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分枝杆菌生长的群体密度依赖性同步:基于BACTEC MGIT 960荧光的耦合生物物理和化学过程分析及数学建模

Ensemble density-dependent synchronization of mycobacterial growth: BACTEC MGIT 960 fluorescence-based analysis and mathematical modelling of coupled biophysical and chemical processes.

作者信息

Lavrova Anastasia I, Dogonadze Marine Z, Sychev Alexander V, Manicheva Olga A, Postnikov Eugene B

机构信息

Medical Department, St-Petersburg University, Universitetskaya emb 7-9, 199034, Saint-Petersburg, Russia.

St-Petersburg State Research Institute of Phthisiopulmonology, Lygovsky av. 2-4, 191036, Saint-Petersburg, Russia.

出版信息

AIMS Microbiol. 2022 Jun 17;8(2):208-226. doi: 10.3934/microbiol.2022017. eCollection 2022.

Abstract

This study presents an analysis of growth data obtained using the BACTEC MGIT 960 system and respective mathematical models. The system is based on the detection of a decrease in oxygen level in the broth due to the bacterial respiration. It is shown that recordings sampled with a 1 hour rate provide an opportunity to distinguish between the oxygen consumption of growing cells and active cells division when the density of micro-organisms is sufficient to enter into the synchronized division mode. More specifically, the growth of culture is continuous only with large initial dilutions; otherwise, there are jumps between different growth stages with a time interval of 13-15 h. The combination of the oxygen-quenching kinetics for an analytic reagent and the population growth kinetics resulted in a mathematical model, which consists of mixing Verhulst's and Gompertz's models. The parameters of such mixing and switching between the models' prevalences are discussed with respect to oxygen uptake reactions reflected in the changes in the experimentally registered fluorescence level.

摘要

本研究对使用BACTEC MGIT 960系统获得的生长数据以及相应的数学模型进行了分析。该系统基于检测肉汤中由于细菌呼吸导致的氧气水平下降。结果表明,当微生物密度足以进入同步分裂模式时,以1小时速率采样的记录提供了区分生长细胞的氧气消耗和活跃细胞分裂的机会。更具体地说,只有在初始稀释度较大时培养物的生长才是连续的;否则,在不同生长阶段之间会有13 - 15小时的时间间隔跳跃。分析试剂的氧猝灭动力学与群体生长动力学相结合,产生了一个数学模型,该模型由Verhulst模型和Gompertz模型混合而成。针对实验记录的荧光水平变化所反映的氧气摄取反应,讨论了这种混合以及模型优势之间切换的参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9466/9329876/159428bce0bb/microbiol-08-02-017-g001.jpg

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