Differential remodeling of the lipidome during cold acclimation in natural accessions of Arabidopsis thaliana

Transcriptional Analysis of Resistance to Low Temperatures in Bermudagrass Crown Tissues

Bermudagrass (Cynodon dactylon L pers.) is one of the most geographically adapted and utilized of the warm-season grasses. However, bermudagrass adaptation to the Northern USA is limited by freeze damage and winterkill. Our study provides the first large-scale analyses of gene expression in bermudagrass regenerative crown tissues during cold acclimation. We compared gene expression patterns in crown tissues from highly cold tolerant "MSU" and susceptible "Zebra" genotypes exposed to near-freezing temperatures. Suppressive subtractive hybridization was used to isolate putative cold responsive genes Approximately, 3845 transcript sequences enriched for cold acclimation were deposited in the GenBank. A total of 4589 ESTs (3184 unigenes) including 744 ESTs associated with the bermudagrass disease spring dead spot were printed on microarrays and hybridized with cold acclimated complementary Deoxyribonucleic acid (cDNA). A total of 587 differentially expressed unigenes were identified in this study. Of these only 97 (17%) showed significant NCBI matches. The overall expression pattern revealed 40% more down- than up-regulated genes, which was particularly enhanced in MSU compared to Zebra. Among the up-regulated genes 68% were uniquely expressed in MSU (36%) or Zebra (32%). Among the down-regulated genes 40% were unique to MSU, while only 15% to Zebra. Overall expression intensity was significantly higher in MSU than in Zebra (p value ≤ 0.001) and the overall number of genes expressed at 28 days was 2.7 fold greater than at 2 days. These changes in expression patterns reflect the strong genotypic and temporal response to cold temperatures. Additionally, differentially expressed genes from this study can be utilized for developing molecular markers in bermudagrass and other warm season grasses for enhancing cold hardiness.

Natural variation in flavonol and anthocyanin metabolism during cold acclimation in Arabidopsis thaliana accessions

In plants from temperate climates such as Arabidopsis thaliana, low, non-freezing temperatures lead to increased freezing tolerance in a process termed cold acclimation. During cold acclimation, massive changes in gene expression and in the content of primary metabolites and lipids have been observed. Here, we have analysed the influence of cold acclimation on flavonol and anthocyanin content and on the expression of genes related to flavonoid metabolism in 54 Arabidopsis accessions covering a wide range of freezing tolerance. Most flavonols and anthocyanins accumulated upon cold exposure, but the extent of accumulation varied strongly among the accessions. This was also true for most of the investigated transcripts. Correlation analyses revealed a high degree of coordination among metabolites and among transcripts, but only little correlation between metabolites and transcripts, indicating an important role of post-transcriptional regulation in flavonoid metabolism. Similarly, levels of many flavonoid biosynthesis genes were correlated with freezing tolerance after cold acclimation, but only the pool sizes of a few flavonols and anthocyanins. Collectively, our data provide evidence for an important role of flavonoid metabolism in Arabidopsis freezing tolerance and point to the importance of post-transcriptional mechanisms in the regulation of flavonoid metabolism in response to cold.

Time-dependent deacclimation after cold acclimation in Arabidopsis thaliana accessions

During low temperature exposure, Arabidopsis thaliana and many other plants from temperate climates increase in freezing tolerance in a process termed cold acclimation. However, the correct timing and rate of deacclimation, resulting in loss of freezing tolerance and initiation of growth is equally important for plant fitness and survival. While the molecular basis of cold acclimation has been investigated in detail, much less information is available about deacclimation. We have characterized the responses of 10 natural accessions of Arabidopsis thaliana that vary widely in their freezing tolerance, to deacclimation conditions. Sugar, proline and transcript levels declined sharply over three days in all accessions after transfer of cold acclimated plants to ambient temperatures, while freezing tolerance only declined in tolerant accessions. Correlations between freezing tolerance and the expression levels of COR genes and the content of glucose, fructose and sucrose, as well as many correlations among transcript and solute levels, that were highly significant in cold acclimated plants, were lost during deacclimation. Other correlations persisted, indicating that after three days of deacclimation, plant metabolism had not completely reverted back to the non-acclimated state. These data provide the basis for further molecular and genetic studies to unravel the regulation of deacclimation.

