Cargando…
Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
In the presence of oxygen (O(2)) the model bacterium Escherichia coli is able to conserve energy by aerobic respiration. Two major terminal oxidases are involved in this process - Cyo has a relatively low affinity for O(2) but is able to pump protons and hence is energetically efficient; Cyd has a h...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998891/ https://www.ncbi.nlm.nih.gov/pubmed/24763195 http://dx.doi.org/10.1371/journal.pcbi.1003595 |
_version_ | 1782313430572597248 |
---|---|
author | Bai, Hao Rolfe, Matthew D. Jia, Wenjing Coakley, Simon Poole, Robert K. Green, Jeffrey Holcombe, Mike |
author_facet | Bai, Hao Rolfe, Matthew D. Jia, Wenjing Coakley, Simon Poole, Robert K. Green, Jeffrey Holcombe, Mike |
author_sort | Bai, Hao |
collection | PubMed |
description | In the presence of oxygen (O(2)) the model bacterium Escherichia coli is able to conserve energy by aerobic respiration. Two major terminal oxidases are involved in this process - Cyo has a relatively low affinity for O(2) but is able to pump protons and hence is energetically efficient; Cyd has a high affinity for O(2) but does not pump protons. When E. coli encounters environments with different O(2) availabilities, the expression of the genes encoding the alternative terminal oxidases, the cydAB and cyoABCDE operons, are regulated by two O(2)-responsive transcription factors, ArcA (an indirect O(2) sensor) and FNR (a direct O(2) sensor). It has been suggested that O(2)-consumption by the terminal oxidases located at the cytoplasmic membrane significantly affects the activities of ArcA and FNR in the bacterial nucleoid. In this study, an agent-based modeling approach has been taken to spatially simulate the uptake and consumption of O(2) by E. coli and the consequent modulation of ArcA and FNR activities based on experimental data obtained from highly controlled chemostat cultures. The molecules of O(2), transcription factors and terminal oxidases are treated as individual agents and their behaviors and interactions are imitated in a simulated 3-D E. coli cell. The model implies that there are two barriers that dampen the response of FNR to O(2), i.e. consumption of O(2) at the membrane by the terminal oxidases and reaction of O(2) with cytoplasmic FNR. Analysis of FNR variants suggested that the monomer-dimer transition is the key step in FNR-mediated repression of gene expression. |
format | Online Article Text |
id | pubmed-3998891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39988912014-04-29 Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli Bai, Hao Rolfe, Matthew D. Jia, Wenjing Coakley, Simon Poole, Robert K. Green, Jeffrey Holcombe, Mike PLoS Comput Biol Research Article In the presence of oxygen (O(2)) the model bacterium Escherichia coli is able to conserve energy by aerobic respiration. Two major terminal oxidases are involved in this process - Cyo has a relatively low affinity for O(2) but is able to pump protons and hence is energetically efficient; Cyd has a high affinity for O(2) but does not pump protons. When E. coli encounters environments with different O(2) availabilities, the expression of the genes encoding the alternative terminal oxidases, the cydAB and cyoABCDE operons, are regulated by two O(2)-responsive transcription factors, ArcA (an indirect O(2) sensor) and FNR (a direct O(2) sensor). It has been suggested that O(2)-consumption by the terminal oxidases located at the cytoplasmic membrane significantly affects the activities of ArcA and FNR in the bacterial nucleoid. In this study, an agent-based modeling approach has been taken to spatially simulate the uptake and consumption of O(2) by E. coli and the consequent modulation of ArcA and FNR activities based on experimental data obtained from highly controlled chemostat cultures. The molecules of O(2), transcription factors and terminal oxidases are treated as individual agents and their behaviors and interactions are imitated in a simulated 3-D E. coli cell. The model implies that there are two barriers that dampen the response of FNR to O(2), i.e. consumption of O(2) at the membrane by the terminal oxidases and reaction of O(2) with cytoplasmic FNR. Analysis of FNR variants suggested that the monomer-dimer transition is the key step in FNR-mediated repression of gene expression. Public Library of Science 2014-04-24 /pmc/articles/PMC3998891/ /pubmed/24763195 http://dx.doi.org/10.1371/journal.pcbi.1003595 Text en © 2014 Bai et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bai, Hao Rolfe, Matthew D. Jia, Wenjing Coakley, Simon Poole, Robert K. Green, Jeffrey Holcombe, Mike Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli |
title | Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
|
title_full | Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
|
title_fullStr | Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
|
title_full_unstemmed | Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
|
title_short | Agent-Based Modeling of Oxygen-Responsive Transcription Factors in Escherichia coli
|
title_sort | agent-based modeling of oxygen-responsive transcription factors in escherichia coli |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998891/ https://www.ncbi.nlm.nih.gov/pubmed/24763195 http://dx.doi.org/10.1371/journal.pcbi.1003595 |
work_keys_str_mv | AT baihao agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT rolfematthewd agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT jiawenjing agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT coakleysimon agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT poolerobertk agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT greenjeffrey agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli AT holcombemike agentbasedmodelingofoxygenresponsivetranscriptionfactorsinescherichiacoli |