Global transcriptome analysis of AtPAP2 - overexpressing Arabidopsisthalianawith elevated ATP
- Feng Sun†1,
- Chao Liang†1,
- James Whelan2, 3,
- Jun Yang4,
- Peng Zhang4 and
- Boon Leong Lim1, 5Email author
© Sun et al.; licensee BioMed Central Ltd. 2013
Received: 16 April 2013
Accepted: 19 October 2013
Published: 1 November 2013
AtPAP2 is a purple acid phosphatase that is targeted to both chloroplasts and mitochondria. Over-expression (OE) lines of AtPAP2 grew faster, produced more seeds, and contained higher leaf sucrose and glucose contents. The present study aimed to determine how high energy status affects leaf and root transcriptomes.
ATP and ADP levels in the OE lines are 30-50% and 20-50% higher than in the wild-type (WT) plants. Global transcriptome analyses indicated that transcriptional regulation does play a role in sucrose and starch metabolism, nitrogen, potassium and iron uptake, amino acids and secondary metabolites metabolism when there is an ample supply of energy. While the transcript abundance of genes encoding protein components of photosystem I (PS I), photosystem II (PS II) and light harvesting complex I (LHCI) were unaltered, changes in transcript abundance for genes encoding proteins of LHCII are significant. The gene expressions of most enzymes of the Calvin cycle, glycolysis and the tricarboxylic acid (TCA) cycle were unaltered, as these enzymes are known to be regulated by light/redox status or allosteric modulation by the products (e.g. citrate, ATP/ADP ratio), but not at the level of transcription.
AtPAP2 overexpression resulted in a widespread reprogramming of the transcriptome in the transgenic plants, which is characterized by changes in the carbon, nitrogen, potassium, and iron metabolism. The fast-growing AtPAP2 OE lines provide an interesting tool for studying the regulation of energy system in plant.
Purple acid phosphatases (PAPs) catalyze the hydrolysis of phosphoric acid esters and anhydrides . In higher plants, PAPs are mostly related to the Pi response [2, 3]. The only PAP that has been shown to affect carbon metabolism is AtPAP2, which is targeted to both chloroplasts and mitochondria by an additional transmembrane motif at the C-terminus compared to other related proteins . PAPs with a transmembrane motif at their C-termini are conserved in green plants, including the smallest free-living photosynthetic eukaryote, Ostreococcus tauri. Transgenic Arabidopsis thaliana overexpressing AtPAP2 grew faster, produced more seeds and contained higher leaf sucrose content (up to 30%) . Transgenic Camelina sativa overexpressing AtPAP2 also grew faster and produced more seeds . The pleiotropic growth-promoting effect of AtPAP2 is dependent on its C-terminal dual-targeting sequence .
Chloroplasts and mitochondria are two key organelles involved in energy metabolism in plant cells and how AtPAP2 affects the biology of these two organelles and supplies more energy for growth remains unknown. To study the impact of AtPAP2 overexpression on the energy status of plants, the levels of ATP and ADP in the leaves of 20-day-old AtPAP2 OE Arabidopsis were measured and compared with those of WT plants. The transcriptomes of leaves and roots were also compared. AtPAP2 overexpression resulted in a widespread changes of the transcriptome in the transgenic plants, which may reflect the impact of changes in energy supply that feed back to alter transcriptional programmes.
AtPAP2 OE lines contain elevated levels of ATP
ATP/ADP contents in 20-day-old Arabidopsis thaliana leaves
ATP + ADP
LC-MS/MS (n = 3 ~ 4)
34.17 ± 5.79a
26.07 ± 0.79a
60.24 ± 6.44a
1.31 ± 0.19ab
32.14 ± 1.47a
28.72 ± 0.50a
60.86 ± 1.94a
1.12 ± 0.03a
47.87 ± 4.36b
32.03 ± 3.33a
79.90 ± 6.55b
1.50 ± 0.15b
53.98 ± 3.09b
40.73 ± 5.31b
94.71 ± 7.48b
1.34 ± 0.15ab
Bioluminescent assay (n = 5)
25.26 ± 3.88a
14.81 ± 2.12ab
40.07 ± 5.38a
1.71 ± 0.22a
21.47 ± 2.24a
13.10 ± 1.51a
34.57 ± 3.71a
1.64 ± 0.05a
32.72 ± 2.93b
20.07 ± 1.57c
52.79 ± 4.13b
1.63 ± 0.11a
32.73 ± 3.29b
17.71 ± 1.23bc
50.45 ± 4.04b
1.85 ± 0.16a
Identification of genes differentially expressed in the AtPAP2 OE plants
Energy-harvesting system in leaves
When the expression profiles of the energy-harvesting system in the source leaves were compared, transcript levels of genes encoding PS I core proteins, PS II core proteins, LHC I proteins were not significantly altered (FC ≥ ±1.5) (Additional file 8a). In contrast, transcript levels of several genes encoding LHCII proteins, including Lhcb 1.4 (AT2G34430, FC ≤ 0.47), Lhcb 2.2 (AT2G05070, FC ≤ 0.06), Lhcb 2.3 (AT3G27690, FC ≤ 0.66), Lhcb 4.2 (CP29, AT3G08940, FC ≤ 0.38) and Lhcb 6 (CP24, AT1G15820, FC ≤0.44), were decreased (FC ≤ 0.66) in the AtPAP2 OE lines. The transcript levels encoding other components in the electron flow chain, including cytochrome b6f complex, ferridoxin (Fd), plastocyanin (PC), NADPH dehydrogenase (NDH) complex, were mostly unaltered, except one of the two ferredoxin-NADP + reductases (FNR2,AT1G20020, FC ≤ 0.57), FdC2 (AT4G14890, FC ≤ 0.57)  and NdhO (AT1G74880, FC ≤ 0.66) , which was suppressed in the OE lines. Only two transcripts were upregulated in the OE lines, including PGR5-like B (PGRL1B, AT4G11960, FC ≥ 2.30), and cyt c6a (AT5G45040, FC ≥ 2.50) . All these changes reflected a reprogramming of energy harvest and electron transfer in the photosystems. Note that organelle-encoded genes are not poly-adenylated and therefore their cDNAs were not labeled in this study.
