Stand. Genomic Sci. 2011 4:3
doi:10.4056/sigs.1804360
Complete genome sequence of Rhodospirillum rubrum type strain (S1T)

A. Christine Munk1, Alex Copeland2, Susan Lucas2, Alla Lapidus2, Tijana Glavina Del Rio2, Kerrie Barry2, John C. Detter1,2, Nancy Hammon2, Sanjay Israni1, Sam Pitluck2, Thomas Brettin2, David Bruce2, Cliff Han1,2, Roxanne Tapia1,2, Paul Gilna3, Jeremy Schmutz1, Frank Larimer1, Miriam Land2,4, Nikos C. Kyrpides2, Konstantinos Mavromatis2, Paul Richardson2, Manfred Rohde5, Markus Göker6, Hans-Peter Klenk6*, Yaoping Zhang7, Gary P. Roberts7, Susan Reslewic7, David C. Schwartz7

1 Los Alamos National Laboratory, Bioscience Division, Los Alamos, New Mexico, USA
2 DOE Joint Genome Institute, Walnut Creek, California, USA
3 University of California San Diego, La Jolla, California, USA
4 Lawrence Livermore National Laboratory, Livermore, California, USA
5 HZI – Helmholtz Centre for Infection Research, Braunschweig, Germany
6 DSMZ – German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
7 University of Wisconsin-Madison, Madison, Wisconsin, USA

* Corresponding author: Hans-Peter Klenk

Electronic publication date: June 30, 2011.

Abstract

Rhodospirillum rubrum (Esmarch 1887) Molisch 1907 is the type species of the genus Rhodospirillum, which is the type genus of the family Rhodospirillaceae in the class Alphaproteobacteria. The species is of special interest because it is an anoxygenic phototroph that produces extracellular elemental sulfur (instead of oxygen) while harvesting light. It contains one of the most simple photosynthetic systems currently known, lacking light harvesting complex 2. Strain S1T can grow on carbon monoxide as sole energy source. With currently over 1,750 PubMed entries, R. rubrum is one of the most intensively studied microbial species, in particular for physiological and genetic studies. Next to R. centenum strain SW, the genome sequence of strain S1T is only the second genome of a member of the genus Rhodospirillum to be published, but the first type strain genome from the genus. The 4,352,825 bp long chromosome and 53,732 bp plasmid with a total of 3,850 protein-coding and 83 RNA genes were sequenced as part of the DOE Joint Genome Institute Program DOEM 2002.

Keywords: facultatively anaerobic, photolithotrophic, mesophile, Gram-negative, motile, Rhodospirillaceae, Alphaproteobacteria, DOEM 2002.

Munk et al.
Introduction

Strain S1T (= ATCC 11170 = DSM 467) is the neotype strain of the species Rhodospirillum rubrum, which is the type species of the genus Rhodospirillum. The genus name is derived from the ancient Greek term rhodon, meaning rose, and the Latin spira, meaning coil. Rubrum is Latin for red. Currently R. rubrum is one out of only four species with a validly described name in this genus. Strain S1T (van Niel) was designated as the neotype strain for R. rubrum by Pfennig and Trüper in 1971 [1], with the description of the strain in complete agreement with the species description given by van Niel in 1944 [2] for the initial deposition at the American Type Culture Collection (ATCC). A comparative genomic analysis with the only other publicly available rhodospirillal genome was recently published by Lu et al. [3]. Here we present a summary classification and a set of features for R. rubrum S1T, together with the description of the complete genomic sequencing and annotation.

Classification and features

Figure 1 shows the phylogenetic neighborhood of R. rubrum S1T in a 16S rRNA based tree. The sequences of the four 16S rRNA gene copies in the genome do not differ from each other, and do not differ from the previously published 16S rRNA sequence (X87278), which contains two ambiguous base calls.

Figure 1
Figure 1
Figure 1

Phylogenetic tree highlighting the position of R. rubrum S1T relative to the other type strains within the family Rhodospirillaceae. The 16S rRNA accessions were selected from the most recent release of the All-Species-Living-Tree-Project [4] as far as possible. The tree was inferred from 1,361 aligned characters [5,6] of the 16S rRNA gene sequence under the maximum likelihood criterion [7]. Rooting was done initially using the midpoint method [8] and then checked for its agreement with the current classification (Table 1). The branches are scaled in terms of the expected number of substitutions per site. Numbers to the right of bifurcations are support values from 550 bootstrap replicates [9] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [10] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks.


