A Sicilia1, E Scialò1, I Puglisi1, A R Lo Piero1. 1. Department of Agriculture, Food and Environment (Di3A), University of Catania, Via Santa Sofia 98, 95123 Catania, Italy.
Abstract
The blood red color of pigmented orange fruit varieties [Citrus sinensis L. (Osbeck)] is due to the presence of anthocyanin pigments that largely contribute to determine the high organoleptic qualities and the nutritional properties of the fruits. The content of pigments in sweet orange depends primarily on genetic factors and on environmental conditions. In particular, it has been extensively shown that cold temperature induces an increase of anthocyanin content that is achieved by the induction of the related gene expression. The purpose of our work is to understand the mechanism underlying the color variegation occurring inside the blood oranges during the cold induction of anthocyanin biosynthesis, despite the fact that the entire fruit is genotypically programmed to produce pigments. Therefore, the amount of anthocyanin and the expression of both structural and regulatory genes have been monitored in either high-pigmented (HP) or not/low pigmented (NP) segments of the same fruit during the storage at 4 °C for a total experimental period of 25 days. Our results clearly indicate that the anthocyanin content is directly correlated with the levels of gene transcription, with higher pigmented areas showing higher enhancement of gene expression. Furthermore, we analyzed the reshaping of the DNA methylation status at the promoter regions of genes related to anthocyanin biosynthetic pathway, such as DFR and Ruby. Our results unequivocally demonstrate that in the promoter regions of both DFR and Ruby, the amount of cytosine methylation strongly decreases along the cold storage in the HP areas, whereas it increases in the NP areas of the same fruit, probably causing a partial block of the gene transcription. Finally, by measuring the changes in the expression levels of the Citrus DNA demethylases, we found that DML1 might play a crucial role in determining the observed demethylation of DFR and Ruby promoters, with its expression induced by cold in the HP areas of the fruits. This is the first report in which different levels of gene expression implicated in anthocyanin production in blood orange fruit is correlated with an epigenetic control mechanism such as promoter methylation.
The blood red color of pigmented orange fruit varieties [Citrus sinensis L. (Osbeck)] is due to the presence of anthocyanin pigments that largely contribute to determine the high organoleptic qualities and the nutritional properties of the fruits. The content of pigments in sweet orange depends primarily on genetic factors and on environmental conditions. In particular, it has been extensively shown that cold temperature induces an increase of anthocyanin content that is achieved by the induction of the related gene expression. The purpose of our work is to understand the mechanism underlying the color variegation occurring inside the blood oranges during the cold induction of anthocyanin biosynthesis, despite the fact that the entire fruit is genotypically programmed to produce pigments. Therefore, the amount of anthocyanin and the expression of both structural and regulatory genes have been monitored in either high-pigmented (HP) or not/low pigmented (NP) segments of the same fruit during the storage at 4 °C for a total experimental period of 25 days. Our results clearly indicate that the anthocyanin content is directly correlated with the levels of gene transcription, with higher pigmented areas showing higher enhancement of gene expression. Furthermore, we analyzed the reshaping of the DNA methylation status at the promoter regions of genes related to anthocyanin biosynthetic pathway, such as DFR and Ruby. Our results unequivocally demonstrate that in the promoter regions of both DFR and Ruby, the amount of cytosine methylation strongly decreases along the cold storage in the HP areas, whereas it increases in the NP areas of the same fruit, probably causing a partial block of the gene transcription. Finally, by measuring the changes in the expression levels of the Citrus DNA demethylases, we found that DML1 might play a crucial role in determining the observed demethylation of DFR and Ruby promoters, with its expression induced by cold in the HP areas of the fruits. This is the first report in which different levels of gene expression implicated in anthocyanin production in blood orange fruit is correlated with an epigenetic control mechanism such as promoter methylation.
