Author

M. A. Schmitz

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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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:chromatin & epigenetic regulation· 1 Organism:yeast· 1

Frequent Co-Authors

C. Bank· 3 shared A. Y. Morales-Arce· 1 shared D. Cusseddu· 1 shared I. Fragata· 1 shared J. D. Jensen· 1 shared L. Lansch-Justen· 1 shared S. Matuszweski· 1 shared T. Bataillon· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 14 mutual co-author links

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3 shared papersEvolutionary Biology

C. Bank

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3 papers

Recent·Most cited

Evolutionary models predict potential mechanisms of escape from mutational meltdown

C. Bank, M. A. Schmitz, A. Y. Morales-Arce

The paper uses computational models to explore how RNA viruses might escape mutagenic drugs by adapting through three mechanisms: beneficial mutations, mutation rate reduction, and fitness effect modification.

bioRxiv · Jun 21, 2022 · PreprintEvolutionary Biology

The extinction time under mutational meltdown

L. Lansch-Justen, D. Cusseddu, M. A. Schmitz, C. Bank

The paper calculates the extinction time of a population under high mutation rates using analytical methods and simulations, finding that deleterious mutation rate most strongly affects extinction time.

bioRxiv · Feb 1, 2022 · PreprintEvolutionary Biology

The fitness landscape of the codon space across environments

I. Fragata, S. Matuszweski, M. A. Schmitz, T. Bataillon, J. D. Jensen, C. Bank

The paper quantifies the fitness effects of synonymous mutations across environments in yeast using Bayesian methods and shows their impact on evolutionary dynamics.

bioRxiv · Jun 27, 2018Evolutionary Biology