Landscape of the lipidome and transcriptome under heat stress in Arabidopsis thaliana

Environmental stress causes membrane damage in plants. Lipid studies are required to understand the adaptation of plants to climate change. Here, LC-MS-based lipidomic and microarray transcriptome analyses were carried out to elucidate the effect of short-term heat stress on the Arabidopsis thaliana leaf membrane. Vegetative plants were subjected to high temperatures for one day, and then grown under normal conditions. Sixty-six detected glycerolipid species were classified according to patterns of compositional change by Spearman’s correlation coefficient. Triacylglycerols, 36:4- and 36:5-monogalactosyldiacylglycerol, 34:2- and 36:2-digalactosyldiacylglycerol, 34:1-, 36:1- and 36:6-phosphatidylcholine, and 34:1-phosphatidylethanolamine increased by the stress and immediately decreased during recovery. The relative amount of one triacylglycerol species (54:9) containing α-linolenic acid (18:3) increased under heat stress. These results suggest that heat stress in Arabidopsis leaves induces an increase in triacylglycerol levels, which functions as an intermediate of lipid turnover, and results in a decrease in membrane polyunsaturated fatty acids. Microarray data revealed candidate genes responsible for the observed metabolic changes.

Acquisition of freezing tolerance in Arabidopsis and two contrasting ecotypes of the extremophile Eutrema salsugineum (Thellungiella salsuginea)

Eutrema salsugineum (Thellungiella salsuginea) is an extremophile, a close relative of Arabidopsis, but possessing much higher constitutive levels of tolerance to abiotic stress. This study aimed to characterize the freezing tolerance of Arabidopsis (Columbia ecotype) and two ecotypes of Eutrema (Yukon and Shandong) isolated from contrasting geographical locations. Under our growth conditions, maximal freezing tolerance was observed after two- and three-weeks of cold acclimation for Arabidopsis and Eutrema, respectively. The ecotypes of Eutrema and Arabidopsis do not differ in their constitutive level of freezing tolerance or short-term cold acclimation capacity. However Eutrema remarkably outperforms Arabidopsis in long-term acclimation capacity suggesting a wider phenotypic plasticity for the trait of freezing tolerance. The combination of drought treatment and one-week of cold acclimation was more effective than long-term cold acclimation in achieving maximum levels of freezing tolerance in Eutrema, but not Arabidopsis. Furthermore, it was demonstrated growth conditions, particularly irradiance, are determinates of the level of freezing tolerance attained during cold acclimation suggesting a role for photosynthetic processes in adaptive stress responses.

The transcription factor PHR1 regulates lipid remodeling and triacylglycerol accumulation in Arabidopsis thaliana during phosphorus starvation

Lipid remodeling is one of the most dramatic metabolic responses to phosphorus (P) starvation. It consists of the degradation of phospholipids to release the phosphate needed by the cell and the accumulation of glycolipids to replace phospholipids in the membranes. It is shown that PHR1, a well-described transcriptional regulator of P starvation of the MYB family, largely controls this response. Glycerolipid composition and the expression of most lipid-remodeling gene transcripts analysed were altered in the phr1 mutant under phosphate starvation in comparison to wild-type plants. In addition to these results, the lipidomic characterization of wild-type plants showed two novel features of the lipid response to P starvation for Arabidopsis. Triacylglycerol (TAG) accumulates dramatically under P starvation (by as much as ~20-fold in shoots and ~13-fold in roots), a response known to occur in green algae but hardly known in plants. Surprisingly, there was an increase in phosphatidylglycerol (PG) in P-starved roots, a response that may be adaptive as it was suppressed in the phr1 mutant.

Plant cold acclimation and freezing tolerance

This introductory chapter provides a brief overview of plant freezing tolerance and cold acclimation and describes the basic concepts and approaches that are currently followed to investigate these phenomena. We highlight the multidisciplinary nature of these investigations and the necessity to use methodologies from different branches of science, such as ecology, genetics, physiology, biochemistry, and biophysics, to come to a complete understanding of the complex adaptive mechanisms underlying plant cold acclimation.

Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry

Liquid chromatography-mass spectrometry (LC-MS)-based lipidomics has been a subject of dramatic developments over the past decade. This review focuses on state of the art in LC-MS-based lipidomics, covering all the steps of global lipidomic profiling. On the basis of review of 185 original papers and application notes, we can conclude that typical LC-MS-based lipidomics methods involve: (1) extraction using chloroform/MeOH or MTBE/MeOH protocols, both with addition of internal standards covering each lipid class; (2) separation of lipids using short microbore columns with sub-2-μm or 2.6-2.8-μm (fused-core) particle size with C18 or C8 sorbent with analysis time <30 min; (3) electrospray ionization in positive- and negative-ion modes with full spectra acquisition using high-resolution MS with capability to MS/MS. Phospholipids (phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, phosphatidylserines, phosphatidylglycerols) followed by sphingomyelins, di- and tri-acylglycerols, and ceramides were the most frequently targeted lipid species.

Transcriptome characterization and differential expression analysis of cold-responsive genes in young spikes of common wheat

With the frequent occurrence of climatic anomalies, spring frost has become a significant limiting factor on wheat production, especially during the reproductive growth stage. A high-throughput sequencing technology was applied and a total of 54 million clean reads that corresponded to 7.44 Gb of total nucleotides were generated. These reads were then de novo assembled into 120,715 unigenes with an average length of 627 bp. Functional annotations were then obtained by aligning all unigenes with public protein databases. In total, 9657 potential EST-SSRs were identified, and 6310 primer pairs for 1329 SSRs were obtained. Meanwhile, a comparison of four tag-based digital gene expression libraries, which was built from the control and cold-treated young spikes were performed. Overall, 526 up-regulated and 489 down-regulated genes were identified, and GO and KEGG pathway analyses of those genes were further conducted. Based on these results, a series of candidate genes involved in cold response pathways were identified, and 12 of them were confirmed by qRT-PCR. The combination of RNA-Seq and digital gene expression analysis in this study provides a powerful approach for investigating the transcriptional changes and obtained a large number of unigenes annotated to public databases.

A plasma membrane-tethered transcription factor, NAC062/ANAC062/NTL6, mediates the unfolded protein response in Arabidopsis

The accumulation of unfolded or misfolded proteins in the endoplasmic reticulum (ER) triggers a well conserved pathway called the unfolded protein response (UPR) in eukaryotic cells to mitigate ER stress. Two signaling pathways, S2P-bZIP28 and IRE1-bZIP60, play important roles in transmitting ER stress signals from the ER to the nucleus in Arabidopsis (Arabidopsis thaliana). It is not known whether other components in the secretory pathway also contribute to the alleviation of ER stress. Here we report the identification of a plasma membrane-associated transcription factor, NAC062 (also known as ANAC062/NTL6), as another important UPR mediator in Arabidopsis plants. NAC062 relocates from the plasma membrane to the nucleus and regulates the expression of ER stress responsive genes in Arabidopsis. Knock-down of NAC062 in the wild-type background confers ER stress sensitivity, while inducible expression of a nucleus-localized form of NAC062, NAC062D, in the bZIP28 and bZIP60 double mutant (zip28zip60) background increases ER stress tolerance. Knock-down of NAC062 impairs ER-stress-induced expression of UPR downstream genes while over-expression of NAC062D-MYC induces the expression of UPR downstream genes under normal growth condition. CHIP-qPCR reveals that NAC062D-MYC is enriched at the promoter regions of several UPR downstream genes such as BiP2. Furthermore, NAC062 itself is also up-regulated by ER stress, which is dependent on bZIP60 but not on bZIP28. Thus, our results have uncovered an alternative UPR pathway in plants in which the membrane-associated transcription factor NAC062 relays ER stress signaling from the plasma membrane to the nucleus and plays important roles in regulating UPR downstream gene expression.

Roles of lipids as signaling molecules and mitigators during stress response in plants

Lipids are the major constituents of biological membranes that can sense extracellular conditions. Lipid-mediated signaling occurs in response to various environmental stresses, such as temperature change, salinity, drought and pathogen attack. Lysophospholipid, fatty acid, phosphatidic acid, diacylglycerol, inositol phosphate, oxylipins, sphingolipid, and N-acylethanolamine have all been proposed to function as signaling lipids. Studies on these stress-inducible lipid species have demonstrated that each lipid class has specific biological relevance, biosynthetic mechanisms and signaling cascades, which activate defense reactions at the transcriptional level. In addition to their roles in signaling, lipids also function as stress mitigators to reduce the intensity of stressors. To mitigate particular stresses, enhanced syntheses of unique lipids that accumulate in trace quantities under normal growth conditions are often observed under stressed conditions. The accumulation of oligogalactolipids and glucuronosyldiacylglycerol has recently been found to mitigate freezing and nutrition-depletion stresses, respectively, during lipid remodeling. In addition, wax, cutin and suberin, which are not constituents of the lipid bilayer, but are components derived from lipids, contribute to the reduction of drought stress and tissue injury. These features indicate that lipid-mediated defenses against environmental stress contributes to plant survival.