Anthocyanins are water-soluble
pigments belonging to the flavonoid
compound family concerned in numerous aspects of plant development
and defense. Several varieties of sweet orange [(Citrus sinensis) L. Osbeck], which include Tarocco, Moro, and Sanguinello are able
to synthesize anthocyanins which confer to the fruit the characteristic
bloody color and make them easily distinguishable from the nonpigmented,
blond orange varieties.[1] Anthocyanins are
synthesized via the flavonoid pathway, which is a ubiquitous and well-described
plant secondary metabolism pathway.[2] Most
genes encoding the enzymes that biosynthesize the pigment molecules
have been cloned and characterized in various species,[3] the Citrus species included.[1,4−7] Phenylalanine is a direct precursor for the synthesis of anthocyanidins
and its conversion to the pigment core structure requires a series
of reactions. The first of them is represented by the transformation
of phenylalanine to trans-cinnamic acid catalyzed
by the phenylalanine ammonia lyase (PAL). In the following steps,
4-hydroxylation of cinnamic acid by cinnamate 4-hydroxylase (C4H)
generates p-coumaric acid that is converted by the
4-coumarate: CoA ligase (4CL) to the respective CoA ester. The first
specific enzyme of the anthocyanin biosynthetic pathway is chalcone
synthase (CHS) which condenses three malonyl-CoA and one p-coumaroyl-CoA molecules to produce the naringenin chalcone. The
naringenin chalcone is isomerized by chalcone isomerase (CHI) to the
flavanonenaringenin, which is subsequently converted to dihydrokaempferol
by flavanone 3′-hydroxylase (F3H). The dihydroflavonols, dihydroquercetin,
and dihydromyricetin, are synthesized from dihydrokaempferol by sequential
hydroxylations catalyzed by flavonoid 3′-hydroxylase (F3′H)
and flavonoid 3′,5′-hydroxylase, respectively. Dihydroflavonol
4-reductase (DFR) can reduce the dihydroflavonols to their corresponding
leucoanthocyanidins. Anthocyanidin synthase (ANS) converts the colorless
leucoanthocyanidins into the colored anthocyanidins, that, once formed,
are immediately modified by the UDP-glucose-flavonoid glucosyl transferase
(UFGT) that catalyzes the addition of a glucose molecule in the 3-OH
positions of anthocyanidins increasing their hydrophilicity and stability.[1] A similar mechanism to the detoxification process
was proposed for anthocyanin transfer into the vacuole, this localization
being necessary to prevent oxidation.[8,9] According to
that, anthocyanins need to be conjugated to glutathione by a specific
glutathione transferase (GST)[6] that is
often indicated as the real last enzyme involved in this metabolic
pathway. Anthocyanin biosynthesis is regulated mainly at the transcriptional
level by the MBW complex, composed by proteins of the Myb, basic helix–loop–helix
(bHLH) and WD-repeat families of transcription factors.[3,10,11] Specifically, pigmentation of
blood oranges originates from a retrotransposon insertion that allows
the expression of Ruby encoding the MYB-type transcription
factor of the MBW complex that activates anthocyanin production in C. sinensis.[11] Accordingly, the
majority of differences in anthocyanin levels in Citrus are related with the alteration of Ruby expression
caused by point mutations, or by indels resulting
from transposable elements.[12] Recently,
a group of mutants have been identified in which anthocyaninpigmentation
does not occur despite the presence of wild-type Ruby alleles. This subset of anthocyaninless variants is characterized
by the absence of proanthocyanidins in the seeds, and by fruit juice
almost completely lacking in acidity,[13] together defining the “acidless” phenotype. A bHLH
gene named Noemi has been found to have a crucial
role in the control of flavonoid biosynthesis as it interacts with Ruby to determine both anthocyanin production in citrus
leaves and bud and the regulation of fruit acidity.[13] However, the role of Noemi in pigmentedsweet orange fruit has not yet been investigated either in normal
or in stressful conditions. In the pigmented varieties, the anthocyanin
content may also vary in response of different environmental conditions
as such as light exposure, nutritional status, xenobiotic or hormone
treatments, and temperature.[14−19] The cold induction of anthocyanin biosynthesis has received greater
interest than other inducing environmental challenges because the
productivity of commercially important Citrus varieties
is seriously laid down by low temperature that induces metabolic changes
such as elevated electrolyte leakage, reduced photosynthetic capacity,
and respiration rate.[20] Most interestingly,
it has been shown that the pigment content of freshly harvested fruits
significantly increases throughout cold storage due to ongoing biosynthesis
of anthocyanins.[14,16,17] This enhancement is accomplished by both the up regulation of the
genes involved in the anthocyanin biosynthesis[14,16,17] and the increase of encoded proteins,[19] as well as by the induction of the regulatory Ruby gene transcription.[11] Further
transcriptome study showed that cold stress induces transcriptome
adjustments absolutely orientated toward the enhancement of the flavonoid
biosynthesis pathway in blood oranges, including those genes belonging
to upstream metabolic pathways, such as the shikimate pathway that
yields phenylalanine.[16] Interestingly,
the red color that is achieved in fruit flesh during both ripening
and in response to cold is not uniformly distributed in the fruit
flesh. On the contrary, pigment accumulation is concentrated in particular
areas of the entire fruit in which it is then possible to observe
highly pigmented and low/not pigmented segments, despite the fact
that they are programmed to synthesize anthocyanins by their genotype.
