Jan-Ulrich Kreft

TL;DR: In this paper, the authors argue that the ability to predict and manage the function of these highly complex, dynamically changing communities is limited, and that close coordination of experimental data collection and method development with mathematical model building is needed to achieve significant progress in understanding of microbial dynamics and function.

TL;DR: It is argued that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building, and that such integration is needed to achieve significant progress in understanding of MC dynamics and function.

TL;DR: It is argued that these conflicting concepts can be unified by a new hypothesis, efficiency sensing, and that some of the problems associated with signalling in complex environments, as well as the problem of maintaining honesty in signalling, can be avoided when the signalling cells grow in microcolonies.

TL;DR: A new generic measure of growth synchrony is proposed to quantify the loss of synchrony due to random variation of cell parameters or spatial heterogeneity in the BacSim model.

TL;DR: This IbM is version 2 of BacSim, a model of Escherichia coli colony growth, which was developed into a two-dimensional multi-substrate, multi-species model of nitrifying biofilms, and agreed with the established biomass-based model (BbM) of Picioreanu and others.