction, which was less pronounced than in IAA alone (Figures 2, 3 and 4). At the transcriptional level, IAA + ACC was less inhibitory of upstream transcripts than IAA alone. Although the significance of these observations awaits clarification, it confirms the antagonistic effects of the two hormones at the biochemical and transcriptional levels.

Chlorophyll degradation in Citrus fruits is an active process mediated by chlorophyllase (Chlase) [29]. In tomato, chlorophyll degradation was affected by hormonal treatments, with IAA treatment retarding chlorophyll a degradation, both alone and in combination with ACC treatment, while chlorophyll b degradation was accelerated by both ACC and PCIB treatments (Figure 3). We measured the levels of the three Chlase transcripts identified in the tomato genome. Repression of all three transcripts was obvious 96 h after the IAA treatment (Figure 6). This correlates well with the higher levels of chlorophyll a and to a lesser extent of chlorophyll b, in both treatments with IAA (Figure 3). However, the marked decrease of chlorophyll b in the ACC and PCIB treatments does not correlate with increased Chlase transcript accumulation (Figure 6). This suggests that, in contrast to Citrus [29], tomato Chlase gene expression is not under ethylene control and that, as observed in Citrus [30], posttranscriptional mechanisms may also regulate Chlase activity in tomato.

Figure 6
figure 6

Modulation of chlorophyllase transcripts, 96 h after hormonal treatments (see abbreviations in legend of Figure 2). n = 3 biological replicates. Expression relative to controls (set at 0). Error bars are standard errors. An asterisc (*) shows significant differences the 0.05 level with controls (t-test).

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Effects of hormonal treatments on the Rin transcript and on transcripts of the carotenoid/ABA pathway

Several genes in the carotenoid pathway are regulated by the Rin transcription factor [16,17]: Psy1, Ziso and Crtiso display direct positive regulation, Zds indirect positive regulation, and ε-Lcy and β-Lcy2 indirect negative regulation. Analyses carried out by qPCR (Figure 7A) showed that the transcript levels of Rin were stimulated by ACC and inhibited by IAA, even if the sole significant difference was noticed for ACC 96 h. The qPCR profiles of Rin (Figure 7A) and Psy1 (Figure 5A) seem to match quite well. Indeed, in keeping with the findings of Fujisawa et al. [17], high positive correlations (ρ > 0.60, and in some cases ρ > 0.80) were observed between transcript levels of Rin and Psy1 at both 24 h and 96 h, Ziso and Crtiso at 96 h, and ZDS at 24 h (Figure 7B).

Figure 7
figure 7

A) Modulation of the Rin transcript 24 h or 96 h after various hormonal treatments (see abbreviations in legend of Figure 2). n = 3 biological replicates. Expression relative to controls (set at 0). Error bars are standard errors. B) Correlation coefficients between Rin and other transcripts shown in Figure 5.

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In contrast, ε-Lcy did not show high correlations with Rin neither at 24 h nor at 96 h, while β-Lcy2 showed strong positive correlations at both time points. This contrasts with the findings of Fujisawa et al. [17] and suggests that lycopene cyclase transcripts are subject to additional layers of regulation. Strong positive correlations with Rin were identified for Pds and Zep at 24 h and for ABA4 at 96 h. The latter two genes mediate the biosynthesis of the ABA precursors, violaxanthin and neoxanthin (Figure 1), and thus their positive correlations with Rin may be indicative of the fact that Rin activates two hormonal cascades: one acting through ethylene [16], and one acting through ABA. Finally, Ggps4 showed a negative correlation with Rin levels at 96 h. This gene is unrelated to fruit carotenoid biosynthesis and may control the biosynthesis of other isoprenoid compounds (Falcone et al., unpublished).

