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Title: Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics

Abstract

Microbial communities are networks of species, the interaction structure of which dynamically reorganizes in a varying environment. Even in a static condition, community dynamics are often difficult to predict due to highly nonlinear interspecies interactions. Understanding fundamental principles of microbial interactions is therefore key for predicting and harnessing community function and properties. As extensively reviewed previously, mathematical models and computational methods that can predictively link interactions to community behaviors are indispensable tools for achieving this goal. This Special Issue of Processes collects eleven papers from lead scientists and researchers active in the area under the topic of “Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics.” The collected papers cover various topics of interest: 1) two review/opinion papers discussing recent advances in biofilm modeling and specific issues for successful collaboration between experimentalists and theorists, 2) one paper on the dynamics of complex environmental communities, 3) six papers dealing with fundamental aspects of microbial interactions and stability in model communities, and 4) two papers on the development and utilization of microbial consortia for biotechnology applications.

Authors:
ORCiD logo
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1503593
Report Number(s):
PNNL-SA-134179
Journal ID: ISSN 2227-9717; PROCCO
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Processes
Additional Journal Information:
Journal Volume: 6; Journal Issue: 5; Journal ID: ISSN 2227-9717
Publisher:
Multidisciplinary Digital Publishing Institute (MDPI)
Country of Publication:
United States
Language:
English

Citation Formats

Song, Hyun-Seob. Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics. United States: N. p., 2018. Web. doi:10.3390/pr6050041.
Song, Hyun-Seob. Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics. United States. https://doi.org/10.3390/pr6050041
Song, Hyun-Seob. 2018. "Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics". United States. https://doi.org/10.3390/pr6050041.
@article{osti_1503593,
title = {Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics},
author = {Song, Hyun-Seob},
abstractNote = {Microbial communities are networks of species, the interaction structure of which dynamically reorganizes in a varying environment. Even in a static condition, community dynamics are often difficult to predict due to highly nonlinear interspecies interactions. Understanding fundamental principles of microbial interactions is therefore key for predicting and harnessing community function and properties. As extensively reviewed previously, mathematical models and computational methods that can predictively link interactions to community behaviors are indispensable tools for achieving this goal. This Special Issue of Processes collects eleven papers from lead scientists and researchers active in the area under the topic of “Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics.” The collected papers cover various topics of interest: 1) two review/opinion papers discussing recent advances in biofilm modeling and specific issues for successful collaboration between experimentalists and theorists, 2) one paper on the dynamics of complex environmental communities, 3) six papers dealing with fundamental aspects of microbial interactions and stability in model communities, and 4) two papers on the development and utilization of microbial consortia for biotechnology applications.},
doi = {10.3390/pr6050041},
url = {https://www.osti.gov/biblio/1503593}, journal = {Processes},
issn = {2227-9717},
number = 5,
volume = 6,
place = {United States},
year = {2018},
month = {4}
}

Works referenced in this record:

Photorespiration and Rate Synchronization in a Phototroph-Heterotroph Microbial Consortium
journal, March 2017


Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
journal, October 2014


In Silico Identification of Microbial Partners to Form Consortia with Anaerobic Fungi
journal, January 2018


Individual-Based Modelling of Invasion in Bioaugmented Sand Filter Communities
journal, January 2018


An Integrated Mathematical Model of Microbial Fuel Cell Processes: Bioelectrochemical and Microbiologic Aspects
journal, November 2017


Dynamics of the Bacterial Community Associated with Phaeodactylum tricornutum Cultures
journal, December 2017


Modeling Biofilms: From Genes to Communities
journal, January 2017


Species Coexistence in Nitrifying Chemostats: A Model of Microbial Interactions
journal, December 2016