Skip to main content


  • Open Access

Genome sequence of the Wenxinia marina type strain (DSM 24838T), a representative of the Roseobacter group isolated from oilfield sediments

  • 1, 2,
  • 3,
  • 4,
  • 4,
  • 3,
  • 3,
  • 4,
  • 5,
  • 4,
  • 3,
  • 4 and
  • 3
Standards in Genomic Sciences20149:9030855

  • Published:


Wenxinia marina Ying et al. 2007 is the type species of the genus Wenxinia, a representative of the Roseobacter group within the alphaproteobacterial family Rhodobacteraceae, isolated from oilfield sediments of the South China Sea. This family was shown to harbor the most abundant bacteria especially from coastal and polar waters, but was also found in microbial mats, sediments and attached to different kind of surfaces.

Here we describe the features of W. marina strain HY34T together with the genome sequence and annotation of strain DSM 24838T and novel aspects of its phenotype. The 4,181,754 bp containing genome sequence encodes 4,047 protein-coding genes and 59 RNA genes. The genome of W. marina DSM 24838T was sequenced as part of the activities of the Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes (KMG) project funded by the DoE and the Transregional Collaborative Research Centre 51 (TRR51) funded by the German Research Foundation (DFG).


  • aerobic
  • heterotrophic
  • rod-shaped
  • quorum sensing
  • autoinducer
  • prophage-like structures
  • Roseobacter group
  • Rhodobacteraceae
  • Alphaproteobacteria


Strain HY34T (= DSM 24838T = CGMCC 1.6105T = JCM 14017T) is the type strain of Wenxinia marina in the monospecific genus Wenxinia [1,2], which belongs to the widely distributed marine Roseobacter group [3]. The strain was isolated from sediments of the Xijiang oilfield located in the South China Sea (China) [1]. The genus Wenxinia was named after Professor Wen-Xin Chen, a Chinese pioneer in soil microbiology. The species epithet marina refers to the Latin adjective marina (‘of or belonging to the sea’) [1,2]. Current PubMed records do not indicate any follow-up research with strain HY34T after the initial description of W. marina [1].

In this study we analyzed the genome sequence of W. marina DSM 24838T. We present a description of the genome sequencing and annotation and present a summary classification together with a set of features for strain HY34T, including novel aspects of its phenotype.

Classifications and features

16S rRNA gene analysis

Figure 1 shows the phylogenetic neighborhood of W. marina in a 16S rRNA gene based tree. The sequences of the two identical 16S rRNA gene copies in the genome, differ by three nucleotides from the previously published 16S rRNA gene sequence (DQ640643).
Figure 1.
Figure 1.

Phylogenetic tree highlighting the position of W. marina relative to the type strains of the neighboring genera Citreicella and Rubellimicrobium. The tree was inferred from 1,381 aligned characters of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion as previously described [4]. The branches are scaled in terms of the expected number of substitutions per site. Numbers adjacent to the branches are support values from 1,000 ML bootstrap replicates (left) and from 1,000 maximum-parsimony bootstrap replicates (right) if larger than 60% [4]. Lineages with type strain genome sequencing projects registered in GOLD [5] are labeled with one asterisk, those also listed as ‘Complete and Published’ with two asterisks [6].

A representative genomic 16S rRNA gene sequence of W. marina DSM 24838T was compared with the Greengenes database for determining the weighted relative frequencies of taxa and (truncated) keywords as previously described [4]. The most frequently occurring genera were Ruegeria (41.6%), Paracoccus (31.0%), Oceanicola (14.0%), Silicibacter (5.0%) and Loktanella (3.3%) (60 hits in total). Among all other species, the one yielding the highest score was Oceanicola granulosus (AAOT01000021), which corresponded to an identity of 94.7% and an HSP coverage of 99.6%. (Note that the Greengenes database uses the INSDC (= EMBL/NCBI/DDBJ) annotation, which is not an authoritative source for nomenclature or classification.) The highest-scoring environmental sequence was DQ640643 (Greengenes short name ‘Rhodobacteraceae South China Sea oil field sediment isolate HY34 Rhodobacteraceae str. HY34’), which showed an identity of 99.8% and an HSP coverage of 100.0%. The most frequently occurring keywords within the labels of all environmental samples that yielded hits were ‘microbi’ (4.3%), ‘coral’ (3.6%), ‘sea’ (2.6%), ‘diseas’ (2.5%) and ‘china’ (2.4%) (190 hits in total). The most frequently occurring keywords within the labels of those environmental samples which yielded hits of a higher score than the highest scoring species were ‘antecubit, fossa, skin’ (13.9%) and ‘china, field, oil, rhodobacteracea, sea, sediment, south’ (8.3%) (3 hits in total). Some of these keywords fit well to the isolation site of strain HY34T [1].

