Author

F. Ruzicka

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Evolutionary Biology· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Organism:Drosophila· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

K. Fowler· 2 shared M. Reuter· 2 shared T. Connallon· 2 shared A. Runemark· 1 shared C. Diffley· 1 shared C. Olito· 1 shared C. Y. Jordan· 1 shared E. H. Morrow· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

K. Fowler

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Polygenic signals of sex differences in selection in contemporary humans

F. Ruzicka, L. Holman, T. Connallon

This study identifies polygenic signals of sex-differential selection in humans using UK Biobank data, showing sex-specific effects on survival, reproduction, and fitness.

bioRxiv · Sep 20, 2021 · PreprintEvolutionary Biology

A non-coding indel polymorphism in the fruitless gene of Drosophila melanogaster exhibits antagonistically pleiotropic fitness effects

M. D. Jardine, F. Ruzicka, C. Diffley, K. Fowler, M. Reuter

The paper identifies a non-coding indel polymorphism in the fruitless gene of Drosophila melanogaster and shows it has antagonistically pleiotropic fitness effects.

bioRxiv · Dec 1, 2020Evolutionary Biology

The search for sexually antagonistic genes: Practical insights from studies of local adaptation and statistical genomics

F. Ruzicka, L. Dutoit, P. Czuppon, C. Y. Jordan, X.-Y. Li, C. Olito, H. Papoli Yazdi, A. Runemark, E. I. Svensson, T. Connallon

This paper evaluates methods for identifying sexually antagonistic genes by integrating concepts from local adaptation and statistical genomics, applying them to genome data and experimental approaches.

bioRxiv · Apr 30, 2020Evolutionary Biology

Genome-wide sexually antagonistic variants reveal longstanding constraints on sexual dimorphism in the fruitfly

F. Ruzicka, M. S. Hill, T. M. Pennell, I. Flis, F. C. Ingleby, K. Fowler, E. H. Morrow, M. Reuter

The paper identifies genome-wide sexually antagonistic variants in D. melanogaster and finds they are subject to balancing selection, suggesting constraints on sexual dimorphism evolution.

bioRxiv · Oct 23, 2018 · PreprintEvolutionary Biology