DNA methylation, in combination with histone modifications and non-histone
proteins, defines chromatin structure and accessibility. DNA methylation
contributes to regulate gene expression, transposon silencing, chromosome
interactions, and trait inheritance. Many early studies of abiotic
stress showed stress-induced DNA methylation and/or demethylation
patterns either genome wide or at specific loci. In some cases, these
changes in DNA methylation may be associated with transcriptional
regulation of genes involved in plant stress responses[21−24] suggesting that DNA methylation is important in mediating plant
interaction with the environmental signals. In this work, we evaluated
the effect of cold temperature storage upon anthocyanin accumulation
and the related gene expression both in high-pigmented (HP) and low/no
pigmented (NP) areas of the same fruit, separately. Similarly, Methylation
Sensitive Amplification Polymorphism (MSAP) analysis was used to determine
the methylation status of the DFR and Ruby promoters
during cold storage in both NP and HP areas to correlate the DNA methylation
levels with gene expression. In this way, we tried an easy way to
set to zero the genetic differences (same fruit) in order to highlight
the variation in epigenetic marks that can be responsible of different
gene expression levels. Moreover, the expression of DNA demethylases
involved in the dynamics of methylation rearrangements was also measured.
Finally, the role of the BHLH Noemi gene in the variegation
of pigmentation during cold stress was considered and discussed.
Materials and Methods
Plant Material and Cold
Storage Conditions
Pigmented
oranges (Tarocco Tapi) [C. sinensis (L.) Osbeck]
were harvested in January 2019 from approximately 15 year old trees
grown at the experimental agricultural field of University of Catania
located in Primosole, in the territory of Catania (Italy). Freshly
harvested oranges were washed with distilled water, gently dried with
paper towels, and then left to dry at room temperature overnight.
Subsequently, orange fruits were placed in a box (60 fruits) stored
in a ventilated cold room at 4 °C and 90–95% relative
humidity (RH). Samplings of the cold stored fruits were carried out
every 5 days for a total storage period of 25 days. During each sampling,
9 fruits were randomly collected and divided into three subgroups
of three fruits each. After fruit peeling, orange wedges have been
cut. The highly pigmented areas of the wegdes were separated from
the low/non- pigmented areas and those belonging to different fruits
of the same subgroup were pooled to constitute three independent mean
samples, and indicated as high-pigmented (HP) and low/no pigmented
(NP). The orange flesh was then immediately frozen with liquid nitrogen
and stored at −80 °C until used (both RNA and DNA extraction
and anthocyanin determination).
Extraction of Total RNA
and cDNA Synthesis
The total
RNA from orange fruit flesh (highly pigmented, HP, and low/no pigmented,
NP areas) was extracted using the RNAesy kit (Qiagen). Reverse transcription
was achieved using 2 μg of total RNA as the starting material
using the SuperScriptTM ViloTM cDNA synthesis kit by ThermoFisher
Scientific, according to the manufacturer’s instructions.
