ArticlePLoS genetics2010
The fitness landscapes of cis-acting binding sites in different promoter and environmental contexts.
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.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 38 citations in OpenAlex.
- The adaptive landscapes of three globaleLife · 2026Article
- On the incongruence of genotype-phenotype and fitness landscapes.PLoS computational biology · 2022Article
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- Disparate Dynamics of Gene Body andPlants (Basel, Switzerland) · 2021Article
- Flux, toxicity, and expression costs generate complex genetic interactions in a metabolic pathway.Science advances · 2020Article
- Recent insights into the genotype-phenotype relationship from massively parallel genetic assays.Evolutionary applications · 2019Review
- The causes of evolvability and their evolution.Nature reviews. Genetics · 2019Review
- Subtle changes at the variable domain interface of the T-cell receptor can strongly increase affinity.The Journal of biological chemistry · 2018Article
- Deep Mutational Scans as a Guide to Engineering High Affinity T Cell Receptor Interactions with Peptide-bound Major Histocompatibility Complex.The Journal of biological chemistry · 2016Article
- A Theoretical Lower Bound for Selection on the Expression Levels of Proteins.Genome biology and evolution · 2016Article
- Shadow Enhancers Are Pervasive Features of Developmental Regulatory Networks.Current biology : CB · 2016Article
- Evolutionary meandering of intermolecular interactions along the drift barrier.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Mechanisms of mutational robustness in transcriptional regulation.Frontiers in genetics · 2015Review
- An evolutionary perspective on protein moonlighting.Biochemical Society transactions · 2014Review
- The predictability of molecular evolution during functional innovation.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Precise and reliable gene expression via standard transcription and translation initiation elements.Nature methods · 2013Article
- P-value-based regulatory motif discovery using positional weight matrices.Genome research · 2013Article
- Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing.Nature biotechnology · 2012Article
- Evolutionary origins of transcription factor binding site clusters.Molecular biology and evolution · 2012Article
- Probing the informational and regulatory plasticity of a transcription factor DNA-binding domain.PLoS genetics · 2012Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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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.