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1.
J Agric Food Chem ; 58(23): 12286-91, 2010 Dec 08.
Article in English | MEDLINE | ID: mdl-21058654

ABSTRACT

Crowberry (Empetrum nigrum L.) is a relatively under-utilized wild berry that occurs widely throughout the northern hemisphere such as in Canada, Eurasia, and northern Europe. In this work, the anthocyanins of crowberries were analyzed from four geographically distinct crowberry populations in Finland using HPLC-DAD and HPLC-ESI/MS/MS. A total number of 15 anthocyanins were detected; 15 (11 structure elucidated) in all samples in order to profile-specific anthocyanin compositions throughout Finland. The major anthocyanin found in the samples collected from central and eastern Finland was delphinidin 3-galactoside accounting for more than 24% of the total anthocyanin content, while the cyanidin 3-galactoside was the major anthocyanin in the northernmost and in the western samples. Significant variation in the concentrations of different anthocyanins between and within crowberry populations were found suggesting that the synthesis of anthocyanins is modified by site-specific environmental conditions. The suitability of the crowberries as a potential source of health-promoting ingredients for incorporation into pharmaceutical and food industrial products is highlighted in this work due to the diverse anthocyanin profile.


Subject(s)
Anthocyanins/chemistry , Ericaceae/chemistry , Fruit/chemistry , Plant Extracts/chemistry , Ericaceae/classification , Finland , Fruit/classification , Molecular Structure , Tandem Mass Spectrometry
2.
J Proteome Res ; 9(12): 6160-8, 2010 Dec 03.
Article in English | MEDLINE | ID: mdl-20968288

ABSTRACT

Comparative targeted compositional analysis is currently an important element in the safety assessment of genetically modified plants. Profiling methods have been suggested as nontargeted tools to improve the detection of possible unintended effects. In this study, the capability of 2-dimensional electrophoresis to detect significant differences among seven conventional maize (Zea mays) cultivars grown in six different locations in Germany during two consecutive seasons was evaluated. Besides maize genotype, both geographic location and season had a significant effect on protein profiles. Differences as high as 55- and 53-fold in the quantity of specific proteins were recorded, the median observed difference being around 6- and 5-fold between the genotypes and growing locations, respectively. Understanding the variation in the quantity of individual proteins should help to put the variation of endogenous proteins and the novel proteins in the genetically modified plants in perspective. This together with the targeted analyses the profiling methods, including proteomics, could also help to get a deeper insight into the unintended alterations that might have occurred during the genetic modification process.


Subject(s)
Plant Proteins/analysis , Proteome/analysis , Seeds/metabolism , Zea mays/metabolism , Electrophoresis, Gel, Two-Dimensional , Environment , Genotype , Geography , Germany , Mass Spectrometry , Proteomics/methods , Reproducibility of Results , Seasons , Seeds/genetics , Species Specificity , Zea mays/classification , Zea mays/genetics
3.
Plant Biotechnol J ; 8(4): 436-51, 2010 May 01.
Article in English | MEDLINE | ID: mdl-20132517

ABSTRACT

The aim of this study was to evaluate the use of four nontargeted analytical methodologies in the detection of unintended effects that could be derived during genetic manipulation of crops. Three profiling technologies were used to compare the transcriptome, proteome and metabolome of two transgenic maize lines with the respective control line. By comparing the profiles of the two transgenic lines grown in the same location over three growing seasons, we could determine the extent of environmental variation, while the comparison with the control maize line allowed the investigation of effects caused by a difference in genotype. The effect of growing conditions as an additional environmental effect was also evaluated by comparing the Bt-maize line with the control line from plants grown in three different locations in one growing season. The environment was shown to play an important effect in the protein, gene expression and metabolite levels of the maize samples tested where 5 proteins, 65 genes and 15 metabolites were found to be differentially expressed. A distinct separation between the three growing seasons was also found for all the samples grown in one location. Together, these environmental factors caused more variation in the different transcript/protein/metabolite profiles than the different genotypes.


Subject(s)
Gene Expression Profiling/methods , Metabolomics/methods , Proteomics/methods , Zea mays/genetics , Zea mays/metabolism , Chromatography, Gas , Electrophoresis, Gel, Two-Dimensional , Environment , Gene Expression Regulation, Plant , Genotype , Magnetic Resonance Spectroscopy , Mass Spectrometry , Metabolome/genetics , Oligonucleotide Array Sequence Analysis , Plant Proteins/chemistry , Plant Proteins/genetics , Plant Proteins/metabolism , Plants, Genetically Modified , Principal Component Analysis , Seasons , Zea mays/growth & development
4.
Phytochem Anal ; 20(5): 353-64, 2009.
Article in English | MEDLINE | ID: mdl-19425115

