Bacterial phylogenetic markers in lake sediments provide direct evidence for historical hemp retting
Autor: | Valentí Rull, Oriol Sacristán-Soriano, Alexandre Sànchez-Melsió, Carles M. Borrego, Teresa Vegas-Vilarrúbia |
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Přispěvatelé: | Ministerio de Economía y Competitividad (España) |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
ISSN: | 0277-3791 |
Popis: | Documenting prehistoric and historical hemp retting for fiber extraction is important in the study of human uses of this iconic plant and its cultural implications. In paleoecology, hemp retting is usually inferred from indirect proxies, notably anomalously high percentages of Cannabis pollen in lake sediments, but some recent studies have also used specific molecular biomarkers (cannabinol, Cannabis DNA) as more straightforward evidence. Here we provide direct evidence of hemp retting by identifying phylogenetic signatures (16S rRNA genes) from pectinolytic bacteria actually responsible for the fermentation process that separates the fiber from the stalk, namely Bacillus, Clostridium, Escherichia, Massilia, Methylobacterium, Pseudomonas, Rhizobium and Rhodobacter. These analyses have been performed in the sediments from an Iberian lake previously considered as an important hemp retting site during the last five centuries, on the basis of Cannabis pollen abundances. The good match between biomarker and pollen evidence, in the context of the recent historical development of the hemp industry in Spain, can be useful to interpret paleoecological records from other similar lakes on the way toward a more regional view on the introduction, spreading, uses and associated cultural connotations of Cannabis in the Iberian Peninsula within European and Mediterranean contexts. This works has been funded by the Spanish Ministry of Economy and Competitiveness, projects MONT-500 (CGL 2012-33665) and MEROMONT (CGL 2017-85682-R) 1. Introduction 2. Study area 2.1. The lake 2.2. Hemp pollen record and historical background 3. Methods 4. Results and interpretation 5. Conclusions and further research Author contributions Declaration of competing interest Data availability Acknowledgments Appendix A. Supplementary data References |
Databáze: | OpenAIRE |
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