Antarctic Surface Snow Bacterial Communities

最新バージョン SCAR - Microbial Antarctic Resource System により出版 3 29, 2019 SCAR - Microbial Antarctic Resource System

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説明

Amplicon sequencing dataset (Illumina MiSeq) of Bacteria (16S ssu rRNA) in surface snow collected between the South Orkney Islands and the Ellsworth Mountains between December 2012 and January 2014.

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Malard L, Sabacka M, Magiopoulos I, Mowlem M, Hodson A, Tranter M, Siegert M, Pearce D (2019): Antarctic Surface Snow Bacterial Communities. v1.0. SCAR - Microbial Antarctic Resource System. Dataset/Metadata. https://ipt.biodiversity.aq/resource?r=antarctic_surface_snow_bacterial_communities&v=1.0

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は SCAR - Microbial Antarctic Resource System。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: f9644d4b-3c39-4147-9d84-4baff93e1737が割り当てられています。   Scientific Committee on Antarctic Research によって承認されたデータ パブリッシャーとして GBIF に登録されているSCAR - Microbial Antarctic Resource System が、このリソースをパブリッシュしました。

キーワード

Metadata

連絡先

Lucie Malard
  • 最初のデータ採集者
  • 連絡先
Northumbria University at Newcastle
Newcastle upon Tyne
GB
Marie Sabacka
  • 最初のデータ採集者
University of South Bohemia in České Budějovice
České Budějovice
CZ
Iordanis Magiopoulos
  • 最初のデータ採集者
Hellenic Centre for Marine Research
Heraklion
GR
Matt Mowlem
  • 最初のデータ採集者
National Oceanography Centre Southampton
Southampton
GB
Andy Hodson
  • 最初のデータ採集者
University Centre in Svalbard
Longyearbyen
NO
Martyn Tranter
  • 最初のデータ採集者
University of Bristol
Bristol
GB
Martin Siegert
  • 最初のデータ採集者
Imperial College London
London
GB
David Pearce
  • 最初のデータ採集者
Northumbria University at Newcastle
Newcastle upon Tyne
GB
Maxime Sweetlove
  • メタデータ提供者
Research assistant
Royal Belgian Institute of Natural Sciences
Rue Vautier 29
1000 Brussels

地理的範囲

The region between the South Orkney Islands and the Ellsworth Mountains (Antarctica)

座標(緯度経度) 南 西 [-78.976, -100], 北 東 [-60.707, -45.593]

生物分類学的範囲

Bacteria were profiled by targeting the v3-v4 region of the 16S ssu rRNA gene with the primers 341F and 785R

Domain Bacteria (Bacteria)

プロジェクトデータ

説明がありません

タイトル Antarctic Surface Snow Bacterial Communities
ファンデイング This work was supported by grants from the United Kingdom Natural Environment Research Council grants G00465X/1, G00465X/2, G00465X/3, NE/H014446/1, and NE/H014802/1 and from the European Commission’s Marie Skłodowska-Curie Actions program under project number 675546.

プロジェクトに携わる要員:

Lucie Malard

収集方法

Snow was collected from the surface to represent collection during melt water production for hot-water drilling. At each sampling location, a 1 m snow pit was excavated and the top 30 cm of snow was sampled using an ethanol sterilized shovel and Whirl-Pak bags (Nasco, WI, United States). Samples were transported to the field laboratory, where they were melted and passed through 0.2 μm Sterivex filters (Merck, Darmstadt, Germany), before freezing at −20°C for transport and processing in the United Kingdom.

Study Extent Snow samples were collected between the South Orkney Islands and the Ellsworth Mountains between December 2012 and January 2014. On Signy Island, two sites were sampled; Gourlay Snowfield and Tuva Glacier. SkyBlu samples came from the vicinity of the BAS blue ice runway (a logistics hub for deep field operations). Camp samples were collected around the kitchen, generator and drilling areas.

Method step description:

  1. SkyBlu, Pine Island Bay and Ellsworth snow samples were processed in two ways; PMA-treated and non-PMA-treated in order to differentiate the potentially viable microbial community from relic DNA. Each 0.2 μm filter was cut in half using sterile and DNAase/ethanol treated razors. For each sample, one-half was processed with PMA as per Nocker and Camper (2009) and Fittipaldi et al. (2012), using a 20 mM stock solution of PMA (Biotium, Hayward, CA, United States) in a 20% (v/v) aqueous solution of dimethyl sulfoxide (DMSO). Filters for PMA treatment were placed in a 6-well plate and a PMA solution at a final concentration of 100 μM was added. Cross-linking was initiated by 10 min incubation on ice, in the dark with occasional mixing, followed by 5 min of light exposure using a 650 W halogen lamp (FLASH 2000 L, DTS, Italy), at a 20 cm distance. The process was carried out in a laminar flow hood to avoid contamination of the samples. Non-PMA-treated samples were incubated in a 20% (v/v) aqueous solution of DMSO, and treated following the same protocol as PMA-treated samples. All samples were washed twice with sterile phosphate buffered saline (PBS) and all samples were then used for DNA extraction. DNA from snow samples was extracted using the PowerWater kit from MoBio (Qiagen, Carlsbad, CA, United States). Each sample was PCR amplified using the primers 341F and 785R covering the V3-V4 regions of the 16S rRNA gene (Klindworth et al., 2013), under the following conditions: initial denaturation at 95°C for 5 min then 25 cycles of 40 s denaturation at 95°C; primer annealing at 55°C for 2 min; and elongation at 72°C for 1 min then a final elongation at 72°C for 7 min (Hodson et al., 2017). DNA extraction kit controls were included alongside the snow derived DNA and sequenced. PCR amplicons were cleaned, normalized, quantified and supplemented with 5% PhiX before being loaded on Illumina MiSeq, as per the Illumina standard operating protocol (Kozich et al., 2013).
  2. DNA from snow samples was extracted using the PowerWater kit from MoBio (Qiagen, Carlsbad, CA, United States). Each sample was PCR amplified using the primers 341F and 785R covering the V3-V4 regions of the 16S rRNA gene, under the following conditions: initial denaturation at 95°C for 5 min then 25 cycles of 40 s denaturation at 95°C; primer annealing at 55°C for 2 min; and elongation at 72°C for 1 min then a final elongation at 72°C for 7 min (Hodson et al., 2017). DNA extraction kit controls were included alongside the snow derived DNA and sequenced. PCR amplicons were cleaned, normalized, quantified and supplemented with 5% PhiX before being loaded on Illumina MiSeq, as per the Illumina standard operating protocol (Kozich et al., 2013).

書誌情報の引用

  1. Malard, L. A., Šabacká, M., Magiopoulos, I., Hodson, A., Tranter, M., Siegert, M. J., & Pearce, D. A. (2019). Spatial variability of Antarctic surface snow bacterial communities. Frontiers in Microbiology, 10, 461. https://doi.org/10.3389/fmicb.2019.00461