Morphology and physiology

Cells of strain HY34T form Gram-negative, ovoid or short rods (0.7–0.8 µm in width and 1.3 µm in length) [Figure 2]. Motility and sporulation were not observed. Cells are strictly aerobic and display a heterotrophic lifestyle. When cultured on Marine Agar 2216 colonies with a weak pink color became visible, but bacteriochlorophyll a was not detected. The strain grows in a temperature range of 15–42°C with an optimum at 34–38°C. NaCl is required for growth (0.5–9%) with an optimum salt concentration at 1–4%. Further, the strain grows in a range of pH 6.5–8.5 with an optimum pH of 7.5–8.0. The strain is oxidase- and catalase-positive. Nitrate is reduced to nitrite. Indole and H2S are not produced. Cells hydrolyze urea and Tween 20, and a weak hydrolysis of Tween 40 and Tween 80 was also detected. The strain does not hydrolyze agar, casein, starch, DNA or CM-cellulose. Strain HY34T accumulates polyhydroxyalkanoates in its cells. Tests for arginine dehydrolase and lecithinase were negative. Further, cells utilize sucrose, lactose, galactose, maltose, melezitose, L-rhamnose, L-fucose, trehalose, cellobiose, gluconate, lactic acid, malate, L-glutamic acid. The strain utilizes D-melibiose, inulin, methyl α-D-glucoside, glycerol, sorbitol, butanol, pyruvate, formic acid, L-alanine and L-proline weakly. Utilization of D-raffinose, mannitol, L-sorbose, dulcitol, adonitol, myo-inositol, methanol, ethanol, citrate, malonate, butyric acid and caprate acid was not detected. Cells produce acid from D-xylose, cellobiose, lactose, L-rhamnose, L-arabinose, D-raffinose, and weakly from sucrose, maltose, mannose, trehalose, and ribose. Strong activities for esterase (C8) and α- and β-glucosidases were detected, as well as weak activities for alkaline phosphatase, leucine arylamidase, valine arylamidase and naphthol-AS-BI-phosphohydrolase. No activity was found for acid phosphatase, N-acetyl-β-cysteine arylamidase, glucosamidase, α- and β-galactosidase, α-mannosidase, α-chrymotrypsin, β-glucuronidase, α-fucosidase and lipase (C14). Cells of strain HY34T are found to be resistant to norfloxacin, tetracycline and gentamicin as well as sensitive to neomycin, polymyxin B, streptomycin, ampicillin, carbenicillin, vancomycin, ciprofloxacin, rifampicin, chloramphenicol, benzylpenicillin, kanamycin, and erythromycin (all data from [1] and presented in Table 1).
Figure 2.
Figure 2.

Phase contrast micrograph of W. marina DSM 24838T.

Table 1.

Classification and general features of W. marina HY34T according to the MIGS recommendations [41] (published by the Genomic Standards Consortium [42]).




Evidence code


Current classification

Domain Bacteria

TAS [43]


Phylum Proteobacteria

TAS [44]


Class Alphaproteobacteria

TAS [45,46]


Order Rhodobacterales

TAS [46,47]


Family Rhodobacteraceae

TAS [48]


Genus Wenxinia

TAS [1]


Species Wenxinia marina

TAS [1]


Strain HY34T

TAS [1]


Gram stain


TAS [1]


Cell shape

ovoid or short rods

TAS [1]




TAS [1]




TAS [1]


Temperature range


TAS [1]


Optimum temperature


TAS [1]



0.5–9% (NaCl)

TAS [1]


Oxygen requirement


TAS [1]


Carbon source

Yeast extract, peptone

TAS [1]


Energy metabolism


TAS [1]



Oilfield sediment

TAS [1]


Biotic relationship

Free living

TAS [1]






Biosafety level


TAS [49]



Oilfield sediment

TAS [1]


Geographic location

Xijiang oilfield, South China Sea (China)

TAS [1]


Sample collection time

before 2007




Not reported




Not reported




100 m

TAS [1]



Not reported


Evidence codes - TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). Evidence codes are from of the Gene Ontology project [50].

The utilization of carbon compounds by W. marina DSM 24838T grown at 28°C was also determined for this study using Generation-III microplates in an OmniLog phenotyping device (BIOLOG Inc., Hayward, CA, USA) [7]. The microplates were inoculated with a cell suspension at a cell density of 95–96% turbidity and dye IF-A. Further additives were vitamin, micronutrient and sea-salt solutions, which had to be added for dealing with such marine bacteria [8]. The plates were sealed with parafilm to avoid a loss of fluid.

