EGU21-14835
https://doi.org/10.5194/egusphere-egu21-14835
EGU General Assembly 2021
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Metabarcoding of modern sedimentary DNA from the Tibetan Plateau and Siberia as a training dataset for vegetation reconstructions

Weihan Jia1,2,3, Kathleen Stoof-Leichsenring1, Sisi Liu1,2, Kai Li4, Sichao Huang1,5, Xingqi Liu3, Jian Ni4, Xianyong Cao6, Luidmila Pestryakova7, Steffen Mischke8, and Ulrike Herzschuh1,2,5
Weihan Jia et al.
  • 1Polar Terrestrial Environmental Systems Research Group, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
  • 2Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
  • 3College of Resource Environment and Tourism, Capital Normal University, Beijing, China
  • 4College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, China
  • 5Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
  • 6Alpine Paleoecology and Human Adaptation Group (ALPHA), Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
  • 7Department for Geography and Biology, North-Eastern Federal University of Yakutsk, Yakutsk, Russia
  • 8Institute of Earth Sciences, University of Iceland, Reykjavík, Iceland

Lake sedimentary DNA (sedDNA) is an established tool to trace past changes in vegetation composition and plant diversity. However, little is known about the relationships between sedimentary plant DNA and modern vegetational and environmental conditions. In this study, we investigate i) the relationships between the preservation of sedimentary plant DNA and environmental variables, ii) the modern analogue of ancient plant DNA assemblages archived in lake sediments, and iii) the usability of sedimentary plant DNA for characterization of terrestrial and aquatic plant composition and diversity based on a large dataset of PCR-amplified plant DNA data retrieved from 259 lake surface sediments from the Tibetan Plateau and Siberia. Our results indicate the following: i) Lake-water electrical conductivity and pH are the most important variables for the preservation of plant DNA in lake sediments. We expect the best preservation conditions for sedimentary plant DNA in small deep lakes characterized by high water conductivities (≥100 μS cm-1) and neutral to slightly alkaline pH conditions (7–9). ii) Plant DNA metabarcoding is promising for palaeovegetation reconstruction in high mountain regions, where shifts in vegetation are solely captured by the sedDNA-based analogue matching and fossil pollen generally has poor modern analogues. However, the biases in the representation of some taxa could lead to poor analogue conditions. iii) Plant DNA metabarcoding is a reliable proxy to reflect modern vegetation types and climate characteristics at a sub-continental scale. However, the resolution of the trnL P6 loop marker, the incompleteness of the reference library, and the extent of sedDNA preservation are still the main limitations of this method. iv) Plant DNA metabarcoding is a suitable proxy to recover modern aquatic plant diversity, which is mostly affected by July temperature and lake-water conductivity. Ongoing warming might decrease macrophyte richness in the Tibetan Plateau and Siberia, and ultimately threaten the health of these important freshwater ecosystems. To conclude, sedimentary plant DNA presents a high correlation with modern vegetation and may therefore be an important proxy for reconstruction of past vegetation.

How to cite: Jia, W., Stoof-Leichsenring, K., Liu, S., Li, K., Huang, S., Liu, X., Ni, J., Cao, X., Pestryakova, L., Mischke, S., and Herzschuh, U.: Metabarcoding of modern sedimentary DNA from the Tibetan Plateau and Siberia as a training dataset for vegetation reconstructions, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-14835, https://doi.org/10.5194/egusphere-egu21-14835, 2021.

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