Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2019 Feb 26;9:2795. doi: 10.1038/s41598-019-38877-0

Integrative analysis of postharvest chilling injury in cherry tomato fruit reveals contrapuntal spatio-temporal responses to ripening and cold stress

Karin Albornoz 1, Marita I Cantwell 1, Lu Zhang 2,3, Diane M Beckles 1,
PMCID: PMC6391400  PMID: 30808915

Abstract

Postharvest chilling injury (PCI) reduces fruit quality and shelf-life in tomato (Solanum lycopersicum L.). PCI has been traditionally studied in the pericarp, however its development is likely heterogeneous in different fruit tissues. To gain insight into PCI’s spatio-temporal development, we used postharvest biomarkers e.g. respiration and ethylene rates, ion leakage etc., to confirm the occurrence of PCI, and compared these data with molecular (gene expression), biophysical (MRI data) and biochemical parameters (Malondialdehyde (MDA) and starch content) from the pericarp or columella. Tissues were stored at control (12.5 °C) or PCI-inducing temperatures (2.5 or 5 °C) followed by rewarming at 20 °C. MRI and ion leakage revealed that cold irreversibly impairs ripening-associated membrane liquefaction; MRI also showed that the internal and external fruit tissues responded differently to cold. MDA and especially starch contents, were affected by chilling in a tissue-specific manner. The expression of the six genes studied: ACO1 and ACS2 (ripening), CBF1 (cold response), DHN, AOX1a and LoxB (stress-related) showed non-overlapping temporal and spatially-specific responses. Overall, the data highlighted the interconnectedness of fruit cold response and ripening, and showed how cold stress reconfigures the latter. They further underscored that multidimensional spatial and temporal biological studies are needed to develop effective solutions to PCI.

Introduction

Refrigeration is the most effective tool to prevent postharvest losses1 of fruits and vegetables, however, its utilization is limited in cold-sensitive commodities, which typically originate from tropical and subtropical regions24. The term ‘postharvest chilling injury’ or ‘PCI’ is used to describe the group of symptoms and physiological alterations that compromise quality and promote spoilage when sensitive commodities are stored at temperatures between 0 and 15 °C3,5. PCI contributes to postharvest horticultural crop loss, which is unsustainable given the need to produce more food for a burgeoning global population using fewer natural resources6,7. Chilling injury has been studied in numerous species for more than 200 years, yet our understanding of the progress of its early stages and underlying causes at the molecular level is still incomplete, hindering the development of long-term solutions to this problem.

Tomato (Solanum lycopersicum L.) is the second most important vegetable crop, ranking number one in terms of gross production value in the world8. It is a key source of antioxidants for humans9,10 and is also a model organism for the study of fleshy-fruited species1113. Tomato suffers from PCI: storage at 0–12 °C followed by returning the fruit to room temperature can lead to a range of symptoms, varying from mild e.g. lack of flavor and poor texture, to severe i.e. development of surface lesions, discoloration, accelerated softening, failure of fruit to ripen and higher susceptibility to postharvest decay14.

Numerous studies in tomato fruit, including those on PCI, have traditionally focused on only one tissue, the pericarp15,16. Since PCI is a complex phenomenon, the lack of robust, practical solutions could be a consequence of the use of fragmentary approaches when analyzing the progression of the disorder. The pericarp and the central tissue, the columella, account for most of the fruit fresh mass in round tomatoes17,18, however, in cherry tomato the pericarp is comparatively thinner and the placenta and locular tissue are significantly larger19, and contribute to most of what is eaten. Chilling can affect internal tissues20,21 and there is abundant evidence describing the differential development of physiological and biochemical processes in the different tomato fruit fractions15,16,2228.

It is also known that PCI targets processes occurring across different biological levels and time frames14. The precise order of events triggered by PCI is unknown, but one of the primary events is the production of reactive oxygen species (ROS)14,2931. If cold exposure is mild or limited, cellular homeostasis and fruit quality will be maintained through the activation of alternative oxidases, and protective proteins such as dehydrins, in part, by the regulation of upstream factors of the cold response pathways such as C-Binding Repeat transcription Factors (CBFs)32,33. Beyond this threshold, or during rewarming of previously cold-stored fruit, progressive loss of selective membrane permeability due to lipid peroxidation may occur. This in turn, can lead to secondary metabolic and physiological dysfunction such as the leakage of water, solutes and metabolites, ROS accumulation, bursts in ethylene and respiratory rates, and later, ripening disruption, surface lesions and fungal infestation3,14,34,35.

Because of the functional specialization of fruit tissues, and, the many processes that constitute PCI, the progression of this disorder would be expected to also differ across tissues. Therefore, the aim of this work was to examine the components of the molecular, biophysical, biochemical and physiological processes affected by PCI in both the pericarp and columella over short and long-term cold-storage. This could allow us to build a more holistic and integrated view of this phenomenon.

Results and Discussion

Respiration and ethylene evolution rates

Carbon dioxide and ethylene production are standard biomarkers for PCI in tomato fruit2,36. Respiration supplies the cell with energy37, and ethylene is a ubiquitous plant hormone involved in stress response, senescence and fruit ripening38,39. In climacteric fruit, the rates of respiration and ethylene production increase with the onset of ripening1.

In this study, 2.5 °C, 5 °C and 12.5 °C were used as chilling temperatures, with 2.5 °C and 5 °C expected to induce PCI while 12.5 °C should not and acts as a cold-storage control. The production of these gases was suppressed during the period of chilling and increased up to 100% relative to the control (p < 0.05) after rewarming to 20 °C (Supplementary Fig. S1a), which was proportional to the occurrence of PCI. Ethylene production behaved similarly under chilling, but unlike respiration where there was a characteristic burst of CO2 within 1 day of rewarming40, the occurrence of the ethylene peak was delayed (Supplementary Fig. S1b). This was consistent with a previous study where breaker fruit stored at 3 °C for 3 weeks displayed a peak in this gas after 3 days at 20 °C41.

Chilling Injury Index (CII) and objective color

Chilling often leads to poor fruit color development, surface pitting and decay after rewarming, the extent of which is proportional to the severity of the cold stress. The CII encapsulates these data and is expressed as a score from one to four. The rewarmed fruit, especially those stored at 2.5 °C, failed to ripen normally (Fig. 1a), had pitted surfaces (Fig. 1d), and evidence of decay (Fig. 1c), as evidenced by higher CII values, compared to those stored at control temperature (Fig. 1b).

Figure 1.

Figure 1

External changes in breaker cherry tomato fruit cv. Sungold after storage. (a) Effect of temperature and storage time. Fruit were kept at 2.5, 5 or 12.5 °C for 3 weeks. After 1 (‘1w + 1w’), 2 (‘2w + 1w’) and 3 (‘3w + 1w’) weeks fruit were transferred to 20 °C for 1 week. (b) Chilling injury index (mean ± SE). Each column represents the average of 32 fruit per treatment. Columns with asterisks are significantly different (p < 0.05) compared to the control (12.5 °C) at a given time point by Kruskal-Wallis test. (c) Image of fruit showing decay. Fruit were stored at 2.5 °C for 3 weeks followed by 1 week at 20 °C. (d) Images of fruit showing surface pitting. Fruit stored at 2.5 °C for 3 weeks followed by 1 week at 20 °C showing signs of surface pitting (left) and control with no pitting, in fruit stored at 12.5 °C for 3 weeks followed by 1 week at 20 °C (right).

Fruit hue angle values were also assayed, as this is a quantitative and reliable indicator of tomato fruit color changes due to PCI36. Hue angle values decreased (15–18%) as redness increased, a trend only seen in control fruit (Supplementary Fig. S2). It confirmed that chilling at both 2.5 and 5 °C adversely affected color development from the first week of cold storage and that rewarming could not reverse these alterations. Chlorophyll degradation, and carotenoid and lycopene accumulation are responsible for red color formation and are inhibited by cold in tomato fruit42,43.

