Literature DB >> 23640379

Complete Genome Sequence of Glaciecola psychrophila Strain 170T.

Jinlong Yin1, Jing Chen, Guiming Liu, Yong Yu, Lai Song, Xumin Wang, Xiaobo Qu.   

Abstract

Here, we report the complete genome sequence of Glaciecola psychrophila strain 170(T), a novel species of the genus Glaciecola, isolated from sea ice at high-latitude Arctic locations. The genome consists of a single chromosome (5,413,691 bp) and 5,363 genes. The genomics information will facilitate the study of the physiology, cold adaptation, and evolution of this genus.

Entities:  

Year:  2013        PMID: 23640379      PMCID: PMC3642286          DOI: 10.1128/genomeA.00199-13

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

The genus Glaciecola was proposed by Bowman et al. (1) to accommodate Gram-negative, aerobic, psychrophilic, pigmented, and seawater-requiring bacteria. Members of the genus Glaciecola have been isolated from sea-ice samples collected from coastal areas of eastern Antarctica, marine invertebrate specimens, and polar seawater. Hitherto, the genus has comprised nine recognized species, including four psychrotolerant species, Glaciecola polaris (2), Glaciecola chathamensis (3), Glaciecola nitratireducens (4), and Glaciecola agarilytica (5); three psychrophile species, Glaciecola punicea, Glaciecola pallidula (1), and Glaciecola psychrophila (6); and Glaciecola mesophila (7) and Glaciecola lipolytica (8). Because of the wide temperature range tolerated for the growth of Glaciecola, it might be a good model to investigate bacterial cold adaptation mechanisms and evolution. Glaciecola psychrophila strain 170T was collected from high-latitude Arctic locations (77°30′N to approximately 81°12′N), including the Canadian Basin and Greenland Sea. The temperature range for the growth of strain 170T was 4 to 15°C, with optimum growth at 12°C, the lowest optimal temperature for a known species of the genus (6). The Glaciecola psychrophila 170T genome was sequenced with the 454 GS-FLX platform. A total of 158,121 high-quality reads with an average read length of 412 bp were produced, providing about 12-fold coverage of the genome. Assembly was performed using Newbler version 2.6, resulting in 142 large (defined as >500 bp) contigs. The relationship of contigs was determined by multiplex PCR, and gaps were filled through Sanger sequencing of PCR products by primer walking. The Phred/Phrap/Consed software package (9) was used for final sequence assembly and quality assessment. Protein-coding genes were predicted by combining the results of Glimmer 3.02 (10) and ZCURVE (11), followed by manual inspection. tRNA and rRNA genes were identified by tRNAscan-SE (12) and RNAmmer (13), respectively. Functional annotation was performed by searching against the NCBI nr, Swiss-Prot (14), InterProScan (15), COG (16), and KEGG (17) databases. The single, circular chromosome constituting the genome of 170T is composed of 5,413,691 bases, with a G+C content of 40.3%. It contains 5,636 open reading frames (ORFs), 6 rRNA operons, and 59 tRNA genes. There are 2,988 genes involving 23 COG function categories and 1,925 genes annotated into 1,799 KEGG orthology assignments by KAAS, involving 195 metabolic pathways. Furthermore, several genes potentially having a role related to cold adaptation were detected, such as genes for chaperonin GroEL, chaperonin GroES, RecA protein, and cold shock-like proteins. In summary, the sequenced genome of Glaciecola psychrophila 170T not only facilitates research of the physiology, cold adaptation, and evolution of this genus but also opens up new opportunities to understand the functional genomics of this genus.

Nucleotide sequence accession number.

The genome data have been deposited in GenBank under the accession number CP003837.
  17 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Identifying bacterial genes and endosymbiont DNA with Glimmer.

Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

3.  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

4.  Glaciecola nitratireducens sp. nov., isolated from seawater.

Authors:  Keun Sik Baik; Yoon-Dong Park; Chi Nam Seong; Eun Mi Kim; Kyung Sook Bae; Jongsik Chun
Journal:  Int J Syst Evol Microbiol       Date:  2006-09       Impact factor: 2.747

5.  The COG database: new developments in phylogenetic classification of proteins from complete genomes.

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Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

6.  Glaciecola psychrophila sp. nov., a novel psychrophilic bacterium isolated from the Arctic.

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Journal:  Int J Syst Evol Microbiol       Date:  2006-12       Impact factor: 2.747

7.  Glaciecola chathamensis sp. nov., a novel marine polysaccharide-producing bacterium.

Authors:  Hidetoshi Matsuyama; Toshikazu Hirabayashi; Hirokazu Kasahara; Hideki Minami; Tamotsu Hoshino; Isao Yumoto
Journal:  Int J Syst Evol Microbiol       Date:  2006-12       Impact factor: 2.747

8.  Automated finishing with autofinish.

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Journal:  Genome Res       Date:  2001-04       Impact factor: 9.043

9.  Glaciecola lipolytica sp. nov., isolated from seawater near Tianjin city, China.

Authors:  Li-Ping Chen; Hai-Ying Xu; Song-Zhe Fu; Hong-Xia Fan; Ying-Hao Liu; Shuang-Jiang Liu; Zhi-Pei Liu
Journal:  Int J Syst Evol Microbiol       Date:  2009-01       Impact factor: 2.747

10.  InterProScan: protein domains identifier.

Authors:  E Quevillon; V Silventoinen; S Pillai; N Harte; N Mulder; R Apweiler; R Lopez
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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Authors:  Timothy G Stephens; Raúl A González-Pech; Yuanyuan Cheng; Amin R Mohamed; David W Burt; Debashish Bhattacharya; Mark A Ragan; Cheong Xin Chan
Journal:  BMC Biol       Date:  2020-05-24       Impact factor: 7.431

2.  Recognition of Protein-coding Genes Based on Z-curve Algorithms.

Authors:  Feng -Biao Guo; Yan Lin; Ling -Ling Chen
Journal:  Curr Genomics       Date:  2014-04       Impact factor: 2.236

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