Making waves: The NORMAN antibiotic resistant bacteria and resistance genes database (NORMAN ARB & ARG) - An invitation for collaboration to tackle antibiotic resistance

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.

Autoři	ALYGIZAKIS Nikiforos NG Kelsey Kwong Pui CIRKA Lubos BERENDONK Thomas CERQUEIRA Francisco CYTRYN Eddie DEVILLER Genevieve FORTUNATO Gianuario IAKOVIDES Iakovos C. KAMPOURIS Ioannis MICHAEL-KORDATOU Irene LAI Foon Yin LUNDY Lian MANAIA Celia M. MARANO Roberto B. M. PAULUS Gabriela K. PINA Benjamin RADU Elena RIZZO Luigi SLIPKO Katarzyna KREUZINGER Norbert THOMAIDIS Nikolaos S. UGOLINI Valentina VAZ-MOREIRA Ivone SLOBODNÍK Jaroslav FATTA-KASSINOS Despo
Rok publikování	2024
Druh	Článek v odborném periodiku
Časopis / Zdroj	Water Research
Fakulta / Pracoviště MU	Přírodovědecká fakulta
Citace
www	https://www.sciencedirect.com/science/article/pii/S0043135424005906?via%3Dihub
Doi	http://dx.doi.org/10.1016/j.watres.2024.121689
Klíčová slova	Antibiotic resistant bacteria; Antibiotic resistance genes; Wastewater treatment plant; Wastewater reuse practises
Popis	With the global concerns on antibiotic resistance (AR) as a public health issue, it is pivotal to have data exchange platforms for studies on antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in the environment. For this purpose, the NORMAN Association is hosting the NORMAN ARB &ARG database, which was developed within the European project ANSWER. The present article provides an overview on the database functionalities, the extraction and the contribution of data to the database. In this study, AR data from three studies from China and Nepal were extracted and imported into the NORMAN ARB &ARG in addition to the existing AR data from 11 studies (mainly European studies) on the database. This feasibility study demonstrates how the scientific community can share their data on AR to generate an international evidence base to inform AR mitigation strategies. The open and FAIR data are of high potential relevance for regulatory applications, including the development of emission limit values / environmental quality standards in relation to AR. The growth in sharing of data and analytical methods will foster collaboration on risk management of AR worldwide, and facilitate the harmonization in the effort for identification and surveillance of critical hotspots of AR. The NORMAN ARB &ARG database is publicly available at: https://www.norman-network.com/nds/bacteria/.
Související projekty:	CETOCOEN Excellence Best chemical risk assessment professionals for maximum Ecosystem Services benefit Výzkumná infrastruktura RECETOX