Journal
FRONTIERS IN MICROBIOLOGY
Volume 3, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2012.00417
Keywords
microbial ecology; disturbance; stability; sensitivity; structure-function; perturbation; community structure; time series
Categories
Funding
- National Science Foundation [IOS-1041557]
- National Institutes of Health [7RC1DK086831-02]
- USDA-NIFA-AFRI grant [2010-38821-21603]
- West Virginia State University Gus R. Douglass Land-Grant Institute
- Swedish Research Council Formas
- U.S. National Science Foundation [MCB-0731913]
- Long-term Ecological Research Program
- National Research Initiative [2011-67019-30225]
- USDA National Institute of Food and Agriculture and the National Science Foundation [DEB-0842441]
- Office of Science (BER), US Department of Energy
- NSF Advancing Theory in Biology program [1604]
- NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [RC1DK086831] Funding Source: NIH RePORTER
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Microbial communities are at the heart of all ecosystems, and yet microbial community behavior in disturbed environments remains difficult to measure and predict. Understanding the drivers of microbial community stability, including resistance (insensitivity to disturbance) and resilience (the rate of recovery after disturbance) is important for predicting community response to disturbance. Here, we provide an overview of the concepts of stability that are relevant for microbial communities. First, we highlight insights from ecology that are useful for defining and measuring stability. To determine whether general disturbance responses exist for microbial communities, we next examine representative studies from the literature that investigated community responses to press (long-term) and pulse (short-term) disturbances in a variety of habitats. Then we discuss the biological features of individual microorganisms, of microbial populations, and of microbial communities that may govern overall community stability. We conclude with thoughts about the unique insights that systems perspectives informed by meta-omics data may provide about microbial community stability.
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