Evidence map›Paper›PMID 40924372›Full record

ArticleApplied biochemistry and biotechnology2025

Fluorescence-Based Online Monitoring Enables Differentiation in Co-Cultures of Untagged Streptomyces Species and Trichoderma reesei.

Gesa Brauneck, Mareke Sophie Heykena, Dorothea M Schütterle, Marcel Mann, Ivan Schlembach, Miriam A Rosenbaum, Jorgen Barsett Magnus

Abstract read
In one paragraph

Article in Applied biochemistry and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Gesa BrauneckAVT - Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, Aachen, 52074, Germany.ORCID http://orcid.org/0009-0001-6353-0960
Mareke Sophie HeykenaAVT - Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, Aachen, 52074, Germany.ORCID http://orcid.org/0009-0008-3954-3076
Dorothea M SchütterleLeibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Jena, Germany.ORCID http://orcid.org/0000-0003-2484-2539
Marcel MannAVT - Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, Aachen, 52074, Germany.ORCID http://orcid.org/0000-0002-2819-0358
Ivan SchlembachLeibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Jena, Germany.ORCID http://orcid.org/0000-0003-1827-7887
Miriam A RosenbaumLeibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Jena, Germany.ORCID http://orcid.org/0000-0002-4566-8624
Jorgen Barsett MagnusAVT - Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, Aachen, 52074, Germany. jorgen.magnus@avt.rwth-aachen.de.ORCID http://orcid.org/0009-0007-4381-0088

Funding

Deutsche Forschungsgemeinschaft Project Number: 427899901Deutsche Forschungsgemeinschaft SPP 2170
6 · The paper itself

Abstract

Microbial co-cultures provide significant advantages over commonly used axenic cultures in biotechnological processes, including increased productivity and access to novel natural products. However, differentiated quantification of the microorganisms in co-cultures remains challenging using conventional measurement techniques. To address this, a fluorescence-based approach was developed to enable the differentiated online monitoring of microbial growth in co-cultures. Co-cultures of Streptomyces species (Streptomyces sp./spp.) with Trichoderma reesei (T. reesei) were investigated. T. reesei was tagged with the fluorescent protein mCherry, while Streptomyces spp. were used as untagged wild-type strains. First, two-dimensional (2D) fluorescence spectra of the individual microorganisms were recorded using an in-house-built device to identify characteristic fluorescence areas for online monitoring of Streptomyces spp. These spectra revealed areas of strong autofluorescence for Streptomyces spp., while T. reesei exhibited little to no autofluorescence, making these areas promising for differentiating the microorganisms in co-cultures. Time-resolved measurements further refined these results, identifying the wavelength combination 405/580 nm as particularly useful for online monitoring the growth of Streptomyces spp. To online monitor the co-culture, autofluorescence for Streptomyces spp. and mCherry fluorescence for T. reesei were used. This approach allowed for differentiated online monitoring of the co-cultures, confirmed by microscopic images. Additionally, the developed method was applied to screen varying inoculation ratios of the microorganisms in co-culture, revealing dynamic changes in the co-culture composition. This highly promising method enables reliable, differentiated online monitoring of co-cultures and has the capacity for expansion to other species, making further validation essential to confirm its potential.

Indexed as

HypocrealesStreptomycesCoculture TechniquesFluorescenceLuminescent ProteinsLuminescent Proteins2D fluorescence spectroscopyAutofluorescenceFilamentous co-cultureOnline monitoringStreptomycesTrichoderma reesei

Identifiers

PMID40924372
PMCPMC12634738

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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.