Ion leakage measurements

Structural and conformational changes of cellular membranes are amongst the first physiological events induced by PCI44. These alterations reduce membrane selective permeability leading to electrolyte leakage44,45. However, we observed no increase in this parameter over time, under 2.5 °C-or 12.5 °C storage, or even when 2.5 °C-stored fruit was rewarmed (Supplementary Fig. S3). At 5 °C, results were not linear since there was a decrease in ion leakage followed by an increase after rewarming (Supplementary Fig. S3). We only recorded ripening-, rather than chilling-induced membrane damage when control fruit was rewarmed. Ion leakage was therefore not an accurate biomarker for PCI in this experiment35,46, and our data supports the view that it is highly variable and dependent on pre- and postharvest conditions35.

Fruit tissue D-values and spatial characterization

Magnetic resonance imaging (MRI) is a valuable technique for the non-invasive monitoring of tissue physiological status47. Diffusion weighted MRI allows the mapping of intra-tissue water mobility, in the form of apparent diffusion coefficient (ADC) images (Fig. 2a,b). ADC (measured as D-values) are hypothesized to change due to PCI from chilling-induced biochemical and physiological alterations such as membrane leakage48. Non-invasive and simultaneous assessment of the changes in water mobility patterns in the columella, locules and pericarp under chilling and control conditions would be valuable in developing a holistic view of the development of PCI.

Figure 2.

Figure 2

MRI analysis of an equatorial slice of breaker cherry tomato fruit after cold-storage and rewarming. Fruit were kept at 2.5, 5 and 12.5 °C for 3 weeks. After 1 (‘1w + 1w’), 2 (‘2w + 1w’) and 3 (‘3w + 1w’) weeks fruit were transferred to 20 °C for 1 week. (a) MRI scan. (b) Apparent diffusion coefficient map of an equatorial slice of cherry tomato fruit. The color scale is shown in the color bar. Voxels in red and blue have high and low D-values, respectively. (c) Schematic representation of D-values measured in three fruit tissues. Values within each tissue and temperature were compared to the control which were freshly harvested fruit. Each cell represents 4 replicates, each of them containing 3 fruit. Grey color cells indicate significant differences (p < 0.05) and white cells indicate non-significant differences (p ≥ 0.05) by Dunnett’s test.

Overall, the MRI data illustrated that chilling silences key physiological processes that occur during ripening (Fig. 2c), and that the pericarp, columella and the locules could be clearly resolved based on their water mobility profiles in response to temperature. The pericarp remained unresponsive for the duration of the experiment under 2.5 °C, including rewarming, while the columella and locules were more variable. The locular tissue was the least dynamic fraction under both chilling and control temperatures, and the columella was more responsive after 3 weeks of storage and after rewarming (Fig. 2c).

D-values increased mostly, and to a greater magnitude in control fruit, and in chilled fruit after rewarming (Supplementary Fig. S4), which correlates with our ion leakage data (Supplementary Fig. S3). Ripening-associated liquefaction after the transfer to room temperature likely contributed to increased water mobility. Likewise, the only changes in chilled fruit were recorded after prolonged storage (>1 week) or after rewarming (Fig. 2c). This could be attributed to chilling-induced damage since fruit were ripening-inhibited (Fig. 1a) and started to manifest PCI symptoms as revealed by the CII data (Fig. 1b). Cumulative chilling injury likely compromised the tissue’s capacity to undergo normal ripening.

Interestingly, both the ion leakage and ADC data illustrate phenomena associated with water mobility and membrane permeability. While both parameters varied under rewarming after control storage, only ADC appears to be chilling-responsive.

The MRI highlights the need to examine each tissue to characterize PCI’s progression and symptomatology, since the most studied fraction, the pericarp, may not reflect processes occurring in the whole fruit.

MRI showed that the inner fruit tissues, although traditionally not well-studied, undergo chilling injury. This was further underscored by the higher incidence of seed browning in chilled fruit compared to control fruit (p < 0.0001 by Kruskal-Wallis test), after rewarming (Fig. 3a,b). PCI-induced seed browning was also shown in eggplant49,50 and pepper51,52. Browning is due to the production of melatonin from chilling-induced increases in polyphenol oxidase activity (PPO), its phenolic substrate53, and importantly, membrane decompartmentalization, which facilitates PPO access to phenols and the production of brown pigments54.

Figure 3.

Figure 3

Internal changes of cherry tomato fruit after cold storage and rewarming. Fruit were stored for either 1 (‘1w + 1w’), 2 (‘2w + 1w’) or 3 (‘3w + 1w’) weeks followed by 1 week rewarming. (a) Cross-section of stored fruit. (b) Seeds extracted from stored fruit and percentages of seeds showing signs of browning and discoloration.

Malondialdehyde (MDA) content

Cold induces lipid peroxidation of cellular membranes, with MDA as a byproduct55. MDA production is considered a biomarker for PCI-induced loss of membrane integrity in tomato fruit both during cold-storage56,57, and after rewarming58,59.

MDA production in the pericarp and columella was significantly different (p < 0.05) across time points (Fig. 4a), with the greatest changes occurring after rewarming preceded by at least 2 weeks of chilling. MDA content peaked earlier in the columella (2 weeks at 2.5 °C plus rewarming) compared to the pericarp (3 weeks at 2.5 °C plus rewarming) (Fig. 4a). These are signs of a differential response to oxidative stress in both fractions, and that MDA content of the external and internal fruit tissues followed independent programs.

Figure 4.

Figure 4

Malondialdehyde (MDA) and starch contents of stored cherry tomato fruit. (a) MDA content (mean ± SE) of fruit stored at 2.5 °C, over 3 weeks. After each week of storage, fruit were transferred to 20 °C for 1 week (dashed lines). Each symbol represents the average of 8 fruit per treatment. Asterisks indicate significant differences (p < 0.05) between cold storage and the same time point followed by rewarming for 1 week by unpaired t-test. (b) Starch content (mean ± SE) of fruit stored at 2.5 °C or 12.5 °C up to 3 weeks. After 3 weeks fruit were transferred to 20 °C for 1 week (‘3w + 1w’). Each column represents the average of 6 fruit per treatment. Different letters indicate significant differences (p < 0.05) between time points at each tissue and temperature by Tukey’s test. Asterisks indicate differences (p < 0.05) between 2.5 °C and 12.5 °C at the same time point by unpaired t-test.

D-values and MDA contents report phenomena related to changes in membrane integrity due to PCI, but from different perspectives. D-values indicate tissue water mobility status that might result from membrane disruption, while MDA indicates oxidative degradation of the membrane. Interestingly, these parameters showed opposite trends: the pericarp was cold-unresponsive for D-values at 2.5 °C (Fig. 2c) but was variable in terms of MDA production. Conversely, the columella fluctuated more in terms of D-values under cold, but for MDA production it changed less than the pericarp (Fig. 4a).

Starch content

Starch is the primary storage compound in green tomato fruit60. During postharvest storage of breaker fruit, sugar accumulation will depend on starch degradation, and exogenous factors affecting its breakdown will influence quality. Starch content was higher (41–85%) in columella compared to the pericarp across experimental conditions (Fig. 4b), in agreement with previous studies6165.

Interestingly, both chilling and ripening reduced starch content. Ripening caused more drastic changes, however, starch degradation was still active under cold. This contrasts with the trend seen in other metabolic parameters, i.e., respiration and ethylene production (Supplementary Fig. S1), which were suppressed during chilling. Starch decline was largest after the first week of chilled storage, with a 48.8% and 62.7% decrease in the pericarp and columella, respectively.

When tissues stored for 3 weeks were contrasted with those stored for the same time, but followed by rewarming, starch in the columella decreased under both control and chilling conditions, but only under control conditions in the pericarp. This suggests that after 3 weeks of cold storage, starch degradation in the pericarp reached an irreversible plateau, similar to reports in banana66; while starch breakdown was still responsive to rewarming after chilling in the columella.

Total fruit starch content (columella + pericarp) was negatively correlated with respiration (r = −0.6, p = 0.001) and ethylene evolution rates (r = −0.69, p = 0.0002) at 2.5 °C. Sugars produced from starch degradation during the cold likely fueled metabolic processes after rewarming through increased respiration. Starch may therefore be an important biomarker of early postharvest chilling injury.

