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Bacteria and Archaea biodiversity in Arctic terrestrial ecosystems affected by climate change in Northern Siberia
Citatie
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 terrestrial ecosystems affected by climate change in Northern Siberia. v1.5. SCAR - Microbial Antarctic Resource System. Dataset/Metadata. https://ipt.biodiversity.aq/resource?r=methanobase&v=1.5

Toegang tot data
Gearchiveerde data
Beschikbaarheid: Creative Commons License Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.

Beschrijving
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. meer

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 2016, without any temporal replication. A total of 18 ecosystems were studied in Siberia, Russia (around Igarka). The selected sites are representative of this Arctic region: lakes (including glaciar, thermokarst), peatlands (including palsa complexes), taiga forest, tundra, discontinuous permafrost. 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
Thema's:
Biologie > Organisch (& bio-) chemie
Kernwoorden:
Zoet water, Terrestrisch, Greenhouse gases, Lake, Metadata, Methaan, Palsas, Peatlands, Permafrost, Rrna, Sediment, Soils, Wetlands, Rusland, Siberië, Archaea, Bacteria

Geografische spreiding
Rusland, Siberië [Marine Regions]

Spreiding in de tijd
Vanaf 22 Juli 2016 [Gestart]

Taxonomic coverage
Archaea [WoRMS]
Bacteria [WoRMS]

Parameter
Moleculaire data

Bijdrage door
Université Paul Sabatier; Laboratoire d'Ecologie Fonctionnelle (ECOLAB), meerdata creator

Gerelateerde datasets
Gepubliceerd in:
AntOBIS: Antarctic Ocean Biodiversity Information System, meer
(Gedeeltelijk) opgenomen in:
RAS: Register of Antarctic Species, meer

Dataset status: Gestart
Data type: Meta database
Data oorsprong: Onderzoek: veldonderzoek
Metadatarecord aangemaakt: 2018-12-12
Informatie laatst gewijzigd: 2022-07-28
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