Literature DB >> 35862923

Metagenomes from Arctic Soil Microbial Communities from the Barrow Environmental Observatory, Utqiaġvik, AK, USA.

Neslihan Taş1,2, Baptiste Dafflon1, Craig Ulrich1, Yuxin Wu1, Susannah G Tringe2, Janet K Jansson3.   

Abstract

Here, we report 36 active-layer and 17 permafrost metagenomes from Utqiaġvik, AK, USA. Samples were collected from different topographical features and depths to study Arctic tundra microbiomes.

Entities:  

Year:  2022        PMID: 35862923      PMCID: PMC9387269          DOI: 10.1128/mra.00528-22

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Increasing global temperatures are affecting Arctic ecosystems more than any other on the planet (1). With accelerated permafrost thaw, vast Arctic soil carbon stocks (2) are expected to become available for microbial decomposition (3) and result in a positive feedback loop. In this study, we investigated the active-layer (AL) soil and permafrost microbiomes from a coastal Arctic tundra location (4). AL soils and permafrost were collected from the Next Generation Ecosystem Experiments—Arctic (NGEE-Arctic) research site located in the Barrow Environmental Observatory (BEO), Utqiaġvik, AK, USA (4). The BEO landscape is dominated by different polygon types, representing a gradient of permafrost degradation (4, 5). The AL depth varies between 0.35 and 0.45 m (4). In total, 36 AL samples from organic and mineral layers of polygons were collected in two sampling trips in 2012 (Table 1). Presterilized PVC tubes of 3 cm diameter were inserted into soil incrementally (6), sampling the organic and mineral horizons separately. The soil horizons were visually confirmed; the samples were placed into Whirl-Pak (Madison, WI, USA) bags and flash frozen in liquid nitrogen in the field. The samples were transported to the laboratory in a liquid nitrogen dewar and then stored at −80°C. DNA was extracted as previously described (4).
TABLE 1

