CANAS-PENDON, Rafael; YESBERGENOVA-CUNY, Zhazira; SIMONS, Margaret; CHARDON, Fabien; ARMENGAUD, Patrick; QUILLERE, Isabelle; CUKIER, Caroline; GIBON, Yves; LIMAMI, Anis-Mohamed; NICOLAS, Stephane; BRULE, Lenaïg; LEA, Peter J; MARANAS, Costas D; HIREL, Bertrand

doi:10.1105/tpc.16.00613

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CANAS-PENDON, Rafael
Institut Jean-Pierre Bourgin [IJPB]
Universidad de Málaga [Málaga] = University of Málaga [Málaga]

YESBERGENOVA-CUNY, Zhazira
Institut Jean-Pierre Bourgin [IJPB]

SIMONS, Margaret
Pennsylvania State University [Penn State]

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Ce document a été publié dans

The Plant cell. 2017, vol. 29, n° 5, p. 919-943

American Society of Plant Biologists (ASPB)

Résumé en anglais

A combined metabolomic, biochemical, fluxomic, and metabolic modeling approach was developed using 19 genetically distant maize (Zea mays) lines from Europe and America. Considerable differences were detected between the lines when leaf metabolic profiles and activities of the main enzymes involved in primary metabolism were compared. During grain filling, the leaf metabolic composition appeared to be a reliable marker, allowing a classification matching the genetic diversity of the lines. During the same period, there was a significant correlation between the genetic distance of the lines and the activities of enzymes involved in carbon metabolism, notably glycolysis. Although large differences were observed in terms of leaf metabolic fluxes, these variations were not tightly linked to the genome structure of the lines. Both correlation studies and metabolic network analyses allowed the description of a maize ideotype with a high grain yield potential. Such an ideotype is characterized by low accumulation of soluble amino acids and carbohydrates in the leaves and high activity of enzymes involved in the C4 photosynthetic pathway and in the biosynthesis of amino acids derived from glutamate. Chlorogenates appear to be important markers that can be used to select for maize lines that produce larger kernels.< Réduire

Mots clés

maïs

zea mays

feuille

diversité génétique

métabolomique

physiologie végétale

modélisation métabolique

analyse biochimique

fluxomique

Mots clés en anglais

biochemical analysis

genêtic variation

maize

indian corn

leaf