Folate Polyglutamylation is Required for Rice Seed Development
© Springer Science + Business Media, LLC 2010
Received: 8 June 2009
Accepted: 6 May 2010
Published: 16 June 2010
In plants, polyglutamylated folate forms account for a significant proportion of the total folate pool. Polyglutamylated folate forms are produced by the enzyme folylpolyglutamate synthetase (FPGS). The FPGS enzyme is encoded by two genes in rice, Os03g02030 and Os10g35940. Os03g02030 represents the major expressed form in developing seed. To determine the function of this FPGS gene in rice, a T-DNA knockout line was characterised. Disrupting Os03g02030 gene expression resulted in delayed seed filling. LC-MS/MS-based metabolite profiling revealed that the abundance of mono- and polyglutamylated folate forms was significantly decreased in seeds of the knockout line. RT-qPCR detected an increase in the transcript abundance of folate biosynthesis genes in seed of the knockout plant, whereas the folate deglutamating enzyme γ-glutamyl hydrolase mRNA level was reduced. Our study has uncovered a novel role for folate polyglutamylation during rice seed development and a potential feedback mechanism to maintain folate abundance.
Folate (pteroylglutamate acid) is an essential B vitamin that functions as a cofactor for enzymes in one-carbon metabolism in animal and plant systems. One-carbon units are required for nucleic acid and amino acid biosynthesis plus methylation reactions on lipids, proteins and DNA (Hanson and Gregory 2002).
Folate molecules exist in vivo mainly as polyglutamates which are the preferred form by most folate-dependent enzymes (Shane, 1989). Indeed, polyglutamylated 5-methyltetrahydrofolate is required for the largest plant C1 anabolic flux, which converts homocysteine to methionine (Hanson and Roje, 2001; Ravanel et al. 2004). In addition, the glycine–serine interconversion, which links the metabolism of one-, two- and three-carbon compounds, is another sink for the polyglutamylated folates (Bauwe and Kolukisaoglu, 2003, Besson et al. 1993). These glutamate-extended folate molecules are produced by folylpolyglutamate synthetase (FPGS, EC 126.96.36.199). This enzyme is responsible for sequentially conjugating L-glutamic acid residues with monoglutamate folate via γ-carboxyl peptide linkages (Suh et al., 2001). Studies of folate polyglutamylation in yeast and mammalian systems have shown that this post-biosynthetic processing protects this molecule from oxidative breakdown by protein binding (Suh et al. 2001, Jones and Nixon 2002), which is favoured by polyglutamylation resulting in folate stability. Furthermore, protein binding aids the protection of deglutamylation of polyglutamyl folates γ-glutamyl hydrolase (GGH; Wang et al. 1993). Hence, these mechanisms could retain cellular polyglutamylated folate forms for the demand of cells. In plants, the degree of glutamylation varies between organs (Lowe et al. 1993). Tetra- and pentaglutamylated folate forms are reported predominant in pea leaves (Imeson et al. 1990); whereas diglutamylated folate is predominant in carrot root (Cossins and Chen 1997).
In Arabidopsis, three FPGS genes are reported to encode distinct mitochondrial, cytoplasmic and plastidial isoforms of this enzyme. The tri-compartmentation of FPGS in Arabidopsis was reported as being a key to the homeostasis of folate and folate-dependent metabolites (Ravanel et al. 2001). It is therefore surprising that rice contains only two FPGS isoforms in rice, namely, FPGS Os03g02030 and FPGS Os10g35940. The presence of only two FPGS isoforms in rice may be indicative of either dual targeting of one or both proteins to multiple compartments and/or the movement of folate polyglutamates between the source and sink sites.
In this paper, we investigated the developmental function of FPGS Os03g02030. Characterisation of a rice knockout mutant revealed a role for this FPGS isoform during seed filling, for maintaining mono- and polyglutamylated folate levels and revealing that the transcript abundance of folate biosynthesis genes was subject to feedback regulation.
