MCM extends Harcombe et al.'s framework to more versatile microbial ecological models that include arbitrary reaction kinetics (e.g., subject to product-inhibition) as well as dynamical environmental variables (e.g., pH) that influence, and are influenced by, microbial metabolism.
As mentioned in our responses to Reviewer 1, in contrast to COMETS, MCM can accommodate more versatile microbial ecological models that include, for example, dynamical environmental variables (such as pH or temperature, that can change in response to microbial metabolism), stochastic processes, phage predation, product inhibition, arbitrary uptake kinetics, reaction energetics and gene regulation.
MCM extends Harcombe et al.'s approach to more versatile microbial ecological models that include, for example, arbitrary dynamical environmental variables (e.g. pH and temperature), stochastic processes, phage predation, product inhibition, arbitrary uptake kinetics, reaction energetics and gene regulation.
Fortunately, tumors share many beneficial characteristics with microbial model systems that make them ideal for experimental evolution studies [ 86].
However, certain aspects of S. cerevisiae make parallels with metazoans difficult, but collaboration with the many other microbial models for aging that have been developed recently may greatly aid in resolving the microbial mechanisms behind CR.
The development of mathematical models that describe microbial kinetics in dynamic conditions is important for processes design.
These observations agree with current soil organic matter models that explicitly consider microbial physiology.
The new plethora of data should allow researchers to build predictive models that show how microbial communities will change in a warming world and its resulting impacts on oxygen production, carbon dioxide absorption, and ecosystem dynamics.
"Big advances have been made in recent years, and there are now models that simulate key microbial processes," said Dr Iain Hartley, from the University of Exeter, another author on the paper.
The various models that have been proposed for microbial biotransformations involving carbon hydroxylation and sulfide oxidation are reviewed.
