Literature DB >> 25197450

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.

Bryndan P Durham1, Jana Grote2, Kerry A Whittaker3, Sara J Bender4, Haiwei Luo5, Sharon L Grim6, Julia M Brown7, John R Casey2, Antony Dron8, Lennin Florez-Leiva9, Andreas Krupke10, Catherine M Luria11, Aric H Mine12, Olivia D Nigro2, Santhiska Pather13, Agathe Talarmin14, Emma K Wear15, Thomas S Weber16, Jesse M Wilson17, Matthew J Church2, Edward F DeLong18, David M Karl2, Grieg F Steward2, John M Eppley18, Nikos C Kyrpides19, Stephan Schuster20, Michael S Rappé21.   

Abstract

Strain HIMB11 is a planktonic marine bacterium isolated from coastal seawater in Kaneohe Bay, Oahu, Hawaii belonging to the ubiquitous and versatile Roseobacter clade of the alphaproteobacterial family Rhodobacteraceae. Here we describe the preliminary characteristics of strain HIMB11, including annotation of the draft genome sequence and comparative genomic analysis with other members of the Roseobacter lineage. The 3,098,747 bp draft genome is arranged in 34 contigs and contains 3,183 protein-coding genes and 54 RNA genes. Phylogenomic and 16S rRNA gene analyses indicate that HIMB11 represents a unique sublineage within the Roseobacter clade. Comparison with other publicly available genome sequences from members of the Roseobacter lineage reveals that strain HIMB11 has the genomic potential to utilize a wide variety of energy sources (e.g. organic matter, reduced inorganic sulfur, light, carbon monoxide), while possessing a reduced number of substrate transporters.

Entities:  

Keywords:  Roseobacter; aerobic anoxygenic phototroph; dimethylsulfoniopropionate; marine bacterioplankton

Year:  2014        PMID: 25197450      PMCID: PMC4148974          DOI: 10.4056/sigs.4998989

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

Bacteria belonging to the lineage of marine account for a substantial fraction (ranging ~10 – 25%) of bacterioplankton cells in surface ocean seawater [1-4], making them one of a relatively small number of suitable targets for scientists investigating the ecology of abundant marine bacterial groups. Focused genome sequencing efforts have provided significant insights into the functional and ecological roles for this group [5-7]. In 2004, the first member of this group to have its genome sequenced, (basonym ) strain DSS-3 [8], revealed strategies used by the group for nutrient acquisition in the marine environment. To date, over 40 genomes have been sequenced from members of the lineage. Comparative analysis among 32 of these genomes indicates that members of this group are ecological generalists, having relatively plastic requirements for carbon and energy metabolism, which may allow them to respond to a diverse range of environmental conditions [9]. For example, members of the lineage have the genomic potential to obtain energy via oxidation of organic substrates, oxidation of inorganic compounds, and/or sunlight-driven electron transfer via bacteriochlorophyll a, proteorhodopsin, or xanthorhodopsin phototrophic systems. Genome analyses as well as culture experiments have also revealed a variety of mechanisms by which roseobacters may associate and interact with phytoplankton and other eukaryotes. These include genes involved in uptake of compounds produced by algae such as peptides, amino acids, putrescine, spermidine, and DMSP [10,11], as well as genes for chemotaxis, attachment, and secretion [12]. Strain HIMB11 was isolated from surface seawater collected from Kaneohe Bay off the coast of Oahu, Hawaii, USA in May, 2005. Subsequent 16S rRNA gene sequence comparisons revealed it to be a member of the clade of marine bacterioplankton [13] that was highly abundant after a storm-induced phytoplankton bloom in the bay [14]. Here, we present a preliminary set of features for strain HIMB11, a description of the draft genome sequence and annotation, and a comparative analysis with 35 other genome sequences from members of the lineage. Genome annotation revealed strain HIMB11 to have the genetic potential for bacteriochlorophyll-based aerobic anoxygenic phototrophic (AAnP) metabolism and degradation of the algal-derived compound DMSP along with production of the climate-relevant gas dimethylsulfide (DMS), and oxidation of the greenhouse gas carbon monoxide (CO). Collectively, these features indicate the potential for strain HIMB11 to participate in the biogeochemical cycling of sulfur and carbon, and concomitantly affect global climate processes.

