Entometabolomics: applications of modern analytical techniques to insect studies

Snart, Charles J.P. and Hardy, Ian C.W. and Barrett, David A. (2015) Entometabolomics: applications of modern analytical techniques to insect studies. Entomologia Experimentalis et Applicata, 155 (1). pp. 1-17. ISSN 1570-7458

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Abstract

Metabolomic analyses can reveal associations between an organism's metabolome and further aspects of its phenotypic state, an attractive prospect for many life-sciences researchers. The metabolomic approach has been employed in some, but not many, insect study systems, starting in 1990 with the evaluation of the metabolic effects of parasitism on moth larvae. Metabolomics has now been applied to a variety of aspects of insect biology, including behaviour, infection, temperature stress responses, CO2 sedation, and bacteria–insect symbiosis. From a technical and reporting standpoint, these studies have adopted a range of approaches utilising established experimental methodologies. Here, we review current literature and evaluate the metabolomic approaches typically utilised by entomologists. We suggest that improvements can be made in several areas, including sampling procedures, the reduction in sampling and equipment variation, the use of sample extracts, statistical analyses, confirmation, and metabolite identification. Overall, it is clear that metabolomics can identify correlations between phenotypic states and underlying cellular metabolism that previous, more targeted, approaches are incapable of measuring. The unique combination of untargeted global analyses with high-resolution quantitative analyses results in a tool with great potential for future entomological investigations.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Snart, C. J.P., Hardy, I. C.W. and Barrett, D. A. (2015), Entometabolomics: applications of modern analytical techniques to insect studies. Entomol Exp Appl, 155: 1–17, which has been published in final form at http://dx.doi.org/10.1111/eea.12281. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Keywords: nuclear magnetic resonance, gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, multivariate data analysis
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Biosciences
University of Nottingham, UK > Faculty of Science > School of Pharmacy
Identification Number: 10.1111/eea.12281
Depositing User: Eprints, Support
Date Deposited: 23 Mar 2017 09:02
Last Modified: 13 Oct 2017 01:25
URI: http://eprints.nottingham.ac.uk/id/eprint/41500

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