Gene expression analysis

Changes in the transcriptional abundance of key genes likely occur in ‘waves’ and are among the earliest triggers of the plant cold response67,68. Five genes were selected based on their known connection to ripening, changes in redox balance, and cold response. They included genes involved in ethylene biosynthesis and in cold, dehydration, and oxidative stress responses. Their relative abundance was quantified after 1 and 24 hours chilling to investigate rapid changes during short-term storage, and after 3 weeks to investigate changes after prolonged storage. Correlative analyses of the expression patterns between these genes were performed. Significant correlations (p < 0.05) may indicate coordinately regulated processes, and it was of interest to determine if they were altered by cold treatment.

Ethylene biosynthesis

Ethylene has roles in climacteric fruit ripening and in plant stress response38,69. In tomato, the products of 1-aminocyclopropane-1-carboxylic acid (ACC) synthase isoform 2 (ACS2), and ACC oxidase isoform 1 (ACO1), encode key enzymes in ethylene biosynthesis. They are both expressed at elevated levels during climacteric and postclimacteric ethylene production70.

The expression of ACO1 and ACS2 in both pericarp and columella was influenced by the length of storage, but only under control conditions (Fig. 5), consistent with their role in fruit ripening (Supplementary Fig. S1b; Fig. 1a). ACS2, was also expressed during post-climacteric ripening in another study70. Chilling altered the patterns of gene expression over time. For ACO1, transcripts levels were steady in both fractions pre- and post-rewarming, even though ethylene increased 26-fold after rewarming (Supplementary Fig. S1b). Down-regulation of ACO1 by cold was reported by others71, and in our study, was especially apparent in the columella after 3 weeks of cold storage (Fig. 5). ACS2 expression varied only under conditions that promoted ripening and was more prominent in the columella (Fig. 5).

Figure 5.

Figure 5

Relative gene expression in the pericarp and columella of cherry tomato fruit. Fruit were stored at 2.5 or 12.5 °C for 1 h, 24 h, 3 weeks, or 2 weeks followed by 1 week at 20 °C. Freshly-harvested breaker fruit were used as the calibrator. Each symbol represents the average of 3 fruit per treatment. Values are the (log10) of the mean ± SE. Different letters indicate significant differences (p < 0.05) between time points at each tissue and temperature by Tukey’s test. Columns with asterisks are significantly different (p < 0.05) compared to the calibrator by unpaired t-test.

With ACO1, there were no differences in expression between the pericarp and columella fractions under either chilling or control conditions, whereas ACS2 expression varied spatially under the control temperature. This emphasizes that the expression of both genes followed different spatial dynamics. Both genes were co-expressed at 12.5 °C (Supplementary Fig. S5), however chilling attenuated this strong correlation.

Cold stress response

The C-Repeat Binding Factor 1 (CBF1) transcription factor is a master regulator of plant cold stress response32, and some studies show that its expression is also induced in tomato fruit during postharvest cold-storage33,56,7274. Unlike ACS and ACO1, SlCBF1 showed a clear spatial differentiation in both chilling and control conditions. Expression was higher in the pericarp compared to the columella (Fig. 5), which suggests that the former might be more responsive to cold stress, possibly due to its external localization.

Under chilling in both tissues, SlCBF1 expression peaked at 1 h and was sustained for 24 h in our study, which can be described as an early response (Fig. 5), it then declined to the levels observed at the control temperature, after 3 weeks cold treatment. In other studies, cold storage (temperatures between 2–5 °C) induced expression of SlCBF1 for up to 8 h56; 8 days33, and 14 days74,75, however there was no induction at 6 °C in Micro-Tom fruit76. The upregulation of SlCBF1 may therefore be dependent on fruit developmental stage, the severity of cold stress, and genotype.

After rewarming of the ‘control fruit’, SlCBF1 expression increased to levels higher than during chilling (Fig. 5). This may be suggestive of two things: first, that SlCBF1 transcripts in chilled tissues were unable to reach the same levels as tissue held in control temperature, since they were developmentally repressed; and second, SlCBF1 is involved in ripening independent of ACO1 or ACS2, given the asynchrony of their expression (Supplementary Fig. S5). However, a correlation between endogenous ethylene production and SlCBF1 upregulation72 could partly explain this behavior and matches our observations (Supplementary Fig. S1b).

Dehydration stress response

Dehydrins (DHNs), are protective proteins that accumulate in response to dehydration-associated stresses, including chilling77. The expression of the clone FC11CA08-276, here named DHN, was analyzed in this study. DHN mRNA levels increased only after 24 h and 3w of postharvest chilling in the pericarp, or 3w in the columella (Fig. 5) with decreases in both tissues after rewarming. There were no detectable differences between tissues, however they responded differentially to temperature (Fig. 5). After rewarming, ‘control pericarp’ DHN expression was higher than that in the ‘chilled pericarp’, due to ripening taking place in the control. It appears that DHN transcript abundance in fruit increases as ripening progresses78,79. The magnitude of changes were greater at 2.5 °C compared to 12.5 °C, consistent with a higher requirement for the molecular chaperones encoded under cold-stress76,80.

Oxidative damage

Prolonged or intense chilling stress induces ROS overproduction, which accelerates cell death44. The alternative oxidase pathway (AOX) is activated to minimize ROS levels81, and in tomato fruit, AOX1a has been associated with enhanced PCI tolerance82,83. Therefore, AOX1a was studied here. Lipoxygenases (LOXs) catalyze the peroxidation of polyunsaturated fatty acids and are associated with both ripening and redox balance84, processes affected by PCI. The expression of the LoxB isoform has not been studied during fruit postharvest chilling storage, and was included.

AOX1a expression levels in pericarp and columella were similar, but chilling induced a differential response over time. Transcript levels in the pericarp peaked at 24 h and 3w, (Fig. 6), similar to that seen by Fung et al.82. The ‘chilled pericarp’ had a reduced AOX1a expression after rewarming (Fig. 6) while the ‘chilled columella’ changed little even after rewarming. Under control conditions in both tissues, gradual increases were observed, but rewarming enhanced AOX1a expression (Fig. 6), matching ethylene production rates (Supplementary Fig. S1b), consistent with ethylene regulation of this gene83. ACO1, ACS2 and AOX1a, were co-expressed, but chilling suppressed this correlation (Supplementary Fig. S5). PCI therefore contributes to the uncoupling of ripening-related ethylene biosynthesis, highlighted by the inability of chilled tomato to resume normal ripening after rewarming (Fig. 1a).

Figure 6.

Figure 6

Relative gene expression in the pericarp and columella of cherry tomato fruit. Fruit were stored at 2.5 or 12.5 °C for 1 h, 24 h, 3 weeks, or 2 weeks followed by 1 week at 20 °C. Freshly-harvested breaker fruit were used as the calibrator. Each symbol represents the average of 3 fruit per treatment. Values are the (log10) of the mean ± SE. Different letters indicate significant differences (p < 0.05) between time points at each tissue and temperature by Tukey’s test. Columns with asterisks are significantly different (p < 0.05) compared to the calibrator by unpaired t-test.

LoxB expression displayed a mixed spatial-response that varied with temperature. Expression in both pericarp and columella was unchanged at 1 h and 24 h (Fig. 6). After 3 weeks, expression was downregulated, but in contrast, rewarming induced the upregulation of LoxB in both tissues. LoxB expression matched ethylene production (Supplementary Fig. S1b), consistent with its regulation by this hormone85,86. LoxB expression also paralleled MDA values after rewarming in the columella (Fig. 4a), in agreement with membrane alterations induced by PCI.

The correlation of LoxB with ethylene production rates and ripening was in accordance with the strong correlation between LoxB and ACS2 at 12.5 °C (Supplementary Fig. S5). Interestingly, transcript levels in the ‘control pericarp’ plus rewarming were higher than those of rewarmed tissue after chilling, even though ethylene levels were 1.2-fold higher in the latter. In this case, ethylene production increased in response to chilling-induced stress and not due to ongoing ripening.