Classification and features

Strain HIMB11 was isolated by a high-throughput, dilution-to-extinction approach [15] from surface seawater collected near the coast of Oahu, Hawaii, USA, in the tropical North Pacific Ocean. The strain was isolated in seawater sterilized by tangential flow filtration and amended with low concentrations of inorganic nitrogen and phosphorus (1.0 µM NH4Cl, 1.0 µM NaNO3, and 0.1 µM KH2PO4). Comparative analysis of the HIMB11 16S rRNA gene sequence to those from cultured, sequenced roseobacters indicates that HIMB11 occupies a unique lineage that is divergent from the 16S rRNA gene sequences of strains already in culture (Figure 1). Based on the National Center for Biotechnology Information (NCBI) non-redundant database, the HIMB11 16S rRNA gene sequence is most similar (~99% nucleotide identity) to a large number of environmental gene clones obtained from various marine environments that exclusively fall in the lineage of .
Figure 1

Phylogenetic relationships between HIMB11 and bacterial strains belonging to the clade. SSU rRNA gene sequences were aligned with version 111 of the ‘All-Species Living Tree’ project SSU rRNA gene database [16] using the ARB software package [17]. The phylogeny was constructed from nearly full-length gene sequences using the RAxML maximum likelihood method [18] within ARB, filtered to exclude alignment positions that contained gaps or ambiguous nucleotides in any of the sequences included in the tree. Bootstrap analyses were determined by RAxML [19] via the raxmlGUI graphical front end [20]. The scale bar corresponds to 0.05 substitutions per nucleotide position. Open circles indicate nodes with bootstrap support between 50-80%, while closed circles indicate bootstrap support >80%, from 500 replicates. A variety of were used as outgroups.

Phylogenetic relationships between HIMB11 and bacterial strains belonging to the clade. SSU rRNA gene sequences were aligned with version 111 of the ‘All-Species Living Tree’ project SSU rRNA gene database [16] using the ARB software package [17]. The phylogeny was constructed from nearly full-length gene sequences using the RAxML maximum likelihood method [18] within ARB, filtered to exclude alignment positions that contained gaps or ambiguous nucleotides in any of the sequences included in the tree. Bootstrap analyses were determined by RAxML [19] via the raxmlGUI graphical front end [20]. The scale bar corresponds to 0.05 substitutions per nucleotide position. Open circles indicate nodes with bootstrap support between 50-80%, while closed circles indicate bootstrap support >80%, from 500 replicates. A variety of were used as outgroups. Because of the significant sequence variation in 16S rRNA genes (up to 11%) and the prevalence of horizontal gene transfer within the clade, establishing a taxonomic framework for roseobacters remains a challenge [9]. When genome sequence data is available, it is often more informative to perform a phylogenomic analysis based on shared orthologs versus 16S rRNA phylogenetic analysis alone [9,21]. A maximum likelihood tree constructed using 719 shared orthologous protein sequences supported the 16S rRNA gene-based analysis by revealing that HIMB11 formed a unique sublineage of the clade (Figure 2).
Figure 2

Maximum likelihood phylogenomic tree derived from a concatenation of 719 shared single-copy orthologous protein sequences from strain HIMB11, 40 other members, and the SAR116 clade member Ca. Puniceispirillum marinum IMCC1322 (outgroup) using the RAxML maximum likelihood method [18]. After a reciprocal BLAST search [22] was performed for all possible genome pairs at the amino acid level using an E value of 10-6, orthologous genes in each of the genome pairs were identified using the MSOAR software [23], which assigns orthologs by considering both sequence similarity and gene context information. One genome was picked at random as the reference genome, and pairwise orthologs were linked to the reference. Values at the nodes show the number of times the clade defined by that node appeared in the 100 bootstrapped data sets. The scale bar indicates number of substitutions per site. Bootstrap values lower than 50% were not displayed.

