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Thermodynamic Concepts in the Study of Microbial Populations: Age Structure in Plasmodium falciparum Infected Red Blood Cells

机译:微生物种群研究中的热力学概念:恶性疟原虫感染的红细胞的年龄结构

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摘要

Variability is a hallmark of microbial systems. On the one hand, microbes are subject to environmental heterogeneity and undergo changeable conditions in their immediate surroundings. On the other hand, microbial populations exhibit high cellular diversity. The relation between microbial diversity and variability of population dynamics is difficult to assess. This connection can be quantitatively studied from a perspective that combines in silico models and thermodynamic methods and interpretations. The infection process of Plasmodium falciparum parasitizing human red blood cells under laboratory cultivation conditions is used to illustrate the potential of Individual-based models in the context of predictive microbiology and parasitology. Experimental data from several in vitro cultures are compared to the outcome of an individual-based model and analysed from a thermodynamic perspective. This approach allows distinguishing between intrinsic and external constraints that give rise to the diversity in the infection forms, and it provides a criterion to quantitatively define transient and stationary regimes in the culture. Increasing the ability of models to discriminate between different states of microbial populations enhances their predictive capability which finally leads to a better the control over culture systems. The strategy here presented is of general application and it can substantially improve modelling of other types of microbial communities.
机译:变异性是微生物系统的标志。一方面,微生物易受环境异质性的影响,并在其周围环境中经受变化的条件。另一方面,微生物种群表现出很高的细胞多样性。微生物多样性与种群动态变化之间的关系很难评估。可以从计算机模型,热力学方法和解释相结合的角度对这种联系进行定量研究。恶性疟原虫在实验室培养条件下寄生人红细胞的感染过程用于说明在预测性微生物学和寄生虫学背景下基于个体的模型的潜力。将来自几种体外培养的实验数据与基于个体的模型的结果进行比较,并从热力学角度进行分析。这种方法可以区分引起感染形式多样性的内在和外在制约因素,并且它为定量定义培养中的瞬时和静止状态提供了标准。提高模型区分微生物种群不同状态的能力可以增强其预测能力,最终可以更好地控制培养系统。本文介绍的策略具有普遍性,可以大大改善其他类型微生物群落的建模。

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