Ultra-performance liquid chromatography-mass spectrometry as a sensitive and powerful technology in lipidomic applications

Lipidomics, the comprehensive illumination of lipid-based information in biology systems, involves in identifying lipids and profiling lipids and lipid-derived mediators. The development of lipidomics enables the characterization of lipid species and detailed lipid profiling in body fluid, tissue or cell, and allows for a wider understanding of the biological roles of lipid networks. Lipidomic research has been greatly facilitated by recent advances in ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) and involved in lipid extraction, lipid identification and data analysis supporting applications from qualitative and quantitative assessment of multiple lipid species. UPLC technique, different mass spectrometry technique, lipid extraction and data analysis in lipidomics are reviewed. Afterwards, examples are provided on the use of UPLC-MS for finding lipid biomarkers in disease, drug, food, nutrition and plant fields. We also discuss the UPLC-MS-based lipidomics for the future perspectives and their potential problems.

Arabidopsis Bax inhibitor-1 promotes sphingolipid synthesis during cold stress by interacting with ceramide-modifying enzymes

Bax inhibitor-1 (BI-1) is a widely conserved cell death suppressor localized in the endoplasmic reticulum membrane. Our previous results revealed that Arabidopsis BI-1 (AtBI-1) interacts with not only Arabidopsis cytochrome b 5 (Cb5), an electron transfer protein, but also a Cb5-like domain (Cb5LD)-containing protein, Saccharomyces cerevisiae fatty acid 2-hydroxylase 1, which 2-hydroxylates sphingolipid fatty acids. We have now found that AtBI-1 binds Arabidopsis sphingolipid Δ8 long-chain base (LCB) desaturases AtSLD1 and AtSLD2, which are Cb5LD-containing proteins. The expression of both AtBI-1 and AtSLD1 was increased by cold exposure. However, different phenotypes were observed in response to cold treatment between an atbi-1 mutant and a sld1sld2 double mutant. To elucidate the reasons behind the difference, we analyzed sphingolipids and found that unsaturated LCBs in atbi-1 were not altered compared to wild type, whereas almost all LCBs in sld1sld2 were saturated, suggesting that AtBI-1 may not be necessary for the desaturation of LCBs. On the other hand, the sphingolipid content in wild type increased in response to low temperature, whereas total sphingolipid levels in atbi-1 were unaltered. In addition, the ceramide-modifying enzymes AtFAH1, sphingolipid base hydroxylase 2 (AtSBH2), acyl lipid desaturase 2 (AtADS2) and AtSLD1 were highly expressed under cold stress, and all are likely to be related to AtBI-1 function. These findings suggest that AtBI-1 contributes to synthesis of sphingolipids during cold stress by interacting with AtSLD1, AtFAH1, AtSBH2 and AtADS2.

Recent advances in plant membrane-bound transcription factor research: emphasis on intracellular movement

Transcription factors constitute numerous signal transduction networks and play a central role in gene expression regulation. Recent studies have shown that a limited portion of transcription factors are anchored in the cellular membrane, storing as dormant forms. Upon exposure to environmental and developmental cues, these transcription factors are released from the membrane and translocated to the nucleus, where they regulate associated target genes. As this process skips both transcriptional and translational regulations, it guarantees prompt response to external and internal signals. Membrane-bound transcription factors (MTFs) undergo several unique steps that are not involved in the action of canonical nuclear transcription factors: proteolytic processing and intracellular movement. Recently, alternative splicing has also emerged as a mechanism to liberate MTFs from the cellular membranes, establishing an additional activation scheme independent of proteolytic processing. Multiple layers of MTF regulation add complexity to transcriptional regulatory scheme and ensure elaborate action of MTFs. In this review, we provide an overview of recent findings on MTFs in plants and highlight the molecular mechanisms underlying MTF liberation from cellular membranes with an emphasis on intracellular movement.

