ArticleFrontiers in microbiology2022
Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Phylogenetic assembly of methanogenesis regulates methane yield in food-waste anaerobic digestion.The ISME journal · 2026Article
- Bayesian inference captures metabolite-bacteria interactions in a microbial community.ISME communications · 2026Article
- Metabolic modeling of microbial communities in the chicken ceca reveals a landscape of competition and co-operation.Microbiome · 2025Article
- Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes.Microbiome · 2025Review
- Investigating the transcriptional fingerprints of coculturedFrontiers in microbiology · 2025Article
- Enrichment and characterization of human-associated mucin-degrading microbial consortia by sequential passage.FEMS microbiology ecology · 2024Article
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Authors and funding
2 authors.
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Abstract
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
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