Potent PPARα activator derived from tomato juice, 13-oxo-9,11-octadecadienoic acid, decreases plasma and hepatic triglyceride in obese diabetic mice.

Dyslipidemia is a major risk factor for development of several obesity-related diseases. The peroxisome proliferator-activated receptor α (PPARα) is a ligand-activated transcription factor that regulates energy metabolism. Previously, we reported that 9-oxo-10,12-octadecadienoic acid (9-oxo-ODA) is presented in fresh tomato fruits and acts as a PPARα agonist. In addition to 9-oxo-ODA, we developed that 13-oxo-9,11-octadecadienoic acid (13-oxo-ODA), which is an isomer of 9-oxo-ODA, is present only in tomato juice. In this study, we explored the possibility that 13-oxo-ODA acts as a PPARα agonist in vitro and whether its effect ameliorates dyslipidemia and hepatic steatosis in vivo. In vitro luciferase assay experiments revealed that 13-oxo-ODA significantly induced PPARα activation; moreover, the luciferase activity of 13-oxo-ODA was stronger than that of 9-oxo-ODA and conjugated linoleic acid (CLA), which is a precursor of 13-oxo-ODA and is well-known as a potent PPARα activator. In addition to in vitro experiment, treatment with 13-oxo-ODA decreased the levels of plasma and hepatic triglycerides in obese KK-Ay mice fed a high-fat diet. In conclusion, our findings indicate that 13-oxo-ODA act as a potent PPARα agonist, suggesting a possibility to improve obesity-induced dyslipidemia and hepatic steatosis.

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.

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.

SCOPE: Tomato 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. METHODS AND RESULTS: To identify such active compounds, we screened fractions of tomato extracts using PPARα luciferase reporter assay. One fraction, rechromatographed-fraction eluted in 57 min (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. CONCLUSION: These findings suggest that tomatoes containing 9-oxo-ODA that acts on PPARα are valuable for ameliorating abnormalities of lipid metabolism.

Large-scale analysis of full-length cDNAs from the tomato (Solanum lycopersicum) cultivar Micro-Tom, a reference system for the Solanaceae genomics.

BACKGROUND: The Solanaceae family includes several economically important vegetable crops. The tomato (Solanum lycopersicum) is regarded as a model plant of the Solanaceae family. Recently, a number of tomato resources have been developed in parallel with the ongoing tomato genome sequencing project. In particular, a miniature cultivar, Micro-Tom, is regarded as a model system in tomato genomics, and a number of genomics resources in the Micro-Tom-background, such as ESTs and mutagenized lines, have been established by an international alliance. RESULTS: To accelerate the progress in tomato genomics, we developed a collection of fully-sequenced 13,227 Micro-Tom full-length cDNAs. By checking redundant sequences, coding sequences, and chimeric sequences, a set of 11,502 non-redundant full-length cDNAs (nrFLcDNAs) was generated. Analysis of untranslated regions demonstrated that tomato has longer 5'- and 3'-untranslated regions than most other plants but rice. Classification of functions of proteins predicted from the coding sequences demonstrated that nrFLcDNAs covered a broad range of functions. A comparison of nrFLcDNAs with genes of sixteen plants facilitated the identification of tomato genes that are not found in other plants, most of which did not have known protein domains. Mapping of the nrFLcDNAs onto currently available tomato genome sequences facilitated prediction of exon-intron structure. Introns of tomato genes were longer than those of Arabidopsis and rice. According to a comparison of exon sequences between the nrFLcDNAs and the tomato genome sequences, the frequency of nucleotide mismatch in exons between Micro-Tom and the genome-sequencing cultivar (Heinz 1706) was estimated to be 0.061%. CONCLUSION: The collection of Micro-Tom nrFLcDNAs generated in this study will serve as a valuable genomic tool for plant biologists to bridge the gap between basic and applied studies. The nrFLcDNA sequences will help annotation of the tomato whole-genome sequence and aid in tomato functional genomics and molecular breeding. Full-length cDNA sequences and their annotations are provided in the database KaFTom http://www.pgb.kazusa.or.jp/kaftom/ via the website of the National Bioresource Project Tomato http://tomato.nbrp.jp.

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.

Expressed sequence tags from the laboratory-grown miniature tomato (Lycopersicon esculentum) cultivar Micro-Tom and mining for single nucleotide polymorphisms and insertions/deletions in tomato cultivars.

Laboratory-grown miniature tomato (Lycopersicon esculentum) cultivar Micro-Tom has attracted attention as a host for functional genomics research. In this study, we generated 35,824 expressed sequence tags (ESTs) from leaves and fruits of Micro-Tom. The ESTs comprised 10,287 unigenes (5007 contigs and 5280 singletons), including 1858 novel tomato unigenes. Of the 18 unigenes that shared strong homology with tobacco chloroplast genome sequences, one unigene was likely derived from polyadenylated transcripts of the atpH gene. Interestingly, ESTs for vacuolar invertase, pectate lyase and alcohol acyl transferase were underrepresented in the Micro-Tom data set. From all of the ESTs, we mined 2039 candidate single nucleotide polymorphisms (SNPs) and 121 candidate insertions and deletions (indels) based on homology with four tomato inbred lines, E6203, R11-13, Rio Grande PtoR and R11-12, and a wild relative, L. pennellii TA56, for which sequence data was publicly available with more than 5000 entries. Direct genome sequencing of several SNP or indel sites in Micro-Tom and L. esculentum E6203 suggested that more than 69% of the candidate sites were truly polymorphic, making them useful for the preparation of DNA markers.

Analysis of gene expression in Arabidopsis thaliana by array hybridization with genomic DNA fragments aligned along chromosomal regions.

The availability of the entire genomic sequence of the higher plant Arabidopsis thaliana prompted an analysis of chromosomal regions for gene expression with the use of high-density DNA array filters spotted with genomic DNA fragments (genomic DNA array analysis). One TAC and nine P1 clones, each of which contains a genomic DNA insert of approximately 80 kb and was used for sequencing of chromosome 5, were arbitrarily selected for analysis. The total size of the genomic regions corresponding to these clones is 819 kb. A total of 339 DNA fragments (average size, 2.9 kb) that cover contiguously the 10 chromosomal regions was selected and spotted onto nylon filters. The filters were then subjected to hybridization with (33)P-labelled cDNA molecules that had been synthesized from polyadenylated RNA isolated from 3-week-old plants. Quantitative and reproducible measurement of hybridization signals allowed analysis of the transcription of all genes in the targeted regions that were expressed at a level above the limit of detection. The data revealed that the analysed chromosomal regions are rich in active genes, and that they also provided a basis for the identification of novel transcripts whose sequences are not represented in the expressed sequence tag (EST) database.