Skip to main content

Draft genomic sequence of Nereida ignava CECT 5292T, a marine bacterium of the family Rhodobacteraceae


Nereida ignava strain 2SM4T (= CECT 5292T = DSM 16309T = CIP 108404T = CCUG 49433T) is a marine bacterium belonging to the Roseobacter group of the family Rhodobacteraceae within the class Alphaproteobacteria. The strain was isolated from sea water surrounding cultivated oysters 2–3 miles off the Mediterranean coast near Valencia (Spain) and was phylogenetically related to uncultured clones of gall symbiont bacteria of some species of Prionitis alga. Here we describe the genome sequence and annotation of this organism, the type strain of the single species of this genus. The genome comprised 2,888,349 bp, 2,872 protein-coding genes and 52 RNA genes. The annotation revealed the capacity to produce bacteriocins, vitamins and auxins. Besides, it contained sulfur cycling related genes.


Nereida is a genus of the Roseobacter group, within the family Rhodobacteraceae , order Rhodobacterales , Class Alphaproteobacteria , so far containing only one species, Nereida ignava [1]. At the time of writing there are 197 genome assemblies from members of the family Rhodobacteraceae available at NCBI and only 52 of the 253 type strains within the family had a genome project, based on MEP. Strain 2SM4T, isolated from Mediterranean coast, served to describe the species so it is the type strain.

Members of the Roseobacter group are bacteria linked to a wide variety of marine environments and types of metabolism, playing an important role in carbon, sulfur and nitrogen cycling [2]. Some bacteria belonging to this group were described as epiphytes or symbionts of marine organisms. Genome analysis and culture experiments have revealed mechanisms by which members of this group may associate and interact with phytoplankton and other eukaryotes [35].

The 16S rRNA gene sequence phylogeny placed this strain in the same cluster as uncultured gall symbionts of the red algal genus Prionitis [1]. Gall formation in this alga was reported to be induced by bacteria phylogenetically related to the Roseobacter group [6, 7]. It is known that this relationship is species specific and coevolution exists between host and bacteria [8]. Currently, the established species more closely related to N. ignava 2SM4T are Pseudooctadecabacter jejudonensis and Lentibacter algarum with which it shares 95.88 % and 95.61 % 16S rRNA gene sequence similarity, respectively (EzTaxon [9]).

Here, we present a description of the draft genome sequence and annotation of N. ignava 2SM4T type strain. The genomic insights indicate the genetic potential for the synthesis of vitamins, auxin and secondary metabolite production, bacteriochlorophyll a, photosynthetic reaction centers, photorespiration and utilization of algae derived compounds, which may explain the close relationship to the gall symbiont bacteria.

Organism information

Classification and features

N. ignava 2SM4T was obtained from Mediterranean Sea water 2–3 miles off the Spanish coast near Valencia, in the surrounding of cultivated oysters [1]. It is a Gram-negative, slightly halophilic, non-pigmented, strictly aerobic, non-motile, mesophilic, chemo-organotrophic bacterium (Table 1). Cells are coccoid to elongate rods, most of them are tear-shaped and show polar budding (Fig. 1). They measure 0.2–0.3 μm in width by 1–3 μm in length. Mesophilic. Neither gas vesicles nor poly-β-hydroxybutyrate accumulation has been observed. Does not ferment carbohydrates and is unable to reduce nitrate to nitrite or N2 [1].

Table 1 Classification and general features of Nereida ignava strain 2SM4Tin accordance with the MIGS recommendations [38] published by the Genome Standards Consortium [39]
Fig. 1
figure 1

Scanning electron micrograph showing the characteristic variations in cell morphology of N. ignava 2SM4T, from coccoid cells to elongated rods, including many tear-shaped cells

Comparative analysis of the 16S rRNA gene sequence to species belonging to the Roseobacter group (Fig. 2) indicates that N. ignava 2SM4T most related bacterium is L. algarum ZXM100T with which it forms a cluster. Searching for 16S rRNA gene sequence similarities in EzTaxon [9], 95.88 % similarity was found with P. jejudonensis SSK2-1Tand 95.61 % with L. algarum ZXM100T.

