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Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast.

ABSTRACT: In addition to controlled expression of genes by specific regulatory circuits, the abundance of proteins and transcripts can also be influenced by physiological states of the cell such as growth rate and metabolism. Here we examine the control of gene expression by growth rate and metabolism, by analyzing a multi-omics dataset consisting of absolute-quantitative abundances of the transcriptome, proteome, and amino acids in 22 steady-state yeast cultures. We find that transcription and translation are coordinately controlled by the cell growth rate via RNA polymerase II and ribosome abundance, but they are independently controlled by nitrogen metabolism via amino acid and nucleotide availabilities. Genes in central carbon metabolism, however, are distinctly regulated and do not respond to the cell growth rate or nitrogen metabolism as all other genes. Understanding these effects allows the confounding factors of growth rate and metabolism to be accounted for in gene expression profiling studies.

SUBMITTER: Yu R

PROVIDER: S-EPMC8016476 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Saccharomyces cerevisiae, whose evolutionary past includes a whole-genome duplication event, is characterized by a mosaic genome configuration with substantial apparent genetic redundancy. This apparent redundancy raises questions about the evolutionary driving force for genomic fixation of "minor" paralogs and complicates modular and combinatorial metabolic engineering strategies. While isoenzymes might be important in specific environments, they could be dispensable in controlled laboratory or industrial contexts. The present study explores the extent to which the genetic complexity of the central carbon metabolism (CCM) in S. cerevisiae, here defined as the combination of glycolysis, the pentose phosphate pathway, the tricarboxylic acid cycle, and a limited number of related pathways and reactions, can be reduced by elimination of (iso)enzymes without major negative impacts on strain physiology. Cas9-mediated, groupwise deletion of 35 of the 111 genes yielded a "minimal CCM" strain which, despite the elimination of 32% of CCM-related proteins, showed only a minimal change in phenotype on glucose-containing synthetic medium in controlled bioreactor cultures relative to a congenic reference strain. Analysis under a wide range of other growth and stress conditions revealed remarkably few phenotypic changes from the reduction of genetic complexity. Still, a well-documented context-dependent role of GPD1 in osmotolerance was confirmed. The minimal CCM strain provides a model system for further research into genetic redundancy of yeast genes and a platform for strategies aimed at large-scale, combinatorial remodeling of yeast CCM. IMPORTANCE Fundamental questions regarding the minimal requirements for life have prompted scientists to embark on top-down efforts to reduce microbial genomes to the minimum set of genes and proteins necessary to sustain cell survival and division. While these efforts are generally focused on small, prokaryotic genomes, Saccharomyces cerevisiae, a popular industrial and model organism, has a typical eukaryotic genome characterized by a high genetic redundancy. The cellular function of redundant genes is generally poorly understood and is often investigated at the scale of a few genes. In this study, we explore genetic redundancy at large scale, encompassing the ~100 genes involved in central carbon metabolism, a part of metabolism essential for life and highly conserved among eukaryotes. This study reveals the remarkable resilience of this model eukaryote, as it was hardly affected, under a broad range of conditions, by a 32% reduction of its central carbon metabolism.

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Quantifying absolute gene expression profiles reveals distinct regulation of central carbon metabolism genes in yeast.

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