Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA, 94720, USA.
Molecular Biophysics and Integrative Bioimaging Division, Lawrence Berkeley National Lab, Berkeley, CA, 94720, USA.
BMC Microbiol. 2024 Oct 29;24(1):441. doi: 10.1186/s12866-024-03566-0.
Bacterial communities are ubiquitous, found in natural ecosystems, such as soil, and within living organisms, like the human microbiome. The dynamics of these communities in diverse environments depend on factors such as spatial features of the microbial niche, biochemical kinetics, and interactions among bacteria. Moreover, in many systems, bacterial communities are influenced by multiple physical mechanisms, such as mass transport and detachment forces. One example is gut mucosal communities, where dense, closely packed communities develop under the concurrent influence of nutrient transport from the lumen and fluid-mediated detachment of bacteria. In this study, we model a mucosal niche through a coupled agent-based and finite-volume modeling approach. This methodology enables us to model bacterial interactions affected by nutrient release from various sources while adjusting individual bacterial kinetics. We explored how the dispersion and abundance of bacteria are influenced by biochemical kinetics in different types of metabolic interactions, with a particular focus on the trade-off between growth rate and yield. Our findings demonstrate that in competitive scenarios, higher growth rates result in a larger share of the niche space. In contrast, growth yield plays a critical role in neutralism, commensalism, and mutualism interactions. When bacteria are introduced sequentially, they cause distinct spatiotemporal effects, such as deeper niche colonization in commensalism and mutualism scenarios driven by species intermixing effects, which are enhanced by high growth yields. Moreover, sub-ecosystem interactions dictate the dynamics of three-species communities, sometimes yielding unexpected outcomes. Competitive, fast-growing bacteria demonstrate robust colonization abilities, yet they face challenges in displacing established mutualistic systems. Bacteria that develop a cooperative relationship with existing species typically obtain niche residence, regardless of their growth rates, although higher growth yields significantly enhance their abundance. Our results underscore the importance of bacterial niche dynamics in shaping community properties and succession, highlighting a new approach to manipulating microbial systems.
细菌群落无处不在,存在于自然生态系统中,如土壤,以及生物体中,如人类微生物组。这些群落在不同环境中的动态取决于微生物生境的空间特征、生化动力学以及细菌之间的相互作用等因素。此外,在许多系统中,细菌群落受到多种物理机制的影响,如物质传输和脱落力。一个例子是肠道黏膜群落,在营养物质从腔内向黏膜运输和流体介导的细菌脱落的共同影响下,密集、紧密堆积的群落得以发展。在这项研究中,我们通过基于代理的耦合和有限体积建模方法来模拟黏膜生境。这种方法使我们能够在调整单个细菌动力学的同时,对受各种来源营养物质释放影响的细菌相互作用进行建模。我们探讨了生化动力学如何影响不同类型代谢相互作用中的细菌分散和丰度,特别关注生长速率和产率之间的权衡。我们的研究结果表明,在竞争场景中,较高的生长速率会导致更多的生境空间份额。相比之下,生长产率在中性、共生和互利关系中起着关键作用。当细菌依次引入时,它们会在共生和互利场景中引起明显的时空效应,如通过物种混合效应导致更深的生境定植,并且高生长产率会增强这种效应。此外,亚生态系统相互作用决定了三物种群落的动态,有时会产生意想不到的结果。竞争、快速生长的细菌表现出强大的定植能力,但它们在取代已建立的互利系统时面临挑战。与现有物种建立合作关系的细菌通常会获得生境居留权,而不论其生长速率如何,尽管较高的生长产率会显著提高其丰度。我们的研究结果强调了细菌生境动态在塑造群落性质和演替方面的重要性,为操纵微生物系统提供了一种新方法。