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
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
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
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
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
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
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
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 <em>E. coli</em> 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
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
