Abstract

Genetic and environmental exposures cause variability in gene expression. Although most genes are affected in a population, their effect sizes vary greatly, indicating the existence of regulatory mechanisms that could amplify or attenuate expression variability. Here, we investigate the relationship between the sequence and transcription start site architectures of promoters and their expression variability across human individuals. We find that expression variability can be largely explained by a promoter's DNA sequence and its binding sites for specific transcription factors. We show that promoter expression variability reflects the biological process of a gene, demonstrating a selective trade-off between stability for metabolic genes and plasticity for responsive genes and those involved in signaling. Promoters with a rigid transcription start site architecture are more prone to have variable expression and to be associated with genetic variants with large effect sizes, while a flexible usage of transcription start sites within a promoter attenuates expression variability and limits genotypic effects. Our work provides insights into the variable nature of responsive genes and reveals a novel mechanism for supplying transcriptional and mutational robustness to essential genes through multiple transcription start site regions within a promoter.

Data availability

Sequencing data have been deposited into the GEO database: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE188131

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Hjorleifur Einarsson

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  2. Marco Salvatore

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  3. Christian Vaagenso

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  4. Nicolas Alcaraz

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  5. Jette Bornholdt Lange

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  6. Sarah Rennie

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  7. Robin Andersson

    Department of Biology, University of Copenhagen, Copenhagen N, Denmark
    For correspondence
    robin@binf.ku.dk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1516-879X

Funding

Danmarks Frie Forskningsfond (6108-00038)

  • Robin Andersson

European Research Council (638173)

  • Robin Andersson

Novo Nordisk Fonden (NNF18OC0052570)

  • Robin Andersson

Novo Nordisk Fonden (NNF20OC0059796)

  • Robin Andersson

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

Copyright

© 2022, Einarsson 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

  • 3,846
    views
  • 386
    downloads
  • 20
    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. Hjorleifur Einarsson
  2. Marco Salvatore
  3. Christian Vaagenso
  4. Nicolas Alcaraz
  5. Jette Bornholdt Lange
  6. Sarah Rennie
  7. Robin Andersson
(2022)
Promoter sequence and architecture determine expression variability and confer robustness to genetic variants
eLife 11:e80943.
https://doi.org/10.7554/eLife.80943

Share this article

https://doi.org/10.7554/eLife.80943

Further reading

    1. Chromosomes and Gene Expression
    2. Evolutionary Biology
    Timothy Fuqua, Yiqiao Sun, Andreas Wagner
    Research Article

    Gene regulation is essential for life and controlled by regulatory DNA. Mutations can modify the activity of regulatory DNA, and also create new regulatory DNA, a process called regulatory emergence. Non-regulatory and regulatory DNA contain motifs to which transcription factors may bind. In prokaryotes, gene expression requires a stretch of DNA called a promoter, which contains two motifs called –10 and –35 boxes. However, these motifs may occur in both promoters and non-promoter DNA in multiple copies. They have been implicated in some studies to improve promoter activity, and in others to repress it. Here, we ask whether the presence of such motifs in different genetic sequences influences promoter evolution and emergence. To understand whether and how promoter motifs influence promoter emergence and evolution, we start from 50 ‘promoter islands’, DNA sequences enriched with –10 and –35 boxes. We mutagenize these starting ‘parent’ sequences, and measure gene expression driven by 240,000 of the resulting mutants. We find that the probability that mutations create an active promoter varies more than 200-fold, and is not correlated with the number of promoter motifs. For parent sequences without promoter activity, mutations created over 1500 new –10 and –35 boxes at unique positions in the library, but only ~0.3% of these resulted in de-novo promoter activity. Only ~13% of all –10 and –35 boxes contribute to de-novo promoter activity. For parent sequences with promoter activity, mutations created new –10 and –35 boxes in 11 specific positions that partially overlap with preexisting ones to modulate expression. We also find that –10 and –35 boxes do not repress promoter activity. Overall, our work demonstrates how promoter motifs influence promoter emergence and evolution. It has implications for predicting and understanding regulatory evolution, de novo genes, and phenotypic evolution.

    1. Chromosomes and Gene Expression
    2. Developmental Biology
    Valentin Babosha, Natalia Klimenko ... Oksana Maksimenko
    Research Article

    The male-specific lethal complex (MSL), which consists of five proteins and two non-coding roX RNAs, is involved in the transcriptional enhancement of X-linked genes to compensate for the sex chromosome monosomy in Drosophila XY males compared with XX females. The MSL1 and MSL2 proteins form the heterotetrameric core of the MSL complex and are critical for the specific recruitment of the complex to the high-affinity ‘entry’ sites (HAS) on the X chromosome. In this study, we demonstrated that the N-terminal region of MSL1 is critical for stability and functions of MSL1. Amino acid deletions and substitutions in the N-terminal region of MSL1 strongly affect both the interaction with roX2 RNA and the MSL complex binding to HAS on the X chromosome. In particular, substitution of the conserved N-terminal amino-acids 3–7 in MSL1 (MSL1GS) affects male viability similar to the inactivation of genes encoding roX RNAs. In addition, MSL1GS binds to promoters such as MSL1WT but does not co-bind with MSL2 and MSL3 to X chromosomal HAS. However, overexpression of MSL2 partially restores the dosage compensation. Thus, the interaction of MSL1 with roX RNA is critical for the efficient assembly of the MSL complex on HAS of the male X chromosome.