Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Sanchez G

PROVIDER: S-EPMC3382205 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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

Sánchez Gerardo G Besada Cristina C Badenes María Luisa ML Monforte Antonio José AJ Granell Antonio A

PloS one 20120622 6

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 i ...[more]

PMID: 22761719

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Project description:The aim of this study was to elucidate the potential use of microarray technology, developed in model species, in related, yet phenotypically distinct, species where few or no information are available. Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species we employed the first available peach oligonucleotide microarray (µPEACH 1.0) for studying the transcrptomic profile during apricot fruit development (Prunus armeniaca L., cv. 'Goldrich'). Fruit material was harvested at three distinct stages, corresponding to immature-green stage (6 weeks before fully-ripe stage), mature-firm-ripe stage (change of peel color, 1 week before fully-ripe stage) and at fully-ripe stage and designated as S1, S2 and S3 stages, respectively. Apricot targets cDNA, when applied the µPEACH1.0, were showing significant hybridization with an average of 43% of spotted targets validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit during development and ripening. Microarray analysis carried out on immature and ripe peach and apricot fruit separately pointed out that 70% of genes differentially expressed was detectable the same pattern of expression in both species. This result indicates that the transcriptome of immature and ripe fruit are quite similar in apricot and peach, but also highlighted the presence of transcript changes specie-specific. When μPEACH1.0 was used to profile apricot developing fruit were identified 400 and 74 genes differetially expressed during the transition from S1 to S2 stage and from S2 to S3 stage, respectively. Intriguingly, a considerable number of auxin action regulators (AUX/IAA) and of genes coding heat shock proteins (hsp) were highly up-regulated at the onset and late of ripening phase, respectively.The comparison between the expression profiles of these apricot genes and their peach hortologues showed a similar pattern for AUX/IAA and quite different for hsps. This result suggests a similar role for AUX/IAA in both species and a more important involvement for hsps in the apricot fruit ripening.

Project description:BackgroundFruit quality traits have a significant effect on consumer acceptance and subsequently on peach (Prunus persica (L.) Batsch) consumption. Determining the genetic bases of key fruit quality traits is essential for the industry to improve fruit quality and increase consumption. Pedigree-based analysis across multiple peach pedigrees can identify the genomic basis of complex traits for direct implementation in marker-assisted selection. This strategy provides breeders with better-informed decisions and improves selection efficiency and, subsequently, saves resources and time.ResultsPhenotypic data of seven F1 low to medium chill full-sib families were collected over 2 years at two locations and genotyped using the 9?K SNP Illumina array. One major QTL for fruit blush was found on linkage group 4 (LG4) at 40-46?cM that explained from 20 to 32% of the total phenotypic variance and showed three QTL alleles of different effects. For soluble solids concentration (SSC), one QTL was mapped on LG5 at 60-72?cM and explained from 17 to 39% of the phenotypic variance. A major QTL for titratable acidity (TA) co-localized with the major locus for low-acid fruit (D-locus). It was mapped at the proximal end of LG5 and explained 35 to 80% of the phenotypic variance. The new QTL for TA on the distal end of LG5 explained 14 to 22% of the phenotypic variance. This QTL co-localized with the QTL for SSC and affected TA only when the first QTL is homozygous for high acidity (epistasis). Haplotype analyses revealed SNP haplotypes and predictive SNP marker(s) associated with desired QTL alleles.ConclusionsA multi-family-based QTL discovery approach enhanced the ability to discover a new TA QTL at the distal end of LG5 and validated other QTLs which were reported in previous studies. Haplotype characterization of the mapped QTLs distinguishes this work from the previous QTL studies. Identified predictive SNPs and their original sources will facilitate the selection of parents and/or seedlings that have desired QTL alleles. Our findings will help peach breeders develop new predictive, DNA-based molecular marker tests for routine use in marker-assisted breeding.

Dataset Information

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

Publications

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

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