A non-targeted approach unravels the volatile network in peach fruit

Volatile compounds represent an important part of the plant metabolome and are of particular agronomic and biological interest due to their contribution to fruit aroma and flavor and therefore to fruit quality. By using a non-targeted approach based on HS-SPME-GC-MS, the volatile-compound complement...

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Main Authors: Sanchez, Gerardo, Besada, Cristina, Badenes, María Luisa, Monforte, Antonio José, Granell, Antonio
Format: Artículo
Language:Inglés
Published: 2019
Subjects:
Online Access:https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0038992
http://hdl.handle.net/20.500.12123/5316
https://doi.org/10.1371/journal.pone.0038992
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author Sanchez, Gerardo
Besada, Cristina
Badenes, María Luisa
Monforte, Antonio José
Granell, Antonio
author_browse Badenes, María Luisa
Besada, Cristina
Granell, Antonio
Monforte, Antonio José
Sanchez, Gerardo
author_facet Sanchez, Gerardo
Besada, Cristina
Badenes, María Luisa
Monforte, Antonio José
Granell, Antonio
author_sort Sanchez, Gerardo
collection INTA Digital
description Volatile compounds represent an important part of the plant metabolome and are of particular agronomic and biological interest due to their contribution to fruit aroma and flavor and therefore to fruit quality. By using a non-targeted approach based on HS-SPME-GC-MS, the volatile-compound complement of peach fruit was described. A total of 110 volatile compounds (including alcohols, ketones, aldehydes, esters, lactones, carboxylic acids, phenolics and terpenoids) were identified and quantified in peach fruit samples from different genetic backgrounds, locations, maturity stages and physiological responses. By using a combination of hierarchical cluster analysis and metabolomic correlation network analysis we found that previously known peach fruit volatiles are clustered according to their chemical nature or known biosynthetic pathways. Moreover, novel volatiles that had not yet been described in peach were identified and assigned to co-regulated groups. In addition, our analyses showed that most of the co-regulated groups showed good intergroup correlations that are therefore consistent with the existence of a higher level of regulation orchestrating volatile production under different conditions and/or developmental stages. In addition, this volatile network of interactions provides the ground information for future biochemical studies as well as a useful route map for breeding or biotechnological purposes.
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spelling INTA53162019-06-14T11:21:49Z A non-targeted approach unravels the volatile network in peach fruit Sanchez, Gerardo Besada, Cristina Badenes, María Luisa Monforte, Antonio José Granell, Antonio Durazno Compuesto Volátil Biosíntesis Metabolitos Identificación Peaches Volatile Compound Biosythesis Metabolites Identification Redes Metabolómicas Metabolomic Networks Volatile compounds represent an important part of the plant metabolome and are of particular agronomic and biological interest due to their contribution to fruit aroma and flavor and therefore to fruit quality. By using a non-targeted approach based on HS-SPME-GC-MS, the volatile-compound complement of peach fruit was described. A total of 110 volatile compounds (including alcohols, ketones, aldehydes, esters, lactones, carboxylic acids, phenolics and terpenoids) were identified and quantified in peach fruit samples from different genetic backgrounds, locations, maturity stages and physiological responses. By using a combination of hierarchical cluster analysis and metabolomic correlation network analysis we found that previously known peach fruit volatiles are clustered according to their chemical nature or known biosynthetic pathways. Moreover, novel volatiles that had not yet been described in peach were identified and assigned to co-regulated groups. In addition, our analyses showed that most of the co-regulated groups showed good intergroup correlations that are therefore consistent with the existence of a higher level of regulation orchestrating volatile production under different conditions and/or developmental stages. In addition, this volatile network of interactions provides the ground information for future biochemical studies as well as a useful route map for breeding or biotechnological purposes. EEA San Pedro Fil: Sánchez, Gerardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Pedro; Argentina. Consejo Superior de Investigaciones Cientificas. Universidad Politécnica de Valencia. Instituto de Biología Molecular y Celular de Plantas; España Fil: Besada, Cristina. Consejo Superior de Investigaciones Cientificas. Universidad Politécnica de Valencia. Instituto de Biología Molecular y Celular de Plantas; España Fil: Badenes, María Luisa. Instituto Valenciano de Investigaciones Agrarias; España Fil: Monforte, Antonio José. Consejo Superior de Investigaciones Cientificas. Universidad Politécnica de Valencia. Instituto de Biología Molecular y Celular de Plantas; España Fil: Granell, Antonio. Consejo Superior de Investigaciones Cientificas. Universidad Politécnica de Valencia. Instituto de Biología Molecular y Celular de Plantas; España 2019-06-14T11:18:07Z 2019-06-14T11:18:07Z 2012 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0038992 http://hdl.handle.net/20.500.12123/5316 1932-6203 https://doi.org/10.1371/journal.pone.0038992 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf PLoS ONE 7 (6) : e38992 (2012)
spellingShingle Durazno
Compuesto Volátil
Biosíntesis
Metabolitos
Identificación
Peaches
Volatile Compound
Biosythesis
Metabolites
Identification
Redes Metabolómicas
Metabolomic Networks
Sanchez, Gerardo
Besada, Cristina
Badenes, María Luisa
Monforte, Antonio José
Granell, Antonio
A non-targeted approach unravels the volatile network in peach fruit
title A non-targeted approach unravels the volatile network in peach fruit
title_full A non-targeted approach unravels the volatile network in peach fruit
title_fullStr A non-targeted approach unravels the volatile network in peach fruit
title_full_unstemmed A non-targeted approach unravels the volatile network in peach fruit
title_short A non-targeted approach unravels the volatile network in peach fruit
title_sort non targeted approach unravels the volatile network in peach fruit
topic Durazno
Compuesto Volátil
Biosíntesis
Metabolitos
Identificación
Peaches
Volatile Compound
Biosythesis
Metabolites
Identification
Redes Metabolómicas
Metabolomic Networks
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0038992
http://hdl.handle.net/20.500.12123/5316
https://doi.org/10.1371/journal.pone.0038992
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