Sources, propagation and consequences of stochasticity in cellular growth
The drivers of growth rate variability in bacteria are yet unknown. Here, the authors present a theory to predict the growth dynamics of individual cells and use a stochastic cell model integrating metabolism, gene expression and replication to identify the processes that underlie growth variation.
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-10-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-06912-9 |