Literature DB >> 28663290

Draft Genome Sequence of Pseudomonas graminis PDD-13b-3, a Model Strain Isolated from Cloud Water.

L Besaury1, P Amato2, N Wirgot2, M Sancelme2, A M Delort2.   

Abstract

The whole genome of Pseudomonas graminis PDD-13b-3, a strain of bacteria isolated from cloud water, was sequenced. This showed that this microorganism is equipped with genes that could potentially be involved in its survival in the atmosphere and clouds: those for oxidative stress and carbon starvation responses, DNA repair, and iron uptake.
Copyright © 2017 Besaury et al.

Entities:  

Year:  2017        PMID: 28663290      PMCID: PMC5638274          DOI: 10.1128/genomeA.00464-17

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Clouds play a major role in the transformation of atmospheric compounds. They also host living microorganisms, despite high oxidative capacity and UV radiation levels, low temperatures, and rapid shifts of abiotic conditions causing physiological shocks (1–4). Among those microorganisms recovered alive from cloud water, bacteria affiliated with the genus Pseudomonas are the most frequently recovered (5). Pseudomonas graminis PDD-13b-3 (1) was recovered from a culture of cloud water sampled in July 2004 from Puy de Dôme Mountain’s meteorological station (France), at 1,465 m altitude, on R2A agar medium incubated at 17°C under aerobic conditions. Once purified from the original colony, the strain was identified based on its 16S rRNA gene sequence (GenBank accession number DQ512786). Pseudomonas graminis PDD-13b-3 has the ability to develop at low temperature, degrade some organic compounds present in clouds (6), and produce siderophores to satisfy their iron requirements (7); it thus potentially interferes with cloud chemical reactivity. This strain was found to be ice-nucleation negative (8), but it produces biosurfactants known for facilitating spread on surfaces, and perhaps also participating in cell aerosolization and cloud formation (9). Pseudomonas graminis PDD-13b-3 appears thus to be a model of cloud water microorganisms. To further understand the specificities of Pseudomonas graminis PDD-13b-3, its ability to survive in cloud water, and the implications of its presence in clouds, its whole genome was sequenced and is reported here. Whole-genome shotgun sequencing (2 × 150 bp) was prepared using the Nextera DNA sample preparation kit (Illumina, San Diego, CA, USA), according to the manufacturer’s user guide, and sequenced on an Illumina MiSeq sequencer (MR DNA; Molecular Research, Shallowater, TX, USA). Sequence data files were filtered for quality using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/), trimmed using Prinseq-Lite (10), and then de novo assembled with SPAdes (11). A total of 102 contigs were generated, with an average coverage of 22.6-fold. The average contig size was 58,931 bp, and the N50 contig size was 152,216 bp. The size of the assembled genome is 5,686,785 bp, with a G+C content of 60.11%, which are within the ranges of known values for Pseudomonas genomes (12). The draft genome of Pseudomonas graminis PDD-13b-3 was annotated using the RAST annotation server (http://rast.nmpdr.org). It contains 61 RNAs and 5,177 protein-coding genes, of which 52% were assigned to a total of 527 SEED subsystems. Among these SEED subsystems, 98 were affiliated with oxidative stress response (encoding NADPH:quinone oxidoreductase, glutathione synthetase, peroxidase, etc.) and 85 with DNA repair processes. Eleven protein-coding genes were related to iron acquisition and metabolism, encoding iron siderophore (pyoverdine) and related sensor and receptor systems. Interestingly, 8 protein-coding genes were associated with carbon starvation. All these could have contributed to Pseudomonas graminis PDD-13b-3 survival in clouds.

Accession number(s).

This whole-genome shotgun project has been deposited in the GenBank database under the accession number MTSB00000000.
  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.  Contribution of microbial activity to carbon chemistry in clouds.

Authors:  Mickaël Vaïtilingom; Pierre Amato; Martine Sancelme; Paolo Laj; Maud Leriche; Anne-Marie Delort
Journal:  Appl Environ Microbiol       Date:  2009-10-23       Impact factor: 4.792

3.  Siderophores in Cloud Waters and Potential Impact on Atmospheric Chemistry: Production by Microorganisms Isolated at the Puy de Dôme Station.

Authors:  Virginie Vinatier; Nolwenn Wirgot; Muriel Joly; Martine Sancelme; Magali Abrantes; Laurent Deguillaume; Anne-Marie Delort
Journal:  Environ Sci Technol       Date:  2016-08-18       Impact factor: 9.028

Review 4.  Pseudomonas genomes: diverse and adaptable.

Authors:  Mark W Silby; Craig Winstanley; Scott A C Godfrey; Stuart B Levy; Robert W Jackson
Journal:  FEMS Microbiol Rev       Date:  2011-03-25       Impact factor: 16.408

5.  Microorganisms isolated from the water phase of tropospheric clouds at the Puy de Dôme: major groups and growth abilities at low temperatures.

Authors:  Pierre Amato; Marius Parazols; Martine Sancelme; Paolo Laj; Gilles Mailhot; Anne-Marie Delort
Journal:  FEMS Microbiol Ecol       Date:  2007-02       Impact factor: 4.194

6.  Quality control and preprocessing of metagenomic datasets.

Authors:  Robert Schmieder; Robert Edwards
Journal:  Bioinformatics       Date:  2011-01-28       Impact factor: 6.937

  6 in total

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