An Ancient Residue Metabolomics-Based Method to Distinguish Use of Closely Related Plant Species in Ancient Pipes
Abstract
Residues from ancient artifacts can help identify which plant species were used for their psychoactive properties, providing important information regarding the deep-time co-evolutionary relationship between plants and humans. However, relying on the presence or absence of one or several biomarkers has limited the ability to confidently connect residues to particular plants. We describe a comprehensive metabolomics-based approach that can distinguish closely related species and provide greater confidence in species use determinations. An ~1430-year-old pipe from central Washington State not only contained nicotine, but also had strong evidence for the smoking of Nicotiana quadrivalvis and Rhus glabra, as opposed to several other species in this pre-contact pipe. Analysis of a post-contact pipe suggested use of different plants, including the introduced trade tobacco, Nicotiana rustica. Ancient residue metabolomics provides a new frontier in archaeo-chemistry, with greater precision to investigate the evolution of drug use and similar plant-human co-evolutionary dynamics.
Acknowledgments
We would like to thank Mario Zimmermann for assisting with the experimental pipes; Anna Berim and Jeong-Jin Park for assistance with operation of the GC- and LC-MS instruments used in this investigation; Todd Coffey for statistical assistance; Amy Hetrick, Julie Thayer, Devon Thrasher, and Susan Vogtman for growth chamber and greenhouse assistance; and the USDA ARS National Plant Germplasm System for providing the Nicotiana seeds.
Footnotes
Funding. This research was supported by the National Science Foundation under Grant #1419506. We also acknowledge support from the National Science Foundation Graduate Research Fellowship Program (NSF GRFP), Achievement Rewards for College Scientists (ARCS) Foundation, Seattle ARCS Chapter, and Anne and Russ Fuller Fellowship for Interdisciplinary Research to KB. This work was also supported, in part, by the USDA National Institute of Food and Agriculture, Hatch project 227700.