ePrints

Visualization, modelling and prediction in soil microbiology

Lookup NU author(s): Professor Anthony O'Donnell, Professor Stephen Rushton, Dr Mark ShirleyORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

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.

Publication metadata

Author(s): O'Donnell AG, Young IM, Rushton SP, Shirley MD, Crawford JW

Publication type: Review

Publication status: Published

Journal: Nature Reviews Microbiology

Year: 2007

Volume: 5

Issue: 9

Pages: 689-699

ISSN (print): 1740-1526

ISSN (electronic): 1740-1534

URL: http://dx.doi.org/10.1038/nrmicro1714

DOI: 10.1038/nrmicro1714

PubMed id: 17676055

Share