Table 1: Classification and general features of R. rubrum according to the MIGS recommendations [11].
MIGS ID     Property     Term    Evidence code
    Current classification     Domain Bacteria    TAS [12]
    Phylum ‘Proteobacteria    TAS [13]
    Class Alphaproteobacteria    TAS [14,15]
    Order Rhodospirillales    TAS [16,17]
    Family Rhodospirillaceae    TAS [16,17]
    Genus Rhodospirillum    TAS [17-21]
    Species Rhodospirillum rubrum    TAS [17,18,22]
    Type strain S1    TAS [1,2]
    Gram stain     negative    NAS
    Cell shape     spiral-shaped    TAS [1]
    Motility     motile    TAS [1]
    Sporulation     not reported
    Temperature range     mesophile    NAS
    Optimum temperature     25-30°C    NAS
    Salinity     not reported
MIGS-22     Oxygen requirement     facultative anaerobe    TAS [2]
    Carbon source     numerous 1- and multi-C compounds    TAS [2]
    Energy metabolism     photolithotroph, photoautotroph, aerobic heterotroph,
    fermentation carbon monoxide
   TAS [2,23]
MIGS-6     Habitat     fresh water    NAS
MIGS-15     Biotic relationship     free living    NAS
MIGS-14     Pathogenicity     none    NAS
    Biosafety level     1    TAS [24]
    Isolation     not reported
MIGS-4     Geographic location     not reported
MIGS-5     Sample collection time     1941    TAS [2]
MIGS-4.1
MIGS-4.2
    Latitude
    Longitude
    not reported
MIGS-4.3     Depth     not reported
MIGS-4.4     Altitude     not reported

Evidence codes - IDA: Inferred from Direct Assay (first time in publication); 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 of the Gene Ontology project [25]. If the evidence code is IDA, the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.

A representative genomic 16S rRNA sequence of strain S1T was compared using NCBI BLAST under default settings (e.g., considering only the high-scoring segment pairs (HSPs) from the best 250 hits) with the most recent release of the Greengenes database [26] and the relative frequencies, weighted by BLAST scores, of taxa and keywords (reduced to their stem [27]) were determined. The five most frequent genera were Rhizobium (41.6%), Rhodospirillum (30.8%), Aquaspirillum (6.2%), Rhodocista (4.2%) and Novosphingobium (3.5%) (130 hits in total). Regarding the 16 hits to sequences from members of the species, the average identity within HSPs was 98.5%, whereas the average coverage by HSPs was 97.8%. Regarding the five hits to sequences from other members of the genus, the average identity within HSPs was 95.3%, whereas the average coverage by HSPs was 95.0%. Among all other species, the one yielding the highest score was Rhodospirillum photometricum, which corresponded to an identity of 96.0% and an HSP coverage of 96.9%. (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 AM691104 ('Rhodobacteraceae clone EG16'), which showed an identity of 91.7% and an HSP coverage of 97.2%. The five most frequent keywords within the labels of environmental samples which yielded hits were 'ocean' (2.5%), 'microbi' (2.4%), 'soil' (2.1%), 'skin' (1.8%) and 'aquat/rank' (1.8%) (120 hits in total). Environmental samples which yielded hits of a higher score than the highest scoring species were not found.

Cells of R. rubrum stain Gram-negative, are motile, vibrioid to short spiral-shaped with a size of 0.8-1 µm (Figure 2). Colonies are purple-colored because the cells contain a carotenoid pigment required to gather light energy for photosynthesis. R. rubrum does not produce oxygen, but elemental sulfur as a by-product of photosynthesis, using bacteriochlorophyll, which enables the absorbtion of light at wavelengths longer than those absorbed by plants. Strain S1T is a facultative anaerobe that uses alcoholic fermentation under low oxygen conditions, but respiration under aerobic conditions. Photosynthesis is genetically suppressed under aerobic conditions; R. rubrum is colorless under these conditions. The regulation of the photosynthetic machinery is still poorly understood, though the organism is phototactic [28]. The RuBisCO (Ribulose-1,5-bisphosphate carboxylase oxygenase) of R. rubrum is highly unusual in its simplicity as a homodimer [29].

Figure 2
Figure 2
Figure 2

Scanning Electron micrograph of R. rubrum S1T generated from a culture of DSM 467


R. rubrum is a well-established model organism for studies on nitrogen fixation and the organism possesses two related but distinct nitrogenase systems that utilize distinct metals at the active site [30]. The post-translational regulation of nitrogenase in R. rubrum is relatively unusual in that it utilizes a reversible ADP-ribosylation process [31-35]. The organism has also been used to study bacterial growth on carbon monoxide as an energy source [23], and its carbon monoxide sensor, termed CooA, has been the paradigm for such sensors [36]. R. rubrum provides several potential biotechnological applications, e.g. the accumulation of PHB precursors for plastic production in the cell, as well as the production of hydrogen fuel.

Chemotaxonomy

The composition of the R. rubrum cell wall has previously been reported in various publications. The main fatty acids of strain S1T are unbranched, with unsaturated acids C16:1 w7c (34.1%), C18:1 w7c/12t/9t (32.8%) and C18:1 2OH (6.9%) dominating over a minority of saturated acids: C16:0 (11.6%) and C14:0 (4.0%) [analyzed with a culture of CCUG 17859, www.ccug.se].

Genome sequencing and annotation
Genome project history

This organism was selected for sequencing on the basis of the DOE Joint Genome Institute Program DOEM 2002. The genome project is deposited in the Genomes On Line Database [10] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI). A summary of the project information is shown in Table 2.

