Development of high-throughput metabolomics technologies: Application to studying the flowering time in Arabidopsis thaliana
EMSL Project ID
49679
Abstract
The future trajectory of metabolomics and its applications largely depends on the analytical capabilities of NMR and MS and their combination. Although the use of both NMR and MS methods is increasing, in the majority of these studies the two methods are essentially implemented independently from each other. This approach does not fully capitalize on the complementary strengths of these two analytical techniques. Our goal in this proposal is to develop advanced sample preparation, hyphenation and computational approaches with enhanced integration of NMR and MS. We will use these capabilities for accurate and high-throughput identification and quantitation of known and unknown metabolites to elucidate the metabolic underpinnings of shifts in flowering time in response to atmospheric [CO2] rise in a model plant organism, Arabidopsis thaliana.
Project Details
Start Date
2016-11-17
End Date
2019-09-30
Status
Closed
Released Data Link
Team
Principal Investigator
Co-Investigator(s)
Team Members
Related Publications
Bingol A.K. 2018. "Recent Advances in Targeted and Untargeted Metabolomics by NMR and MS/NMR Methods." High-Throughput 7, no. 2:Article No. 9. PNNL-SA-133346. doi:10.3390/ht7020009
Boiteau R.M., D.W. Hoyt, C.D. Nicora, H.A. Kinmonth-Schultz, J.K. Ward, and A.K. Bingol. 2018. "Structure Elucidation of Unknown Metabolites in Metabolomics by Combined NMR and MS/MS Prediction." Metabolites 8, no. 1:Article No. 8. PNNL-SA-129343. doi:10.3390/metabo8010008