Review

Nature Reviews Microbiology 5, 689-699 (September 2007) | doi:10.1038/nrmicro1714

Visualization, modelling and prediction in soil microbiology

Anthony G. O'Donnell1, Iain M. Young2, Steven P. Rushton1, Mark D. Shirley1 & John W. Crawford2  About the authors

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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.

Author affiliations

  1. Institute for Research on Environment and Sustainability, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
  2. SIMBIOS Centre, University of Abertay, Dundee, Bell Street, Dundee, DD1 1HG, UK.

Correspondence to: Anthony G. O'Donnell1 Email: tony.odonnell@newcastle.ac.uk

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