Maximum likelihood phylogenomic tree derived from a concatenation of 719 shared single-copy orthologous protein sequences from strain HIMB11, 40 other members, and the SAR116 clade member Ca. Puniceispirillum marinum IMCC1322 (outgroup) using the RAxML maximum likelihood method [18]. After a reciprocal BLAST search [22] was performed for all possible genome pairs at the amino acid level using an E value of 10-6, orthologous genes in each of the genome pairs were identified using the MSOAR software [23], which assigns orthologs by considering both sequence similarity and gene context information. One genome was picked at random as the reference genome, and pairwise orthologs were linked to the reference. Values at the nodes show the number of times the clade defined by that node appeared in the 100 bootstrapped data sets. The scale bar indicates number of substitutions per site. Bootstrap values lower than 50% were not displayed. HIMB11 cells are short, irregular rods (0.3-0.5 x 0.8 µm) that are generally smaller in size than previously reported for other cultured strains (e.g. described taxa in Bergey’s Manual range from 0.5-1.6 – 1.0-4.0 µm) [24] (Figure 3). HIMB11 is likely motile, as the genes necessary to build flagella are present (e.g. fli, flg). Based on the ability of HIMB11 to grow in dark or light on a medium consisting solely of sterile seawater amended with inorganic nitrogen and phosphorus, and the absence any of the known pathways for inorganic carbon fixation, the strain is presumed to acquire carbon and energy via the oxidation of components of the dissolved organic carbon pool in natural seawater. Based on the presence of carbon-monoxide-oxidizing genes (i.e. coxL, forms I and II) [25,26] as well as bacteriochlorophyll-based phototrophy genes (e.g. puf, puh, bch) [27,28], HIMB11 is hypothesized to oxidize both organic and inorganic compounds as well as obtain energy from light [5]. A summary of these and other features is shown in Table 1.
Figure 3

Scanning electron micrograph of strain HIMB11. For scale, the membrane pore size is 0.2 μm in diameter.

Table 1

Classification and general features of strain HIMB11 according to the MIGS recommendations [29].

MIGS ID      Property       Term      Evidence codea
      Current classification       Domain Bacteria      TAS [30]
       Phylum Proteobacteria      TAS [31]
       Class Alphaproteobacteria      TAS [32,33]
       Order Rhodobacterales      TAS [32,34]
       Family Rhodobacteraceae      TAS [32,35]
       Genus not assigned
       Species not assigned
       Strain HIMB11
      Gram stain       Negative      NAS
      Cell shape       Short irregular rods      IDA
      Motility       Flagella      NAS
      Sporulation       Non-sporulating      NAS
      Temperature range       Mesophile      IDA
      Optimum temperature       Unknown
      Carbon source       Ambient seawater DOC      TAS [36]
      Energy source       Mixotrophic      NAS
      Terminal electron receptor
MIGS-6      Habitat       Seawater      IDA
MIGS-6.3      Salinity       ~35.0 ‰      IDA
MIGS-22      Oxygen       Aerobic      NAS
MIGS-15      Biotic relationship       Free-living      TAS [36]
MIGS-14      Pathogenicity       None      NAS
MIGS-4      Geographic location       Kaneohe Bay, Hawaii      TAS [14]
MIGS-5      Sample collection time       18 May, 2005      TAS [14]
MIGS-4.1      Latitude - Longitude       21.44, -157.78      TAS [14]
MIGS-4.2
MIGS-4.3      Depth       ~1 m      TAS [14]
MIGS-4.4      Altitude

a) Evidence codes - IDA: Inferred from Direct Assay; 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). These evidence codes are from the Gene Ontology project [37].

Scanning electron micrograph of strain HIMB11. For scale, the membrane pore size is 0.2 μm in diameter. a) Evidence codes - IDA: Inferred from Direct Assay; 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). These evidence codes are from the Gene Ontology project [37].

Genome sequencing information

Genome project history

The genome of strain HIMB11 was selected for sequencing based on its phylogenetic affiliation with the widespread and ecologically important clade of marine bacterioplankton and its periodically high abundance in coastal Hawaii seawater [14]. The genome sequence was completed on May 25, 2011, and presented for public access on September 15, 2013. The genome project is deposited in the Genomes OnLine Database (GOLD) as project Gi09592. The Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession number AVDB00000000. The version described in this paper is version AVBD01000000. Table 2 presents the main project information and its association with MIGS version 2.0 compliance [29].
Table 2

Project information

MIGS ID     Property     Term
MIGS-31     Finishing quality     Draft
MIGS-28     Libraries used     One standard 454 pyrosequence titanium library
MIGS-29     Sequencing platforms     454 GS FLX Titanium
MIGS-31.2     Fold coverage     121× pyrosequence
MIGS-30     Assemblers     Newbler version 2.5.3
MIGS-32     Gene calling method     Prodigal 1.4, GenePRIMP
     Genome Database release     IMG; 2506210027
     Genbank ID     AVDB00000000
     Genbank Date of Release     September 15, 2013
     GOLD ID     Gi09592
     Project relevance     Environmental

Growth conditions and DNA isolation

Strain HIMB11 was grown at 27 °C in 60 L of coastal Hawaii seawater sterilized by tangential flow filtration and supplemented with 10 µM NH4Cl, 1.0 µM KH2PO4, and 1.0 µM NaNO3 (final concentrations). Cells from the liquid culture were collected on a membrane filter, and DNA was isolated using a standard phenol/chloroform/isoamyl alcohol extraction protocol. A total of 50 μg of DNA was obtained.

