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Lineage priming and cell type proportioning depends on the interplay between stochastic and deterministic factors

Abstract:
Isogenic cells can break symmetry and adopt different fates, even when exposed to a seemingly identical environment. This deeply conserved phenomenon allows unicellular organisms to pre-empt dynamically changing environments and is central to the evolution of multicellularity. It is thought that cells are primed towards different lineages by cell-cell variation, although the underlying mechanisms are poorly understood. To address this, we exploit the tractability of the social amoeba Dictyostelium discoideum, where cell fate choice also does not depend on spatial cues. We develop and test a model to explain quantitative experimental single-cell observations of probabilistic differentiation. The model suggests that cell cycle position affects lineage choice, as previously shown but that stochastic cell-cell variation also plays a key role. Single cell sequencing reveals genes that exhibit cell type-specific expression or genes that affect fate choice exhibit extensive stochastic cell-cell expression variation. Like lineage priming genes in ESCs, they are associated with H3K4 methylation, which when perturbed affects their expression and disrupt fate choice. We suggest the integration of stochastic and deterministic inputs represents an adaptive mechanism to increase developmental robustness against perturbations that affect deterministic signals.
Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Sub department:
Biochemistry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Biochemistry
Sub department:
Biochemistry
Role:
Author


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Funder identifier:
https://ror.org/02b5d8509
More from this funder
Funder identifier:
https://ror.org/029chgv08


Publisher:
eLife Sciences Publications
Journal:
eLife More from this journal
Volume:
14
Article number:
RP105512
Publication date:
2026-05-19
DOI:
EISSN:
2050-084X
ISSN:
2050-084X


Language:
English
Keywords:
Source identifiers:
4061111
Deposit date:
2026-05-20
ARK identifier:
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