FPGS genes are differentially expressed in rice tissues
FPGS gene sequences were identified in the rice genome based on their homology to the Arabidopsis FPGS genes, At5g05980, At3g55630 and At3g10160. Arabidopsis protein sequences were used to identify their orthologues in rice using the Gramene database (http://www.gramene.org/) employing the BLASTP tool. The rice genome contains two genes, Os03g02030 and Os10g35940, which encode two putative FPGS proteins. They present 50–57% protein identity with three Arabidopsis FPGS isoforms (The homology of Arabidopsis and rice protein sequences is provided in the Electronic Supplementary Material Fig. S1). The FPGS enzyme requires three substrates, ATP, tetrahydrofolate and glutamate molecules, which bind different sites on the FPGS molecule. The putative rice FPGS protein sequences contain all the previously reported functional motifs (Sun et al., 2001; Fig. S1). Although three Arabidopsis FPGS genes encode compartment-specific isoforms, no experimental study reports localisation of rice FPGS isoforms. However, based on the signal sequence prediction software such as TargetP, both mitochondrial and plastidial signal peptides have been suggested in the expanded N-terminal of both rice FPGS isoforms (data not shown).
Identification of a FPGS Os03g02030 knockout line
To investigate whether the Os03g02030 FPGS gene functions during seed development, a T-DNA insertion line was characterised. Information about T-DNA insertion lines were obtained from the OryGenes website (http://orygenesdb.cirad.fr). Seed for insertion line FST number A16772 which disrupts the FPGS Os03g02030 gene in rice Oryza sativa cv. Dongjin background was obtained from Postech (http://www.postech.ac.kr/life/pfg/risd). The FPGS Os03g02030 gene contains 16 exons, with the T-DNA inserted within the second exon (Electronic Supplementary Material Fig. S2).
RT-qPCR was also performed to monitor the impact of the T-DNA insertion on FPGS Os03g02030 mRNA abundance using cDNA specific primers, 3gE1_for and 3gE1 1_rev (Fig. 4). FPGS Os03g02030 mRNA was not detected in the T-DNA line whereas transcripts were detected for the actin positive control (Fig. 5b). Hence, line number 5 represented a loss of function allele for FPGS Os03g02030. This FPGS knockout line is referred as fpgs03g in the rest of the text.
The fpgs03g mutant exhibits delayed seed filling
Observation of Developmental Stage of Dongjin and fpgs03g Plants
Rice developmental stages
Days after starting germination
Seedling (third-leaf protuding)
Tilering and elongation
Polyglutamylated folate levels were decreased in the fpgs03g mutant seed
Total Folate Levels and Folate Derivatives in Leaf and Seed from Dongjin Wild Type and fpgs03g Mutant
Rice Variety (n = 3)
Folate Form (µg/100 g)
5– and 10–CHO–H4PteGlu
5.16 + 0.72
1.62 + 0.24
0.33 + 0.01
0.7 + 0.40
4.36 + 0.47*
12.17 ± 0.40*
3.88 + 0.14
0.79 + 0.18
0.67 + 0.01
0.7 + 0.01
2.65 + 0.1*
8.69 ± 0.10*
3.2 1 + 0.70*
1.87 + 0.28
0.33 + 0.01*
0.3 + 0.004*
0.74 + 0.01*
6.45 ± 1.00*
2.13 + 0.30*
1.72 + 0.61
0.11 + 0.001*
0.1 + 0.00*
0.22 + 0.01*
4.28 ± 0.20*
The level of the major polyglutamylated folate form 5–CHO–H4PteGlu5 in fpgs03g leaf and seed tissues was significantly lower than the wild type (Table 2). Similarly, 5–CH3–H4PteGlu5 levels were decreased in only seed tissue (Table 2). In addition, the monoglutamylated folate 5–CH3–H4PteGlu was significantly reduced only in the seed of the knockout line. Overall, there was a 33% and 28% decrease in total folate levels in seed and leaf samples of the knockout line compared to the wild type, respectively. Hence, loss of FPGS 03g02030 gene expression resulted in reduction of both mono- and polyglutamylated folate content.
Transcript abundance of folate biosynthesis genes is up-regulated in the fpgs03g mutant
To examine the effect of disrupting the Os03g02030 FPGS gene on other folate-related genes, RT-qPCR was performed on cDNA prepared from mRNA isolated from grains of fpgs03g and Dongjin wild type. Thirteen genes encoding the enzymes in the folate biosynthesis pathway (Fig. 2) were identified in the Gramene database (The list of all enzymes and genes is provided in the Electronic Supplementary Material Table S1). RT-qPCR probes were designed for all 13 folate-related genes.
