Mechano-logical model of C. elegans germ line suggests feedback on the cell cycle

Author:

Atwell Kathryn12,Qin Zhao3,Gavaghan David1,Kugler Hillel24,Hubbard E. Jane Albert3,Osborne James M.125

Affiliation:

1. Computational Biology Group, Department of Computer Science, University of Oxford, Oxford, United Kingdom

2. Biological Computation Group, Computational Science Laboratory, Microsoft Research Cambridge, Cambridge, United Kingdom

3. Skirball Institute of Biomolecular Medicine, Department of Cell Biology and Kimmel Center for Stem Cell Biology, New York University School of Medicine, New York, NY, USA

4. Faculty of Engineering, Bar-Ilan University, Israel

5. School of Mathematics and Statistics, University of Melbourne, Australia

Abstract

The C. elegans germ line is an outstanding model system to study the control of cell division and differentiation. While many of the molecules that regulate germ cell proliferation and fate decisions have been identified, how these signals interact with cellular dynamics and physical forces within the gonad remains poorly understood. We therefore developed a dynamic, 3D in silico model of the C. elegans germ line, incorporating both the mechanical interactions between cells and the decision-making processes within cells. Our model successfully reproduces key features of the germ line during development and adulthood, including a reasonable ovulation rate, correct sperm count, and appropriate organization of the germ line into stably maintained zones. The model highlights a previously overlooked way in which germ cell pressure may influence gonadogenesis, and also predicts that adult germ cells may be subject to mechanical feedback on the cell cycle akin to contact inhibition. We provide experimental data consistent with the latter hypothesis. Finally, we present cell trajectories and ancestry recorded over the course of a simulation. The novel approaches and software described here link mechanics and cellular decision-making, and are applicable to modeling other developmental and stem cell systems.

Publisher

The Company of Biologists

Subject

Developmental Biology,Molecular Biology

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