TY - JOUR
T1 - A leader cell triggers end of lag phase in populations of Pseudomonas fluorescens
AU - Ardre, Maxime
AU - Doulcier, Guilhem
AU - Brenner, Naama
AU - Rainey, Paul B.
N1 - Publisher Copyright: © 2022 The Author(s). Published by Oxford University Press on behalf of FEMS.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - collective behavior
KW - extreme value theory
KW - growth dynamics
KW - high-Throughput millifluidics
KW - microbial population biology
UR - http://www.scopus.com/inward/record.url?scp=85162474427&partnerID=8YFLogxK
U2 - 10.1093/femsml/uqac022
DO - 10.1093/femsml/uqac022
M3 - مقالة
SN - 2633-6693
VL - 3
JO - microLife
JF - microLife
M1 - uqac022
ER -