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Understanding the genetic basis of water use efficiency (WUE) and its roles in plant adaptation to a drought environment is essential for the production of second-generation energy crops in water-deficit marginal land. In this study, RNA-Seq and WUE measurements were performed for 78 individuals of Miscanthus lutarioriparius grown in two common gardens, one located in warm and wet Central China near the native habitats of the species and the other located in the semiarid Loess Plateau, the domestication site of the energy crop. The field measurements showed that WUE of M. lutarioriparius in the semiarid location was significantly higher than that in the wet location. A matrix correlation analysis was conducted between gene expression levels and WUE to identify candidate genes involved in the improvement of WUE from the native to the domestication site. A total of 48 candidate genes were identified and assigned to functional categories, including photosynthesis, stomatal regulation, protein metabolism, and abiotic stress responses. Of these genes, nearly 73% were up-regulated in the semiarid site. It was also found that the relatively high expression variation of the WUE-related genes was affected to a larger extent by environment than by genetic variation. The study demonstrates that transcriptome-wide correlation between physiological phenotypes and expression levels offers an effective means for identifying candidate genes involved in the adaptation to environmental changes. [ABSTRACT FROM AUTHOR]

Background: The molecular, biochemical, and genetic mechanisms that regulate the complex metabolic network of soybean seed development determine the ultimate balance of protein, lipid, and carbohydrate stored in the mature seed. Many of the genes and metabolites that participate in seed metabolism are unknown or poorly defined; even more remains to be understood about the regulation of their metabolic networks. A global omics analysis can provide insights into the regulation of seed metabolism, even without a priori assumptions about the structure of these networks. Results: With the future goal of predictive biology in mind, we have combined metabolomics, transcriptomics, and metabolic flux technologies to reveal the global developmental and metabolic networks that determine the structure and composition of the mature soybean seed. We have coupled this global approach with interactive bioinformatics and statistical analyses to gain insights into the biochemical programs that determine soybean seed composition. For this purpose, we used Plant/Eukaryotic and Microbial Metabolomics Systems Resource (PMR, http://www.metnetdb.org/pmr, a platform that incorporates metabolomics data to develop hypotheses concerning the organization and regulation of metabolic networks, and MetNet systems biology tools http://www.metnetdb. org for plant omics data, a framework to enable interactive visualization of metabolic and regulatory networks. Conclusions: This combination of high-throughput experimental data and bioinformatics analyses has revealed sets of specific genes, genetic perturbations and mechanisms, and metabolic changes that are associated with the developmental variation in soybean seed composition. Researchers can explore these metabolomics and transcriptomics data interactively at PMR. [ABSTRACT FROM AUTHOR]

The ontogeny of seed structure and the accumulation of seed storage substances is the result of a determinant genetic program. Using RNA interference, the synthesis of soybean (Glycine max) glycinin and conglycinin storage proteins has been suppressed. The storage protein knockdown (SP-) seeds are overtly identical to the wild type, maturing to similar size and weight, and in developmental ontogeny. The SP- seeds rebalance the proteome, maintaining wild-type levels of protein and storage triglycerides. The SP- soybeans were evaluated with systems biology techniques of proteomics, metabolomics, and transcriptomics using both microarray and next-generation sequencing transcript sequencing (RNA-Seq). Proteomic analysis shows that rebalancing of protein content largely results from the selective increase in the accumulation of only a few proteins. The rebalancing of protein composition occurs with small alterations to the seed's transcriptome and metabolome. The selectivity of the rebalancing was further tested by introgressing into the SP- line a green fluorescent protein (GFP) glycinin allele mimic and quantifying the resulting accumulation of GFP. The GFP accumulation was similar to the parental GFP-expressing line, showing that the GFP glycinin gene mimic does not participate in proteome rebalancing. The results show that soybeans make large adjustments to the proteome during seed filling and compensate for the shortage of major proteins with the increased selective accumulation of other proteins that maintains a normal protein content. [ABSTRACT FROM AUTHOR]

