Abstract
The relationship between the number of cells colonizing a new environment and time for resumption of growth is a subject of long-standing interest. In microbiology this is known as the “inoculum effect.” Its mechanistic basis is unclear with possible explanations ranging from the independent actions of individual cells, to collective actions of populations of cells. Here, we use a millifluidic droplet device in which the growth dynamics of hundreds of populations founded by controlled numbers of Pseudomonas fluorescens cells, ranging from a single cell, to one thousand cells, were followed in real time. Our data show that lag phase decreases with inoculum size. The decrease of average lag time and its variance across droplets, as well as lag time distribution shapes, follow predictions of extreme value theory, where the inoculum lag time is determined by the minimum value sampled from the single-cell distribution. Our experimental results show that exit from lag phase depends on strong interactions among cells, consistent with a “leader cell” triggering end of lag phase for the entire population.
Original language | English |
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Article number | uqac022 |
Pages (from-to) | 1-9 |
Number of pages | 9 |
Journal | microLife |
Volume | 3 |
Early online date | 2 Nov 2022 |
DOIs | |
Publication status | Published - 2022 |
Externally published | Yes |
Bibliographical note
Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.A correction has been published: microLife, Volume 4, 2023, uqad040, https://doi.org/10.1093/femsml/uqad040
Keywords
- high-throughput millifluidics
- growth dynamics
- collective behavior
- extreme value theory
- microbial population biology
- high-Throughput millifluidics