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E.g., Wessler, regeneration, PubMed ID 17578919.

expand all sections collapse all sections  Reference "Genetics of proteome variation for QTL characterization: application to drought-stress responses in maize"
Reference ID 7914
Title Genetics of proteome variation for QTL characterization: application to drought-stress responses in maize
Source Journal of experimental botany, 1999, vol. 50, pp. 303-309
Authors (4)
Abstract 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

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