Metabolomics Approach to Studying Minimally Processed Peach (Prunus Persica) Fruit

Tosetti, Roberta; Martinelli, Federico; Tonutti, Pietro

doi:10.17660/actahortic.2012.934.135

Cited by 28 publications

(17 citation statements)

References 8 publications

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“…http://dx.doi.org/10.1016/j.scienta.2013.04.039 levels existing in cells and tissues. Metabolic profiling and nontargeted metabolomic approaches have recently been exploited to understand metabolic changes and identify biomarkers in fruit, in relation to agronomic factors and biotic/abiotic stresses (Dandekar et al, 2010;Lee et al, 2012;Slisz et al, 2012;Tosetti et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Metabolic profiling of ripe olive fruit in response to moderate water stress

Martinelli

Remorini

Saia

et al. 2013

Scientia Horticulturae

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a b s t r a c tThe concentrations of different metabolites in olive (Olea europaea (L.)) fruit at harvest can be affected by water availability, with significant consequences on the composition and the quality of the resulting oil. The aim of the present study was to profile the metabolic composition of ripe olives (cv. Cipressino) grown under water-stress and irrigated conditions applied during the last part of the fruit developmental cycle (from pit hardening to commercial harvest). The imposed conditions resulted in a moderate water stress (−3.5 MPa) at the end of the experimental period. Samples (pulp + skin) of fruit collected at the stage of complete epicarp pigmentation were analyzed by means of GC-MS. In total, 176 metabolites were detected, of which 57 were identified. Principal component analysis (PCA) of stress and non-stress treatments resulted in clearly separated profiles with the first principal component (PC1) mostly correlated with the organic acid content. Of the 57 compounds identified, 19 metabolites (organic acids, fatty acids, soluble sugars, and terpens) accumulated differently in the two sets of samples. A reduction in soluble sugars and unsaturated fatty acids was detected in water stressed samples, suggesting an acceleration of the ripening process. These results highlighted the validity of metabolic profiling to study the effects of water stress in terms of both fruit composition and physiology.

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Section: Introductionmentioning

confidence: 99%

Metabolic profiling of ripe olive fruit in response to moderate water stress

Martinelli

Remorini

Saia

et al. 2013

Scientia Horticulturae

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“…Microarray techniques have been shown to be effective tools in characterizing plant or organ stress status (Rizzini et al, 2010). Metabolomics, largely used for the elucidation of plant physiological processes (Tosetti et al, 2012;Martinelli et al, 2011a;2012b;Ibanez et al, 2014) is another potent tool for the identification of metabolic biomarkers for early detection of diseases. Genes involved in phenylpropanoid pathways or chaperones Natali et al, 2007) may be potential targets to characterize plant stress status.…”

Section: Detection Methods Of Plant Diseasesmentioning

confidence: 99%

Proposal of a Genome Editing System for Genetic Resistance to Tomato Spotted Wilt Virus

Martinelli¹,

Grillone²,

Sgroi³

2014

American Journal of Applied Sciences

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Viruses provoke considerable economical losses in agriculture. New molecular approaches to develop genetic resistance based on translational genomics and precision genetic modifications are highly expected. The type II Clustered, Regularly Interspaced Palindromic Repeats (CRISPR) system including Cas9 nuclease represent a promising and very powerful tool to specifically modulate the expression and activity of genes involved in biotic stress responses. In this study, we describe an approach to develop a platform system based on CRISPR system for genome editing technology in tomato. Tomato is an excellent plant for this approach considering the high-quality genome sequence, the rapid life cycle, the highly efficient in vitro plant culture and transformation protocols, Genome editing can be used to allow resistance to Tomato Spotted Wilt Virus (TSWV) infections by the successful obtainment of two specific objectives: (1) development of a Genome Editing (GE) system using CRISPR-Cas9 system in tomato (Objective 1) and (2) test the system in inducing genetic resistance to TSWV infections. First, it will be necessary to model the molecular dynamics of key host and pathogen proteins predicting how targeted mutations affect these interactions. Then these host players will be targeted by CRISPR-Cas9 technology. The obtained plants can be evaluated for their phenotypic resistance and deeply analyzed using "omic" platforms to gain insight into gene regulatory networks of plant resistance. Outcomes of the proposed project will be essentially three: (1) Identify host target proteins interacting with pathogenic proteins and model their dynamic interactions; (2) develop a platform technology usable to obtain resistant tomatoes to TSWV inducing targeted genetic modifications in the genome; (3) facilitate the adaption of this platform to the improvement of important traits in other specialty crops.

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“…As metabolits have direct impact on the phenotype rather than proteins and transcripts, therefore, these are more convincing in indicating the final results of different regulation phases residing in cells and tissues. Recently, non-targeted metabolomics and metabolic profiling techniques have not only made the understanding of metabolic changes easy but also elucidate biomarkers in fruits related to agronomic parameters and abiotic stresses (Tosetti et al, 2012).…”

Section: ! 86mentioning

confidence: 99%

Transcriptomics and Biochemical Profiling: Current Dynamics in Elucidating the Potential Attributes of Olive

Shah

Hamooh

Daur

et al. 2017

Current Issues in Molecular Biology

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Various transcriptome studies have remained useful in unraveling the complexity of molecular pathways regulating the oil biochemical contents and fruit characteristics of agronomic value in olive. Genes networks associated with plant architect and abiotic stress tolerance have been constructed due to robust genomic data generated by the tools of genomics. This, familiarity will accelerate the breeding programmes in making the selection of high yielding olive genotypes promptly and efficiently. Moreover, comparative transcriptome studies for endogeneous enzymes at different expression sites explicate the contribution of various pathways in phenol and lipid oxidation in olive. Recently, non-targeted metabolomics and metabolic profiling techniques have not only made the understanding of metabolic changes easy but also elucidate biomarkers in fruits related to agronomic parameters and abiotic stresses. However, the alteration in the architectural build up of phenotypes authenticates the conservation of their potential genetic links that will invoke interest for future olive breeding. IntroductionOlea europea is the most important tree of Mediterranean basin which consists 95% of globally cultivated olive trees (Loumou and

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Metabolomics Approach to Studying Minimally Processed Peach (Prunus Persica) Fruit

Cited by 28 publications

References 8 publications

Metabolic profiling of ripe olive fruit in response to moderate water stress

Metabolic profiling of ripe olive fruit in response to moderate water stress

Proposal of a Genome Editing System for Genetic Resistance to Tomato Spotted Wilt Virus

Transcriptomics and Biochemical Profiling: Current Dynamics in Elucidating the Potential Attributes of Olive

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