Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity

Cross feeding between microbes is ubiquitous, but its impact on the diversity and productivity of microbial communities is incompletely understood. A reductionist approach using simple microbial communities has the potential to detect cross feeding interactions and their impact on ecosystem properti...

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Main Authors: Firas S. Midani, Lawrence A. David
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.910390/full
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author Firas S. Midani
Firas S. Midani
Lawrence A. David
Lawrence A. David
author_facet Firas S. Midani
Firas S. Midani
Lawrence A. David
Lawrence A. David
author_sort Firas S. Midani
collection DOAJ
description Cross feeding between microbes is ubiquitous, but its impact on the diversity and productivity of microbial communities is incompletely understood. A reductionist approach using simple microbial communities has the potential to detect cross feeding interactions and their impact on ecosystem properties. However, quantifying abundance of more than two microbes in a community in a high throughput fashion requires rapid, inexpensive assays. Here, we show that multicolor flow cytometry combined with a machine learning-based classifier can rapidly quantify species abundances in simple, synthetic microbial communities. Our approach measures community structure over time and detects the exchange of metabolites in a four-member community of fluorescent Bacteroides species. Notably, we quantified species abundances in co-cultures and detected evidence of cooperation in polysaccharide processing and competition for monosaccharide utilization. We also observed that co-culturing on simple sugars, but not complex sugars, reduced microbial productivity, although less productive communities maintained higher community diversity. In summary, our multicolor flow cytometric approach presents an economical, tractable model system for microbial ecology using well-studied human bacteria. It can be extended to include additional species, evaluate more complex environments, and assay response of communities to a variety of disturbances.
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spelling doaj.art-5fd1c381c6d14375b8d57375ef56f28f2023-01-05T17:01:09ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2023-01-011310.3389/fmicb.2022.910390910390Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversityFiras S. Midani0Firas S. Midani1Lawrence A. David2Lawrence A. David3Center for Genomic and Computational Biology, Duke University, Durham, NC, United StatesDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, United StatesCenter for Genomic and Computational Biology, Duke University, Durham, NC, United StatesDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, United StatesCross feeding between microbes is ubiquitous, but its impact on the diversity and productivity of microbial communities is incompletely understood. A reductionist approach using simple microbial communities has the potential to detect cross feeding interactions and their impact on ecosystem properties. However, quantifying abundance of more than two microbes in a community in a high throughput fashion requires rapid, inexpensive assays. Here, we show that multicolor flow cytometry combined with a machine learning-based classifier can rapidly quantify species abundances in simple, synthetic microbial communities. Our approach measures community structure over time and detects the exchange of metabolites in a four-member community of fluorescent Bacteroides species. Notably, we quantified species abundances in co-cultures and detected evidence of cooperation in polysaccharide processing and competition for monosaccharide utilization. We also observed that co-culturing on simple sugars, but not complex sugars, reduced microbial productivity, although less productive communities maintained higher community diversity. In summary, our multicolor flow cytometric approach presents an economical, tractable model system for microbial ecology using well-studied human bacteria. It can be extended to include additional species, evaluate more complex environments, and assay response of communities to a variety of disturbances.https://www.frontiersin.org/articles/10.3389/fmicb.2022.910390/fullBacteroidescross feedingflow cytometrycarbon sourcesmicrobial ecology
spellingShingle Firas S. Midani
Firas S. Midani
Lawrence A. David
Lawrence A. David
Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
Frontiers in Microbiology
Bacteroides
cross feeding
flow cytometry
carbon sources
microbial ecology
title Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
title_full Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
title_fullStr Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
title_full_unstemmed Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
title_short Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
title_sort tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity
topic Bacteroides
cross feeding
flow cytometry
carbon sources
microbial ecology
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.910390/full
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