Author

Michael Lässig

University of CologneORCID 0000-0002-3575-6719Unclaimed ORCID profile · follow to get notified of new preprints

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Michael Lässig2 papers

Biology Disciplines

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Evolutionary Biology· 1 Genetics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:Drosophila· 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 Assay:metabolomics· 1

Frequent Co-Authors

Stephan SchiffelsiD· 2 shared Ville MustoneniD· 2 shared Andreas Pinger· 1 shared Anna‐Lena SchumacheriD· 1 shared Christian KukatiD· 1 shared Christoph KreeriD· 1 shared Christopher Dietrich· 1 shared Denis RuchnewitziD· 1 shared

Activity by Year

2014-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenetics

Stephan SchiffelsORCID

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Author profile →

4 papers

Recent·Most cited

Detection of low pre-existing humoral immunity against influenza virus H5N1 clade 2.3.4.4b in unexposed individuals

Katharina Daniel, Leon Ullrich, Denis Ruchnewitz, Matthijs Meijers, Nico Joël Halwe, Ursula Wild, Jan Eberhardt, Jacob Schön, Ricarda Stumpf, Maike Schlotz, Marie Wunsch, Luana Girao Lessa, Elsayed M. Abdelwhab, Maryna Kuryshko, Christopher Dietrich, , Florian Klein

The paper assesses pre-existing humoral immunity against H5N1 clade 2.3.4.4b in unexposed individuals and finds low but distinct cross-neutralizing titers.

Immunity · Jan 30, 2026Peer-reviewedImmunology

Resource allocation in biochemically structured metabolic networks

Leon Seeger, Fernanda Pinheiro, Michael Lässig

The paper develops an analytical model to predict microbial resource allocation patterns under different nutrient conditions and identifies a metabolite-based regulatory mechanism for optimal growth.

bioRxiv · Mar 27, 2024 · PreprintSystems Biology

The asexual genome of Drosophila

Stephan Schiffels, Ville Mustonen, Michael Lässig

The paper shows that the Drosophila genome has two modes of evolution: one with limited linkage effects and one with clonal competition, linked to recombination rates.

bioRxiv · Nov 29, 2017 · PreprintGenetics

Rate and cost of adaptation in the Drosophila genome

Stephan Schiffels, Michael Lässig, Ville Mustonen

The paper investigates how recombination rates influence adaptive evolution in Drosophila, finding higher adaptive substitution rates in high-recombining regions and significant collateral fitness costs in low-recombining regions.

bioRxiv · Sep 2, 2014 · PreprintEvolutionary Biology