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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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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| 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: | 1740-1526 |
| ISSN (Online): | 1740-1534 |
| Published Online: | 06 August 2007 |
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