Literature DB >> 22178302

Assessment of Prunus persica fruit softening using a proteomics approach.

Ricardo Nilo P1, Reinaldo Campos-Vargas, Ariel Orellana.   

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.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22178302     DOI: 10.1016/j.jprot.2011.11.037

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  14 in total

1.  Transcriptomic analysis of fruit stored under cold conditions using controlled atmosphere in Prunus persica cv. "Red Pearl".

Authors:  Dayan Sanhueza; Paula Vizoso; Iván Balic; Reinaldo Campos-Vargas; Claudio Meneses
Journal:  Front Plant Sci       Date:  2015-09-29       Impact factor: 5.753

Review 2.  Omics studies of citrus, grape and rosaceae fruit trees.

Authors:  Katsuhiro Shiratake; Mami Suzuki
Journal:  Breed Sci       Date:  2016-01-01       Impact factor: 2.086

Review 3.  Antioxidant Defenses in Plants with Attention to Prunus and Citrus spp.

Authors:  Milvia Luisa Racchi
Journal:  Antioxidants (Basel)       Date:  2013-11-26

4.  Comparative Physiological and Proteomic Analysis Reveal Distinct Regulation of Peach Skin Quality Traits by Altitude.

Authors:  Evangelos Karagiannis; Georgia Tanou; Martina Samiotaki; Michail Michailidis; Grigorios Diamantidis; Ioannis S Minas; Athanassios Molassiotis
Journal:  Front Plant Sci       Date:  2016-11-10       Impact factor: 5.753

5.  Expression QTL (eQTLs) Analyses Reveal Candidate Genes Associated With Fruit Flesh Softening Rate in Peach [Prunus persica (L.) Batsch].

Authors:  Tomás Carrasco-Valenzuela; Claudia Muñoz-Espinoza; Aníbal Riveros; Romina Pedreschi; Pere Arús; Reinaldo Campos-Vargas; Claudio Meneses
Journal:  Front Plant Sci       Date:  2019-12-03       Impact factor: 5.753

6.  Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening.

Authors:  Ricardo Nilo-Poyanco; Carol Moraga; Gianfranco Benedetto; Ariel Orellana; Andrea Miyasaka Almeida
Journal:  BMC Genomics       Date:  2021-01-06       Impact factor: 3.969

7.  Proteomic responses of fruits to environmental stresses.

Authors:  Zhulong Chan
Journal:  Front Plant Sci       Date:  2013-01-10       Impact factor: 5.753

8.  Dynamic changes in proteins during apple (Malus x domestica) fruit ripening and storage.

Authors:  Yun Shi; Li Jiang; Li Zhang; Ruoyi Kang; Zhifang Yu
Journal:  Hortic Res       Date:  2014-01-22       Impact factor: 6.793

Review 9.  Understanding development and ripening of fruit crops in an 'omics' era.

Authors:  Nigel E Gapper; James J Giovannoni; Christopher B Watkins
Journal:  Hortic Res       Date:  2014-07-23       Impact factor: 6.793

10.  Hypothesis: increase of the ratio singlet oxygen plus superoxide radical to hydrogen peroxide changes stress defense response to programmed leaf death.

Authors:  Bartolomé Sabater; Mercedes Martín
Journal:  Front Plant Sci       Date:  2013-11-25       Impact factor: 5.753

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