Effects of hormonal treatments on fruit ethylene production

Ethylene is assumed to be a “master switch” controlling tomato fruit ripening. Therefore, it is interesting to verify if the hormonal treatments described above alter ethylene production. We measured ethylene production in hormone-treated fruits at various times after treatments (Figure 8). As expected, ACC treatment accelerated the appearance of the climacteric ethylene peak by about 2 days whereas IAA treatment repressed the ethylene production, and this repression was only partially reversed by combined IAA + ACC treatments. PCIB treatment had little effect up to 100 hours after treatment, while it slightly decreased ethylene production around 200 hours. So it seems that PCIB enhancement of carotenoid accumulation in comparison to controls (Figure 2) is not mediated by a variation in ethylene production. The IAA decrease of carotenoid accumulation in comparison to controls could be partially mediated by the repression of ethylene production.

Figure 8
figure 8

Variations in ethylene production after the hormonal treatments (see abbreviations in legend of Figure 2). n = 3 biological replicates, error bars are LSD at the 0.05 level.

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Factorial and network analyses show associations between hormonal treatments and carotenoid levels

Factorial analyses are used to determine and describe the dependencies within sets of variables. In this study the treatments, and many observed variations, in this study the transcript levels (Figure 9A) or the carotenoid levels (Figure 9B). These factorial correspondence analyses clearly show strong positive correlation between the effects of ACC and PCIB, and their negative correlation to the effects of IAA treatment, whatever the regulatory level measured: transcript accumulation or carotenoid accumulation. It is noticeable that, at the transcript level, the IAA + ACC treatment is strongly correlated with the ACC and PCIB ones (Figure 9A), while at the carotenoid composition level - which matches the fruit phenotype more closely - it is correlated with the IAA treatment (Figure 9B). This may be due to the fact that changes in transcript accumulation occur ahead of those in metabolite accumulation, or to the fact that some of the latter changes are due to post-transcriptional events, or to both.

Figure 9
figure 9

Factorial correspondence analyses with data 96 h after hormonal treatments, A) transcript accumulation and B) carotenoid and metabolite content. Abbreviations are as in Figures 1 and 2.

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The transcripts correlating with the ripening delay associated to IAA treatment are lycopene cyclases (ε and β-Lcy) and, to a lesser extent, carotene hydroxylases (Crtr-β) (Figure 9A). These results confirm previous studies [18-21]. All transcripts mediating lycopene biosynthesis in tomato fruits: Psy1, Pds, Ziso, Zds, and Crtiso [15] correlate well with the accelerated ripening induced by ACC or PCIB. Also Psy3, which is much less expressed and is non-essential for lycopene biosynthesis, shows a position opposed to IAA treatment (Figure 9A) as it was strongly repressed by IAA at 96 h (Figure 5A). Same case for the position of Chlase transcripts in Figure 9A which is mainly due to the strong inhibition by IAA, rather than to a stimulation by ACC. Regarding carotenoids, the accumulation of upstream intermediates and lycopene and, to a lesser extent, of α-, β-, and δ-carotene is correlated directly with ACC and PCIB treatments. Inversely IAA and IAA + ACC treatments correlate well with chlorophylls and xanthophylls, (especially violaxanthin and neoxanthin) and their product ABA (Figure 9B). This is consistent with the fact that ripening is associated with the accumulation of cyclic carotenes and with the decrease of chlorophylls and xanthophylls.

We also applied correlation network analysis based on transcript-metabolite data integration (Figure 10). The time spent after treatments increased the strength in the network [31], and at 96 h the network shows four nodes with strong correlation values (|ρ| > 0.60) (Additional file 2: Table S2): ABA, its metabolic precursors violaxanthin and neoxanthin and Nxd, a gene essential for neoxanthin biosynthesis [33]. All four nodes exhibited a prevalence of negative correlations with the other ripening-specific variables in the network.

Figure 10
figure 10

Correlation networks at 24 h and 96 h, generated as previously described [31]. In all network diagrams, nodes of different shape represent genes and metabolites. Direct and inverse corrlations ≥ |0.60| are shown as red and blue edges, respectively. Edge thickness is proportional to the absolute values of the Pearson correlation coefficient (|ρ|), while node sizes are proportional to node strengths [31] (Additional file 2: Table S2). n = number of nodes, NS = network strength [31]. Nodes related to carotenoids are shown in red, to chlorophyll in green, to ABA in yellow, neoxanthin and violaxanthin (ABA precursors) in orange, Rin in grey. The “organic layout” was used for network visualization with Cytoscape 2.6.3 (www.cytoscape.org) [32].

