A cell-based model for size control in the multiple fission alga Chlamydomonas reinhardtii.

Dianyi Liu, César Augusto Vargas-García, Abhyudai Singh, James Umen

Journal: Current biology : CB 2023;33(23):5215-5224.e5

PMID: 37949064

Abstract

Understanding how population-size homeostasis emerges from stochastic individual cell behaviors remains a challenge in biology. The unicellular green alga Chlamydomonas reinhardtii (Chlamydomonas) proliferates using a multiple fission cell cycle, where a prolonged G1 phase is followed by n rounds of alternating division cycles (S/M) to produce 2 daughters. A "Commitment" sizer in mid-G1 phase ensures sufficient cell growth before completing the cell cycle. A mitotic sizer couples mother-cell size to division number (n) such that daughter size distributions are uniform regardless of mother size distributions. Although daughter size distributions were highly robust to altered growth conditions, ∼40% of daughter cells fell outside of the 2-fold range expected from a "perfect" multiple fission sizer. A simple intuitive power law model with stochastic noise failed to reproduce individual division behaviors of tracked single cells. Through additional iterative modeling, we identified an alternative modified threshold (MT) model, where cells need to cross a threshold greater than 2-fold their median starting size to become division-competent (i.e., Committed), after which their behaviors followed a power law model. The Commitment versus mitotic size threshold uncoupling in the MT model was likely a key pre-adaptation in the evolution of volvocine algal multicellularity. A similar experimental approach was used in size mutants mat3/rbr and dp1 that are, respectively, missing repressor or activator subunits of the retinoblastoma tumor suppressor complex (RBC). Both mutants showed altered relationships between Commitment and mitotic sizer, suggesting that RBC functions to decouple the two sizers.

Copyright © 2023 Elsevier Inc. All rights reserved.

Address: Donald Danforth Plant Science Center, 975 N Warson Rd, St. Louis, MO 63132, USA; Department of Biology, University of Missouri - St. Louis, 1 University Blvd, St. Louis, MO 63121, USA.; AGROSAVIA - Corporación colombiana de investigación agropecuaria, Bogotá, Bogotá D.C. 250047, Colombia.; Department of Electrical and Computer Engineering, Department of Biomedical Engineering, Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19716, USA. Electronic address: [email protected].; Donald Danforth Plant Science Center, 975 N Warson Rd, St. Louis, MO 63132, USA. Electronic address: [email protected].
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