Comparative transcriptome analysis coupled to X-ray CT reveals sucrose supply and growth velocity as major determinants of potato tuber starch biosynthesis
© Ferreira et al; licensee BioMed Central Ltd. 2010
Received: 7 August 2009
Accepted: 5 February 2010
Published: 5 February 2010
Even though the process of potato tuber starch biosynthesis is well understood, mechanisms regulating biosynthesis are still unclear. Transcriptome analysis provides valuable information as to how genes are regulated. Therefore, this work aimed at investigating transcriptional regulation of starch biosynthetic genes in leaves and tubers of potato plants under various conditions. More specifically we looked at gene expression diurnally in leaves and tubers, during tuber induction and in tubers growing at different velocities. To determine velocity of potato tuber growth a new method based on X-ray Computed Tomography (X-ray CT) was established.
Comparative transcriptome analysis between leaves and tubers revealed striking similarities with the same genes being differentially expressed in both tissues. In tubers, oscillation of granule bound starch synthase (GBSS) expression) was observed which could be linked to sucrose supply from source leaves. X-ray CT was used to determine time-dependent changes in tuber volume and the growth velocity was calculated. Although there is not a linear correlation between growth velocity and expression of starch biosynthetic genes, there are significant differences between growing and non-growing tubers. Co-expression analysis was used to identify transcription factors positively correlating with starch biosynthetic genes possibly regulating starch biosynthesis.
Most starch biosynthetic enzymes are encoded by gene families. Co-expression analysis revealed that the same members of these gene families are co-regulated in leaves and tubers. This suggests that regulation of transitory and storage starch biosynthesis in leaves and tubers, respectively, is surprisingly similar. X-ray CT can be used to monitor growth and development of belowground organs and allows to link tuber growth to changes in gene expression. Comparative transcriptome analysis provides a useful tool to identify transcription factors possibly involved in the regulation of starch biosynthesis.
Starch is not only the most important carbohydrate source to the human diet, but has major industrial applications. It consists of two major fractions, amylose and amylopectin. Amylose is essentially a linear polymer of glucose units linked with alpha (1,4) bonds whilst amylopectin has a higher percentage of branched alpha (1,6) bonds. Due to its importance, crop plants producing starch in large quantities have been extensively researched. The fourth most important crop in the world in terms of total biomass produced is potato and this is due to its starchy tuber which can store up to 80% of its dry weight as starch .
In potato starch is either accumulated transiently in leaves or as storage starch in tubers. In leaves starch is synthesised in the chloroplast from triose-phosphates produced during photosynthesis. After several intermediate steps, glucose 6-phosphate is converted to glucose 1-phosphate by the enzyme phosphoglucomutase (PGM). Glucose 1-phosphate, along with ATP serves as substrate for ADP-glucose production by ADP-glucose pyrophosphorylase (AGPase), which is the first reaction committed to starch biosynthesis. ADP-glucose is then the glycosyl donor for the various starch synthases forming linear glucans which are subsequently branched by branching enzymes to produce starch.
For starch production in the tuber photoassimilates, in the form of sucrose, must first be imported from photoautotrophic tissue via the phloem . There is conflicting evidence to whether carbon accumulation is sink or source limited. It has been shown that under normal conditions flux control of tuber starch biosynthesis is mostly source regulated . In another study, reduced photosynthetic activity of potato leaves by silencing cytosolic fructose 1, 6 bisphosphatase did not have an effect on tuber yield or plant growth and it was concluded that tuber starch biosynthesis is not source limited . Both studies however emphasize the importance of sucrose supply to the tuber. This idea is further supported by constitutive  or phloem-specific  antisense inhibition of the sucrose transporter. Sucrose transport activity is essential for apoplastic phloem loading, hence, silencing its expression lead to a reduced phloem loading of sucrose which was accompanied by decreased photosynthetic rates and reduced tuber yield of transgenic potato plants. In another study , over-expression of a sucrose transporter from spinach in potato lead to a reduced sucrose level in leaves and an increased sucrose content of tubers. However, this had no effect on tuber starch content. Even though this did not lead to an increased starch content of tubers, it did provide evidence as to the important role of sucrose as regulator of carbon metabolism . Of particular note was the decrease in plastidial amino acid synthesis even though sucrose was still in abundant supply.