The exported measurement data were further analyzed with the opm package for R [9,10], using its facilities for statistically estimating parameters from the respiration curves such as the maximum height, and automatically translating these values into negative, ambiguous, and positive reactions. The reactions were recorded in three biological replicates.

On the Generation-III plates, the strain was positive for pH 6, 1% NaCl, 4% NaCl, 8% NaCl, D-galactose, 3-O-methyl-D-glucose, D-fucose, L-fucose, L-rhamnose, 1% sodium lactate, myoinositol, rifamycin SV, L-aspartic acid, L-glutamic acid, L-histidine, L-serine, D-glucuronic acid, quinic acid, L-lactic acid, citric acid, α-keto-glutaric acid, D-malic acid, L-malic acid, nalidixic acid, and sodium formate.

W. marina HY34T was negative for the following tests: dextrin, D-maltose, D-trehalose, D-cellobiose, β-gentiobiose, sucrose, D-turanose, stachyose, pH 5, D-raffinose, α-D-lactose, D-melibiose, β-methyl-D-galactoside, D-salicin, N-acetyl-D-glucosamine, N-acetyl-β-D-mannosamine, N-acetyl-D-galactosamine, N-acetyl-neuraminic acid, D-glucose, D-mannose, D-fructose, inosine, fusidic acid, D-serine, D-sorbitol, D-mannitol, D-arabitol, glycerol, D-glucose-6-phosphate, D-fructose-6-phosphate, D-aspartic acid, D-serine, troleandomycin, minocycline, gelatin, glycyl-L-proline, L-alanine, L-arginine, L-pyroglutamic acid, lincomycin, guanidine hydrochloride, niaproof, pectin, D-galacturonic acid, L-galactonic acid-γ-lactone, D-gluconic acid, glucuronamide, mucic acid, D-saccharic acid, vancomycin, tetrazolium violet, tetrazolium blue, phydroxy-phenylacetic acid, methyl pyruvate, D-lactic acid methyl ester, bromo-succinic acid, lithium chloride, potassium tellurite, tween 40, γ-amino-n-butyric acid, α-hydroxy-butyric acid, β-hydroxy-butyric acid, α-keto-butyric acid, acetoacetic acid, propionic acid, acetic acid, aztreonam, butyric acid and sodium bromate.

The phenotype microarray results fit to those reported by Ying and colleagues [1] in large part. Only the utilization of lactose and D-trehalose could not be confirmed by respiration measurements under the given conditions. Interestingly, W. marina DSM 24838T showed a varying phenotype both in growth measurement [1] and in the respiration curves among replicates. Ying and colleagues reported eleven substrates yielding “weak” results, which complicates the exact comparison of substrate utilization [1]. In contrast to Ying and colleagues, the OmniLog measurements gave positive reactions for L-histidine and myoinositol. This may be due respiratory measurements being more sensitive than growth measurements [11].


The principal cellular fatty acids of strain HY34T are C18:1 ω7c (57.1%), C16:0 (16.5%), 11-methyl C18:1 ω7c (5.4%), C18:0 (3.9%), C14:0 (3.7%), C15:1 iso G and C15:1 iso I (3.4%), summed feature 3 C16:1 ω7c and/or C15:0 2-OH (1.9%), C12:0 (1.6%) and C13:0 2-OH (1.2%). The major respiratory lipoquinone was ubiquinone 10, which is a well-known characteristic of the Alphaproteobacteria. Phosphatidylglycerol and phosphatidylcholine were identified as the major polar lipids. In contrast to other representatives of the Roseobacter group such as Marinovum algicola FF3T (DSM 10251T) [12,13], strain HY34T also contains an unidentified glycolipid called L1, which shows similarities to an unidentified phospholipid of Ruegeria atlantica DSM 5828T (all data from [1]).

Genome sequencing and annotation

Genome project history

This strain was twice selected for genome sequencing on the basis of its phylogenetic position [14]. First as part of the DFG funded project “Ecology, Physiology and Molecular Biology of the Roseobacter clade: Towards a Systems Biology Understanding of a Globally Important Clade of Marine Bacteria” and later as part of the “Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes (KMG) project” [15], a follow-up of the GEBA project [16], which aims in increasing the sequencing coverage of key reference microbial genomes. The strain was independently sequenced from the same source of DNA and produced draft sequences that were finally joined. The project information can found in the Genomes OnLine Database [5] and the Integrated Microbial Genomes database (IMG) [17]. A summary of the project information is shown in Table 2.
Table 2.