Sample collection and sequencing data

Soil typeSoil horizonSampling date
PolygonDepth (cm)No. of readsAvg GC%Coordinates (°N, °W)SRA accession no.JGI taxon object identification no.
MoYr
ALOrganicJuly2012HC-Rep17.56.9E+0762.971.2, 156.4 SRX1987651 3300001405
ALOrganicJuly2012HC-Rep27.51.0E+0863.971.2, 156.4 SRX1987654 3300001418
ALOrganicJuly2012HC-Rep37.57.0E+0763.371.2, 156.4 SRX1987657 3300001384
ALMineralJuly2012HC-Rep1377.0E+0761.671.2, 156.4 SRX1987652 3300001409
ALMineralJuly2012HC-Rep2377.1E+0761.671.2, 156.4 SRX1987653 3300001406
ALMineralJuly2012HC-Rep3376.8E+0761.671.2, 156.4 SRX1987658 3300001401
ALOrganicJuly2012FC-Rep1106.8E+0761.871.2, 156.6 SRX1987241 3300001414
ALOrganicJuly2012FC-Rep2107.3E+0758.671.2, 156.6 SRX1987457 3300001416
ALOrganicJuly2012FC-Rep3107.1E+0762.371.2, 156.6 SRX1987459 3300001399
ALMineralJuly2012FC-Rep1398.7E+0762.271.2, 156.6 SRX1987242 3300006055
ALMineralJuly2012FC-Rep2397.3E+0762.071.2, 156.6 SRX1987240 3300001396
ALMineralJuly2012FC-Rep3398.0E+0760.771.2, 156.6 SRX1987244 3300001397
ALOrganicJuly2012LC-Rep1157.3E+0761.471.1, 156.4 SRX1987639 3300001413
ALOrganicJuly2012LC-Rep2156.8E+0758.371.1, 156.4 SRX1987638 3300001411
ALOrganicJuly2012LC-Rep3157.7E+0751.171.1, 156.4 SRX1987646 3300001415
ALMineralJuly2012LC-Rep1456.7E+0755.471.1, 156.4 SRX1987460 3300001410
ALMineralJuly2012LC-Rep2457.1E+0760.071.1, 156.4 SRX4917243 3300001404
ALMineralJuly2012LC-Rep3456.9E+0758.871.1, 156.4 SRX1987640 3300001400
ALOrganicSept2012HC-Rep17.55.9E+0761.571.1, 156.4 SRX1987694 3300001454
ALOrganicSept2012HC-Rep27.57.2E+0759.671.2, 156.4 SRX1987695 3300001403
ALOrganicSept2012HC-Rep37.55.6E+0758.171.2, 156.4 SRX1987724 3300001449
ALMineralSept2012HC-Rep1376.8E+0761.171.2, 156.4 SRX1987692 3300001452
ALMineralSept2012HC-Rep2377.3E+0759.171.2, 156.4 SRX1987693 3300001408
ALMineralSept2012HC-Rep3377.3E+0758.671.2, 156.4 SRX1987723 3300001398
ALOrganicSept2012FC-Rep1107.2E+0761.271.2, 156.6 SRX1987660 3300001407
ALOrganicSept2012FC-Rep2106.0E+0761.371.2, 156.6 SRX1987666 3300001383
ALOrganicSept2012FC-Rep3108.1E+0761.671.2, 156.6 SRX1987663 3300001417
ALMineralSept2012FC-Rep1397.6E+0762.771.2, 156.6 SRX1987659 3300001394
ALMineralSept2012FC-Rep2396.1E+0760.971.2, 156.6 SRX1987665 3300001385
ALMineralSept2012FC-Rep3398.7E+0761.671.2, 156.6 SRX1987664 3300001402
ALOrganicSept2012LC-Rep1155.1E+0756.771.1, 156.4 SRX1987671 3300001424
ALOrganicSept2012LC-Rep2156.0E+0760.671.1, 156.4 SRX1987675 3300001427
ALOrganicSept2012LC-Rep3156.7E+0761.271.1, 156.4 SRX1987696 3300001429
ALMineralSept2012LC-Rep1455.6E+0753.171.1, 156.4 SRX1987674 3300001453
ALMineralSept2012LC-Rep2455.3E+0759.571.1, 156.4 SRX1987672 3300001423
ALMineralSept2012LC-Rep3456.0E+0760.371.1, 156.4 SRX1987677 3300001428
PERMMineralApril2012FC553.6E+0855.171.3, 156.6 SRX2901267 3300006950
PERMMineralApril2012FC1511.1E+0848.771.3, 156.6 SRX2901268 3300006636
PERMMineralApril2012FC1839.2E+0763.171.3, 156.6 SRX2901418 3300006635
PERMMineralJune2013FC761.0E+0855.471.1, 156.3 SRX2910105 3300006619
PERMMineralMay2013LC2581.0E+0856.971.2, 156.4 SRX2901419 3300006640
PERMMineralJune2013FC2923.4E+0855.271.1, 156.3 SRX2910045 3300006949
PERMMineralApril2014HC231.1E+0859.471.1, 156.6 SRX2900831 3300006638
PERMMineralApril2014FC361.1E+0859.471.2, 156.4 SRX2899914 3300006795
PERMMineralSept2014HC442.8E+0851.571.2, 156.3 SRX2895659 3300006972
PERMMineralApril2014HC2382.8E+0854.471.1, 156.6 SRX2900872 3300006936
PERMMineralApril2014FC2431.5E+0859.471.2, 156.4 SRX2899913 3300006642
PERMMineralApril2014HC2551.2E+0857.171.1, 156.4 SRX2916185 3300006792
PERMMineralSept2014HC3573.0E+0855.371.2, 156.3 SRX2896615 3300009010

AL, active layer; PERM, permafrost; HC, high center polygon; FC, flat center polygon; LC, low center polygon; rep, replicate.

Sample collection and sequencing data AL, active layer; PERM, permafrost; HC, high center polygon; FC, flat center polygon; LC, low center polygon; rep, replicate. Permafrost cores were collected with a SIPRE soil corer between 2012 and 2014 (7). The corer was augmented with a hydraulic-driven rotary coring platform (Big Beaver; Little Beaver, Inc.) or manually with a gas-powered motor on a 4-m tripod auger. After retrieval, the cores were packed with dry ice in coolers during transport and stored at −25°C in the laboratory. Each permafrost core was first sliced into subsections 10 cm long with a rotary saw in a −18°C room. Then, these subsections were further cut to remove potential surface contaminants via removing the outermost 2 cm using sterile blades on a sonic cutting tool (4). DNA was extracted via the PowerSoil DNA isolation kit (MOBIO, Carlsbad, CA, USA) using 2 g material (Table 1) and quantified using the Qubit double-stranded DNA (dsDNA) high-sensitivity (HS) assay (Invitrogen, Carlsbad, CA, USA). Metagenomic sequencing was performed at the DOE Joint Genome Institute (JGI). AL soils were submitted for regular DNA library preparation and sequenced using the Illumina HiSeq 2000 platform (2 × 150 bp; Table 1). Permafrost samples were submitted for low-input DNA library preparation and sequenced using the Illumina HiSeq 2500 platform (2 × 150 bp; Table 1). BBDuk was used to remove known Illumina adapters, low-quality (>Q12) reads, spike-ins or phiX, and reads <51 bp long (8). De novo annotation of unassembled and SPAdes-assembled (9) sequences was done in JGI’s Integrated Microbial Genomes & Microbiomes (IMG/M) system (10). These data provide a resource to analyze microbial functions across topographical features and at different depths at a changing Arctic tundra site in order to understand and predict future climate trends and threads (11–13).

