Scavenging for Hydroxybenzoic Acids in Cupriavidus necator: Studying Ligand Sensitivity Using a Biosensor-Based Approach

The increasing demand for rapid identification of bacteria capable of degrading environmentally relevant organic compounds highlights the need for scalable and selective analytical tools. <i>Cupriavidus necator</i> catabolizes several hydroxybenzoic acids, including 2-hydroxybenzoate (salicylate, 2-HBA), 4-hydroxybenzoate (4-HBA), and 3-hydroxybenzoate (3-HBA), funneling them into central aromatic catabolism via monooxygenation to 2,5-dihydroxybenzoate (gentisate, 2,5-dHBA) and 3,4-dihydroxybenzoate (protocatechuate, 3,4-dHBA) followed by the oxidative cleavage reaction, enabling complete conversion to tricarboxylic acid (TCA) cycle intermediates. To quantify how readily <i>C. necator</i> is able to activate catabolic genes in response to hydroxybenzoic acid, an extracellular ligand, we applied an approach centered on a transcription-factor (TF)-based biosensor that combines ligand-bound regulator activity with a fluorescent reporter. This approach allowed to evaluate the ligand sensitivity by determining gene activation threshold AC<sub>min</sub> and half-maximal effective concentration EC<sub>50</sub>. Amongst studied hydroxybenzoic acids, 2-HBA and 4-HBA sensors from <i>C. necator</i> showed very low thresholds 4.8 and 2.4 μM and EC<sub>50</sub> values of 19.91 and 13.06 μM, indicating high sensitivity to these compounds and implicating a scavenging characteristic of associated catabolism. This study shows that the TF-based-biosensor approach applied for mapping functional sensing ranges of hydroxybenzoates combined with the research and informatics of catabolism can advance our understanding of how gene expression regulation systems have evolved to respond differentially to the availability and concentration of carbon sources. Furthermore, it can inform metabolic engineering strategies in the prevention of premature pathway activation or in predicting competitive substrate hierarchies in complex mixed environments.

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Journal
Biomolecules
Published
2026-01-15
DOI
https://doi.org/10.3390/biom16010157
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
0.00

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article

Scavenging for Hydroxybenzoic Acids in Cupriavidus necator: Studying Ligand Sensitivity Using a Biosensor-Based Approach

Ernesta Augustiniene, Naglis Malys, Rizkallah Al Akiki Dit Al Mazraani, Ingrida Sabaliauske et al.
Biomolecules
Bacterial Genetics and Biotechnology
article

Scavenging for Hydroxybenzoic Acids in Cupriavidus necator: Studying Ligand Sensitivity Using a Biosensor-Based Approach

Ernesta Augustiniene, Naglis Malys, Rizkallah Al Akiki Dit Al Mazraani, Ingrida Sabaliauske, Monika Tamasauskaite
article en

Abstract

The increasing demand for rapid identification of bacteria capable of degrading environmentally relevant organic compounds highlights the need for scalable and selective analytical tools. <i>Cupriavidus necator</i> catabolizes several hydroxybenzoic acids, including 2-hydroxybenzoate (salicylate, 2-HBA), 4-hydroxybenzoate (4-HBA), and 3-hydroxybenzoate (3-HBA), funneling them into central aromatic catabolism via monooxygenation to 2,5-dihydroxybenzoate (gentisate, 2,5-dHBA) and 3,4-dihydroxybenzoate (protocatechuate, 3,4-dHBA) followed by the oxidative cleavage reaction, enabling complete conversion to tricarboxylic acid (TCA) cycle intermediates. To quantify how readily <i>C. necator</i> is able to activate catabolic genes in response to hydroxybenzoic acid, an extracellular ligand, we applied an approach centered on a transcription-factor (TF)-based biosensor that combines ligand-bound regulator activity with a fluorescent reporter. This approach allowed to evaluate the ligand sensitivity by determining gene activation threshold AC<sub>min</sub> and half-maximal effective concentration EC<sub>50</sub>. Amongst studied hydroxybenzoic acids, 2-HBA and 4-HBA sensors from <i>C. necator</i> showed very low thresholds 4.8 and 2.4 μM and EC<sub>50</sub> values of 19.91 and 13.06 μM, indicating high sensitivity to these compounds and implicating a scavenging characteristic of associated catabolism. This study shows that the TF-based-biosensor approach applied for mapping functional sensing ranges of hydroxybenzoates combined with the research and informatics of catabolism can advance our understanding of how gene expression regulation systems have evolved to respond differentially to the availability and concentration of carbon sources. Furthermore, it can inform metabolic engineering strategies in the prevention of premature pathway activation or in predicting competitive substrate hierarchies in complex mixed environments.

BiomoleculesVol. 16(1)
Kaunas University of Technology (LT)
Lietuvos Mokslo Taryba
Openalex Percentile: Top 88%
Bacterial Genetics and Biotechnology
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