Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists
AbstractWith 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. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Zaccaria, M.; Dedrick, S.; Momeni, B. Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists. Processes 2017, 5, 53.
Zaccaria M, Dedrick S, Momeni B. Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists. Processes. 2017; 5(4):53.Chicago/Turabian Style
Zaccaria, Marco; Dedrick, Sandra; Momeni, Babak. 2017. "Modeling Microbial Communities: A Call for Collaboration between Experimentalists and Theorists." Processes 5, no. 4: 53.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.