Transcriptional rewiring over evolutionary timescales changes quantitative and qualitative properties of gene expression

Author:

Dalal Chiraj K1ORCID,Zuleta Ignacio A23,Mitchell Kaitlin F45,Andes David R45,El-Samad Hana23,Johnson Alexander D12

Affiliation:

1. Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States

2. Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States

3. California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, United States

4. Department of Medicine, University of Wisconsin, Madison, United States

5. Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, United States

Abstract

Evolutionary changes in transcription networks are an important source of diversity across species, yet the quantitative consequences of network evolution have rarely been studied. Here we consider the transcriptional ‘rewiring’ of the three GAL genes that encode the enzymes needed for cells to convert galactose to glucose. In Saccharomyces cerevisiae, the transcriptional regulator Gal4 binds and activates these genes. In the human pathogen Candida albicans (which last shared a common ancestor with S. cerevisiae some 300 million years ago), we show that different regulators, Rtg1 and Rtg3, activate the three GAL genes. Using single-cell dynamics and RNA-sequencing, we demonstrate that although the overall logic of regulation is the same in both species—the GAL genes are induced by galactose—there are major differences in both the quantitative response of these genes to galactose and in the position of these genes in the overall transcription network structure of the two species.

Funder

Paul G. Allen Family Foundation

National Institute of General Medical Sciences

National Institutes of Health

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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