Fig. 2
figure 2

Phylogenetic tree highlighting the position of N. ignava 2SM4T (bold) relative to other strains of the Roseobacter group. SSU rRNA gene sequences were aligned with version 121 of the ‘All-Species Living Tree’ project SSU rRNA gene database [35] using the ARB software package [36]. The phylogeny was constructed from nearly full-length gene sequences using the neighbor-joining method [37] within ARB, filtered to exclude alignment positions that contained gaps or ambiguous nucleotides in any of the sequences included in the tree. Nodes with bootstrap support above 70 % are indicated. An asterisk stands for strains (including equivalent designations) that have a genome sequence in the NCBI Assemble database. A variety of Archaea were used as outgroups

Chemotaxonomic data

The predominant fatty acids are C18:1ω7c (81.4 %), 18:0 (6.0 %) and 16:0 (5.0 %) followed by 11-methyl 18:1ω7c (3.3 %), 10:0 3-OH (1.9 %), 19 : 1ω6c or 19 : 0 cyclo (1.5 %) and 20:1ω7c (0.8 %) [1]. The fatty acid profile confirmed the affiliation to the Roseobacter group.

Genome sequencing information

Genome project history

N. ignava 2SM4T was selected for genome sequencing among a larger set of marine strains isolated and characterized by our research group during the last three decades, based on its phylogenetic position and its biological significance. The draft genome sequencing project was registered in the European Nucleotide Archive database under accession number ERP010009, together with the sequence read archives (ERR833218), and annotated contigs CVQV01000001-CVQV01000069. Table 2 presents the main project information and its compliance with MIGS version 2.0.

Table 2 Project information

Growth conditions and genomic DNA preparation

N. ignava 2SM4T was cultured in marine agar (MA; Difco) at 26 °C under aerobic conditions during three days. Genomic DNA was isolated using Real Pure Spin kit (Durviz) following the standard protocol recommended by the manufacturer. The integrity of the extracted DNA was checked by visualization in a 2.0 % agarose gel electrophoresis. Its purity and quantity was checked by measuring the absorbance at 260 and 280 nm with a spectrophotometer Nanodrop2000c (Thermo Scientific) and calculating the ratio A260/A280. A total of 10.6 μg of DNA were obtained.

Genome sequencing and assembly

The genome of N. ignava 2SM4T was sequenced at Central Service of Support to Experimental Research (SCSIE) of the University of Valencia (Valencia, Spain) using an Illumina Miseq technology with 2 x 250 paired-end reads. The sequencing experiment yielded 1,991,958 reads totaling 495,586,123 bases which accounts for an approximate 170x sequencing coverage. The Illumina reads were analyzed for quality control using FASTQC, a common quality control tool developed by Babraham Bioinformatics to check raw sequencing data, which is wrapped in Galaxy Orione Server [10]. After filtering, the remaining reads were assembled using MIRA v4.0 de novo assembler [11] incorporated as a tool in Galaxy Orione Server. The final draft assembly contained 69 contigs larger than 1,000 nucleotides and had a total size of 2,888,349 bp. An average 77x coverage depth was accomplished.

Genome annotation

The draft genome was annotated using Prokka [12], an open source software tool, within Galaxy Orione Server, and using RAST v2.0 (Rapid Annotation using Subsystem Technology) [13]. CRISPR repeats were examined by CRISPR Finder [14]. Signal peptides were searched using Signal P 4.1 Server [15]. Transmembrane helix domains were predicted through TMHMM server v.2.0 [16]. Protein coding genes were analyzed for COG functional annotation using WebMGA server [17]. Secondary metabolites were predicted using antiSMASH 2.0 [18]. Pfam domains were predicted using NCBI Batch CD-Search Tool [19] using default parameters.

Genome properties

The draft genome consists of 69 contigs containing 2,888,349 bp. The G + C content, determined by RAST, was 54 %. From a total of 2,924 genes predicted with Prokka, 2,872 were protein-coding genes and 52 were RNA genes (45 tRNA and 7 rRNA genes). 76.6 % protein coding genes were assigned to putative functions and 23.4 % remained as hypothetical proteins (Table 3). Among protein-coding genes, 48 % were assigned to subsystems using RAST. The distribution of genes into COG functional categories is shown in Table 4.

