Literature DB >> 26044431

Draft genome sequences of two protease-producing strains of arsukibacterium, isolated from two cold and alkaline environments.

Jeanette E Lylloff1, Lea B S Hansen2, Morten Jepsen1, Peter F Hallin3, Søren J Sørensen2, Peter Stougaard4, Mikkel A Glaring1.   

Abstract

Arsukibacterium ikkense GCM72(T) and a close relative, Arsukibacterium sp. MJ3, were isolated from two cold and alkaline environments as producers of extracellular proteolytic enzymes active at high pH and low temperature. This report describes the two draft genome sequences, which may serve as sources of future industrial enzymes.
Copyright © 2015 Lylloff et al.

Entities:  

Year:  2015        PMID: 26044431      PMCID: PMC4457068          DOI: 10.1128/genomeA.00585-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Cold and alkaline environments are very rare on Earth, and knowledge regarding the organisms that thrive in such polyextreme environments is limited. The submarine ikaite tufa columns in the Ikka Fjord in southwest Greenland represent a unique, permanently cold (<6°C), and alkaline (pH >10) environment (1) and have been shown to harbor a diverse bacterial community adapted to these conditions (2–4). A large number of bacteria from the ikaite columns have previously been isolated, and many of these produce extracellular enzymes active at high pH and low temperature (5, 6). One isolate producing high levels of extracellular proteolytic activity was characterized as Arsukibacterium ikkense GCM72T (7). A close protease-producing relative (98.6% identity between 16S rRNA genes) was isolated from a series of alkaline ponds located in the McMurdo Dry Valley region in the Antarctica and named Arsukibacterium sp. MJ3. Both strains grow optimally at 15°C and pH 9 to 10 and produce extracellular proteolytic enzymes active at 5°C and pH 10. In this report, we describe the annotated draft genome sequences of these two strains of Arsukibacterium. The genome sequences are part of an ongoing research effort aimed at identifying new cold- and alkaline-active hydrolytic enzymes. Genomic DNA was isolated from liquid cultures growing in standard R2 broth medium supplemented with 1% NaCl. Genome sequences were obtained by Illumina HiSeq paired-end sequencing of a short insert library. Assembly was performed using CLC Genomics Workbench (http://www.clcbio.com) for A. ikkense, resulting in a 4,127,744-bp genome assembly in 44 contigs (>400 bp) with an N50 contig length of 187,051 bp, and using IDBA (8) for Arsukibacterium sp. MJ3, resulting in a 3,746,433-bp assembly in 196 contigs (>400 bp) with an N50 contig length of 146,257 bp. The G+C content was 48.55%, and 46.02% for A. ikkense and Arsukibacterium sp. MJ3, respectively. Annotation of the genomes through the NCBI Prokaryotic Genome Annotation Pipeline resulted in 3,605 predicted coding sequences and 63 RNA sequences in the A. ikkense genome and 3,330 predicted coding sequences and 67 RNA sequences in the Arsukibacterium sp. MJ3 genome. The closest characterized relative of both strains is Rheinheimera perlucida type strain BA124 (DSM 15883), isolated from the Baltic Sea (9). The genomes of both strains encode a number of putative extracellular proteases, including several serine proteases of the subtilisin type and numerous oligo-, di-, and exopeptidases, which may function in complete degradation of extracellular protein for nutritional purposes. Preliminary exoproteomic data on A. ikkense indicate that many of these proteases are secreted to the growth medium and may thus be responsible for the observed proteolytic activity at low temperature and high pH.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited in DDBJ/ENA/GenBank under the accession numbers LAHO00000000 (A. ikkense GCM72) and LAHP00000000 (Arsukibacterium sp. MJ3). The versions described in this paper are the first versions, LAHO01000000 and LAHP01000000.
  8 in total

1.  IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.

Authors:  Yu Peng; Henry C M Leung; S M Yiu; Francis Y L Chin
Journal:  Bioinformatics       Date:  2012-04-11       Impact factor: 6.937

2.  Bacterial diversity in permanently cold and alkaline ikaite columns from Greenland.

Authors:  Mariane Schmidt; Anders Priemé; Peter Stougaard
Journal:  Extremophiles       Date:  2006-06-13       Impact factor: 2.395

3.  Arsukibacterium ikkense gen. nov., sp. nov, a novel alkaliphilic, enzyme-producing gamma-Proteobacterium isolated from a cold and alkaline environment in Greenland.

Authors:  Mariane Schmidt; Anders Priemé; Peter Stougaard
Journal:  Syst Appl Microbiol       Date:  2006-06-21       Impact factor: 4.022

4.  Improving diversity in cultures of bacteria from an extreme environment.

Authors:  Jan Kjølhede Vester; Mikkel Andreas Glaring; Peter Stougaard
Journal:  Can J Microbiol       Date:  2013-06-18       Impact factor: 2.419

5.  An exceptionally cold-adapted alpha-amylase from a metagenomic library of a cold and alkaline environment.

Authors:  Jan Kjølhede Vester; Mikkel Andreas Glaring; Peter Stougaard
Journal:  Appl Microbiol Biotechnol       Date:  2014-07-20       Impact factor: 4.813

6.  Rheinheimera perlucida sp. nov., a marine bacterium of the Gammaproteobacteria isolated from surface water of the central Baltic Sea.

Authors:  Ingrid Brettar; Richard Christen; Manfred G Höfle
Journal:  Int J Syst Evol Microbiol       Date:  2006-09       Impact factor: 2.747

7.  Microbial diversity in a permanently cold and alkaline environment in Greenland.

Authors:  Mikkel A Glaring; Jan K Vester; Jeanette E Lylloff; Waleed Abu Al-Soud; Søren J Sørensen; Peter Stougaard
Journal:  PLoS One       Date:  2015-04-27       Impact factor: 3.240

8.  Discovery of novel enzymes with industrial potential from a cold and alkaline environment by a combination of functional metagenomics and culturing.

Authors:  Jan Kjølhede Vester; Mikkel Andreas Glaring; Peter Stougaard
Journal:  Microb Cell Fact       Date:  2014-05-20       Impact factor: 5.328

  8 in total
  1 in total

1.  Genomic and exoproteomic analyses of cold- and alkaline-adapted bacteria reveal an abundance of secreted subtilisin-like proteases.

Authors:  Jeanette E Lylloff; Lea B S Hansen; Morten Jepsen; Kristian W Sanggaard; Jan K Vester; Jan J Enghild; Søren J Sørensen; Peter Stougaard; Mikkel A Glaring
Journal:  Microb Biotechnol       Date:  2016-02-01       Impact factor: 5.813

  1 in total

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