Koh Aoki

Metabolic Alterations in Organic Acids and γ–Aminobutyric Acid in Developing Tomato (Solanum lycopersicum L.) Fruits

Salt stress improves the quality of tomato fruits. To clarify the mechanism(s) underlying this phenomenon, we investigated metabolic alterations in tomato fruits exposed to 160 mM salt, focusing on metabolism of organic acids related to the tricarboxylic acid (TCA) cycle and gamma-aminobutyric acid (GABA). Quantitative analyses revealed that most amino acids increased in response to salt stress throughout fruit development, and the effect of the stress was greater in the pericarp than in the columella, whereas organic acids did not show a remarkable tendency to salt stress. The transcript levels of 20 genes encoding enzymes of the TCA cycle and peripheral pathways were also analyzed in salt-stressed fruit. Genes responsive to salt stress could be categorized into two types, which were expressed during early development or ripening stages. During fruit development, phosphoenolpyruvate carboxylase 2 and phosphoenolpyruvate carboxykinase displayed contrasting expression patterns between early development and ripening, suggesting a switch of carbohydrate metabolism after the turning stage. Our results revealed a new metabolic pathway for GABA during the development of tomato fruits. At the start of ripening, GABA is first converted to malate via succinate semialdehyde, and it passes into a shunt through pyruvate. Then, it flows back to the TCA cycle and is stored as citrate, which contributes as a substrate for respiration during fruit maturation.

9-oxo-10(E),12(E)-Octadecadienoic acid derived from tomato is a potent PPAR α agonist to decrease triglyceride accumulation in mouse primary hepatocytes.

SCOPEnTomato is one of the most common crops worldwide and contains many beneficial compounds that improve abnormalities of lipid metabolism. However, the molecular mechanism underlying the effect of tomato on lipid metabolism is unclear. It has been commonly accepted that peroxisome proliferator-activated receptor α (PPARα) is one of the most important targets for ameliorating abnormalities of lipid metabolism. Therefore, we focused on the activation of PPARα and attempted to detect active compounds activating PPARα in tomato.nnnMETHODS AND RESULTSnTo identify such active compounds, we screened fractions of tomato extracts using PPARα luciferase reporter assay. One fraction, rechromatographed-fraction eluted in 57u2009min (RF57), significantly increased PPARα reporter activity, in which a single compound is detected by LC/MS analysis. On the basis of LC/MS and NMR analyses, we determined the chemical structure of the active compound in RF57 as 9-oxo-10(E),12(E)-octadecadienoic acid (9-oxo-ODA). The RF57 fraction significantly increased the mRNA expression levels of PPARα target genes involved in fatty acid oxidation and O(2) consumption in mouse primary hepatocytes. Furthermore, RF57 inhibited cellular triglyceride accumulation in the hepatocytes.nnnCONCLUSIONnThese findings suggest that tomatoes containing 9-oxo-ODA that acts on PPARα are valuable for ameliorating abnormalities of lipid metabolism.

Coexpression Analysis of Tomato Genes and Experimental Verification of Coordinated Expression of Genes Found in a Functionally Enriched Coexpression Module

Gene-to-gene coexpression analysis is a powerful approach to infer the function of uncharacterized genes. Here, we report comprehensive identification of coexpression gene modules of tomato (Solanum lycopersicum) and experimental verification of coordinated expression of module member genes. On the basis of the gene-to-gene correlation coefficient calculated from 67 microarray hybridization data points, we performed a network-based analysis. This facilitated the identification of 199 coexpression modules. A gene ontology annotation search revealed that 75 out of the 199 modules are enriched with genes associated with common functional categories. To verify the coexpression relationships between module member genes, we focused on one module enriched with genes associated with the flavonoid biosynthetic pathway. A non-enzyme, non-transcription factor gene encoding a zinc finger protein in this module was overexpressed in S. lycopersicum cultivar Micro-Tom, and expression levels of flavonoid pathway genes were investigated. Flavonoid pathway genes included in the module were up-regulated in the plant overexpressing the zinc finger gene. This result demonstrates that coexpression modules, at least the ones identified in this study, represent actual transcriptional coordination between genes, and can facilitate the inference of tomato gene function.

Temporal and Spatial Distribution of Ferredoxin Isoproteins in Tomato Fruit

Five ferredoxin (Fd) isoproteins (FdA, FdB, FdC, FdD, and FdE) were isolated from tomato (Lycopersicon esculentum cv Momotaro) fruit. These isoproteins showed differential temporal and spatial accumulation patterns. FdA and FdC were present in leaves, FdE was present in roots, and FdB and FdD were fruit-specific. During fruit growth, the relative abundance of FdA decreased and that of FdE increased. The FdE/FdA ratio was higher in the inner tissues of the fruit than in the outer tissue, and it was correlated with starch accumulation. In dark-grown fruit the contents of FdA, FdB, and FdC, as well as chlorophyll, decreased remarkably relative to their light-grown counterparts; however, the contents of FdE and starch did not change significantly. Under in vitro conditions FdE showed higher cytochrome c reduction activity than FdA and FdB. These results, together with their N-terminal sequences, indicate that both photosynthetic- and heterotrophic- type Fd isoproteins are present in tomato fruit.

