High environmental concentrations of pharmaceuticals, particularly antibiotics, have been observed worldwide, while antibiotic concentrations in the ng/L to µg/L range may adversely affect biota and contribute to the formation of antibiotic resistance. The underlying causes of high environmental concentrations include, in addition to the low rate of antibiotic' metabolization and the high rate of usage, especially of β-lactam antibiotics, the insufficient removal by conventional wastewater treatment methods. Consequently, alternative methods need to be developed to remove antibiotics from wastewater-one possibility is the use of enzymes. In this study, the enzyme β-lactamase was secreted by a genetically modified yeast (Saccharomyces cerevisiae) upon recognition of a pheromone (α-factor) as inducer to enable the degradation of ampicillin. This represents a crucial step on the road to a sensor-actuator system, allowing for the development of an intelligent removal system that can react to the presence of antibiotics. Ampicillin and its transformation products were studied by LC-MS/MS measurements using a carbamoyl functionalized column under hydrophilic interaction liquid chromatography (HILIC) conditions, which allowed detection of ampicillin at concentrations of 2.43 nM. The dependence of ampicillin degradation on α-factor concentration and the cultivation time of the yeast was demonstrated, resulting in higher degradation rate with higher α-factor concentrations and longer yeast cultivation times. Over 90% of 10 µM ampicillin was degraded within 0.5 h using 250 nM α-factor and a cultivation period of 24 h. Finally, the transferability to other β-lactam antibiotics was investigated, resulting in complete degradation of amoxicillin, penicillin G and piperacillin within 24 h.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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