Table 3 Genome statistics (Prokka)
Table 4 Number of genes associated with general COG functional categories

Insights from the genome sequence

The genome of N. ignava 2SM4T is one of the smallest ones described to date among members of the Roseobacter group [20], but its size is in accordance with previous reports about its possible symbiotic character [21]. It harbors all the gene repertoire of the tricarboxylic acid cycle, Entner-Doudoroff route and the Pentose-Phosphate pathway. However the glycolysis pathway, lacking phosphofructokinase I, is incomplete. Similarly, the Glyoxylate cycle pathway is incomplete as isocitrate lyase is not annotated. Many serine cycle methylotrophs do not contain isocitrate lyase and transform Acetyl-CoA into glyoxylate via a route which implies butyryl-CoA and propionyl-CoA intermediates (coming from PHB degradation), ethylmalonyl CoA pathway [22]. This genome contains most of the genes acting in this route, including glycine hydroxymethyl transferase which introduces, into serine cycle, methylene tetrahydrofolate coming from methanol. The presence of these genes suggests N. ignava 2SM4T can use C1 and C2 compounds as carbon source.

Ammonium assimilation is possible thanks to the presence of genes involved in transport and assimilation such as amt, glnA, glnB, glnG, glnL, glnQ, glnM, gltB and gltD. A nas A gene coding for a nitrate transporter was predicted but no nitrate or nitrite reductases were found. Five genes involved in nitrogen fixation were annotated: fixK, coding for a nitrogen fixation regulatory protein, nifS, nifU coding for nitrogenase metallic centre biosynthesis, nif-H1, coding for a nitrogenase iron protein (nifH encodes nitrogenase reductase, one of the two components of nitrogenase) and ntrC gene, coding for NtrC protein, the regulator that switch on/off the nitrogen fixation through ammonium availability inside the cell; however, genes nifDK coding for nitrogenase were not found. This fact suggests some possible scenarios: a loss of the potential nitrogen fixation ability, a possible current event of gene gaining still uncompleted or the absence of the complete gene cluster due to the condition of draft genome. A ydjA coding putative NAD(P)H nitroreductase gene was predicted suggesting reduction of nitro group containing compounds. Reduced organic nitrogen compounds appear to be used, as many nitrogenated substances (taurine, betaine, aminoacids, urea) transporters and utilization genes were annotated. Reaffirming the findings of Chen (2012) [23], this genome presented two trimethylamine methyltransferase family protein genes, revealing the potential capability of using methylated amines as nitrogen source.

Phosphate ions uptake can be done through high affinity phosphate transporters (pstA, B, C, S) and regulatory genes (phoB, P, R, U) and alkaline phosphatase. The genome also contains a low affinity phosphate transporter (pitA) and 13 phn genes for phosphonate utilization.

Extended insights

In order to gain knowledge about the biology of N. ignava 2SM4T, we explored its genome searching for diverse metabolic, physiological and structural characteristics described in other roseobacters and the outcome of these searches is commented in the following paragraphs.

N. ignava 2SM4T draft genome encodes all necessary genes for assimilatory sulfate reduction (cys genes), except cysH gene coding for phosphoadenosine phosphosulfate (PAPS) reductase, in view of this, the ability of performing this activity cannot be concluded. DMSP is also metabolized. DMSP is a sulfur organic compound produced by phytoplankton for osmoregulation and is a carbon and sulfur source in marine environment for bacterioplankton [3]. There are two pathways to use DMSP: cleavage and demethylation. Cleavage pathway releases DMS which is a climate-active gas important in atmospheric-cooling. Demethylation pathway allows sulfur assimilation. Four genes of this route (dmdA_1, dmdA_2, B, C) were predicted but no cleavage pathway genes were found. Thus, in the absence of the ability to perform a complete nitrate and sulfate assimilatory reductions, the bacterium seems mostly compelled to obtain N and S from organic sources. We also observed that siderophore production is also absent, so the species is closely dependent of organic matter and reduced forms for its mineral nutrition.

