Evidence map›Paper›PMID 25016582›Full record

ArticleMolecular biology and evolution2014

Modular evolution of DNA-binding preference of a Tbrain transcription factor provides a mechanism for modifying gene regulatory networks.

Alys M Cheatle Jarvela, Lisa Brubaker, Anastasia Vedenko, Anisha Gupta, Bruce A Armitage, Martha L Bulyk, Veronica F Hinman

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Escaping Constraints to Innovate: Maternal Neofunctionalization in a HoxB4 Duplicate.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2026
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  7. Genome-wide use of high- and low-affinity Tbrain transcription factor binding sites during echinoderm development.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Article
  9. De novo ChIP-seq analysis.Genome biology · 2015
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  11. Article
  12. Review
  13. Article
  14. Review
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

7 authors at 2 institutions in 1 country.

Alys M Cheatle JarvelaDepartment of Biological Sciences, Carnegie Mellon University.
Lisa BrubakerDepartment of Biological Sciences, Carnegie Mellon University.
Anastasia VedenkoDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Anisha GuptaDepartment of Chemistry, Carnegie Mellon University.
Bruce A ArmitageDepartment of Chemistry, Carnegie Mellon University.
Martha L BulykDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Veronica F HinmanDepartment of Biological Sciences, Carnegie Mellon University veronica@cmu.edu.
Carnegie Mellon University · USHarvard University · US

Funding

Universal, Compact Combinatorial Microarrays for DNA Binding Site DiscoveryR01HG003985 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI BULYK, MARTHA L · 2006 to 2017
$4.9M
NHGRI NIH HHS R01 HG003985
6 · The paper itself

Abstract

Gene regulatory networks (GRNs) describe the progression of transcriptional states that take a single-celled zygote to a multicellular organism. It is well documented that GRNs can evolve extensively through mutations to cis-regulatory modules (CRMs). Transcription factor proteins that bind these CRMs may also evolve to produce novelty. Coding changes are considered to be rarer, however, because transcription factors are multifunctional and hence are more constrained to evolve in ways that will not produce widespread detrimental effects. Recent technological advances have unearthed a surprising variation in DNA-binding abilities, such that individual transcription factors may recognize both a preferred primary motif and an additional secondary motif. This provides a source of modularity in function. Here, we demonstrate that orthologous transcription factors can also evolve a changed preference for a secondary binding motif, thereby offering an unexplored mechanism for GRN evolution. Using protein-binding microarray, surface plasmon resonance, and in vivo reporter assays, we demonstrate an important difference in DNA-binding preference between Tbrain protein orthologs in two species of echinoderms, the sea star, Patiria miniata, and the sea urchin, Strongylocentrotus purpuratus. Although both orthologs recognize the same primary motif, only the sea star Tbr also has a secondary binding motif. Our in vivo assays demonstrate that this difference may allow for greater evolutionary change in timing of regulatory control. This uncovers a layer of transcription factor binding divergence that could exist for many pairs of orthologs. We hypothesize that this divergence provides modularity that allows orthologous transcription factors to evolve novel roles in GRNs through modification of binding to secondary sites.

Indexed as

AnimalsBinding SitesDNAEvolution, MolecularGene Regulatory NetworksMolecular Sequence DataPhylogenyProtein Array AnalysisSea UrchinsSequence Analysis, DNAStarfishT-Box Domain ProteinsDNAT-Box Domain Proteinsechinodermevo-devoevolutiongene regulatory networksT-boxtranscription factors

Identifiers

PMID25016582
PMCPMC4166925
OpenAlexW2104007309

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.