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Phytochemical diversity was examined by gas chromatography-mass spectrometry in tubers of genotypes belonging to groups Andigena, Phureja, Stenotomum, and Tuberosum of the potato, Solanum tuberosum. Polar extracts (mainly amino acids, organic acids, sugars, and sugar alcohols) and nonpolar extracts (mainly fatty acids, fatty alcohols, and sterols) were examined. There was a large range in levels of metabolites, including those such as asparagine, fructose, and glucose, that are important to tuber quality, offering considerable scope for selecting germplasm for breeding programmes. There were significant differences in the levels of many metabolites among the groups. The metabolite profiles of genotypes belonging to Phureja and Stenotomum were similar and different from those of Tuberosum and the majority of Andigena genotypes. There was some agreement with the phylogeny of the groups in that Stenotomum is believed to be the ancestor of Phureja and they are both distinct from Tuberosum. Andigena genotypes could be partially distinguished according to geographical origin, Bolivian genotypes being particularly distinct from those from Ecuador. Biosynthetic links between metabolites were explored by performing pairwise correlations of all metabolites. The significance of some expected and unexpected strong correlations between many amino acids (e.g., between isoleucine, lysine, valine, and other amino acids) and between several nonpolar metabolites (e.g., between many fatty acids) is discussed. For polar metabolites, correlation analysis gave essentially similar results irrespective of whether the whole data set, only Andigena genotypes, or only Phureja genotypes were used. In contrast, for the nonpolar metabolites, Andigena only and Phureja only data sets resulted in weaker and stronger correlations, respectively, compared to the whole data set, and may suggest differences in the biochemistry of the two groups, although the interpretation should be viewed with some caution.

The use of profiling techniques such as transcriptomics, proteomics, and metabolomics has been proposed to improve the detection of side effects of plant breeding processes. This paper describes the construction of a food safety-oriented potato cDNA microarray (FSPM). Microarray analysis was performed on a well-defined set of tuber samples of two different potato varieties, grown under different, well-recorded environmental conditions. Data were analyzed to assess the potential of transcriptomics to detect differences in gene expression due to genetic differences or environmental conditions. The most pronounced differences were found between the varieties Sante and Lady Balfour, whereas differences due to growth conditions were less significant. Transcriptomics results were confirmed by quantitative PCR. Furthermore, the bandwidth of natural variation of gene expression was explored to facilitate biological and/or toxicological evaluation in future assessments.

Phytochemical diversity with respect to a range of polar (including amino acids, organic acids, sugars, and sugar alcohols) and nonpolar (including fatty acids, alkanols, and sterols) metabolites was examined within tubers from a total of 29 genetically diverse potato cultivars and Chilean landraces using a metabolomics approach by gas chromatography-mass spectrometry. From principal component analysis of the polar and nonpolar metabolite data there was insufficient variation to differentiate the majority of cultivars and landraces. Analysis of all polar metabolite profiles revealed separation of two cultivars (Glenna and Morag) from the other cultivars and landraces and a separate cluster of one landrace line, largely due to higher levels of sugars. Pentland Javelin was distinct in containing high levels of many amino acids. The two Solanum tuberosum group phureja cultivars (Inca Sun and Mayan Gold) were not particularly similar and were not separated from the S. tuberosum group tuberosum cultivars. Analysis of the nonpolar metabolite data revealed partial separation of two landrace lines and, on the basis of some minor fatty acids, Mayan Gold was distinct. The differences in metabolite profiles are considered in terms of the taxonomy and breeding history of the cultivars and possible influences from other factors such as developmental stage of the tuber. With a view to exploring biosynthetic links between metabolites, a pairwise correlation analysis was performed on all metabolites. The significance of high correlations between many amino acids and between several nonpolar metabolites is discussed.

The antioxidant capacity of red cloudberry (Rubus chamaemorus) juice correlates well with its phenolic content. The red berries have a markedly higher content of anthocyanins, particularly cyanidin and pelargonidin derivatives, than that found in the more common yellow fruit. Conversely, the yellow juice has higher ellagitannin content. A feeding study was conducted to show the in vivo effects of the juices on lipid peroxidation in a sensitive Drosophila melanogaster stock. In young female flies there were significant (P < 0.01) effects of cloudberry juice on lipid peroxidation. In young male flies significant (P < 0.05) effects were found on primary products (hydroxyperoxides) with yellow juice and on secondary products (ketodienes) with red juice. With the red juice, a significant (P < 0.05) decrease in ketodienes was found in both young and old males. This study demonstrates that the effects of berry antioxidants on lipid peroxidation are easily and rapidly tested in vivo with the sensitive Drosophila model.

