Evidence map›Paper›PMID 23637639›Full record

ArticlePLoS genetics2013

The hourglass and the early conservation models--co-existing patterns of developmental constraints in vertebrates.

Barbara Piasecka, Paweł Lichocki, Sébastien Moretti, Sven Bergmann, Marc Robinson-Rechavi

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Article in PLoS genetics, 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
–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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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.

  1. Article
  2. Article
  3. Review
  4. The Interplay of Ontogeny and Phylogeny at the Transcriptome Level of the Tetrapod Heart.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
    Article
  5. Article
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  7. Evolutionary mechanisms modulating the mammalian skull development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  8. Review
  9. Article
  10. Molecular Evolution across Mouse Spermatogenesis.Molecular biology and evolution · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Barbara PiaseckaDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Paweł Lichocki
Sébastien Moretti
Sven Bergmann
Marc Robinson-Rechavi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developmental constraints have been postulated to limit the space of feasible phenotypes and thus shape animal evolution. These constraints have been suggested to be the strongest during either early or mid-embryogenesis, which corresponds to the early conservation model or the hourglass model, respectively. Conflicting results have been reported, but in recent studies of animal transcriptomes the hourglass model has been favored. Studies usually report descriptive statistics calculated for all genes over all developmental time points. This introduces dependencies between the sets of compared genes and may lead to biased results. Here we overcome this problem using an alternative modular analysis. We used the Iterative Signature Algorithm to identify distinct modules of genes co-expressed specifically in consecutive stages of zebrafish development. We then performed a detailed comparison of several gene properties between modules, allowing for a less biased and more powerful analysis. Notably, our analysis corroborated the hourglass pattern at the regulatory level, with sequences of regulatory regions being most conserved for genes expressed in mid-development but not at the level of gene sequence, age, or expression, in contrast to some previous studies. The early conservation model was supported with gene duplication and birth that were the most rare for genes expressed in early development. Finally, for all gene properties, we observed the least conservation for genes expressed in late development or adult, consistent with both models. Overall, with the modular approach, we showed that different levels of molecular evolution follow different patterns of developmental constraints. Thus both models are valid, but with respect to different genomic features.

Indexed as

Evolution, MolecularGene Expression Regulation, DevelopmentalAnimalsBiological EvolutionGene DuplicationGenomePhylogenyZebrafish

Identifiers

PMID23637639
PMCPMC3636041

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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.