Evidence map›Paper›PMID 25210617›Full record

ArticleF1000Research2014

An explanatory evo-devo model for the developmental hourglass.

Saamer Akhshabi, Shrutii Sarda, Constantine Dovrolis, Soojin Yi

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Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Evolution of bow-tie architectures in biology.PLoS computational biology · 2015
    Article
  7. Review
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Saamer AkhshabiSchool of Computer Science, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Shrutii SardaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20740, USA.
Constantine DovrolisSchool of Computer Science, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Soojin YiSchool of Biology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "developmental hourglass'' describes a pattern of increasing morphological divergence towards earlier and later embryonic development, separated by a period of significant conservation across distant species (the "phylotypic stage''). Recent studies have found evidence in support of the hourglass effect at the genomic level. For instance, the phylotypic stage expresses the oldest and most conserved transcriptomes. However, the regulatory mechanism that causes the hourglass pattern remains an open question. Here, we use an evolutionary model of regulatory gene interactions during development to identify the conditions under which the hourglass effect can emerge in a general setting. The model focuses on the hierarchical gene regulatory network that controls the developmental process, and on the evolution of a population under random perturbations in the structure of that network. The model predicts, under fairly general assumptions, the emergence of an hourglass pattern in the structure of a temporal representation of the underlying gene regulatory network. The evolutionary age of the corresponding genes also follows an hourglass pattern, with the oldest genes concentrated at the hourglass waist. The key behind the hourglass effect is that developmental regulators should have an increasingly specific function as development progresses. Analysis of developmental gene expression profiles from

Identifiers

PMID25210617
PMCPMC4156030

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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.