Abstract

Individual based Models (IbM) must transition from research tools to engineering tools. To make the transition we must aspire to develop large, three dimensional and physically and biologically credible models. Biological credibility can be promoted by grounding, as far as possible, the biology in thermodynamics. Thermodynamic principles are known to have predictive power in microbial ecology. However, this in turn requires a model that incorporates pH and chemical speciation. Physical credibility implies plausible mechanics and a connection with the wider environment. Here, we propose a step toward that ideal by presenting an individual based model connecting thermodynamics, pH and chemical speciation and environmental conditions to microbial growth for 5·105 individuals. We have showcased the model in two scenarios: a two functional group nitrification model and a three functional group anaerobic community. In the former, pH and connection to the environment had an important effect on the outcomes simulated. Whilst in the latter pH was less important but the spatial arrangements and community productivity (that is, methane production) were highly dependent on thermodynamic and reactor coupling. We conclude that if IbM are to attain their potential as tools to evaluate the emergent properties of engineered biological systems it will be necessary to combine the chemical, physical, mechanical and biological along the lines we have proposed. We have still fallen short of our ideals because we cannot (yet) calculate specific uptake rates and must develop the capacity for longer runs in larger models. However, we believe such advances are attainable. Ideally in a common, fast and modular platform. For future innovations in IbM will only be of use if they can be coupled with all the previous advances.

Highlights

  • The microbial world is difficult or impossible to observe and with many processes and phenomena that transcend human experience and intuition

  • We present the main functionalities of a new Individual based models (IbM) framework, showcasing the impact of reactor coupling, pH variation and thermodynamic yield predictions on the growth of bacterial biofilms in aerobic and anaerobic conditions

  • The use of thermodynamics is a step toward “ab initio” modeling of microbial metabolisms in IbM that could be applied to almost any microbial system, as evidenced by our ability to model both a nitrifying and anaerobic systems

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Summary

Introduction

The microbial world is difficult or impossible to observe and with many processes and phenomena that transcend human experience and intuition. For the constant (or fixed) value case, we do not solve the reactor mass balance and consider the simulations decoupled. Reactor Coupling For the nitrification system, the boundary concentrations of O2 and CO2 were fixed in all simulations, assuming that through aeration they are kept constant at the top of the biofilm.

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