Genome sequencing and assembly

The HIMB11 genome was sequenced at the Pennsylvania State University Center for Comparative Genomics and Bioinformatics (University Park, PA, USA) using a 454 GS FLX platform and Titanium chemistry from 454 Life Sciences (Branford, CT, USA). The sequencing library was prepared in accordance with 454 instructions and was carried out on a full 454 picotiter plate. This yielded 1,550,788 reads with an average length of 359 bp, totaling 556,821,617 bp. A subset of 1,336,895 reads was ultimately assembled using the Newbler assembler version 2.5.3, yielding a final draft genome of 34 contigs representing 3,098,747 bp. This provided 121× coverage of the genome.

Genome annotation

Genes were identified using Prodigal 1.4 [38] as part of the genome annotation pipeline in the Integrated Microbial Genomes Expert Review (IMG-ER) system [39,40] developed by the Joint Genome Institute (Walnut Creek, CA, USA). Predicted coding sequences were translated and used as queries against the NCBI non-redundant database and UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. The tRNAScanSE tool [41] was used to identify tRNA genes, and ribosomal RNAs were identified using RNAmmer [42]. Other non-coding RNAs were found by searching the genome for corresponding Rfam profiles using INFERNAL [43]. Additional gene prediction analysis and manual functional annotation was performed within the IMG-ER platform.

Genome properties

The HIMB11 draft genome is 3,098,747 bp long and comprises 34 contigs ranging in size from 454 to 442,822 bp, with an overall GC content of 49.73% (Table 3). Of the 3,237 predicted genes, 3,183 (98.33%) were protein-coding genes, and 54 were RNAs. Most (78%) protein-coding genes were assigned putative functions, while the remaining genes were annotated as hypothetical proteins. The distribution of genes into COG functional categories is presented in Table 4.
Table 3

Nucleotide content and gene count levels of the genome

Attribute       Value      % of totala
Genome size (bp)       3,098,747      100.00
DNA coding region (bp)       2,812,982      90.78
DNA G+C content (bp)       1,541,077      49.73
Total genes       3,237      100.00
RNA genes       54      1.67
Protein-coding genes       3,183      98.33
Genes in paralog clusters
Genes assigned to COGs       2,523      77.94
1 or more conserved domains
2 or more conserved domains
3 or more conserved domains
4 or more conserved domains
Genes with signal peptides       919      28.39
Genes with transmembrane helices       654      20.20
Paralogous groups

a) The total is based on either the size of the genome in base pairs or the total number of protein coding genes in the annotated genome.

Table 4

Number of genes associated with the 25 general COG functional categories

Code      Value       %agea        Description
J      158       5.6        Translation
A      0       0        RNA processing and modification
K      159       5.7        Transcription
L      104       3.7        Replication, recombination and repair
B      3       0.1        Chromatin structure and dynamics
D      24       0.9        Cell cycle control, mitosis and meiosis
Y      0       0        Nuclear structure
V      22       0.8        Defense mechanisms
T      74       2.6        Signal transduction mechanisms
M      133       4.7        Cell wall/membrane biogenesis
N      40       1.4        Cell motility
Z      0       0        Cytoskeleton
W      0       0        Extracellular structures
U      38       1.4        Intracellular trafficking and secretion
O      118       4.2        Posttranslational modification, protein turnover, chaperones
C      196       7.0        Energy production and conversion
G      165       5.9        Carbohydrate transport and metabolism
E      334       11.9        Amino acid transport and metabolism
F      73       2.6        Nucleotide transport and metabolism
H      157       5.6        Coenzyme transport and metabolism
I      154       5.5        Lipid transport and metabolism
P      112       4.0        Inorganic ion transport and metabolism
Q      123       4.4        Secondary metabolites biosynthesis, transport and catabolism
R      379       13.5        General function prediction only
S      238       8.5        Function unknown
-      714       22.06        Not in COGs

a) The total is based on the total number of protein coding genes in the annotated genome.

a) The total is based on either the size of the genome in base pairs or the total number of protein coding genes in the annotated genome. a) The total is based on the total number of protein coding genes in the annotated genome.