Redox regulated proteins in leaves and roots
In leaf, electrons excited by sunlight are the ultimate source of reducing equivalents in plants. Electron flow generated from the photosystems is used to reduce Fd, which in turn can be used for reduction of NADP to NADPH by FNR, for reduction of thiodoxins (Trx) by ferredoxin:thioredoxinreductase (FTR), for reduction of nitrite to ammonium by ferredoxin-nitrite reductase (NiR)  and for reduction of 2-oxoglutarate and glutamate to two glutamines by glutamate synthase (GOGAT). In the leaves and roots of the OE lines, there were no changes in the transcript abundance of four Fd genes, two FTR genes, nine Trx genes (Trx f1-2, m1-4, Trx x, Trx y1-2), or most enzymes regulated by Trx (GAPD1-3, SBPase, PRK, RCA, NADP-MDH) (Additional file 8b) . In leaf, but not in root, the transcripts of two electron carriers FNR2 and FdC2 which play roles in photosynthesis, were downregulated. Interestingly, the transcripts of NiR (AT2G15620, FC ≤ 0.63) was downregulated in the roots, whereas G6PD4 (AT1G09420) were downregulated specifically in both leaves (FC ≥ 4.38) and roots (FC ≥ 1.95), whereas the transcript of ATO1 (AT2G35010), a threodoxin in mitochondria, was upregulated in leaves (FC ≥ 1.55) but was downregualted in roots (FC ≤ 0.03), respectively.
Calvin cycle, starch and sucrose synthesis in leaves
Transcript abundance for the key enzyme of the Calvin cycle, a transketolase (AT2G45290, FC ≥ 1.97), was induced in the leaves of AtPAP2 OE lines. Upregulation of the transcript implied an activated Calvin cycle activity and possible enhanced output of carbon skeletons for sucrose synthesis in the cytosol. AtPAP2 OE lines exhibited increased leaf sucrose content, a higher expression level of SPS protein and a higher SPS activity in leaves . Among the four SPS genes in Arabidopsis, AtSPS2F (AT5G11110) exhibited a significant change in both leaves (FC ≥ 1.85) and roots (FC ≥ 1.73) of AtPAP2 OE lines (Additional files 8 and 9). Regarding sucrose cleavage enzymes that import sucrose in the sink tissues, two out of six sucrose synthases, SuSy1 (AT5G20830, FC ≥ 1.90) and SuSy3 (AT4G02280, FC ≥ 1.75) were upregulated in leaves, whereas transcripts of a gene for cell wall invertase (AT3G13790, FC ≤ 0.45) was significantly downregulated in the leaves of the OE lines (vs. WT). These results indicated an alteration of the gene expression pattern in sucrose metabolism. The transcript abundance of two key genes encoding enzymes in starch synthesis, plastid phosphoglucomutase (PGM, AT5G51820, FC ≤ 0.53) and ADP-glucose pyrophosphatase small subunit 2 (AT1G05610, FC ≥ 1.74) were altered in the leaves. In addition, the transcript abundance of three starch degradation enzymes: water dikinase (AT4G24450, FC ≥ 1.68), α-amylase 3 (AT1G69830, FC ≥ 3.0) and glucanphophorylase (AT3G29320, FC ≤ 0.60), were significantly changed. Taken together, AtPAP2 OE lines exhibited altered gene expression patterns for sucrose and starch metabolism.
Glycolysis, the TCA cycle and the electron transport chain in mitochondria
Except for the upregulation of a cytosolic pyruvate kinase (AT5G56350, FC ≥ 1.64) in leaves and a downregulation of a pyruvate kinase (AT3G49160, FC ≤ 0.55) in roots, the expression levels of all of the genes of cytosolic enzymes involved in glycolysis were unaltered in leaves and roots (Additional files 8e and 9d). Likewise, the expression levels of all genes in the TCA cycle, except for the upregulation of a citrate synthase (CS)-like gene (AT2G11270, FC ≥ 5.30 in leaves and FC ≥ 2.53 in roots), were unchanged in the leaves and roots of both AtPAP2 OE lines (Additional files 8f and 9e). Regarding the respiratory chain in mitochondria, only components of Complex I, but not components of Complexes II, III, IV, V, UBQ and cytochrome c oxidase (COX) biogenesis, were altered in both leaves and roots (Additional file 10).
Cell wall synthesis
Thirty percent or more of cellular carbohydrate metabolism is consumed by the synthesis of wall components and cell shape morphogenesis . Enhanced ATP production in source leaves of AtPAP2 OE lines could lead to a higher supply of sucrose for cell wall synthesis to support plant growth. AtPAP2 OE lines also exhibited significant changes in the expressions of genes encoding polygalacturonase, pectinesterase, cellulase and cellulose synthase (Additional files 8d and 9c). Transcripts from 87 genes (17.7%) in leaves (Additional file 1d) and 18 genes (3.5%) in roots (Additional file 2d) were altered, which correlated with a higher growth rate in leaves than in roots, arising from enhanced sucrose synthesis in leaves. Transcript of a gene encoding a protein similar to cellulose synthase (ATCSLA01, AT4G16590, FC ≥ 6.69) in the cellulose synthesis was induced up to 11-fold in the leaves of AtPAP2 OE lines. In addition, transcript levels of genes encoding expansin or expansin homologs (AT4G17030, FC < 0.35; AT1G69530, FC < 0.44; AT5G02260, FC < 0.59; AT2G20750, FC < 0.60; AT3G29365, FC < 0.62; AT1G20190, FC > 1.53; AT4G38400, FC > 1.91) and xyloglucan endotransglycosylase (AT4G25810, FC ≤ 0.33; AT4G14130, FC ≥ 2.50) were also significantly upregulated in abundance. These alterations reflected an active state for cell wall growth and reorganization in leaves.