There is also conflicting evidence as to whether the supply rate of sucrose from the leaves to tubers is constant throughout the diurnal cycle or whether there is a diurnal rhythm. It has been shown that source to sink carbon flux is constant . It can also be argued that for starch biosynthesis in tubers to be unaffected by limitations in photosynthetic capacity , sucrose supply to the tuber should be constant. It has been shown that there are significant differences of tuber sucrose content at the start and end of the light period and that this has an effect on tuber metabolism .
List of genes involved in starch metabolism discussed in this paper.
Chlorophyll a/b binding
Ribulose 1,5 bisphosphate carboxylase oxygenase
Triose phosphate translocator 1
Glucose 6-phosphate translocator 1
Glucose 6-phosphate translocator 2
ATP/ADP translocator 1
ADP-glucose pyrophosphorylase large subunit
ADP-glucose pyrophosphorylase small subunit
Starch synthase II
Starch synthase III
Granule bound starch synthase
Starch synthase IV
Starch branching enzyme A
Starch branching enzyme B
Glucan, water dikinase
Disproportionating enzyme 1
Disproportionating enzyme 2
SEX4 phosphoglucan phosphatase
Cell wall invertase
Sucrose synthase 4
One of the major problems with potato tuber research is the fact that tuber growth and induction rates are not synchronised. Although tuber developmental stages are well defined , this does not mean that tubers in the same stage have similar growth- or biochemical characteristics. Adding to this, tubers are underground organs making in vivo analysis without damaging the plant almost impossible. To date no study has determined the in vivo growth velocity of individual tubers. X-ray computed tomography (X-ray CT) provides the opportunity to determine the velocity of tubers without physically damaging the plant. It has been used to study underground plant organs , but to date no study has determined tuber growth velocity using this method.
Even though the pathway of starch biosynthesis is well understood, mechanisms regulating biosynthesis are still unclear. Smith et al.  did an extensive study on transcriptional regulation of starch metabolism in Arabidopsis leaves over a 24 hour diurnal period. This study was very useful elucidating the regulating machinery of starch metabolism. The design of a custom microarray has made it possible to do similar types of analysis in potato. The POCI microarray was designed from the largest collection of ESTs from potato yet  and can be used to study all aspects of the potato transcriptome, which include starch biosynthesis. Due to the abundance of transcriptome data available, co-expression analysis has become a common method to identify new genes involved in specific metabolic pathways. The principle of the technique is that genes involved in similar processes would be expressed or inhibited at the same time point or under similar conditions. This would not only include structural genes, but possibly also regulatory genes like transcription factors. They are able to bind to specific sequences of various targets and thus have the ability to regulate entire metabolic pathways . Moreover, over-expression of two transcription factors in tomato led to the over-expression of the entire anthocyanin synthesis pathway, producing purple anthocyanin rich tomatoes . These results show that by manipulating transcription factors entire biosynthetic pathways can be influenced.
The aim of this work was to investigate the transcriptional regulation of starch biosynthesis in potato under various conditions. More specifically we looked at similarities between gene expression in leaves and tubers. Furthermore we established a new technique using X-ray computed tomography to determine tuber growth velocity in vivo and used it to analyse gene expression in tubers growing at different velocities. Finally comparative analysis of transcription profiles were used to identify transcription factors possibly regulating starch biosynthesis.
Results and discussion
Starch biosynthesis in potato leaves follow carbohydrate accumulation and show similarities to tuber starch biosynthesis
Most starch synthases and branching enzymes had a similar pattern to the above mentioned genes in figure 3A with the exception of GBSS which was highest expressed two hours into the light period (Figure 3B). Smith et al.  argue and provide evidence that since the enzyme is present within the granule, the protein is degraded together with starch at night and must very quickly be re-synthesised in the morning. Two genes involved in the light reaction of photosynthesis, plastocyanin and chlorophyll a/b binding protein, were already up-regulated at the first time point which was taken moments after the lights came on and were highest expressed two hours into the light. Ribulose 1,5 bisphosphate carboxylase oxygenase (Rubisco) had an expression pattern similar to that of starch biosynthetic genes (Figure 3C). The sucrose cleavage enzymes cell wall-bound invertase and sucrose synthase had very different expression patterns with Susy 4 being much stronger regulated. Susy 4 increased during the light and went down in the dark. Hexokinase 1 was not diurnally regulated, whilst hexokinase 2 and fructokinase had a similar pattern of increasing early in the morning and declining at the end of the light period (Figure 3D).
