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.
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Pesquisadores deveriam citar esta obra da seguinte maneira:
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
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é SCAR - Microbial Antarctic Resource System. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 0ea51b6e-d02f-495e-a29b-73783e4060c0. SCAR - Microbial Antarctic Resource System publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Scientific Committee on Antarctic Research.
metadata; methane; greenhouse gas; bacteria; archaea; procaryote; peatland; wetland; soil; lake; sediment; metabarcoding; 16S rRNA; MiSeq; Metadata
Quem criou esse recurso:
Quem pode responder a perguntas sobre o recurso:
Quem preencher os metadados:
Quem mais foi associado com o recurso:
|Coordenadas delimitadoras||Sul Oeste [63,21, -150,8], Norte Leste [68,62, -147,65]|
Bacterial and Archaea diversity was profiled by targeting the V4-V5 region of the 16S SSU rRNA gene for high throughput metabarcode (amplicon) sequencing, using the Illumia MiSeq platform (2x 250bp).
|Domínio||Bacteria (Bacteria), Archaea (Archaea)|
Dados Sobre o Projeto
METHANOgenic Biodiversity and activity in Arctic, subarctic and Subantarctic Ecosystems affected by climate change
|Financiamento||ERANET-LAC joint call 2014|
|Descrição da Área de Estudo||Alaska Lakes (water, sediments), peatlands (hollows, edges, hummocks) and mineral soils|
|Descrição do Design||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.|
O pessoal envolvido no projeto:
Métodos de Amostragem
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.
|Área de Estudo||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.|
Descrição dos passos do método:
- 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.