In grains (Fig. 7a), the mRNA abundance of almost every biosynthetic gene (GTPCHI, ADC synthase, ADC lyase, HPPK/DHPS) increased in the fpgs03g knockout line compared to the wild type. The transcripts of most genes increased in the knockout except the FPGS Os10g35940 gene which was expressed at a similar level to the wild type and GGH which decreased approximately twofold. In leaf (Fig. 7b), the transcript abundance of all genes also increased in the knockout similar to grain except the FPGS Os10g35940 gene which increased approximately twofold.
A significant proportion of plant folates exists in a polyglutamylated form (Storozhenko et al. 2007, Orsomando et al. 2005, Díaz de la Garza et al. 2004). This study has employed LC-MS/MS to reveal that approximately 40% of rice folate forms detected in leaf and 20% of folate in seed exists either as tetra or penta forms of the 5–CH3– and 5/10–CHO–H4Pte (Table 2). The polyglutamate chain length of folates can be affected by a number of factors of which include the polyglutamylating enzyme FPGS (Chen et al. 1996) and the deglutamylating enzyme GGH (Galivan et al. 2000). Two putative FPGS genes exist in rice. Expression profiling has revealed that the FPGS Os10g35940 transcript level is more abundant in rice leaves, whereas the FPGS Os03g02030 transcript is found at higher levels in most other organs including in rice seed. This study has explored the physiological importance of the FPGS Os03g02030 gene employing a functional genomics approach.
Polyglutamylation of folate affects rice grain filling
Characterisation of a rice knockout mutant in Os03g02030 revealed that plants lacking this gene product exhibit a delayed seed development phenotype. Seed development was impaired from the heading stage, leading to slower grain filling and late maturation of grains. Folate profiling of fpgs03g knockout revealed the decrease of polyglutamylated folate forms in grain (0.43 µg/100 g) compared to Dongjin wild type (1.37 µg/100 g). Hence, a major proportion of polyglutamylated folates in grain would be dependent on the expression of FPGS Os03g02030 gene. Since embryo development occurs within a few days after anthesis stage (Counce et al. 2000), impaired folate polyglutamylation is likely to impact the rate of DNA synthesis, causing a delay in embryo development. Alternatively, the delayed grain phenotype exhibited by fpgs03g may reflect the impact on other folate-dependent processes such as the glycine–serine interconversion and methionine biosynthesis and biogenesis (Somerville, 2001, Wingler et al. 1997, Heineke et al. 2001, Moffatt and Weretilnyk, 2001, Gallardo et al. 2002).
The degree of glutamylation varies between developmental organs (Lowe et al. 1993). Tetra- and pentaglutamylated folate forms account mainly in pea leaves (Imeson et al. 1990) which is in agreement with rice folate profiles reported in this paper. 5-Formylpentaglutamate is a major polyglutamylated folate form in both rice leaf and grain. Changes in polyglutamylated folates level in rice organs are influenced by FPGS activity.
Considering on FPGS expression based on the transcript abundance, FPGS Os10g35940 increased approximately twofold in the knockout leaf suggesting the compensation of FPGS activity from FPGS Os10g35940 during the vegetative stage with no changing of the leaf phenotype. This compensation reflects no significant change of 5-methyltetraglutamate and 5-methylpentaglutamate. However, approximately 39% decreasing of 5-formylpentaglutamate in the knockout leaf suggests that the compensation of glutamylation of FPGS Os10g35940 in leaf might not be responsible to generating 5-formylpentaglutamate folate form.
In contrast, during grain development, FPGS Os10g35940 seems not to be affected and not show the compensation of FPGS activity as in the knockout grain, the levels of all polyglutamylated folate forms decreased significantly. Decreasing of 5-methyltetraglutamate and 5-methylpentaglutamate folate forms showed approximately 66% compared to wild type, whilst 5-formylpentaglutamate decreased approximately 70%. These results strongly suggest that FPGS Os03g02030 play a key role in glutamylation during grain development.
Interestingly, this study has shown that germination, the developmental stage reported to generate the greatest demand for folates (Jabrin et al. 2003, Gambonnet et al. 2001), was not affected in the fpgs03g mutant. This suggests that the remaining rice FPGS gene Os10g35940 can compensate for the lack of Os03g02030 activity during germination. Alternatively, this modification to folate polyglutamylation activity may not be essential during germination and embryo development such that enzymes normally dependent on polyglutamated folates are able to substitute them with monoglutamated folate forms. This idea could be supported by elevating of the transcript levels of GTPCHI, ADC synthase and HPPK/DHPS, monoglutamate folate synthesis genes, indicating the increasing of monoglutamate folate production. However, these possibilities will require the characterisation of the phenotype of plants lacking both rice FPGS genes.
