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Environmental drivers of metabolic heterogeneity in clonal microbial populations
Schreiber, F., & Ackermann, M. (2020). Environmental drivers of metabolic heterogeneity in clonal microbial populations. Current Opinion in Biotechnology, 62, 202-211. https://doi.org/10.1016/j.copbio.2019.11.018
Rapid evolution destabilizes species interactions in a fluctuating environment
Rodríguez-Verdugo, A., & Ackermann, M. (2021). Rapid evolution destabilizes species interactions in a fluctuating environment. ISME Journal, 15, 450-460. https://doi.org/10.1038/s41396-020-00787-9
Wide lag time distributions break a trade-off between reproduction and survival in bacteria
Moreno-Gámez, S., Kiviet, D. J., Vulin, C., Schlegel, S., Schlegel, K., van Doorn, G. S., & Ackermann, M. (2020). Wide lag time distributions break a trade-off between reproduction and survival in bacteria. Proceedings of the National Academy of Sciences of the United States of America PNAS, 117(31), 18729-18736. https://doi.org/10.1073/pnas.2003331117
Concurrent processes set <i>E. coli</i> cell division
Micali, G., Grilli, J., Osella, M., & Cosentino Lagomarsino, M. (2018). Concurrent processes set E. coli cell division. Science Advances, 4(11), eaau3324 (7 pp.). https://doi.org/10.1126/sciadv.aau3324
Dissecting the control mechanisms for DNA replication and cell division in <i>E. coli</i>
Micali, G., Grilli, J., Marchi, J., Osella, M., & Cosentino Lagomarsino, M. (2018). Dissecting the control mechanisms for DNA replication and cell division in E. coli. Cell Reports, 25(3), 761-771. https://doi.org/10.1016/j.celrep.2018.09.061
Maximal information transmission is compatible with ultrasensitive biological pathways
Micali, G., & Endres, R. G. (2019). Maximal information transmission is compatible with ultrasensitive biological pathways. Scientific Reports, 9(1), 16898 (13 pp.). https://doi.org/10.1038/s41598-019-53273-4
The empirical fluctuation pattern of &lt;em&gt;E. coli&lt;/em&gt; division control
Grilli, J., Cadart, C., Micali, G., Osella, M., & Cosentino Lagomarsino, M. (2018). The empirical fluctuation pattern of E. coli division control. Frontiers in Microbiology, 9, 1541 (10 pp.). https://doi.org/10.3389/fmicb.2018.01541
Cell aggregation is associated with enzyme secretion strategies in marine polysaccharide-degrading bacteria
D’Souza, G., Ebrahimi, A., Stubbusch, A., Daniels, M., Keegstra, J., Stocker, R., … Ackermann, M. (2023). Cell aggregation is associated with enzyme secretion strategies in marine polysaccharide-degrading bacteria. ISME Journal, 17, 703-711. https://doi.org/10.1038/s41396-023-01385-1
Changes in interactions over ecological time scales influence single-cell growth dynamics in a metabolically coupled marine microbial community
Daniels, M., van Vliet, S., & Ackermann, M. (2023). Changes in interactions over ecological time scales influence single-cell growth dynamics in a metabolically coupled marine microbial community. ISME Journal, 17(3), 406-416. https://doi.org/10.1038/s41396-022-01312-w
Metabolic activity affects the response of single cells to a nutrient switch in structured populations
Dal Co, A., Ackermann, M., & van Vliet, S. (2019). Metabolic activity affects the response of single cells to a nutrient switch in structured populations. Journal of the Royal Society Interface, 16(156), 20190182 (10 pp.). https://doi.org/10.1098/rsif.2019.0182
Short-range interactions govern the dynamics and functions of microbial communities
Dal Co, A., van Vliet, S., Kiviet, D. J., Schlegel, S., & Ackermann, M. (2020). Short-range interactions govern the dynamics and functions of microbial communities. Nature Ecology & Evolution, 4, 366-375. https://doi.org/10.1038/s41559-019-1080-2