Application of stable isotope-assisted metabolomics for cell metabolism studies

The applications of stable isotopes in metabolomics have facilitated the study of cell metabolisms. Stable isotope-assisted metabolomics requires: (1) properly designed tracer experiments; (2) stringent sampling and quenching protocols to minimize isotopic alternations; (3) efficient metabolite separations; (4) high resolution mass spectrometry to resolve overlapping peaks and background noises; and (5) data analysis methods and databases to decipher isotopic clusters over a broad m/z range (mass-to-charge ratio). This paper overviews mass spectrometry based techniques for precise determination of metabolites and their isotopologues. It also discusses applications of isotopic approaches to track substrate utilization, identify unknown metabolites and their chemical formulas, measure metabolite concentrations, determine putative metabolic pathways, and investigate microbial community populations and their carbon assimilation patterns. In addition, 13C-metabolite fingerprinting and metabolic models can be integrated to quantify carbon fluxes (enzyme reaction rates). The fluxome, in combination with other "omics" analyses, may give systems-level insights into regulatory mechanisms underlying gene functions. More importantly, 13C-tracer experiments significantly improve the potential of low-resolution gas chromatography-mass spectrometry (GC-MS) for broad-scope metabolism studies. We foresee the isotope-assisted metabolomics to be an indispensable tool in industrial biotechnology, environmental microbiology, and medical research.

Transcriptome profiling of the cold response and signaling pathways in Lilium lancifolium

Background

Lilium lancifolium, a very important cold-resistant wild flower for lily cold resistance breeding, is widely distributed in southwestern and northeastern China. To gain a better understanding of the cold signaling pathway and the molecular metabolic reactions involved in the cold response, we performed a genome-wide transcriptional analysis using RNA-Seq.

Results

Approximately 104,703 million clean 90- bp paired-end reads were obtained from three libraries (CK 0 h, Cold-treated 2 h and 16 h at 4°C); 18,736 unigenes showed similarity to known proteins in the Swiss-Prot protein database, and 15,898, 13,705 and 1849 unigenes aligned to existing sequences in the KEGG and COG databases (comprising 25 COG categories) and formed 12 SOM clusters, respectively. Based on qRT-PCR results, we studied three signal regulation pathways —the Ca²⁺ and ABA independent/dependent pathways —that conduct cold signals to signal transduction genes such as LlICE and LlCDPK and transcription factor genes such as LlDREB1/CBF, LlAP2/EREBP, LlNAC1, LlR2R3-MYB and LlBZIP, which were expressed highly in bulb. LlFAD3, Llβ-amylase, LlP5CS and LlCLS responded to cold and enhanced adaptation processes that involve changes in the expression of transcripts related to cellular osmoprotectants and carbohydrate metabolism during cold stress.

Conclusions

Our study of differentially expressed genes involved in cold-related metabolic pathways and transcription factors facilitated the discovery of cold-resistance genes and the cold signal transcriptional networks, and identified potential key components in the regulation of the cold response in L lancifolium, which will be most beneficial for further research and in-depth exploration of cold-resistance breeding candidate genes in lily.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-203) contains supplementary material, which is available to authorized users.

Linking gene expression and membrane lipid composition of Arabidopsis

Glycerolipid metabolism of plants responds dynamically to changes in light intensity and temperature, leading to the modification of membrane lipid composition to ensure optimal biochemical and physical properties in the new environment. Although multiple posttranscriptional regulatory mechanisms have been reported to be involved in the process, the contribution of transcriptional regulation remains largely unknown. Here, we present an integrative analysis of transcriptomic and lipidomic data, revealing large-scale coordination between gene expression and changes in glycerolipid levels during the Arabidopsis thaliana response to light and temperature stimuli. Using a multivariate regression technique called O2PLS, we show that the gene expression response is strictly coordinated at the biochemical pathway level and occurs in parallel with changes of specific glycerolipid pools. Five interesting candidate genes were chosen for further analysis from a larger set of candidates identified based on their close association with various groups of glycerolipids. Lipidomic analysis of knockout mutant lines of these five genes showed a significant relationship between the coordination of transcripts and glycerolipid levels in a changing environment and the effects of single gene perturbations.

