Microorganisms in natural environments have often been treated as 'black bo
x' systems. Researchers have measured the inputs and outputs of the box, an
d have made bulk measurements on cell behaviour. However, unravelling the d
etails of the diversity and interactions that exist within these microbial
populations has proven exceptionally difficult. The information gained from
the black box approach has been invaluable, and has allowed models of glob
al foodwebs to be generated and tested. However, there is still little info
rmation about the interactions of individual microbial cells within natural
populations Such studies an essential to fully understand the integrated f
unctioning of ecosystems. To achieve this goal, researchers need to be able
to identify individual cells within a population, enumerate them, estimate
both viability and activity, and monitor changes in response to relevant p
arameters. Due to the diversity, heterogeneity and numbers of cells that ma
ke up these populations, these measurements require automation and speed. A
t present, the use of flow cytometry in conjunction with nucleic acid probe
s provides an excellent method with which to pursue such studies. (C) 2000
Elsevier Science B.V. All rights reserved.