Nitrogen and amino acid metabolism
Faster plant growth and higher seed yield requires greater supply of nitrogen or re-allocation of available nitrogen sources. Plants obtain nitrogen via ammonium or nitrate transporters in roots. Nitrate is reduced to ammonium by two biochemical steps, nitrate reduction and nitrite reduction. The expression of the only nitrite reductase gene, NiR (AT2G15620), was significantly downregulated in the leaves (FC ≤ 0.63), Nitrate transporters, including AtNRT1.1 (AT1G12110, FC ≤ 0.55 in the leaves) , AtNRT1.2 (AT1G69850, FC ≤ 0.62 in the leaves and FC ≤ 0.58 in the roots)  were downregulated in the leaves and roots of both OE lines. Interestingly, a high affinity ammonium transporter (AMT1;2, AT1G64780, FC ≥ 3.12), was significantly induced in leaves. The reduced Fd generated from photosynthesis activates NiR activity posttranslationally; therefore, its lower mRNA expression in the OE lines could result from negative feedback by higher specific activities. If the NiR activity is indeed higher in the OE lines, more ammonium, but less nitrate, will be transported to the leaves. This could result in the upregulation of ammonium transporters, but downregulation of nitrate transporters in the leaves.
Amino acids serve as precursors of metabolites or intermediates for the stress response . Noticeably, there was a clear tendency of repressed expression of genes associated with biosynthesis of the aspartate family amino acids (Asn, Asp, Lys, Met, Thr, Ile) in the roots of both OE lines. In the leaves, except for genes of enzymes involving in the biosynthesis of homoserine, genes for Pro, Cys, Ser and two genes for Met synthesis, were upregulated; all other genes involved in Trp and Lys synthesis, and Arg, Trp, and Ile degradation were downregulated.
The aromatic amino acids (AAA) metabolic pathway covers the synthesis of Trp, Phe and Tyr . Nearly all the genes involved in this pathway were downregulated in both leaves and roots, suggesting a decreased transcriptional expression activity in the AAA metabolic pathway. In addition, a cytosolic NADP+-isocitrate dehydrogenase (ICDH, AT1G65930, FC ≤ 0.43) responsible for 2-oxoglutarate production in amino acid synthesis  was also downregulated in leaves.
Potassium and iron uptake
The major potassium channel in leaves (AKT2/3) is positively regulated by a kinase (CIPK23) and negatively regulated by a phosphatase (AIP1) . Expression of CIPK23 (AT1G30270, FC ≥ 1.60) was significantly upregulated in the leaves of the OE lines (Additional file 8h). Regarding Fe uptake, one out of three Fe (II) transporters (IRT3, AT1G60960, FC ≥ 2.03) was significantly upregulated in leaves, and the expression of four out of eight ferric reductases including FRO1 (AT1G01590, FC ≥ 1.74; ), FRO4 (AT5G23980, FC ≥ 6.87), FRO3 (AT1G23020, FC ≤ 0.37) and FRO8 (AT5G50160, FC ≤ 0.60) changed significantly (Additional file 8i) whereas in the roots, transcripts of FRO3 (FC ≤ 0.62) and FRO8 (FC ≥ 1.57), were significantly altered in the roots (Additional file 9h).
Sixty-three out of 395 genes involved in secondary metabolism in leaves were affected (Additional file 1). These include genes involved in phenylpropanoid and flavonoid biosynthesis (i.e. PAL2, PAL3, CHS, UGT71D1, CYP706A4, CYP706A5, UF3GT, DFR, ATNIC1, CAD5) and genes involved in phenols, glucosinolates, wax, and isoprenoids synthesis and degradation.
Genes encoding transcription factors (TFs) constitute 5 to 7% of the Arabidopsis genes . The Arabidopsis genome encodes at least 1550 TFs, classified into more than 50 families . In this study, a larger amount of TFs were differentially expressed in the leaves (233 from 45 families) than in the roots (103 from 31 families) of AtPAP2 OE plants (Additional file 11). The number of upregulated TFs (6.3%) was higher than the number of downregulated TFs (3.7%) in the leaves; however, in roots, there were fewer upregulated genes (1.8%) than downregulated genes (2.5%) (Figure 2). In leaf, the transcriptional repressor NF-YA5, was up-regulated (AT1G54160, FC ≥ 1.74) at the transcriptional level. NF-YA5 could specifically bind to miR169, which targets mRNAs for cleavage or translational repression at multiple cellular processes . The mRNA of the transcriptional activators such as MYB58 (AT1G16490, FC ≥ 2.00) in the lignin biosynthetic pathway , a FLOWERING BHLH transcriptional activator (AT4G09180, FC ≥ 1.74) control expression of the photoperiodic flowering , were also found with increased transcripts abundance in the leaves. These repressors or activators might affect targeted gene expression to some extent at the transcriptional level.
Nucleus-encoded chloroplastic and mitochondrial proteins
As AtPAP2 is targeted to the chloroplasts and mitochondria, the transcripts of genes encoding proteins of the “Chloroplast” and “Mitochondria” categories of TAIR were examined. About 6.8% genes in the “Chloroplast” and 6.6% genes in the “Mitochondria” of leaves and 3.9% genes in the roots “Mitochondria” transcripts were significantly changed. Among ~1500 nucleus-encoded proteins identified in chloroplasts by proteomics studies , more transcripts were significantly changed in the leaves (91 or 6.1%) than in the roots (43 or 2.9%) (Additional file 12). Among ~650 nucleus-encoded proteins identified in mitochondria by proteomics studies [28, 29], again, more transcripts were significantly altered in leaves (37 or 5.7%) than in roots (10 or 1.5%) (Additional file 12).
