Cargando…
Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth
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 t...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700366/ https://www.ncbi.nlm.nih.gov/pubmed/31456784 http://dx.doi.org/10.3389/fmicb.2019.01871 |
_version_ | 1783444857601130496 |
---|---|
author | Gogulancea, Valentina González-Cabaleiro, Rebeca Li, Bowen Taniguchi, Denis Jayathilake, Pahala Gedara Chen, Jinju Wilkinson, Darren Swailes, David McGough, Andrew Stephen Zuliani, Paolo Ofiteru, Irina Dana Curtis, Thomas P. |
author_facet | Gogulancea, Valentina González-Cabaleiro, Rebeca Li, Bowen Taniguchi, Denis Jayathilake, Pahala Gedara Chen, Jinju Wilkinson, Darren Swailes, David McGough, Andrew Stephen Zuliani, Paolo Ofiteru, Irina Dana Curtis, Thomas P. |
author_sort | Gogulancea, Valentina |
collection | PubMed |
description | 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 5·10(5) 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. |
format | Online Article Text |
id | pubmed-6700366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67003662019-08-27 Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth Gogulancea, Valentina González-Cabaleiro, Rebeca Li, Bowen Taniguchi, Denis Jayathilake, Pahala Gedara Chen, Jinju Wilkinson, Darren Swailes, David McGough, Andrew Stephen Zuliani, Paolo Ofiteru, Irina Dana Curtis, Thomas P. Front Microbiol Microbiology 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 5·10(5) 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. Frontiers Media S.A. 2019-08-13 /pmc/articles/PMC6700366/ /pubmed/31456784 http://dx.doi.org/10.3389/fmicb.2019.01871 Text en Copyright © 2019 Gogulancea, González-Cabaleiro, Li, Taniguchi, Jayathilake, Chen, Wilkinson, Swailes, McGough, Zuliani, Ofiteru and Curtis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Gogulancea, Valentina González-Cabaleiro, Rebeca Li, Bowen Taniguchi, Denis Jayathilake, Pahala Gedara Chen, Jinju Wilkinson, Darren Swailes, David McGough, Andrew Stephen Zuliani, Paolo Ofiteru, Irina Dana Curtis, Thomas P. Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title | Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title_full | Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title_fullStr | Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title_full_unstemmed | Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title_short | Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth |
title_sort | individual based model links thermodynamics, chemical speciation and environmental conditions to microbial growth |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700366/ https://www.ncbi.nlm.nih.gov/pubmed/31456784 http://dx.doi.org/10.3389/fmicb.2019.01871 |
work_keys_str_mv | AT gogulanceavalentina individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT gonzalezcabaleirorebeca individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT libowen individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT taniguchidenis individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT jayathilakepahalagedara individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT chenjinju individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT wilkinsondarren individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT swailesdavid individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT mcgoughandrewstephen individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT zulianipaolo individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT ofiteruirinadana individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth AT curtisthomasp individualbasedmodellinksthermodynamicschemicalspeciationandenvironmentalconditionstomicrobialgrowth |