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Integrative approach using multiblock analysis to explain a complex trait of tomato fruit quality: texture

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HAL Id: hal-02746679

https://hal.inrae.fr/hal-02746679

Submitted on 3 Jun 2020

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Integrative approach using multiblock analysis to explain a complex trait of tomato fruit quality: texture

Rémy Aurand, Mireille Faurobert, Mohamed Hanafi, Gerard Mazerolles, Raphael Tisiot, Laurent Rosso, Brigitte Navez, Nadia Bertin

To cite this version:

Rémy Aurand, Mireille Faurobert, Mohamed Hanafi, Gerard Mazerolles, Raphael Tisiot, et al.. Inte- grative approach using multiblock analysis to explain a complex trait of tomato fruit quality: texture.

2. Symposium on Horticulture in Europe, Jul 2012, Angers, France. 2012. �hal-02746679�

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AND THE NATIONAL EUROPEAN HORTICUL TURAL SOCIETIES

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Integrative approach using multiblock analysis to explain a complex trait of tomato fruit quality: texture

AURAND, Rémy

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*; FAUROBERT, Mireille

(2);

HANAFI, Mohamed

(3);

MAZEROLLES, Gérard

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TISIOT, Raphaël

(5);

ROSSO, Laurent

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NAVEZ, Brigitte

(6);

BERTIN, Nadia

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(1) INRA - Unité Plantes et Systèmes de cultures Horticoles, 84914 Avignon Cedex 9, France

(2) INRA - Unité de Génétique et Amélioration des Fruits et Légumes, 84143 Montfavet BP94, France,

(3) Unité de Statistique Appliquée, ENITIAAlINRA, B.P. 82225, 44322 Nantes Cedex 03, France

(4) INRA-SPO, 2 place Viala 34060 Montpellier, France

(5) CTIFL - Centre de Balandran, BP 32 30127 Bellegarde, France

(6) CTIFL - Centre de Saint-Rémy de Provence, 13210 Saint Rémy de Provence, France

*Contact: Rémy AURAND ([email protected])

Tomato fruit texture is one of the most critical quality traits for both the consumer (purchase) and the production chain (transport, handling, storage). It is also involved in sensory perception. Texture is a complex trait for which several O'Tl, and genes were found. However, interactions between the molecular, histological, physical and biochemical components of fruit texture have been rarely investigated. ln this work an integrative approach based on multiblock analysis was applied to point out links among the different levels: from protein to fruit, then to identify main physiological mechanisms involved in fruit texture.

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Posters ofTepic 5

Three contrasted parental lines (Cervil, levovil, ViIB) and three derived QTl-Nlls harbouring texture QTl on chromosome 4 and 9 were analyzed. Measurements were performed at cell expansion stage, at harvest and after 7-days storage at 20'C. Ta increase texture variabi lity, water deficit was induced by decreasing water supply by 40% fram flowering of the third truss.

Ta understand the influence of the fruit praperties observed at the different levels (molecular, cellular, and tissue) and their interactions on fruit texture, a multiple co-inertiâ analysis (MCOA) was applied. For that purpose, three data tables were processed: one table included the quantities of 400 prateins (identified by 2D-MS), another one contained biochemical data (vitamin C, soluble sugars, alcohol insoluble solid and dry matter contents), and the last one included mechanical measurements of fruit texture, such as strength and stiffness obtained by compression and puncture tests.

At ail levels, multiblock analysis outlined a strong genotype discrimination, indicating that the genetic factor was the main factor of variability, in contrast with water deficit. Results confirmed previous separated studies. For instance Cervil, a cherry tomato, significantly differed fram ail other genotypes at each levaI. The links observed between proteins and other fruit variables allowed us ta put forward some hypotheses on the physiological mechanisms involved in fruit texture at the three developmental stages.

Thus, multiblock analysis provides an interesting tool ta characterize complex trait su ch as fleshy fruit texture by integrating several levels of studies and by painting at the influence of each table on global effects. This integrative approach paves the way for a better understanding of the mechanism involved in fruit texture.

Keywords: multiple co-inertia analysis, texture, fleshy fruit, tomato, QTl, water deficit.

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