Evidence map›Paper›PMID 25956793›Full record

ArticleGenome biology and evolution2015

What does it take to evolve an enhancer? A simulation-based study of factors influencing the emergence of combinatorial regulation.

Thyago Duque, Saurabh Sinha

Abstract read
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Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. GeneHancer: genome-wide integration of enhancers and target genes in GeneCards.Database : the journal of biological databases and curation · 2017
    Article
  10. Review
  11. Origin and evolution of developmental enhancers in the mammalian neocortex.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Thyago DuqueDepartment of Computer Science, University of Illinois at Urbana-Champaign.
Saurabh SinhaDepartment of Computer Science, University of Illinois at Urbana-Champaign Institute for Genomic Biology, University of Illinois at Urbana-Champaign sinhas@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is widespread interest today in understanding enhancers, which are regulatory elements typically harboring several transcription factor binding sites and mediating the combinatorial effect of transcription factors on gene expression. The evolution of enhancers poses interesting unanswered questions, for example, the evolutionary time taken for a typical enhancer to emerge or the factors shaping its evolution. Existing approaches to cis-regulatory evolution have often ignored the combinatorial nature and varied biochemical mechanisms of gene regulation encoded in enhancers. We report on our investigation of enhancer evolution through the use of PEBCRES, a framework for evolutionary simulation of enhancers that employs a mechanistic and well-supported sequence-to-expression model to assign fitness to the evolving enhancer genotype. We estimated the time necessary to evolve, from genomic background, enhancers capable of driving complex gene expression patterns similar to those involved in early development in Drosophila. We found the time-to-evolve to range between 0.5 and 10 Myr, and to vary greatly with the target expression pattern, complexity of the real enhancer known to encode that pattern, and the strength of input from specific transcription factors. To our knowledge, this is the first estimate of waiting times for realistic enhancers to evolve. The in silico evolved enhancers had, with a few interesting exceptions, site compositions similar to those seen in real enhancers for the same patterns. Our simulations also revealed that certain features of an enhancer might evolve not due to their biological function but as aids to the evolutionary process itself.

Indexed as

Enhancer Elements, GeneticEvolution, MolecularAnimalsBody PatterningComputer SimulationDrosophilaGene Expression RegulationTime Factorsevolutiongene regulation

Identifiers

PMID25956793
PMCPMC4494070

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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.