KAGIANA: An Excel-Based Tool for Retrieving Summary Information on Arabidopsis Genes

Various public databases provide Arabidopsis gene information via the internet. It is useful to abstract information obtained from such databases. We have developed the KAGIANA tool, which allows a user to retrieve summary information obtained from selective databases and to access pages for a gene of interest in those databases. The tool is based on Microsoft Excel and provides several macro programs for gene expression analyses. It can assist plant biologists in accessing omics information for plant biology. The KAGIANA tool is freely available at http://pmnedo.kazusa.or.jp/kagiana/.

Novel promoters that induce specific transgene expression during the green to ripening stages of tomato fruit development

AbstractFruit-specific promoters have been used as genetic engineering tools for studies on molecular mechanism of fruit development and advance in fruit quality and additional value by increasing functional component. Especially fruit-ripening specific promoters have been well utilized and studied in tomato; however, few studies have reported the development of promoters that act at fruit developing stages such as immature green and mature green periods. In this study, we report novel promoters for gene expression during the green to ripening stages of tomato fruit development. Genes specifically expressed at tomato fruit were selected using microarray data. Subsequent to confirmation of the expression of the selected 12 genes, upstream DNA fragments of the genes LA22CD07, Les.3122.2.A1_a_at and LesAffx.6852.1.S1_at which specifically expressed at fruit were isolated from tomato genomic DNA as promoter regions. Isolated promoter regions were fused with the GUS gene and the resultant constructs were introduced into tomato by agrobacterium-mediated transformation for evaluation of promoter activity in tomato fruit. The two promoters of LA22CD07, and LesAffx.6852.1.S1_at showed strong activity in the fruit, weak activity in the flower and undetectable activity in other tissues. Unlike well-known fruit-ripening specific promoters, such as the E8 promoter, these promoters exhibited strong activity in green fruit in addition to red-ripening fruit, indicating that the promoters are suitable for transgene expression during green to ripening stages of tomato fruit development.n Key message Novel fruit-specific promoters have been identified and are suitable for transgene expression during green to ripening stages of tomato fruit development.

Comparative and Stability Analyses of 9- and 13-Oxo-octadecadienoic Acids in Various Species of Tomato

Peroxisome proliferator-activated receptor-α (PPARα) regulates lipid metabolism. We have reported that tomato fruit contains 9-Oxo-(10E,12E)-octadecadienoic acid (9-Oxo-(10E,12E)-ODA), a PPARα agonist. In this study, we found that various tomato samples contained 9-Oxo-(10E,12Z)-ODA and its 13-Oxo-ODA isomers. Furthermore, several isomers showed structural stability under hot and acidic conditions.

Structures and reactions of compounds involved in pink discolouration of onion.

In pinking of onion, E-(+)-S-(1-propenyl)-L-cysteine sulfoxide is first cleaved by alliinase to yield colour developers (CDs), which react with amino acids, such as valine, to form pigment precursors (PPs). The PPs react with naturally occurring carbonyls (NOCs) to form pigments. By inducing a PP from previously isolated cepathiolanes and L-valine, it was confirmed that cepathiolanes constitute at least a part of the CDs. From the PP and formaldehyde as a NOC, two colourless and two pink compounds were derived. The structure of one of the colourless compounds was established as 2-(2-(1-(1-carboxy-2-methylpropyl)-3,4-dimethyl-1H-pyrrol-2-yl)methyl-3,4-dimethyl-1H-pyrrol-1-yl)-3-methylbutanoic acid. The structures of the other colourless compound and the pink pigments were predicted based on their molecular formula and the MS(n) spectral data. A trimeric pigment structure was predicted for one of the pink pigments, which was believed to be the first to be reported in the literature. With these, a new reaction scheme for pinking of onion is proposed.

Amino acid sequences of heterotrophic and photosynthetic ferredoxins from the tomato plant (Lycopersicon esculentum Mill.)

Several forms (isoproteins) of ferredoxin in roots, leaves, and green and red pericarps in tomato plants (Lycopersicon esculentum Mill.) were earlier identified on the basis of N-terminal amino acid sequence and chromatographic behavior (Green et al. 1991). In the present study, a large scale preparation made possible determination of the full length amino acid sequence of the two ferredoxins from leaves. The ferredoxins characteristic of fruit and root were sequenced from the amino terminus to the 30th residue or beyond. The leaf ferredoxins were confirmed to be expressed in pericarp of both green and red fruit. The ferredoxins characteristic of fruit and root appeared to be restricted to those tissue. The results extend earlier findings in demonstrating that ferredoxin occurs in the major organs of the tomato plant where it appears to function irrespective of photosynthetic competence.

THE PREDICTION OF LOCAL MODULAR STRUCTURES IN A CO-EXPRESSION NETWORK BASED ON GENE EXPRESSION DATASETS

In scientific fields such as systems biology, evaluation of the relationship between network members (vertices) is approached using a network structure. In a co-expression network, comprising genes (vertices) and gene-to-gene links (edges) representing co-expression relationships, local modular structures with tight intra-modular connections include genes that are co-expressed with each other. For detecting such modules from among the whole network, an approach to evaluate network topology between modules as well as intra-modular network topology is useful. To detect such modules, we combined a novel inter-modular index with network density, the representative intra-modular index, instead of a single use of network density. We designed an algorithm to optimize the combinatory index for a module and applied it to Arabidopsis co-expression analysis. To verify the relation between modules obtained using our algorithm and biological knowledge, we compared it to the other tools for co-expression network analyses using the KEGG pathways, indicating that our algorithm detected network modules representing better associations with the pathways. It is also applicable to a large dataset of gene expression profiles, which is difficult to calculate in a mass.