ArticleEvoDevo2016
In silico evo-devo: reconstructing stages in the evolution of animal segmentation.
Article in EvoDevo, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Computational model of flower pattern evolution predicts spontaneous emergence of boundary cell types across the petal epidermis.Development (Cambridge, England) · 2026Article
- Cell differentiation can underpin the reproducibility of morphogenesis.PLoS computational biology · 2026Article
- System drift in the evolution of plant meristem development.PLoS genetics · 2026Article
- A design logic for sequential segmentation across organisms.The FEBS journal · 2023Article
- Modelling the evolution of novelty: a review.Essays in biochemistry · 2022Article
- On the evolution and development of morphological complexity: A view from gene regulatory networks.PLoS computational biology · 2021Article
- Why call it developmental bias when it is just development?Biology direct · 2021Article
- Ediacaran developmental biology.Biological reviews of the Cambridge Philosophical Society · 2018Article
- Around the clock: gradient shape and noise impact the evolution of oscillatory segmentation dynamics.EvoDevo · 2018Article
- Recent advances in understanding vertebrate segmentation.F1000Research · 2018Review
- Quantitative study of developmental biology confirmsProceedings. Biological sciences · 2017Article
- The neuromuscular system ofEvoDevo · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe evolution of animal segmentation is a major research focus within the field of evolutionary-developmental biology. Most studied segmented animals generate their segments in a repetitive, anterior-to-posterior fashion coordinated with the extension of the body axis from a posterior growth zone. In the current study we ask which selection pressures and ordering of evolutionary events may have contributed to the evolution of this specific segmentation mode.
resultsTo answer this question we extend a previous in silico simulation model of the evolution of segmentation by allowing the tissue growth pattern to freely evolve. We then determine the likelihood of evolving oscillatory sequential segmentation combined with posterior growth under various conditions, such as the presence or absence of a posterior morphogen gradient or selection for determinate growth. We find that posterior growth with sequential segmentation is the predominant outcome of our simulations only if a posterior morphogen gradient is assumed to have already evolved and selection for determinate growth occurs secondarily. Otherwise, an alternative segmentation mechanism dominates, in which divisions occur in large bursts through the entire tissue and all segments are created simultaneously.
conclusionsOur study suggests that the ancestry of a posterior signalling centre has played an important role in the evolution of sequential segmentation. In addition, it suggests that determinate growth evolved secondarily, after the evolution of posterior growth. More generally, we demonstrate the potential of evo-devo simulation models that allow us to vary conditions as well as the onset of selection pressures to infer a likely order of evolutionary innovations.
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