{"type": "FeatureCollection", "features": [{"id": "10.1007/s00128-012-0523-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:14:39Z", "type": "Journal Article", "created": "2012-01-25", "title": "Effect Of Long-Term Zinc Pollution On Soil Microbial Community Resistance To Repeated Contamination", "description": "The aim of the study was to compare the effects of stress (contamination trials) on the microorganisms in zinc-polluted soil (5,018\u00a0mg Zn\u00a0kg(-1) soil dry weight) and unpolluted soil (141\u00a0mg Zn kg(-1) soil\u00a0dw), measured as soil respiration rate. In the laboratory, soils were subjected to copper contamination (0, 500, 1,500 and 4,500\u00a0mg\u00a0kg(-1) soil\u00a0dw), and then a bactericide (oxytetracycline) combined with a fungicide (captan) along with glucose (10\u00a0mg\u00a0g(-1) soil\u00a0dw each) were added. There was a highly significant effect of soil type, copper treatment and oxytetracycline/captan treatment. The initial respiration rate of chronically zinc-polluted soil was higher than that of unpolluted soil, but in the copper treatment it showed a greater decline. Microorganisms in copper-treated soil were more susceptible to oxytetracycline/captan contamination. After the successive soil contamination trials the decline of soil respiration was greater in zinc-polluted soil than in unpolluted soil.", "keywords": ["Health", " Toxicology and Mutagenesis", "trace metals", "Oxytetracycline", "Toxicology", "01 natural sciences", "Article", "Captan", "Soil", "Stress", " Physiological", "Soil Pollutants", "Soil Microbiology", "combined stressors", "0105 earth and related environmental sciences", "soil pollution", "Drug Resistance", " Microbial", "04 agricultural and veterinary sciences", "Pollution", "Adaptation", " Physiological", "soil respiration rate", "6. Clean water", "Anti-Bacterial Agents", "Fungicides", " Industrial", "Zinc", "13. 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The tetracycline removal efficiency and the occurrence of tetracycline resistance (tet) genes were also studied. Two sequencing batch biofilm reactors (SBBRs) fed with synthetic wastewater were operated without (SBBR1) and with (SBBR2) the antibiotic. Both SBBRs showed similar organic matter biodegradation and nitrification activity. Tetracycline removal was about 28% and biodegradation was probably the principal removal mechanism of the antibiotic. Polymerase chain reaction-denaturing gradient gel electrophoresis analysis of the bacterial community showed shifts leading to not only the fading of some ribotypes, but also the emergence of new ones in the biofilm with tetracycline. The study of the tet genes showed that tet(S) was only detected in the biofilm with tetracycline, suggesting a relationship between its occurrence and the presence of the antibiotic.", "keywords": ["Science & Technology", "Polymers", "Microbiota", "Molecular Sequence Data", "Tetracycline Resistance", "0211 other engineering and technologies", "Resistance genes", "Sequence Analysis", " DNA", "02 engineering and technology", "Tetracycline", "Nitrification", "01 natural sciences", "6. Clean water", "Anti-Bacterial Agents", "Tetracycline removal", "Nitrifying biofilms", "Bacterial Proteins", "Antibiotics", "Biofilms", "11. 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To this end, the resistance selection and enrichment potential due to antibiotic emissions into the environment must be analysed from a life cycle perspective, for a wide range of antibiotics, and considering variations in the underlying fitness costs between different resistance mutations and genes. The aim of this study is to consistently derive fitness cost-dependent minimum selective concentrations (MSCs) from readily available bacterial inhibition data and to build MSC-based species sensitivity distributions (SSDs). These are then used to determine antibiotic-specific resistance selection concentrations predicted to promote resistance in 5% of exposed bacterial species (RSC5). Using a previously developed competition model, we provide estimated MSC10 endpoints for 2,984 antibiotic and bacterial species combinations; the largest set of modelled MSCs available to date. Based on constructed SSDs, we derive RSC5 for 128 antibiotics with four orders of magnitude difference in their 'selective pressure potential' in the environment. By comparing our RSC5 to MECs, we highlight specific environmental compartments (e.g. hospital and wastewater effluents, lakes and rivers), as well as several antibiotics (e.g. ciprofloxacin, norfloxacin, enrofloxacin, and tetracycline), to be scrutinized for their potential role in resistance selection and dissemination. In addition to enabling comparative risk screening of the selective pressure potential of multiple antibiotics, our SSD-derived RSC5 provide the point of departure for calculating new life cycle-based characterization factors for antibiotics to compare mitigation strategies, thereby contributing towards a 'One-Health' approach to tackling the global antibiotic resistance crisis.", "keywords": ["0301 basic medicine", "2. 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