Verification of candidate genes by real-time RT-PCR
To confirm the accuracy of the microarray data, real-time RT-PCR analysis was carried out on randomly selected genes from leaves. Candidate genes selected were: a C2 domain-containing protein (AT3G60950, FC ≥ 62.0), a member of the receptor kinase-like protein family (AT3G24660, FC ≥ 1.32), a phosphatidylinositol 3- and 4-kinase family protein (AT5G24240, FC ≥ 10.2), a tyrosine specific protein phosphatase family protein (AT1G05000, FC ≥ 1.53) and a protein kinase family protein (AT1G28390, FC ≥ 2.38). Gene expression values from real-time RT-PCR of the five genes were also compared to their values from the microarray data. The expression of each gene was consistent between the microarray and real-time RT-PCR results (Additional files 13 and 14).
Microarray data is highly correlated with the physiology of AtPAP2 OE lines
To examine the correlation between the microarray data and phenotypes, the levels of anthocyanin production in various lines were examined on sugar-treated MS plates. AtPAP2 T-DNA insertion line had accumulated more anthocyanin than WT. In contrast, AtPAP2 OE7 line showed remarkably less purple color under the same treatment (Additional files 15 and 16). Mannitol and sorbitol are reduced forms of glucose and are not efficiently metabolized by plants . Higher concentration of mannitol and sorbitol (8% and 9%; w/v) were added to the MS medium. These sugars also showed an anthocyanin background but there were few differences among the WT, AtPAP2 T-DNA line and AtPAP2 OE lines (Additional file 16). A semi-quantitative reverse transcription-PCR (RT-PCR) was employed to verify the transcriptional expression of genes involved in the pathway. In high sucrose (6%, w/v) MS medium, both WT and T-DNA lines exhibited strong induction of DFR and Production of anthocyanin pigment 1, (PAP1)  whereas, the AtPAP2 OE7 line showed only weak induction of these 2 key genes (Additional file 17). Hence, the microarray data highly correlates with the physiology of the OE lines.
Metabolomics analysis showed that AtPAP2 OE lines contained higher level of ATP (Table 1) and higher malate, citrate, fumarate and sucrose . The fast growth, high seed yield and high sucrose phenotypes imply that the energy harvesting system of the OE lines may be more efficient, as the cell sizes and cell densities of the OE lines did not differ significantly compared to WT (data not shown).
Generally, if there is a higher output of ATP from chloroplasts, the demand of ATP production in mitochondria would be less. The increase in organic acids in leaves is consistent with the changes observed in the transcriptome in this study. The transcript of the cytosolic ICDH (AT1G65930) was strongly suppressed in the leaves of OE lines, which could account for the high citrate content in the OE lines . Previous studies have shown that alterations of carboxylic acids can lead to alterations in photosynthesis and enhanced growth [36–38]. One mechanism shown to operate on altering organic acids is an effect on stomatal aperture, and increased growth by 25% . Furthermore the role of citrate and malate in signaling changes in the transcriptome has been recently elucidated , showing interactions with hormone biosynthetic pathways such as gibberellin biosynthesis. Thus, overall the changes observed appear to mimic a reduction in carbon flow through the TCA cycle, which leads to an increase in sucrose and photosynthesis. Furthermore the changes due to increased levels of citrate, interact with hormone, ion (Fe2+ and Ca2+) and biotic defense pathways .
TCA metabolites are the substrates of various biomolecules. The OE lines contain a lower level of aspartate family amino acids (Asn, Asp, Lys, Met, Thr) than the WT, which could be caused by a higher capacity for malate production in the chloroplast. If excess malate is produced at the expense of OAA, the sole precursor of Asp family amino acids, and leads to a lower level of precursors of these amino acids. All of the above correlates with the results of metabolites analysis .
The fast-growing phenotypes of the AtPAP2 OE lines are dependent on the targeting of AtPAP2 to chloroplasts and mitochondria. While there are significant changes in energy harvesting and conversion processes related to chloroplasts’ functions (photosystem, starch and sucrose metabolism), the expression of most genes involved in catabolism, including glycolysis, TCA cycle and mitochondria respiratory chain, are unaltered in the OE lines. Similarly, the activities of many enzymes in these pathways are regulated by the energy status (e.g. ATP/ADP ratio, citrate, etc.) through allosteric regulation. Our data indicated that transcriptional regulation is not a major control mechanism of these pathways in the current study. Higher levels of energy production in chloroplasts would also alleviate the need for oxidative phosphorylation in mitochondria, which might cause the downregulation of the gene expression of Complex I components (Additional file 10). It would be interesting to measure the activity of Complex I in the OE lines. Reduced activity of Complex I may lower the rate of consumption of carbon, allocating more carbon to be used for anabolism and growth.
Leaves and roots are the source and sink of sucrose and energy and thus their carbon flows are different. Since the leaves of OE lines produced more sucrose, the supply of sucrose to roots would be increased. The changes in transcription profiles in the roots of OE lines thus likely reflect the impacts of higher sucrose supply. Cell wall invertase (cwINV) is a sucrose-cleavage enzyme and is responsible for hydrolyzing apoplastic sucrose. As shown in Figure 5, the transcription of a cwINV gene (AT3G13790) was downregulated in leaves but the transcription of another cwINV gene (AT3G13784, FC > 1.57 in OE21) was upregulated in roots. Furthermore, the transcriptions of two sucrose synthase (SuSy) genes were upregulated in leaves but not in roots. SuSy is a sucrose-cleavage enzyme which supplies hexose skeletons for cell wall synthesis. Their differential expression may affect the growth rates of leaves and roots. It is also true for the differential expression of certain genes of the starch synthesis pathway. Nonetheless, an SPS gene (AtSPS2F, AT5G11110) and a citrate synthase - like gene (AT2G11270) were upregulated in both leaves and roots, while a phosphoglucomutase (AT5G51820) was downregulated in both tissues.
Overall, the transcriptomic responses to AtPAP2 overexpression were consistent with the growth phenotypes and metabolite analysis . A considerable amount of specific genes related to photosynthesis, sucrose metabolism, nitrogen metabolism and amino acid anabolism were significantly altered. A summary combining the transcriptome and metabolome for depicting the mechanisms responding to AtPAP2 overexpression is proposed (Figure 5). AtPAP2 overexpression may reprogram the photosystems and thus supply more ATP and carbon skeletons for sucrose and malate syntheses. The higher supply of malate causes the accumulation of organic acids, such as citrate and furmarate. The higher energy supply subsequently causes the alteration of many transcripts and metabolites.