Diurnal oscillation of GBSS in potato tubers can be linked to differences in sucrose supply
It is known that starch biosynthetic genes are diurnally regulated by several factors, with sucrose and the circadian clock seemingly being the most important. Bläsing et al.  showed that between 30-50% of genes in Arabidopsis rosettes show diurnal changes in their transcripts and that this was especially true for genes involved in redox regulation, nutrient acquisition and assimilation, and starch and sucrose metabolism. Comparative analysis of nutrient feeding and diurnal transcription profiles indicate that sugars make a major contribution to diurnal regulation. Furthermore, Osuna et al.  analysed gene expression in carbon-deprived Arabidopsis seedlings after the addition of sucrose. Genes involved in central carbon metabolism, and more specifically starch biosynthesis, showed a response to sucrose and this did lead to an increase in starch content. A second major regulator of diurnal gene expression seems to be the circadian clock. Bläsing et al.  identified a subset of 373 genes known to be circadian regulated . The gene set was used in a principle component analysis which showed that sucrose and the circadian clock are the predominant factors in regulating diurnal gene expression and that light, nitrogen and water deficiency makes a smaller contribution. Starch degradation related genes also have a strong diurnal rhythm in Arabidopsis which was maintained under continuous light, but not continuous darkness .
As mentioned, sucrose and the circadian clock seem to be important regulators of diurnal gene expression and this is especially true for GBSS. Tenioro et al.  showed that GBSS is strongly regulated by the circadian clock and that expression is markedly lower in mutants lacking clock genes LHY and CCA-OX respectively. In a detailed study done on GBSS in snapdragon (Antirrhinum majus) it was shown that GBSS is diurnally regulated in leaves even under continuous light and it was concluded that the regulation is due to the circadian clock. This was not the case in snapdragon roots though, where expression was the same in the middle of the day and in the middle of the night . Also in rice leaves GBSS continues its diurnal cycling under continuous light suggesting circadian regulation, but expression can be induced by nitrogen starvation or sucrose feeding and repressed by darkness, indicating the importance of sucrose in its regulation . Moreover, sucrose floating experiments with potato leaves show that GBSS expression can be induced by sucrose .
To investigate whether oscillation of GBSS might be due to changes in sucrose supply from the source, sucrose content of stolon-ends attached to a tuber was measured. Phloem sucrose content is very high compared to those tissues surrounding it  and phloem signifies a large proportion of the total stolon tissue . This makes it possible to determine sucrose import to the tuber by measuring sucrose content of the stolon-end . Sucrose content differed significantly during the day and was highest at the end of the light and lowest at the end of the dark period. When plants were kept in constant darkness, sucrose content of stolon-ends declined linearly over time indicating that changes in sucrose supply from the leaves contributes to the oscillating expression of GBSS in tubers (Figure 8C).
Although GBSS expression in tubers can be linked to diurnal changes in sucrose supply from the source, caution should be exercised in the interpretation of the significance of this in terms of enzyme activity. As mentioned earlier, the level of GBSS protein does change substantially during the day in Arabidopsis leaves and the reason for this is probably the location of GBSS within the granule . This is also true for algae Chlamydomonas reinhardtii suspension cultures where GBSS expression and enzyme activity correlates with starch levels. The authors state that the correlation is probably due to the fact that the analysis was conducted in suspension cultures, where new cells are produced constantly leading to continuous production of new GBSS protein . This however is not necessarily true for GBSS in other tissues or for other enzymes of starch biosynthesis and several studies have shown that diurnal changes in expression do not lead to changes in protein levels [9, 42]. However, it still remains an interesting finding that GBSS expression in tubers follows a diurnal rhythm which declines when sucrose supply from the leaves are reduced.
Starch biosynthetic gene expression is influenced by tuber growth velocity
These data indicate that tubers that look visually similar have large differences in gene expression depending on their growth stage. Moreover, transcription profiles reveal many genes that are differentially expressed between growing and non-growing tubers which provide important information towards the identification of factors determining tuber growth. The entire microarray dataset for the tuber growth velocity experiment has been deposited on ArrayExpress (accession number E-MEXP-2484 Ferreira et al. tuber growth velocity).
Comparative analysis of transcription profiles reveals genes possibly regulating starch biosynthesis
Comparative transcriptome analysis between leaves and tubers indicate that transient and storage starch biosynthesis might not be all that different with the same isoforms being differentially expressed in both tissues. There was also a diurnal rhythm of GBSS expression in tubers which could be correlated to sucrose supply from the leaves. This provided evidence not only of the diurnal regulation of starch biosynthetic gene expression in tubers, but also showed the importance of sucrose supply in regulating gene expression in tubers.
