Alfinito Eleonora, Beccaria Matteo
Department of Mathematics and Physics 'Ennio De Giorgi', University of Salento, 73100, Lecce, Italy.
National Institute for Nuclear Physics, INFN, Sezione di Lecce, via Arnesano, 73100, Lecce, Italy.
Eur Biophys J. 2025 Apr 2. doi: 10.1007/s00249-025-01743-1.
The revival mechanism in dormant bacteria is a puzzling and open issue. We propose a model of information diffusion on a regular grid where agents represent bacteria and their mutual interactions implement quorum sensing. Agents may have different metabolic characteristics corresponding to multiple phenotypes. The intra/inter phenotype cooperation is analyzed under different metabolic and productivity conditions. We study the interactions between rapidly reproducing active bacteria and non-reproducing quiescent bacteria. We highlight the conditions under which the quiescent bacteria may revive. The occurrence of revival is generally related to a change in environmental conditions. Our results support this picture showing that revival can be mediated by the presence of different catalyst bacteria that produce the necessary resources.
休眠细菌中的复苏机制是一个令人困惑的开放性问题。我们提出了一种在规则网格上的信息扩散模型，其中主体代表细菌，它们之间的相互作用实现群体感应。主体可能具有对应多种表型的不同代谢特征。在不同的代谢和生产力条件下分析了表型内/表型间的合作。我们研究了快速繁殖的活跃细菌与不繁殖的静止细菌之间的相互作用。我们强调了静止细菌可能复苏的条件。复苏的发生通常与环境条件的变化有关。我们的结果支持了这一观点，即复苏可以由产生必要资源的不同催化细菌的存在来介导。