This study reported the global changes in transcriptome of source (leaves) and sink (roots) tissues when there are plenty supply of energy and sucrose. Overexpression of AtPAP2 enhances ATP production and sucrose synthesis in leaves, which provide more carbon skeleton for the roots. There are more than 30,000 genes in the genome of Arabidopsis and many gene families contain multiple members with highly homologous sequences or redundant functions. Our results reported the genes that are subject to transcriptional regulation when the energy status of the plant is elevated. Many scientists have attempted to enhance plant growth and yield by altering starch, sucrose, chloroplast or mitochondrial metabolism [40–43]. Other attempts included manipulation of transcription factors and hormones . This study shows that alterations of other components feed into these pathways, and the identification of regulators or proteins that sense of mediate switches in metabolism offer an attractive avenue to increase biomass accumulation.
Plant materials and growth conditions
WT Arabidopsis thaliana ecotype Columbia (Col-0), an AtPAP2 T-DNA insertion mutant (Salk_013567) and two AtPAP2 OE lines (OE7 and OE21) were grown in soil under a 16-hr light (22°C)/8-hr dark (18°C) regime (long day, LD) at a light intensity of 120–150 μmol m-2 s-1.
Determination of ATP and ADP by LC-MS/MS and bioluminescent assay
To extract ATP and ADP, 100 mg of leaves, freshly collected from 20-day-old plants at the middle of day, were ground in liquid nitrogen. 500 μL of 2.3% (w/v) trichloracetic acid was then added to the sample and the mixture was incubated on ice for 10 min. After centrifugation for 30 min at 16,000 g at 4°C, the supernatant (500 μL) was transferred to an ice-cold Eppendoff tube and the pH was adjusted to 7.0 by addition of 2.5 M K2CO3. Measurments of ATP and ADP were carried out on a 3200 QTRAP LC-MS/MS System (AB Sciex, Foster City, USA) in negative mode . To verify the LC-MS/MS results, ATP Bioluminescent Assay Kit (Sigma, FL-AA) was adopted . The level of ATP was measured directly according to the kit’s protocol. To measure ADP, ADP was first converted into ATP by pyruvate kinase and ADP content = Total ATP after pyruvate kinase conversion – ATP before conversion. All data were analyzed by the statistical program SPSS Statistics 19.
Leaves and roots were collected at the middle of the day and ground in liquid nitrogen. The roots were harvested from soil of 20-day-old Arabidopsis at the middle of day, and to avoid any interference caused by stresses or others, the harvest time did not exceed 1 hour. Total RNA extraction was performed using an RNeasy Mini Kit (Qiagen, USA) and quantified by the Bioanalyzer 2100 (Agilent Technologies, USA). First strand cDNA was synthesized using an oligo dT primer and 10 μg total RNA. NimbleGen Systems, Inc. (USA) performed the double stranded DNA synthesis and Cy 3 labeling from three biological replicates.
Normalized expression values were generated using a standard quantile normalization matrix  and the robust multichip average (RMA) algorithm , resulting in a final data set of 30361 probe identifiers in the leaf and 37118 in the root. The signal-to-noise-ratio for each spot was greater than 2.6. ArrayStar 3.0 (DNASTAR, USA) was used to draw heatmaps. The log-transformed data were subsequently analyzed for differential expression of genes between AtPAP2 OE lines and WT using the paired Student’s t test . GO annotation was carried out with the GO terms of the TAIR database (http://www.Arabidopsis.org/tools/bulk/go/index.jsp) and the corresponding Arabidopsis gene locus identifiers were mapped to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (http://www.genome.jp/kegg/) using the KegArray tool (Version 1.2.1). The percent (%) of significantly changed genes in each TAIR annotated category was calculated as follows: percent = the number of significantly changed genes divided by N × 100, where N represents the total number of genes annotated in each ontology. Identified genes were subsequently mapped to the MapMan databases (http://www.gabipd.org/projects/MapMan/). The microarray data in this work are deposited at GEO (http://www.ncbi.nlm.nih.gov/geo/) with the accession number: GSE40307.
Quantitative real-time RT-PCR
Quantitative real-time RT-PCR analysis was carried out using cDNA samples transcribed from 20-day-old leaves of Arabidopsis. Primer3 Plus (http://www.bioinformatics.nl/cgi-bin/primer3plus/primer3plus.cgi) was used to design the real-time RT-PCR primers. The PCR reactions were performed in a 20 μL volume containing a 2 × SYBR Green Master Mix (ABI systems), 50 ng cDNA, and 0.4 μM of forward and reverse primers in an ABI CFX96 thermocycler. The amplification parameters were 95°C for 1 min; followed by 40–50 cycles of 95°C, 15 s and 61°C, 30 s. β-actin was used as the internal control. For every transcript, each cDNA sample was analyzed in triplicate, and relative transcript abundance was calculated by normalizing to the maximum level. The comparative Ct method was used to calculate the relative gene expression levels across the samples. The relative expression level of each gene in one sample (ΔCt) was calculated as follows: Ct target gene – Ct beta-actin. The relative expression of each gene in two different samples (ΔΔCt) was calculated as follows: ΔCt (sample 1) –ΔCt (sample 2). The primers used are shown in Additional file 13.
Sucrose treatment and anthocyanin measurement
Sucrose gradients from 0% to 15% (w/v) were employed to test the post-germination growth of Arabidopsis seedlings. Five–day-old seedlings grown on normal MS medium (2%, w/v, sucrose) were transferred to MS medium with different concentration of sucrose for 3 days. For mannitol and sorbitol (8% and 9%; w/v) treatments, these sugars were added to the MS medium with 1% (w/v) sucrose. Anthocyanin content of seedlings was determined spectroscopically as described . RT-PCR analysis was carried out according to Teng .