Many marine environments are known because of the organic nutrients scarceness and this is why many marine heterotrophic bacteria develop strategies to obtain energy from different sources. One of the mechanisms is using reduced inorganic compounds. In this sense, the complete set of sox genes (soxRSVWXYZABCDEF) is present in the annotated genome, conferring the ability to oxidize reduced inorganic sulfur compounds such as thiosulfate, a very common compound in seawater and utilized by other members of Roseobacter group [24]. Another mechanism is by oxidizing CO to CO2 by means of carbon monoxide dehydrogenase, encoded by coxL form I and II. These genes were not annotated in the genome indicating this strain is not able to use this source of energy. Phototrophy appears to be a way to increase efficiency of heterotrophic growth for many members of Roseobacter group [25]. Photosynthetic genes were detected comprising a large photosynthetic gene cluster as in other Roseobacter strains [26]: bacteriochlorophyll a and carotenoid genes (bch and crt), photosynthetic reaction centre and light-harvesting antenna complex genes (puf and puh) and a sensor of blue light using FAD (BLUF domain). BLUF sensor domains are hypothesized to be involved in light-dependent regulation of the photosynthesis operon. The ability to synthetize bchl a and carotenoids was unexpected, as the strain has been unpigmented in every growth condition assayed in our lab. Chemotaxis and chemoreceptor genes were also checked and the genome harbors 12 genes involved in both activities. Light sensing for phototrophy is supported by 3 genes encoding blue light activated proteins and the sensor for blue light mentioned. However, but not unexpected, rubisco genes were absent.

The genome of N. ignava 2SM4T shows several genes that may be related to its phylogenetic position close to algal symbionts [1]. As previously reported [5, 27], members of Roseobacter group enhance phytoplankton colonization by producing antibiotics that prevent the growth of other bacteria and promote that of phytoplankton by synthetizing auxin and vitamins. Genes related to these functions were also located in genomes of other alphaproteobacteria associated with primary producers [28]. According to antiSMASH v2.0 program, this genome contains two terpene gene clusters, one bacteriocin gene cluster, one microcin gene cluster and a homoserine lactone gene cluster. In addition, seven genes were identified as belonging to Colicin V and Bacteriocin production cluster, while auxin biosynthesis, transport and degradation and group B (B1, B2, B3, B6, B9, B12) vitamins biosynthesis genes, that were also annotated, suggest this strain could have a biotechnological application.

Drug/metabolite transporters superfamily (DMTs) [29] are a group of transporters found ubiquitously and also in Roseobacter group [30]. They use ion gradients instead of ATP, which may be useful in marine environment, and in roseobacters, they average 30 genes per genome compared to 16 for other alphaproteobacteria. However, in the genome of N. ignava 2SM4T only 11 genes belonging to this superfamily and one putative DMT superfamily transporter were found. This can be explained because of the small size of the genome. Moreover, 6 multidrug export proteins genes (mepA, mepA_2, mdtA, mdtK, two putative multidrug export ATP-binding/permease) and resistance proteins to antibiotics such as tetracycline, spectinomycin, chloramphenicol and camphor were also predicted. In addition, the genome of strain 2SM4T encodes 6 beta-lactamase genes and a complete mechanism for fluoroquinolones resistance. Other genes encoding for copper homeostasis enzymes, mercury reductase were also predicted. These genes confer to this bacterium a strong potential in competing with other microorganisms and tolerating heavy metals.

A reduced number of ABC, TRAP and DMT transporters was related to small size of the genome in recent studies [20]. ABC transporters use energy of ATP breakdown to move a wide range of substrates across membranes while TRAP transporters use ion gradients instead. 140 ABC transporters were predicted using RAST annotation pipeline, which is in contrast with the average value of 279 genes contained in genomes of Roseobacter group according to Durham et al. [20]. TRAP transporters were also predicted below the average number in the Roseobacter group, 34 versus 60. Again this trend is in agreement with the reduced genome size (and may be related to the narrow range of substrates that the strain uses as sole carbon and energy sources).

The ability of synthetizing virulence factors was explored and an apxIB gene coding a RTX-I toxin determinant B together with two genes coding for Type I Secretion System proteins (PrsE_1 and TolC), a plasmid hemolysin genes (hlyA_2) and a hemolysin secretion protein (hlyD) were annotated contiguously in the genome suggesting they form an operon. A similar structure but without the RTX-I toxin gene was found in the genome in a different location while 3 hemolysin, a leukotoxin and a ribosome associated toxin RatA genes were located dispersedly in different parts of the genome. These findings support the idea that roseobacters frequently interact with neighboring cells to increase the possibilities to access resources.