Measurement of Gene Expression by Real-Time Quantitative RT-PCR
Real-time qRT-PCR was performed with PowerUp SYBR Green Master
mix by ThermoFisher Scientific and carried out in the Bio-Rad iQ5
Thermal Cycler detection system. Primers, whose sequences are shown
in Table , were designed
using the Eurofins genomics “PCR Primer Design Tool” and obtained therein. The relative quantitation of gene
expression of the structural genes involved in anthocyanin biosynthesis
(pal, chs, dfr, ans, and ufgt), in the regulation of anthocyanin
biosynthesis (Ruby and Noemi), in
DNA demethylation (dme, dml1, dml3, and dml4), was performed in triplicate
and the fold change measurements calculated with the 2–ΔΔCT method as described in Lo Piero et al.[14] The elongation factor EF-1α housekeeping gene was used as
an endogenous reference. The ΔΔCT was calculated by subtracting the baseline’s ΔCT to the sample’s ΔCT where the baseline represents the expression level in
the low/not pigmented (NP) areas. Negative controls without reverse
transcriptase were routinely included.
Table 1
Primer
Sequences for Analysis of Gene
Expression and MSAP
primer
sequence
Cs_CHS_For
5′-TCTATGGACGGGCATCTTC-3′
Cs_CHS_Rev
5′-TGCCTCGGTTAGGCTTTTC-3′
Cs_DFR_For
5′-GCTGTTCGTGCTACTGTTC-3′
Cs_DFR_Rev
5′-GGCTAAATCGGCTTTCCATA-3′
Cs_ANS_For
5′- GGTGACTGCTAAATGTGTT-3′
Cs_ANS_Rev
5′CAAGTCCCCTGTGAAGAATA-3′
Cs_UFGT_For
5′- TCTTCAGCACTCCGCAATC-3′
Cs_UFGT_Rev
5′-TCCATCGGATACGTCGTAAG-3′
Cs_Ruby_For
5′-ACAATCCACCCCGTCTGATC-3′
Cs_Ruby_Rev
5′-CTGGCCTGCTTCAATGACTC-3′
Cs_DME_For
5′-CAGAAACCGCCCAAACGAAG-3′
Cs_DME_Rev
5′-GCATCGGTTGTCTCCCTGAT-3′
Cs_DML1_For
5′-GCCGCAGAATCCACTAACCT-3′
Cs_DML1_Rev
5′-CTTTACACAGCTGCCCGGTA-3′
Cs_DML3_For
5′-CGGCGAAAAAGCAACTCCAA-3′
Cs_DML3_Rev
5′-CTATGGTTCTGCCAGCGACA-3′
Cs_DML4_For
5′-GAAACCAGGCAAGACCCGTA-3′
Cs_DML4_Rev
5′-TTCATATCCAACGGCACGCT-3′
Cs_Ruby_ Pro2_For
5′-CGATGGAGTTTGGGCTTGAG-3′
Cs_Ruby_ Pro2_Rev
5′CCAGTCCAAGTTAACAATTCCCA-3′
Cs_DFR_pro_For
5′-ACCCAAAAGTAGGCCCAAGT-3′
Cs_DFR_pro_Rev
5′-GTTGCCGGGCTTGTTTATGT-3′
Total Anthocyanins
Content
Anthocyanin determination
was performed on 1 g of orange flesh (separately on HP and NP segments)
by pH differential spectrophotometry according to the method described
in Lo Cicero et al.[25]
Methylation
Sensitive Digestion
DNA extraction was
performed upon samples belonging to the HP and NP areas of the same
fruit average sample using the Invitrogen Plant DNAzol reagent kit.
The quality and integrity of extracted DNA was evaluated by spectrophotometric
analysis at NanoDrop (ThermoFisher Scientific, Waltham, MA, U.S.A.)
and trough gel electrophoresis, respectively. DNA digestion was carried
out using the methylation-sensitive endonuclease McrBC (New England
Biolab Inc., Ipswich, U.S.A.) which cleaves DNA containing methylcytosine
and 5-hydroxymethylcytosine on one or both strands. Sites on the DNA
recognized by McrBC consist of two half-sites of the form (G/A)mC.