This project was supported by the Initiatives for Clean Energy and Environment (ICEE) of the University of Hong Kong, the General Research Fund (HKU772710M) and the Innovation and Technology Fund (ITS158/09 and Funding Support to Partner State Key Laboratories in Hong Kong) of the HKSAR, China.
- Schenk G, Guddat LW, Ge Y, Carrington LE, Hume DA, Hamilton S, de Jersey J: Identification of mammalian-like purple acid phosphatases in a wide range of plants. Gene. 2000, 250 (1–2): 117-125.View ArticlePubMedGoogle Scholar
- Lung SC, Leung A, Kuang R, Wang Y, Leung P, Lim BL: Phytase activity in tobacco (Nicotiana tabacum) root exudates is exhibited by a purple acid phosphatase. Phytochemistry. 2008, 69 (2): 365-373. 10.1016/j.phytochem.2007.06.036.View ArticlePubMedGoogle Scholar
- Kuang RB, Chan KH, Yeung E, Lim BL: Molecular and biochemical characterization of AtPAP15, a purple acid phosphatase with phytase activity, in Arabidopsis. Plant Physiol. 2009, 151 (1): 199-209. 10.1104/pp.109.143180.PubMed CentralView ArticlePubMedGoogle Scholar
- Sun F, Carrie C, Law S, Murcha MW, Zhang R, Law YS, Suen PK, Whelan J, Lim BL: AtPAP2 is a tail-anchored protein in the outer membrane of chloroplasts and mitochondria. Plant Signal Behav. 2012, 7 (8): 927-932. 10.4161/psb.20769.PubMed CentralView ArticlePubMedGoogle Scholar
- Derelle E, Ferraz C, Rombauts S, Rouze P, Worden AZ, Robbens S, Partensky F, Degroeve S, Echeynie S, Cooke R, et al: Genome analysis of the smallest free-living eukaryote Ostreococcus tauri unveils many unique features. Proc Natl Acad Sci. 2006, 103 (31): 11647-11652. 10.1073/pnas.0604795103.PubMed CentralView ArticlePubMedGoogle Scholar
- Sun F, Suen PK, Zhang Y, Liang C, Carrie C, Whelan J, Ward JL, Hawkins ND, Jiang L, Lim BL: A dual-targeted purple acid phosphatase in Arabidopsis thaliana moderates carbon metabolism and its overexpression leads to faster plant growth and higher seed yield. New Phytol. 2012, 194 (1): 206-219. 10.1111/j.1469-8137.2011.04026.x.View ArticlePubMedGoogle Scholar
- Zhang YJ, Yu L, Yung KF, Leung DYC, Sun F, Lim BL: Over-expression of AtPAP2 in Camelina sativa leads to faster plant growth and higher seed yield. Biotechnol Biofuels. 2012, 5: 19-10.1186/1754-6834-5-19.PubMed CentralView ArticlePubMedGoogle Scholar
- Meyer EH, Tomaz T, Carroll AJ, Estavillo G, Delannoy E, Tanz SK, Small ID, Pogson BJ, Millar AH: Remodeled respiration in ndufs4 with low phosphorylation efficiency suppresses Arabidopsis germination and growth and alters control of metabolism at night. Plant Physiol. 2009, 151 (2): 603-619. 10.1104/pp.109.141770.PubMed CentralView ArticlePubMedGoogle Scholar
- Thimm O, Blasing O, Gibon Y, Nagel A, Meyer S, Kruger P, Selbig J, Muller LA, Rhee SY, Stitt M: MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes. Plant J. 2004, 37 (6): 914-939. 10.1111/j.1365-313X.2004.02016.x.View ArticlePubMedGoogle Scholar
- Voss I, Goss T, Murozuka E, Altmann B, McLean KJ, Rigby SEJ, Munro AW, Scheibe R, Hase T, Hanke GT: FdC1, a novel ferredoxin protein capable of alternative electron partitioning, increases in conditions of acceptor limitation at Photosystem I. J Biol Chem. 2011, 286 (1): 50-59. 10.1074/jbc.M110.161562.PubMed CentralView ArticlePubMedGoogle Scholar
- Peng LW, Shikanai T: Supercomplex formation with photosystem I is required for the stabilization of the chloroplast NADH dehydrogenase-like complex in Arabidopsis. Plant Physiol. 2011, 155 (4): 1629-1639. 10.1104/pp.110.171264.PubMed CentralView ArticlePubMedGoogle Scholar
- Howe CJ, Schlarb-Ridley BG, Wastl J, Purton S, Bendall DS: The novel cytochrome c6 of chloroplasts: a case of evolutionary bricolage?. J Exp Bot. 2006, 57 (1): 13-22.View ArticlePubMedGoogle Scholar
- Kherraz K, Kameli A: Homology modeling of ferredoxin-nitrite reductase from Arabidopsis thaliana. Bioinformation. 2011, 6 (3): 115-119. 10.6026/97320630006115.PubMed CentralView ArticlePubMedGoogle Scholar
- Schurmann P, Buchanan BB: The ferredoxin/thioredoxin system of oxygenic photosynthesis. Antioxid Redox Signal. 2008, 10 (7): 1235-1273. 10.1089/ars.2007.1931.View ArticlePubMedGoogle Scholar
- Lou Y, Gou JY, Xue HW: PIP5K9, an Arabidopsis phosphatidylinositol monophosphate kinase, interacts with a cytosolic invertase to negatively regulate sugar-mediated root growth. Plant Cell. 2007, 19 (1): 163-181. 10.1105/tpc.106.045658.PubMed CentralView ArticlePubMedGoogle Scholar
- Liu KH, Tsay YF: Switching between the two action modes of the dual-affinity nitrate transporter CHL1 by phosphorylation. EMBO J. 2003, 22 (5): 1005-1013. 10.1093/emboj/cdg118.PubMed CentralView ArticlePubMedGoogle Scholar
- Huang NC, Liu KH, Lo HJ, Tsay YF: Cloning and functional characterization of an Arabidopsis nitrate transporter gene that encodes a constitutive component of low-affinity uptake. Plant Cell. 1999, 11 (8): 1381-1392.PubMed CentralView ArticlePubMedGoogle Scholar