Genome sequencing project information





Finishing quality

Non-contiguous finished


Libraries used

Two genomic libraries: one Illumina PE library (539 bp insert size), one 454 PE library (3kb insert size)


Sequencing platforms

Illumina GA IIx, Illumina MiSeq, 454 GS-FLX Titanium


Sequencing coverage

356 ×



velvet version 1.1.36, Newbler version 2.3, consed 20.0


Gene calling method

Prodigal 1.4


GenBank Date of Release






NCBI project ID



2519899719 (8 scaffold version)


Database: IMG

and 2515154190 (41 scaffold version)


Source material identifier

DSM 24838T


Project relevance

Tree of Life, biodiversity

Growth conditions and DNA isolation

A culture of W. marina DSM 24838T was grown aerobically in DSMZ medium 514 [18] at 30°C. Genomic DNA was isolated using Jetflex Genomic DNA Purification Kit (GENOMED 600100) following the standard protocol provided by the manufacturer but modified by an incubation time of 60 min, incubation on ice overnight on a shaker, the use of an additional 50 µl proteinase K, and the addition of 100 µl protein precipitation buffer. The DNA is available from the Leibniz-Institute DSMZ through the DNA Bank Network [19].

Genome sequencing and assembly

The genome sequencing under the DFG funded part of the project was perform as previously described for Rubellimicrobium thermophilum [6], with 3.3 million reads delivered by the first run on an Illumina GAII platform. To increase the sequencing depth, a second Ilumina run was performed, providing another 8.1 million reads. The first draft assembly from 9,139,639 filtered reads (median read length 122 nt) resulted in more than 300 contigs. To gain information on the contig arrangement an additional 454 run was performed. The paired-end pyrosequencing jumping library resulted in 158,608 reads, with an average read length of 450 bp. Both draft assemblies (Illumina and 454 sequences) were fractionated into artificial Sanger reads of 1,000 nt in length plus 75 bp overlap on each site. These artificial reads served as an input for the phred/phrap/consed package [20]. In combination the assembly resulted in 265 contigs in 26 scaffolds.

The genome sequencing under the DoE funded part of the project was performed as previously described for Halomonas zhanjiangensis [21] also using the Illumina technology [22]. An Illumina Standard shotgun library was constructed and sequenced using the Illumina HiSeq 2000 platform. All general aspects of library construction and sequencing performed at the JGI can be found at [23]. The final assembly for this part of the project resulted in 41 scaffolds covering 4,175,892 bp (ARAY00000000).

The draft sequence from the first (DFG-funded) part was mapped to the permanent draft version ARAY00000000 using minimus2 [24]. By manual editing the number of contigs was reduced to 22 in 8 scaffolds (AONG00000000). The combined sequences provided a 356 × coverage of the genome.

Genome annotation

Genes were identified using Prodigal [25] as part of the JGI genome annotation pipeline. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Identifications of RNA genes were carried out by using HMMER 3.0rc1 [26] (rRNAs) and tRNAscan-SE 1.23 (tRNAs) [27]. Other non-coding genes were predicted using INFERNAL 1.0.2 [28]. Additional gene prediction analysis and functional annotation was performed within the Integrated Microbial Genomes - Expert Review (IMG-ER) platform [29] CRISPR elements were detected using CRT [30] and PILER-CR [51].

Genome properties

The genome statistics are provided in Table 3 and Figure 3. The genome of DSM 24838T has a total length of 4,181,754 bp and a G+C content of 70.5%. Of the 4,106 genes predicted, 4,047 were protein-coding genes, and 59 RNAs. The majority of the protein-coding genes (80.4%) were assigned a putative function while the remaining ones were annotated as hypothetical proteins. The distribution of genes into COGs functional categories is presented in Table 4.
Figure 3.
Figure 3.

Graphical map of the largest scaffold. From bottom to the top: Genes on forward strand (colored by COG categories), Genes on reverse strand (colored by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content (black), GC skew (purple/olive).

Table 3.

Genome Statistics



% of Total

Genome size (bp)



DNA coding region (bp)



DNA G+C content (bp)



Number of scaffolds



Total genes



RNA genes



rRNA operons



tRNA genes



Protein-coding genes



Genes with function prediction (proteins)



Genes in paralog clusters



Genes assigned to COGs



Genes assigned Pfam domains



Genes with signal peptides



Genes with transmembrane helices



CRISPR repeats


Table 4.

