Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China).
Kathleen Rosmarie Stoof-LeichsenringSisi LiuWeihan JiaKai LiLuidmila A PestryakovaSteffen MischkeXianyong CaoXingqi LiuJian NiStefan NeuhausUlrike HerzschuhPublished in: Biodiversity data journal (2020)
We provide a large dataset of genetic plant diversity retrieved from surface sedimentary DNA from lakes in Siberia and China spanning over a large environmental gradient. Our dataset encompasses sedDNA sequence data of 259 surface lake sediments and three soil samples originating from Siberian and Chinese lakes. We used the established chloroplastidal P6 loop trnL marker for plant diversity assessment. The merged, filtered and assigned dataset includes 15,692,944 read counts resulting in 623 unique plant DNA sequence types which have a 100% match to either the EMBL or to the specific Arctic plant reference database. The underlying dataset includes a taxonomic list of identified plants and results from PCR replicates, as well as extraction blanks (BLANKs) and PCR negative controls (NTCs), which were run along with the investigated lake samples. This collection of plant metabarcoding data from modern lake sediments is still ongoing and additional data will be released in the future.
Keyphrases
- single molecule
- circulating tumor
- electronic health record
- heavy metals
- cell free
- big data
- climate change
- magnetic resonance imaging
- risk assessment
- genome wide
- plant growth
- gene expression
- artificial intelligence
- current status
- amino acid
- nucleic acid
- mass spectrometry
- water quality
- high resolution
- atomic force microscopy
- adverse drug