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      Leaf polyphenol profile and SSR-based fingerprinting of new segregant Cynara cardunculus genotypes

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          Abstract

          The dietary value of many plant polyphenols lies in the protection given against degenerative pathologies. Their in planta role is associated with the host's defense response against biotic and abiotic stress. The polyphenol content of a given plant tissue is strongly influenced by the growing environment, but is also genetically determined. Plants belonging to the Cynara cardunculus species (globe artichoke and the cultivated and wild cardoon) accumulate substantial quantities of polyphenols mainly mono and di-caffeoylquinic acid (CQA) in their foliage. Transgressive segregation for CQA content in an F 1 population bred from a cross between a globe artichoke and a cultivated cardoon led to the selection of eight segregants which accumulated more CQA in their leaves than did those of either of their parental genotypes. The selections were grown over two seasons to assess their polyphenol profile (CQAs, apigenin and luteolin derivatives and narirutin), and were also fingerprinted using a set of 217 microsatellite markers. The growing environment exerted a strong effect on polyphenol content, but two of the selections were able to accumulate up to an order of magnitude more CQA than either parent in both growing seasons. Since the species is readily vegetatively propagable, such genotypes can be straightforwardly exploited as a source of pharmaceutically valuable compounds, while their SSR-based fingerprinting will allow the genetic identity of clonally propagated material to be easily verified.

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          Most cited references47

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          genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

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            Polyphenols: chemistry, dietary sources, metabolism, and nutritional significance.

            Polyphenols constitute one of the most numerous and ubiquitous groups of plant metabolites and are an integral part of both human and animal diets. Ranging from simple phenolic molecules to highly polymerized compounds with molecular weights of greater than 30,000 Da, the occurrence of this complex group of substances in plant foods is extremely variable. Polyphenols traditionally have been considered antinutrients by animal nutritionists, because of the adverse effect of tannins, one type of polyphenol, on protein digestibility. However, recent interest in food phenolics has increased greatly, owing to their antioxidant capacity (free radical scavenging and metal chelating activities) and their possible beneficial implications in human health, such as in the treatment and prevention of cancer, cardiovascular disease, and other pathologies. Much of the literature refers to a single group of plant phenolics, the flavonoids. This review offers an overview of the nutritional effects of the main groups of polyphenolic compounds, including their metabolism, effects on nutrient bioavailability, and antioxidant activity, as well as a brief description of the chemistry of polyphenols and their occurrence in plant foods.
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              Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure.

              Population genetic theory predicts that plant populations will exhibit internal spatial autocorrelation when propagule flow is restricted, but as an empirical reality, spatial structure is rarely consistent across loci or sites, and is generally weak. A lack of sensitivity in the statistical procedures may explain the discrepancy. Most work to date, based on allozymes, has involved pattern analysis for individual alleles, but new PCR-based genetic markers are coming into vogue, with vastly increased numbers of alleles. The field is badly in need of an explicitly multivariate approach to autocorrelation analysis, and our purpose here is to introduce a new approach that is applicable to multiallelic codominant, multilocus arrays. The procedure treats the genetic data set as a whole, strengthening the spatial signal and reducing the stochastic (allele-to-allele, and locus-to-locus) noise. We (i) develop a very general multivariate method, based on genetic distance methods, (ii) illustrate it for multiallelic codominant loci, and (iii) provide nonparametric permutational testing procedures for the full correlogram. We illustrate the new method with an example data set from the orchid Caladenia tentaculata, for which we show (iv) how the multivariate treatment compares with the single-allele treatment, (v) that intermediate frequency alleles from highly polymorphic loci perform well and rare alleles poorly, (vi) that a multilocus treatment provides clearer answers than separate single-locus treatments, and (vii) that weighting alleles differentially improves our resolution minimally. The results, though specific to Caladenia, offer encouragement for wider application.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                21 January 2015
                2014
                : 5
                : 800
                Affiliations
                [1] 1Dipartimento di Agricoltura, Alimentazione e Ambiente Università degli Studi di Catania Catania, Italy
                [2] 2Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino Grugliasco, Italy
                Author notes

                Edited by: Jaime Prohens, Universitat Politècnica de València, Spain

                Reviewed by: Margherita Irene Beruto, Istituto Regionale per la Floricoltura, Italy; Pietro Gramazio, COMAV- Instituo de Conservación y Mejora de la Agrodiversidad Valenciana, Spain

                *Correspondence: Andrea Moglia, Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy e-mail: andrea.moglia@ 123456unito.it

                This article was submitted to Crop Science and Horticulture, a section of the journal Frontiers in Plant Science.

                Article
                10.3389/fpls.2014.00800
                4300902
                ba4d0be6-43a0-4582-ac6e-9b6f31bf9ca9
                Copyright © 2015 Pandino, Lombardo, Moglia, Portis, Lanteri and Mauromicale.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 05 November 2014
                : 22 December 2014
                Page count
                Figures: 4, Tables: 7, Equations: 0, References: 59, Pages: 10, Words: 7176
                Categories
                Plant Science
                Original Research Article

                Plant science & Botany
                cynara cardunculus,genotype,growing season,ssrs analysis,caffeoylquinic acids,flavones

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