Number of genes associated with the general COG functional categories








Translation, ribosomal structure and biogenesis




RNA processing and modification








Replication, recombination and repair




Chromatin structure and dynamics




Cell cycle control, cell division, chromosome partitioning




Nuclear structure




Defense mechanisms




Signal transduction mechanisms




Cell wall/membrane/envelope biogenesis




Cell motility








Extracellular structures




Intracellular trafficking and secretion, and vesicular transport




Posttranslational modification, protein turnover, chaperones




Energy production and conversion




Carbohydrate transport and metabolism




Amino acid transport and metabolism




Nucleotide transport and metabolism




Coenzyme transport and metabolism




Lipid transport and metabolism




Inorganic ion transport and metabolism




Secondary metabolites biosynthesis, transport and catabolism




General function prediction only




Function unknown




Not in COGs

Insights into the genome


Genome sequencing of W. marina DSM 24838T reveals the presence of one plasmid with a size of about 101 kb. The plasmid contains a characteristic replicase of the RepA-I type [31], but the typical module structure containing the replicase as well as a parAB partitioning operon was not found. A single parA gene (wenxma_04096) is located adjacent to the replicase and an additional parAB operon (wenxma_04090 to wenxma_04091) is located downstream of repA-I. The plasmid harbors neither a plasmid stability module nor a type-IV secretion system.

The plasmid contains a large RTX-toxin (wenxma_04058) and is dominated by genes that are required for polysaccharide biosynthesis. It includes all four genes of the rhamnose pathway [32], but the rmlA gene for the glucose-1-phosphate thymidylyltransferase (EC; wenxma_04097) is separated from the remaining clustered genes (rmlC, rmlB, rmlD; wenxma_04094 to wenxma_04092). The extrachromosomal replicon may be involved in surface attachment. Comparable RepA-I type plasmids with a similar genetic composition are also present in other Rhodobacterales including several Phaeobacter strains [33].


Many bacteria encode genome-inserted gene sequences, which are associated with prophages, one of the major reason for horizontal gene transfer and bacterial diversity [34,35]. The genome sequence of W. marina DSM 24838T was found to encode several prophage-associated gene sequences (e.g., wenxma_00641 to wenxma_00646, wenxma_00930 to wenxma_00936, wenxma_01496 to wenxma_01510).

Quorum Sensing

Analysis of the DSM 24838T genome sequence revealed the presence of gene sequences associated to quorum sensing (QS) [3638]. QS is a bacterial communication system via chemical signal molecules called autoinducers, which are produced and released by QS bacteria to coordinate behaviors with respect to their population density [38]. Interestingly and surprisingly, QS induces also individual morphologies and cell division modes, which was recently shown for D. shibae DFL-12, another representative of the Roseobacter group [39,40]. Regarding to QS the genome of DSM 24838T codes for, e.g., two N-acyl-L-homoserine-lactone synthetases (LuxI homologues, wenxma_01086 and wenxma_03269) and two genes possibly encoding QS-involved response and transcriptional regulators (LuxR homologues, wenxma_01085 and wenxma_03267).

Morphological traits

With regard to morphological traits, several genes associated with the putative production, biosynthesis and export of exopopolysaccharides (wenxma_00281, wenxma_02363 and wenxma_02364, wenxma_03720 and wenxma_03721) and capsule polysaccharides (wenxma_00822, wenxma_02023 to wenxma_02025, wenxma_02704 and wenxma_02705, wenxma_04069) were detected.

Interestingly, the genome of DSM 24838T was found to encode several gene sequences putatively involved in pili formation (e.g., wenxma_01776 to wenxma_01787, wenxma_03426 to wenxma_03435) and chemotaxis (e.g., wenxma_3823 to wenxma_03830), although the strain was described as non-motile [1]. Hence, it could be that the formed pili play a role for adhesion or switching-type motility on solid surfaces.

Further, according to its genome strain DSM 24838T accumulates polyhydroxyalkanoates as storage compounds (wenxma_02601 to wenxma_02604), which is in accordance with the findings of Ying and colleagues for strain HY34T [1].



The authors would like to gratefully acknowledge the assistance of Iljana Schröder for growing W. marina cultures and Meike Döppner for DNA extraction and quality control (both at the Leibniz-Institute DSMZ). This work was performed under the auspices of the German Research Foundation (DFG) Transregio-SFB51 Roseobacter grant and the US Department of Energy’s Office of Science, Biological and Environmental Research Program and by the University of California, Lawrence Berkeley National Laboratory under contract No. DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344.

