Evidence map›Paper›PMID 41507295›Full record

ArticleScientific reports2026

A network-based analysis of bacterial growth on substrate mixtures uncovers glucose inhibition in Phaeobacter inhibens.

Leonhard Lücken, Bernd Blasius

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
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.

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

2 authors.

Leonhard LückenInstitute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany. leonhard.luecken@uni-oldenburg.de.
Bernd BlasiusInstitute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many bacteria exhibit the remarkable ability to thrive on a diverse range of nutritional substrates. This allows them to survive in environments with a complex composition of resources, even if their total availability is low. The optimal regulation of resource usage is crucial for the ecological success in such environments. Thus, understanding its regulatory facilities can help to understand the ecological function of a microbial species. However, in a complex regulatory context, changing substrate preferences can be challenging to detect from limited experimental data without a systematic analysis. In this work, our primary objective is to introduce a method to infer potential substrate interaction networks in single-species heterotrophic bacterial cultures growing on mixed substrates. Our approach compares substrate depletion curves and can reveal the most important pairwise interdependencies between uptake and presence of substrates. We applied our method to previously published batch culture experiments with the marine bacterium Phaeobacter inhibens, where a mixture of sugars and amino acids served as the exclusive carbon source. This analysis revealed a coexistence of diauxie and co-utilization of substrates illustrating complex regulatory strategies in this bacterium. Notably, we found an inhibition of glucose uptake by the availability of other sugars, i.e., mannitol and/or N-acetylglucosamine. This contrasts the well-documented prioritization of glucose in many other bacteria.

Indexed as

GlucoseRhodobacteraceaeAmino AcidsCarbonCulture MediaAmino AcidsCarbonCulture MediaGlucoseBacterial growthCarbon catabolite repressionDiauxieInhibition networkSubstitutable resourcesSubstrate mixtures

Identifiers

PMID41507295
PMCPMC12791127

What Socratic 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 Socratic graph.