DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology

The physiological heterogeneity of cells within a microbial population imparts resilience to stresses such as antimicrobial treatments and nutrient limitation. This resilience is partially due to a subpopulation of cells that can survive such stresses and regenerate the community. Microfluidic appro...

Full description

Bibliographic Details
Main Authors: Shawna L. Pratt, Geoffrey K. Zath, Tatsuya Akiyama, Kerry S. Williamson, Michael J. Franklin, Connie B. Chang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2019.02112/full
_version_ 1818516820560183296
author Shawna L. Pratt
Shawna L. Pratt
Geoffrey K. Zath
Geoffrey K. Zath
Tatsuya Akiyama
Tatsuya Akiyama
Kerry S. Williamson
Kerry S. Williamson
Michael J. Franklin
Michael J. Franklin
Connie B. Chang
Connie B. Chang
author_facet Shawna L. Pratt
Shawna L. Pratt
Geoffrey K. Zath
Geoffrey K. Zath
Tatsuya Akiyama
Tatsuya Akiyama
Kerry S. Williamson
Kerry S. Williamson
Michael J. Franklin
Michael J. Franklin
Connie B. Chang
Connie B. Chang
author_sort Shawna L. Pratt
collection DOAJ
description The physiological heterogeneity of cells within a microbial population imparts resilience to stresses such as antimicrobial treatments and nutrient limitation. This resilience is partially due to a subpopulation of cells that can survive such stresses and regenerate the community. Microfluidic approaches now provide a means to study microbial physiology and bacterial heterogeneity at the single cell level, improving our ability to isolate and examine these subpopulations. Drop-based microfluidics provides a high-throughput approach to study individual cell physiology within bacterial populations. Using this approach, single cells are isolated from the population and encapsulated in growth medium dispersed in oil using a 15 μm diameter drop making microfluidic device. The drops are arranged as a packed monolayer inside a polydimethylsiloxane (PDMS) microfluidic device. Growth of thousands of individual cells in identical microenvironments can then be imaged using confocal laser scanning microscopy (CLSM). A challenge for this approach has been the maintenance of drop stability during extended time-lapse imaging. In particular, the drops do not maintain their volume over time during incubation in PDMS devices, due to fluid transport into the porous PDMS surroundings. Here, we present a strategy for PDMS device preparation that stabilizes drop position and volume within a drop array on a microfluidic chip for over 20 h. The stability of water-in-oil drops is maintained by soaking the device in a reservoir containing both water and oil in thermodynamic equilibrium. This ensures that phase equilibrium of the drop emulsion fluids within the porous PDMS material is maintained during drop incubation and imaging. We demonstrate the utility of this approach, which we label DropSOAC (DropStabilization On AChip), for time-lapse studies of bacterial growth. We characterize growth of Pseudomonas aeruginosa and its Δhpf mutant derivative during resuscitation and growth following starvation. We demonstrate that growth rate and lag time heterogeneity of hundreds of individual bacterial cells can be determined starting from single isolated cells. The results show that the DropSOAC capsule provides a high-throughput approach toward studies of microbial physiology at the single cell level, and can be used to characterize physiological differences of cells from within a larger population.
first_indexed 2024-12-11T00:47:36Z
format Article
id doaj.art-b1ef86dc12f945b7820d19903b9a9d04
institution Directory Open Access Journal
issn 1664-302X
language English
last_indexed 2024-12-11T00:47:36Z
publishDate 2019-09-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Microbiology
spelling doaj.art-b1ef86dc12f945b7820d19903b9a9d042022-12-22T01:26:43ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2019-09-011010.3389/fmicb.2019.02112460473DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial PhysiologyShawna L. Pratt0Shawna L. Pratt1Geoffrey K. Zath2Geoffrey K. Zath3Tatsuya Akiyama4Tatsuya Akiyama5Kerry S. Williamson6Kerry S. Williamson7Michael J. Franklin8Michael J. Franklin9Connie B. Chang10Connie B. Chang11Center for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, United StatesCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United StatesDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, MT, United StatesThe physiological heterogeneity of cells within a microbial population imparts resilience to stresses such as antimicrobial treatments and nutrient limitation. This resilience is partially due to a subpopulation of cells that can survive such stresses and regenerate the community. Microfluidic approaches now provide a means to study microbial physiology and bacterial heterogeneity at the single cell level, improving our ability to isolate and examine these subpopulations. Drop-based microfluidics provides a high-throughput approach to study individual cell physiology within bacterial populations. Using this approach, single cells are isolated from the population and encapsulated in growth medium dispersed in oil using a 15 μm diameter drop making microfluidic device. The drops are arranged as a packed monolayer inside a polydimethylsiloxane (PDMS) microfluidic device. Growth of thousands of individual cells in identical microenvironments can then be imaged using confocal laser scanning microscopy (CLSM). A challenge for this approach has been the maintenance of drop stability during extended time-lapse imaging. In particular, the drops do not maintain their volume over time during incubation in PDMS devices, due to fluid transport into the porous PDMS surroundings. Here, we present a strategy for PDMS device preparation that stabilizes drop position and volume within a drop array on a microfluidic chip for over 20 h. The stability of water-in-oil drops is maintained by soaking the device in a reservoir containing both water and oil in thermodynamic equilibrium. This ensures that phase equilibrium of the drop emulsion fluids within the porous PDMS material is maintained during drop incubation and imaging. We demonstrate the utility of this approach, which we label DropSOAC (DropStabilization On AChip), for time-lapse studies of bacterial growth. We characterize growth of Pseudomonas aeruginosa and its Δhpf mutant derivative during resuscitation and growth following starvation. We demonstrate that growth rate and lag time heterogeneity of hundreds of individual bacterial cells can be determined starting from single isolated cells. The results show that the DropSOAC capsule provides a high-throughput approach toward studies of microbial physiology at the single cell level, and can be used to characterize physiological differences of cells from within a larger population.https://www.frontiersin.org/article/10.3389/fmicb.2019.02112/fulldrop-based microfluidicssingle cellgrowth ratelag timetime-lapse imagingbiofilm
spellingShingle Shawna L. Pratt
Shawna L. Pratt
Geoffrey K. Zath
Geoffrey K. Zath
Tatsuya Akiyama
Tatsuya Akiyama
Kerry S. Williamson
Kerry S. Williamson
Michael J. Franklin
Michael J. Franklin
Connie B. Chang
Connie B. Chang
DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
Frontiers in Microbiology
drop-based microfluidics
single cell
growth rate
lag time
time-lapse imaging
biofilm
title DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
title_full DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
title_fullStr DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
title_full_unstemmed DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
title_short DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology
title_sort dropsoac stabilizing microfluidic drops for time lapse quantification of single cell bacterial physiology
topic drop-based microfluidics
single cell
growth rate
lag time
time-lapse imaging
biofilm
url https://www.frontiersin.org/article/10.3389/fmicb.2019.02112/full
work_keys_str_mv AT shawnalpratt dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT shawnalpratt dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT geoffreykzath dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT geoffreykzath dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT tatsuyaakiyama dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT tatsuyaakiyama dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT kerryswilliamson dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT kerryswilliamson dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT michaeljfranklin dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT michaeljfranklin dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT conniebchang dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology
AT conniebchang dropsoacstabilizingmicrofluidicdropsfortimelapsequantificationofsinglecellbacterialphysiology