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Conclusions

Our results suggest that ACC treatment induces lycopene and α-, β- and δ-carotene accumulation by inducing Psy1, and repressing β-Lcy1 and Crtr-β2. These transcriptional responses are fast, reaching a peak at 24 h.

On the other hand, treatment with IAA represses several upstream carotenoid transcripts (Psy, Ziso, Pds, Crtiso) as well as Chlases 1-3 and promotes the accumulation of β-Lcy1 and Crtr-β1 transcripts, leading to higher levels of chlorophyll a, neoxanthin, violaxanthin and ABA. These responses show a temporal curve: Ziso and some downstream transcripts (Crtr-β1 and ABA4) respond already at 24 h, while most other transcripts (Psy1 to β-Lcy1) respond later, at 96 h. This response could be due to the fact that downstream transcripts respond directly to auxin, while upstream transcripts respond to the repression of ethylene production induced by IAA treatment (Figure 8). Treatment with PCIB (an auxin antagonist) led to responses similar to those obtained after ACC treatment, confirming the antagonism between ethylene and auxin. Interestingly, while IAA completely repressed ethylene production, PCIB did not increase it (Figure 8) indicating that endogenous auxin does not play a major role in regulating ethylene production during normal ripening. The repression of ethylene production and the induction of Crtr-β1 by exogenous IAA supplementation were epistatic over ACC supplementation when both treatments were given together, while the final phenotype of the fruits did not show a clear epistasis of IAA over ACC supplementation.

Factorial and correlation network analyses allowed the identification, at 96 h, of transcriptional and metabolite “hubs” which may represent central regulators; these comprised ABA, its carotenoid precursors (violaxanthin and neoxanthin) and the Nxd gene, leading to neoxanthin biosynthesis. Overall, these data suggest a central role for ABA as a negative intermediate regulator in the perturbation of tomato fruit ripening following auxin and ethylene treatments.

Methods

Plant materials and growth conditions

Tomato plants (Solanum lycopersicum cv. MicroTom) were grown under standard greenhouse conditions. The culture chamber room was set as follows: 14-h day/10-h night cycle, 25/20°C day/night temperature, 80% relative humidity, 250 μmol m-2 s-1 light intensity. Tomato seeds were first sterilized 5 min in sterile water and sown in Magenta vessels containing 50 ml 50% Murashige and Skoog (MS) culture medium and 0.8% (w/v) agar, pH 5.9 [34].

Treatments of tomato fruits

Tomato fruits were harvested at the mature green stage of development and injected with a buffer solution contained 10 mM MES, pH 5.6, sorbitol (3% w/v) and 100 μM of ACC, or IAA, or IAA + ACC (100 μM each), or PCIB (all Sigma-Aldrich products). Preliminary tests were performed with concentrations ranging from 1 μM to 1 mM, in order to choose the minimal concentration impacting the ripening kinetics without showing toxic effects. Buffer injection was performed as described previously [35]. Briefly, tomato fruits were infiltrated using a 1 ml syringe with a 0.5 mm needle, inserted 3 to 4 mm into the fruit tissue through the stylar apex. The infiltration solution was gently injected into the fruit until the solution ran off the stylar apex and the hydathodes at the tip of the sepals. Only completely infiltrated fruits were used in the experiments. Controls were treated with buffer only. After the treatment, fruits were incubated in a culture room at 26°C, under 16 h light/8 h dark cycle with a light intensity of 100 μmol s-1 m-2. After 24 h and 96 h, fruits pericarp was collected and frozen at -80°C until further analysis. For each condition, 27 fruits were sampled arising from 9 different plants.

