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Updated: Nov 4, 2025

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
Published on: May 8, 2020
A comprehensive survey of developmental programs reveals a dearth of tree-like lineage graphs and ubiquitous
Somya Mani1, Tsvi Tlusty2,3
1Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, 44919, South Korea. somyamn@gmail.com.
Background:
Multicellular organisms are characterized by a wide diversity of forms and complexity despite a restricted set of key molecules and mechanisms at the base of organismal development. Development combines three basic processes-asymmetric cell division, signaling, and gene regulation-in a multitude of ways to create this overwhelming diversity of multicellular life forms. Here, we use a generative model to test the limits to which such processes can be combined to generate multiple differentiation paths during development, and attempt to chart the diversity of multicellular organisms generated.
Results:
We sample millions of biologically feasible developmental schemes, allowing us to comment on the statistical properties of cell differentiation trajectories they produce. We characterize model-generated "organisms" using the graph topology of their cell type lineage maps. Remarkably, tree-type lineage differentiation maps are the rarest in our data. Additionally, a majority of the "organisms" generated by our model appear to be endowed with the ability to regenerate using pluripotent cells.
Conclusions:
Our results indicate that, in contrast to common views, cell type lineage graphs are unlikely to be tree-like. Instead, they are more likely to be directed acyclic graphs, with multiple lineages converging on the same terminal cell type. Furthermore, the high incidence of pluripotent cells in model-generated organisms stands in line with the long-standing hypothesis that whole body regeneration is an epiphenomenon of development. We discuss experimentally testable predictions of our model and some ways to adapt the generative framework to test additional hypotheses about general features of development.
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