These half-sites can be separated by up to 3 kb, but the optimal separation
is 55–103 base pairs.[26] The digestion
was carried out according to the following conditions: NEBuffer 2
(1×), BSA (200 μg/mL), GTP (3 mM), McrBC (15 U), 500 ng
DNA, ddH2O up to 25 μL, at 37 °C for 8 h followed
by enzyme inactivation at 65 °C for 20 min. McrBC requires GTP
for cleavage.[27] For each sample, a “test
reaction” in which GTP is included in the digestion mix and
a “reference reaction” in which GTP is excluded were
prepared. Successively, real-time PCR was performed using the PowerUpTM
SYBR Green Master Mix according to the manufacturer’s instructions:
40 ng of digested DNA was mixed with master mix 1×, 400 nM of
each primer in a total volume of 20 μL. Primers sequences are
listed in Table and
indicated by wording “pro”. A “test
reaction” and a “reference reaction” were prepared
by adding DNA from “test reaction” and “reference
reaction” of the previous digestion step, respectively. Each
sample was screened in triple technical replicates. The mean CT values obtained were used to calculate ΔCT as follows: ΔCT = [CT(test) – CT(reference)] and the methylation percentage
was calculated as methylation% = 100 – (100 × 2–Δ).
Statistical Analysis
Data were analyzed by one-way
ANOVA (p < 0.05) followed by Tukey’s test
for multiple comparison procedures using the statistical software
package Statistica v. 13.0 (Dell Inc., Round Rock, TX, U.S.A.).
Results and Discussion
The analysis of the pigmentation
of the blood orange varieties
has been subject of many researches and has clarified the pathway
leading to anthocyanin biosynthesis and its regulation.[1] Presently, it is well-known that anthocyaninpigmentation is exclusively achieved in the blood orange varieties
because of a transposon insertion at the Ruby regulatory
gene promoter that allows Ruby expression as well
as the constitution of the MBW complex needed for the activation of
the biosynthetic metabolic pathway.[11] The
effect of low temperature upon the anthocyanin biosynthesis has also
been studied in depth, ascertaining that pigment levels increase in
response to cold storage due to the induction of structural genes
involved in their biosynthesis,[1,4−6] as well as to the enhancement of Ruby expression.[11] However, the reason why different levels of
pigment content are achieved inside the same orange fruit has been
unexplored, and it could lead to novel knowledge in the regulation
of pigment production. In this work, the amount of anthocyanin was
measured in two separated segments of the same orange fruit characterized
by a different level of pigmentation, and indicated as highly pigmented
(HP) and low/no pigmented (NP) areas. The effect of cold storage upon
the anthocyanin content of both HP and NP segments of orange fruits
is reported in Figure . The amount of anthocyanins of NP samples was not affected by cold
during the entire experimental period. On the contrary, the anthocyanin
content of the HP areas sharply increased starting from the second
sampling date throughout the remaining storage period (Figure ). Pigment levels, in fact,
rose from an initial value of 0.6 mg/100 g (5 days of storage) to
2.46 mg/100 g (after 25 days storage). The amount of anthocyanin was
also measured at the third (15 days of storage) and at fifth (25 days
of storage) samplings upon flesh samples left at room temperature
(25 °C). In those samples, the anthocyanin level did not increase,
thus indicating that the observed increase of pigment levels in HP
areas of cold stored fruit is specifically induced by low temperature
(data not shown). The expression profile of pal, chs, dfr, ans, and ufgt was investigated in the above-mentioned HP and NP segments
of orange fruits exposed to cold using the real time RT-PCR. The results
are illustrated in Figure reporting the relative transcript levels of considered genes
standardized to the constitutive elongation factor EF-1α gene
expression level and normalized to NP samples 2–ΔΔ (see the Materials
and Methods for details). As shown in Figure A, the expression of pal increased from the first sampling date on (5 days storage) reaching
a peak after 15 days of cold storage in the HP areas at which the
expression level was more than 4 times higher with respect to the
NP areas. Similarly, the transcripts of chs, dfr, ans, and ufgt enhanced
up at the second sampling reaching at the third sampling (after 15
days of storage) expression levels ranging between 3 and 4 times higher
than the NP samples (Figure B–E). Therefore, the different pigmentation, revealed
by visual inspection in different areas of the same cold stored fruit,
was assessed by direct anthocyanin measurement (Figure ) and it is brought by increased expression