Folate biosynthesis gene expression is subject to feedback regulation
Molecular profiling of the fpgs03g knockout line has generated several new insights into the regulation of folate homeostasis in plants. Firstly, LC-MS/MS metabolite profiling of fpgs03g seed revealed a reduction in both mono- and polyglutamylated folate forms (Table 2). This result is in agreement with previous studies from a number of organisms which show that folate polyglutamylation is involved in retention and homeostasis of folates (Desouza et al. 2000; Lin et al. 1993; Lin and Shane, 1994). The reduction in monoglutamated folates may be a result of folate breakdown, as polyglutamylated protein-bound folates are less susceptible to oxidative breakdown (Suh et al. 2001).
All ten steps involved in the plant folate biosynthesis pathway have been described and characterised, and the expression of several enzymes involved in this pathway has been correlated with the folate pool and the carbon-one unit demands in various physiological situations (Basset et al., 2002, 2004a, 2004b; Jabrin et al., 2003). Indeed, this study has confirmed these previous observations, in that the reduction in folate abundance in tissues of the fpgs03g knockout line was shown to be correlated with an increased expression of a number of folate biosynthesis genes, namely GTPCHI, ADC synthase, ADC lyase and HPPK/DHPS compared to wild type (Fig. 7). Mutant plant appears to compensate for reduced polyglutamylation by increasing its substrate, monoglutamate folate, through increasing mRNA level of folate synthesis genes to maintain the folate pool. Interestingly, an increase in the expression of the second rice FPGS isoform (Os10g35940) in leaf (Fig. 8b) is coupled with a reduction in GGH transcript levels in the fpgs03g knockout plant. This finding may indicate a mechanism by which the disrupted FPGS isoform is compensated by the functional rice FPGS, whilst the vacuolar folate deglutamylation is reduced and thus the cellular mono- and polyglutamate folate pools are maintained. The induced changes in transcript levels of folate biosynthetic genes as a result of folate depletion are an established mechanism in human cells, associated with intracellular folate retention (Hayashi et al. 2007). Future studies will focus on determining the molecular basis of this regulatory mechanism which will aid manipulation of folate abundance in plants.
Dry mature grains of rice (O. sativa) cultivar Dongjin and T-DNA knockout plants for FPGS Os03g02030 gene were obtained from Postech, Korea.
Rice growth condition
A number of rice seeds were germinated. They were soaked with distilled water on a Petri dish and kept in growth chamber at 26–28°C until germination. Germinated seeds were transfer into compost containing a 1:1 ratio of Levington M3 and John Innes no. 3. Pots were then placed in the same growth chamber at University of Nottingham, Sutton Bonington campus, UK with a 12-h light cycle at 28–30°C during the day and 21°C during the night.
For genotyping of T-DNA knockout lines, their DNA was extracted from at least 100 mg of leaves using MATAB (Sigma, UK). Rice mutant leaves were homogenised in liquid nitrogen. MATAB was pre-heated in 72°C water bath and added 900 µl into homogenised samples. The reaction was incubated for 1 h with shaking every 15 min. Then, 900 µl of CIAA was added in each tube and centrifuged at 6,500 rpm for 10 min. The supernatant was removed into the new tube with 2 units of RNase (Novagen, Germany). The reaction was incubated at 37°C for 30 min and 900 µl of CIAA was added into each tube before re-centrifugation at the same speed. The supernatant was transferred after centrifugation into a new tube, 720 µl of isopropanol was added and kept at 4°C for 10 min. All the tubes were centrifuged, and the DNA pellet was collected. The pellet was washed with 1 ml of 75% ethanol, dried, re-suspended in 50 µl of sterile water and stored at −20°C.
