Current BiologyDevelopmental BiologyPeer-reviewed journal article
A tension-induced morphological transition shapes the avian extra-embryonic territory
Arthur MichautiD, Alexander ChamollyiD, Aurélien VilledieuiD, Francis CorsoniD, Jérôme GrosiD
Abstract
The segregation of the extra-embryonic lineage is one of the earliest events and a key step in amniote development. Whereas the regulation of extra-embryonic cell fate specification has been extensively studied, little is known about the morphogenetic events underlying the formation of this lineage. Here, taking advantage of the amenability of avian embryos to live and quantitative imaging, we investigate the cell- and tissue-scale dynamics of epiboly, the process during which the epiblast expands to engulf the entire yolk. We show that tension arising from the outward migration of the epiblast border on the vitelline membrane stretches extra-embryonic cells, which reversibly transition from a columnar to squamous morphology. The propagation of this tension is strongly attenuated in the embryonic territory, which concomitantly undergoes fluid-like motion, culminating in the formation of the primitive streak. We formulate a simple viscoelastic model in which the tissue responds elastically to isotropic stress but flows in response to shear stress, and show that it recapitulates the flows and deformation of both embryonic and extra-embryonic tissues. Together, our results clarify the mechanical basis of early avian embryogenesis and provide a framework unifying the divergent mechanical behaviors observed in the contiguous embryonic and extra-embryonic territories that make up the epiblast. HighlightsO_LIThe extra-embryonic region expands radially during epiboly C_LIO_LICell area increase accounts for the rapid extra-embryonic expansion C_LIO_LIEpiboly-induced tension reversibly stretches extra-embryonic cells C_LIO_LIA simple viscoelastic model recovers the morphogenesis of the entire epiblast C_LI
- assay: imaging
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 14
- FWCI
- 6.46
- Field percentile
- top 2%
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