levels of the structural genes involved in pigment biosynthesis (Figure ). Figure reports the expression pattern
of the Ruby and Noemi regulatory
genes. In particular, Figure A highlights that Ruby expression increases
in the HP areas of the cold stored fruits reaching a peak after 15
days of storage at which it shows more than three times higher values
of the NP areas, in line with the expression pattern of the structural
genes. Hence, the metabolic pathway of anthocyanin biosynthesis involving
both structural and Ruby regulatory genes is cold-
induced in the HP pigmented areas. As concerns the expression pattern
of Noemi during cold storage, Figure B clearly shows that no differences in gene
expression can be registered between HP and NP areas of the same fruit
during the entire experimental period. This finding suggests that
although Noemi is expressed in the sweet orange flesh,
it seems not implicated in the cold induced increase of anthocyanin
content in the fruit HP areas. Consequently, our results contribute
to define the picture on the Noemi function in Citrus genus which it is strictly correlated to both anthocyanin
production in leaves and buds, and to high acidity in the fruit,[13] but likely not in the control of pigmentation
in fruit flesh. In this latter organ the activity of Noemi seems to be released by the role of Ruby in determine
pigmentation, at least under cold stress. It has been shown that epigenetic
marks such as DNA cytosine methylation can control the expression
of several traits especially under stressful conditions, often overlapping
their genetic control.[21] Many studies have
explored how DNA methylation regulates fruit development. The analysis
of the methylome of tomato fruit during development at single base
resolution revealed an epigenetic trigger of tomato fruit ripening
represented by a gradual decrease of DNA methylation.[28] However, it seems that there is a causal relationship between
fruit ripening and DNA methylation. For instance, the single-base
resolution DNA methylome of sweet orange fruits revealed that ripe
oranges gain a global increase in DNA methylation during fruit ripening
indicating that the DNA hypermethylation is critical for the proper
ripening of oranges as well as of Satsuma mandarin fruits.[29,30] Gene-associated DNA methylation in plants can occur in the promoter
region or within the transcribed gene body. Genes with methylated
promoters have a higher degree of tissue-specific expression than
other genes.[31] Additionally, promoter DNA
methylation typically inhibits gene transcription, even though it
can also promote gene expression, as it happens in the case of several
ripening-repressed genes, such as those involved in photosynthesis,
in mutant tomato fruits lacking of demethylase activity (SlDML2).[32] Promoter DNA methylation directly represses
gene transcription by affecting the binding of transcription activators
to DNA or promoting the binding of transcription repressors or, indirectly,
by inducing repressive histone modifications.[33,34] In Figure , the
variation of methylation status of Ruby and DFR promoters during cold stress is shown in HP and NP
fruit segments by MSAP, as described in the Materials
and Methods section. Besides Ruby, we chose
DFR as it represents an important regulatory point in the anthocyanin
biosynthetic pathway, also controlling the flux into biosynthetic
pathway branches leading to distinct anthocyanin profiles.[5] The analysis of methylation status of Ruby promoter highlighted that the percentage of DNA methylation
increased in the NP segments from 15% to 35% during cold stress, whereas
a dramatic reduction of the Ruby promoter methylation
is observed in the HP areas during the experimental period (Figure A). Although the
methylation status of the Ruby promoter is higher
after 5 days of cold storage in the HP portion of the fruit, it shows
a gradual and sharp reduction indicating that cold stress interferes
with the programmed methylation dynamics inside the fruit by inducing
demethylation and causing the activation of the anthocyanin biosynthesis.
Similarly, hypomethylation of the MdMYB1 promoter,
regulating anthocyanin production in apples, was correlated with the
formation of red pigmentation in fruit skins during a bagging experiment
aimed to enhance the red pigmentation in apple skin.[35] Likewise, the dfr promoter was methylated
(about 55%, after 25 days of storage) in the NP areas, whereas a decrease
of methylation status is registered in the HP segments reaching the
1% value at the end of the experimental period (Figure B). Therefore, cold stress induces deep and
different rearrangements of the methylation at Ruby and DFR promoter regions that result strongly demethylated
in the HP areas compared to the NP areas, at the end of the cold exposure.
