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Bacteria (16S) in growth laminae of a large conical mats from Lake Untersee, East Antarctic
Citation
Koo H, Mojib N, Hakim J, Hawes I, Tanabe Y, Andersen D, Bej A (2019): Bacteria (16S) in growth laminae of a large conical mats from Lake Untersee, East Antarctic. v1.1. SCAR - Microbial Antarctic Resource System. Dataset/Metadata. https://ipt.biodiversity.aq/resource?r=bacteria_microbial_mats_lake_untersee_antarctica&v=1.1 https://doi.org/10.15468/surft2
Contact:
Koo, Hyunmin Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License.
Description
Amplicon sequencing dataset (454 pyrosequencing) of Bacterial communities (based on the 16S ssu rRNA gene; using Bacteria and Cyanobacteria-specific primers), of three different strata in a laminated microbial mat sample from Lake Untersee (east Antarctica). more
The core was collected by gently inserting a 50 mm diameter sterile polycarbonate core tube through the top of a conical mat structure, then sealing it with rubber stoppers and returning it to the surface. The core was stored in Antarctic Logistics Centre International (ALCI), Cape Town, South Africa facility first at -20°C in a walk-in freezer and then transported to UAB in dry ice and kept in -20°C freezer until used. The top three laminae (herein U1, top lamina; U2, middle lamina; and U3, inner lamina) were separated from the core and selected individually for sequencing. Each lamina was carefully separated using sterile forceps and rinsed with distilled water to avoid carryover of microorganisms between laminae before DNA extraction. Study Extent: The samples were taken from a single core of a conical mat from Lake Untersee, which was collected by scientific divers utilizing SCUBA by accessing the lake ecosystem through a hole made on the ∼3.5 m surface ice. Method step description:
Scope Keywords: Fresh water, Dna sequencing, Metadata, Antarctica, Bacteria, Cyanobacteria Geographical coverage Temporal coverage
From 2001 on [Completed] Parameter
Molecular data Contributors
Related datasets
Dataset status: Completed
Data type: Metadata
Data origin: Research: field survey
Metadatarecord created: 2019-03-28
Information last updated: 2019-04-10
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