Quorum sensing is a process of cell-to-cell communication between related cells, which is dependent on the detection of a certain detected population threshold value. Small molecules act as autoinducers when the concentration of these molecules reaches a threshold value and then they activate gene expression to coordinate population behavior. This is especially important in bacteria colonizing or infecting hosts as this determines its success. No luxI genes were predicted but 3 luxR family proteins were annotated by RAST and also found in Prokka under regulatory protein designation. On the bacterial chromosome, luxR genes are usually found next or near to a luxI gene encoding the AHL signal synthase, but recently luxR alone was examined through bacterial genomes [31]. This “loneliness” appears to be quite common suggesting they may either respond to internal AHL signals produced by a non-adjacent luxI in the chromosome or can respond to exogenous signals. Two autoinducer 2 sensor kinase/phosphatase luxQ genes were predicted.

Genes encoding signal transduction proteins are present in Roseobacter group genomes as a mechanism to respond to environmental stimuli [30]. Amino acid metabolism seems important in this strain as eight Lrp genes involved in this metabolism were predicted, exceeding in number and variety those involved in carbohydrate utilization. Eight MarR genes are also found, involved in antibiotic resistance and stress response, and GntR and IclR encoding repressors of gluconate utilization and acetate operon respectively were also encoded.

Although no swarming or motility via flagella were observed in cells [1], a large number of flagella machinery genes and a swarming protein gene were annotated: 22 fli genes, 15 flg genes, 2 flh genes, a flagellar assembly protein H gene, a Ylx H flagellum site-determining protein gene, a flagellar basal body rod modification protein, a quorum sensing regulator protein F gene and a swarming motility protein SwrC gene. The majority of these genes were located contiguously in the genome. In line with this, capsule and biofilm formation genes were also examined. The genome contains 3 capsule polysaccharide biosynthesis protein genes, two Vi polysaccharide export inner membrane protein genes, vexB and vexD, two acid polysialic transport protein and other polysaccharide export protein genes. Colonies were not reported to have mucosal appearance [1], but these genes suggest cells have the ability to synthetize some capsular components which expression may be induced under determined environmental circumstances. Moreover, two biofilm growth associated repressor genes and an intercellular adhesion protein R (icaR gene) were found. Fimbriae and pili genes were also encoded in this bacterium draft genome: two Flp pilus assembly protein TadG, a helicase Rec Q associated with Flp pilus assembly and type IV pilus biogenesis protein PilW and conjugation transfer ATPase VirB4 family. Two genes associated with curli fimbriae and cellulose extracellular matrix formation in enterobacteria [32], csgA and bcsA gene, were also predicted in the genome as well as two succinoglycan biosynthesis proteins exoI. Thus, adhesion genes may support the ability of communication between cells and attaching to surfaces as a symbiont bacterium if this biological condition is confirmed.

CRISPR repeats were not detected, however, three type III restriction-modification system proteins, methylase, helicase and one putative hydrolase, were encoded, indicating that this strain has a putative mechanism of defense from foreign nucleic acids.

Plasmids are present in many members of the Roseobacter group [33]. Further study must be done to close the genome sequence and discover plasmids encoded by N. ignava 2SM4T. However, there is certain evidence suggesting plasmid presence. As previously remarked, two plasmid hemolysins were annotated, but also a plasmid oligopeptidase F, whose position is close to a type IV pilus biogenesis/stability protein PilW, two C-terminal domains of phage/plasmid primase belonging to P4 family and a type IV secretion/conjugal transfer ATPase belonging to VirB4 family. A postsegregational killing system (PSK) can be deducted by the codification of an antitoxin of toxin-antitoxin stability system N-terminal, but no closely toxin gene was found.

Cell division genes (fts) and rod shape-determining proteins genes (rodA, mreB, mreC) were encoded in the genome, however no min genes [34], determining the central axis in cell division, were found. This absence may be related with the budding division shown by N. ignava and other members of the Roseobacter group; in fact, min genes seem to be rare in the Roseobacter genomes examined so far.


The draft genome of N. ignava 2SM4T was described. This strain was selected for genome sequencing among a larger set of marine strains isolated and characterized by our research group during the last three decades, due to its distant evolutionary relationship with other members of the Rhodobacteraceae family, to provide reference material as a unique member of the genus and species and to study its biological potential. The genes annotated revealed an important potential role in carbon, nitrogen and sulfur cycling in marine environment. A mixotrophic growth could be possible thanks to the presence of the adequate gene repertoire. The small size of the genome and auxin, vitamins and secondary metabolites production genes may explain its phylogenetic relationship with gall symbiont bacteria and display a potential use for biotechnological purposes.