Color and pigment measurement

Surface color was assessed with a Chromameter (CR400, Konica Minolta), using the D65 illuminant and the L*, a*, b* space, and the data were processed to obtain Hue as previously described [8]. In the culture room, the fruit color was measured after 6 h, 48 h, 96 h and some fruit were kept up to 8 days for assessing this parameter. Three measures were taken at the equator of each fruit, before being averaged. The Hue angle (in degrees) was calculated according to the following equations: Hue = tan-1 (b*/a*) if a > 0 and 180 + tan-1 (b*/a*) if a < 0. For pigment analysis, fruit samples were chosen at 96 h after treatment with IAA, ACC, IAA + ACC, PCIB and ground to a fine powder in liquid nitrogen. Pigments (chlorophylls/carotenoids) were extracted from freeze-dried tissues and analyzed as described previously [36] using an Accela U-HPLC system coupled to an Orbitrap high-resolution mass spectrometer (HRMS) operating in positive mode-atmospheric pressure chemical ionization (APCI) (Thermo Fischer Scientific, Waltham, MA).

ABA and ethylene assays

The ABA assays were performed as described previously [37]. Briefly, 110 mg of frozen tissue, sampled at 96 h after treatments, were extracted at 4°C for 30 min with 400 μl of H2O with 10% methanol + 1% acetic acid. The internal standard was [2H6] labelled ABA. The extract was centrifuged at 13,000 g for 10 min at 4°C. The supernatant was carefully removed and the pellet re-incubated for 30 min with 400 μl of methanol-acetic acid mix. Following the centrifugation, the supernatants were pooled. Extracts were then analysed by LC-MS using an Acquity UPLC coupled to a XevoQtof (Waters, Massachusetts, USA). Analysis parameters were described in Jaulneau et al. [38]. Fruit ethylene production was assayed as previously described [36]. The fruit ethylene production was measured after 6 h, 48 h, 96 h and some fruit were kept up to 8 days in the culture room for assessing this parameter.

RNA isolation and quantitative PCR (qPCR)

Total fruit RNA was extracted using the PureLink™ Plant RNA Reagent (Invitrogen) according to the manufacturer’s instructions. On fruit sampled at 24 and 96 h, total RNA was treated by DNase I to remove any genomic DNA contamination. First-strand cDNA was reverse transcribed from 2 μg of total RNA using an Omniscript kit (Qiagen). qPCR analyses were performed as previously described [39]. The primer sequences are listed in Additional file 3: Table S1. Relative fold changes were calculated using SI-actin as housekeeping gene. As for pigment analyses, three independent RNA isolations were used for cDNA synthesis. Efficiency of DNAse was assessed by PCR with actin primers designed on both size of a zone with an intron, thus giving two bands if genomic DNA is still present.

Factorial analyses of correspondence, correlation networks and statistics

We used transcript accumulation relative to controls under the ∆∆Ct format to get only positive values, and the carotenoid accumulation levels were calculated relative to controls. The factorial analyses of correspondence were calculated with the explore.xla Excel macro developed previously [40]. Correlation networks were built as previously described [31]. Networks were visualized as organic layouts with Cytoscape version 2.6.3 (www.cytoscape.org) [32]. When LSD are presented they were calculated using Tukey’s HSD.

Abbreviations

ABA:

Abscisic acid

ACC:

Aminocyclopropane carboxylic acid

CHLASE:

Chlorophyllases

CRTISO:

Carotenoid isomerase

CRTR-β:

β-carotene hydroxylase

IAA:

Indole acetic acid

IPP:

Isopentenyl diphosphate

GGPS:

GGPP synthase

GGPP:

Geranyl-geranyl pyrophosphate

ε-LCY:

Lycopene ε-cyclase

β-LCY:

Lycopene β-cyclase

NXD:

Neoxanthin synthase

PCIB:

p-chlorophenoxy isobutyric acid

PDS:

Phytoene desaturase

PSY:

Phytoene synthase

ZEP:

Zeaxanthin epoxydase

ZDS:

Zeta-carotene desaturase

ZISO:

