Author

David Kneis

Technische Universität DresdenORCID 0000-0002-6048-6984Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Diala KonyaliiD· 2 shared Thomas Ulrich BerendonkiD· 2 shared Uli KlümperiD· 2 shared Dirk JungmanniD· 1 shared Eda Deniz ErdemiD· 1 shared Faina TskhayiD· 1 shared Geovanni Teran-VelasqueziD· 1 shared Jakob BenischiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersMicrobiology

Diala KonyaliORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Cycles of contamination and recovery: Combined sewer overflows drive acute but transient antimicrobial resistance exposure in an urban stream

Diala Konyali, Robin Pascal Mayer, Sara Schubert, David Kneis, Jakob Benisch, Geovanni Teran-Velasquez, Eda Deniz Erdem, Faina Tskhay, Reinhard Oertel, Peter Krebs, Thomas Ulrich Berendonk, Uli Klümper

This study quantifies how combined sewer overflows (CSOs) temporarily increase antimicrobial resistance in urban streams but do not establish long-term resistance due to rapid washout.

bioRxiv · Jul 10, 2026 · PreprintMicrobiology

Suppressing selection for antibiotic resistance in the environment: A transparent, ecology-based approach to predicted no-effect concentrations

David Kneis, Magali de la Cruz Barrón, Diala Konyali, Valentin Westphal, Patrick Schröder, Kathi Westphal-Settele, Jens Schönfeld, Dirk Jungmann, Thomas Ulrich Berendonk, Uli Klümper

The paper proposes an ecology-based method to predict no-effect concentrations for antibiotic resistance using MIC data and fitness cost estimates, suggesting regulatory thresholds should be lowered.

bioRxiv · Apr 4, 2025 · PreprintMicrobiology