Authors’ Affiliations

UPMC Univ Paris 06, USR 3579, LBBM, Observatoire Océanologique, Sorbonne Universités, Banyuls/Mer, France
USR 3579, LBBM, Observatoire Océanologique, CNRS, Banyuls-sur-Mer, France
Leibniz Institute, DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
DOE Joint Genome Institute, Walnut Creek, California, USA
Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA


  1. Ying JY, Wang BJ, Dai X, Yang SS, Liu SJ, Liu ZP. Wenxinia marina gen. nov., a novel member of the Roseobacter clade isolated from oilfield sediments of the South China Sea. Int J Syst Evol Microbiol 2007; 57:1711–1716. PubMed ArticlePubMedGoogle Scholar
  2. Euzéby JP. List of prokaryotic names with standing in nomenclature.
  3. Buchan A, González JM, Moran MA. Overview of the marine Roseobacter lineage. Appl Environ Microbiol 2005; 71:5665–5677. PubMed CentralView ArticlePubMedGoogle Scholar
  4. Göker M, Cleland D, Saunders E, Lapidus A, Nolan M, Lucas S, Hammon N, Deshpande S, Cheng JF, Tapia R, et al. Complete genome sequence of Isosphaera pallida type strain (IS1 BT). Stand Genomic Sci 2011; 4:63–71. PubMed CentralView ArticlePubMedGoogle Scholar
  5. Pagani I, Liolios K, Jansson J, Chen IM, Smirnova T, Nosrat B, Markowitz VM, Kyrpides NC. The Genomes OnLine Database (GOLD) v.4: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res 2012; 40:D571–D579. PubMed CentralView ArticlePubMedGoogle Scholar
  6. Fiebig A, Riedel T, Gronow S, Petersen J, Klenk HP, Göker M. Genome sequence of the reddish-pigmented Rubellimicrobium thermophilum type strain (DSM 16684T), a member of the Roseobacter clade. Stand Genomic Sci 2013; 8:480–490. PubMed CentralView ArticlePubMedGoogle Scholar
  7. Bochner BR. Global phenotypic characterization of bacteria. FEMS Microbiol Rev 2009; 33:191–205. PubMed CentralView ArticlePubMedGoogle Scholar
  8. Buddruhs N, Pradella S, Göker M, Päuker O, Michael V, Pukall R, Spröer C, Schumann P, Petersen J, Brinkhoff T. Molecular and phenotypic analyses reveal the non-identity of the Phaeobacter gallaeciensis type strain deposits CIP 105210T and DSM 17395. Int J Syst Evol Microbiol 2013; 63:4340–4349. PubMed ArticlePubMedGoogle Scholar
  9. Vaas LA, Sikorski J, Hofner B, Fiebig A, Buddruhs N, Klenk HP, Göker M. opm: an R package for analyzing Omnilog(R) phenotype microarray data. Bioinformatics 2013; 29:1823–1824. Med ArticlePubMedGoogle Scholar
  10. Vaas LA, Sikorski J, Michael V, Göker M, Klenk HP. Visualization and curve-parameter estimation strategies for efficient exploration of phenotype microarray kinetics. PLoS ONE 2012; 7:e34846. PubMed CentralView ArticlePubMedGoogle Scholar
  11. Vaas LAI, Marheine M, Sikorski J, Göker M, Schumacher M. Impacts of pr-10a overexpression at the molecular and the phenotypic level. Int J Mol Sci 2013; 14:15141–15166; CentralView ArticlePubMedGoogle Scholar
  12. Lafay B, Ruimy R, de Traubenberg CR, Breittmayer V, Gauthier MJ, Christen R. Roseobacter algicola sp. nov., a new marine bacterium isolated from the phycosphere of the toxin-producing dinoflagellate Prorocentrum lima. Int J Syst Bacteriol 1995; 45:290–296. PubMed ArticlePubMedGoogle Scholar
  13. Martens T, Heidorn T, Pukall R, Simon M, Tindall BJ, Brinkhoff T. Reclassification of Roseobacter gallaeciensis Ruiz-Ponte et al. 1998 as Phaeobacter gallaeciensis gen. nov., comb. nov., description of Phaeobacter inhibens sp. nov., antibiotic-producing members of the Roseobacter clade, reclassification of Ruegeria algicola (Lafay et al. 1995) Uchino et al. 1998 as Marinovum algicola gen. nov., comb. nov., and emended descriptions of the genera Roseobacter, Ruegeria and Leisingera. Int J Syst Evol Microbiol 2006; 56:1293–1304. PubMed ArticlePubMedGoogle Scholar