Data availability.

The sequences were deposited at the National Center for Biotechnology Information (NCBI) database under the SRA accession numbers listed in Table 1. The sequences and annotations are available under JGI IMG/M proposal ID 1044. A summary of the scaffolds and genes can be found at https://doi.org/10.6084/m9.figshare.20164358.v1.
  7 in total

1.  Microbes in thawing permafrost: the unknown variable in the climate change equation.

Authors:  David E Graham; Matthew D Wallenstein; Tatiana A Vishnivetskaya; Mark P Waldrop; Tommy J Phelps; Susan M Pfiffner; Tullis C Onstott; Lyle G Whyte; Elizaveta M Rivkina; David A Gilichinsky; Dwayne A Elias; Rachel Mackelprang; Nathan C VerBerkmoes; Robert L Hettich; Dirk Wagner; Stan D Wullschleger; Janet K Jansson
Journal:  ISME J       Date:  2011-11-17       Impact factor: 10.302

Review 2.  The microbial ecology of permafrost.

Authors:  Janet K Jansson; Neslihan Taş
Journal:  Nat Rev Microbiol       Date:  2014-05-12       Impact factor: 60.633

3.  The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities.

Authors:  I-Min A Chen; Ken Chu; Krishnaveni Palaniappan; Anna Ratner; Jinghua Huang; Marcel Huntemann; Patrick Hajek; Stephan Ritter; Neha Varghese; Rekha Seshadri; Simon Roux; Tanja Woyke; Emiley A Eloe-Fadrosh; Natalia N Ivanova; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

4.  metaSPAdes: a new versatile metagenomic assembler.

Authors:  Sergey Nurk; Dmitry Meleshko; Anton Korobeynikov; Pavel A Pevzner
Journal:  Genome Res       Date:  2017-03-15       Impact factor: 9.043

5.  Permafrost is warming at a global scale.

Authors:  Boris K Biskaborn; Sharon L Smith; Jeannette Noetzli; Heidrun Matthes; Gonçalo Vieira; Dmitry A Streletskiy; Philippe Schoeneich; Vladimir E Romanovsky; Antoni G Lewkowicz; Andrey Abramov; Michel Allard; Julia Boike; William L Cable; Hanne H Christiansen; Reynald Delaloye; Bernhard Diekmann; Dmitry Drozdov; Bernd Etzelmüller; Guido Grosse; Mauro Guglielmin; Thomas Ingeman-Nielsen; Ketil Isaksen; Mamoru Ishikawa; Margareta Johansson; Halldor Johannsson; Anseok Joo; Dmitry Kaverin; Alexander Kholodov; Pavel Konstantinov; Tim Kröger; Christophe Lambiel; Jean-Pierre Lanckman; Dongliang Luo; Galina Malkova; Ian Meiklejohn; Natalia Moskalenko; Marc Oliva; Marcia Phillips; Miguel Ramos; A Britta K Sannel; Dmitrii Sergeev; Cathy Seybold; Pavel Skryabin; Alexander Vasiliev; Qingbai Wu; Kenji Yoshikawa; Mikhail Zheleznyak; Hugues Lantuit
Journal:  Nat Commun       Date:  2019-01-16       Impact factor: 14.919

6.  Landscape topography structures the soil microbiome in arctic polygonal tundra.

Authors:  Neslihan Taş; Emmanuel Prestat; Shi Wang; Yuxin Wu; Craig Ulrich; Timothy Kneafsey; Susannah G Tringe; Margaret S Torn; Susan S Hubbard; Janet K Jansson
Journal:  Nat Commun       Date:  2018-02-22       Impact factor: 14.919

7.  Spatial heterogeneity and environmental predictors of permafrost region soil organic carbon stocks.

Authors:  Umakant Mishra; Gustaf Hugelius; Eitan Shelef; Yuanhe Yang; Jens Strauss; Alexey Lupachev; Jennifer W Harden; Julie D Jastrow; Chien-Lu Ping; William J Riley; Edward A G Schuur; Roser Matamala; Matthias Siewert; Lucas E Nave; Charles D Koven; Matthias Fuchs; Juri Palmtag; Peter Kuhry; Claire C Treat; Sebastian Zubrzycki; Forrest M Hoffman; Bo Elberling; Philip Camill; Alexandra Veremeeva; Andrew Orr
Journal:  Sci Adv       Date:  2021-02-24       Impact factor: 14.136

  7 in total

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