@article {68477, title = {Eco-evolutionary significance of "loners".}, journal = {PLoS Biol}, volume = {18}, year = {2020}, month = {03/2020}, pages = {e3000642}, abstract = {

Loners-individuals out of sync with a coordinated majority-occur frequently in nature. Are loners incidental byproducts of large-scale coordination attempts, or are they part of a mosaic of life-history strategies? Here, we provide empirical evidence of naturally occurring heritable variation in loner behavior in the model social amoeba Dictyostelium discoideum. We propose that Dictyostelium loners-cells that do not join the multicellular life stage-arise from a dynamic population-partitioning process, the result of each cell making a stochastic, signal-based decision. We find evidence that this imperfectly synchronized multicellular development is affected by both abiotic (environmental porosity) and biotic (signaling) factors. Finally, we predict theoretically that when a pair of strains differing in their partitioning behavior coaggregate, cross-signaling impacts slime-mold diversity across spatiotemporal scales. Our findings suggest that loners could be critical to understanding collective and social behaviors, multicellular development, and ecological dynamics in D. discoideum. More broadly, across taxa, imperfect coordination of collective behaviors might be adaptive by enabling diversification of life-history strategies.

}, keywords = {Biological Evolution, Dictyostelium, Models, Biological, Quorum Sensing, Spatio-Temporal Analysis, Stochastic Processes}, issn = {1545-7885}, doi = {10.1371/journal.pbio.3000642}, author = {Rossine, Fernando W and Martinez-Garcia, Ricardo and Sgro, Allyson E and Gregor, Thomas and Tarnita, Corina E} } @article {68481, title = {From intracellular signaling to population oscillations: bridging size- and time-scales in collective behavior.}, journal = {Mol Syst Biol}, volume = {11}, year = {2015}, month = {01/2015}, pages = {779}, abstract = {

Collective behavior in cellular populations is coordinated by biochemical signaling networks within individual cells. Connecting the dynamics of these intracellular networks to the population phenomena they control poses a considerable challenge because of network complexity and our limited knowledge of kinetic parameters. However, from physical systems, we know that behavioral changes in the individual constituents of a collectively behaving system occur in a limited number of well-defined classes, and these can be described using simple models. Here, we apply such an approach to the emergence of collective oscillations in cellular populations of the social amoeba Dictyostelium discoideum. Through direct tests of our model with quantitative in vivo measurements of single-cell and population signaling dynamics, we show how a simple model can effectively describe a complex molecular signaling network at multiple size and temporal scales. The model predicts novel noise-driven single-cell and population-level signaling phenomena that we then experimentally observe. Our results suggest that like physical systems, collective behavior in biology may be universal and described using simple mathematical models.

}, keywords = {Dictyostelium, Gene Expression Regulation, Image Processing, Computer-Assisted, Microfluidic Analytical Techniques, Molecular Dynamics Simulation, Signal Transduction}, issn = {1744-4292}, doi = {10.15252/msb.20145352}, author = {Sgro, Allyson E and Schwab, David J and Noorbakhsh, Javad and Mestler, Troy and Mehta, Pankaj and Gregor, Thomas} } @article {68480, title = {Modeling oscillations and spiral waves in Dictyostelium populations.}, journal = {Phys Rev E Stat Nonlin Soft Matter Phys}, volume = {91}, year = {2015}, month = {06/2015}, pages = {062711}, abstract = {

Unicellular organisms exhibit elaborate collective behaviors in response to environmental cues. These behaviors are controlled by complex biochemical networks within individual cells and coordinated through cell-to-cell communication. Describing these behaviors requires new mathematical models that can bridge scales-from biochemical networks within individual cells to spatially structured cellular populations. Here we present a family of "multiscale" models for the emergence of spiral waves in the social amoeba Dictyostelium discoideum. Our models exploit new experimental advances that allow for the direct measurement and manipulation of the small signaling molecule cyclic adenosine monophosphate (cAMP) used by Dictyostelium cells to coordinate behavior in cellular populations. Inspired by recent experiments, we model the Dictyostelium signaling network as an excitable system coupled to various preprocessing modules. We use this family of models to study spatially unstructured populations of "fixed" cells by constructing phase diagrams that relate the properties of population-level oscillations to parameters in the underlying biochemical network. We then briefly discuss an extension of our model that includes spatial structure and show how this naturally gives rise to spiral waves. Our models exhibit a wide range of novel phenomena. including a density-dependent frequency change, bistability, and dynamic death due to slow cAMP dynamics. Our modeling approach provides a powerful tool for bridging scales in modeling of Dictyostelium populations.

}, keywords = {Cyclic AMP, Dictyostelium, Extracellular Space, Kinetics, Models, Biological, Signal Transduction}, issn = {1550-2376}, doi = {10.1103/PhysRevE.91.062711}, author = {Noorbakhsh, Javad and Schwab, David J and Sgro, Allyson E and Gregor, Thomas and Mehta, Pankaj} }