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Review
. 2012 Jun;23(3):431-6.
doi: 10.1016/j.copbio.2011.11.017. Epub 2011 Dec 7.

Characterizing microbial communities through space and time

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Review

Characterizing microbial communities through space and time

Antonio Gonzalez et al. Curr Opin Biotechnol. 2012 Jun.

Abstract

Until recently, the study of microbial diversity has mainly been limited to descriptive approaches, rather than predictive model-based analyses VSports手机版. The development of advanced analytical tools and decreasing cost of high-throughput multi-omics technologies has made the later approach more feasible. However, consensus is lacking as to which spatial and temporal scales best facilitate understanding of the role of microbial diversity in determining both public and environmental health. Here, we review the potential for combining these new technologies with both traditional and nascent spatio-temporal analysis methods. The fusion of proper spatio-temporal sampling, combined with modern multi-omics and computational tools, will provide insight into the tracking, development and manipulation of microbial communities. .

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Figure 1
Figure 1. Improving our understanding of the variability of microbial communities
Spatial and temporal studies ranging in scale from that of individual taxa to communities have allowed us to detect patterns of distribution. However, in order to be able to fully understand the nature and ranges of variability in microbial systems, research focusing on improving our ability to predict whole communities across heterogenous space and time is much needed. Building upon existing studies and tools of analysis will help us move from simply describing statistical patterns to developing better predictive models. The accumulation of spatio-temporal studies for microbial communities across different ecosystems will provide essential information about the expected scales of variability, allowing for better biological and ecological interpretations of deviations from normal ranges of variability.

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