LAPSE:2018.0258
Published Article
LAPSE:2018.0258
Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists
July 31, 2018
With our growing understanding of the impact of microbial communities, understanding how such communities function has become a priority. The influence of microbial communities is widespread. Human-associated microbiota impacts health, environmental microbes determine ecosystem sustainability, and microbe-driven industrial processes are expanding. This broad range of applications has led to a wide range of approaches to analyze and describe microbial communities. In particular, theoretical work based on mathematical modeling has been a steady source of inspiration for explaining and predicting microbial community processes. Here, we survey some of the modeling approaches used in different contexts. We promote classifying different approaches using a unified platform, and encourage cataloging the findings in a database. We believe that the synergy emerging from a coherent collection facilitates a better understanding of important processes that determine microbial community functions. We emphasize the importance of close collaboration between theoreticians and experimentalists in formulating, classifying, and improving models of microbial communities.
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Keywords
community ecology, interspecies interactions, mathematical modeling, mechanistic modeling, microbial communities, phenomenological modeling
Subject
Suggested Citation
Zaccaria M, Dedrick S, Momeni B. Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists. (2018). LAPSE:2018.0258
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Journal Name
Processes
Volume
5
Issue
4
Article Number
E53
Year
2017
Publication Date
2017-09-25
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr5040053, Publication Type: Comment
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LAPSE:2018.0258
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doi:10.3390/pr5040053
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Jul 31, 2018
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