Gene expression correlative patterns

Principal Component Analysis (PCA) was performed to explore the structure of the gene expression data from a spatial perspective with respect to cold storage and rewarming of chilled tissue (Fig. 7). The first and second principal components explained 75 and 15% of the variation present in the data, respectively. Data for the pericarp and columella portions under chilling for 3 weeks separated from the rewarmed tissues. More importantly, the data distinguished among tissues, with the pericarp and columella showing a clear separation even though gene expression differences between cold and rewarming were a greater determinant of the patterns seen on the PCA. Overall this analysis supports the hypothesis of a spatial and temporal differentiation in response to chilling stress at the gene expression level.

Figure 7.

Figure 7

Principal component analysis of the expression of genes in the pericarp and columella of cherry tomato fruit. Data shown here are from fruit kept at 2.5 for 3 weeks or 2 weeks followed by 1 week at 20 °C (‘RW’). Each symbol represents the relative expression values of all genes analyzed per sample, reduced to the first and second principal components. Equal symbols represent biological replicates for the same tissue and time point.

Conclusion

Postharvest chilling injury (PCI) is a complex multifactorial disorder with detrimental effects on tomato fruit quality and shelf-life. With the aim of representing the tomato fruit as a multilayered and integrated system of response to cold stress, we analyzed PCI impact on different fruit tissues and correlated it with known physiological parameters (Fig. 8).

Figure 8.

Figure 8

Schematic summary of the effect of storage temperature on the responses of parameters measured in the pericarp, columella or locular tissues of cherry tomato fruit. Fruit were stored at 12.5 °C or 2.5 °C, up to 3 weeks, or followed by storage at 20 °C (rewarming, ‘RW’). Trends of data (increase, decrease or no change), rather than magnitude changes are depicted, and were determined using freshly harvested fruit as the control. Fruit stored at 12.5 °C were compared against harvested breaker fruit so that the data reflected both chronologically and developmental differences. Except for CII and internal appearance, there were no PCI symptoms observed, therefore all other significant changes were related to ripening. PCI disrupts the normal progression of ripening. Comparing cold-stored (2.5 °C) fruit at each time point against harvested breaker fruit, informs on changes between fruit that are also chronologically different, but developmentally closer since cold suppresses maturation. In contrast to fruit at 12.5 °C, the array of changes associated with ripening was not obvious, and in addition, there were cold-injury responses. For the parameters where different tissues were analyzed, the manifestation of these traits could be described as contrapuntal, evidenced as heterogeneity and the decoupling of their response to cold compared to the control.

Overall, cold stress uncoupled key molecular, biochemical, and physiological processes occurring during the normal progression of storage and ripening. Increased water mobility and tissue liquefaction were also disrupted as evidenced by MRI-obtained D-values from the pericarp, columella and locular portions, and ion leakage obtained from the pericarp. MRI and color development confirmed three concepts: first, the system’s inability to restore or repair the chilling-affected mechanisms; second, that PCI is cumulative and progressive over time; and third, the need to examine each tissue to characterize PCI’s progression and symptomatology, since the most studied fraction, the pericarp, may not reflect processes occurring in other tissues. Reduced starch breakdown in columella and seed discoloration during cold storage reflect that, besides external changes, PCI extends to internal tissues.

Tissues exhibited heterogeneous patterns of response to PCI at the biophysical, biochemical and molecular levels. D-values were intrinsically different in the three tissues under study, and their time evolution and temperature responses were also mixed. Responses to oxidative damage represented by the lipid peroxidation byproduct MDA varied in response to temperature but peaked after rewarming, which again highlights that after crossing a threshold of cumulative cold damage, rewarming aggravates PCI’s manifestation instead of alleviating it. Starch accumulation also showed significant spatial differences, suggesting that tissues may display a sharper specialization at the metabolite than at other levels.

Responses to cold from the perspective of gene expression were highly dependent on the tissue-type, temperature and time of storage, but overall, they paralleled ethylene production trends via stress response or ripening. Some genes seemed to act concertedly across experimental conditions (ACS2 and LoxB), others acted coordinately under either cold or control conditions (ACO1, AOX1a and LoxB, CBF1 and AOX1a) or under apparently independent programs (ACO1 or ACS2 and CBF1). Transcript accumulation was (a) higher in the pericarp across conditions (CBF1), (b) equally expressed in both tissues (ACO1, AOX1a), or, (c) dependent on temperature and storage time (ACS2, LoxB and DHN).

Taken together, this evidence reveals the dynamism of cold-stress in the tomato system and suggests that fruit may display specialized mechanisms to elaborate a response to this environmental challenge. It also unfolds numerous questions about the nature of such varied responses among fruit tissues: are they advantageous to the fruit under stress? What is the source of these differences? Would such relationships differ in the fruit from cold-tolerant tomato species? Exploring these questions in a comprehensive way may deepen our knowledge of this complex phenomenon to elaborate long-term, robust solutions.

Materials and Methods

Fruit sampling and experimental setup

Cherry tomato (Solanum lycopersicum L. var cerasiforme cv. Sungold) fruit were harvested at breaker stage87. Fruit was obtained from Capay Organic Farm (23804 State Highway 16 Capay, California 95607; 38.707120, −122.070584). After sorting, unblemished and uniform-sized fruit (~2 cm diameter) were washed in a 1:20 dilution of 5% (v/v) sodium hypochlorite and dried in a laminar flow hood. Fruit were left at room temperature for 24 h to and then set at 12.5 °C for 24 h until placed on trays, wrapped with black polyethylene bags and transferred to 2.5, 5 (both PCI-inducing conditions) and 12.5 °C (non-PCI-inducing, ‘control’) for 3 weeks. After 1 week, one fourth of the fruit were transferred to 20 °C for an additional week. This operation was repeated after 2 and 3 weeks of storage at each temperature. For gene expression analysis, fruit were stored at either 2.5 or 12.5 °C for 1 h, 24 h, 3 weeks, or 2 weeks followed by an additional week at 20 °C.

Gas analysis (Respiration and ethylene evolution rates)

Fruit were placed in 450 mL-jars connected to a humidified air stream (~95% Relative Humidity). A manifold using capillary tubes as flow meters was used to control flow rates. Six biological replicates, each one containing 30 fruit were used for each temperature. Carbon dioxide concentration was measured by taking 1 mL gas samples from a sample port on the sealed containers and injecting into an infrared analyzer for CO2. A standard of 0.5136% (v/v) CO2 was used for calibration and the difference between inlet and outlet carbon dioxide concentrations was used for calculation of the respiration rates. Ethylene concentration was measured by taking 3 mL gas samples from a sample port on the sealed containers and injecting into a gas chromatograph. A standard of 1.022 ppm ethylene was used for calibration. Both gases were measured daily.

Chilling injury index (CII)

Fruit were removed from cold rooms and evaluated for CII based on a five-point scale consisting of 3 parameters: surface pitting, uneven ripening and color development, and decay. The severity of the symptoms was assessed visually according to Vega-García et al.88: 0 = no injury; 1 = <10%; 2 = 11 to 25%; 3 = 26–40%, and 4 = >40%. CII was calculated by using the formula: CII = (Injury level of surface pitting + injury level of uneven ripening + injury level of decay)/388. For each time point and condition, 32 fruit were evaluated individually, and the CIIs were averaged.

Objective color

A colorimeter with a 2° observer and standard illuminant C was used. Measurements were made in a three-dimensional color space using L* a* b* scale89. The Hue angle was calculated as tan−1 (b*/a*)90. For each time point and condition, readings were taken from the equatorial region of 12 fruit.

Ion leakage

Two square pericarp portions (1 cm2) from the equatorial region of a fruit were cut and washed in deionized water for 1 minute, blotted dry and placed in a 50-mL tube with 0.2 M D-mannitol. Tubes were shaken for 1 hour at room temperature and the initial conductivity was measured, followed by freezing the tubes at −20 °C for 2 days. Samples were thawed at room temperature for 24 hours, shaken for 1 hour and total conductivity was measured. Ion leakage was quantified as the ratio between initial conductivity and total conductivity multiplied by 10091. Four biological replicates were used, each consisting of a single pericarp portion from 5 fruit.

