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      Screening the Citrus Greek National Germplasm Collection for fruit quality and metabolic footprint.

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          Abstract

          Citrus fruits are one of the most important fruits in the global food industry due to their unique taste and nutritional benefits. Herein, we characterize the physicochemical and bioactive attributes of twenty-nine Greek citrus accessions, including oranges, mandarins/clementines, lemons, bergamot, citrons and lime along with twenty-seven highly commercial international cultivars. The assessed genotypes differ in various quality traits including color, ripening, and textural attributes. Several indigenous cultivars displayed desirable organoleptic traits, such as the oranges 'Valencia Oval Porou' (e.g., juice content and ascorbic acid) and 'Sanguine Gouritis' (eg., soluble solids (SSC) and acidity (TA) ratio), the mandarin 'Clementine Porou' (e.g., SSC/TA) and the lemon 'Vakalou' (e.g., firmness, acidity). Differences in primary metabolites, mainly in sugars, organic acids and amino acids were recorded among the tested species and cultivars. In addition, the autochthonous orange cultivars 'Sanguine Gouritsis' and 'Valencia Oval Porou' contained high sucrose levels whereas 'Lainato Chanion' had high hesperidin content. This large-scale analysis supports the ample availability of genetic resources for the development of citrus cultivars with improved nutritional quality traits.

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          Most cited references41

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          Is Open Access

          ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap

          The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot. Although widely used, the method is lacking an easy-to-use web interface that scientists with little programming skills could use to make plots of their own data. The same applies to creating heatmaps: it is possible to add conditional formatting for Excel cells to show colored heatmaps, but for more advanced features such as clustering and experimental annotations, more sophisticated analysis tools have to be used. We present a web tool called ClustVis that aims to have an intuitive user interface. Users can upload data from a simple delimited text file that can be created in a spreadsheet program. It is possible to modify data processing methods and the final appearance of the PCA and heatmap plots by using drop-down menus, text boxes, sliders etc. Appropriate defaults are given to reduce the time needed by the user to specify input parameters. As an output, users can download PCA plot and heatmap in one of the preferred file formats. This web server is freely available at http://biit.cs.ut.ee/clustvis/.
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            Flavonoid composition of fruit tissues of citrus species.

            An HPLC analysis was performed on the concentrations of flavonoids in 42 species and cultivars of the Citrus genus and those of two Fortunella and one Poncirus species according to the classification system established by Tanaka. The composition of 8 flavanones and 9 flavone/ols for these species was determined in the albedo, flavedo, segment epidermis and juice vesicle tissues, and those in the fruit and peel tissues were calculated from the composition data of the tissues. A principal component analysis showed that such neohesperidosyl flavonoids as neoeriocitrin, naringin, neohesperidin, and rhoifolin had large factor loading values in the first principal component for each tissue. The flavonoid composition of citrus fruits was approximately the same within each section of Tanaka's system, except for the species in the Aurantium section and those with a peculiar flavonoid composition such as Bergamot (C. bergamia), Marsh grapefruit (C. paradisi), Sour orange (C. aurantium), and Shunkokan (C. shunkokan). The Aurantium section included both naringin-rich and hesperidin-rich species.
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              A versatile targeted metabolomics method for the rapid quantification of multiple classes of phenolics in fruits and beverages.

              Compelling evidence of the health benefits of phenolic compounds and their impact on food quality have stimulated the development of analytical methods for the identification and quantification of these compounds in different matrices in recent years. A targeted metabolomics method has been developed for the quantification of 135 phenolics, such as benzoates, phenylpropanoids, coumarins, stilbenes, dihydrochalcones, and flavonoids, in fruit and tea extracts and wine using UPLC/QqQ-MS/MS. Chromatography was optimized to achieve separation of the compounds over a period of 15 min, and MRM transitions were selected for accurate quantification. The method was validated by studying the detection and quantification limits, the linearity ranges, and the intraday and interday repeatability of the analysis. The validated method was applied to the analysis of apples, berries, green tea, and red wine, providing a valuable tool for food quality evaluation and breeding studies.
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                Author and article information

                Journal
                Food Chem
                Food chemistry
                Elsevier BV
                1873-7072
                0308-8146
                Mar 01 2024
                : 435
                Affiliations
                [1 ] Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece.
                [2 ] Intsitute of Olive Tree, Subtropical Plants and Viticulture, ELGO-DIMITRA, Chania 73134, Greece.
                [3 ] Institute of Plant Breeding and Genetic Resources, ELGO-DIMITRA, Thessaloniki 57001, Greece.
                [4 ] Institute of Soil and Water Resources, ELGO-DIMITRA, Thessaloniki 57001, Greece; Joint Laboratory of Horticulture, ELGO-Dimitra, Thessaloniki-Thermi 57001, Greece.
                [5 ] Institute of Plant Breeding and Genetic Resources, ELGO-DIMITRA, Thessaloniki 57001, Greece; Joint Laboratory of Horticulture, ELGO-Dimitra, Thessaloniki-Thermi 57001, Greece.
                [6 ] Centro Ricerca e Innovazione, Fondazione Edmund Mach, 38098, San Michele all'Adige, Trento, Italy.
                [7 ] Laboratory of Pomology, Department of Horticulture, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece. Electronic address: amolasio@agro.auth.gr.
                Article
                S0308-8146(23)02191-X
                10.1016/j.foodchem.2023.137573
                37769559
                f417b2f0-7d6f-4628-95d9-527bb4e5a39d
                History

                Indigenous cultivars,Citrus fruit,Carotenoids,Primary metabolites,Polyphenol,Metabolomics

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