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- Title
Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics.
- Authors
D'eon, Jessica C.; Lankadurai, Brian P.; Simpson, André J.; Reiner, Eric J.; Poirier, David G.; Vanlerberghe, Greg C.; Simpson, Myrna J.
- Abstract
Environmental metabolomics is a promising approach to study pollutant impacts to target organisms in both terrestrial and aquatic environments. To this end, both nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based methods are used to profile amino acids in different environmental metabolomic studies. However, these two methods have not been compared directly which is an important consideration for broader comparisons in the environmental metabolomics field. We compared the quantification of 18 amino acids in the tissue extracts of Daphnia magna, a common model organism used in both ecotoxicology and ecology, using both 1H NMR spectroscopy and liquid chromatography with tandem MS (LC-MS/MS). 1H NMR quantification of amino acids agreed with the LC-MS/MS quantification for 17 of 18 amino acids measured. We also tested both quantitative methods in a D. magna sub-lethal exposure study to copper and lithium. Again, both NMR and LC-MS/MS measurements showed agreement. We extended our analyses with extracts from the earthworm Eisenia fetida and the plant model Nicotiana tabacum. The concentrations of amino acids by both 1H NMR and LC-MS/MS, agreed and demonstrated the robustness of both techniques for quantitative metabolomics. These findings demonstrate the compatibility of these two analytical platforms for amino acid profiling in environmentally relevant model organisms and emphasizes that data from either method is robust for comparisons across studies to further build the knowledge base related to pollutant exposure impacts and toxic responses of diverse environmental organisms.
- Subjects
LIQUID chromatography-mass spectrometry; VERMICOMPOSTING; AMINO acids; NUCLEAR magnetic resonance spectroscopy; DAPHNIA magna; NUCLEAR magnetic resonance; EISENIA foetida
- Publication
Metabolites (2218-1989), 2023, Vol 13, Issue 3, p402
- ISSN
2218-1989
- Publication type
Article
- DOI
10.3390/metabo13030402