Southern blot analysis
Genomic DNA (5 μg) from T-DNA plants was digested with EcoRI enzyme and run on 0.8% agarose gel electrophoresis with a molecular DNA marker. DNA was transferred onto nylon membrane, then probed with HPT gene and FPGS gene fragments (for primer sequences used to generate probe, see the Electronic Supplementary Material Table S2) labelled with alpha32P-dCTP. The membranes were generally washed once for 15 min in 0.5 × SSC/0.1% SDS, once for 30 min in 0.5 × SSC/0.1%SDS and once for 15 min in 0.1 × SSC/0.1%SDS. The washed membrane was subsequently exposed to the photosensitive card (Amersham cassettes) for 3 days at room temperature. A photo imager storm 820 Amersham scanner was used to visualise the genotype. The highest resolution of 50 µm was used, and each image was scanned.
Polymerase chain reaction
To genotype FPGS Os03g02030 mutant lines, their genomic DNAs were amplified to detect the presence of the T-DNA insertion. The primers used for screening the wild-type plants were named 3gE1_for and 3gE4_rev. 3gE1_for and RB_rev primers were used for detecting the T-DNA insertion (for primer sequences, see the Electronic Supplementary Material Table S3). For testing gene expression by RT-PCR, primers 3gE1_for and 3gE11_rev were used. The expected fragments from each primer pair were amplified from 10 ng of rice DNA using 10 pmol of gene specific primers in 25 μl of the reaction mixture containing 10× PCR buffer, 1.5 mM MgCl2, 0.2 mM dNTPs (Promega, UK) and 1 unit of Taq DNA polymerase (red hot Taq polymerase, ABgene, UK). The PCR conditions used to amplify the genes of interest were as follows: an initial denaturation step of 2 min at 94°C, 35 cycles of 30 s for denaturation at 94°C, 30 s for annealing at (Ta)°C (depends on primer pairs, see the Electronic Supplementary Material Table S3) and 1 min for the extension step at 72°C. The final extension was carried out for one cycle at 72°C, 10 min. The PCR products were analysed on a 1% agarose gel containing 0.4 μg/ml ethidium bromide. Gels were visualised using a Gel Doc EV500 scanner (Syngene, UK).
Sample preparation for all RT-qPCR assay
The third green leaf of 2-week-old wild-type and mutant plants was collected in 1.5 ml eppendorf tube from at least five plants per pool. At least three pools of samples were collected. All leaf samples were homogenised in liquid nitrogen using pestles and kept at −80°C until RNA isolation. To prepare grain samples for RT-qPCR analysis, the outer layer of approximately 40 dry seeds was removed by hand. All brown seeds were ground together with Retsch® MM301 ball mill equipment at frequency of 30 1 s−1 for 1 min. Ground samples were stored at −80°C until RNA isolation.
Total RNA was extracted from collected rice samples by using TRIzol reagent (Invitrogen, UK) according to the manufacturer’s protocol. In brief, plant samples were homogenised in liquid nitrogen, 1 ml of TRIzol reagent was added to 100 mg of homogenised samples and was mixed thoroughly. After centrifugation at 11,400 rpm for 10 min at 4°C to remove cell debris, 200 µl of chloroform was added and mixed by vigorous shaking for 15 s. After centrifugation at the same speed, the aqueous phase was kept. To precipitate RNA, 500 µl of isopropanol was added. For glycogen-rich samples such as grains, 250 µl of isopropanol and 250 µl of 0.8 M sodium citrate containing 1.2 M sodium chloride solution were added instead. After 10 min incubation at room temperature, the mixture was centrifuged at the same speed mentioned above and RNA pellet was kept. The pellet was washed by 75% ethanol, re-suspended in 180 µl of distilled water and treated with DNase enzyme (RNase-free DNase, Promega, UK) at 37°C for 30 min. RNA was cleaned up using phenol/chloroform. Treated total RNA was stored at −80°C.
First-stranded cDNAs were synthesised from 500 ng of treated total RNA with SupersciptTM II reverse transcriptase (Invitrogen, UK) follow the manufacturer’s protocol. Briefly, 100 pmole of oligo(dT) primer and 10 mM dNTPs were added into 500 ng of total RNA in 13 µl total reaction. After heating at 65°C for 5 min, 4 µl of 5× first-strand buffer, 2 µl of 0.1 M DTT were added and incubated the reaction initially at 42°C for 2 min. Then, 1 µl of reverse transcriptase enzyme were added and extended incubation at 42°C for 2 h. This reaction was then inactivated by heating at 70°C for 15 min.