Insights from the Genome Sequence

Metabolism of HIMB11

Major pathways of carbon, nitrogen, phosphorus, and sulfur acquisition, as well as alternative metabolisms and means of energy acquisition (e.g. light, CO), were annotated based on the presence and absence of key genes involved in these processes. A summary is provided in Figure 4. HIMB11 appears to possess an incomplete glycolysis pathway (pfkC and pgm are absent), yet it possesses the genes necessary for gluconeogenesis. HIMB11 harbors genes for the Entner-Doudoroff and pentose phosphate pathways, as well as pyruvate carboxylase to perform anaplerotic CO2 fixation. HIMB11 does not appear to use inorganic forms of nitrogen other than ammonium, as there are no genes present that are involved in nitrogen fixation, nitrate or nitrite reduction, nitric oxide reduction, nitrous oxide reduction, hydroxylamine oxidation, or nitroalkane denitrification. Instead, HIMB11 is hypothesized to rely solely on reduced and organic nitrogen sources; there are transporters for ammonium (amtB) and a variety of other nitrogen-containing substrates (e.g. amino acids, polyamines, glycine betaine, taurine), as well as genes for urease (ureABC). Strain HIMB11 possesses a high-affinity phosphate transporter accompanied by regulatory genes (pstSCAB, phoUBR) and alkaline phosphatase (phoA), suggesting that it can utilize both inorganic and organic forms of phosphorus; it does not harbor low-affinity phosphate transport (pitA) or the genes for phosphonate utilization (phnGHIJKLM).
Figure 4

Proposed mechanisms for the acquisition of carbon, nitrogen, phosphorus, sulfur, and energy in HIMB11. Substrates that are hypothesized to be transported and used by HIMB11 are in bold. Genes that designate these mechanisms are indicated. DMSP, dimethylsulfoniopropionate; DMS, dimethylsulfide; DON, dissolved organic nitrogen; C-O-P, phosphoesters; C-P, phosphonates; Pi, phosphate.

Proposed mechanisms for the acquisition of carbon, nitrogen, phosphorus, sulfur, and energy in HIMB11. Substrates that are hypothesized to be transported and used by HIMB11 are in bold. Genes that designate these mechanisms are indicated. DMSP, dimethylsulfoniopropionate; DMS, dimethylsulfide; DON, dissolved organic nitrogen; C-O-P, phosphoesters; C-P, phosphonates; Pi, phosphate. HIMB11 possesses genes for assimilatory sulfate reduction (cys) and for the metabolism of reduced, organic sulfur compounds (e.g. amino acids, DMSP). DMSP is an osmolyte produced by certain phytoplankton, including dinoflagellates and coccolithophores [44,45], and acts as a major source of both carbon and sulfur for marine bacterioplankton in ocean surface waters [46-49]. Roseobacters are frequently abundant during DMSP-producing algal blooms [1], and members of this group have become models for the study of bacterial transformations of DMSP [50]. There are two competing pathways for DMSP degradation: the demethylation pathway that leads to assimilation of sulfur (dmdA, -B, -C, -D), and the cleavage pathway that leads to the release of DMS (dddD, -L, -P, -Q, -W, -Y) [51]. DMS is a climate-active gas that has been implicated in the formation of atmospheric-cooling aerosols and clouds. The genome of HIMB11 harbors versions of both sides of the pathway (dmdA, -B, -C, -D’ and dddP, -D). The HIMB11 genome contains genes that encode for a diverse array of energy acquisition strategies. The presence of the sox gene cluster indicates that HIMB11 is putatively capable of oxidizing reduced inorganic sulfur compounds [8] as a mechanism for lithoheterotrophic growth. Additional modes of energy acquisition encoded by the HIMB11 genome include pathways for CO oxidation to CO2 via carbon monoxide dehydrogenase (i.e. cox operons, including coxL, forms I and II) [25,26], degradation of aromatics (i.e. gentisate, benzoate, phenylacetic acid), and bacteriochlorophyll-based anoxygenic photosynthesis. Photosynthetic genes are organized in a photosynthesis gene cluster (PGC) and include genes for the photosynthetic reaction center (puf and puh), light harvesting complexes, biosynthesis of bacteriochlorphyll a and carotenoids, and regulatory factors (bch and crt). Two conserved regions within the PGC that were identified in a recent study examining the structure and arrangement of PGCs in ten AAnP bacterial genomes of different phylogenies, bchFNBHLM-LhaA-puhABC and crtF-bchCXYZ [28], were also found to be conserved in the HIMB11 genome. The arrangement of the puf genes (pufQBALMC) as well as the puh genes (puhABC-hyp-ascF-puhE) in HIMB11 is very similar to what has been described before for other strains [28]. Putative genes containing the sensor domain BLUF (blue-light-utilizing flavin adenine dinucleotide) were also found in HIMB11. BLUF sensor domains have been hypothesized to be involved in a light-dependent regulation of the photosynthesis operon and may enable light sensing for phototrophy [5,52].

