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

  1. Chiraj K Dalal  Is a corresponding author
  2. Ignacio A Zuleta
  3. Kaitlin F Mitchell
  4. David R Andes
  5. Hana El-Samad
  6. Alexander D Johnson  Is a corresponding author
  1. University of California, San Francisco, United States
  2. University of Wisconsin, 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.

Data availability

The following data sets were generated

Article and author information

Author details

  1. Chiraj K Dalal

    Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
    For correspondence
    chirajdalal.ucsf@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3624-8409
  2. Ignacio A Zuleta

    Department of Biochemistry and Biophysics, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Kaitlin F Mitchell

    Departments of Medicine and Medical Microbiology and Immunology, University of Wisconsin, Madison, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. David R Andes

    Departments of Medicine and Medical Microbiology and Immunology, University of Wisconsin, Madison, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Hana El-Samad

    Department of Biochemistry and Biophysics, California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Alexander D Johnson

    Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
    For correspondence
    ajohnson@cgl.ucsf.edu
    Competing interests
    The authors declare that no competing interests exist.

Funding

Paul G. Allen Family Foundation

  • Ignacio A Zuleta
  • Hana El-Samad

National Institute of General Medical Sciences (P50 GM081879)

  • Ignacio A Zuleta
  • Hana El-Samad

National Institutes of Health (R01AI073289)

  • Kaitlin F Mitchell
  • David R Andes

National Institutes of Health (R01AI049187)

  • Chiraj K Dalal
  • Alexander D Johnson

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Naama Barkai, Weizmann Institute of Science, Israel

Ethics

Animal experimentation: All procedures in this study were approved by the Institutional Animal Care and Use Committee (IACUC) at the University of Wisconsin (protocol number MV1947) according to the guidelines of the Animal Welfare Act, and The Institute of Laboratory Animal Resources Guide for the Care and Use of Laboratory Animals and Public Health Service Policy.

Version history

  1. Received: June 21, 2016
  2. Accepted: September 5, 2016
  3. Accepted Manuscript published: September 10, 2016 (version 1)
  4. Accepted Manuscript updated: September 15, 2016 (version 2)
  5. Version of Record published: October 17, 2016 (version 3)
  6. Version of Record updated: November 10, 2016 (version 4)

Copyright

© 2016, Dalal et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,107
    views
  • 895
    downloads
  • 48
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Chiraj K Dalal
  2. Ignacio A Zuleta
  3. Kaitlin F Mitchell
  4. David R Andes
  5. Hana El-Samad
  6. Alexander D Johnson
(2016)
Transcriptional rewiring over evolutionary timescales changes quantitative and qualitative properties of gene expression
eLife 5:e18981.
https://doi.org/10.7554/eLife.18981

Share this article

https://doi.org/10.7554/eLife.18981

Further reading

    1. Computational and Systems Biology
    2. Evolutionary Biology
    Ryan T Bell, Harutyun Sahakyan ... Eugene V Koonin
    Research Article

    A comprehensive census of McrBC systems, among the most common forms of prokaryotic Type IV restriction systems, followed by phylogenetic analysis, reveals their enormous abundance in diverse prokaryotes and a plethora of genomic associations. We focus on a previously uncharacterized branch, which we denote coiled-coil nuclease tandems (CoCoNuTs) for their salient features: the presence of extensive coiled-coil structures and tandem nucleases. The CoCoNuTs alone show extraordinary variety, with three distinct types and multiple subtypes. All CoCoNuTs contain domains predicted to interact with translation system components, such as OB-folds resembling the SmpB protein that binds bacterial transfer-messenger RNA (tmRNA), YTH-like domains that might recognize methylated tmRNA, tRNA, or rRNA, and RNA-binding Hsp70 chaperone homologs, along with RNases, such as HEPN domains, all suggesting that the CoCoNuTs target RNA. Many CoCoNuTs might additionally target DNA, via McrC nuclease homologs. Additional restriction systems, such as Type I RM, BREX, and Druantia Type III, are frequently encoded in the same predicted superoperons. In many of these superoperons, CoCoNuTs are likely regulated by cyclic nucleotides, possibly, RNA fragments with cyclic termini, that bind associated CARF (CRISPR-Associated Rossmann Fold) domains. We hypothesize that the CoCoNuTs, together with the ancillary restriction factors, employ an echeloned defense strategy analogous to that of Type III CRISPR-Cas systems, in which an immune response eliminating virus DNA and/or RNA is launched first, but then, if it fails, an abortive infection response leading to PCD/dormancy via host RNA cleavage takes over.

    1. Evolutionary Biology
    2. Neuroscience
    Daniel Thiel, Luis Alfonso Yañez Guerra ... Gáspár Jékely
    Research Article

    Neuropeptides are ancient signaling molecules in animals but only few peptide receptors are known outside bilaterians. Cnidarians possess a large number of G protein-coupled receptors (GPCRs) – the most common receptors of bilaterian neuropeptides – but most of these remain orphan with no known ligands. We searched for neuropeptides in the sea anemone Nematostella vectensis and created a library of 64 peptides derived from 33 precursors. In a large-scale pharmacological screen with these peptides and 161 N. vectensis GPCRs, we identified 31 receptors specifically activated by 1 to 3 of 14 peptides. Mapping GPCR and neuropeptide expression to single-cell sequencing data revealed how cnidarian tissues are extensively connected by multilayer peptidergic networks. Phylogenetic analysis identified no direct orthology to bilaterian peptidergic systems and supports the independent expansion of neuropeptide signaling in cnidarians from a few ancestral peptide-receptor pairs.