Visualization, modelling and prediction in soil microbiology.

Nat Rev Microbiol

Institute for Research on Environment and Sustainability, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.

Published: September 2007

AI Article Synopsis

  • New techniques for studying microbial communities and soil environments enhance our ability to find and identify microorganisms, pushing soil microbiology beyond mere cataloguing.
  • Embracing a systems science approach will allow us to understand the structures of microbial communities and their impacts on soil functions.
  • To effectively model microbial community development, there's a need to combine experimental and theoretical methods that consider the varying conditions found in soil environments.

Article Abstract

The introduction of new approaches for characterizing microbial communities and imaging soil environments has benefited soil microbiology by providing new ways of detecting and locating microorganisms. Consequently, soil microbiology is poised to progress from simply cataloguing microbial complexity to becoming a systems science. A systems approach will enable the structures of microbial communities to be characterized and will inform how microbial communities affect soil function. Systems approaches require accurate analyses of the spatio-temporal properties of the different microenvironments present in soil. In this Review we advocate the need for the convergence of the experimental and theoretical approaches that are used to characterize and model the development of microbial communities in soils.

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Source
http://dx.doi.org/10.1038/nrmicro1714DOI Listing

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