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Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process

In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients...

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Autores principales: Song, Hyun-Seob, Thomas, Dennis G., Stegen, James C., Li, Minjing, Liu, Chongxuan, Song, Xuehang, Chen, Xingyuan, Fredrickson, Jim K., Zachara, John M., Scheibe, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627231/
https://www.ncbi.nlm.nih.gov/pubmed/29046664
http://dx.doi.org/10.3389/fmicb.2017.01866
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author Song, Hyun-Seob
Thomas, Dennis G.
Stegen, James C.
Li, Minjing
Liu, Chongxuan
Song, Xuehang
Chen, Xingyuan
Fredrickson, Jim K.
Zachara, John M.
Scheibe, Timothy D.
author_facet Song, Hyun-Seob
Thomas, Dennis G.
Stegen, James C.
Li, Minjing
Liu, Chongxuan
Song, Xuehang
Chen, Xingyuan
Fredrickson, Jim K.
Zachara, John M.
Scheibe, Timothy D.
author_sort Song, Hyun-Seob
collection PubMed
description In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients, we developed a trait-based model that associates a community's traits with functional enzymes, instead of typically used species guilds (or functional guilds). This enzyme-based formulation allows to collectively describe biogeochemical functions of microbial communities without directly parameterizing the dynamics of species guilds, therefore being scalable to complex communities. As a key component of modeling, we accounted for microbial regulation occurring through transcriptional and translational processes, the dynamics of which was parameterized based on the temporal profiles of enzyme concentrations measured using a new signature peptide-based method. The simulation results using the resulting model showed several days of a time lag in enzymatic responses as observed in experiments. Further, the model showed that the delayed enzymatic reactions could be primarily controlled by transcriptional responses and that the dynamics of transcripts and enzymes are closely correlated. The developed model can serve as a useful tool for predicting biogeochemical processes in natural environments, either independently or through integration with hydrologic flow simulators.
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spelling pubmed-56272312017-10-18 Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process Song, Hyun-Seob Thomas, Dennis G. Stegen, James C. Li, Minjing Liu, Chongxuan Song, Xuehang Chen, Xingyuan Fredrickson, Jim K. Zachara, John M. Scheibe, Timothy D. Front Microbiol Microbiology In a recent study of denitrification dynamics in hyporheic zone sediments, we observed a significant time lag (up to several days) in enzymatic response to the changes in substrate concentration. To explore an underlying mechanism and understand the interactive dynamics between enzymes and nutrients, we developed a trait-based model that associates a community's traits with functional enzymes, instead of typically used species guilds (or functional guilds). This enzyme-based formulation allows to collectively describe biogeochemical functions of microbial communities without directly parameterizing the dynamics of species guilds, therefore being scalable to complex communities. As a key component of modeling, we accounted for microbial regulation occurring through transcriptional and translational processes, the dynamics of which was parameterized based on the temporal profiles of enzyme concentrations measured using a new signature peptide-based method. The simulation results using the resulting model showed several days of a time lag in enzymatic responses as observed in experiments. Further, the model showed that the delayed enzymatic reactions could be primarily controlled by transcriptional responses and that the dynamics of transcripts and enzymes are closely correlated. The developed model can serve as a useful tool for predicting biogeochemical processes in natural environments, either independently or through integration with hydrologic flow simulators. Frontiers Media S.A. 2017-09-29 /pmc/articles/PMC5627231/ /pubmed/29046664 http://dx.doi.org/10.3389/fmicb.2017.01866 Text en Copyright © 2017 Song, Thomas, Stegen, Li, Liu, Song, Chen, Fredrickson, Zachara and Scheibe. 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) or licensor 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
Song, Hyun-Seob
Thomas, Dennis G.
Stegen, James C.
Li, Minjing
Liu, Chongxuan
Song, Xuehang
Chen, Xingyuan
Fredrickson, Jim K.
Zachara, John M.
Scheibe, Timothy D.
Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title_full Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title_fullStr Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title_full_unstemmed Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title_short Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process
title_sort regulation-structured dynamic metabolic model provides a potential mechanism for delayed enzyme response in denitrification process
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627231/
https://www.ncbi.nlm.nih.gov/pubmed/29046664
http://dx.doi.org/10.3389/fmicb.2017.01866
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