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Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening

Uneven ripening in Vitis vinifera is increasingly recognized as a phenomenon of interest, with substantial implications for fruit and wine composition and quality. This study sought to determine whether variation late in ripening (∼Modified Eichhorn-Lorenz stage 39) was associated with developmental...

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Autores principales: Vondras, Amanda M., Commisso, Mauro, Guzzo, Flavia, Deluc, Laurent G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491620/
https://www.ncbi.nlm.nih.gov/pubmed/28713399
http://dx.doi.org/10.3389/fpls.2017.01108
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author Vondras, Amanda M.
Commisso, Mauro
Guzzo, Flavia
Deluc, Laurent G.
author_facet Vondras, Amanda M.
Commisso, Mauro
Guzzo, Flavia
Deluc, Laurent G.
author_sort Vondras, Amanda M.
collection PubMed
description Uneven ripening in Vitis vinifera is increasingly recognized as a phenomenon of interest, with substantial implications for fruit and wine composition and quality. This study sought to determine whether variation late in ripening (∼Modified Eichhorn-Lorenz stage 39) was associated with developmental differences that were observable as fruits within a cluster initiated ripening (véraison). Four developmentally distinct ripening classes of berries were tagged at cluster véraison, sampled at three times late in ripening, and subjected to untargeted HPLC-MS to measure variation in amino acids, sugars, organic acids, and phenolic metabolites in skin, pulp, and seed tissues separately. Variability was described using predominantly two strategies. In the first, multivariate analysis (Orthogonal Projections to Latent Structures-Discriminant Analysis, OPLS-DA) was used to determine whether fruits were still distinguishable per their developmental position at véraison and to identify which metabolites accounted for these distinctions. The same technique was used to assess changes in each tissue over time. In a second strategy and for each annotated metabolite, the variance across the ripening classes at each time point was measured to show whether intra-cluster variance (ICV) was growing, shrinking, or constant over the period observed. Indeed, berries could be segregated by OPLS-DA late in ripening based on their developmental position at véraison, though the four ripening classes were aggregated into two larger ripening groups. Further, not all tissues were dynamic over the period examined. Although pulp tissues could be segregated by time sampled, this was not true for seed and only moderately so for skin. Ripening group differences in seed and skin, rather than the time fruit was sampled, were better able to define berries. Metabolites also experienced significant reductions in ICV between single pairs of time points, but never across the entire experiment. Metabolites often exhibited a combination of ICV expansion, contraction and persistence. Finally, we observed significant differences in the abundance of some metabolites between ripening classes that suggest the berries that initiated ripening first remained developmentally ahead of the lagging fruit even late in the ripening phase. This presents a challenge to producers who would seek to harvest at uniformity or at a predefined level of variation.
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spelling pubmed-54916202017-07-14 Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening Vondras, Amanda M. Commisso, Mauro Guzzo, Flavia Deluc, Laurent G. Front Plant Sci Plant Science Uneven ripening in Vitis vinifera is increasingly recognized as a phenomenon of interest, with substantial implications for fruit and wine composition and quality. This study sought to determine whether variation late in ripening (∼Modified Eichhorn-Lorenz stage 39) was associated with developmental differences that were observable as fruits within a cluster initiated ripening (véraison). Four developmentally distinct ripening classes of berries were tagged at cluster véraison, sampled at three times late in ripening, and subjected to untargeted HPLC-MS to measure variation in amino acids, sugars, organic acids, and phenolic metabolites in skin, pulp, and seed tissues separately. Variability was described using predominantly two strategies. In the first, multivariate analysis (Orthogonal Projections to Latent Structures-Discriminant Analysis, OPLS-DA) was used to determine whether fruits were still distinguishable per their developmental position at véraison and to identify which metabolites accounted for these distinctions. The same technique was used to assess changes in each tissue over time. In a second strategy and for each annotated metabolite, the variance across the ripening classes at each time point was measured to show whether intra-cluster variance (ICV) was growing, shrinking, or constant over the period observed. Indeed, berries could be segregated by OPLS-DA late in ripening based on their developmental position at véraison, though the four ripening classes were aggregated into two larger ripening groups. Further, not all tissues were dynamic over the period examined. Although pulp tissues could be segregated by time sampled, this was not true for seed and only moderately so for skin. Ripening group differences in seed and skin, rather than the time fruit was sampled, were better able to define berries. Metabolites also experienced significant reductions in ICV between single pairs of time points, but never across the entire experiment. Metabolites often exhibited a combination of ICV expansion, contraction and persistence. Finally, we observed significant differences in the abundance of some metabolites between ripening classes that suggest the berries that initiated ripening first remained developmentally ahead of the lagging fruit even late in the ripening phase. This presents a challenge to producers who would seek to harvest at uniformity or at a predefined level of variation. Frontiers Media S.A. 2017-06-30 /pmc/articles/PMC5491620/ /pubmed/28713399 http://dx.doi.org/10.3389/fpls.2017.01108 Text en Copyright © 2017 Vondras, Commisso, Guzzo and Deluc. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Plant Science
Vondras, Amanda M.
Commisso, Mauro
Guzzo, Flavia
Deluc, Laurent G.
Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title_full Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title_fullStr Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title_full_unstemmed Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title_short Metabolite Profiling Reveals Developmental Inequalities in Pinot Noir Berry Tissues Late in Ripening
title_sort metabolite profiling reveals developmental inequalities in pinot noir berry tissues late in ripening
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491620/
https://www.ncbi.nlm.nih.gov/pubmed/28713399
http://dx.doi.org/10.3389/fpls.2017.01108
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