Plant DNA taxa detected in Lake Savine sediments (North-western Alps) over the last 8000 years


This dataset contains plant taxa detected by sedimentary DNA analyses. The dataset is presented in number of DNA sequences by replicate of analyses (12 PCR replicates). It has been generated applying the DNA metabarcoding approach on a 7.75-m long sediment cores retrieved by using an Uwitec piston coring device directly from the ice-covered surface of the lake. The primers used are g (5'-GGGCAATCCTGAGCCAA-3') and h (5'-CCATTGAGTCTCTGCACCTATC-3') (Taberlet, P., et al. Power and limitations of the chloroplast trn L (UAA) intron for plant DNA barcoding. Nucleic acids research, 35(3), e14-e14. (2007)). The sequences were then produced by the Illumina technology (HiSeq instrument). The bioinformatic treatment of the sequences was operated applying the Obitool program (Boyer, F. et al. OBITOOLS:aUNIX-inspired software package for DNAmetabarcoding. Mol. Ecol. Resour. 16, 176–182 (2016)) and following the procedure described in Giguet-Covex et al. New insights on lake sediment DNA from the catchment: importance of taphonomic and analytical issues on the record quality. Scientific Reports. 9, 14676 (2019) (DOI Further filtering treatments were then applied, as also described in Giguet-Covex et al. 2019. These second treatments allow the removal of 1) taxa assigned to a reference taxon at <95 % of sequence identity, 2) potential contaminations (based on sampling, extraction and PCR controls, and recognition of exotic taxa) and 3) stochastic detections.

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Creator Giguet-Covex, Charline ORCID logo; Chen, Wentao; Ficetola, Francesco Gentile; Gielly, Ludovic; Pansu, Johan
Publisher PANGAEA
Publication Year 2023
Funding Reference European Commission Crossref Funder ID 655331 agroPastoral Activities and effects on Landscapes and ErOsion dynAmics in the alps: a new insight from Geological appRoaches and lake sedIment DNA (PALEO-AGRI); Grenoble Alpes University Crossref Funder ID ANR-15-IDEX-02 CDP Trajectories
Rights Creative Commons Attribution 4.0 International;
OpenAccess true
Resource Type Dataset
Format text/tab-separated-values
Size 37152 data points
Discipline Earth System Research
Spatial Coverage (6.914 LON, 45.175 LAT); North-western Alps