Synergistically interacting gene mutations reveal buffering relationships that provide growth homeostasis through their compensation of one another. This analysis in Saccharomyces cerevisiae revealed genetic modules involved in tricarboxylic acid cycle regulation (RTG1, RTG2, RTG3), threonine biosynthesis (HOM3, HOM2, HOM6, THR1, THR4), amino acid permease trafficking (LST4, LST7), and threonine catabolism (GLY1). These modules contribute to a molecular circuit that regulates threonine metabolism and buffers deficiency in deoxyribonucleotide biosynthesis. Phenotypic, genetic, and biochemical evidence for this buffering circuit was obtained through analysis of deletion mutants, titratable alleles of ribonucleotide reductase genes, and measurements of intracellular deoxyribonucleotide pool concentrations. This circuit provides experimental evidence, in eukaryotes, for the presence of a high-flux backbone of metabolism, which was previously predicted from in silico modeling of global metabolism in bacteria. This part of the high-flux backbone appears to buffer deficiency in ribonucleotide reductase by enabling a compensatory increase in de novo purine biosynthesis that provides additional rate-limiting substrates for dNTP production and DNA synthesis. Hypotheses regarding unexpected connections between these metabolic pathways were facilitated by genome-wide but also highly quantitative phenotypic assessment of interactions. Validation of these hypotheses substantiates the added benefit of quantitative phenotyping for identifying subtleties in gene interaction networks that modulate cellular phenotypes.genetic buffering ͉ high-flux backbone of metabolism ͉ protein trafficking ͉ ribonucleotide reductase ͉ mitochondria-to-nucleus retrograde signaling pathway C ells are complex genetic systems, having evolved compensatory molecular networks that provide growth homeostasis (robustness). Conceptually, gene interactions underlie robustness by buffering environmental or genetic perturbations (1-3). Synergistic effects on the phenotype resulting from two genetic deficiencies or chemical inhibition in combination with a genetic deficiency reveal buffering relationships when the double limitation is more severe than either single limitation. Genome-wide phenotypic analysis, as possible with RNAi or use of the complete set of yeast gene deletion mutants, has enabled new approaches to investigate buffering relationships systematically (2, 4, 5). It has been shown that quantitative (strength) and qualitative (pattern) aspects of gene interaction profiles reveal how genes organize in a pathway or cellular process (4, 6). Conceptually, such sets of genes represent genetic modules that contribute buffering capacity to the cell, providing insight into how molecular circuitry is arranged to achieve robustness (7,8). Comprehensive and quantitative methods for genotypephenotype analysis are becoming available for gaining a more global and precise understanding of buffering networks (4, 6, 9). These methods permit unbiased experimental...