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Journal of Proteomics
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Assessment of Prunus persica fruit softening using a proteomics approach

Authors: Nilo, R.; Campos-Vargas, R.; Orellana, A.;

Assessment of Prunus persica fruit softening using a proteomics approach

Abstract

Fruit ripening in Prunus persica involves a number of physiological changes, being one of the most significant the mesocarp softening in melting varieties. In order to get a better understanding of the molecular processes involved in this phenomenon, the protein accumulation patterns in firm and soft fruit of three peach and two nectarine melting flesh varieties were assessed using 2D gel analysis. A General Linear Model (GLM) two-way analysis of variance determined that 164 of the 621 protein spots analyzed displayed a differential accumulation associated with the softening process. Among them, only 14 proteins changed their accumulation in all the varieties assessed, including proteins mostly involved in carbohydrates and cell wall metabolism as well as fruit senescence. The analysis among varieties showed that 195 and 189 spots changed within the firm and soft fruit conditions, respectively. Despite the changes in relative abundance in the spot proteins, the proteome is conserved among varieties and during the transition from firm to soft fruit. Only two spots proteins exhibited a qualitative change in all the conditions assessed. These results are in agreement with the notion that Prunus persica commercial varieties have a narrow genetic background.

Keywords

Proteomics, Cell Wall, Fruit, Carbohydrate Metabolism, Prunus, Plant Proteins

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    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
Green