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Bacteria and Archaea biodiversity in Arctic and Subarctic terrestrial ecosystems in Alaska
Citation
Barret M, Thalasso F, Gandois L, Martinez Cruz K, Sepulveda Jaureguy A, Lavergne C, Teisserenc R, Aguilar P, Gerardo-Nieto O, Etchebehere C, Martins B, Fochesatto J, Tananaev N, Svenning M, Seppey C, Tveit A, Chamy R, Soledad Astorga-España M, Mansilla A, Van de Putte A, Sweetlove M, Murray A, Cabrol L (2022): Bacteria and Archaea biodiversity in Arctic and Subarctic terrestrial ecosystems in Alaska. v1.4. SCAR - Microbial Antarctic Resource System. Dataset/Metadata. https://ipt.biodiversity.aq/resource?r=methanobasealaska&v=1.4 https://doi.org/10.15468/hhkhz2

Access data
Archived data
Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Description
Methane emissions from aquatic and terrestrial ecosystems play a crucial role in global warming, which is particularly affecting high-latitude ecosystems. As major contributors to methane emissions in natural environments, the microbial communities involved in methane production and oxidation deserve a special attention. Microbial diversity and activity are expected to be strongly affected by the already observed (and further predicted) temperature increase in high-latitude ecosystems, eventually resulting in disrupted feedback methane emissions. The METHANOBASE project has been designed to investigate the intricate relations between microbial diversity and methane emissions in Arctic, Subarctic and Subantarctic ecosystems, under natural (baseline) conditions and in response to simulated temperature increments. We report here a small subunit ribosomal RNA (16S rRNA) analysis of lake, peatland and mineral soil ecosystems. more

Water samples were collected with a Van Dorn bottle. Sediments were sampled thanks to a grab-sampler, peat monoliths (approximately 30*30*30cm) were cut with a bread-knife and soil monoliths with a shovel.
Samples were collected in summer 2015, without any temporal replication. A total of 19 ecosystems were studied in Alaska, USA. The selected sites are representative of this Subantarctic region: lakes, peatlands, Nothofagus forest, pampa In each site, various samples were collected to take into account the local heterogeneity: different depths in water column and sediments, soil horizons, hollows/edges/hummocks.
After collection, samples were stored at 4°C prior to further processing. Liquid samples were filtered at 0.45µm until clogging and the filters were stored at -20°C. DNA was extracted from these filters using the PowerWater DNA isolation kit (MOBIO) while DNA was extracted from solid samples using the PowerSoil DNA isolation kit (MOBIO). DNA extracts were kept at -20°C. The V4-V5 region of 16S rRNA gene was amplified in the following conditions: 515F and 928R primers (Wang & Qian, 2009. doi:10.1371/journal.pone.0007401), 2min at 94°C, 30 cycles of 60s at 94°C, 40s at 65°C and 30s at 72°C, and 10 min at 72°C. Amplicon sequencing was carried out with Illumina MiSeq technology (2x250pb, V3). Denoising of the sequences dataset and OTU clustering was carried using the FROGS pipeline (Auer et al., 2017. doi:10.1093/bioinformatics/btx791). BLAST was used for taxonomic affiliation.

Scope
Themes:
Biology > Organic (& bio-) chemistry
Keywords:
Fresh water, Terrestrial, Greenhouse gases, Lake, Metadata, Methane, Peatlands, Rrna, Sediment, Soils, Wetlands, Alaska, Archaea, Bacteria

Geographical coverage

Temporal coverage
From 27 June 2016 on [In Progress]

Taxonomic coverage
Archaea [WoRMS]
Bacteria [WoRMS]

Parameter
Molecular data

Contributors
Université Paul Sabatier; Laboratoire d'Ecologie Fonctionnelle (ECOLAB), moredata creator
National Polytechnic Institute; Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), moredata creator

Related datasets
Published in:
AntOBIS: Antarctic Ocean Biodiversity Information System, more
(Partly) included in:
RAS: Register of Antarctic Species, more

Dataset status: In Progress
Data type: Metadata
Data origin: Research: field survey
Metadatarecord created: 2018-12-12
Information last updated: 2022-07-28
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy