FIG 2.

Twenty-one isozyme pairs are associated with the metabolism of alternative carbon sources. (A) Outline of method for association of isozyme pairs with particular data set clusters. In step 1, data sets are grouped into clusters of related experimental conditions (see Materials and Methods). Three of the resulting clusters are shown, with representative data sets. In step 2, for each data set cluster and each isozyme pair, we test whether that pair is anticorrelated within that cluster, and if so, whether it is significantly more anticorrelated within that cluster than in other data sets. We show as an example the CDC19/PYK2 pair, which passes these criteria only within the first cluster of data sets (related to diauxic shift). This suggests that the CDC19/PYK2 pair is associated with the respirofermentative transition. BY/RM, a cross of the lab strain BY4716 and the wine strain RM-11 (95); glu, glucose. (B) A set of 21 isozyme pairs was specifically differentially expressed in two clusters of data sets having to do with metabolism of alternative carbon sources. Separately, 5 other pairs appeared to be associated with sporulation and meiosis. Each filled cell indicates that significant anticorrelation of the given isozyme pair was observed within a given data set cluster, with the intensity of the cell corresponding to the q value (the false-discovery-rate analog of a P value). Asterisks denote the 21 isozyme pairs significantly associated with the diauxic shift and glucose perturbations. gal, galactose.