Authors
Yili Qian, Freeman Lan, Ophelia S Venturelli
Publication date
2021/8/1
Source
Current opinion in microbiology
Volume
62
Pages
84-92
Publisher
Elsevier Current Trends
Description
Highlights
- Dynamic models are powerful tools to understand and engineer microbial communities.
- Model frameworks vary across scales and require different types of experimental data.
- Careful considerations should be given to model limitations and experimental designs.
- Integrating multiple types of models and data expedites understanding and design.
Microbial communities and their functions are shaped by complex networks of interactions among microbes and with their environment. While the critical roles microbial communities play in numerous environments have become increasingly appreciated, we have a very limited understanding of their interactions and how these interactions combine to generate community-level behaviors. This knowledge gap hinders our ability to predict community responses to perturbations and to design interventions that manipulate these communities to our benefit. Dynamic …
Total citations
Scholar articles
Y Qian, F Lan, OS Venturelli - Current opinion in microbiology, 2021