Fate; Rivers; Freshwater; Resistome; Metagenomics; Exposure; Sediment; Risk assessment
Yang Lian, Wen Qinxue, Zhao Yaqi, Chen Zhiqiang, Wang Qiong, Bürgmann Helmut (2019), New insight into effect of antibiotics concentration and process configuration on the removal of antibiotics and relevant antibiotic resistance genes, in Journal of Hazardous Materials
, 373, 60-66.
Bürgmann Helmut, Frigon Dominic, H Gaze William, M Manaia Célia, Pruden Amy, Singer Andrew C, F Smets Barth, Zhang Tong (2018), Water and sanitation: an essential battlefront in the war on antimicrobial resistance, in FEMS Microbiology Ecology
, 94(9), fiy101.
Madueño Laura, Paul Christophe, Junier Thomas, Bayrychenko Zhanna, Filippidou Sevasti, Beck Karin, Greub Gilbert, Bürgmann Helmut, Junier Pilar (2018), A historical legacy of antibiotic utilization on bacterial seed banks in sediments, in PeerJ
, 6, e4197-e4197.
Vikesland Peter J., Pruden Amy, Alvarez Pedro J. J., Aga Diana, Bürgmann Helmut, Li Xiang-dong, Manaia Celia M., Nambi Indumathi, Wigginton Krista, Zhang Tong, Zhu Yong-Guan (2017), Toward a Comprehensive Strategy to Mitigate Dissemination of Environmental Sources of Antibiotic Resistance, in Environmental Science & Technology
, 51(22), 13061-13069.
Due to inputs from wastewater and agriculture aquatic environments receive, due to their role as natural resistance reservoirs, and also due to their role as connecting elements across urban and natural landscapes, aquatic environments are central to understanding the fate of antimicrobial resistance in the environment. This projects proposes to study the fate and impact of anthropogenic inputs of resistant bacteria from wastewater and farming into Swiss rivers systems. We propose to study the up- and downstream of wastewater inflows using metagenomics to obtain an in depth view of the resistome, and using a standardized set of microbiological (indicator organisms) and molecular (qPCR of resistance genes) tools to obtain a quantitative dataset that is comparable among different projects. To elucidate the extent of the penetration of resistance gene inputs into natural populations, we propose to employ epicPCR, a method to link functional genes to the 16S rRNA gene of the host bacterium. We propose to study the fate of a set of resistance determinants during WWTP stormwater bypass events, and in two rivers we will study the fate of the resistome along the river, to measure the spatial extent of contamination and to test if the fate of different resistome elements follows simple rules or is dependent on the individual case. This study will take several river subhabitats into account: water, biofilms, sediment, and the gut microbiome of river invertebrates. Finally, we propose to research possible exposure pathways and to use the data from this project to generate estimates for contamination of Swiss rivers with antibiotic resistant organisms and of the human exposure to them for various water-related activities.