Evidence map›Paper›PMID 20351773›Full record

ArticlePLoS biology2010

Binding site turnover produces pervasive quantitative changes in transcription factor binding between closely related Drosophila species.

Robert K Bradley, Xiao-Yong Li, Cole Trapnell, Stuart Davidson, Lior Pachter, Hou Cheng Chu, Leath A Tonkin, Mark D Biggin, Michael B Eisen

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
10.1field-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

129 citing papers in PubMed, 204 citations in OpenAlex.

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  7. Understanding species-specific and conserved RNA-protein interactionsbioRxiv : the preprint server for biology · 2024
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  11. Disparate Dynamics of Gene Body andPlants (Basel, Switzerland) · 2021
    Article
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69 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Robert K BradleyDepartment of Mathematics, University of California Berkeley, Berkeley, California, United States of America.
Xiao-Yong Li
Cole Trapnell
Stuart Davidson
Lior Pachter
Hou Cheng Chu
Leath A Tonkin
Mark D Biggin
Michael B Eisen
Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · USHoward Hughes Medical Institute · USUniversity of Maryland, College Park · US

Funding

Transcription Network Controlling Drosophila DevelopmentR01GM070444 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BIGGIN, MARK D · 2003 to 2007
$14.9M
Modeling the Evolution and Function of Drosophila cis-Regulatory ModulesR01HG002779 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, MICHAEL BRUCE · 2003 to 2012
$5.3M
Howard Hughes Medical InstituteNHGRI NIH HHS HG002779NHGRI NIH HHS R01 HG002779NIGMS NIH HHS GM704403NIGMS NIH HHS R01 GM070444
6 · The paper itself

Abstract

Changes in gene expression play an important role in evolution, yet the molecular mechanisms underlying regulatory evolution are poorly understood. Here we compare genome-wide binding of the six transcription factors that initiate segmentation along the anterior-posterior axis in embryos of two closely related species: Drosophila melanogaster and Drosophila yakuba. Where we observe binding by a factor in one species, we almost always observe binding by that factor to the orthologous sequence in the other species. Levels of binding, however, vary considerably. The magnitude and direction of the interspecies differences in binding levels of all six factors are strongly correlated, suggesting a role for chromatin or other factor-independent forces in mediating the divergence of transcription factor binding. Nonetheless, factor-specific quantitative variation in binding is common, and we show that it is driven to a large extent by the gain and loss of cognate recognition sequences for the given factor. We find only a weak correlation between binding variation and regulatory function. These data provide the first genome-wide picture of how modest levels of sequence divergence between highly morphologically similar species affect a system of coordinately acting transcription factors during animal development, and highlight the dominant role of quantitative variation in transcription factor binding over short evolutionary distances.

Indexed as

Biological EvolutionAnimalsBinding SitesDNADrosophilaGenes, InsectGenome, InsectPrincipal Component AnalysisProtein BindingTranscription FactorsDNATranscription Factors

Identifiers

PMID20351773
PMCPMC2843597
OpenAlexW2118581428

What OpenQuestion holds

Textmetadata
LicenceCC0
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.