Literature DB >> 23868120

Draft Genome Sequence of Agarivorans albus Strain MKT 106T, an Agarolytic Marine Bacterium.

Motoshige Yasuike1, Yoji Nakamura, Wataru Kai, Atushi Fujiwara, Youhei Fukui, Masataka Satomi, Motohiko Sano.   

Abstract

Agarivorans albus is a Gram-negative, strictly aerobic, and agar-hydrolyzing marine bacterium. We present the draft genome sequence of the A. albus strain MKT 106(T), which is composed of 67 contigs (>500 bp) totaling 4,734,285 bp and containing 4,397 coding DNA sequences (CDSs), four rRNAs, and 64 tRNA sequences.

Entities:  

Year:  2013        PMID: 23868120      PMCID: PMC3715662          DOI: 10.1128/genomeA.00367-13

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Members of the genus Agarivorans, which is currently composed of two species, are Gram-negative, strictly aerobic, and agar-hydrolyzing bacteria (1, 2). Agarivorans albus, the type species of the genus Agarivorans, was isolated by Kurahashi and Yokota (1) from the intestines of healthy marine creatures (molluscs and protochordata) that were collected from the coast of the Kanto area in Japan. Recently, an isolate of Agarivorans gilvus taken from a fresh seaweed sample collected from the coast of Weihai in China has been proposed to be a novel member of the genus Agarivorans (2). One of the particular phenotypic features of members of the genus Agarivorans is their ability to degrade agar (1). This attribute likely plays a role in alga-feeding marine creatures and within the carbon cycle of the marine ecosystem (1, 2). Although several β-agarase genes that catalyze the hydrolysis of agar (reviewed in reference 3) have been identified in A. albus (4 –6) and Agarivorans sp. (6–11), there is no whole-genome sequence information available for the genus. We therefore undertook to characterize the genomic features of the genus Agarivorans, and we present here the draft genome sequence of A. albus strain MKT 106T (1). A. albus MKT 106T was purchased from the NITE Biological Resource Center (NBRC), National Institute of Technology and Evaluation (NITE), and whole-genome shotgun sequencing was performed on the Roche 454 GS-FLX+ Titanium sequencing platform. A total of 180,812 reads (63,595,663 bases) were obtained and assembled using Newbler v2.6 (Roche Diagnostics). The assembled genome is composed of 67 contigs (>500 bp) totaling 4,734,285 bp, with a G+C content of 44.2%. The N50 contig size is 124,617 bp and the largest contig is 357,826 bp. The draft genome sequence of A. albus MKT 106T was annotated using the Rapid Annotations using Subsystems Technology (RAST) server v4.0 (12) with SEED data sets (13, 14). The draft genome contains 4,397 predicted coding DNA sequences (CDSs) with an average length of 946 bp, four rRNAs (2 5S, 1 16S, and 1 23S), and 64 tRNA sequences. This RAST-based annotation showed the presence of 480 subsystems in the draft genome. A subsystem is a set of functional roles that make up a metabolic pathway, a biological process, a structural complex, or a class of proteins (13, 14). A comparison of genome sequences available in the SEED data sets revealed that Psychromonas ingrahamii strain 37 is the closest neighbor of A. albus MKT 106T (score, 512), followed by Shewanella loihica strain PV-4 (score, 479). Both of these neighbors and A. albus belong to the order Alteromonadales. This is the first whole-genome sequence for a member of the genus Agarivorans. This genomic information will provide a reference genome data set of Agarivorans, as well as help define the phylogenic relationships between this genus and other species of bacteria in future studies.

Nucleotide sequence accession numbers.

The draft genome sequence of A. albus MKT 106T was submitted to DDBJ under accession no. BARX01000001 to BARX01000067.
  13 in total

1.  Agarivorans albus gen. nov., sp. nov., a gamma-proteobacterium isolated from marine animals.

Authors:  Midori Kurahashi; Akira Yokota
Journal:  Int J Syst Evol Microbiol       Date:  2004-05       Impact factor: 2.747

2.  Gene cloning, expression and characterization of a neoagarotetraose-producing β-agarase from the marine bacterium Agarivorans sp. HZ105.

Authors:  Bokun Lin; Guoyong Lu; Yandan Zheng; Wei Xie; Shengkang Li; Zhong Hu
Journal:  World J Microbiol Biotechnol       Date:  2011-12-27       Impact factor: 3.312

3.  Agarivorans gilvus sp. nov. isolated from seaweed.

Authors:  Zong-Jun Du; Guo-Qiang Lv; Alejandro P Rooney; Ting-Ting Miao; Qing-Qiang Xu; Guan-Jun Chen
Journal:  Int J Syst Evol Microbiol       Date:  2010-04-02       Impact factor: 2.747

4.  Cloning, expression, and characterization of a glycoside hydrolase family 50 beta-agarase from a marine Agarivorans isolate.

Authors:  Dong-Geun Lee; Geun-Tae Park; Nam Young Kim; Eo-Jin Lee; Min Kyung Jang; Young Gyun Shin; Gwang-Seok Park; Tae-Min Kim; Jae-Hwa Lee; Jung-Hyun Lee; Sang-Jin Kim; Sang-Hyeon Lee
Journal:  Biotechnol Lett       Date:  2006-09-23       Impact factor: 2.461

Review 5.  Agarase: review of major sources, categories, purification method, enzyme characteristics and applications.

Authors:  Xiao Ting Fu; Sang Moo Kim
Journal:  Mar Drugs       Date:  2010-01-26       Impact factor: 5.118

6.  Purification and characterization of a novel beta-agarase, AgaA34, from Agarivorans albus YKW-34.

Authors:  Xiao Ting Fu; Hong Lin; Sang Moo Kim
Journal:  Appl Microbiol Biotechnol       Date:  2007-12-11       Impact factor: 4.813

7.  A novel beta-agarase with high pH stability from marine Agarivorans sp. LQ48.

Authors:  Mengxian Long; Ziniu Yu; Xun Xu
Journal:  Mar Biotechnol (NY)       Date:  2009-05-30       Impact factor: 3.619

8.  High-level expression of a neoagarobiose-producing beta-agarase gene from Agarivorans sp. JAMB-A11 in Bacillus subtilis and enzymic properties of the recombinant enzyme.

Authors:  Yukari Ohta; Yuji Hatada; Susumu Ito; Koki Horikoshi
Journal:  Biotechnol Appl Biochem       Date:  2005-04       Impact factor: 2.431

9.  Toward the automated generation of genome-scale metabolic networks in the SEED.

Authors:  Matthew DeJongh; Kevin Formsma; Paul Boillot; John Gould; Matthew Rycenga; Aaron Best
Journal:  BMC Bioinformatics       Date:  2007-04-26       Impact factor: 3.169

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

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