- Yoshiba Y, Kiyosue T, Katagiri T, Ueda H, Mizoguchi T, Yamaguchishinozaki K, Wada K, Harada Y, Shinozaki K: Correlation between the induction of a gene for delta(1)-pyrroline-5-carboxylate synthetase and the accumulation of proline in Arabidopsis thaliana under osmotic stress. Plant J. 1995, 7 (5): 751-760. 10.1046/j.1365-313X.1995.07050751.x.View ArticlePubMedGoogle Scholar
- Tzin V, Galili G: The biosynthetic pathways for shikimate and aromatic amino acids in Arabidopsis thaliana. Arabidopsis Book. 2010, 8: e0132-PubMed CentralView ArticlePubMedGoogle Scholar
- Hodges M, Flesch V, Galvez S, Bismuth E: Higher plant NADP(+)-dependent isocitrate dehydrogenases, ammonium assimilation and NADPH production. Plant Physiol Biochem. 2003, 41 (6–7): 577-585.View ArticleGoogle Scholar
- Lee SC, Lan WZ, Kim BG, Li LG, Cheong YH, Pandey GK, Lu GH, Buchanan BB, Luan S: A protein phosphorylation/dephosphorylation network regulates a plant potassium channel. Proc Natl Acad Sci. 2007, 104 (40): 15959-15964. 10.1073/pnas.0707912104.PubMed CentralView ArticlePubMedGoogle Scholar
- Jiao YL, Yang HJ, Ma LG, Sun N, Yu HY, Liu T, Gao Y, Gu HY, Chen ZL, Wada M, et al: A genome-wide analysis of blue-light regulation of Arabidopsis transcription factor gene expression during seedling development. Plant Physiol. 2003, 133 (4): 1480-1493. 10.1104/pp.103.029439.PubMed CentralView ArticlePubMedGoogle Scholar
- Riano-Pachon DM, Ruzicic S, Dreyer I, Mueller-Roeber B: PlnTFDB: an integrative plant transcription factor database. BMC Bioinforma. 2007, 8: 42-10.1186/1471-2105-8-42.View ArticleGoogle Scholar
- Li WX, Oono Y, Zhu JH, He XJ, Wu JM, Iida K, Lu XY, Cui XP, Jin HL, Zhu JK: The Arabidopsis NFYA5 transcription factor is regulated transcriptionally and posttranscriptionally to promote drought resistance. Plant Cell. 2008, 20 (8): 2238-2251. 10.1105/tpc.108.059444.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhou JL, Lee CH, Zhong RQ, Ye ZH: MYB58 and MYB63 are transcriptional activators of the lignin biosynthetic pathway during secondary cell wall formation in Arabidopsis. Plant Cell. 2009, 21 (1): 248-266. 10.1105/tpc.108.063321.PubMed CentralView ArticlePubMedGoogle Scholar
- Ito S, Song YH, Josephson-Day AR, Miller RJ, Breton G, Olmstead RG, Imaizumi T: FLOWERING BHLH transcriptional activators control expression of the photoperiodic flowering regulator CONSTANS in Arabidopsis. Proc Natl Acad Sci. 2012, 109 (9): 3582-3587. 10.1073/pnas.1118876109.PubMed CentralView ArticlePubMedGoogle Scholar
- Kleffmann T, Russenberger D, von Zychlinski A, Christopher W, Sjolander K, Gruissem W, Baginsky S: The Arabidopsis thaliana chloroplast proteome reveals pathway abundance and novel protein functions. Curr Biol. 2004, 14 (5): 354-362. 10.1016/j.cub.2004.02.039.View ArticlePubMedGoogle Scholar
- Duncan O, Taylor NL, Carrie C, Eubel H, Kubiszewski-Jakubiak S, Zhang BT, Narsai R, Millar AH, Whelan J: Multiple lines of evidence localize signaling, morphology, and lipid biosynthesis machinery to the mitochondrial outer membrane of Arabidopsis. Plant Physiol. 2011, 157 (3): 1093-1113. 10.1104/pp.111.183160.PubMed CentralView ArticlePubMedGoogle Scholar
- Heazlewood JL, Tonti-Filippini JS, Gout AM, Day DA, Whelan J, Millar AH: Experimental analysis of the Arabidopsis mitochondrial proteome highlights signaling and regulatory components, provides assessment of targeting prediction programs, and indicates plant-specific mitochondrial proteins. Plant Cell. 2004, 16 (1): 241-256. 10.1105/tpc.016055.PubMed CentralView ArticlePubMedGoogle Scholar
- Solfanelli C, Poggi A, Loreti E, Alpi A, Perata P: Sucrose-specific induction of the anthocyanin biosynthetic pathway in Arabidopsis. Plant Physiol. 2006, 140 (2): 637-646. 10.1104/pp.105.072579.PubMed CentralView ArticlePubMedGoogle Scholar
- Fey V, Wagner R, Brautigam K, Wirtz M, Hell R, Dietzmann A, Leister D, Oelmuller R, Pfannschmidt T: Retrograde plastid redox signals in the expression of nuclear genes for chloroplast proteins of Arabidopsis thaliana. J Biol Chem. 2005, 280 (17): 17572-Google Scholar
- Nott A, Jung HS, Koussevitzky S, Chory J: Plastid-to-nucleus retrograde signaling. Annu Rev Plant Biol. 2006, 57: 739-759. 10.1146/annurev.arplant.57.032905.105310.View ArticlePubMedGoogle Scholar
- Jang JC, Sheen J: Sugar sensing in higher plants. Trends Plant Sci. 1997, 2 (6): 208-214. 10.1016/S1360-1385(97)89545-3.View ArticleGoogle Scholar
- DalCorso G, Pesaresi P, Masiero S, Aseeva E, Schunemann D, Finazzi G, Joliot P, Barbato R, Leister D: A complex containing PGRL1 and PGR5 is involved in the switch between linear and cyclic electron flow in Arabidopsis. Cell. 2008, 132 (2): 273-285. 10.1016/j.cell.2007.12.028.View ArticlePubMedGoogle Scholar
