Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes
The chemical composition of grape berries is varietal dependent and influenced by the environment and viticulture practices. In Muscat grapes, phenolic compounds play a significant role in the organoleptic property of the wine. In the present study, we investigated the chemical diversity of berries...
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Veröffentlicht in: | Plant physiology and biochemistry 2015-01, Vol.86, p.24-33 |
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creator | Degu, Asfaw Morcia, Caterina Tumino, Giorgio Hochberg, Uri Toubiana, David Mattivi, Fulvio Schneider, Anna Bosca, Polina Cattivelli, Luigi Terzi, Valeria Fait, Aaron |
description | The chemical composition of grape berries is varietal dependent and influenced by the environment and viticulture practices. In Muscat grapes, phenolic compounds play a significant role in the organoleptic property of the wine. In the present study, we investigated the chemical diversity of berries in a Muscat collection. Metabolite profiling was performed on 18 Moscato bianco clones and 43 different red and white grape varieties of Muscat using ultra-performance liquid chromatography–quadrupole time of flight–mass spectrometry (UPLC-QTOF-MS/MS) coupled with SNP genotyping. Principle component analysis and hierarchical clustering showed a separation of the genotypes into six main groups, three red and three white. Anthocyanins mainly explained the variance between the different groups. Additionally, within the white varieties mainly flavonols and flavanols contributed to the chemical diversity identified. A genotype-specific rootstock effect was identified when separately analyzing the skin of the clones, and it was attributed mainly to resveratrol, quercetin 3-O-galactoside, citrate and malate.
The metabolite profile of the varieties investigated reveals the chemical diversity existing among different groups of Muscat genotypes. The distribution pattern of metabolites among the groups dictates the abundance of precursors and intermediate metabolite classes, which contribute to the organoleptic properties of Muscat berries.
•LC-MS based profiling revealed metabolite diversity in the Muscat grape collection.•The kind and forms of flavonoids defined the varietal affiliation.•White genotypes possess higher flavonol and flavanols as compared with the red. |
doi_str_mv | 10.1016/j.plaphy.2014.11.006 |
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The metabolite profile of the varieties investigated reveals the chemical diversity existing among different groups of Muscat genotypes. The distribution pattern of metabolites among the groups dictates the abundance of precursors and intermediate metabolite classes, which contribute to the organoleptic properties of Muscat berries.
•LC-MS based profiling revealed metabolite diversity in the Muscat grape collection.•The kind and forms of flavonoids defined the varietal affiliation.•White genotypes possess higher flavonol and flavanols as compared with the red.</description><identifier>ISSN: 0981-9428</identifier><identifier>EISSN: 1873-2690</identifier><identifier>DOI: 10.1016/j.plaphy.2014.11.006</identifier><identifier>PMID: 25461697</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Anthocyanins - metabolism ; Biosynthetic Pathways ; Chromatography, High Pressure Liquid ; Citric Acid - metabolism ; Cluster Analysis ; Flavonoids ; Flavonols - metabolism ; Genotype ; Grapevine ; Malates - metabolism ; Mass Spectrometry - methods ; Metabolite-profiling ; Metabolome ; Metabolomics - classification ; Metabolomics - methods ; Muscat ; Phylogeny ; Polymorphism, Single Nucleotide ; Polyphenols - metabolism ; Principal Component Analysis ; Quercetin - analogs & derivatives ; Quercetin - metabolism ; Species Specificity ; Stilbenes - metabolism ; Vitis - classification ; Vitis - genetics ; Vitis - metabolism</subject><ispartof>Plant physiology and biochemistry, 2015-01, Vol.86, p.24-33</ispartof><rights>2014 Elsevier Masson SAS</rights><rights>Copyright © 2014 Elsevier Masson SAS. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-65bf424dcc76ea33704a3cfac082304902d20cfbc4913b3cddd98d57c3f15d4f3</citedby><cites>FETCH-LOGICAL-c432t-65bf424dcc76ea33704a3cfac082304902d20cfbc4913b3cddd98d57c3f15d4f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.plaphy.2014.11.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25461697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Degu, Asfaw</creatorcontrib><creatorcontrib>Morcia, Caterina</creatorcontrib><creatorcontrib>Tumino, Giorgio</creatorcontrib><creatorcontrib>Hochberg, Uri</creatorcontrib><creatorcontrib>Toubiana, David</creatorcontrib><creatorcontrib>Mattivi, Fulvio</creatorcontrib><creatorcontrib>Schneider, Anna</creatorcontrib><creatorcontrib>Bosca, Polina</creatorcontrib><creatorcontrib>Cattivelli, Luigi</creatorcontrib><creatorcontrib>Terzi, Valeria</creatorcontrib><creatorcontrib>Fait, Aaron</creatorcontrib><title>Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes</title><title>Plant physiology and biochemistry</title><addtitle>Plant Physiol Biochem</addtitle><description>The chemical composition of grape berries is varietal dependent and influenced by the environment and viticulture practices. In Muscat grapes, phenolic compounds play a significant role in the organoleptic property of the wine. In the present study, we investigated the chemical diversity of berries in a Muscat collection. Metabolite profiling was performed on 18 Moscato bianco clones and 43 different red and white grape varieties of Muscat using ultra-performance liquid chromatography–quadrupole time of flight–mass spectrometry (UPLC-QTOF-MS/MS) coupled with SNP genotyping. Principle component analysis and hierarchical clustering showed a separation of the genotypes into six main groups, three red and three white. Anthocyanins mainly explained the variance between the different groups. Additionally, within the white varieties mainly flavonols and flavanols contributed to the chemical diversity identified. A genotype-specific rootstock effect was identified when separately analyzing the skin of the clones, and it was attributed mainly to resveratrol, quercetin 3-O-galactoside, citrate and malate.