Since tuber initiation and growth is not synchronised, it was important to determine the growth velocity of individual tubers. To this end X-ray CT was used to determine the volume of individual tubers at different time points and calculate the growth velocity. This was the first time that the growth velocities of tubers were determined in a natural environment. Tuber growth velocity could not be correlated to starch biosynthetic gene expression, although it was clear that gene expression is different between growing and non-growing tubers. The relationship between gene expression and growth velocity seems to be qualitative rather than quantitative and the data provides important information towards the identification of factors determining potato tuber growth.
Comparative analysis made it possible to select for genes differentially regulated under various conditions. Since the microarray experiments performed were set up to comprise conditions of active starch biosynthesis, it was believed that comparative analysis of transcription profiles would select for genes involved in this process. Cluster analysis of differentially expressed genes revealed clusters containing genes known to be involved in starch biosynthesis, and further analysis revealed transcription factors which could be used to influence starch biosynthesis. Closer analysis reveal that orthologs of these transcription factors in Arabidopsis are positively regulated by sucrose indicating that they could be interesting targets for influencing starch biosynthesis.
Plants and growth conditions
Solanum tuberosum (cv Solara) were propagated in tissue culture on MS medium  containing 2% sucrose. To obtain tubers, plants were transferred to soil and cultivated until harvest in individual pots in the greenhouse or growth chambers. For transcriptional analysis of potato leaves over a diurnal period, plants were grown in a growth chamber under a 14 hour light and 10 hour dark cycle. Plants for the tuber induction and X-ray CT studies were grown in the greenhouse under normal long day conditions. Plants used for analysing for the diurnal rhythm in tuber gene expression were grown in growth chambers under normal long day conditions.
RNA isolation, cRNA synthesis and Cy3-labeling
Isolation of total RNA was performed as described previously .
POCI array and database
The construction of the POCI array and database has been described in detail .
Sample preparation and microarray hybridization
For each hybridisation at least two biological replicates were included. For diurnal leaf time-points five different leaves from five plants were sampled for each biological replicate. For tuber induction samples stolon or tuber material from 40 plants were pooled into two groups according to the developmental stages. For the hybridization comparing fast and slow growing tubers, two independent samples were taken from each tuber and treated as biological replicates. RNA purity was measured by the ND-1000 Spectrophotometer (NanoDrop Technologies). To check for RNA degradation two μg of total RNA were separated on 1.5% formaldehyde containing agarose gel. Total RNA was purified using RNeasy Mini Spin Columns (QIAGEN, Valencia, CA). Afterwards RNA quality and quantity was tested using the Agilent 2100 BioAnalyzer (vB.02.03 BSI307) as recommended by manufacturer's protocol (Agilent RNA 6000 Nano Assay Protocol2). Synthesis of cDNA and cRNA was performed as described in the one-color microarray-based gene expression analysis protocol provided by Agilent including the one-color RNA spike-in kit (v5.0.1, 2006; Agilent Technologies, Santa Clara). After fragmentation Cy3-labelled samples were loaded on the array and hybridised over night (17h/65°C). Slides were washed as recommended in the manufacturer's protocol and scanned on the Agilent Microarray Scanner with extended dynamic range (XDR) at high resolution (5 μm). Data sets were extracted by using the feature extraction software (v22.214.171.124/Agilent Technologies) using a standard protocol.
Array data analysis
Data were imported into GeneSpring GX 7.3.1 (Silicon Genetics, Palo Alto, CA, USA) and additionally stored on a local server. A three step normalization was applied: (1) values less than five were set to five, (2) per chip normalization to 50th percentile and (3) subsequently the signal for each feature was normalised to the median of its value across the entire dataset. For comparative analysis of various transcription profiles, a volcano plot was applied to select for features more than two-fold differentially expressed between two conditions including the Benjamini-Hochberg multiple test correction for the four replicate experiment comparing slow and fast growing tubers. No multiple test correction was employed for the experiments comparing stolon and swollen stolon, and the diurnal leaf experiment, where only two replicates per data-point were used. Features commonly differentially expressed in all experiments were identified using a Venn diagram. K-means clustering was performed using Pearson correlation to split the selected features into five clusters from where features were chosen to conduct a functional assignment.