ATP-binding cassette


Clusters of Orthologous Groups




Microbial earth project




Tripartite ATP-independent Periplasmic


  1. Pujalte MJ, Macián MC, Arahal DR, Ludwig W, Schleifer KH, Garay E. Nereida ignava gen. nov., sp. nov., a novel aerobic marine alpha-proteobacterium that is closely related to uncultured Prionitis (alga) gall symbionts. Int J Syst Evol Microbiol. 2005;55(Pt 2):631–6.

    Article  CAS  PubMed  Google Scholar 

  2. Wagner-Döbler I, Biebl H. Environmental biology of the marine Roseobacter lineage. Annu Rev Microbiol. 2006;60:255–80.

    Article  PubMed  Google Scholar 

  3. Kiene RP, Linn LJ, González J, Moran MA, Bruton JA. Dimethylsulfoniopropionate and methanethiol are important precursors of methionine and protein-sulfur in marine bacterioplankton. Appl Environ Microbiol. 1999;65(10):4549–58.

    PubMed Central  CAS  PubMed  Google Scholar 

  4. Geng H, Belas R. Molecular mechanisms underlying roseobacter-phytoplankton symbioses. Curr Opin Biotechnol. 2010;21:332–8.

    Article  CAS  PubMed  Google Scholar 

  5. Seyedsayamdost MR, Case RJ, Kolter R, Clardy J. The Jekyll-and-Hyde chemistry of Phaeobacter gallaeciensis. Nat Chem. 2011;3(4):331–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  6. Ashen JB, Goff LJ. Molecular identification of a bacterium associated with gall formation in the marine red alga Prionitis lanceolata. J Phycol. 1996;32:286–97.

    Article  CAS  Google Scholar 

  7. Ashen JB, Goff LJ. Galls on the marine red alga Prionitis lanceolate (Halymeniaceae): specific induction and subsequent development of an algal-bacterial symbiosis. Am J Bot. 1998;85(12):1710–21.

    Article  CAS  PubMed  Google Scholar 

  8. Ashen JB, Goff LJ. Molecular and ecological evidence for species specificity and coevolution in a group of marine algal-bacterial symbioses. Appl Environ Microbiol. 2000;66(7):3024–30.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  9. Kim OS, Cho YJ, Lee K, Yoon SH, Kim M, Na H, et al. Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol. 2012;62(Pt 3):716–21.

    Article  CAS  PubMed  Google Scholar 

  10. Cuccuru G, Orsini M, Pinna A, Sbardellati A, Soranzo N, Travaglione A, Uva P, Zanetti G, Fotia G. Orione, a web-based framework for NGS analysis in microbiology. Bioinformatics. 2014;30(13):1928–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Chevreux B, Wetter T, Suhai S. Genome sequence assembly using trace signals and additional sequence information. Computer Science and Biology: Proceedings of the German Conference on Bioinformatics. 1999;99:45–56.

    Google Scholar 

  12. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30(14):2068–9.

    Article  CAS  PubMed  Google Scholar 

  13. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008;9:75.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Grissa I, Vergnaud G, Pourcel C. CRISPR Finder: a web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res. 2007;35(Web Server issue):W52–57.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nature Methods. 2011;8:785–6.

    Article  CAS  PubMed  Google Scholar 

  16. Krogh A, Larsson B, von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol. 2001;305(3):567–80.

    Article  CAS  PubMed  Google Scholar 

  17. Wu S, Zhu Z, Fu L, Niu B, Li W. WebMGA: a customizable web server for fast metagenomic sequence analysis. BMC Genomics. 2011;12:444.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Medema MH, Blin K, Cimermancic P, de Jager V, Zakrzewski P, Fischbach MA, Weber T, Takano E, Breitling R. AntiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res. 2011;39(Web Server issue):W339–346.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F, Geer LY, Geer RC, He J, Gwadz M, Hurwitz DI, Lanczycki CJ, Lu F, Marchler GH, Song JS, Thanki N, Wang Z, Yamashita RA, Zhang D, Zheng C, Bryant SH. CDD: NCBI’s conserved domain database. Nucleic Acids Res. 2015;43(Database issue):D222–226.

