Microbial community modeling : : prediction of microbial interactions and community dynamics / / edited by Hyun-Seob Song.

• TeilnehmendeR: Song, Hyun-Seob,
• Place / Publishing House: Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, [2018]; ©2018
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (294 pages)

Investigating the microbiome is on the frontier of science. It has the potential to resolve many issues in the realms of energy, food, human health, the environment, and biotechnology. Scientists are trying to understand, in a fundamental way, how microbes influence each other and how they organize into interaction networks. These are the keys to predicting and engineering community function and properties of the microbiome. In this regard, mathematical modeling and computational analysis play an increasing role. This book is a collection of contributions from lead scientists in the field. It provides innovative approaches and fresh perspectives for modeling environmental communities and engineered microbial consortia. Reading this book will give researchers a solid look at cutting-edge science in microbial community modeling, and at the remaining challenges such modeling poses.

Table of Contents

About the Special Issue Editor -- Preface to "Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics" -- Hyun-Seob Song / Special Issue: Microbial Community Modeling: Prediction of Microbial Interactions and Community Dynamics, doi: 10.3390/pr6050041 -- Emily B. Graham and James C. Stegen / Dispersal-Based Microbial Community Assembly Decreases Biogeochemical Function, doi: 10.3390/pr5040065 -- Ashley E. Beck, Hans C. Bernstein and Ross P. Carlson / Stoichiometric Network Analysis of Cyanobacterial Acclimation to PhotosynthesisAssociated Stresses Identifies Heterotrophic Niches, doi: 10.3390/pr5020032 -- Aisling J. Daly, Jan M. Baetens, Johanna Vandermaesen, Nico Boon, Dirk Springael and Bernard De Baets / Individual-Based Modelling of Invasion in Bioaugmented Sand Filter Communities, doi: 10.3390/pr6010002 -- Maxime Dumont, Jean-Jacques Godon and Jerome Harmand / Species Coexistence in Nitrifying Chemostats: A Model of Microbial Interactions, doi: 10.3390/pr4040051 -- Fadoua El Moustaid, Ross P. Carlson, Federica Villaand and Isaac Klapper / Photorespiration and Rate Synchronizationin a Phototroph-Heterotroph Microbial Consortium, doi: 10.3390/pr5010011 -- Poonam Phalak and Michael A. Henson / Byproduct Cross Feeding and Community Stability in an In Silico Biofilm Model of the Gut Microbiome, doi: 10.3390/pr5010013 -- Fiona Wanjiku Moejes, Ovidiu Popa, Antonella Succurro, Julie Maguire and Oliver Ebenhoh / Dynamics of the Bacterial Community Associated with Phaeodactylum tricornutum Cultures, doi: 10.3390/pr5040077 -- Andrea G. Capodaglio, Daniele Cecconet and Daniele Molognoni / An Integrated Mathematical Model of Microbial Fuel Cell Processes: Bioelectrochemical and Microbiologic Aspects, doi: 10.3390/pr5040073 -- St. Elmo Wilken, Mohan Saxena, Linda R. Petzold and Michelle A. O'Malley / In Silico Identification of Microbial Partners to Form Consortia with Anaerobic Fungi, doi: 10.3390/pr6010007 -- Tianyu Zhang / Modeling Biofilms: From Genes to Communities, doi: 10.3390/pr5010005 -- Marco Zaccaria, Sandra Dedrick and Babak Momeni / Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists, doi: 10.3390/pr5040053 -- Hyun-Seob Song, William R. Cannon, Alexander S. Beliaev and Allan Konopka / Mathematical Modeling of Microbial Community Dynamics: A Methodological Review, doi: 10.3390/pr2040711 -- Hyun-Seob Song, William R. Cannon, Alexander S. Beliaev and Allan Konopka / Correction: Song, H.-S., et al. Mathematical Modeling of Microbial Community Dynamics: A Methodological Review. Processes 2014, 2, 711-752, doi: 10.3390/pr3030699.