Literature DB >> 25414495

Draft Genome Sequence of Psychrotrophic Acinetobacter sp. Strain MN12 (MTCC 10786), Which Produces a Low-Temperature-Active and Alkaline-Stable Peptidase.

Mohit Kumar Swarnkar1, Richa Salwan, Ramesh Chand Kasana2, Anil Kumar Singh3.   

Abstract

We report here the draft genome sequence of Acinetobacter sp. strain MN12 (MTCC 10786), which is a psychrotrophic bacterium that produces an extracellular low-temperature-active and alkaline-stable peptidase. The draft genome assembly of Acinetobacter sp. MN12 has a size of 4.31 Mbp, with a G+C content of 40.75%.
Copyright © 2014 Swarnkar et al.

Entities:  

Year:  2014        PMID: 25414495      PMCID: PMC4239350          DOI: 10.1128/genomeA.01167-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Previously, we isolated Acinetobacter sp. strain MN12 from soil from the Mane area (32°1′42″N 78°14′22″E) of Lahaul and Spiti, India (1). The protease produced by Acinetobacter sp. MN12 is active at low temperatures, alkaline stable, and effectively removes blood stains at a low temperature (2). The culture was deposited at the Microbial Type Culture Collection and Gene Bank, Chandigarh, India (accession no. MTCC 10786). The genome of Acinetobacter sp. MN12 was sequenced, given its ability to grow and produce low-temperature-active and alkaline-stable proteases of commercial importance. Whole-genome shotgun sequencing of Acinetobacter sp. MN12 was completed using the Illumina Genome Analyzer IIx in 76-bp paired-read format. We obtained 21,418,969 raw reads, with 3,255,683,288 bp of raw sequence. The paired reads were quality filtered using the NGS QC toolkit version 2.3 (3). The cutoff for quality score is >20 Q30 and should have high-quality bases of >70% of read length. A total of 16,615,129 (77.57%) of the filtered reads were obtained without adaptor/primer contamination, and these were used for assembly. De novo assembly of the genome data was done using ABySS version 1.3.7 (4). In this data set, the k parameter (from 43 to 73) was optimized for best assembly. We found that at k = 69mers, 72.5% (12,053,547) of the reads were found paired, and 24.1% (3,999,305) of the reads were singletons. We used SSPACE version 3.0 (5) to extend and merge the resulting scaffolds based on read-pair information and short overlaps to reduce the number of contigs. GapFiller version 1.1 (6) was used to close the gaps between the short contigs that are contained within the large contigs by replacing unknown nucleotides (Ns) with true nucleotides based on read-pair information and short overlaps. After filling the gaps, the reads were assembled as 107 contigs summing 4,314,475 bp (N50 size, 107,558; longest size, 249,707; G+C content, 40.75%). Annotation was conducted with the RAST server using the Glimmer 3 option and predicted 4,074 protein-coding genes, including 83 RNA genes and 403 predicted SEED subsystem features (7). A total of 1,594 (40%) features were covered by seed subsystems, out of which 1,530 were nonhypothetical proteins. The annotation of the MN12 genome using Prodigal (8) predicted 4,017 coding sequences (1,407 >1 kb; mean size, 935) covering 87% of the assembled genome. Further, tRNAscan-SE (9) and RNAmmer (10) predicted 78 noncoding RNAs (73 tRNAs, 2 pseudo-tRNAs, and 3 rRNAs consisting of 3 copies each of 5S rRNA, 16S rRNA, and 23S rRNA genes). A comparison of the MN12 genome with existing genome sequences performed using the RAST server revealed that Acinetobacter junii SH205 (score, 501) and Acinetobacter haemolyticus ATCC 19194 (score, 477) are its closest neighbors. In the MN12 genome, 327 genes were assigned for amino acids and derivatives, 215 for carbohydrates, and 207 for protein metabolism. The genome contains 66 genes predicted for proteases and peptidases. The comparative genome analysis of Acinetobacter sp. MN12, a protease-producing psychrotroph, with other Acinetobacter species will give insight into the evolutionary relationship and knowledge about the basic genetics of this important genus.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession no. JROB00000000. The version described in this paper is version JROB01000000.
  10 in total

1.  Scaffolding pre-assembled contigs using SSPACE.

Authors:  Marten Boetzer; Christiaan V Henkel; Hans J Jansen; Derek Butler; Walter Pirovano
Journal:  Bioinformatics       Date:  2010-12-12       Impact factor: 6.937

2.  NGS QC Toolkit: a toolkit for quality control of next generation sequencing data.

Authors:  Ravi K Patel; Mukesh Jain
Journal:  PLoS One       Date:  2012-02-01       Impact factor: 3.240

3.  ABySS: a parallel assembler for short read sequence data.

Authors:  Jared T Simpson; Kim Wong; Shaun D Jackman; Jacqueline E Schein; Steven J M Jones; Inanç Birol
Journal:  Genome Res       Date:  2009-02-27       Impact factor: 9.043

4.  Phylogenetic diversity of alkaline protease-producing psychrotrophic bacteria from glacier and cold environments of Lahaul and Spiti, India.

Authors:  Richa Salwan; Arvind Gulati; Ramesh Chand Kasana
Journal:  J Basic Microbiol       Date:  2010-04       Impact factor: 2.281

5.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

6.  Purification and Characterization of an Extracellular Low Temperature-Active and Alkaline Stable Peptidase from Psychrotrophic Acinetobacter sp. MN 12 MTCC (10786).

Authors:  Richa Salwan; Ramesh Chand Kasana
Journal:  Indian J Microbiol       Date:  2012-12-30       Impact factor: 2.461

7.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

8.  Toward almost closed genomes with GapFiller.

Authors:  Marten Boetzer; Walter Pirovano
Journal:  Genome Biol       Date:  2012-06-25       Impact factor: 13.583

9.  RNAmmer: consistent and rapid annotation of ribosomal RNA genes.

Authors:  Karin Lagesen; Peter Hallin; Einar Andreas Rødland; Hans-Henrik Staerfeldt; Torbjørn Rognes; David W Ussery
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

10.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

  10 in total

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