    Article  PubMed Central  PubMed  Google Scholar 

  20. Durham BP, Grote J, Whittaker KA, Bender SJ, Luo H, Grim SL, Brown JM, Casey JR, Dron A, Florez-Leiva L, Krupke A, Luria CM, Mine AH, Nigro OD, Pather S, Talarmin A, Wear EK, Weber TS, Wilson JM, Church MJ, DeLong EF, Karl DM, Steward GF, Eppley JM, Kyrpides NC, Schuster S, Rappé MS. Draft genome sequence of marine alphaproteobacterial strain HIMB11, the first cultivated representative of a unique lineage within the Roseobacter clade possessing an unusually small genome. Stand Genomic Sci. 2014;9(3):632–45.

    Article  PubMed Central  PubMed  Google Scholar 

  21. McCutcheon JP, Moran NA. Extreme genome reduction in symbiotic bacteria. Nat Rev Microbiol. 2011;10(1):13–26.

    PubMed  Google Scholar 

  22. Schneider K, Peyraud R, Kiefer P, Christen P, Delmotte N, Massou S, Portais JC, Vorholt JA. The ethylmalonyl-CoA pathway is used in place of the glyoxylate cycle by Methylobacterium extorquens AM1 during growth on acetate. J Biol Chem. 2012;287(1):757–66.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Chen Y. Comparative genomics of methylated amine utilization by marine Roseobacter clade bacteria and development of functional gene markers (tmm, gmaS). Environ Microbiol. 2012;14(9):2308–22.

    Article  CAS  PubMed  Google Scholar 

  24. Moran MA, Buchan A, González JM, Heidelberg JF, Whitman WB, Kiene RP, Henriksen JR, King GM, Belas R, Fuqua C, Brinkac L, Lewis M, Johri S, Weaver B, Pai G, Eisen JA, Rahe E, Sheldon WM, Ye W, Miller TR, Carlton J, Rasko DA, Paulsen IT, Ren Q, Daugherty SC, Deboy RT, Dodson RJ, Durkin AS, Madupu R, Nelson WC, et al. Genome sequence of Silicibacter pomeroyi reveals adaptations to the marine environment. Nature. 2004;432(7019):910–3.

    Article  CAS  PubMed  Google Scholar 

  25. Pradella S, Allgaier M, Hoch C, Päuker O, Stackebrandt E, Wagner-Döbler I. Genome organization and localization of the pufLM genes of the photosynthesis reaction center in phylogenetically diverse marine Alphaproteobacteria. Appl Environ Microbiol. 2004;70(6):3360–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  26. Riedel T, Spring S, Fiebig A, Scheuner C, Petersen J, Göker M, Klenk HP. Genome sequence of the Roseovarius mucosus type strain (DSM 17069T), a bacteriochlorophyll a-containing representative of the marine Roseobacter group isolated from the dinoflagellate Alexandrium ostenfeldii. Stand Genomic Sci. 2015;10:17.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Ashen JB, Cohen JD, Goff LJ. GC-SIM-MS detection and quantification of free indole-3-acetic acid in bacterial galls on the marine alga Prionitis lanceolata (Rhodophyta). J Phycol. 1999;35:493–500.

    Article  CAS  Google Scholar 

  28. Bentzon-Tilia M, Riemann L, Gram L. Draft genome sequence of Hoeflea sp. strain BAL378, a potential producer of bioactive compounds. Genome Announc. 2014;2(6):e01213–01214.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Jack DL, Yang NM, Saier Jr MH. The drug/metabolite transporter superfamily. Eur J Biochem. 2001;268(13):3620–39. Review.

    Article  CAS  PubMed  Google Scholar 

  30. Moran MA, Belas R, Schell MA, González JM, Sun F, Sun S, Binder BJ, Edmonds J, Ye W, Orcutt B, Howard EC, Meile C, Palefsky W, Goesmann A, Ren Q, Paulsen I, Ulrich LE, Thompson LS,Saunders E, Buchan A. Ecological genomics of marine Roseobacters. Appl Environ Microbiol. 2007;73(14):4559–69.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  31. Hudaiberdiev S, Choudhary KS, Vera Alvarez R, Gelencsér Z, Ligeti B, Lamba D, Pongor S. Census of solo LuxR genes in prokaryotic genomes. Front Cell Infect Microbiol. 2015;5:20.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Zogaj X, Bokranz W, Nimtz M, Römling U. Production of cellulose and curli fimbriae by members of the family Enterobacteriaceae isolated from the human gastrointestinal tract. Infect Immun. 2003;71(7):4151–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  33. Petersen J, Frank O, Göker M, Pradella S. Extrachromosomal, extraordinary and essential–the plasmids of the Roseobacter clade. Appl Microbiol Biotechnol. 2013;97(7):2805–15.

