Berendonk, T.U.

Cacace, D.

Cytryn, E.

Dulio, V.

Fatta-Kassinos, D.

Guilloteau, H.

Jäger, T.

Manaia, Célia M.

Marano, R.

Merlin, C.

Rocha, J.

Schwartz, T.

Slobodnik, J.

English

Repositório Institucional da Universidade Católica Portuguesa

  FEMS7-1878 Environmental Microbiology/Microbial Ecology /Microbial Communities - Part II  INTER-LABORATORY CALIBRATION OF QUANTITATIVE ANALYSES OF ANTIBIOTIC RESISTANCE GENES J. Rocha1, D. Cacace2, H. Guilloteau3, T. Jäger4, R. Marano5, C.M. Manaia1, C. Merlin3, D. Fatta-Kassinos6, E. Cytryn5, J. Slobodnik7, T.U. Berendonk2, T. Schwartz4, V. Dulio8 1CBQF - Centro de Biotecnologia e Química Fina, Universidade Católica Portuguesa- Escola Superior de Biotecnologia, Porto, Portugal 2Environmental Sciences Technische Universität Dresden, Institute for Hydrobiology, Dresden, Germany 3Laboratory of Physical Chemistry and Microbiology for the Environment, Nancy University, Nancy, France 4Karlsruhe Institute of Technology, Institute of Functional Interfaces, Karlsruhe, Germany 5Agricultural Research Organization, Institute of Soil Water and Environmental Sciences Volcani Center, Bet Dagan, Israel 6Nireas-International Water Research Centre and Department of Civil Engineering and Environmental Engineering, University of Cyprus, Nicosia, Cyprus 7Environmental Institute, Environmental Institute, Kos, Slovak Republic 8INERIS - Direction Risques Chroniques Rue Jacques Taffanel Parc technologique ALATA, Executive Secretary of the NORMAN Association, Verneuil-en-Halatte, France   Backgrounds Antibiotic resistant bacteria and antibiotic resistance genes (ARGs) are major human-health threats, widely distributed in the environment. Quantitative PCR (qPCR) is a standard approach to detect and quantify ARGs in environmental compartments. However, the comparison of gene quantification reported by different laboratories is challenging since data are predominantly obtained under non-harmonized conditions, using different qPCR protocols.  Objectives The aim of this study was to develop and calibrate standardized qPCR procedures for quantification of key ARGs, analyzing the same samples with common protocols and distinct equipment, reagents batches and operators.  Methods Treated wastewater from three European countries were processed immediately after collection and transported to the laboratory for total DNA extraction. DNA extracts from each sample were pooled and aliquots were distributed by five partners involved in the calibration procedure. The genes 16S rRNA, vanA, blaTEM, qnrS, sul1, blaCTXM-32 and intI1 were analyzed using harmonized qPCR protocols and the constructed pNORM1 plasmid, which contains fragments of the seven targeted genes, was used for generating standard curves.   Conclusions The 16S rRNA gene was the most abundant, followed by sul1, intI1, qnrS and blaTEM. Quantifications made by different partners were reproducible and inter-laboratory variation was < 20%. The notorious exception was for the qnrS gene, and therefore protocol improvement is recommended. The genes blaCTXM-32 and vanA were below the limit of quantification in most or all of the samples analyzed. The inter-laboratory calibration is an adequate approach to reliably assess ARG abundance and environmental contamination in different environments and geographic locations. 

Inter-laboratory calibration of quantitative analyses of antibiotic resistance genes

https://repositorio.ucp.pt/bitstream/10400.14/26632/1/FEMS2017_abstracts-book_GS-800-800.pdf

Inter-laboratory calibration of quantitative analyses of antibiotic resistance genes

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Repositório Institucional da Universidade Católica Portuguesa