Author

R. Schweiger

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

Biology Disciplines

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Ecology· 1 Evolutionary Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Organism:plant (other)· 1

Frequent Co-Authors

A. Jensen· 1 shared B. Pucker· 1 shared B. Weisshaar· 1 shared C. Muller· 1 shared C. Müller· 1 shared D. Ziaja· 1 shared E. J. Eilers· 1 shared J.-F. Frommann· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperEvolutionary Biology

A. Jensen

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Author profile →

3 papers

Recent·Most cited

Avoidable false PSMC population size peaks occur across numerous studies

L. Hilgers, S. Liu, A. Jensen, T. Brown, T. Cousins, R. Schweiger, K. Guschanski, M. Hiller

The paper identifies and resolves false population size peaks in PSMC analyses, showing they result from parameter settings and not true population dynamics.

bioRxiv · Jun 17, 2024Evolutionary Biology

Metabolic fingerprinting reveals roles of Arabidopsis thaliana BGLU1, BGLU3 and BGLU4 in glycosylation of various flavonoids

J.-F. Frommann, B. Pucker, L. M. Sielmann, C. Muller, B. Weisshaar, R. Stracke, R. Schweiger

This study identifies the roles of BGLU1, BGLU3, and BGLU4 in glycosylating already glycosylated flavonoids in Arabidopsis thaliana using reverse genetics and metabolic fingerprinting.

bioRxiv · Jan 30, 2024Plant Biology

Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics.

T. Dussarrat, R. Schweiger, D. Ziaja, T. T. N. Nguyen, L. Krause, R. Jakobs, E. J. Eilers, C. Müller

This study identifies maternal genotype as a major source of chemical variation in tansy plants, revealing 184 predictive metabolite markers with 89% accuracy.

bioRxiv · Feb 16, 2023Ecology