Description
Since Linnaeus's time, the Kungsängen Nature Reserve has drawn frequent visitors because of its vegetation including the largest population of Fritillaria meleagris L. in Sweden. The reserve is a meadow with an abrupt moisture transition, where the wetter part has a Carex acuta dominated plant community with low species richness, visually distinct from the drier part, which has a species rich plant community including a high density of Fritillaria meleagris. To investigate the link between plant and below-ground micro-eukaryotic communities, we amplified and sequenced the ITS and LSU regions of the rDNA operon (1500 bp) from soil using PacBio SMRT sequencing, and evaluated three different methods for generation of operational taxonomic units. We found distinct communities associated with wet and mesic-dry soil conditions but estimated richness was not so different. Both soil conditions host communities dominated by protists, a large fraction of which were taxonomically assigned to Ciliphora (Alveolata), while 30-40% of all reads were assigned to kingdom Fungi. Ecological patterns were consistently recovered irrespective of the read clustering method used. However, different clustering methods affect the taxonomic and phylogenetic resolution of community characterization with implications for how well members of the micro-eukaryotic communities can be recognized in the data. This data resource contain amplicon sequence variant (ASV) sequences generated with DADA2 using the Ampliseq pipeline (https://nf-co.re/ampliseq). This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/).
Data Records
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 1,117 records.
2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Rosling A, Eshghi Sahraei S, Furneaux B, Kluting K, Zakieh M (2024). Kungsängen soil microbial communities. Version 1.7. Biology Section, Uppsala University. Occurrence dataset. https://www.gbif.se/ipt/resource?r=pb363_kungsangen_otu_a&v=1.7
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Biology Section, Uppsala University. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: d850eb3d-d7e2-48f9-b6c1-cf1136a50bbb. Biology Section, Uppsala University publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Sweden.
Keywords
Occurrence
Contacts
- Metadata Provider ●
- Originator ●
- Point Of Contact
- Associate Professor
- Evolutionsbiologiskt centrum, Norbyvägen 18D
- +46184716444
http://orcid.org/0000-0002-7003-5941
- Metadata Provider
- PhD student
- Evolutionsbiologiskt centrum, Norbyvägen 18D
- Originator
- PhD student
- Evolutionsbiologiskt centrum, Norbyvägen 18D
- Originator
- PhD student
- Evolutionsbiologiskt centrum, Norbyvägen 18D
- Originator
- Associate Professor
- Evolutionsbiologiskt centrum, Norbyvägen 18D
- Metadata Provider
- Associate Professor
- Evolutionsbiologiskt centrum, Norbyvägen 18D
Geographic Coverage
Kungsängen Nature Reserve (N59°50’, E17°40’) is a 12.5-hectare reserve in a larger meadow located in the south of Uppsala, Sweden, along the east shore of the Fyris River. Soil samples were taken across an abrupt moisture transition that divides the meadow community into a Carex acuta dominated plant community with low species richness in the wetter part, which is visually distinct from the mesic-dry part that has a species rich grass-dominated plant community including a high frequency of F. meleagris.
| Bounding Coordinates | South West [59.836, 17.661], North East [59.837, 17.663] |
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Temporal Coverage
| Start Date | 2016-06-07 |
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Project Data
No Description available
| Title | Kungsängen soil microbial communities |
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The personnel involved in the project:
- Principal Investigator
Sampling Methods
Soil samples were taken with a soil corer when possible (5cm diameter x 10 cm depth), or with a hand shovel when soil was to wet (sampling depth and volume estimated to correspond to that of the soil cores). Soil samples were individually placed in plastic bags and kept on ice during sampling before storage at 4degC over night. The day after, soils were homogenized in the plastic bags and subsamples were transferred to 15ml conical centrifuge tubes and frozen at -20degC prior to freeze drying. Approximately 250 to 500 mg of freeze-dried soil was used for total DNA extraction. The entire ITS and partial LSU regions of rDNA, approximately 1500 bp, was amplified using a modified ITS1 primer and the LR5 primer. Both primers were indexed for multiplexing to allow pooling of the samples during sequencing. The pooled library was sequenced at SciLifeLab/NGI (Uppsala, Sweden) on the PacBio RSII sequencing platform.
| Study Extent | Soil samples were collected on June 7th, 2016, at Kungsängen Nature Reserve (N59°50’, E17°40’). Samples were taken from five locations 30 m apart on each side of the soil moisture transition border separated by 30 m across the transition border. |
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Method step description:
- Sequence denoising and ASV creation was performed with DADA2 using the nfcore/ampliseq pipeline (https://nf-co.re/ampliseq), commit 5adaf23d7f. Taxonomy assignment was based on the ITS2 region and performed according to https://docs.biodiversitydata.se/analyse-data/molecular-tools/#taxonomy-annotation, using nf-core/ampliseq commit e1bdbfb623 and the database unite-alleuk=8.3 (UNITE general FASTA release for Eukaryotes - Version 8.3, https://doi.org/10.15156/BIO/1280127)
Additional Metadata
| Alternative Identifiers | d850eb3d-d7e2-48f9-b6c1-cf1136a50bbb |
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| https://www.gbif.se/ipt/resource?r=pb363_kungsangen_otu_a |