Genome comparisons with other members of the clade

A regression model was used to estimate the genome size of HIMB11 based on the genomes of 40 strains (Figure 5). The model considers the number of nucleotides sequenced versus the ratio of the number of conserved single-copy genes universally present in genomes to the number of predicted protein-encoding genes. These data were fit to an exponential regression model (R2=0.94), which estimates the genome coverage of the draft HIMB11 genome to be 90.6% and the full genome size to be 3.42 Mb. This is relatively small compared to most cultured genomes (median 4.35 Mb) with only one notable exception ( member HTCC2255, 2.21 Mb).
Figure 5

Regression model for strain HIMB11 genome size estimation based on the genomes of 40 cultured strains. The x-axis shows the ratio of the number of conserved single-copy genes universally present in fully sequenced genomes to the number of predicted protein-encoding genes. The y-axis is the number of nucleotides sequenced. The data were fit to an exponential regression model (R2=0.94), and the model was used to estimate the genome size of HIMB11 to be 3.42 Mb.

Regression model for strain HIMB11 genome size estimation based on the genomes of 40 cultured strains. The x-axis shows the ratio of the number of conserved single-copy genes universally present in fully sequenced genomes to the number of predicted protein-encoding genes. The y-axis is the number of nucleotides sequenced. The data were fit to an exponential regression model (R2=0.94), and the model was used to estimate the genome size of HIMB11 to be 3.42 Mb. At the time of this analysis, 35 other genomes were publically available in the IMG-ER database (Table 5). The effect of a reduced genome size is readily apparent with respect to the transporter content of the HIMB11 genome: it possesses a highly reduced number of genes devoted to ATP-binding cassette (ABC) transporters and tripartite ATP-independent periplasmic (TRAP) transporters. ABC transporters use energy from ATP hydrolysis to transport a wide range of substrates across the membrane (e.g. ions, amino acids, peptides, sugars). While the 35 public genomes contain on average 279 genes involved in ABC transport (171 to 443 per genome), HIMB11 has only 169 genes for ABC transport systems. TRAP transporters are also underrepresented in the HIMB11 genome. These are a large prokaryotic family of solute transporters that contain a substrate binding protein (DctP) and two membrane proteins (DctQ and DctM). By relying on electrochemical ion gradients rather than ATP for transport [53], they mediate the uptake of a number of different substrates (e.g. succinate, malate, fumarate, pyruvate, taurine, ectoine, DMSP). genomes contain on average 60 genes devoted to TRAP transporter systems (23 to 135 genes per genome), while the HIMB11 genome harbors 26 TRAP transporter genes.
Table 5

Publicly available clade genomes use for comparative analysis with strain HIMB11, as of IMG release 3.4.

