Plant sedimentary ancient DNA data from Far East Russia ...

Woody plants are expanding into the Arctic in response to the warming climate. The impact on arctic plants is not well understood due to the limited knowledge about plant assembly rules. Past plant diversity over long time series is rare. Here, we applied sedimentary ancient DNA metabarcoding target...

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Bibliographic Details
Main Authors: Huang, Sichao, R. Stoof-Leichsenring, Kathleen, Liu, Sisi, Courtin, Jeremy, A. Andreev, Andrej, Pestryakova, Luidmila, Herzschuh, Ulrike
Format: Dataset
Language:English
Published: Dryad 2021
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.sbcc2fr4k
https://datadryad.org/stash/dataset/doi:10.5061/dryad.sbcc2fr4k
Description
Summary:Woody plants are expanding into the Arctic in response to the warming climate. The impact on arctic plants is not well understood due to the limited knowledge about plant assembly rules. Past plant diversity over long time series is rare. Here, we applied sedimentary ancient DNA metabarcoding targeting the P6 loop of the chloroplast trnL gene to a sediment record from Lake Ilirney (central Chukotka, Far Eastern Russia) covering the last 28 thousand years. Our results show that forb-rich steppe-tundra and dwarf-shrub tundra dominated during the cold climate before 14 ka, while deciduous erect-shrub tundra was abundant during the warm period since 14 ka. Larix invasion during the late Holocene substantially lagged behind the likely warmest period between 10 and 6 ka, where the vegetation coverage was densest. We reveal highest richness during 28–23 ka and a second richness peak during 13–10 ka, with both periods being accompanied by low shrub abundance. During the cold period before 14 ka, rich communities ... : The dataset is prepared for the manuscript "Plant sedimentary ancient DNA record from Far East Russia covering the last 28 ka reveal different assembly rules in cold and warm climates". It contains the processing of the raw sequencing data using bioinfomatics tools. Below is the detailed data organisation: 1_raw_data: The raw sequencing files R1 = Forward: 190531_NB501850_A_L1-4_ALRK-5_R1.fastq R2 = Reverse: 190531_NB501850_A_L1-4_ALRK-5_R2.fastq 2_scripts: The metabarcoding pipeline for analyzing the raw sequencing data using OBITools Data_analyses_using_OBITools.txt 3_tagfile: de-multiplex tagged pooled samples tagfile_SEQRUN.txt 4_database: the Arctic and Boreal vascular plant and bryophyte database and reference library database = arctborbryo_gh.fasta library = ecochange.zip 5_dataset: output of the metabarcoding pipeline and final dataset. The final dataset is filtered as detailed in Supplementary_material Appendix 3. assigned_SEQRUN_unique_clean_arctborbryo_anno.txt final_dataset.xlsx ...