Visualization, modelling and prediction in soil microbiology.
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.
Institute for Research on Environment and Sustainability, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK. tony.odonnell@newcastle.ac.uk
Anthony G
AG
O'Donnell
Iain M
IM
Young
Steven P
SP
Rushton
Mark D
MD
Shirley
John W
JW
Crawford
D001419:Bacteria / Q000737:chemistry / Q000235:genetics / Q000254:growth & development; D017753:Ecosystem; D017404:In Situ Hybridization, Fluorescence; D013058:Mass Spectrometry; D008962:Models, Theoretical; D012988:Soil Microbiology