Department of Biophysics, University of Michigan, United States.
Department of Biophysics, University of Michigan, United States.
Curr Opin Microbiol. 2023 Aug;74:102306. doi: 10.1016/j.mib.2023.102306. Epub 2023 Apr 11.
Bacteria are single-celled organisms, but the survival of microbial communities relies on complex dynamics at the molecular, cellular, and ecosystem scales. Antibiotic resistance, in particular, is not just a property of individual bacteria or even single-strain populations, but depends heavily on the community context. Collective community dynamics can lead to counterintuitive eco-evolutionary effects like survival of less resistant bacterial populations, slowing of resistance evolution, or population collapse, yet these surprising behaviors are often captured by simple mathematical models. In this review, we highlight recent progress - in many cases, advances driven by elegant combinations of quantitative experiments and theoretical models - in understanding how interactions between bacteria and with the environment affect antibiotic resistance, from single-species populations to multispecies communities embedded in an ecosystem.
细菌是单细胞生物,但微生物群落的生存依赖于分子、细胞和生态系统尺度上的复杂动态。特别是,抗生素耐药性不仅是单个细菌甚至是单菌株种群的特性,而是严重依赖于群落环境。群落的集体动态可能导致反直觉的生态进化效应,例如耐药性较低的细菌种群存活、耐药性进化减缓或种群崩溃,但这些令人惊讶的行为通常可以用简单的数学模型来捕捉。在这篇综述中,我们强调了最近的进展——在许多情况下,这些进展是通过定量实验和理论模型的巧妙结合推动的——以了解细菌之间以及与环境之间的相互作用如何影响抗生素耐药性,从单一种群到嵌入生态系统的多物种群落。