  14. Göker M, Klenk HP. Phylogeny-driven target selection for large-scale genome sequencing (and other) projects. Stand Genomic Sci 2013; 8:360–374. PubMed CentralView ArticlePubMedGoogle Scholar
  15. Kyrpides NC, Woyke T, Eisen JA, Garrity G, Lilburn TG, Beck BJ, Whitman WB, Hugenholz P, Klenk HP. Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes (KMG-I) project. Stand Genomic Sci 2013; 9:628–634. ArticleGoogle Scholar
  16. Wu D, Hugenholtz P, Mavromatis K, Pukall R, Dalin E, Ivanova NN, Kunin V, Goodwin L, Wu M, Tindall BJ, et al. A phylogeny-driven Genomic Encyclopaedia of Bacteria and Archaea. Nature 2009; 462:1056–1060. PubMed CentralView ArticlePubMedGoogle Scholar
  17. Markowitz VM, Chen IM, Palaniappan K, Chu K, Szeto E, Grechkin Y, Ratner A, Jacob B, Huang J, Williams P, et al. IMG: the integrated microbial genomes database and comparative analysis system. Nucleic Acids Res 2012; 40:D115–D122. PubMed CentralView ArticlePubMedGoogle Scholar
  18. List of growth media used at the DSMZ:
  19. Gemeinholzer B, Dröge G, Zetzsche H, Haszprunar G, Klenk HP, Güntsch AM, Berendsohn WG, Wägele JW. The DNA Bank Network: the start from a German initiative. Biopreserv Biobank 2011; 9:51–55. ArticlePubMedGoogle Scholar
  20. Gordon D, Abajian C, Green P. Consed: a graphical tool for sequence finishing. Genome Res 1998; 8:195–202. Med ArticlePubMedGoogle Scholar
  21. Zhou Y, Li R, Gao XY, Lapidus A, Han J, Haynes M, Lobos E, Huntemann M, Pati A, Ivanova NN, et al. High quality draft genome sequence of the slightly halophilic bacterium Halomonas zhanjiangensis type strain JSM 078169T (DSM 21076T) from a sea urchin in southern China. Stand Genomic Sci (under review).Google Scholar
  22. Bennett S. Solexa Ltd. Pharmacogenomics 2004; 5:433–438. Med ArticlePubMedGoogle Scholar
  23. The DOE Joint Genome Institute.
  24. Sommer DD, Delcher AL, Salzberg SL, Pop M. Minimus: a fast, lightweight genome assembler. BMC Bioinformatics 2007; 8:64. PubMed CentralView ArticlePubMedGoogle Scholar
  25. Hyatt D, Chen GL, LoCascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 2010; 11:119. PubMed CentralView ArticlePubMedGoogle Scholar
  26. Finn DR, Clements J, Eddy SR. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. Web Server Issue 2011; 39:W29–W37.PubMed CentralView ArticlePubMedGoogle Scholar
  27. Lowe TM, Eddy SR. tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence. Nucleic Acids Res 1997; 25:955–964. Med CentralView ArticlePubMedGoogle Scholar
  28. Nawrocki EP, Kolbe DL, Eddy SR. Infernal 1.0: Inference of RNA alignments. Bioinformatics 2009; 25:1335–1337. PubMed CentralView ArticlePubMedGoogle Scholar
  29. Markowitz VM, Ivanova NN, Chen IMA, Chu K, Kyrpides NC. IMG ER: a system for microbial genome annotation expert review and curation. Bioinformatics 2009; 25:2271–2278. PubMed ArticlePubMedGoogle Scholar
  30. Bland C, Ramsey TL, Sabree F, Lowe M, Brown K, Kyrpides NC, Hugenholtz P. CRISPR recognition tool (CRT): a tool for automatic detection of clustered regularly interspaced palindromic repeats. BMC Bioinformatics 2007; 8:209. Med CentralView ArticlePubMedGoogle Scholar
  31. Petersen J. Phylogeny and compatibility: plasmid classification in the genomics era. Arch Microbiol 2011; 193:313–321. PubMedPubMedGoogle Scholar
  32. Giraud MF, Naismith JH. The rhamnose pathway. Curr Opin Struct Biol 2000; 10:687–696. PubMed ArticlePubMedGoogle Scholar
  33. Thole S, Kalhoefer D, Voget S, Berger M, Engelhardt T, Liesegang H, Wollherr A, Kjelleberg S, Daniel R, Simon M, et al. Phaeobacter gallaeciensis genomes from globally opposite locations reveal high similarity of adaption to surface life. ISME J 2012; 6:2229–2244. PubMed CentralView ArticlePubMedGoogle Scholar