Magnetic resonance imaging (MRI)

Fruit were removed from controlled-temperature rooms at least 3 hours before analysis. The apparent diffusion coefficient (ADC) of water was measured by diffusion weighted MRI on an NMR spectrometer as previously reported, and expressed as D-values48. A total of 4 replicates were used, each one containing 3 fruit. Each replicate was placed in a circular holder and introduced into the equipment for reading.

Malondialdehyde (MDA) determination

The protocols of Hodges et al. (1999) and Nagababu et al. (2010), were modified in this assay92,93. The pericarp and columella were excised and homogenized in 2 volumes of cold 20% (w/v) trichloroacetic acid (TCA) solution, followed by centrifugation at 12,000 × g for 20 min. Three hundred microliters of supernatant were mixed with 300 µL of 0.67% (w/v) thiobarbituric acid (TBA). The solution was incubated at 95 °C in a water bath for 25 min, cooled in an ice bath for 15 min and then centrifuged at 12,000 × g for 10 min. The absorbance (532 nm) was measured spectrophotometrically by taking 400 µL of the mixture, and the value for non-specific absorption at 600 nm was subtracted. MDA content was quantified by using a standard curve in concentrations of 0 to 6 nmol of malonaldehyde bis(dimethyl acetal), followed by reaction with TBA as described above. Working standards were prepared fresh daily. Eight biological replicates were used, each consisting of tissue excised from a single fruit.

Starch Assay

The protocol of Smith and Zeeman (2006) was modified in this assay94. The pericarp and columella were boiled three times in 5 mL of 80% (v/v) ethanol each time, discarding the ethanol. The tissue was homogenized to a powder and resuspended in 5 mL distilled water. Three aliquots (500 µL each) of the homogenate were autoclaved for 45 min, and 500 µL 200 mM sodium acetate pH 5.5 was added to each. To two aliquots, six units of α-amyloglucosidase and 0.5 units of α-amylase were added, and all samples were incubated at 37 °C overnight to digest starch into glucose. Reducing sugars were assayed using freshly-made 3,5-dinitrosalicylic acid (DNS) reagent following the protocol of Dong et al.95. The concentration of the reducing sugars in the samples was determined from the standard curve, and those in the ‘no-enzyme’ controls were subtracted from those digested with the enzymes. Six biological replicates, each consisting of tissue excised from a single fruit, and three technical replicates were used.

Quantitative Real-Time PCR (RT-qPCR)

Total RNA was isolated from 100 mg samples from the pericarp and columella96 and DNase-treated with the TURBO DNA-free™ Kit (Life Technologies, Carlsbad, CA, USA). cDNA was synthesized from 500 ng of RNA using random primers with the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA). The cDNA was diluted 40-fold and RT-qPCR was performed in a 10 μL reaction as follows: 0.4 μL of nuclease-free water, 0.3 μL of 10 μM forward primer, 0.3 μL of 10 μM reverse primer, 5 μL of iQ™ SYBR® Green Supermix (Bio-Rad, Hercules, CA, USA) and 4 μL of diluted cDNA as template. The reactions were placed in a real-time thermocycler (CFX96 Touch™ Real-Time PCR Detection System, Bio-Rad, Hercules, CA, USA) using the following parameters: 95 °C for 3 minutes, and 40 cycles of 95 °C for 10 seconds and 60 °C for 30 seconds. Primers were design based on the cDNA sequences published on Sol Genomics (Supplementary Table S1), with size amplicons between 107–181 bp. The reaction efficiency for each pair of primers (Supplementary Table S1) was between 90–107%. The specificity of the assay for each gene was validated through a melt-curve analysis. Relative quantification and normalization were determined by the Pfaffl method97. The tomato actin gene (SlACT7) was used as a reference and freshly harvested breaker fruit was the calibrator sample. Three biological and three technical replicates were used for each experimental condition. A biological replicate consisted of tissue excised from a single fruit.

Experimental design and statistical analysis

A complete randomized factorial design was used, with type of tissue, temperature and time of storage as factors, unless otherwise specified.

Data were statistically analyzed using SAS software Version 9.4, RStudio Version 1.1.419 or Microsoft Excel Version 1804; and graphed using SigmaPlot version 12.0, RStudio, Microsoft Excel or Metaboanalyst Version 4.098. The following R packages were used: corrplot99, pca3d100 and factoextra101.

Analysis of variance (ANOVA) or unpaired t-test were performed to detect significant differences among and within treatments. For mean comparison, Tukey’s and Dunnett’s tests were used with α = 0.05. Principal component analysis (PCA) was performed to analyze gene expression patterns during cold storage and after fruit rewarming. Correlation statistics were carried out using Pearson’s or Spearman’s correlation coefficients. Kruskal-Wallis test was used as a nonparametric alternative to ANOVA. Confidence interval (CI) or standard error (SE) were used as measures of variability of the data.

Supplementary information

Supplementary Information (968.1KB, docx)

Acknowledgements

KA thanks the Chilean Commission for Scientific and Technological Research (CONICYT), and the Horticulture and Agronomy Graduate Group at University of California Davis for Ph.D. funding. Work in DB's lab on environmental stress on plants, is supported in part by California Agricultural Experiment Station Hatch project: CA-D-PLS-2164-H. We are indebted to Prof. Michael McCarthy for access to equipment and invaluable advice on the MRI. Mr. Sahil Hansalia, Ms. Leona Lee and Mr. Gurpaul Basra are acknowledged for assisting with this research under the UC Davis Young Scholar’s program. We thank Dr. Gyunghoon Hong for helping with gas measurements and are indebted to Mr. Thomas Dewan from Capay Organic, Capay, CA for generously supplying us with the ‘SunGold’ tomatoes.

Author Contributions

D.B. conceived the experiment; K.A. designed and conducted all experiments in consultation with D.B., M.C. and L.Z. Data analysis was done by K.A. with input from D.B. K.A. drafted the manuscript with help from D.B. All authors reviewed the manuscript.

Data Availability

All of the materials, data and associated protocols will be made available upon request without preconditions. All data generated from this work and not presented in the figures are in the Supplemental Information File.

Competing Interests

The authors declare no competing interests.

Footnotes

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplementary information accompanies this paper at 10.1038/s41598-019-38877-0.