High-spatial resolution and high-mass resolution techniques are developed and adopted for the mass spectrometric imaging of epicuticular lipids on the surface of Arabidopsis thaliana. Single cell level spatial resolution of ∼12 pm was achieved by reducing the laser beam size by using an optical fiber with 25 μm core diameter in a vacuum matrix-assisted laser desorption ionization-linear ion trap (vMALDI-LTQ) mass spectrometer and improved matrix application using an oscillating capillary nebulizer. Fme chemical images of a whole flower were visualized in this high spatial resolution showing substructure of an anther and single pollen grains at the stigma and anthers. The LTQ-Othitrap with a MALDI ion source was adopted to achieve MS imaging in high mass resolution. Specifically, isobaric silver ion adducts of C29 alkane (m/z 515.3741) and C28 aldehyde (m/z 515.3377), indistinguishable in low-resolution LTQ, can now be clearly distinguished and their chemical images could be separately constructed. In the application to roots, the high spatial resolution allowed molecular MS imaging of secondary roots and the high mass resolution allowed direct identification of lipid metabolites on root surfaces. [ABSTRACT FROM AUTHOR]

Colloidal silver laser desorption/ionization (LDI) mass spectrometry (MS) was employed to directly profile and image epicuticular wax metabolites on a variety of different surfaces of Arabidopsis thaliana leaves and flowers. Major cuticular wax compounds, such as very long-chain fatty acids, alcohols, alkanes, and ketones, were successfully detected as silver adduct ions. The surface metabolites of different flower organs (carpels, petals, and sepals) were profiled for the first time at a spatial resolution of ∼100 μm. In addition, mass spectral profiles and images were collected from wild type and a mutant strain, which carried alleles that affect the surface constituents of this organism. One of these mutant alleles (cer2-2) is in a gene whose biochemical functionality is still unclear, although its effect on normal epicuticular wax deposition was the characteristic that led to its original identification. Variations of wax products between different spatial locations for wild type and for a mutant strain were investigated by normalizing the ion intensities to a reference peak ([107Ag + 109Ag]+). The spatially resolved surface metabolite profiling data of this mutant has provided new insights into the complexity of epicuticular wax deposition at the cellular-resolution scale. This MS-based metabolite imaging technology has the potential to provide valuable data for dissecting metabolism in multicellular organism at the level of single cells. [ABSTRACT FROM AUTHOR]

Cloned soybean sterol methyltransferase was purified from Escherichia coli to gel electrophoretic homogeneity. From initial velocity experiments, catalytic constants for substrates best suited for the first and second C[sub 1] transfer activities, cycloartenol and 24(28)-methylenelophenol, were 0.01 and 0.001 s[sup -1], respectively. Two-substrate kinetic analysis using cycloartenol and S-adenosyl-L-methionine (AdoMet) generated an intersecting line pattern characteristic of a ternary complex kinetic mechanism. The high energy intermediate analog 25-azacycloartanol was a noncompetitive inhibitor versus cycloartenol and an uncompetitive inhibitor versus AdoMet. The dead end inhibitor analog cyclolaudenol was competitive versus cycloartenol and uncompetitive versus AdoMet. 24(28)Methylenecycloartanol and AdoHcy generated competitive and noncompetitive kinetic patterns, respectively, with respect to AdoMet. Therefore, 24(28)-methylenecycloartanol combines with the same enzyme form as does cycloartenol and must be released from the enzyme before AdoHcy. 25-Azacycloartanol inhibited the first and second C[sub 1] transfer activities with about equal efficacy (K[sub i] = 45 nM), suggesting that the successive C-methylation of the Δ[sup 24] bond occurs at the same active center. Comparison of the initial velocity data using AdoMet versus [²H[sub 3]-methyl]AdoMet as substrates tested against saturating amounts of cycloartenol indicated an isotope effect on V[sub CH3]/V[sub CD3] close to unity. [25²H]24(28)-Methylenecycloartanol, [28E-²H]24 (28)-methylenelanosterol, and [28Z-²H]24(28)-methylene lanosterol were prepared and paired with AdoMet or [methyl³H[sub 3]]AdoMet to examine the kinetic isotope effects attending the C-28 deprotonation in the enzymatic synthesis of 24-ethyl(idene) sterols. The stereochemical features as well as the observation of isotopically sensitive branching during the second C-methylation suggests that the two methylation steps can proceed by a change in chemical mechanism resulting from differences in sterol structure, concerted versus carbocation; the kinetic mechanism remains the same during the consecutive methylation of the Δ[sup 24] bond. [ABSTRACT FROM AUTHOR]