A lipidomic approach to identify cold-induced changes in Arabidopsis membrane lipid composition

Lipidomic analysis using electrospray ionization triple quadrupole mass spectrometry can be employed to monitor lipid changes that occur during cold and freezing stress of plants. Here we describe the analysis of Arabidopsis thaliana polar glycerolipids with normal and oxidized acyl chains, sampled during cold and freezing treatments. Mass spectral data are processed using the online capabilities of LipidomeDB Data Calculation Environment.

Coordinating metabolite changes with our perception of plant abiotic stress responses: emerging views revealed by integrative-omic analyses

Metabolic configuration and adaptation under a range of abiotic stresses, including drought, heat, salinity, cold, and nutrient deprivation, are subjected to an intricate span of molecular pathways that work in parallel in order to enhance plant fitness and increase stress tolerance. In recent years, unprecedented advances have been made in identifying and linking different abiotic stresses, and the current challenge in plant molecular biology is deciphering how the signaling responses are integrated and transduced throughout metabolism. Metabolomics have often played a fundamental role in elucidating the distinct and overlapping biochemical changes that occur in plants. However, a far greater understanding and appreciation of the complexity in plant metabolism under specific stress conditions have become apparent when combining metabolomics with other—omic platforms. This review focuses on recent advances made in understanding the global changes occurring in plant metabolism under abiotic stress conditions using metabolite profiling as an integrated discovery platform.

De novo sequencing and transcriptome analysis of the desert shrub, Ammopiptanthus mongolicus, during cold acclimation using Illumina/Solexa

Background

Ammopiptanthus mongolicus (Maxim. ex Kom.) Cheng f., an evergreen broadleaf legume shrub, is distributed in Mid-Asia where the temperature can be as low as −30°C during the winter. Although A. mongolicus is an ideal model to study the plant response to cold stress, insufficient genomic resources for this species are available in public databases. To identify genes involved in cold acclimation (a phenomenon experienced by plants after low temperature stress), a high-throughput sequencing technology was applied.

Results

We sequenced cold-treated and control (untreated) samples of A. mongolicus, and obtained 65,075,656 and 67,287,120 high quality reads, respectively. After de novo assembly and quantitative assessment, 82795 all-unigenes were finally generated with an average length of 816 bp. We then obtained functional annotations by aligning all-unigenes with public protein databases including NR, SwissProt, KEGG and COG. Differentially expressed genes (DEGs) were investigated using the RPKM method. Overall, 9309 up-regulated genes and 23419 down-regulated genes were identified. To increase our understanding of these DEGs, we performed GO enrichment and metabolic pathway enrichment analyses. Based on these results, a series of candidate genes involved in cold responsive pathways were selected and discussed. Moreover, we analyzed transcription factors, and found 720 of them are differentially expressed. Finally, 20 of the candidate genes that were up-regulated and known to be associated with cold stress were examined using qRT-PCR.

Conclusions

In this study, we identified a large set of cDNA unigenes from A. mongolicus. This is the first transcriptome sequencing of this non-model species under cold-acclimation using Illumina/Solexa, a next-generation sequencing technology. We sequenced cold-treated and control (untreated) samples of A. mongolicus and obtained large numbers of unigenes annotated to public databases. Studies of differentially expressed genes involved in cold-related metabolic pathways and transcription factors facilitate the discovery of cold-resistance genes.

Systemic analysis of inducible target of rapamycin mutants reveal a general metabolic switch controlling growth in Arabidopsis thaliana

The target of rapamycin (TOR) pathway is a major regulator of growth in all eukaryotes, integrating energy, nutrient and stress signals into molecular decisions. By using large-scale MS-based metabolite profiling of primary, secondary and lipid compounds in combination with array-based transcript profiling, we show that the TOR protein not only regulates growth but also influences nutrient partitioning and central energy metabolism. The study was performed on plants exhibiting conditional down-regulation of AtTOR expression, revealing strong regulation of genes involved in pathways such as the cell cycle, cell-wall modifications and senescence, together with major changes in transcripts and metabolites of the primary and secondary metabolism. In agreement with these results, our morphological and metabolic analyses disclosed major metabolic changes leading to massive accumulations of storage lipids and starch. The implications of these data in the context of the general role of TOR in eukaryotic systems are discussed in parallel with the plant-specific aspects of TOR function. Finally, we propose a role for harnessing the plant TOR pathway by utilizing it as a potent metabolic switch, offering a possible route for biotechnological optimization of plant energy content and carbon partitioning for the production of bioenergy.