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Table 1.

Summary of phosphoproteins and phosphosites determined by MS analysis.

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Table 2.

Rate of change of phosphoproteins and kinase-substrate interactions.

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Figure 1.

Evolution of phosphorylation levels for different functional groups.

(A) Proteins of S. cerevisiae, C. albicans, and Sc. pombe were grouped according to gene ontology functions, and for each function we calculated the fraction of phosphosites per protein normalized by the average number of phosphosites per protein in the proteome. We plotted the relative levels of phosphorylation of S. cerevisiae functions against the same measure in C. albicans. The size of each point relates to the relative levels of phosphorylation in Sc. pombe that range from 1.2 to 2.4 arbitrary units. The individual correlation coefficients among the three species are S. cerevisiae versus C. albicansR∼0.90; S. cerevisiae versus Sc. pombeR∼0.91; Sc. pombe versus C. albicansR∼0.88. Some functions were consistently found to be highly phosphorylated in all three species (annotated in the picture). (B and C) Proteins from the three species under study were grouped according to functional categories (B) or complex membership (C). For each group, the relative levels of phosphorylation were calculated for the three fungal species and represented in the form of a stacked graph. Those with a significant increase or decrease in phosphorylation are highlighted (see Methods). Asterisk indicates functions/complexes that also show a significant change in the relative fraction of phosphoproteins. Pound symbol (#) indicates functions/complexes that also show a significant difference in total number of proteins assigned in the orthologous group in the different species (see also Protocol S1).

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Figure 2.

Evolution of phosphoregulation of the pre-replication complex.

For S. cerevisiae, C. albicans, and Sc. pombe, proteins found to be phosphorylated experimentally are marked with “P.” (A) For each protein in the species studied, phosphorylation propensity was predicted based on sequence (see Methods) and represented in a color intensity gradient, where darker colors represent increasing predicted phosphorylation likelihood. The AROC value for the prediction of the phosphorylation pattern the three species is 0.67 using the LR method. White squares denote lack of predicted ortholog. (B) The top five kinases predicted to be associated with the ORC and MCM complexes in S. cerevisiae are shown along with the respective AROC value and significance value for prediction of the phosphorylation pattern for the three species (C) Cdc28p phosphorylation propensity was predicted from sequence and classified as poor (white), weak (light blue), or strong (dark blue). Gray denotes lack of predicted ortholog.

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Figure 3.

Evolution of phosphoregulation of the Clathrin associated protein complex.

S. cerevisiae, C. albicans, and Sc. pombe proteins found to be phosphorylated experimentally are marked with a “P.” (A) For each protein phosphorylation propensity was predicted based on sequence (see Methods) and represented in a color intensity gradient where darker colors represent increasing predicted phosphorylation likelihood. The AROC value for the prediction of the phosphorylation pattern in the three species is 0.76 using the GPS method. White squares denote lack of predicted ortholog. (B) Casein kinase I type (Yck1p, Yck2p, Yck3p, and Hrr25p) phosphorylation propensity was predicted from sequence and classified as poor (white), weak (light blue), or strong (dark blue). Casein kinase type I phosphorylation propensity predicts this phosphorylation pattern with an AROC value of 0.63. Gray denotes lack of predicted ortholog.

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Figure 3 Expand

Figure 4.

Functional divergence of protein kinases and transcription factors.

Genetic interactions were compiled for orthologous gene pairs in S. cerevisiae and Sc. pombe. We compared the level of conservation of genetic interactions involving protein kinases and transcription factors to the average conservation of S. cerevisiae genetic interactions. The conservation of genetic interactions that overlap with protein–protein interactions were compared with physical interactions involving at least one protein kinase and with transient interactions. Physical interactions were defined as transient if they were experimentally determined by methods capable of capturing transient interactions (see Methods). The number of conserved interactions for each category is as follows: average gene pairs: 761 out of 5,322; kinases versus random genes: 38 out of 472; TFs versus random genes: 6 out of 141; physical interactions: 67 out of 233; transient interactions: 8 out of 85; kinase interactions: 2 out of 25; TF–gene interactions: 4 out of 48.

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