Published June 17, 2020 | Version v1
Journal article Open

Droplet-based high-throughput cultivation for accurate screening of antibiotic resistant gut microbes

Description

Traditional cultivation approaches in microbiology are labor-intensive, low-throughput, and yield biased sampling of environmental microbes due to ecological and evolutionary factors. New strategies are needed for ample representation of rare taxa and slow-growers that are often outcompeted by fast-growers in cultivation experiments. Here we describe a microfluidic platform that anaerobically isolates and cultivates microbial cells in millions of picoliter droplets and automatically sorts them based on colony density to enhance slow-growing organisms. We applied our strategy to a fecal microbiota transplant (FMT) donor stool using multiple growth media, and found significant increase in taxonomic richness and larger representation of rare and clinically relevant taxa among droplet-grown cells compared to conventional plates. Furthermore, screening the FMT donor stool for antibiotic resistance revealed 21 populations that evaded detection in plate-based assessment of antibiotic resistance. Our method improves cultivation-based surveys of diverse microbiomes to gain deeper insights into microbial functioning and lifestyles.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

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Additional details

Identifiers

DOI
10.7554/eLife.56998
Other
oai:uchicago.tind.io:10014

Funding

National Institute of Diabetes and Digestive and Kidney Diseases
DK42086
National Institute of Diabetes and Digestive and Kidney Diseases
RC2 DK122394-01
Samuel and Emma Winters Foundation
GI Research Foundation of Chicago
The Mutchnik Family Fund
National Institute of Diabetes and Digestive and Kidney Diseases
T32 DK07074
Duchossois Family Institute at the University of Chicago

UChicago Information

Division(s)
Pritzker School of Molecular Engineering
Department(s)
Biophysical Sciences, Medicine
Center(s) or Institute(s)
Institute for Genomics and Systems Biology