Organism name      Status      Size (bp)      Gene Count       GC%
Citreicella sp. SE45      Draft      5,523,231      5,499       67
Dinoroseobacter shibae DFL-12, DSM 16493      Finished      4,417,868      4,271       66
Jannaschia sp. CCS1      Finished      4,404,049      4,339       62
Loktanella sp. CCS2      Draft      3,497,325      3,703       55
Loktanella vestfoldensis SKA53      Draft      3,063,691      3,117       60
Maritimibacter alkaliphilus HTCC2654      Draft      4,529,231      4,763       64
Oceanibulbus indolifex HEL-45      Draft      4,105,524      4,208       60
Oceanicola batsensis HTCC2597      Draft      4,437,668      4,261       66
Oceanicola granulosus HTCC2516      Draft      4,039,111      3,855       70
Octadecabacter antarcticus 238      Draft      5,393,715      5,883       55
Octadecabacter antarcticus 307      Draft      4,909,025      5,544       55
Pelagibaca bermudensis HTCC2601      Draft      5,425,920      5,519       66
Phaeobacter gallaeciensis 2.10      Draft      4,157,399      4,017       60
Phaeobacter gallaeciensis BS107      Draft      4,232,367      4,136       60
Rhodobacterales sp. HTCC2083      Draft      4,018,415      4,226       53
Rhodobacterales sp. HTCC2150      Draft      3,582,902      3,713       49
Rhodobacterales sp. Y4I      Draft      4,344,244      4,206       64
Rhodobacterales sp. HTCC2255      Draft      2,224,475      2,209       37
Roseobacter denitrificans OCh 114      Finished      4,331,234      4,201       59
Roseobacter sp. AzwK-3b      Draft      4,178,704      4,197       62
Roseobacter sp. MED193      Draft      4,652,716      4,605       57
Roseobacter sp. SK209-2-6      Draft      4,555,826      4,610       57
Roseovarius nubinhibens ISM      Draft      3,668,667      3,605       64
Roseovarius sp. 217      Draft      4,762,632      4,823       61
Roseovarius sp. TM1035      Draft      4,209,812      4,158       61
Ruegeria pomeroyi DSS-3      Finished      4,601,053      4,355       64
Ruegeria sp. KLH11      Draft      4,487,498      4,338       58
Ruegeria sp. TM1040      Finished      4,153,699      3,964       60
Sagittula stellata E-37      Draft      5,262,893      5,121       65
Silicibacter lacuscaerulensis ITI-1157      Draft      3,523,710      3,677       63
Silicibacter sp. TrichCH4B      Draft      4,689,084      4,814       59
Sulfitobacter sp. EE-36      Draft      3,547,243      3,542       60
Sulfitobacter sp. GAI101      Draft      4,527,951      4,258       59
Sulfitobacter sp. NAS-14.1      Draft      4,002,069      4,026       60
Thalassiobium sp. R2A62      Draft      3,487,925      3,744       55
In contrast, drug/metabolite transporters (DMTs), which are another abundant group of transporters found in roseobacters [5], are abundant in HIMB11. DMTs are a ubiquitous superfamily (containing 14 families, six of which are prokaryotic) of drug and metabolite transporters, of which few are functionally characterized [54]. In prokaryotes, most act as pumps for the efflux of drugs and metabolites. On average, individual genomes harbor 27 genes for DMTs (19 to 37 per genome). HIMB11 has 33 DMT genes, which is further elevated when normalized to its small genome size. Thus, the reductive trend for ABC and TRAP transporters is reversed in the DMT family of transporters, potentially a result of selective pressure for the efflux of toxins/metabolites.

Conclusion

HIMB11 represents a member of the lineage that is phylogenomically distinct from other cultured, sequenced members of the clade. This uniqueness is further supported by its small genome and cell size relative to other members of this group that have been similarly investigated. These characteristics, taken together with the atypical transporter inventories, the presence of many alternative methods of energy acquisition (e.g. CO, light), and the periodic abundance of HIMB11 in Kaneohe Bay, suggest that stain HIMB11 is an opportunist in the environment, persisting on relatively few reduced substrates and alternative energy metabolism until conditions arise that are favorable for rapid growth (e.g. a phytoplankton bloom). Consistent with other members of this lineage is the potential for HIMB11 to play an important role in the cycling of the climatically important gases DMS, CO, and CO2, warranting further study in both the laboratory and field.
  40 in total

Review 1.  Dimethylsulfoniopropionate: its sources, role in the marine food web, and biological degradation to dimethylsulfide.

Authors:  Duane C Yoch
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

2.  ARB: a software environment for sequence data.

Authors:  Wolfgang Ludwig; Oliver Strunk; Ralf Westram; Lothar Richter; Harald Meier; Arno Buchner; Tina Lai; Susanne Steppi; Gangolf Jobb; Wolfram Förster; Igor Brettske; Stefan Gerber; Anton W Ginhart; Oliver Gross; Silke Grumann; Stefan Hermann; Ralf Jost; Andreas König; Thomas Liss; Ralph Lüssmann; Michael May; Björn Nonhoff; Boris Reichel; Robert Strehlow; Alexandros Stamatakis; Norbert Stuckmann; Alexander Vilbig; Michael Lenke; Thomas Ludwig; Arndt Bode; Karl-Heinz Schleifer
Journal:  Nucleic Acids Res       Date:  2004-02-25       Impact factor: 16.971

3.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

4.  Ecological genomics of marine Roseobacters.

Authors:  M A Moran; R Belas; M A Schell; J M González; F Sun; S Sun; B J Binder; J Edmonds; W Ye; B Orcutt; E C Howard; C Meile; W Palefsky; A Goesmann; Q Ren; I Paulsen; L E Ulrich; L S Thompson; E Saunders; A Buchan
Journal:  Appl Environ Microbiol       Date:  2007-05-25       Impact factor: 4.792

Review 5.  Surface colonization by marine roseobacters: integrating genotype and phenotype.