Consequently, it is likely that DNA demethylation at Ruby and DFR promoters might have a crucial role in
“opening” of the anthocyanin biosynthesis
pathway induced by cold in the HP segments of orange fruits. On the
contrary, the maintenance of high levels of DNA methylation might
represent a partial block of gene transcription in the NP segments.
DNA demethylation in Arabidopsis is catalyzed by
5′-methylcytosine DNA glycosylase/lyase enzymes, including
REPRESSOR OF SILENCING 1 (ROS1), DEMETER (DME), DEMETER-LIKE 2 (DML2),
and DML3.[36] By searching for DNA demethylase
genes in the orange genome, four AtROS1 orthologs
have been identified indicating that distinct demethylases are involved
in removing the DNA methylation mark in Citrus genus.[29] They include orange1.1t01511 (CsDME), Cs6g15500 (CsDML1), Cs5g04950 (CsDML4), and Cs3g07800 (CsDML3). The expression of
these four genes was monitored in both HP and NP areas of cold stressed
samples. As shown in Figure A–C, the expression level of DME, DML4, and DML3 was
repressed by cold in the HP segments compared to NP areas starting
from the 15 days of storage. Conversely, the expression of DML1 was
induced by cold in the HP areas in correspondence of the second (10
days) and fourth (20 days) samplings (Figure D). Therefore, the increase in the expression
of DNA demethylase DML1 gene is highly consistent with the gradual
decrease in DNA methylation levels of the HP segments during cold
storage and suggests a main role of DML1 in remodeling the methylation
status of those areas. The importance assumed by the DNA demethylases
in the reshaping of the DNA methylation status has been also observed
during Satsuma fruit ripening, in which the global increase in DNA
methylation is likely due to decreasing in the expression of DNA demethylase
genes.[30] In conclusion, we assessed that
cold stress actives the anthocyanin production in blood oranges, which
are genotypically programmed to do so, not evenly, but determining
differently pigmented segments inside the same fruit (Figure B). The cold induced enhancement
of anthocyanin is caused by the ongoing of induction of regulatory
(Ruby) and structural (pal, chs, dfr, ans ,and ufgt) gene expression.
Figure 1
(A) Anthocyanin content in pigmented (HP)
and low/not pigmented
(NP) areas of cold stored fruit flesh; (B) picture of sweet orange
cold stored fruits. Samples have been prepared as described in the
“Materials and Methods” section
and assayed for anthocyanin content. Each point represents the mean
value of three replications ± SD. Each replication was composed
of three fruits. Significantly different values, within each sampling
time, are indicated by different letters (p <
0.05).
Figure 2
Evaluation of gene expression in high pigmented
(HP) and low/not
pigmented areas (NP) of fruit flesh during cold storage (A) pal, (B)chs, (C)dfr, (D)ans, and (E)ufgt. The relative quantitation
of gene expression between samples was calculated by real time RT-PCR
using the comparative threshold (CT) method,
as described in the Materials and Methods.
The ΔΔCT was calculated by
subtracting the baseline’s ΔCT to the sample’s ΔCT where
the baseline represents the expression level in the low/not pigmented
areas. Each point represents the mean value of three replications
± SD. Each replication was composed of three fruits. Significantly
different values, within each sampling time, are indicated by different
letters (p < 0.05).
Figure 3
Expression
analysis of regulatory genes (A)Ruby, (B) Noemi, in high pigmented (HP) and low/not
pigmented (NP) areas of fruit flesh during cold storage by real time
RT-PCR. For details, refer to “Materials and
Methods”. Each point represents the mean value of three
replications ± SD. Each replication was composed of three fruits.
Significantly different values, within each sampling time, are indicated
by different letters (p < 0.05).
Figure 4
Analysis of the methylation status of both Ruby (A)
and DFR (B) promoter regions. The levels of
(G/A)mC was measured in both pigmented (HP) and not/low pigmented
(NP) areas of fruit flesh at 5, 15, and 25 days storage by the application
of the MSAP technique. For details, refer to “Materials and Methods”. Each point represents the mean
value of three replications ± SD. Each replication was composed
of three fruits. Significantly different values, within each sampling
time, are indicated by different letters (p <
0.05).
