Evidence map›Paper›PMID 35254137›Full record

ArticleMicrobiology spectrum2022

Quantitative High-Throughput Screening Methods Designed for Identification of Bacterial Biocontrol Strains with Antifungal Properties.

Bodil Kjeldgaard, Ana Rute Neves, César Fonseca, Ákos T Kovács, Patricia Domínguez-Cuevas

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Biosynthetic diversity and antifungal potential of soil-derivedApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Frontiers in plant science · 2026
    Article
  6. Article
  7. EndophyticMicrobiology spectrum · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. AFrontiers in fungal biology · 2024
    Article
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

5 authors at 2 institutions in 1 country.

Bodil KjeldgaardDiscovery, R&D, Chr. Hansen A/S, Hoersholm, Denmark.ORCID 0000-0002-1470-7256
Ana Rute NevesDiscovery, R&D, Chr. Hansen A/S, Hoersholm, Denmark.
César FonsecaDiscovery, R&D, Chr. Hansen A/S, Hoersholm, Denmark.ORCID 0000-0003-2448-7063
Ákos T KovácsBacterial Interactions and Evolution Group, DTU Bioengineering, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-4465-1636
Patricia Domínguez-CuevasDiscovery, R&D, Chr. Hansen A/S, Hoersholm, Denmark.ORCID 0000-0002-9343-091X
Chr. Hansen (Denmark) · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large screens of bacterial strain collections to identify potential biocontrol agents often are time-consuming and costly and fail to provide quantitative results. In this study, we present two quantitative and high-throughput methods to assess the inhibitory capacity of bacterial biocontrol candidates against fungal phytopathogens. One method measures the inhibitory effect of bacterial culture supernatant components on the fungal growth, while the other accounts for direct interaction between growing bacteria and the fungus by cocultivating the two organisms. The antagonistic supernatant method quantifies the culture components' antifungal activity by calculating the cumulative impact of supernatant addition relative to the growth of a nontreated fungal control, while the antagonistic cocultivation method identifies the minimal bacterial cell concentration required to inhibit fungal growth by coinoculating fungal spores with bacterial culture dilution series. Thereby, both methods provide quantitative measures of biocontrol efficiency and allow prominent fungal inhibitors to be distinguished from less effective strains. The combination of the two methods sheds light on the types of inhibition mechanisms and provides the basis for further mode-of-action studies. We demonstrate the efficacy of the methods using Bacillus spp. with different levels of antifungal activities as model antagonists and quantify their inhibitory potencies against classic plant pathogens.

Indexed as

Antifungal AgentsFusariumBacteriaHigh-Throughput Screening AssaysPlant DiseasesAntifungal Agentsantifungal agentsBacillusbacterial-fungal coinoculationbioactive compoundsbioactive metabolitesbiocontrol agentsbiocontrol screeningBotrytis cinereafungal growth inhibitionfungal growth inhibition methodFusarium culmorumFusarium graminearumhigh-throughput screeningquantification of antifungal propertiesquantitative methods

Identifiers

PMID35254137
PMCPMC9045326
OpenAlexW4220765122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.