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How to Process Samples for Metabolomics in Ecology: A Comparative Study of Preanalytical Storage Methods
Nathalie Le Bris1, Axel Beringue1, Johanna Rivas1
1ECOBIO (Ecosystèmes, biodiversité, évolution)-UMR 6553, CNRS, Université de Rennes, Rennes, France.
Preanalytical processing significantly impacts metabolic profiles in ecological samples. Freeze-drying and storage duration/temperature alter metabolite levels, necessitating careful sample handling for reliable metabolomics research.
Area of Science:
- Metabolomics
- Ecological studies
- Analytical chemistry
Background:
- Metabolomics enables understanding organismal responses to environmental factors.
- Preanalytical sample processing effects on metabolic profiles are poorly understood, especially in ecological contexts.
- Field sampling for ecological studies often involves logistical challenges impacting sample integrity.
Purpose of the Study:
- To evaluate the impact of storage duration, temperature, and freeze-drying on metabolic profiles.
- To assess these effects across different biological matrices relevant to ecological studies.
- To provide recommendations for reliable preanalytical sample processing in ecological research.
Main Methods:
- Targeted metabolomics using gas chromatography-mass spectrometry (GC-MS).
- Analysis of 60 metabolites in lesser mealworm, fruit fly, and perennial ryegrass.
- Assessment of samples subjected to varying storage durations (-80°C) and freeze-drying.
Main Results:
- Freeze-drying caused significant metabolic shifts, altering over half of quantified metabolites.
- Several amino acids increased more than fourfold after freeze-drying.
- Metabolic profiles changed gradually over 6 months of storage, even at -80°C.
- Preanalytical and storage effects were consistent across insect and plant matrices.
Conclusions:
- Preanalytical processing, particularly freeze-drying and storage, significantly alters metabolic profiles.
- Standardized protocols are crucial for reliable metabolomics in ecological studies.
- Recommendations are provided to mitigate preanalytical variability considering practical constraints.
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