ArticlemSystems2021
Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Interindividual differences in acidogenic potential of the salivary microbiome after mouthwash exposure.BMC microbiology · 2026Article
- Shared stream-lake patterns in diversity, rRNA-based activity and community assembly of bacteria and microeukaryotes under distinct hydrological regimes.FEMS microbiology ecology · 2026Article
- Biogeography of Virioplankton Abundance and Subcluster Patterns in the Northwest Pacific: A Large-Scale Perspective.MicrobiologyOpen · 2025Article
- Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis.Microbiology spectrum · 2025Article
- Quantifying synthetic bacterial community composition with flow cytometry: efficacy in mock communities and challenges in co-cultures.mSystems · 2025Article
- Multi-Omics Analysis Unravels the Impact of Stool Sample Logistics on Metabolites and Microbial Composition.Microorganisms · 2024Article
- Unlocking the mechanism of action: a cost-effective flow cytometry approach for accelerating antimicrobial drug development.Microbiology spectrum · 2024Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Microbiome management research and applications rely on temporally resolved measurements of community composition. Current technologies to assess community composition make use of either cultivation or sequencing of genomic material, which can become time-consuming and/or laborious in case high-throughput measurements are required. Here, using data from a shrimp hatchery as an economically relevant case study, we combined 16S rRNA gene amplicon sequencing and flow cytometry data to develop a computational workflow that allows the prediction of taxon abundances based on flow cytometry measurements. The first stage of our pipeline consists of a classifier to predict the presence or absence of the taxon of interest, with yielded an average accuracy of 88.13% ± 4.78% across the top 50 operational taxonomic units (OTUs) of our data set. In the second stage, this classifier was combined with a regression model to predict the relative abundances of the taxon of interest, which yielded an average
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.