Authors:  Rachael N Slightom; Alison Buchan
Journal:  Appl Environ Microbiol       Date:  2009-08-07       Impact factor: 4.792

6.  Genome content of uncultivated marine Roseobacters in the surface ocean.

Authors:  Haiwei Luo; Ari Löytynoja; Mary Ann Moran
Journal:  Environ Microbiol       Date:  2011-08-19       Impact factor: 5.491

7.  Physiological and metabolic effects of carbon monoxide oxidation in the model marine bacterioplankton Ruegeria pomeroyi DSS-3.

Authors:  Michael Cunliffe
Journal:  Appl Environ Microbiol       Date:  2012-11-09       Impact factor: 4.792

8.  SAR11 marine bacteria require exogenous reduced sulphur for growth.

Authors:  H James Tripp; Joshua B Kitner; Michael S Schwalbach; John W H Dacey; Larry J Wilhelm; Stephen J Giovannoni
Journal:  Nature       Date:  2008-03-12       Impact factor: 49.962

9.  Bacterial Catabolism of Dimethylsulfoniopropionate (DMSP).

Authors:  Chris R Reisch; Mary Ann Moran; William B Whitman
Journal:  Front Microbiol       Date:  2011-08-12       Impact factor: 5.640

10.  Rfam: annotating non-coding RNAs in complete genomes.

Authors:  Sam Griffiths-Jones; Simon Moxon; Mhairi Marshall; Ajay Khanna; Sean R Eddy; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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  12 in total

1.  Biogeography and environmental genomics of the Roseobacter-affiliated pelagic CHAB-I-5 lineage.

Authors:  Sara Billerbeck; Bernd Wemheuer; Sonja Voget; Anja Poehlein; Helge-Ansgar Giebel; Thorsten Brinkhoff; Lone Gram; Wade H Jeffrey; Rolf Daniel; Meinhard Simon
Journal:  Nat Microbiol       Date:  2016-05-16       Impact factor: 17.745

2.  Newly identified HMO-2011-type phages reveal genomic diversity and biogeographic distributions of this marine viral group.

Authors:  Fang Qin; Sen Du; Zefeng Zhang; Hanqi Ying; Ying Wu; Guiyuan Zhao; Mingyu Yang; Yanlin Zhao
Journal:  ISME J       Date:  2022-01-12       Impact factor: 11.217

3.  Artificial Seawater Media Facilitate Cultivating Members of the Microbial Majority from the Gulf of Mexico.

Authors:  Michael W Henson; David M Pitre; Jessica Lee Weckhorst; V Celeste Lanclos; Austen T Webber; J Cameron Thrash
Journal:  mSphere       Date:  2016-04-27       Impact factor: 4.389

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

Authors:  David R Arahal; María J Pujalte; Lidia Rodrigo-Torres
Journal:  Stand Genomic Sci       Date:  2016-02-29

5.  Temporal and spatial dynamics of Bacteria, Archaea and protists in equatorial coastal waters.

Authors:  Caroline Chénard; Winona Wijaya; Daniel Vaulot; Adriana Lopes Dos Santos; Patrick Martin; Avneet Kaur; Federico M Lauro
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

6.  Rhodobacterales and Rhizobiales Are Associated With Stony Coral Tissue Loss Disease and Its Suspected Sources of Transmission.

Authors:  Stephanie M Rosales; Abigail S Clark; Lindsay K Huebner; Rob R Ruzicka; Erinn M Muller
Journal:  Front Microbiol       Date:  2020-04-23       Impact factor: 5.640

7.  Temperature Stress Induces Shift From Co-Existence to Competition for Organic Carbon in Microalgae-Bacterial Photobioreactor Community - Enabling Continuous Production of Microalgal Biomass.

Authors:  Eva Sörenson; Eric Capo; Hanna Farnelid; Elin Lindehoff; Catherine Legrand
Journal:  Front Microbiol       Date:  2021-02-11       Impact factor: 5.640

8.  Effect of copper sulfate on the external microbiota of adult common snook (Centropomus undecimalis).

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Journal:  Anim Microbiome       Date:  2021-03-02

9.  Isolation of SAR11 Marine Bacteria from Cryopreserved Seawater.

Authors:  Elizabeth A Monaghan; Kelle C Freel; Michael S Rappé
Journal:  mSystems       Date:  2020-12-22       Impact factor: 6.496

10.  Mechanisms driving genome reduction of a novel Roseobacter lineage.

Authors:  Xiaoyuan Feng; Xiao Chu; Yang Qian; Michael W Henson; V Celeste Lanclos; Fang Qin; Shelby Barnes; Yanlin Zhao; J Cameron Thrash; Haiwei Luo
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