Dukovski Ilija, Golden Lauren, Zhang Jing, Osborne Melisa, Segrè Daniel, Korolev Kirill S
Bioinformatics Program, Faculty of Computing and Data Sciences, Boston University, Boston, MA, USA.
Biological Design Center, Boston University, Boston, MA, USA.
bioRxiv. 2024 Mar 14:2024.03.13.584915. doi: 10.1101/2024.03.13.584915.
Microbial colony growth is shaped by the physics of biomass propagation and nutrient diffusion, and by the metabolic reactions that organisms activate as a function of the surrounding environment. While microbial colonies have been explored using minimal models of growth and motility, full integration of biomass propagation and metabolism is still lacking. Here, building upon our framework for Computation of Microbial Ecosystems in Time and Space (COMETS), we combine dynamic flux balance modeling of metabolism with collective biomass propagation and demographic fluctuations to provide nuanced simulations of colonies. Simulations produced realistic colony morphology, consistent with our experiments. They characterize the transition between smooth and furcated colonies and the decay of genetic diversity. Furthermore, we demonstrate that under certain conditions, biomass can accumulate along "metabolic rings" that are reminiscent of coffee-stain rings, but have a completely different origin. Our approach is a key step towards predictive microbial ecosystems modeling.
微生物菌落的生长受到生物量传播和营养物质扩散的物理过程以及生物体根据周围环境激活的代谢反应的影响。虽然已经使用生长和运动的最小模型对微生物菌落进行了研究,但生物量传播和代谢的完全整合仍然缺乏。在此,基于我们的时空微生物生态系统计算框架(COMETS),我们将代谢的动态通量平衡建模与集体生物量传播和种群统计波动相结合,以提供对菌落的细致模拟。模拟产生了与我们的实验一致的逼真菌落形态。它们表征了光滑菌落和分叉菌落之间的转变以及遗传多样性的衰减。此外,我们证明在某些条件下,生物量可以沿着类似于咖啡渍环的“代谢环”积累,但起源却完全不同。我们的方法是迈向预测性微生物生态系统建模的关键一步。