Evidence map›Paper›PMID 38353567›Full record

ArticleMicrobiology spectrum2024

MicroMPN: methods and software for high-throughput screening of microbe suppression in mixed populations.

Karla Franco Meléndez, Layla Schuster, Melinda Chue Donahey, Emily Kairalla, M Andrew Jansen, Christopher Reisch, Adam R Rivers

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Karla Franco MeléndezUnited States Department of Agriculture, Agricultural Research Service, Genomics and Bioinformatics Research Unit, Gainesville, Florida, USA.ORCID 0000-0003-3946-4681
Layla SchusterDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Melinda Chue DonaheyDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-3565-7737
Emily KairallaDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
M Andrew JansenUnited States Department of Agriculture, Agricultural Research Service, Systematic Entomology Laboratory, Electron and Confocal Microscopy Unit, Beltsville, Maryland, USA.
Christopher ReischDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Adam R RiversUnited States Department of Agriculture, Agricultural Research Service, Genomics and Bioinformatics Research Unit, Gainesville, Florida, USA.ORCID 0000-0002-3703-834X
University of Florida · USAgricultural Research Service · US

Funding

USDA | Agricultural Research Service (ARS) 6066-21310-005-00-D
6 · The paper itself

Abstract

Screening assays are used to test if one or more microbes suppress a pathogen of interest. In the presence of more than one microbe, the screening method must be able to accurately distinguish viable pathogen cells from non-viable and non-target microbes in a sample. Current screening methods are time-consuming and require special reagents to detect viability in mixed microbial communities. Screening assays performed using soil or other complex matrices present additional challenges for screening. Here, we develop an experimental workflow based on the most probable number (MPN) assay for testing the ability of synthetic microbial communities to suppress a soil-borne pathogen. Our approach, fluorMPN, uses a fluorescently labeled pathogen and microplate format to enable high-throughput comparative screening. In parallel, we developed a command-line tool, MicroMPN, which significantly reduces the complexity of calculating MPN values from microplates. We compared the performance of the fluorMPN assay with spotting on agar and found that both methods produced strongly correlated counts of equal precision. The suppressive effect of synthetic communities on the pathogen was equally recoverable by both methods. The application of this workflow for discriminating which communities lead to pathogen reduction helps narrow down candidates for additional characterization. Together, the resources offered here are meant to facilitate and simplify the application of MPN-based assays for comparative screening projects. IMPORTANCE: We created a unified set of software and laboratory protocols for screening microbe libraries to assess the suppression of a pathogen in a mixed microbial community. Existing methods of fluorescent labeling were combined with the most probable number (MPN) assay in a microplate format to enumerate the reduction of a pathogenic soil microbe from complex soil matrices. This work provides a fluorescent expression vector available from Addgene, step-by-step laboratory protocols hosted by protocols.io, and MicroMPN, a command-line software for processing plate reader outputs. MicroMPN simplifies MPN estimation from 96- and 384-well microplates. The microplate screening assay is amenable to robotic automation with standard liquid handling robots, further reducing the hands-on processing time. This tool was designed to evaluate synthetic microbial communities for use as microbial inoculates or probiotics. The fluorMPN method is also useful for screening chemical and antimicrobial libraries for pathogen suppression in complex bacterial communities like soil.

Indexed as

BacteriaHigh-Throughput Screening AssaysSoftwareSoil MicrobiologyMicrobiotafluorMPN protocolMicroMPN softwaremost probable numberpathogen suppressionsoil microcosmssynthetic bacterial communities

Identifiers

PMID38353567
PMCPMC10923211
OpenAlexW4391811759

What OpenQuestion holds

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Registered trials

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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.