Visualization, modelling and prediction in soil microbiology

O'Donnell, A. G., Young, I. M., Rushton, S. P., Shirley, M. D. and Crawford, J. (2007) Visualization, modelling and prediction in soil microbiology. Nature Reviews Microbiology, 5, pp. 689-699. (doi: 10.1038/nrmicro1714) (PMID:17676055)

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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.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Crawford, Professor John
Authors: O'Donnell, A. G., Young, I. M., Rushton, S. P., Shirley, M. D., and Crawford, J.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Nature Reviews Microbiology
Publisher:Nature Research
ISSN (Online):1740-1534
Published Online:06 August 2007

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