Evidence map›Paper›PMID 20686658›Full record

ArticlePLoS genetics2010

The fitness landscapes of cis-acting binding sites in different promoter and environmental contexts.

Ryan K Shultzaberger, Daniel S Malashock, Jack F Kirsch, Michael B Eisen

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Disparate Dynamics of Gene Body andPlants (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Review
  7. The causes of evolvability and their evolution.Nature reviews. Genetics · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Evolutionary meandering of intermolecular interactions along the drift barrier.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Review
  14. An evolutionary perspective on protein moonlighting.Biochemical Society transactions · 2014
    Review
  15. The predictability of molecular evolution during functional innovation.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Ryan K ShultzabergerDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, California, United States of America.
Daniel S Malashock
Jack F Kirsch
Michael B Eisen
University of California, Berkeley · USQB3 · US

Funding

Modeling the Evolution and Function of Drosophila cis-Regulatory ModulesR01HG002779 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, MICHAEL BRUCE · 2003 to 2012
$5.3M
NHGRI NIH HHS HG002779NHGRI NIH HHS R01 HG002779
6 · The paper itself

Abstract

The biophysical nature of the interaction between a transcription factor and its target sequences in vitro is sufficiently well understood to allow for the effects of DNA sequence alterations on affinity to be predicted. But even in relatively simple in vivo systems, the complexities of promoter organization and activity have made it difficult to predict how altering specific interactions between a transcription factor and DNA will affect promoter output. To better understand this, we measured the relative fitness of nearly all Escherichia coli sigma(70) -35 binding sites in different promoter and environmental contexts by competing four randomized -35 promoter libraries controlling the expression of the tetracycline resistance gene (tet)against each other in increasing concentrations of drug. We sequenced populations after competition to determine the relative enrichment of each -35 sequence. We observed a consistent relationship between the frequency of recovery of each -35 binding site and its predicted affinity for sigma(70) that varied depending on the sequence context of the promoter and drug concentration. Overall the relative fitness of each promoter could be predicted by a simple thermodynamic model of transcriptional regulation, in which the rate of transcriptional initiation (and hence fitness) is dependent upon the overall stability of the initiation complex, which in turn is dependent upon the energetic contributions of all sites within the complex. As implied by this model, a decrease in the free energy of association at one site could be compensated for by an increase in the binding energy at another to produce a similar output. Furthermore, these data show that a large and continuous range of transcriptional outputs can be accessed by merely changing the -35, suggesting that evolved or engineered mutations at this site could allow for subtle and precise control over gene expression.

Indexed as

Models, GeneticPromoter Regions, GeneticBase SequenceBinding SitesDNA-Directed RNA PolymerasesDrug ResistanceEscherichia coliRegulatory Sequences, Nucleic AcidSigma FactorTetracyclineThermodynamicsTranscription FactorsDNA-Directed RNA PolymerasesRNA polymerase sigma 70Sigma FactorTetracyclineTranscription Factors

Identifiers

PMID20686658
PMCPMC2912393
OpenAlexW2073734048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.