Metabolomics

Dataset Information

0

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 approximately 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.

INSTRUMENT(S): Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Korey Brownstein 

PROVIDER: MTBLS890 | MetaboLights | 2020-07-21

REPOSITORIES: MetaboLights

altmetric image

Publications

An Ancient Residue Metabolomics-Based Method to Distinguish Use of Closely Related Plant Species in Ancient Pipes.

Brownstein Korey J KJ   Tushingham Shannon S   Damitio William J WJ   Nguyen Tung T   Gang David R DR  

Frontiers in molecular biosciences 20200626


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 c  ...[more]

Similar Datasets

2007-09-01 | GSE8202 | GEO
2007-09-01 | GSE8203 | GEO
2007-09-01 | GSE8161 | GEO
2019-06-19 | GSE128800 | GEO
2022-05-31 | GSE204850 | GEO
2022-05-31 | GSE204761 | GEO
2022-05-31 | GSE204760 | GEO
2022-05-31 | GSE204759 | GEO
2022-05-31 | GSE204758 | GEO
2022-05-31 | GSE204757 | GEO