References

  • 1.Kader, A. Postharvest Biology and Technology: An Overview in Postharvest Technology for Horticultural Crops (ed. Kader, A.) 39–47 (UCANR, 2002).
  • 2.Lyons JM. Chilling injury in plants. Annual Review of Plant Physiology and Plant Molecular Biology. 1973;24:445–466. doi: 10.1146/annurev.pp.24.060173.002305. [DOI] [Google Scholar]
  • 3.Jackman RL, Yada RY, Marangoni A, Parkin KL, Stanley DW. Chilling injury - A review of quality aspects. Journal of Food Quality. 1989;11:253–278. doi: 10.1111/j.1745-4557.1988.tb00887.x. [DOI] [Google Scholar]
  • 4.Paul, R. E. Chilling Injury of Crops of Tropical and Subtropical Origin in Chilling injury of horticultural crops (ed. Wang, C. Y.) 17–36 (CRC Press, 1990).
  • 5.Parkin K, Marangoni A, Jackman R, Yada R, Stanley D. Chilling injury. A review of possible mechanisms. Journal of Food Biochemistry. 1989;13:127–153. doi: 10.1111/j.1745-4514.1989.tb00389.x. [DOI] [Google Scholar]
  • 6.Fischer, G., Hizsnyik, E., Prieler, S., van Velthuizen, H. & Wiberg, D. In Worlds Within Reach: From Science To Policy IIASA 40th Anniversary Conference (Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria, 2012).
  • 7.Ray DK, Ramankutty N, Mueller ND, West PC, Foley JA. Recent patterns of crop yield growth and stagnation. Nature communications. 2012;3:1293. doi: 10.1038/ncomms2296. [DOI] [PubMed] [Google Scholar]
  • 8.FAOSTAT. (Food and Agriculture Organization of the United Nations, Rome, 2016).
  • 9.Rao AV, Waseem Z, Agarwal S. Lycopene content of tomatoes and tomato products and their contribution to dietary lycopene. Food Research International. 1998;31:737–741. doi: 10.1016/S0963-9969(99)00053-8. [DOI] [Google Scholar]
  • 10.Perveen R, et al. Tomato (Solanum lycopersicum) carotenoids and lycopenes chemistry; metabolism, absorption, nutrition, and allied health claims-A comprehensive review. Critical reviews in food science and nutrition. 2015;55:919–929. doi: 10.1080/10408398.2012.657809. [DOI] [PubMed] [Google Scholar]
  • 11.Kimura S, Sinha N. Tomato (Solanum lycopersicum): A model fruit-bearing crop. CSH Protoc. 2008;2008:1–9. doi: 10.1101/pdb.emo105. [DOI] [PubMed] [Google Scholar]
  • 12.Menda N, Strickler SR, Mueller LA. Advances in tomato research in the post-genome era. Plant Biotechnology. 2013;30:243–256. doi: 10.5511/plantbiotechnology.13.0904a. [DOI] [Google Scholar]
  • 13.Azzi L, et al. Fruit growth-related genes in tomato. J Exp Bot. 2015;66:1075–1086. doi: 10.1093/Jxb/Eru527. [DOI] [PubMed] [Google Scholar]
  • 14.Biswas P, East AR, Hewett EW, Heyes JA. Chilling injury in tomato fruit. Horticultural Reviews. 2016;44:229–278. doi: 10.1002/9781119281269.ch5. [DOI] [Google Scholar]
  • 15.Shinozaki Y, et al. High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening. Nature communications. 2018;9:364. doi: 10.1038/s41467-017-02782-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Van de Poel B, et al. Tissue specific analysis reveals a differential organization and regulation of both ethylene biosynthesis and E8 during climacteric ripening of tomato. BMC plant biology. 2014;14:11. doi: 10.1186/1471-2229-14-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Stevens MA, Kader AA, Albright-Holton M. Intercultivar variation in composition of locular and pericarp portions of fresh market tomatoes. Journal of the American Society for Horticultural Science. 1977;102:689–692. [Google Scholar]
  • 18.Heuvelink, E. Developmental Processes in Tomatoes (ed. Heuvelink, E.) Ch. 3, 53–83 (CABI Publishing, 2005).
  • 19.Lemaire-Chamley M, et al. Changes in transcriptional profiles are associated with early fruit tissue specialization in tomato. Plant Physiol. 2005;139:750–769. doi: 10.1104/pp.105.063719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dodds GT, Ludford PM. Surface topology of chilling injury of tomato fruit. Hort Science. 1990;25:1416–1419. [Google Scholar]
  • 21.Jackman RL, Gibson HJ, Stanley DW. Effects of chilling on tomato fruit texture. Physiologia Plantarum. 1992;86:600–608. doi: 10.1111/j.1399-3054.1992.tb02176.x. [DOI] [Google Scholar]
  • 22.Mintz-Oron S, et al. Gene expression and metabolism in tomato fruit surface tissues. Plant Physiol. 2008;147:823–851. doi: 10.1104/pp.108.116004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Matas AJ, et al. Tissue- and Cell-Type Specific Transcriptome Profiling of Expanding Tomato Fruit Provides Insights into Metabolic and Regulatory Specialization and Cuticle Formation. Plant Cell. 2011;23:3893–3910. doi: 10.1105/tpc.111.091173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wang LB, Bai JH, Yu ZF. Difference in volatile profile between pericarp tissue and locular gel in tomato fruit. Journal of Integrative Agriculture. 2016;15:2911–2920. doi: 10.1016/S2095-3119(15)61324-7. [DOI] [Google Scholar]
  • 25.Moco S, et al. Tissue specialization at the metabolite level is perceived during the development of tomato fruit. J Exp Bot. 2007;58:4131–4146. doi: 10.1093/jxb/erm271. [DOI] [PubMed] [Google Scholar]
  • 26.Maul F, et al. Aroma volatile profiles from ripe tomatoes are influenced by physiological maturity at harvest: an application for electronic nose technology. Journal of the American Society for Horticultural Science. 1998;123:1094–1101. doi: 10.21273/JASHS.123.6.1094. [DOI] [Google Scholar]
  • 27.Obiadalla‐Ali H, Fernie AR, Kossmann J, Lloyd JR. Developmental analysis of carbohydrate metabolism in tomato (Lycopersicon esculentum cv. Micro‐Tom) fruits. Physiologia Plantarum. 2004;120:196–204. doi: 10.1111/j.0031-9317.2004.0167.x. [DOI] [PubMed] [Google Scholar]
  • 28.Brecht J. Locular gel formation in developing tomato fruit and the initiation of ethylene production. Hort Science (USA) 1987;22:476–479. [Google Scholar]
  • 29.Malacrida C, Valle EM, Boggio SB. Postharvest chilling induces oxidative stress response in the dwarf tomato cultivar Micro-Tom. Physiologia Plantarum. 2006;127:10–18. doi: 10.1111/j.1399-3054.2005.00363.x. [DOI] [Google Scholar]
  • 30.Miura K, Furumoto T. Cold Signaling and Cold Response in Plants. International Journal of Molecular Sciences. 2013;14:5312–5337. doi: 10.3390/Ijms14035312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Aghdam MS, Sevillano L, Flores FB, Bodbodak S. The contribution of biotechnology to improving post-harvest chilling tolerance in fruits and vegetables using heat-shock proteins. Journal of Agricultural Science. 2015;153:7–24. doi: 10.1017/S0021859613000804. [DOI] [Google Scholar]
  • 32.Zhang X, et al. Freezing‐sensitive tomato has a functional CBF cold response pathway, but a CBF regulon that differs from that of freezing‐tolerant Arabidopsis. The Plant Journal. 2004;39:905–919. doi: 10.1111/j.1365-313X.2004.02176.x. [DOI] [PubMed] [Google Scholar]
  • 33.Zhang B, et al. Chilling-induced tomato flavor loss is associated with altered volatile synthesis and transient changes in DNA methylation. Proceedings of the National Academy of Sciences. 2016;113:12580–12585. doi: 10.1073/pnas.1613910113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Marangoni AG, Stanley DW. Phase-transitions in microsomal-membranes from chilling sensitive and chilling resistant tomato plants and fruit. Phytochemistry. 1989;28:2293–2301. doi: 10.1016/S0031-9422(00)97970-6. [DOI] [Google Scholar]
  • 35.Biswas P, East AR, Hewett EW, Heyes JA. Increase in electrolyte leakage as a function of chilling stress and ripening of tomato. Iv International Conference Postharvest Unlimited 2011. 2012;945:283–290. doi: 10.17660/ActaHortic.2012.945.37. [DOI] [Google Scholar]
  • 36.Cheng TS, Shewfelt R. Effect of chilling exposure of tomatoes during subsequent ripening. Journal of Food Science. 1988;53:1160–1162. doi: 10.1111/j.1365-2621.1988.tb13552.x. [DOI] [Google Scholar]