Quantitative real-time PCR
The absolute qPCR assays were performed on Corbett Rotorgene 6000 QPCR system (Corbett life science, UK) using SYBR Green I detection kit (Stratagene, UK). The PCR condition for short targets (<300 bp) were as follows: one cycle of 10 min initial denaturation step at 95°C, 40 cycles of 30 s denaturation step at 95°C, 1 min annealing step at 55°C or 58°C (depends on probes, see the Electronic Supplementary Material Table S4) and 1 min extension step at 72°C. The melting curve was run from 55°C or 58°C to 90°C for checking a single band of a specific product. A standard curve was prepared with known DNA concentration of 60 ng/μl, 15 ng/μl, 1.5 ng/μl, 150 pg/μl and 15 pg/μl. The gene expression levels were interpreted by comparing the threshold cycles of samples to the linear standard curve. The acceptable standard curve should reach 90–110% reaction efficiency and 0.975 or greater of an amplification efficiency value based on the instruction manual of the machine. The absolute expression value of each folate-related gene was normalised to the expression level of the rice actin gene. At least three replicates were performed per sample. The expression values of each gene were statistically compared using SPSS version 14.0. A probability value of less than 5% was considered statistically significant.
Folates extraction from rice leaf and grain samples
Three replicates of rice grain (0.5 g) and of leaf samples (0.2 g) were homogenised using Retsch® MM301 ball mill equipment and mixed with 1 ml ice-cold 95% methanol/phosphate extraction buffer (75 mM KH2PO4, 0.4 M ascorbic acid, 0.8% 2-mercaptoethanol, pH 6.0) and 25 µl internal standard mixture consisting of 0.1 mg/ml of each of methotrexate, triglutamic acid and hexaglutamic acid (1:1:1 v/v) for 15 min. The sample extracts were centrifuged (15,000 g, 10 min, 4°C), and the supernatants were filtered through a 0.45 µm Whatman Vectaspin microfilter (15,000 g, 3 min, 4°C). They were evaporated to dryness under nitrogen gas and re-suspended in 200 µl of extraction buffer (75 mM KH2PO4, 52 mM ascorbic acid, 0.1% 2-mercaptoethanol, pH 6.0). Samples were kept at −80°C until used or maintained at 4°C in the HPLC autosampler before LC-MS/MS analysis.
LC-MS/MS measurement of folates
The LC-MS/MS method was based on a previously described method (Garratt et al., 2005). HPLC analysis was performed using Shimadzu VP series HPLC system (Milton Keynes, UK) using a Luna C18 (2) 100 Å analytical column (150 × 2.00 mm, 5.im particle size) and a compatible C1 8 guard column (Phenomenex,Macclesfield, UK). Mobile phase A consisted of methanol/water (5:95, v/v) with 5 mM dimethylhexylamine, pH 8.1 and mobile phase B was 5 mM dimethylhexylamine in methanol. A linear gradient from 22% B to 80% B over 20.5 min was followed by a 5-min isocratic hold at 80% B and re-equilibration for 12.5 min at 22% B. The flow rate was 200.iL/min, and the injection volume was 20.iL. The column was maintained at 35°C throughout the run.
A hybrid triple quadrupole ion trap mass spectrometer (4000 QTRAP) from Applied Biosystems (Foster City, CA, USA) was run using negative polarity. The TurboIonSpray source conditions were optimised for optimal ionisation of folates as follows: gas 1 and 2 at 20 and curtain gas at 40. The ion spray voltage was set at 4 kV, and the turbo probe was heated at 500°C. Declustering potential and collision energies for each folate standard were optimised for compound-dependent parameters using the quantitative optimisation wizard of the Analyst software (version 1.4.2).
Quantification of individual folate used three internal standards and extracted calibration standards for all the folate species and confirmation of folate structural identity was confirmed by comparison with an in-house folate spectral library. Significance of differences for the means of folate analytes, total folate concentration and percent distribution of folate derivatives in different samples and treatments were analysed by one way ANOVA using Tukey method.
PhD funding was supported by the Royal Thai Government for Nampeung Anukul and by the Ford Foundation International Fellowships Program, Institute of International Education for Riza Abilgos Ramos. We thank Dr. Chungui Lu and Nottingham Trent University for access to the real-time PCR machine and for practical suggestions. Part of the work was carried on the RicE FUnctional GEnomics international hosting platform (Montpellier, France) funded by Agropolis Foundation.
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