  34. Canchaya C, Proux C, Fournous G, Bruttin A. Prophage genomics. Microbiol Mol Biol Rev 2003; 67:238–276. PubMed CentralView ArticlePubMedGoogle Scholar
  35. Paul JH. Prophages in marine bacteria: dangerous molecular bombs or the key to survival in the seas? ISME J 2008; 2:579–589. PubMed ArticlePubMedGoogle Scholar
  36. Bassler BL. How bacteria talk to each other: regulation of gene expression by quorum sensing. Curr Opin Microbiol 1999; 2:582–587. PubMed ArticlePubMedGoogle Scholar
  37. Henke JM, Bassler BL. Bacterial social engagements. Trends Cell Biol 2004; 14:648–656. PubMed ArticlePubMedGoogle Scholar
  38. Waters CM, Bassler BL. Quorum Sensing: Cell-to-Cell Communication in Bacteria. Annu Rev Cell Dev Biol 2005; 21:319–246. PubMed ArticlePubMedGoogle Scholar
  39. Wagner-Döbler I, Ballhausen B, Berger M, Brinkhoff H, Buchholz I, Bunk B, Cypionka H, Daniel R, Gerdts G, Hahnke S, et al. The complete genome sequence of the algal symbiont Dinoroseobacter shibae: a hitchhiker’s guide to life in the sea. ISME J 2010; 4:61–77. PubMed ArticlePubMedGoogle Scholar
  40. Patzelt D, Wang H, Buchholz I, Rohde M, Gröbe L, Pradella S, Neumann A, Schulz S, Heyber S, Münch K, et al. You are what you talk: quorum sensing induces individual morphologies and cell division modes in Dinoroseobacter shibae. ISME J 2013; 7:2274–2286. PubMed CentralView ArticlePubMedGoogle Scholar
  41. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV, et al. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol 2008; 26:541–547. PubMed CentralView ArticlePubMedGoogle Scholar
  42. Field D, Amaral-Zettler L, Cochrane G, Cole JR, Dawyndt P, Garrity GM, Gilbert J, Glöckner FO, Hirschman L, Karsch-Mzrachi I, et al. The Genomic Standards Consortium. PLoS Biol 2011; 9:e1001088. PubMed CentralView ArticlePubMedGoogle Scholar
  43. Woese CR, Kandler O, Weelis ML. Towards a natural system of organisms. Proposal for the domains Archaea, Bacteria and Eucarya. Proc Natl Acad Sci USA 1990; 87:4576–4579. Med CentralView ArticlePubMedGoogle Scholar
  44. Garrity GM, Bell JA, Lilburn T. Phylum XIV. Proteobacteria phyl nov. In: Brenner DJ, Krieg NR, Stanley JT, Garrity GM (eds), Bergey’s Manual of Sytematic Bacteriology, second edition. Vol. 2 (The Proteobacteria), part B (The Gammaproteobacteria), Springer, New York, 2005, p. 1.View ArticleGoogle Scholar
  45. Garrity GM, Bell JA, Lilburn T. Class I. Alphapro teobacteria class. nov. In: Brenner DJ, Krieg NR, Stanley JT, Garrity GM (eds), Bergey’s Manual of Sytematic Bacteriology, second edition. Vol. 2 (The Proteobacteria), part C (The Alpha-, Beta-, Delta-, and Epsilonproteobacteria), Springer, New York, 2005, p. 1.View ArticleGoogle Scholar
  46. Validation List No. 107. List of new names and new combinations previously effectively, but not validly, published. Int J Syst Evol Microbiol 2006; 56:1–6. Med
  47. Garrity GM, Bell JA, Lilburn T. Order III. Rhodobacterales ord. nov. In: Brenner DJ, Krieg NR, Staley JT, Garrity GM (eds), Bergey’s Manual of Systematic Bacteriology, second edition. vol. 2 (The Proteobacteria), part C (The Alpha-, Beta-, Delta-, and Epsilonproteobacteria), Springer, New York, 2005, p. 161.Google Scholar
  48. Garrity GM, Bell JA, Lilburn T. Family I. Rhodobacteraceae fam. nov. In: Brenner DJ, Krieg NR, Staley JT, Garrity GM (eds), Bergey’s Manual of Systematic Bacteriology, second edition. vol. 2 (The Proteobacteria), part C (The Alpha-, Beta-, Delta-, and Epsilonproteobacteria), Springer, New York, 2005, p. 161.Google Scholar
  49. BAuA. Classification of Bacteria and Archaea in risk groups. TRBA 2010; 466:93.Google Scholar
  50. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000; 25:25–29. PubMed CentralView ArticlePubMedGoogle Scholar
  51. PILER Genomic repeat analysis software. 2009.Google Scholar


© The Author(s) 2014