    Article  CAS  PubMed  Google Scholar 

  34. Meinhardt H, de Boer PA. Pattern formation in Escherichia coli: a model for the pole-to-pole oscillations of Min proteins and the localization of the division site. Proc Natl Acad Sci. 2001;98(25):14202–7.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  35. Yarza P, Richter M, Peplies J, Euzeby J, Amann R, Schleifer KH, Ludwig W, Glöckner FO, Rosselló-Móra R. The All-Species Living Tree project: a 16S rRNA-based phylogenetic tree of all sequenced type strains. Syst Appl Microbiol. 2008;31:241–50.

    Article  CAS  PubMed  Google Scholar 

  36. Ludwig W, Strunk O, Westram R, Richter L, Meier H, Yadhukumar J, Buchner A, Lai T, Steppi S, Jobb G, et al. ARB: a software environment for sequence data. Nucleic Acids Res. 2004;32:1363–71.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–25.

    CAS  PubMed  Google Scholar 

  38. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008;26:541–7.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Field D, Amaral-Zettler L, Cochrane G, Cole JR, Dawyndt P, Garrity GM, Gilbert J, Glöckner FO, Hirschman L, Karsch-Mizrachi I, Klenk HP, Knight R, Kottmann R, Kyrpides N, Meyer F, San Gil I, Sansone SA, Schriml LM, Sterk P, Tatusova T, Ussery DW, White O, Wooley J. The Genomic Standards Consortium. PLoSBiol. 2011;9(6):e1001088.

    Article  CAS  Google Scholar 

  40. Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: Proposal for the domains Archaea, Bacteria, and Eucarya. Proc Nat Acad Sci. 1990;87:4576–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  41. Garrity GM, Bell JA, Lilburn TG. Phylum XIV. Proteobacteria phyl. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s Manual of Systematic Bacteriology, Volume 2. 2nd edition, Part B. New York: Springer; 2005. p. 1.

    Chapter  Google Scholar 

  42. Garrity GM, Bell JA, Lilburn TG. Class I. Alphaproteobacteria class. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s Manual of Systematic Bacteriology, Volume 2, 2nd edition, Part C. New York: Springer; 2005. p. 1.

    Chapter  Google Scholar 

  43. Garrity GM, Bell JA, Lilburn TG. Order III. Rhodobacterales ord. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s Manual of Systematic Bacteriology, Volume 2, 2nd edition, Part C. New York: Springer; 2005. p. 161.

    Google Scholar 

  44. Garrity GM, Bell JA, Lilburn TG. Family I. Rhodobacteraceae fam. nov. In: Garrity GM, Brenner DJ, Krieg NR, Staley JT, editors. Bergey’s Manual of Systematic Bacteriology, Volume 2, 2nd edition, Part C. New York: Springer; 2005. p. 161.

    Google Scholar 

  45. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25(1):25–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references


This work was financially supported by projects TAXPROMAR 2010 (CGL2010-18134/BOS) of the Spanish Ministerio de Economía y Competitividad and GV PROMETEO/2012/040 of the Generalitat Valenciana, upon which LTR is employed. MC Macián is acknowledged for the electron microscopy and MA Ruvira for cultivation and DNA extraction.

Author information

Authors and Affiliations


Corresponding author

Correspondence to David R. Arahal.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

DRA and MJP participated in the design and initiated and supervised the study. LRT did the assembly, annotation and comparative analyses steps, and drafted the manuscript. All authors discussed, analyzed the data and revised and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arahal, D.R., Pujalte, M.J. & Rodrigo-Torres, L. Draft genomic sequence of Nereida ignava CECT 5292T, a marine bacterium of the family Rhodobacteraceae . Stand in Genomic Sci 11, 21 (2016).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: