Evidence map›Paper›PMID 24204211›Full record

ArticlePLoS biology2013

The impact of gene expression variation on the robustness and evolvability of a developmental gene regulatory network.

David A Garfield, Daniel E Runcie, Courtney C Babbitt, Ralph Haygood, William J Nielsen, Gregory A Wray

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
13.7field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 84 citations in OpenAlex.

  1. Loss of Twist1 leads to disruption of ciliary length, endocytic vesicle dynamics, and cell-cell junctions during neural tube formation.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
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  18. Environmental epigenetics in zebrafish.Epigenetics & chromatin · 2017
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

David A GarfieldDepartment of Biology, Duke University, Durham, North Carolina, United States of America.
Daniel E Runcie
Courtney C Babbitt
Ralph Haygood
William J Nielsen
Gregory A Wray
Duke University · USCenter for Systems Biology · US

Funding

Project 6P50GM081883 · NIGMS · DUKE UNIVERSITY · PI BENFEY, PHILIP N · 2007 to 2012
$14.9M
NIGMS NIH HHS P50 GM081883NIGMS NIH HHS P50-GM-081883
6 · The paper itself

Abstract

Regulatory interactions buffer development against genetic and environmental perturbations, but adaptation requires phenotypes to change. We investigated the relationship between robustness and evolvability within the gene regulatory network underlying development of the larval skeleton in the sea urchin Strongylocentrotus purpuratus. We find extensive variation in gene expression in this network throughout development in a natural population, some of which has a heritable genetic basis. Switch-like regulatory interactions predominate during early development, buffer expression variation, and may promote the accumulation of cryptic genetic variation affecting early stages. Regulatory interactions during later development are typically more sensitive (linear), allowing variation in expression to affect downstream target genes. Variation in skeletal morphology is associated primarily with expression variation of a few, primarily structural, genes at terminal positions within the network. These results indicate that the position and properties of gene interactions within a network can have important evolutionary consequences independent of their immediate regulatory role.

Indexed as

Biological EvolutionGene Expression Regulation, DevelopmentalGene Regulatory NetworksAnimalsBone and BonesGene Expression ProfilingLarvaStrongylocentrotus purpuratus

Identifiers

PMID24204211
PMCPMC3812118
OpenAlexW2077175850

What OpenQuestion holds

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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.