  • 37.Kader, A. & Saltveit, M. Respiration and gas exchange in Postharvest physiology and pathology of vegetables Vol. 2 (eds Bartz, J. A. & Brecht, J. K.) 7–29 (Marcel Deckker, 2003).
  • 38.Cara B, Giovannoni JJ. Molecular biology of ethylene during tomato fruit development and maturation. Plant Science. 2008;175:106–113. doi: 10.1016/j.plantsci.2008.03.021. [DOI] [Google Scholar]
  • 39.Yang SF, Hoffman NE. Ethylene biosynthesis and its regulation in higher plants. Annual review of plant physiology. 1984;35:155–189. doi: 10.1146/annurev.pp.35.060184.001103. [DOI] [Google Scholar]
  • 40.Luengwilai K, Beckles DM, Saltveit ME. Chilling-injury of harvested tomato (Solanum lycopersicum L.) cv. Micro-Tom fruit is reduced by temperature pre-treatments. Postharvest Biology and Technology. 2012;63:123–128. doi: 10.1016/j.postharvbio.2011.06.017. [DOI] [Google Scholar]
  • 41.Rugkong A, et al. Cell wall metabolism in cold-stored tomato fruit. Postharvest Biology and Technology. 2010;57:106–113. doi: 10.1016/j.postharvbio.2010.03.004. [DOI] [Google Scholar]
  • 42.Gómez P, et al. Structural changes, chemical composition and antioxidant activity of cherry tomato fruits (cv. Micro‐Tom) stored under optimal and chilling conditions. Journal of the Science of Food and Agriculture. 2009;89:1543–1551. doi: 10.1002/jsfa.3622. [DOI] [Google Scholar]
  • 43.Tadesse TN, Ibrahim AM, Abtew WG. Degradation and formation of fruit color in tomato (Solanum lycopersicum L.) in response to storage temperature. American Journal of Food Technology. 2015;10:147–157. doi: 10.3923/ajft.2015.147.157. [DOI] [Google Scholar]
  • 44.Sevillano L, Sanchez‐Ballesta MT, Romojaro F, Flores FB. Physiological, hormonal and molecular mechanisms regulating chilling injury in horticultural species. Postharvest technologies applied to reduce its impact. J Sci Food Agric. 2009;89:555–573. doi: 10.1002/jsfa.3468. [DOI] [Google Scholar]
  • 45.Bergevin M, L’heureux G, Thompson J, Willemot C. Effect of chilling and subsequent storage at 20 °C on electrolyte leakage and phospholipid fatty acid composition of tomato pericarp. Physiologia Plantarum. 1993;87:522–527. doi: 10.1111/j.1399-3054.1993.tb02502.x. [DOI] [Google Scholar]
  • 46.Côté F, Thompson JE, Willemot C. Limitation to the use of electrolyte leakage for the measurement of chilling injury in tomato fruit. Postharvest Biology and Technology. 1993;3:103–110. doi: 10.1016/0925-5214(93)90002-K. [DOI] [Google Scholar]
  • 47.Clark C, Hockings P, Joyce D, Mazucco R. Application of magnetic resonance imaging to pre-and post-harvest studies of fruits and vegetables. Postharvest Biology and Technology. 1997;11:1–21. doi: 10.1016/S0925-5214(97)01413-0. [DOI] [Google Scholar]
  • 48.Tao F, Zhang L, McCarthy MJ, Beckles DM, Saltveit M. Magnetic resonance imaging provides spatial resolution of Chilling Injury in Micro-Tom tomato (Solanum lycopersicum L.) fruit. Postharvest Biology and Technology. 2014;97:62–67. doi: 10.1016/j.postharvbio.2014.06.005. [DOI] [Google Scholar]
  • 49.Kozukue N, Kozukue E, Kishiguchi M. Changes in the contents of phenolic substances, phenylalanine ammonia-lyase (PAL) and tyrosine ammonia-lyase (TAL) accompanying chilling-injury of eggplant fruit. Scientia Horticulturae. 1979;11:51–59. doi: 10.1016/0304-4238(79)90054-2. [DOI] [Google Scholar]
  • 50.Massolo JF, Concellón A, Chaves AR, Vicente AR. 1-Methylcyclopropene (1-MCP) delays senescence, maintains quality and reduces browning of non-climacteric eggplant (Solanum melongena L.) fruit. Postharvest Biology and Technology. 2011;59:10–15. doi: 10.1016/j.postharvbio.2010.08.007. [DOI] [Google Scholar]
  • 51.Boonsiri K, Ketsa S, van Doorn WG. Seed browning of hot peppers during low temperature storage. Postharvest Biology and Technology. 2007;45:358–365. doi: 10.1016/j.postharvbio.2007.03.014. [DOI] [Google Scholar]
  • 52.Kozukue N, Ogata K. Physiological and chemical studies of chilling injury in pepper fruits. J Food Sci. 1972;37:708–711. doi: 10.1111/j.1365-2621.1972.tb02731.x. [DOI] [Google Scholar]
  • 53.Gao H, et al. Effect of 24-epibrassinolide treatment on the metabolism of eggplant fruits in relation to development of pulp browning under chilling stress. Journal of food science and technology. 2015;52:3394–3401. doi: 10.1007/s13197-014-1402-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Tomás‐Barberán FA, Espin JC. Phenolic compounds and related enzymes as determinants of quality in fruits and vegetables. J Sci Food Agric. 2001;81:853–876. doi: 10.1002/jsfa.885. [DOI] [Google Scholar]
  • 55.Davey MW, Stals E, Panis B, Keulemans J, Swennen RL. High-throughput determination of malondialdehyde in plant tissues. Analytical Biochemistry. 2005;347:201–207. doi: 10.1016/j.ab.2005.09.041. [DOI] [PubMed] [Google Scholar]
  • 56.Zhao D, et al. Physiological and genetic properties of tomato fruits from 2 cultivars differing in chilling tolerance at cold storage. J Food Sci. 2009;74:C348–C352. doi: 10.1111/j.1750-3841.2009.01156.x.. [DOI] [PubMed] [Google Scholar]
  • 57.Aghdam MS, Mohammadkhani N. Enhancement of chilling stress tolerance of tomato fruit by postharvest brassinolide treatment. Food and Bioprocess Technology. 2014;7:909–914. doi: 10.1007/s11947-013-1165-x. [DOI] [Google Scholar]
  • 58.Ding Y, et al. The role of gibberellins in the mitigation of chilling injury in cherry tomato (Solanum lycopersicum L.) fruit. Postharvest Biology and Technology. 2015;101:88–95. doi: 10.1016/j.postharvbio.2014.12.001. [DOI] [Google Scholar]
  • 59.Li P, Yin F, Song L, Zheng X. Alleviation of chilling injury in tomato fruit by exogenous application of oxalic acid. Food Chemistry. 2016;202:125–132. doi: 10.1016/j.foodchem.2016.01.142. [DOI] [PubMed] [Google Scholar]
  • 60.Beckles DM. Factors affecting the postharvest soluble solids and sugar content of tomato (Solanum lycopersicum L.) fruit. Postharvest Biology and Technology. 2012;63:129–140. doi: 10.1016/j.postharvbio.2011.05.016. [DOI] [Google Scholar]
  • 61.Schaffer AA, Petreikov M. Sucrose-to-starch metabolism in tomato fruit undergoing transient starch accumulation. Plant Physiol. 1997;113:739–746. doi: 10.1104/pp.113.3.739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Luengwilai K, Beckles DM. Structural investigations and morphology of tomato fruit starch. J Agric Food Chem. 2009;57:282–291. doi: 10.1021/Jf802064w. [DOI] [PubMed] [Google Scholar]
  • 63.Beckles DM, Craig J, Smith AM. ADP-glucose pyrophosphorylase is located in the plastid in developing tomato fruit. Plant Physiol. 2001;126:261–266. doi: 10.1104/pp.126.1.261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Baxter CJ, et al. Fruit carbohydrate metabolism in an introgression line of tomato with increased fruit soluble solids. Plant and Cell Physiology. 2005;46:425–437. doi: 10.1093/pcp/pci040. [DOI] [PubMed] [Google Scholar]
  • 65.Bianchetti RE, et al. Phytochromobilin deficiency impairs sugar metabolism through the regulation of cytokinin and auxin signaling in tomato fruits. Scientific reports. 2017;7:7822. doi: 10.1038/s41598-017-08448-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Peroni-Okita FH, et al. The cold storage of green bananas affects the starch degradation during ripening at higher temperature. Carbohydrate polymers. 2013;96:137–147. doi: 10.1016/j.carbpol.2013.03.050. [DOI] [PubMed] [Google Scholar]
  • 67.Park S, et al. Regulation of the Arabidopsis CBF regulon by a complex low‐temperature regulatory network. The Plant Journal. 2015;82:193–207. doi: 10.1111/tpj.12796. [DOI] [PubMed] [Google Scholar]