Zeta-carotene isomerase*

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Acknowledgements

We are grateful to Dr Bo Burla, University Hospital Zürich, for the generous gift of some ABA glucosyl ester. The work benefited from the networking activities within the European COoperation in Science and Technology Action FA1106. We thank Dominique Saint-Martin (Université de Toulouse, Institut National Polytechnique-Ecole Nationale Supérieure Agronomique de Toulouse (INP-ENSAT) Laboratoire de Génomique et Biotechnologie des Fruits (GBF) for tomato cultures, and the staff of the Toulouse Genomics plateform (GenoToul) for their assistance with qPCR. This work was supported by the French Laboratory of Excellence project “TULIP” (ANR-10-LABEX-41; ANR-11-IDEX-0002-02), by the Italian Ministry of Research (“Integrated Knowledge for the Sustainability and Innovation of Italian Agri-Food” Project) and by the European Commission (FP7 Project “From discovery to products: A next generation pipeline for the sustainable generation of high-value plant products”, contract n. 613513; H2020 Project "Traditional tomato varieties and cultural practices: a case for agricultural diversification with impact on food security and health of European population", contract n. 634561). LS was supported by a CSC PhD grant.

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Authors and Affiliations

  1. Université de Toulouse, INP-ENSA Toulouse, UMR990 Génomique et Biotechnologie des Fruits, Avenue de l’Agrobiopole, CS 32607, F-31326, Castanet-Tolosan, France

    Liyan Su, Mohamed Zouine, Jean-Paul Roustan, Mondher Bouzayen & Christian Chervin

  2. INRA, UMR990 Génomique et Biotechnologie des Fruits, 24 Chemin de Borde Rouge, CS 52627, F-31326, Castanet-Tolosan, France

    Mohamed Zouine, Jean-Paul Roustan, Mondher Bouzayen & Christian Chervin

  3. Italian National Agency for New Technologies, Energy, and Sustainable Development, Casaccia Research Centre, 00123, Rome, Italy

    Gianfranco Diretto & Giovanni Giuliano

  4. Department Food and Experimental Nutrition; NAPAN/FoRC - Food Research Center, Universidade de São Paulo, School of Pharmaceutical Sciences, Av. Prof. Lineu Prestes 580, Butantã, CEP 05508-000, São Paulo, SP, Brazil

    Eduardo Purgatto

  5. Université de Toulouse; UPS; UMR 5546; Laboratoire de Recherche en Sciences Végétales (LRSV), 24 Chemin de Borde Rouge, F-31326, Castanet-Tolosan, France

    Saïda Danoun

  6. Genetic Engineering Research Centre, Bioengineering College, Chongqing University, Chongqing, 400044, PR China

    Zhengguo Li

  7. Actual address: Department of Life Sciences, Xi’an University of Arts and Science, Xi’an, 710065, PR China

    Liyan Su

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  1. Liyan Su
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  2. Gianfranco Diretto
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  9. Giovanni Giuliano
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  10. Christian Chervin
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Correspondence to Christian Chervin.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LS participated in the design of the study, performed the qRT-PCR experiments and participated to the redaction, GD and GG performed carotenoid assays and correlation network and contributed to the writing of the manuscript, EP contributed to the design of the study, performed the fruit treatments and carried out the color and ethylene measurements, SD performed ABA assays, MZ contributed in the transcriptomic data treatment, ZL participated to the design of the project, MB and JPR conceived the study, participated to its design and contributed to the writing of the manuscript, CC participated to experiment design, wrote the body of the paper and coordinated the writing of the final manuscript. All the authors read and approved the manuscript.

Additional files

Additional file 1: Figure S1.

Modulation of ggps transcript accumulation, by various hormonal treatments, 24th or 96h after treatment (see abbreviations in legend of Figure 2), n=3 biological replicates, bars = std errors. Expression relative to controls (set at 0).

Additional file 2: Table S2.

Node strengths (ns) of the network in Figure 10, calculated as avg(|ρ|) (Diretto et al, 2010).

Additional file 3: Table S1.

List of primers used in qPCR experiments.

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Su, L., Diretto, G., Purgatto, E. et al. Carotenoid accumulation during tomato fruit ripening is modulated by the auxin-ethylene balance. BMC Plant Biol 15, 114 (2015). https://doi.org/10.1186/s12870-015-0495-4

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BMC Plant Biology

ISSN: 1471-2229

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