Compound-Specific Isotope Analysis of Amino Acid Labeling with Stable Isotope Nitrogen (15N) in Higher Plants

• Published in: Chromatographia Vol. 79; no. 17-18; pp. 1197 - 1205
• Main Authors: Zhang, Zhongyi, Xiao, Huayun, Zheng, Nengjian, Gao, Xiaofei, Zhu, RenGuo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016; Springer Nature B.V
• Subjects: Amino acids; Analytical Chemistry; Cation exchanging; Chemistry; Chemistry and Materials Science; Chromatography; Laboratory Medicine; Original; Pharmacy; Proteomics; Free amino acid; GC-C-IRMS; δ; N-labeling; N
• ISSN: 0009-5893; 1612-1112
• DOI: 10.1007/s10337-016-3126-9

Individual free amino acid δ 15 N values in plant tissue reflect the metabolic pathways involved in their biosynthesis and catabolism and could thus aid understanding of environmental stress and anthropogenic effects on plant metabolism. In this study, compound-specific nitrogen isotope analysis of amino acid by gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) was carried out to determine individual free amino acid δ 15 N values. High correlations were observed between the δ 15 N values obtained by GC-C-IRMS and elemental analyzer-isotope ratio mass spectrometry (EA-IRMS) determinations, and the mean precision measured was better than 1 ‰. Cation-exchange chromatography was employed to purify the sample, and the difference between prior to and following passage through the resin was within 1 ‰. The amino acid δ 15 N values of plant leave samples following incubation in 15 N-nitrate at different time points were determined. A typical foliar free amino acid 15 N-enrichment pattern was found, and glutamine was the most rapidly labeled amino acid; other amino acids derived from the GS-GOGAT cycle were also enriched. The pyruvate family amino acids were labeled less quickly followed by the aromatic amino acids. This study highlighted that amino acid metabolism pathways had a major effect on the δ 15 N values. With the known amino acid metabolism pathways and δ 15 N values determined by the presented method, the influence of various external factors on the metabolic cycling of amino acid can be understood well.