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JPR Advance Access published online on February 3, 2006

Journal of Plankton Research, doi:10.1093/plankt/fbi130
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received April 11, 2005
Accepted January 31, 2006

Article

Monitoring microbial predator-prey interactions: an experimental study using fatty acid biomarker and compound specific stable isotope techniques

David W Pond 1 *, Raymond JG Leakey 2, and Anthony E Fallick 3

1 British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, CB3 0ET, UK
2 Scottish Association for Marine Science, Dunstaffnage Marine Laboratory Oban, Argyll, PA37 1QA, UK
3 Scottish Universities Environmental Research Centre, East Kilbride, Glasgow, G75 0QF, UK

* To whom correspondence should be addressed.
David W Pond, E-mail: dwpo{at}bas.ac.uk


   Abstract

Naturally occurring microbial communities are complex, with autotrophs and heterotrophs often similarly sized and impossible to separate by conventional size fractionation approaches. However, if it was possible to identify specific compounds that are characteristic of particular groups of microbes and determine the stable isotope composition of these biomarkers, the requirement for size fractionation could potentially be negated. This work considered the usefulness of such an approach by analysis of a simple laboratory predator-prey system comprising Nanochloropsis oculata, an autotrophic flagellate prey and Oxyrrhis marina, a heterotrophic flagellate predator. In growth-grazing experiments the fatty acids 20:5(n-3) and 22:6(n-3) were used as biomarkers for N. oculata and O. marina respectively. Interpretation of {delta}13C values of these predator and prey fatty acid biomarkers was not straightforward since although isotopic signature of the O. marina biomarker was consistently enriched compared to that of its N. oculata prey, the magnitude of enrichment in 13C increased with age of culture (1.0 to 5.4 {per thousand}). Given the variability we observed in our experimental cultures, it will be difficult to apply this approach to complex field situations without a comprehensive understanding of the factors determining the {delta}13C values of specific biomarker molecules.


Communicating Editor: KJ Flynn


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