ABSTRACT

INTRODUCTION: Strawberry (Fragaria x ananassa) is rich in polyphenols, particularly anthocyanins, flavonols, condensed tannins and ellagic tannins. In addition to the fruits, the leaves of strawberry also contain a wide range of phenolic compound classes, but have not been investigated to the same extent as the fruit. OBJECTIVE: To characterise a metabolite group present in the leaves of strawberry, that was not amenable for identification based on earlier information available in the literature. METHODOLOGY: Methanolic extracts of strawberry leaves were analysed by UPLC-qTOF-MS/MS and iterative quantum mechanical NMR spectral analysis. RESULTS: The structures of phenylethanol derivatives of phenylpropanoid glucosides Eutigoside A ( F4) and its two isomeric forms 2-(4-hydroxyphenyl)ethyl-[6-O-(Z)-coumaroyl]-beta-D-glucopyranoside (F6) and 4-(2-hydroxyethyl)phenyl-[6-O-(E)-coumaroyl]-beta-D-glucopyranoside (F1) were resolved by NMR and UPLC-qTOF-MS/MS. In addition, two other derivatives of phenylpropanoid glucosides similar to Eutigoside A but possessing different phenolic acid moieties, namely Grayanoside A ( F5) and 2-(4-hydroxyphenyl)ethyl-[6-O-(E)-caffeoyl]-beta-D-glucopyranoside (F14), were similarly identified. Also, accurate characteristic coupling constants for the subunits are reported and their usefulness in structural analysis is highlighted. CONCLUSION: Chemical analysis of the leaves of strawberry (Fragaria x ananassa cv. Jonsok) resulted in the identification of a compound class, phenylethanol derivatives of phenylpropanoid glycosides, not previously found in strawberry.


Subject(s)
Caffeic Acids/chemistry , Coumarins/analysis , Coumarins/chemistry , Fragaria/chemistry , Glucosides/analysis , Magnetic Resonance Spectroscopy/methods , Phenylethyl Alcohol/analysis , Plant Leaves/chemistry , Spectrometry, Mass, Electrospray Ionization/methods , Chromatography, High Pressure Liquid/methods , Glucosides/chemistry , Methanol/chemistry , Phenols/chemistry , Phenylethyl Alcohol/chemistry , Plant Extracts/analysis , Plant Extracts/chemistry , Propanols/chemistry
5.
J Agric Food Chem ; 54(20): 7530-8, 2006 Oct 04.
Article in English | MEDLINE | ID: mdl-17002418

ABSTRACT

Black currants (Ribes nigrum L.) contain a diverse range of phenolics and possess a high antioxidant activity, which makes them an interesting target for the functional food industry. In this study, phenolic profiles of organically and conventionally grown black currant fruits, collected from commercial farms within a climatically similar area, were compared. Compounds were identified using UV/vis and mass spectroscopy techniques and quantified with high-performance liquid chromatography equipped with UV/vis detection. Several different conjugates of hydroxycinnamic acids, flavonols, and anthocyanins were quantified. Statistically significant differences between farms were found for almost all compounds. Differences between the highest and the lowest measured values of major phenolic compounds of different phenolic classes ranged from 24 to 77%. Principal component analysis quite effectively separated farms from each other but did not cluster them according to cultivation technique. Thus, it was concluded that the biochemical quality of organically grown black currant fruits does not differ from those grown conventionally.


Subject(s)
Chromatography, High Pressure Liquid , Food, Organic , Fruit/chemistry , Ribes/chemistry , Ribes/growth & development , Anthocyanins/analysis , Coumaric Acids/analysis , Flavonols/analysis
6.
J Agric Food Chem ; 54(7): 2614-20, 2006 Apr 05.
Article in English | MEDLINE | ID: mdl-16569052

ABSTRACT

The influence of agricultural practices (fertilization, mulch color, early forcing, and planting date), environment (light and growing area), cultivar, and fruit order on the selected phenolic content and antioxidant activity in strawberry (Fragaria x ananassa Duch.) fruits was studied. Three different levels of fertilization were given to plants in the fertilization experiment. The lowest fertilization level increased the contents of flavonols and ellagic acid from 19 to 57%. Between cultivars, up to 4-fold differences were found in the flavonol content, and it also varied according to growing environment. Planting date in glasshouse production was important for the phenolic content, and a statistically significant interaction was found between planting date and fruit order. Fruit order caused at highest 1.5-2.0-fold differences in the contents of phenolics. Interestingly, compared with other phenolics, anthocyanins were affected differently by many factors. Thus, the findings show that minor cultivation changes can increase the content of phenolics, especially in under-glass production where conditions can be easily manipulated.


Subject(s)
Agriculture/methods , Fertilizers , Fragaria/chemistry , Fruit/chemistry , Genotype , Phenols/analysis , Ellagic Acid/analysis , Environment , Flavonols/analysis , Fragaria/genetics , Fragaria/growth & development , Time Factors
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