Author

Barbora Trubenová

ETH ZurichORCID 0000-0002-6873-2967Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:C. elegans· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Hinrich Schulenburg YiD· 2 shared Jacqueline R. HellingaiD· 2 shared Jürgen KrückeniD· 2 shared Roland R. RegoesiD· 2 shared Georg von Samson-Himmelstjerna· 1 shared Georg von Samson‐HimmelstjernaiD· 1 shared Jessica Wagner· 1 shared Marc Borchert· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 25 mutual co-author links

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2 shared papersEvolutionary Biology

Hinrich Schulenburg YORCID

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3 papers

Recent·Most cited

Collateral effects of drug resistance evolution: explaining repeatability and directionality patterns

Maya Louage, Barbora Trubenová

This study investigates the factors driving repeatability and directionality in drug resistance evolution, showing how drug concentration, population dynamics, and genetic architecture influence collateral effects.

bioRxiv · Apr 14, 2026 · PreprintEvolutionary Biology

Evolution of ivermectin resistance in the nematode model Caenorhabditis elegans: critical influence of population size and unexpected cross-resistance to emodepside

Jacqueline R. Hellinga, Barbora Trubenová, Jessica Wagner, Marc Borchert, Jürgen Krücken, Roland R. Regoes, Hinrich Schulenburg Y, Georg von Samson‐Himmelstjerna

This study shows that large population size accelerates ivermectin resistance in C. elegans, with unexpected cross-resistance to emodepside and sexual recombination playing a role.

Evolutionary Applications · Apr 1, 2026Peer-reviewedEvolutionary Biology

Investigating the consequences of the mating system for drug resistance evolution in C. elegans

Barbora Trubenová, Jacqueline R. Hellinga, Jürgen Krücken, Georg von Samson-Himmelstjerna, Hinrich Schulenburg Y, Roland R. Regoes

This study uses a population genetic model to show that androdioecious C. elegans populations adapt rapidly to drug selection and exhibit high genetic diversity.

Proceedings of the Royal Society B Biological Sciences · Oct 1, 2025Peer-reviewedEvolutionary Biology