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During the grain-filling period of maize, the changes in metabolite content, enzyme activities, and transcript abundance of marker genes of amino acid synthesis and interconversion and carbon metabolism in three lines F2, Io, and B73 have been monitored in the cob and in the kernels. An integrative statistical approach using principal component analysis (PCA) and hierarchical clustering of physiological and transcript abundance data in the three maize lines was performed to determine if it was possible to link the expression of a physiological trait and a molecular biomarker to grain yield and its components. In this study, it was confirmed that, in maize, there was a genetic and organ-specific control of the main steps of nitrogen (N) and carbon metabolism in reproductive sink organs during the grain-filling period. PCA analysis allowed the identification of groups of physiological and molecular markers linked to either a genotype, an organ or to both biological parameters. A hierarchical clustering analysis was then performed to identify correlative relationships existing between these markers and agronomic traits related to yield. Such a clustering approach provided new information on putative marker traits that could be used to improve yield in a given genetic background. This can be achieved using either genetic manipulation or breeding to increase transcript abundance for the genes encoding the enzymes glutamine synthetase (GS), alanine amino transferase (AlaAT), aspartate amino transferase (AspAT), and Δ1-pyrroline-5-carboxylate synthetase (P5CS).

An integrated statistical analysis of the genetic variability of nitrogen metabolism in the ear of three maize inbred lines (Zea mays L.)