Nematode species are well-known for their invariant cell lineage pattern , including reproducible division timing, volume segregation, fate specification and migration trajectory for each and every cell during embryonic development. Here, we study the fundamental principle optimizing cell lineage pattern with Caenorhabditis elegans. Combining previous knowledge about the fate specification induced by asymmetric division and the anti-correlation between cell cycle length and cell volume  , we propose a model to simulate lineage  by altering cell volume segregation ratio in each division, and quantify the derived lineage 's performance in proliferation rapidity , fate diversity and space robustness (PFS Model) . The stereotypic pattern in early C. elegans embryo is  one of the most optimal solutions taking minimum time to achieve the cell number before gastrulation . Our methods lay a foundation for deciphering principles of development and guiding designs of bio-system .
Nematode species are well-known for their invariant cell lineage pattern during development. Combining knowledge about the fate specification induced by asymmetric division and the anti-correlation between cell cycle length and cell volume in Caenorhabditis elegans , we propose a model to simulate lineage initiation by altering cell volume segregation ratio in each division, and quantify the derived pattern 's performance in proliferation speed , fate diversity and space robustness . The stereotypic pattern in C. elegans embryo is found to be one of the most optimal solutions taking minimum time to achieve the cell number before gastrulation , by programming asymmetric division as a strategy .
R
, including reproducible division timing, volume segregation, fate specification and migration trajectory for each and every cell during embryonic development. Here, we study the fundamental principle optimizing cell lineage pattern with Caenorhabditis elegans. Combining previous
during development. Combining
A
in Caenorhabditis elegans
A
initiation
R
lineage
pattern
R
rapidity
speed
D
(PFS Model)
D
early
A
found to be
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. Our methods lay a foundation for deciphering principles of development and guiding designs of bio-system
, by programming asymmetric division as a strategy