Starch and sucrose measurements
Sucrose and starch were measured according to a modified method of Müller-Röber et al . To determine sucrose supply rate to a tuber, sucrose content of stolon-ends was determined. A stolon-end is defined as the 15 millimetres of a stolon directly above the connection to the tuber.
For all qPCR analysis at least three biological repeats were used unless stated otherwise. Expression levels of genes were determined by real-time quantitative RT-PCR and the corresponding primers for the amplification of targets between 75 and 150 bp were designed using Primer3plus software . Total RNA (five μg) from each of the developmental time points was treated with DNaseI (Fermentas GmbH) before undergoing reverse transcription using oligo d(T) primers and RevertAid™ H minus first strand cDNA synthesis kit (Fermentas GmbH) to generate a first strand cDNA template. Potato ubiquitin primers were used as a control as described previously . One μl of 1:10 diluted cDNA for each time point were amplified with gene-specific primers in three technical replicates on a Mx3000P Q-PCR system (Stratagene) in combination with the Brilliant II SYBR Green Q-PCR Master Mix Kit (Stratagene). The thermal profile was as follows: 1 cycle 10 min at 95°C for DNA polymerase activation followed by 35 cycles of 10 s at 95°C, 15 s 60°C and 20 s 72°C. The primer sequences were as follows: ubi3 (L22576) forward primer, 5'-TTCCGACACCAT CGACAATGT-3'; reverse primer, 5'-CGACCATCCTCAAGCTGCTT-3'. For GBSS the primer sequence was based on POCI feature micro.920.c2. The forward primer was designated GBSS_920.c2 F (5' - CAGACTTGAGGAGCAGAAAGG - 3') and the reverse primer GBSS_920.c2 R (5' - GTGAGCCAAAGGGACATTGA - 3'). For GPT the primer sequence was based on POCI feature micro.1076.c1. The forward primer was designated GPT_1076.c1 F (5' -CCTTGTTTCCTGTTGCTGTG- 3') and the reverse primer GBSS_1076.c1 R (5' -AAAGCAGGCTCTCCACTCTT- 3'). For Susy the primer sequence was based on POCI feature micro.196.c8. The forward primer was designated Susy_196.c8 F (5' -CTGCTGTTTATGGGTTCTGG- 3') and the reverse primer Susy_196.c1 R (5' -GGCACACCTTCATTCACTCA- 3'). For NTT the primer sequence was based on POCI feature micro.1831.c2. The forward primer was designated NTT_1831.c2 F (5' -GAGCAGCAGCCAAGATAACAC- 3') and the reverse primer GBSS_1831.c2 R (5' -GTTCTGCATTGCACCCACA- 3'). Relative gene expression was calculated using the Pfaffl method .
Description of X-ray CT
With X-ray CT the 3D volume information of objects can be reconstructed using X-ray projections of the object from different aspects. The geometry used for the investigation was the axial 3D-CT, where a conical X-ray beam projects the object onto a flat 2D image detector. Using axial 3D-CT, projections of the object are taken under different viewing angles, rotating the object perpendicular to the central X-ray beam. The reconstructed volume data set consists of volumetric elements, called voxels, containing grey levels which represent information about the X-ray attenuation characteristics depending on the mass attenuation coefficient and the density distribution of the material [57, 58]. The mass attenuation coefficient itself is dependent on the applied X-ray spectrum and the effective atomic number of the X-rayed material. The calculation of tuber volumes of potted potato plants embedded in soil requires the segmentation of tubers from other materials in the X-ray CT volume data. Therefore a careful selection of exposure conditions is necessary to achieve sufficient data quality. This comprises X-ray parameters and filters as well as the condition of the soil. The parameters were defined as such: The X-ray source was FXE-225.45, accelerating voltage 200 kV, total emission 200 μA, the filter 1 mm Cu, detector Perkin Elmer, 1024 × 1024 pixel 200 μm, scan period 50 minutes and a resolution of 141 μm. After segmentation voxel elements, which have a known volume and specific grey level for tubers, were used to determine tuber volume by calculating how many voxels are present in a reconstructed tuber image. The lower and upper threshold grey values were set at 2938 and 3963 after which mistakes were corrected for manually. Tuber volume calculations were performed using Image J software http://rsbweb.nih.gov/ij.
The authors would like to acknowledge Christine Hösl for plant care. The work was funded by the BMBF in frame of the GABI-FUTURE program.
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