Supplementary information and datasets: Transplant experiments on the establishment of stream bacteria in downstream lakes
收藏资源简介:
This dataset contains raw and processed data generated as part of in vitro transplant experiments conducted using water collected from the catchment area of lake Siggeforasjön, central Sweden. Amplicon sequencing (16S rRNA genes and transcripts): Operational taxonomic unit (OTU) table (otu_table.txt). Associated taxonomy table containing assignments for all OTUs (taxonomy_table.txt). OTU sequences and bootstrap support values generated using the DADA2 taxonomic assignment are provided for each taxonomic level. Raw reads are available through the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB108836. Flow cytometry: Flow cytometry measurements were used to quantify bacterial abundance and the relative proportions of high nucleic acid (HNA) to low nucleic acid (LNA) bacterial particles, expressed as the HNA/LNA ratio. Raw flow cytometry standard (.FCS) files from all analyzed samples are provided (FCS_files.zip). Bacterial protein production: Raw and processed bacterial protein production measurements based on leucine incorporation (Protein_production_raw_data.xlsx). The workbook includes: (i) raw measurements for samples, positive and negative controls; (ii) calculation steps used to derive bacterial protein production rates; and (iii) descriptions of all variables included in the calculations. Metadata table: Metadata file linking sample identifiers across datasets (Metadata.csv). Includes correspondence between sample name, sequencing read filenames (.fastq) deposited in ENA and associated flow cytometry (.FCS) files. Column descriptions are provided in Metadata_README.txt. Water flow: Water flow data (in m³ s⁻¹), originally obtained from the S-HYPE hydrological model through the Vattenwebb service of the Swedish Meteorological and Hydrological Institute. Daily data correspond to subcatchment SUBID 8110 (Siggeforasjön) for 2022. Files S1-S3: These supplementary files present relative abundance patterns of stream and lake communities across DNA- and RNA-based datasets (bacterial phylum or OTU level).



