Plant Biol (Stuttg) 2007; 9: e12-e19
DOI: 10.1055/s-2007-964961
Research Paper

Georg Thieme Verlag Stuttgart KG · New York

Why Plant Volatile Analysis Needs Bioinformatics – Detecting Signal from Noise in Increasingly Complex Profiles

N. M. van Dam1 , G. M. Poppy2
  • 1Netherlands Institute of Ecology (NIOO-KNAW), Multitrophic Interactions Department, P.O. Box 40, 6666 ZG Heteren, The Netherlands
  • 2School of Biological Sciences, University of Southampton, Biomedical Sciences Building, Bassett Crescent East, Southampton SO16 7PX, UK
Weitere Informationen

Publikationsverlauf

Received: November 2, 2006

Accepted: December 27, 2006

Publikationsdatum:
04. April 2007 (online)

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Abstract

Plant volatile analysis may be the oldest form of what now is called plant “metabolomic” analysis. A wide array of volatile organic compounds (VOCs), such as alkanes, alcohols, isoprenoids, and esters, can be collected simultaneously from the plant headspace, either within the laboratory or in the field. Increasingly faster and more sensitive analysis techniques allow detection of an ever-growing number of compounds in decreasing concentrations. However, the myriads of data becoming available from such experiments do not automatically increase our ecological and evolutionary understanding of the roles these VOCs play in plant-insect interactions. Herbivores and parasitoids responding to changes in VOC emissions are able to perceive minute changes within a complex VOC background. Plants modified in genes involved in VOC synthesis may be valuable for the evaluation of changes in plant-animal interactions compared to tests with synthetic compounds, as they allow changes to be made within the context of a more complex profile. We argue that bioinformatics is an essential tool to integrate statistical analysis of plant VOC profiles with insect behavioural data. The implementation of statistical techniques such as multivariate analysis (MVA) and meta-analysis is of the utmost importance to interpreting changes in plant VOC mixtures. MVA focuses on differences in volatile patterns rather than in single compounds. Therefore, it more closely resembles the information processing in insects that base their behavioural decisions on differences in VOC profiles between plants. Meta-analysis of different datasets will reveal general patterns pertaining to the ecological role of VOC in plant-insect interactions. Successful implementation of bioinformatics in VOC research also includes the development of MVA that integrate time-resolved chemical and behavioural analyses, as well as databases that link plant VOCs to their effects on insects.

References

N. M. van Dam

Netherlands Institute of Ecology (NIOO-KNAW)
Multitrophic Interactions Department

P.O. Box 40

6666 ZG Heteren

The Netherlands

eMail: n.vandam@nioo.knaw.nl

Guest Editor: F. Loreto