Evidence map›Paper›PMID 25901014›Full record

ArticleMolecular biology and evolution2015

Gene Expression Evolves under a House-of-Cards Model of Stabilizing Selection.

Andrea Hodgins-Davis, Daniel P Rice, Jeffrey P Townsend

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 89 citations in OpenAlex.

  1. Evolution of quantitative traits with background selection.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Understanding developmental system drift.Development (Cambridge, England) · 2024
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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

3 authors at 1 institution in 1 country.

Andrea Hodgins-DavisDepartment of Ecology and Evolutionary Biology, Yale University Department of Biostatistics, School of Public Health, Yale University.
Daniel P RiceDepartment of Ecology and Evolutionary Biology, Yale University Department of Organismic and Evolutionary Biology, Harvard University.
Jeffrey P TownsendDepartment of Ecology and Evolutionary Biology, Yale University Department of Biostatistics, School of Public Health, Yale University Program in Computational Biology and Bioinformatics, Yale University jeffrey.townsend@yale.edu.
Yale University · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
NIGMS NIH HHS T32 GM007499
6 · The paper itself

Abstract

Divergence in gene regulation is hypothesized to underlie much of phenotypic evolution, but the role of natural selection in shaping the molecular phenotype of gene expression continues to be debated. To resolve the mode of gene expression, evolution requires accessible theoretical predictions for the effect of selection over long timescales. Evolutionary quantitative genetic models of phenotypic evolution can provide such predictions, yet those predictions depend on the underlying hypotheses about the distributions of mutational and selective effects that are notoriously difficult to disentangle. Here, we draw on diverse genomic data sets including expression profiles of natural genetic variation and mutation accumulation lines, empirical estimates of genomic mutation rates, and inferences of genetic architecture to differentiate contrasting hypotheses for the roles of stabilizing selection and mutation in shaping natural expression variation. Our analysis suggests that gene expression evolves in a domain of phenotype space well fit by the House-of-Cards (HC) model. Although the strength of selection inferred is sensitive to the number of loci controlling gene expression, the model is not. The consistency of these results across evolutionary time from budding yeast through fruit fly implies that this model is general and that mutational effects on gene expression are relatively large. Empirical estimates of the genetic architecture of gene expression traits imply that selection provides modest constraints on gene expression levels for most genes, but that the potential for regulatory evolution is high. Our prediction using data from laboratory environments should encourage the collection of additional data sets allowing for more nuanced parameterizations of HC models for gene expression.

Indexed as

Evolution, MolecularModels, GeneticGene Expression Regulationgene expressionHouse-of-Cardsquantitative genomicsregulatory evolutionstabilizing selection

Identifiers

PMID25901014
PMCPMC4592357
OpenAlexW2090853729

What OpenQuestion holds

Textmetadata
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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.