Literature DB >> 35575557

Draft Genome Sequences of 10 Pseudomonas sp. Isolates from the Active Layer of Permafrost in Ny Ålesund, Svalbard, Norway.

Katie Sipes1,2, Raegan Paul1, Tullis C Onstott3, Tatiana A Vishnivetskaya4, Karen G Lloyd1.   

Abstract

Ten distinct isolates from the genus Pseudomonas were isolated in culture. The genomes of these isolates were sequenced using the Illumina MiSeq platform and assembled in order to provide insight into the metabolic and carbon-degrading potential of bacteria residing in soils at high latitudes.

Entities:  

Year:  2022        PMID: 35575557      PMCID: PMC9202415          DOI: 10.1128/mra.00201-22

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


ANNOUNCEMENT

Pseudomonas is a genus of gammaproteobacteria that is found in many environments. Members of the genus Pseudomonas are known for their ability to adapt to new environmental conditions, their metabolic versatility, and their ability to utilize different compounds as a source of carbon, nitrogen or phosphorus, which makes them ubiquitous. Pseudomonas sp. strains have been isolated from active-layer sediment of permafrost (1). As more microorganisms are cultivated from permafrost-affected environments, we can gain a deeper understanding of the community structure and predict microbial responses to climate change. In this report, draft genome sequences were obtained for 10 Pseudomonas sp. isolates from the active layer of permafrost in Ny Ålesund, Svalbard (78°55.237′N, 011°50.495′E). The sediment samples were collected from two cores, BPF1 (0 to 58 cm) and BPF2 (0 to 30 cm), unearthed using a SIPRE auger drill from fully frozen ground in April 2018. Both cores were trimmed and separated into intervals of 2-cm vertical depths following an aseptic procedure. The sediment was mixed with sterile phosphate-buffered saline (PBS) at a ratio of 1:1. The organisms were then grown on Reasoner’s 2A (R2A) agar plates. The plates were incubated at 4°C for 3 weeks. Once the bacteria grew into distinct colonies, they were transferred to 10 mL R2A broth medium. The bacteria were then grown at 4°C and stationary conditions for 3 weeks. After growth, the cells were pelleted by centrifugation at 5,000 × g for 5 min, then resuspended in a buffer from the Qiagen DNeasy PowerSoil kit (Qiagen, Germany). This kit was used to extract genomic DNA from each isolate. Following extraction, the DNA was prepped using a Nextera XT library prep kit and sequenced using an Illumina MiSeq instrument with v3 chemistry (600 cycles, 2 × 300-bp format) at the University of Tennessee, Knoxville Center for Environmental Biotechnology (Table 1). The genomic data were retrieved from Illumina BaseSpace and assembled using SPAdes v3.13.0 (2) at https://www.kbase.us/ using default parameters (see link in “Data availability”) (3). The quality of the assemblies was reviewed using QUAST v4.4 (4). Annotations were performed using Prokka v1.14.6 (5).
TABLE 1

Strain information, average nucleotide identity results, and sequencing metrics for the whole-genome sequences in this study

Strain nameSvalbard site origin (depth [cm])Closest matchaIdentity (%)GC content (%)Total length (bp)Avg read length (bp)No. of readsNo. of contigsN50 (bp)
B3BPF1 (24–36)Pseudomonas silesiensis strain ILQ2159958.6211,789,631254.42,487,6622,00114,511
B4BPF1 (48–58)Pseudomonas mandelii strain JZY4-679958.756,458,228259.113,314,326147146,853
B5BPF1 (0–12)Pseudomonas sp. strain PF1B210058.756,495,411260.273,829,288210125,761
B7BPF2 (20–30)Pseudomonas sp. strain PF1B210057.9312,755,968258.212,947,6522,08847,400
E5BPF1 (36–48)Pseudomonas sp. strain PAMC 2733110059.039,163,259259.982,493,94435830,476
E6BPF1 (0–12)Pseudomonas mandelii strain UTB_1189959.315,205,891259.783,091,49814743,242
E7BPF2 (20–30) Pseudomonas mandelii 10059.1211,138,125260.952,900,79627752,862
G16BPF1 (48–58)Pseudomonas mandelii strain UTB_1159962.8710,219,356255.913,646,71674269,342
G17BPF1 (48–58)Pseudomonas sp. strain PAMC 273579961.778,423,581243.112,297,29051281,547
G19BPF1 (0–12)Pseudomonas sp. strain PF3B139952.599,857,464258.454,733,58056182,733

Based on a search of NCBI’s 16S rRNA gene database.