- Sulpice R, Sienkiewicz-Porzucek A, Osorio S, Krahnert I, Stitt M, Fernie AR, Nunes-Nesi A: Mild reductions in cytosolic NADP-dependent isocitrate dehydrogenase activity result in lower amino acid contents and pigmentation without impacting growth. Amino Acids. 2010, 39 (4): 1055-1066. 10.1007/s00726-010-0617-0.PubMed CentralView ArticlePubMedGoogle Scholar
- Araujo WL, Nunes-Nesi A, Nikoloski Z, Sweetlove LJ, Fernie AR: Metabolic control and regulation of the tricarboxylic acid cycle in photosynthetic and heterotrophic plant tissues. Plant Cell and Environ. 2012, 35: 1-21. 10.1111/j.1365-3040.2011.02332.x.View ArticleGoogle Scholar
- Carrari F, Nunes-Nesi A, Gibon Y, Lytovchenko A, Loureiro ME, Fernie AR: Reduced expression of aconitase results in an enhanced rate of photosynthesis and marked shifts in carbon partitioning in illuminated leaves of wild species tomato. Plant Physiol. 2003, 133: 1322-1335. 10.1104/pp.103.026716.PubMed CentralView ArticlePubMedGoogle Scholar
- Morgan MJ, Osorio S, Gehl B, Baxter CJ, Kruger NJ, Ratcliffe RG, Fernie AR, Sweetlove LJ: Metabolic engineering of tomato fruit organic acid content guided by biochemical analysis of an introgression line. Plant Physiol. 2013, 161: 397-407. 10.1104/pp.112.209619.PubMed CentralView ArticlePubMedGoogle Scholar
- Finkemeier I, Konig AC, Heard W, Nunes-Nesi A, Pham PA, Leister D, Fernie AR, Sweetlove LJ: Transcriptomic analysis of the role of carboxylic acids in metabolite signaling in Arabidopsis leaves. Plant Physiol. 2013, 162: 239-253. 10.1104/pp.113.214114.PubMed CentralView ArticlePubMedGoogle Scholar
- Nunes-Nesi A, Carrari F, Lytovchenko A, Smith AMO, Loureiro ME, Ratcliffe RG, Sweetlove LJ, Fernie AR: Enhanced photosynthetic performance and growth as a consequence of decreasing mitochondrial malate dehydrogenase activity in transgenic tomato plants. Plant Physiol. 2005, 137 (2): 611-622. 10.1104/pp.104.055566.PubMed CentralView ArticlePubMedGoogle Scholar
- Araujo WL, Nunes-Nesi A, Osorio S, Usadel B, Fuentes D, Nagy R, Balbo I, Lehmann M, Studart-Witkowski C, Tohge T, et al: Antisense inhibition of the iron-sulphur subunit of succinate dehydrogenase enhances photosynthesis and growth in tomato via an organic acid-mediated effect on stomatal aperture. Plant Cell. 2011, 23 (2): 600-627. 10.1105/tpc.110.081224.PubMed CentralView ArticlePubMedGoogle Scholar
- Baxter CJ, Foyer CH, Turner J, Rolfe SA, Quick WP: Elevated sucrose-phosphate synthase activity in transgenic tobacco sustains photosynthesis in older leaves and alters development. J Exp Bot. 2003, 54 (389): 1813-1820. 10.1093/jxb/erg196.View ArticlePubMedGoogle Scholar
- Sonnewald U, Hajirezaei MR, Kossmann J, Heyer A, Trethewey RN, Willmitzer L: Increased potato tuber size resulting from apoplastic expression of a yeast invertase. Nat Biotechnol. 1997, 15 (8): 794-797. 10.1038/nbt0897-794.View ArticlePubMedGoogle Scholar
- Gonzalez N, Beemster GTS, Inze D: David and Goliath: what can the tiny weed Arabidopsis teach us to improve biomass production in crops?. Curr Opin Plant Biol. 2009, 12 (2): 157-164. 10.1016/j.pbi.2008.11.003.View ArticlePubMedGoogle Scholar
- Luo B, Groenke K, Takors R, Wandrey C, Oldiges M: Simultaneous determination of multiple intracellular metabolites in glycolysis, pentose phosphate pathway and tricarboxylic acid cycle by liquid chromatography-mass spectrometry. J Chromatogr A. 2007, 1147 (2): 153-164. 10.1016/j.chroma.2007.02.034.View ArticlePubMedGoogle Scholar
- Ford SR, Leach FR: Bioluminescent assay of the adenylate energy charge. Methods Mol Biol. 1998, 102: 69-81.PubMedGoogle Scholar
- Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003, 19 (2): 185-193. 10.1093/bioinformatics/19.2.185.View ArticlePubMedGoogle Scholar
- Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP: Summaries of affymetrix GeneChip probe level data. Nucleic Acids Res. 2003, 31 (4): e15-10.1093/nar/gng015.PubMed CentralView ArticlePubMedGoogle Scholar
- Benjamini Y, Hochberg Y: Controlling the false discovery rate - a practical and powerful approach to multiple testing. J R Stat Soc Series B. 1995, 57 (1): 289-300.Google Scholar
- Mita S, Murano N, Akaike M, Nakamura K: Mutants of Arabidopsis thaliana with pleiotropic effects on the expression of the gene for beta-amylase and on the accumulation of anthocyanin that are inducible by sugars. Plant J. 1997, 11 (4): 841-851. 10.1046/j.1365-313X.1997.11040841.x.View ArticlePubMedGoogle Scholar
- Teng S, Keurentjes J, Bentsink L, Koornneef M, Smeekens S: Sucrose-specific induction of anthocyanin biosynthesis in Arabidopsis requires the MYB75/PAP1 gene. Plant Physiol. 2005, 139 (4): 1840-1852. 10.1104/pp.105.066688.PubMed CentralView ArticlePubMedGoogle Scholar
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