Plant diversity data from modern sedimentary DNA of lakes in Siberia and China

Here we provide a large dataset on genetic plant diversity retrieved from surface sedimentary DNA (sedDNA) of lakes from Siberia and China spanning over a large environmental gradient. Our dataset encompasses sedDNA sequence data of 244 surface lake sediments and 3 soil samples originating from Sibe...

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Bibliographic Details
Main Authors: Stoof-Leichsenring, Kathleen R., Liu, Sisi, Jia, Weihan, Li, Kai, Pestryakova, Luidmila A., Mischke, Steffen, Cao, Xianyong, Liu, Xinqui, Ni, Jian, Neuhaus, Stefan, Herzschuh, Ulrike
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://zenodo.org/record/5259852
https://doi.org/10.5061/dryad.k6djh9w4r
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Summary:Here we provide a large dataset on genetic plant diversity retrieved from surface sedimentary DNA (sedDNA) of lakes from Siberia and China spanning over a large environmental gradient. Our dataset encompasses sedDNA sequence data of 244 surface lake sediments and 3 soil samples originating from Siberia and Chinese lakes. We used a PCR-based metabarcoding approach combined with Next-Generation Sequencing to assess the modern and local plant diversity in and around the analysed lake localities. As a plant specific metabarcode we applied the established chloroplastidal P6 loop trnL marker for plant diversity assessment. PCR products were sequenced on four independent Illumina sequencing runs (ALRK-7, ALRK-3, AGAK-5 and HQD-2). For reanalysis of data we provide the following data files: 1. Illumina sequencing raw data of four sequencing runs (ALRK-7, ALRK-3, AGAK-5, HQD-2). Data files are compressed. ALRK-7 (190820_NB501473_A_L1-4_ALRK-7_R1.fastq.gz, 190820_NB501473_A_L1-4_ALRK-7_R2.fastq.gz). ALRK-3 (190128_NB501850_A_L1-4_ALRK-3_R1.fastq.gz, 190128_NB501850_A_L1-4_ALRK-3_R2.fastq.gz) AGAK-5 (180912_NB501850_A_L1-4_AGAK-5_R1.fastq.gz, 180912_NB501850_A_L1-4_AGAK-5_R2.fastq.gz) HQD-2 (151111_SND104_A_L008_HQD-2_R1.fastq.gz, 151111_SND104_A_L008_HQD-2_R2.fastq.gz) 2. Two scripts to run the OBITools pipeline with a short description of each step. Data analyses with OBITools (Script_data_analyses_with_OBITools.txt) Database creation with EcoPCR and OBITools (Script_Database_creation_for_OBITools.txt) 3. Tagfiles needed for the OBITools pipeline. Sample name in the tagfiles indicates the sequencing run, the sample batch number which includes samples and corresponding controls (DNA extraction blank (BLANK) and PCR negative control (NTC)). ALRK-7 (ALRK-7_tagfile.txt) ALRK-3 (ALRK-3_tagfile.txt) AGAK-5 (AGAK-5_tagfile.txt) HDQ-2 (HQD-2_tagfile.txt) 4. Taxonomic database files needed for the OBITools pipeline (see Script_Database_creation_for_OBITools.txt) EMBL database (g_h_embl138_final.uniqIDs.fasta) Arctic database ...