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

Journal Article · 24 April 2018 · Processes

DOI: https://doi.org/10.3390/pr6050041 · OSTI ID:1457770

Song, Hyun-Seob  ^[1]

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1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Biological Sciences Division

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 the 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.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 1457770
• Report Number(s): PNNL-SA--133283; PII: 4511
• Journal Information: Processes, Journal Name: Processes Journal Issue: 5 Vol. 6; ISSN PROCCO; ISSN 2227-9717
• Publisher: Multidisciplinary Digital Publishing Institute (MDPI)Copyright Statement
• Country of Publication: United States
• Language: English