  • 68.Zhao C, Lang Z, Zhu J-K. Cold responsive gene transcription becomes more complex. Trends in Plant Science. 2015;20:466–468. doi: 10.1016/j.tplants.2015.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Bapat VA, et al. Ripening of fleshy fruit: molecular insight and the role of ethylene. Biotechnol Adv. 2010;28:94–107. doi: 10.1016/j.biotechadv.2009.10.002. [DOI] [PubMed] [Google Scholar]
  • 70.Van de Poel B, et al. Targeted systems biology profiling of tomato fruit reveals coordination of the yang cycle and a distinct regulation of ethylene biosynthesis during postclimacteric ripening. Plant Physiol. 2012;160:1498–1514. doi: 10.1104/pp.112.206086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Rugkong A, McQuinn R, Giovannoni JJ, Rose JK, Watkins CB. Expression of ripening-related genes in cold-stored tomato fruit. Postharvest Biology and Technology. 2011;61:1–14. doi: 10.1016/j.postharvbio.2011.02.009. [DOI] [Google Scholar]
  • 72.Zhao D, et al. Ethylene and cold participate in the regulation of LeCBF1 gene expression in postharvest tomato fruits. Febs Letters. 2009;583:3329–3334. doi: 10.1016/j.febslet.2009.09.029. [DOI] [PubMed] [Google Scholar]
  • 73.Zhao RR, et al. Nitric oxide participates in the regulation of LeCBF1 gene expression and improves cold tolerance in harvested tomato fruit. Postharvest Biology and Technology. 2011;62:121–126. doi: 10.1016/j.postharvbio.2011.05.013. [DOI] [Google Scholar]
  • 74.Ding Y, et al. Salicylic-acid-induced chilling-and oxidative-stress tolerance in relation to gibberellin homeostasis, C-Repeat/Dehydration-Responsive Element Binding Factor pathway, and antioxidant enzyme systems in cold-stored tomato fruit. J Agric Food Chem. 2016;64:8200–8206. doi: 10.1021/acs.jafc.6b02902. [DOI] [PubMed] [Google Scholar]
  • 75.Zhu, Z. et al. Effects of postharvest gibberellic acid treatment on chilling tolerance in cold-stored tomato (Solanum lycopersicum L.) fruit. Food and BioprocessTechnology, 1–8, 10.1007/s11947-016-1712-3 (2016).
  • 76.Weiss J, Egea-Cortines M. Transcriptomic analysis of cold response in tomato fruits identifies dehydrin as a marker of cold stress. Journal of applied genetics. 2009;50:311–319. doi: 10.1007/BF03195689. [DOI] [PubMed] [Google Scholar]
  • 77.Rorat T. Plant dehydrins—tissue location, structure and function. Cellular & molecular biology letters. 2006;11:536–556. doi: 10.2478/s11658-006-0044-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.da Silva FG, et al. Characterizing the grape transcriptome. Analysis of expressed sequence tags from multiple Vitis species and development of a compendium of gene expression during berry development. Plant Physiol. 2005;139:574–597. doi: 10.1104/pp.105.065748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Ye J, et al. Transcriptome profiling of tomato fruit development reveals transcription factors associated with ascorbic acid, carotenoid and flavonoid biosynthesis. PloS one. 2015;10:e0130885. doi: 10.1371/journal.pone.0130885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Kosová K, Vítámvás P, Prášil I. The role of dehydrins in plant response to cold. Biologia plantarum. 2007;51:601–617. doi: 10.1007/s10535-007-0133-6. [DOI] [Google Scholar]
  • 81.Aghdam MS, Sevillano L, Flores FB, Bodbodak S. Heat shock proteins as biochemical markers for postharvest chilling stress in fruits and vegetables. Scientia Horticulturae. 2013;160:54–64. doi: 10.1016/j.scienta.2013.05.020. [DOI] [Google Scholar]
  • 82.Fung RW, et al. Characterization of alternative oxidase (AOX) gene expression in response to methyl salicylate and methyl jasmonate pre-treatment and low temperature in tomatoes. J Plant Physiol. 2006;163:1049–1060. doi: 10.1016/j.jplph.2005.11.003. [DOI] [PubMed] [Google Scholar]
  • 83.Xu F, Yuan S, Zhang D-W, Lv X, Lin H-H. The role of alternative oxidase in tomato fruit ripening and its regulatory interaction with ethylene. J Exp Bot. 2012;63:5705–5716. doi: 10.1093/jxb/ers226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Baysal T, Demirdöven A. Lipoxygenase in fruits and vegetables: A review. Enzyme and Microbial Technology. 2007;40:491–496. doi: 10.1016/j.enzmictec.2006.11.025. [DOI] [Google Scholar]
  • 85.Griffiths A, Barry C, Alpuche-Solis AG, Grierson D. Ethylene and developmental signals regulate expression of lipoxygenase genes during tomato fruit ripening. J Exp Bot. 1999;50:793–798. doi: 10.1093/jxb/50.335.793. [DOI] [Google Scholar]
  • 86.Guo J-E, et al. The tomato histone deacetylase SlHDA1 contributes to the repression of fruit ripening and carotenoid accumulation. Scientific reports. 2017;7:7930. doi: 10.1038/s41598-017-08512-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.USDA. Color classification requirements in tomatoes, http://ucanr.edu/sites/Postharvest_Technology_Center_/files/223147.jpg (1975).
  • 88.Vega-García MO, et al. Changes in protein expression associated with chilling injury in tomato fruit. Journal of the American Society for Horticultural Science. 2010;135:83–89. doi: 10.21273/JASHS.135.1.83. [DOI] [Google Scholar]
  • 89.Baldevbhai PJ, Anand RS. Color image segmentation for medical images using L* a* b* color space. IOSR Journal of Electronics and Communication Engineering. 2012;1:24–45. doi: 10.9790/2834-0122445. [DOI] [Google Scholar]
  • 90.McGuire RG. Reporting of objective color measurements. HortScience. 1992;27:1254–1255. doi: 10.21273/HORTSCI.27.12.1254. [DOI] [Google Scholar]
  • 91.Buccheri M, Cantwell M. Damage to intact fruit affects quality of slices from ripened tomatoes. Lwt-Food Science and Technology. 2014;59:327–334. doi: 10.1016/j.lwt.2014.05.015. [DOI] [Google Scholar]
  • 92.Nagababu, E., Rifkind, J. M., Boindala, S. & Nakka, L. Assessment of antioxidant activity of eugenol in vitro and in vivo. Free Radicals and Antioxidant Protocols, 165–180, 10.1007/978-1-60327-029-8_10 (2010). [DOI] [PMC free article] [PubMed]
  • 93.Hodges DM, DeLong JM, Forney CF, Prange RK. Improving the thiobarbituric acid-reactive-substances assay for estimating lipid peroxidation in plant tissues containing anthocyanin and other interfering compounds. Planta. 1999;207:604–611. doi: 10.1007/s004250050524. [DOI] [PubMed] [Google Scholar]
  • 94.Smith AM, Zeeman SC. Quantification of starch in plant tissues. Nature protocols. 2006;1:1342. doi: 10.1038/nprot.2006.232. [DOI] [PubMed] [Google Scholar]
  • 95.Dong S, Zhang J, Beckles DM. A pivotal role for starch in the reconfiguration of 14 C-partitioning and allocation in Arabidopsis thaliana under short-term abiotic stress. Scientific reports. 2018;8:9314. doi: 10.1038/s41598-018-27610-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Wang HM, Yin WC, Wang CK, Isolation KY. of functional RNA from different tissues of tomato suitable for developmental profiling by microarray analysis. Botanical Studies. 2009;50:115–125. [Google Scholar]
  • 97.Pfaffl, M. W. Quantification strategies in real-time polymerase chain reaction in A-Z of Quantitative PCR (ed. Bustin, S. A.) 53–62 (International University Line, 2012).
  • 98.Xia, J. & Wishart, D. S. Using MetaboAnalyst 3.0 for comprehensive metabolomics data analysis. Current protocols in bioinformatics. 14.10. 11–14.10. 91, 10.1002/cpbi.11 (2016). [DOI] [PubMed]
  • 99.corrplot: Visualization of a correlation matrix (2017).
  • 100.pca3d: three dimensional PCA plots (2017).
  • 101.Factoextra: extract and visualize the results of multivariate data analyses (2017).

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (968.1KB, docx)

Data Availability Statement

All of the materials, data and associated protocols will be made available upon request without preconditions. All data generated from this work and not presented in the figures are in the Supplemental Information File.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES