A proteometabolomic study of Actinidia deliciosa fruit development

Salzano, Anna Maria; Sobolev, Anatoly P.; Carbone, Virginia; Petriccione, Milena; Renzone, Giovanni; Capitani, Donatella; Vitale, Monica; Minasi, Paola; Pasquariello, Maria Silvia; Novi, Gianfranco; Zambrano, Nicola; Scortichini, M.; Mannina, Luisa; Scaloni, Andrea

doi:10.1016/j.jprot.2017.11.004

Cited by 14 publications

(33 citation statements)

References 92 publications

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“…Firmness did not differ among sizes in all sampling dates, and the samples displayed a gradual behaviour over time, while the values of SSC and DM were subjected to more drastic changes considering the 1°size category sample over the last two sampling dates. This finding was similar to the observations of Salzano et al (2018) and was expected in this assessment since rapid softening of fruit might occur in A. arguta species during fruit transition to the consumption stage, which was not achieved during this assessment. This trend has been described to occur within a short time frame, along with a low change rate of SSC and DM, rendering the detection of a harvesting index (Hassall et al (1998)).…”

Section: Physicochemical Colour and Nutraceutical Analysissupporting

confidence: 92%

The use of a new explanatory methodology to assess maturity and ripening indices for kiwiberry (Actinidia arguta): Preliminary results

Silva

Briano

Peano

et al. 2020

Postharvest Biology and Technology

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Harvesting quality is a latent concept that is often summarised by several attributes, which in turn may be described as complex parameters due to their multicomponent structure. Multivariate techniques such as Multiple Factor Analysis (MFA) and Partial least square (PLS) analysis represent suitable tools to investigate quality indices as they are able to compute systems of composite indicators, providing more accurate knowledge than a single attribute. Therefore, the goals of this work are: to describe the evolution of different quality parameters during the harvesting period of new cv Tahi and cv Rua and to analyse their correlations in order to create a model that will highlight new potential harvesting and maturity quality indicators. This will provide knowledge for development of a harvesting index of A. arguta fruit, for which the harvest period is still determined by traditional quality traits. Data from physicochemical, colorimetric and nutraceutical assays were analysed with ANOVA and MFA and fused in a PLS model. We created a PLS model with an R 2 value of 0.83 for cv Rua and of 0.44 for cv Tahi. Our results suggest that composite colorimetric parameters may enhance the sensitivity of Hue changes during the harvesting period and are less cultivar-specific than nutraceutical ones. It is suggested that this methodology is applied to larger sample sizes in order to extend the results to the population. Further studies should pay more attention to the use of colorimetric indices and their combination.

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Section: Physicochemical Colour and Nutraceutical Analysissupporting

confidence: 92%

The use of a new explanatory methodology to assess maturity and ripening indices for kiwiberry (Actinidia arguta): Preliminary results

Silva

Briano

Peano

et al. 2020

Postharvest Biology and Technology

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“…Extraction of metabolites from outer pericarp samples (about 2 g) taken at different postharvest stages was carried out as previously described (Salzano et al, 2018). Briefly, fruit powder samples were treated with a methanol/chloroform mixture generating corresponding hydroalcoholic and organic extracts (see Supplementary Material for details), which were then dried and stored at -20°C.…”

Section: Methodsmentioning

confidence: 99%

“…Taking advantage of our previous experience in a NMR/LC-UV/ESI-IT-MS n - and 2D-DIGE/nanoLC-ESI-LIT-MS/MS-based description of kiwifruit physiological development (Salzano et al, 2018), we used the same procedure to fill the above-mentioned gaps and to describe on a time-course basis proteometabolomic changes in harvest kiwifruit stored at a low temperature, in the absence of chemical additives. Bioinformatic elaboration of resulting data suggested metabolic pathways and molecular processes/interactions affected during different postharvest moments, providing a rationale to corresponding pomological characteristics, and integrating previous proteomic observations on postharvest kiwifruit treated with specific chemicals (Minas et al, 2012, 2016; Tanou et al, 2015; Ainalidou et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Unveiling Kiwifruit Metabolite and Protein Changes in the Course of Postharvest Cold Storage

et al. 2019

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Actinidia deliciosa cv. Hayward fruit is renowned for its micro- and macronutrients, which vary in their levels during berry physiological development and postharvest processing. In this context, we have recently described metabolic pathways/molecular effectors in fruit outer endocarp characterizing the different stages of berry physiological maturation. Here, we report on the kiwifruit postharvest phase through an integrated approach consisting of pomological analysis combined with NMR/LC-UV/ESI-IT-MSn- and 2D-DIGE/nanoLC-ESI-LIT-MS/MS-based proteometabolomic measurements. Kiwifruit samples stored under conventional, cold-based postharvest conditions not involving the use of dedicated chemicals were sampled at four stages (from fruit harvest to pre-commercialization) and analyzed in comparison for pomological features, and outer endocarp metabolite and protein content. About 42 metabolites were quantified, together with corresponding proteomic changes. Proteomics showed that proteins associated with disease/defense, energy, protein destination/storage, cell structure and metabolism functions were affected at precise fruit postharvest times, providing a justification to corresponding pomological/metabolite content characteristics. Bioinformatic analysis of variably represented proteins revealed a central network of interacting species, modulating metabolite level variations during postharvest fruit storage. Kiwifruit allergens were also quantified, demonstrating in some cases their highest levels at the fruit pre-commercialization stage. By lining up kiwifruit postharvest processing to a proteometabolomic depiction, this study integrates previous observations on metabolite and protein content in postharvest berries treated with specific chemical additives, and provides a reference framework for further studies on the optimization of fruit storage before its commercialization.

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“…These plants were treated with T. harzianum or T. virens in order to evaluate the differential quantitative changes in proteins/genes related to specific signaling cascades and metabolic pathways involved in defense responses, redox stresses and carbon/energy metabolism ( Marra et al, 2006 ; Segarra et al, 2007 ; Shoresh and Harman, 2008 ; Perazzolli et al, 2016 ; Manganiello et al, 2018 ; Nogueira-Lopez et al, 2018 ; De Palma et al, 2019 ). Although proteomics and metabolomics have found a large application in the characterization of the physiological changes occurring during development, ripening and post-harvest of diverse fruits ( Guarino et al, 2007 ; D’Ambrosio et al, 2013 ; Molassiotis et al, 2013 ; Salzano et al, 2018 , 2019 ), including strawberry ( Bianco et al, 2009 ; Li et al, 2013 , 2015 ), the objectives have been largely focused on the quality of the harvested products and the effects of conservation conditions.…”

Section: Introductionmentioning

confidence: 99%

Trichoderma Applications on Strawberry Plants Modulate the Physiological Processes Positively Affecting Fruit Production and Quality

et al. 2020

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Many Trichoderma spp. are successful plant beneficial microbial inoculants due to their ability to act as biocontrol agents with direct antagonistic activities to phytopathogens, and as biostimulants capable of promoting plant growth. This work investigated the effects of treatments with three selected Trichoderma strains (T22, TH1, and GV41) to strawberry plants on the productivity, metabolites and proteome of the formed fruits. Trichoderma applications stimulated plant growth, increased strawberry fruit yield, and favored selective accumulation of anthocyanins and other antioxidants in red ripened fruits. Proteomic analysis of fruits harvested from the plants previously treated with Trichoderma demonstrated that the microbial inoculants highly affected the representation of proteins associated with responses to stress/external stimuli, nutrient uptake, protein metabolism, carbon/energy metabolism and secondary metabolism, also providing a possible explanation to the presence of specific metabolites in fruits. Bioinformatic analysis of these differential proteins revealed a central network of interacting molecular species, providing a rationale to the concomitant modulation of different plant physiological processes following the microbial inoculation. These findings indicated that the application of Trichoderma -based products exerts a positive impact on strawberry, integrating well with previous observations on the molecular mechanisms activated in roots and leaves of other tested plant species, demonstrating that the efficacy of using a biological approach with beneficial microbes on the maturing plant is also able to transfer advantages to the developing fruits.

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A proteometabolomic study of Actinidia deliciosa fruit development

Cited by 14 publications

References 92 publications

The use of a new explanatory methodology to assess maturity and ripening indices for kiwiberry (Actinidia arguta): Preliminary results

The use of a new explanatory methodology to assess maturity and ripening indices for kiwiberry (Actinidia arguta): Preliminary results

Unveiling Kiwifruit Metabolite and Protein Changes in the Course of Postharvest Cold Storage

Trichoderma Applications on Strawberry Plants Modulate the Physiological Processes Positively Affecting Fruit Production and Quality

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