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A comprehensive survey of global gene expression in response to Pi deprivation was performed using an Arabidopsis thaliana whole genome Affymetrix (http://www.affymetrix.com/index.affx) gene chip (ATH1) to quantify the spatio-temporal variations in transcript abundance of 22,810 genes2. This analysis was corroborated by other techniques (RT-qPCR, northern blots, and production of transgenic plants) and revealed a coordinated induction and suppression of 612 and 254 Pi-responsive genes, respectively (more than a two-fold change). The functional classification of some of these genes indicated their involvement in various metabolic pathways, ion transport, signal transduction, transcriptional regulation, and other processes related to growth and development. Moreover, a time-course experiment permitted a global evaluation of genes that are regulated in response to short- (less than 12 hours), medium- (1 – 2 days), and long-term (10 days) Pi deprivation. In addition, leaf and root samples of the long-term experiment were analyzed separately to investigate specific spatial responses. |
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During short-term Pi deficiency, 72 genes were induced, whereas only four genes were suppressed. These numbers increased significantly (291 genes induced, 34 genes suppressed) during medium-term Pi starvation (Fig. 2). At these two time points, 16% of the induced genes had overlapping expression, whereas only one gene was suppressed. Furthermore, the induction (91 genes) or suppression (22 genes) of some genes was only transient. This pattern of gene expression indicates a very rapid but transient change occurring even during short periods of Pi deficiency. Modulation in the expression of the Pi-responsive genes correlated with a decline of soluble Pi content during the early stages of Pi deficiency treatments (Fig. 1A). Long-term Pi deprivation resulted in the differential regulation of 732 genes of which 501 were induced (228 in roots and 404 in leaves) and 231 were suppressed (74 in roots and 169 in leaves). Expression of 26.1% of the induced and 4.8% of the suppressed genes overlapped in both leaves and roots. Nevertheless, most of the genes were specific for either roots or leaves, suggesting that different plant organs respond to Pi deficiency by activating distinct sets of genes. Comparison of the microarray data from all three time points showed the common induction of 48 genes and suppression of only one gene. These results are in agreement with results from smaller microarrays with Arabidopsis, rice, and white lupin, showing similar patterns of gene expression2,7,8,9. The differential expression of Pi-responsive genes is considered an adaptive response by plants to Pi deficiency that facilitates acquisition of sparingly available Pi and concurrent attenuation of some of the energy-requiring metabolic pathways. Identification of differentially-expressed genes revealed the coordinated activation and repression of genes involved in many biochemical pathways that are closely associated with plant responses to Pi deficiency. In addition to genes affecting general metabolic functions, this study highlights the induction2 of those genes related to uptake and transport of Pi (PHT1 family genes and other Pi transporters are induced rapidly and in both tissues) and other inorganic ions (sulfate); and to the Pi salvage systems (phosphatase, RNAse). Detailed analysis of Pi responsive genes also revealed that about 7% (44 genes) are involved in lipid biosynthetic pathways (Fig. 3) and only two genes were suppressed2. About 50% of the lipid-related genes were induced within two days of Pi deprivation. Induced genes largely represent those coding for enzymes involved in phospholipid degradation and galactolipid and sulfolipid synthesis. Interestingly, only a few of the genes coding for phospholipases C and D were induced during Pi deficiency. These results suggest a role for these genes in the lipid metabolic pathway during Pi deficiency. Genes involved in the subsequent utilization of diacylglycerol (DAG) to synthesize mono- and digalactosyldiacylglycerol (MGDG and DGDG) galactolipids were strongly up-regulated at early stages of Pi deprivation, which is consistent with previous data7. Genes coding for MGDG synthases (MGD2 and MGD3) were induced 4 – 10 fold during short-term Pi deprivation, whereas expression of DGD1 and DGD2, coding for DGDG synthases, was enhanced during medium- and long-term Pi deficiency, respectively. Furthermore, DGD1 and DGD2 exhibited differential regulation in roots and leaves. Similarly, the genes encoding UDP glucose-4-epimerase and UDP galactose-4-epimerase, which convert UDP-glucose to UDP-galactose (galactolipid precursor), were induced during medium- and long-term Pi deficiency. This could facilitate the production of galactose required for galactolipid synthesis. |