Four related phenolic amides previously undescribed from the species were revealed during metabolic profiling of potato (Solanum tuberosum) tubers. N(1),N(12)-Bis(dihydrocaffeoyl)spermine (kukoamine A) and N(1),N(8)-bis(dihydrocaffeoyl)spermidine were positively identified by comparison with authentic standards, while the structures N(1),N(4),N(12)-tris(dihydrocaffeoyl)spermine and N(1),N(4),N(8)-tris(dihydrocaffeoyl)spermidine are proposed for the other two metabolites. Each amide was present at several tens of micrograms per gram of dry matter. Several of these compounds were subsequently detected in other solanaceous species, such as tomato (Lycopersicon esculentum) and Nicotiana sylvestris. They appeared not to be present in Arabidopsis thaliana or Beta vulgaris. Bis(dihydrocaffeoyl)spermine isomers have previously been identified in only a single plant, the Chinese medicinal species Lycium chinense (Solanaceae), where they may account for some of the described biological activity. The other compounds have not until now been reported in vivo, though some of the equivalent hydroxycinnamoyl derivatives are known. The surprising discovery of kukoamine and allies in a range of solanaceous species including potato, a common food crop that has a long history of scientific investigation, provides exemplary evidence for the potential of the nontargeted techniques of metabolomics in studying plant metabolites.

Total and individual fatty acid contents were determined in raw tubers of four genotypes from each of the two species Solanum phureja and S. tuberosum. The four S. phureja genotypes contained statistically significantly higher concentrations of total fatty acids, with their average value being 37% greater than that for the mean of the four S. tuberosum cultivars. In both species, a total of 17 fatty acids were detected in quantifiable amounts, and in all genotypes the predominant fatty acid was linoleic followed by alpha-linolenic and palmitic acids. Unusually, 15-methyl hexadecanoate was present as a minor acid in both species. Although a number of statistically significant differences in the fatty acid percentage compositions were found between and within the two species, these were generally small. Averaged over all species and genotypes, tuber storage resulted in an initial small but statistically significant increase in total fatty acid content, but prolonged storage resulted in a fall to the initial values detected close to harvest. The same trend was evident for S. phureja alone (for mean values of all genotypes), but for S. tuberosum the total fatty acid content remained constant over the whole storage period. For both species, the contents (both as absolute levels and as percent compositions) of linoleic acid decreased and alpha-linolenic acid increased in tubers over the whole storage period, and possible mechanisms are discussed. Also, the absolute levels of these two acids were greater in S. phureja than in S. tuberosum, and this is discussed in relation to the development of flavor-related compounds during cooking. The polar lipids of one representative of S. tuberosum and of S. phureja were qualitatively similar. There were only minor differences in the polar lipid percentage compositions and in the corresponding fatty acid compositions of the individual polar lipids between the two species, although the absolute levels of the total, and of some individual, polar lipids were higher in S. phureja.

Metabolite profiling has been carried out to assess the compositional changes occurring in potato tubers after genetic modifications have been made to different metabolic pathways. Most major features in the (1)H NMR and HPLC-UV profiles of tuber extracts have been assigned. About 40 GM lines and controls belonging to 4 groups of samples (derived from cv. Record or cv. Desirée and modified in primary carbon metabolism, starch synthesis, glycoprotein processing, or polyamine/ethylene metabolism) were analyzed. Differences were assessed at the level of whole profiles (by PCA) or individual compounds (by ANOVA). The most obvious differences seen in both NMR and HPLC-UV profiles were between the two varieties. There were also significant differences between two of the four Desirée GM lines with modified polyamine metabolism and their controls. Compounds notably affected were proline, trigonelline, and numerous phenolics. However, that modification gave rise to a very abnormal phenotype. Certain lines from the other groups had several compounds present in significantly higher or lower amounts compared to the control, but the differences in mean values amounted to no more than a 2-3-fold change: in the context of variability in the whole data set, such changes did not appear to be important.