Figure 5
Expression pattern of demethylase encoding genes
(A)dme, (B)dml3, (C)dml4, and (D)dml1in pigmented (HP) and low/not pigmented
(NP) areas of
fruit flesh during cold storage. For details, refer to “Materials and Methods” Each point represents
the mean value of three replications ± SD. Each replication was
composed of three fruits. Significantly different values, within each
sampling time, are indicated by different letters (p < 0.05).
(A) Anthocyanin content in pigmented (HP)
and low/not pigmented
(NP) areas of cold stored fruit flesh; (B) picture of sweet orange
cold stored fruits. Samples have been prepared as described in the
“Materials and Methods” section
and assayed for anthocyanin content. Each point represents the mean
value of three replications ± SD. Each replication was composed
of three fruits. Significantly different values, within each sampling
time, are indicated by different letters (p <
0.05).Evaluation of gene expression in high pigmented
(HP) and low/not
pigmented areas (NP) of fruit flesh during cold storage (A) pal, (B)chs, (C)dfr, (D)ans, and (E)ufgt. The relative quantitation
of gene expression between samples was calculated by real time RT-PCR
using the comparative threshold (CT) method,
as described in the Materials and Methods.
The ΔΔCT was calculated by
subtracting the baseline’s ΔCT to the sample’s ΔCT where
the baseline represents the expression level in the low/not pigmented
areas. Each point represents the mean value of three replications
± SD. Each replication was composed of three fruits. Significantly
different values, within each sampling time, are indicated by different
letters (p < 0.05).Expression
analysis of regulatory genes (A)Ruby, (B) Noemi, in high pigmented (HP) and low/not
pigmented (NP) areas of fruit flesh during cold storage by real time
RT-PCR. For details, refer to “Materials and
Methods”. Each point represents the mean value of three
replications ± SD. Each replication was composed of three fruits.
Significantly different values, within each sampling time, are indicated
by different letters (p < 0.05).Analysis of the methylation status of both Ruby (A)
and DFR (B) promoter regions. The levels of
(G/A)mC was measured in both pigmented (HP) and not/low pigmented
(NP) areas of fruit flesh at 5, 15, and 25 days storage by the application
of the MSAP technique. For details, refer to “Materials and Methods”. Each point represents the mean
value of three replications ± SD. Each replication was composed
of three fruits. Significantly different values, within each sampling
time, are indicated by different letters (p <
0.05).Expression pattern of demethylase encoding genes
(A)dme, (B)dml3, (C)dml4, and (D)dml1in pigmented (HP) and low/not pigmented
(NP) areas of
fruit flesh during cold storage. For details, refer to “Materials and Methods” Each point represents
the mean value of three replications ± SD. Each replication was
composed of three fruits. Significantly different values, within each
sampling time, are indicated by different letters (p < 0.05).Moreover, the analysis of methylation
status of Ruby and DFR promoters
indicated that the level of cytosine
methylation sharply decreases in HP segments thus suggesting that
DNA demethylation might represent a reversible epigenetic mark that
is removed during cold stress in the HP areas. Finally, by the analysis
of gene expression, it is likely that DML1 is the demethylase involved
in the cold induced DNA demethylation occurred in the HP areas. Finally,
the role of Noemi in fruit flesh under cold stress
has been investigated indicating that it is not involved in cold induced
fruit pigmentation. As far as we know, this is the first report regarding
the role of the epigenetic control of fruit anthocyanin synthesis
induced by cold that might be correlated with its dappled pigmentation.
Authors: Rafael A Irizarry; Christine Ladd-Acosta; Benilton Carvalho; Hao Wu; Sheri A Brandenburg; Jeffrey A Jeddeloh; Bo Wen; Andrew P Feinberg Journal: Genome Res Date: 2008-03-03 Impact factor: 9.043
Authors: Sindy Gutschker; José María Corral; Alfred Schmiedl; Frank Ludewig; Wolfgang Koch; Karin Fiedler-Wiechers; Olaf Czarnecki; Karsten Harms; Isabel Keller; Cristina Martins Rodrigues; Benjamin Pommerrenig; H Ekkehard Neuhaus; Wolfgang Zierer; Uwe Sonnewald; Christina Müdsam Journal: BMC Genomics Date: 2022-02-17 Impact factor: 3.969