Author

A. J. Tjalma

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· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell signaling & trafficking· 1 Organism:E. coli· 1

Frequent Co-Authors

F. J. Bruggeman· 2 shared D. H. de Groot· 1 shared E. van Nimwegen· 1 shared J. Goedhart· 1 shared L. Slim· 1 shared N. B. Becker· 1 shared P. R. ten Wolde· 1 shared R. Planque· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 14 mutual co-author links

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2 shared papersEvolutionary Biology

F. J. Bruggeman

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Author profile →

3 papers

Recent·Most cited

Trade-offs between cost and information in cellular prediction

A. J. Tjalma, V. Galstyan, J. Goedhart, L. Slim, N. B. Becker, P. R. ten Wolde

The paper shows that cellular networks can approach predictive information bounds for specific signal types but face trade-offs between information gain and cost, with implications for bacterial chemotaxis.

bioRxiv · Jan 10, 2023 · PreprintBiophysics

Coupling phenotype stability to growth rate overcomes limitations of bet-hedging strategies

D. H. de Groot, A. J. Tjalma, F. J. Bruggeman, E. van Nimwegen

This study shows that growth rate dependent stability (GRDS) overcomes the limitations of bet-hedging strategies in microbes by allowing adaptive exploration and stability based on growth rate.

bioRxiv · Apr 12, 2022 · PreprintEvolutionary Biology

Poor sensing maximises microbial fitness when few out of many signals are sensed

A. J. Tjalma, R. Planque, F. J. Bruggeman

The paper develops an evolutionary model showing that low-fidelity sensing can maximize microbial fitness when only a few signals are sensed among many possible ones.

bioRxiv · Apr 9, 2020 · PreprintEvolutionary Biology