Visualization, modelling and prediction in soil microbiology

Anthony G. O'Donnell, Iain M. Young, Steven P. Rushton, Mark D. Shirley, John W. Crawford

Research output: Contribution to journalArticle

  • 76 Citations

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.
Original languageEnglish
Pages (from-to)689-699
Number of pages11
JournalNature Reviews Microbiology
Volume5
DOIs
StatePublished - Sep 2007

Fingerprint

Soil Microbiology
Soil
Spatio-Temporal Analysis

Cite this

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

O'Donnell, Anthony G.; Young, Iain M.; Rushton, Steven P.; Shirley, Mark D.; Crawford, John W. / Visualization, modelling and prediction in soil microbiology.

In: Nature Reviews Microbiology, Vol. 5, 09.2007, p. 689-699.

Research output: Contribution to journalArticle

@article{f260c90d065e4d2182818f70caa57651,
title = "Visualization, modelling and prediction in soil microbiology",
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.",
author = "O'Donnell, {Anthony G.} and Young, {Iain M.} and Rushton, {Steven P.} and Shirley, {Mark D.} and Crawford, {John W.}",
year = "2007",
month = "9",
doi = "10.1038/nrmicro1714",
volume = "5",
pages = "689--699",
journal = "Nature Reviews Microbiology",

}

O'Donnell, AG, Young, IM, Rushton, SP, Shirley, MD & Crawford, JW 2007, 'Visualization, modelling and prediction in soil microbiology' Nature Reviews Microbiology, vol 5, pp. 689-699. DOI: 10.1038/nrmicro1714

Visualization, modelling and prediction in soil microbiology. / O'Donnell, Anthony G.; Young, Iain M.; Rushton, Steven P.; Shirley, Mark D.; Crawford, John W.

In: Nature Reviews Microbiology, Vol. 5, 09.2007, p. 689-699.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Visualization, modelling and prediction in soil microbiology

AU - O'Donnell,Anthony G.

AU - Young,Iain M.

AU - Rushton,Steven P.

AU - Shirley,Mark D.

AU - Crawford,John W.

PY - 2007/9

Y1 - 2007/9

N2 - 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.

AB - 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.

U2 - 10.1038/nrmicro1714

DO - 10.1038/nrmicro1714

M3 - Article

VL - 5

SP - 689

EP - 699

JO - Nature Reviews Microbiology

T2 - Nature Reviews Microbiology

JF - Nature Reviews Microbiology

ER -

O'Donnell AG, Young IM, Rushton SP, Shirley MD, Crawford JW. Visualization, modelling and prediction in soil microbiology. Nature Reviews Microbiology. 2007 Sep;5:689-699. Available from, DOI: 10.1038/nrmicro1714