Strain information, average nucleotide identity results, and sequencing metrics for the whole-genome sequences in this study Based on a search of NCBI’s 16S rRNA gene database. In this article, we report the isolation and genome sequencing of 10 Pseudomonas strains, namely, strains B3, B4, B5, E5, E6, G16, G17, and G19 (from the BPF1 active-layer core) and strains E7 and B7 (from BPF2). The species of each bacterial strain was determined by comparison of its 16S rRNA gene to the NCBI database (Table 1). The Pseudomonas sp. isolates were analyzed for their carbon-degrading activity, and their genomes were analyzed for the presence of catabolic genes corresponding to those activities (6). Out of seven enzymes tested, all isolates had the highest activity of leucine aminopeptidase and the highest number of peptidase genes (6). The data presented in this article extend our previous knowledge on the microbial diversity of organisms present in the active layer of permafrost-affected soil.

Data availability.

The whole-genome sequences and SRA submissions can be found at NCBI GenBank under BioProject accession number PRJNA649544. The workflow of the metagenomic analysis can be found at the following permanent link with a free account: https://www.kbase.us/.
  6 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

3.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

4.  KBase: The United States Department of Energy Systems Biology Knowledgebase.

Authors:  Adam P Arkin; Robert W Cottingham; Christopher S Henry; Nomi L Harris; Rick L Stevens; Sergei Maslov; Paramvir Dehal; Doreen Ware; Fernando Perez; Shane Canon; Michael W Sneddon; Matthew L Henderson; William J Riehl; Dan Murphy-Olson; Stephen Y Chan; Roy T Kamimura; Sunita Kumari; Meghan M Drake; Thomas S Brettin; Elizabeth M Glass; Dylan Chivian; Dan Gunter; David J Weston; Benjamin H Allen; Jason Baumohl; Aaron A Best; Ben Bowen; Steven E Brenner; Christopher C Bun; John-Marc Chandonia; Jer-Ming Chia; Ric Colasanti; Neal Conrad; James J Davis; Brian H Davison; Matthew DeJongh; Scott Devoid; Emily Dietrich; Inna Dubchak; Janaka N Edirisinghe; Gang Fang; José P Faria; Paul M Frybarger; Wolfgang Gerlach; Mark Gerstein; Annette Greiner; James Gurtowski; Holly L Haun; Fei He; Rashmi Jain; Marcin P Joachimiak; Kevin P Keegan; Shinnosuke Kondo; Vivek Kumar; Miriam L Land; Folker Meyer; Marissa Mills; Pavel S Novichkov; Taeyun Oh; Gary J Olsen; Robert Olson; Bruce Parrello; Shiran Pasternak; Erik Pearson; Sarah S Poon; Gavin A Price; Srividya Ramakrishnan; Priya Ranjan; Pamela C Ronald; Michael C Schatz; Samuel M D Seaver; Maulik Shukla; Roman A Sutormin; Mustafa H Syed; James Thomason; Nathan L Tintle; Daifeng Wang; Fangfang Xia; Hyunseung Yoo; Shinjae Yoo; Dantong Yu
Journal:  Nat Biotechnol       Date:  2018-07-06       Impact factor: 54.908

5.  Permafrost Active Layer Microbes From Ny Ålesund, Svalbard (79°N) Show Autotrophic and Heterotrophic Metabolisms With Diverse Carbon-Degrading Enzymes.

Authors:  Katie Sipes; Raegan Paul; Aubrey Fine; Peibo Li; Renxing Liang; Julia Boike; Tullis C Onstott; Tatiana A Vishnivetskaya; Sean Schaeffer; Karen G Lloyd
Journal:  Front Microbiol       Date:  2022-02-03       Impact factor: 5.640

  6 in total

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