Literature DB >> 27811093

Draft Genome Sequence of the Bacterium Comamonas aquatica CJG.

Wenkui Dai1, Yutong Zhu2, Xiqian Wang3, Nazgul Sakenova3, Zhenyu Yang4, Hongjuan Wang4, Guoqiao Li2, Jiajing He2, Deyu Huang2, Yongfei Cai3, Weizheng Guo5, Qian Wang3, Tingting Feng3, Quanshui Fan5, Tianling Zheng3, Aidong Han6.   

Abstract

A Gram-negative bacterial strain, Comamonas aquatica CJG, absorbs low-density lipoprotein but not high-density lipoprotein in serum. Here, we report its draft genomic sequence of 3,764,434 bp, containing total 3,425 genes, 27% of which encode proteins for metabolism and energy conversion, and it is 30% identical to the genome of Comamonas testosteroni.
Copyright © 2016 Dai et al.

Entities:  

Year:  2016        PMID: 27811093      PMCID: PMC5095463          DOI: 10.1128/genomeA.01186-16

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Through our effort to examine possible pathogens in water sources, a Gram-negative bacterial strain, Comamonas aquatica CJG, was isolated from Daguan River in Kuming, China, in 1963 (1, 2). C. aquatica is like a slightly curved rod, with two to eight flagella. Its liquid culture grows at 37°C with light-red color and a foul smell. It is resistant to several antibiotics, including penicillin, cephalosporin, and bacitracin, but it is highly sensitive to chloramphenicol and tetracycline (1). Interestingly, C. aquatica can absorb serum low-density lipoprotein (LDL) and very low-density lipoprotein (VLDL) but not high-density lipoprotein (HDL) (1, 2). This strain was originally named Pseudomonas sp. 16Zu, since it was very close to the genus Pseudomonas biochemically and morphologically. Based on 16S rRNA gene sequence, we found that this strain is in fact quite different from Pseudomonas but rather is 99% identical to a lesser-known species, Comamonas aquatica (3, 4). It is also 96% identical to Comamonas testosteroni (5, 6). We therefore renamed this strain Comamonas aquatica CJG. We then sequenced its whole genome by Illumina HiSeq 2000 using its DNA sample prepared by a commercial bacterial genomic extraction kit. To build libraries, the genomic DNA was sonicated with Covaris or Bioruptor to produce fragments of <500 bp in size, filled up and extended by Klenow DNA polymerase, and ligated to T-vector. Sequencing of this library with inserts of 150 to 500 bp produced 781 Mb paired-end reads (~200-fold coverage), which were filtered by the NGS QC toolkit (7) to generate clean data of 700 Mb. The clean data combined with another data set generated similarly using a library of 2,000 bp (350 Mb) were assembled in SOAPdenovo (8). The final assembly has 136 scaffolds, with an N50 length of 284,677 bp and maximum length of 669,486 bp. The genome was annotated using the databases of COG, Swiss-Prot, KEGG, and TrEMBL (9–12). The draft genome of the C. aquatica CJG strain is 3,764,434 bp. The G+C content is 64.4%. A total 3,425 genes of about 87% of the genome are annotated, encoding 3,125 proteins. Those responsible for metabolism and energy conversion account for 27% of the total genes, and about 470 genes are related to replication, transcription, translation, and trafficking. The bacterial strain also harbors 111 genes, functioning in protein posttranslational folding, modification, and homeostasis. About 145 genes encode signal transduction components and virulence factors, including EnvZ, KdpE, ComE, and CheA. Interestingly, the strain contains 209 functional unknown proteins. Whether these contribute to LDL absorbance remains to be determined. A comparison of the C. aquatica CJG genome with the nucleotide database of all other bacterial genomes in GenBank using BLAST (13) indicated that the genome shows the highest similarity (E value ≤E-5) to Comamonas testosteroni (99 out of 320 contigs). The second best match is Delftia acidovorans (47 out of 320 contigs). Several other Acidovorax and Alicycliphilus strains also have some similarity (12 to 14 out of 320 contigs). All these genera belong to the Comamonadaceae family.

Accession number(s).

This genome has been deposited in GenBank/ENA/DDBJ under accession number CP016603.
  11 in total

1.  The KEGG resource for deciphering the genome.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Yasushi Okuno; Masahiro Hattori
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

4.  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

5.  Molecular bacterial community analysis of clean rooms where spacecraft are assembled.

Authors:  Christine Moissl; Shariff Osman; Myron T La Duc; Anne Dekas; Eoin Brodie; Todd DeSantis; Tadd Desantis; Kasthuri Venkateswaran
Journal:  FEMS Microbiol Ecol       Date:  2007-07-26       Impact factor: 4.194

6.  The complete genome of Comamonas testosteroni reveals its genetic adaptations to changing environments.

Authors:  Ying-Fei Ma; Yun Zhang; Jia-Yue Zhang; Dong-Wei Chen; Yongqian Zhu; Huajun Zheng; Sheng-Yue Wang; Cheng-Ying Jiang; Guo-Ping Zhao; Shuang-Jiang Liu
Journal:  Appl Environ Microbiol       Date:  2009-09-04       Impact factor: 4.792

7.  Description of Comamonas aquatica comb. nov. and Comamonas kerstersii sp. nov. for two subgroups of Comamonas terrigena and emended description of Comamonas terrigena.

Authors:  Georges Wauters; Thierry De Baere; Anne Willems; Enevold Falsen; Mario Vaneechoutte
Journal:  Int J Syst Evol Microbiol       Date:  2003-05       Impact factor: 2.747

8.  The Universal Protein Resource (UniProt) in 2010.

Authors: 
Journal:  Nucleic Acids Res       Date:  2009-10-20       Impact factor: 16.971

9.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Authors:  Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiaoqian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak-Wah Lam; Jun Wang
Journal:  Gigascience       Date:  2012-12-27       Impact factor: 6.524

10.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

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