Journal of Experimental Botany, Vol 50, 303-309, Copyright © 1999 by Oxford University Press
D de Vienne, A Leonardi, C Damerval and M Zivy
The proteome is emerging as an important concept of the post-genome era.
Powerful nucleic acid approaches (EST, DNA chips, etc.) are still limited
because DNA sequences and mRNA levels are not sufficient to predict the
structure, function, amount, and activity of the proteins in the cell. The
proteome can now be subjected to large-scale analysis, owing to spectacular
progress in the techniques of identification of proteins excised from
two-dimensional (2-D) gels. In addition, computer-based analysis of 2-D
gels makes it possible to quantify the protein spot intensities, which are
commonly genetically variable. The loci controlling these variations may be
mapped on the genome (PQLs, Protein Quantity Loci). Beyond the interest for
regulatory genetics and molecular biology, the PQL methodology can provide
an additional tool for the difficult task of identifying QTLs (Quantitative
Trait Loci), in the context of the candidate gene approach. The PQL
methodology is presented with the example of the phosphoglycerate mutase
variations in maize, and the candidate gene/protein approach is illustrated
for traits responsive to drought stress.Key words: 2-D
PAGE, proteome, QTL, PQL, candidate gene, maize, drought stress
ARTICLES
Genetics of proteome variation for QTL characterization: application to drought-stress responses in maize
Station de Genetique Vegetale, INRA/UPS/INA PG/CNRS URA 2154, Ferme du Moulon, 91190, Gif-sur-Yvette, France; Corresponding author e-mail: devienne@moulon.inra.fr
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