The metabolite profile of the varieties investigated reveals the chemical diversity existing among different groups of Muscat genotypes. The distribution pattern of metabolites among the groups dictates the abundance of precursors and intermediate metabolite classes, which contribute to the organoleptic properties of Muscat berries.
•LC-MS based profiling revealed metabolite diversity in the Muscat grape collection.•The kind and forms of flavonoids defined the varietal affiliation.•White genotypes possess higher flavonol and flavanols as compared with the red.</description><subject>Anthocyanins - metabolism</subject><subject>Biosynthetic Pathways</subject><subject>Chromatography, High Pressure Liquid</subject><subject>Citric Acid - metabolism</subject><subject>Cluster Analysis</subject><subject>Flavonoids</subject><subject>Flavonols - metabolism</subject><subject>Genotype</subject><subject>Grapevine</subject><subject>Malates - metabolism</subject><subject>Mass Spectrometry - methods</subject><subject>Metabolite-profiling</subject><subject>Metabolome</subject><subject>Metabolomics - classification</subject><subject>Metabolomics - methods</subject><subject>Muscat</subject><subject>Phylogeny</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Polyphenols - metabolism</subject><subject>Principal Component Analysis</subject><subject>Quercetin - analogs & derivatives</subject><subject>Quercetin - metabolism</subject><subject>Species Specificity</subject><subject>Stilbenes - metabolism</subject><subject>Vitis - classification</subject><subject>Vitis - genetics</subject><subject>Vitis - metabolism</subject><issn>0981-9428</issn><issn>1873-2690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1TAQhS1ERW8Lb4CQl2wS_HedZIOEqpYiteoG1pZjjxtfOXGIHao8Aa9dX25hyWo0o-_M0cxB6D0lNSVUfjrUc9DzsNWMUFFTWhMiX6EdbRteMdmR12hHupZWnWDtObpI6UAIYaLhb9A52wtJZdfs0O97yLqPwWfA8xKdD356xBBW463OkLCJ47hOugC-dHqy2HrnYIHJlN5POA9FGcM2DzDFgHsf0zaVYfYGzzoPT3pLODq8gP0jfxqOXvdrMjrjx6LJ2wzpLTpzOiR491Iv0Y-b6-9Xt9Xdw9dvV1_uKiM4y5Xc904wYY1pJGjOGyI0N04b0jJOREeYZcS43oiO8p4ba23X2n1juKN7Kxy_RB9Pe8uxP1dIWY0-GQhBTxDXpKgUTBLJW1lQcULNElNawKl58aNeNkWJOkagDuoUgTpGoChVJYIi-_DisPYj2H-ivz8vwOcTAOXOXx4WlYw_vtP6BUxWNvr_OzwDFwOd1Q</recordid><startdate>201501</startdate><enddate>201501</enddate><creator>Degu, Asfaw</creator><creator>Morcia, Caterina</creator><creator>Tumino, Giorgio</creator><creator>Hochberg, Uri</creator><creator>Toubiana, David</creator><creator>Mattivi, Fulvio</creator><creator>Schneider, Anna</creator><creator>Bosca, Polina</creator><creator>Cattivelli, Luigi</creator><creator>Terzi, Valeria</creator><creator>Fait, Aaron</creator><general>Elsevier Masson SAS</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201501</creationdate><title>Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes</title><author>Degu, Asfaw ; Morcia, Caterina ; Tumino, Giorgio ; Hochberg, Uri ; Toubiana, David ; Mattivi, Fulvio ; Schneider, Anna ; Bosca, Polina ; Cattivelli, Luigi ; Terzi, Valeria ; Fait, Aaron</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-65bf424dcc76ea33704a3cfac082304902d20cfbc4913b3cddd98d57c3f15d4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Anthocyanins - metabolism</topic><topic>Biosynthetic Pathways</topic><topic>Chromatography, High Pressure Liquid</topic><topic>Citric Acid - metabolism</topic><topic>Cluster Analysis</topic><topic>Flavonoids</topic><topic>Flavonols - metabolism</topic><topic>Genotype</topic><topic>Grapevine</topic><topic>Malates - metabolism</topic><topic>Mass Spectrometry - methods</topic><topic>Metabolite-profiling</topic><topic>Metabolome</topic><topic>Metabolomics - classification</topic><topic>Metabolomics - methods</topic><topic>Muscat</topic><topic>Phylogeny</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Polyphenols - metabolism</topic><topic>Principal Component Analysis</topic><topic>Quercetin - analogs & derivatives</topic><topic>Quercetin - metabolism</topic><topic>Species Specificity</topic><topic>Stilbenes - metabolism</topic><topic>Vitis - classification</topic><topic>Vitis - genetics</topic><topic>Vitis - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Degu, Asfaw</creatorcontrib><creatorcontrib>Morcia, Caterina</creatorcontrib><creatorcontrib>Tumino, Giorgio</creatorcontrib><creatorcontrib>Hochberg, Uri</creatorcontrib><creatorcontrib>Toubiana, David</creatorcontrib><creatorcontrib>Mattivi, Fulvio</creatorcontrib><creatorcontrib>Schneider, Anna</creatorcontrib><creatorcontrib>Bosca, Polina</creatorcontrib><creatorcontrib>Cattivelli, Luigi</creatorcontrib><creatorcontrib>Terzi, Valeria</creatorcontrib><creatorcontrib>Fait, Aaron</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Plant physiology and biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Degu, Asfaw</au><au>Morcia, Caterina</au><au>Tumino, Giorgio</au><au>Hochberg, Uri</au><au>Toubiana, David</au><au>Mattivi, Fulvio</au><au>Schneider, Anna</au><au>Bosca, Polina</au><au>Cattivelli, Luigi</au><au>Terzi, Valeria</au><au>Fait, Aaron</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes</atitle><jtitle>Plant physiology and biochemistry</jtitle><addtitle>Plant Physiol Biochem</addtitle><date>2015-01</date><risdate>2015</risdate><volume>86</volume><spage>24</spage><epage>33</epage><pages>24-33</pages><issn>0981-9428</issn><eissn>1873-2690</eissn><abstract>The chemical composition of grape berries is varietal dependent and influenced by the environment and viticulture practices. In Muscat grapes, phenolic compounds play a significant role in the organoleptic property of the wine. In the present study, we investigated the chemical diversity of berries in a Muscat collection. Metabolite profiling was performed on 18 Moscato bianco clones and 43 different red and white grape varieties of Muscat using ultra-performance liquid chromatography–quadrupole time of flight–mass spectrometry (UPLC-QTOF-MS/MS) coupled with SNP genotyping. Principle component analysis and hierarchical clustering showed a separation of the genotypes into six main groups, three red and three white. Anthocyanins mainly explained the variance between the different groups. Additionally, within the white varieties mainly flavonols and flavanols contributed to the chemical diversity identified. A genotype-specific rootstock effect was identified when separately analyzing the skin of the clones, and it was attributed mainly to resveratrol, quercetin 3-O-galactoside, citrate and malate.
The metabolite profile of the varieties investigated reveals the chemical diversity existing among different groups of Muscat genotypes. The distribution pattern of metabolites among the groups dictates the abundance of precursors and intermediate metabolite classes, which contribute to the organoleptic properties of Muscat berries.
•LC-MS based profiling revealed metabolite diversity in the Muscat grape collection.•The kind and forms of flavonoids defined the varietal affiliation.•White genotypes possess higher flavonol and flavanols as compared with the red.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>25461697</pmid><doi>10.1016/j.plaphy.2014.11.006</doi><tpages>10</tpages></addata></record> |
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subjects | Anthocyanins - metabolism Biosynthetic Pathways Chromatography, High Pressure Liquid Citric Acid - metabolism Cluster Analysis Flavonoids Flavonols - metabolism Genotype Grapevine Malates - metabolism Mass Spectrometry - methods Metabolite-profiling Metabolome Metabolomics - classification Metabolomics - methods Muscat Phylogeny Polymorphism, Single Nucleotide Polyphenols - metabolism Principal Component Analysis Quercetin - analogs & derivatives Quercetin - metabolism Species Specificity Stilbenes - metabolism Vitis - classification Vitis - genetics Vitis - metabolism |
title | Metabolite profiling elucidates communalities and differences in the polyphenol biosynthetic pathways of red and white Muscat genotypes |
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