Synopsis

Connecting Noisy Single-Cell Dynamics to Smooth Population Growth

Physics 11, s41
A new theoretical framework connects the exponential growth of a cell population to the stochastic replication of individual cells within the population.
S. Iyer-Biswas/Purdue University

When seen individually, living cells are an erratic lot: They divide, grow, and divide some more at random intervals. But when viewed as a population, the size of the ensemble grows in a smooth, predictable, exponential fashion. Microbiologists have known this for a long time, and yet there is no model that captures the dichotomy of this growth behavior. Now, Srividya Iyer-Biswas, of Purdue University in West Lafayette, Indiana, and colleagues have developed and tested a theoretical framework that could allow researchers to learn about the behavior of individual cells by studying the cell population at large.

Starting from first principles, the authors crafted a model for population behavior in which the cells have “memory,” which is needed because a cell’s history affects its aging process. They then derived and solved a set of equations that relate parameters of a whole cell population—like the rate of population growth—to the temporal distribution of the division times of individual cells.

The authors tested their framework using data from previous experiments on Caulobacter crescentus, a species of fresh-water bacteria widely employed in cell studies. Using single-cell measurements as inputs to their model, they computed the cell-age distributions, showing that they accurately matched the distributions observed in the experiments. They also showed that the model could extract, from a simple measurement of the population growth rate, cell-specific information, such as the mean growth rate of individual cells and the distributions of cell ages and of times between cell divisions. The new framework could simplify studies of other systems that exhibit exponential growth, such as tumors and viral infections.

This research is published in Physical Review X.

–Christopher Crockett

Christopher Crockett is a freelance writer based in Montgomery, Alabama.


Subject Areas

Biological Physics

Related Articles

Compression of Tumors Causes Drug Resistance
Biological Physics

Compression of Tumors Causes Drug Resistance

Pressure that develops as a tumor grows can limit the effectiveness of chemotherapy treatments. Read More »

A Jumpstart for Biochemistry
Geophysics

A Jumpstart for Biochemistry

RNA can replicate in conditions that could be found on the early Earth, suggesting a possible step in the origin of life. Read More »

Resource Dynamics Dictate Diversity
Complex Systems

Resource Dynamics Dictate Diversity

A model that treats species and food sources as spins in a spin glass finds a surprising limit on species diversity for some types of ecosystems. Read More »

More Articles