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Comparatively, the genes coding for UDP-sulfoquinovose synthase and UDP-sulfoquinovosyl:DAG sulfoquinovosyltransferase exhibited early and sustained induction during Pi deficiency treatments. This was reflected by a four-fold increase in the level of sulfoquinovosyl diacylglycerol (SQDG) in P(-) leaves during long-term Pi deficiency (Fig. 3). Although SQDG is not considered essential for plant development, under Pi deficiency conditions it could possibly replace phosphatidylglycerol (PG) and may allow photosynthesis to continue despite a reduction in phospholipid content in the photosynthetic apparatus. These modulations of lipid biosynthetic pathways indicate a complex mechanism to replace membrane phospholipids with non-phosphorus galacto and sulfonyl lipids, which may have evolved to scavenge and conserve Pi in plants under Pi limiting conditions7. These results are in agreement with variations in phospholipid, sulfolipid, and glycosylglyceride content (ref. 2, Fig. 3). Alterations in lipid content became apparent within two days, whereby a decrease in PG and phosphatidylcholine (PC) was compensated by an increase of SQDG and DGDG. In leaves of plants grown in Pi-deficient medium, a reduction in levels of all phospholipids except diphosphatidylglycerol (DPG) was observed. Interestingly, in the P(-) roots, no significant difference was detected in any of the phospholipid species, including PC, but there was a substantial increase in the level of DGDG. This suggests that lipid composition is more sensitive to Pi deficiency in leaves than in roots, probably as a consequence of their high concentration in chloroplasts. Despite an early induction of MGD2 and MGD3, there was no significant increase in MGDG level, even during long-term Pi deficiency. This may be due to rapid conversion of MGDG into DGDG by DGD1 and DGD2, whose activities increased during long-term Pi deficiency. Furthermore, DGD1 and DGD2 exhibited differential regulation in roots and leaves. Microarray analysis revealed an early, sustained, and coordinated induction of a host of Pi-responsive genes involved in Pi acquisition, and conversion of organic phosphorus into available Pi. These experiments also indicate that Pi deprivation can be perceived at the molecular level as soon as Pi is withdrawn from the medium, or after some very short delay, suggesting that (i) the plant is able to sense a decrease of Pi concentration either in the medium or in cells, and (ii) some responses could be indirect. Moreover, among several members in gene families, specific expression was observed according to the duration of Pi starvation (hours, days) or the tissue (leaf, root). As developed in this paper, genes coding some of the isoenzymes involved in lipid metabolism are induced in plants grown in low Pi conditions. Genes coding phosphate transporters (PHT1 family), acid phosphatases, enzymes involved in the synthesis of anthocyanins, and flavonoids2 are differentially modulated by Pi starvation, suggesting specific roles for some family members. These genes could serve as potential candidates to decipher the components of Pi sensing mechanisms and to develop strategies to improve Pi efficiency in crops. Here we present a detailed analysis of the ‘integrated’ response of plants to Pi-starvation at the transcriptional level of the entire genome of Arabidopsis, correlated with biochemical processes. This analysis allowed a global view of the transcripts levels in low Pi conditions in plant metabolic pathways (www.arabidopsis.org/tools/aracyc) and in the regulation of gene expression2. The results not only enhance our knowledge about molecular processes associated with Pi deficiency but also facilitate the identification of key molecular determinants for improving Pi use by crop species. They provide a powerful background for investigating (i) Pi-signaling and signal transduction in plants exposed to Pi-depleted media, (ii) specificity of the response to Pi-starvation, and (iii) coordination between different levels of response. Acknowledgements This project was supported partly by a grant from CEA and PACA region and financial support of the various laboratories involved in this study.
References 1. Raghothama KG. (1999) Annu. Rev. Plant Physiol. Plant Mol. Biol. 50, 665-693 2. Misson J et al. (2005) PNAS 102, 11934-11939 3. Wu P et al. (2003) Plant Physiol. 132, 1260-1271 4. Hammond JP et al. (2003) Plant Physiol. 132, 578-596 5. Uhde-Stone C et al. (2003) Plant Physiol. 131, 1064-1079 6. Wasaki J et al. (2003) Plant Cell Environ. 26: 1515-1523 7. Benning C & Otha H. (2005) J. Biol. Chem. 280, 2397-2400 Marie Christine Thibaud and Laurent Nussaume
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