Table 2: Genome sequencing project information
MIGS ID    Property     Term
MIGS-31    Finishing quality     Finished
MIGS-28    Libraries used     Two genomic Sanger libraries: 3 kb pUC18c library, fosmid (40 kb) library
MIGS-29    Sequencing platforms     ABI3730
MIGS-31.2    Sequencing coverage     11.0 × Sanger
MIGS-30    Assemblers     phrap
MIGS-32    Gene calling method     Critica complemented with the output of Glimmer
   INSDC ID     CP000230 (chromosome)
    CP000231 (plasmid)
   GenBank Date of Release     December 13, 2005
   GOLD ID     Gc00396
   NCBI project ID     58
   Database: IMG     637000241
MIGS-13    Source material identifier     ATCC 11170
   Project relevance     Bioenergy
Strain history

The history of strain S1T starts with C. B. van Niel (strain ATH 1.1.1, probably 1941) → S.R. Elsden strain S1 → NCI(M)B 8255 → ATCC 11170, from which later on DSM 467, LMG 4362 and CCRC 16403 were derived.

Growth conditions and DNA isolation

The culture of strain S1T, ATCC 11170, used to prepare genomic DNA (gDNA) for sequencing was only 3 transfers away from the original deposit. The culture used to prepare genomic DNA (gDNA) for sequencing, was purified from the original deposit on rich SMN [37] plates, and then grown in SMN liquid medium aerobically. MasterPure Genomic DNA Purification Kit from Epicentre (Madison, WI) was used for total DNA isolation from R. rubrum, with a few minor modifications as described previously [38]. One-half to 1 ml of cells was used for DNA isolation. After isopropanol precipitation, DNA was resuspended in 500 µl of 0.1 M sodium acetate and 0.05 M MOPS (pH 8.0), then reprecipitated with 2 volume of ethanol. This step was repeated twice and significantly improved the quality of DNA. The purity, quality and size of the bulk gDNA preparation were assessed by JGI according to DOE-JGI guidelines.

Genome sequencing and assembly

The genome was sequenced using the Sanger sequencing platform (3 kb and 40 kb DNA libraries). All general aspects of library construction and sequencing performed at the JGI can be found at [39]. The Phred/Phrap/Consed [40] software package was used for sequence assembly and quality assessment. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with Dupfinisher or transposon bombing of bridging clones (Epicentre Biotechnologies, Madison, WI) [41]. Gaps between contigs were closed by editing in Consed, custom primer walk or PCR amplification. A total of 847 additional custom primer reactions were necessary to close gaps and to raise the quality of the finished sequence. The completed genome sequence contains 62,976 reads, achieving an average of 11-fold sequence coverage with an error rate of less than 1 in 50,000.

Genome annotation

Genes were identified using two gene modeling programs, Glimmer [42] and Critica [43] as part of the Oak Ridge National Laboratory genome annotation pipeline. The two sets of gene calls were combined using Critica as the preferred start call for genes with the same stop codon. Genes with less than 80 amino acids which were predicted by only one of the gene callers and had no Blast hit in the KEGG database at 1e-05, were deleted. This was followed by a round of manual curation to eliminate obvious overlaps. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. These data sources were combined to assert a product description for each predicted protein. Non-coding genes and miscellaneous features were predicted using tRNAscan-SE [44], TMHMM [45], and signalP [46]. Additional gene prediction analysis and manual functional annotation was performed within the Integrated Microbial Genomes (IMG) platform developed by the Joint Genome Institute, Walnut Creek, CA, USA [47].

Genome properties

The genome consists of a 4,352,825 bp long chromosome with a 65% G+C content and a 53,732 bp plasmid with 60% G+C content (Table 3 and Figure 3). Of the 3,933 genes predicted, 3,850 were protein-coding genes, and 83 RNAs; nine pseudogenes were also identified. The majority of the protein-coding genes (72.7%) 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.

Table 3: Genome Statistics
Attribute    Value    % of Total
Genome size (bp)    4,406,557    100.00%
DNA coding region (bp)    3,911,312    88.76%
DNA G+C content (bp)    2,880,951    65.38%
Number of replicons    2
Extrachromosomal elements    1
Total genes    3,933    100.00%
RNA genes    83    2.11%
rRNA operons    4
Protein-coding genes    3,850    97.89%
Pseudo genes    9    0.23%
Genes with function prediction    2,861    72.74%
Genes in paralog clusters    518    13.17%
Genes assigned to COGs    3,048    77.50%
Genes assigned Pfam domains    3,235    82.25%
Genes with signal peptides    776    19.73%
Genes with transmembrane helices    734    18.66%
CRISPR repeats    13
Figure 3
Figure 3
Figure 3

Graphical circular map of the chromosome (plasmid map not shown). From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.


Table 4: Number of genes associated with the general COG functional categories
Code    value   %age   Description
J    159   4.6   Translation, ribosomal structure and biogenesis
A    1   0.0   RNA processing and modification
K    236   6.9   Transcription
L    136   4.0   Replication, recombination and repair
B    2   0.1   Chromatin structure and dynamics
D    36   0.9   Cell cycle control, cell division, chromosome partitioning
Y    0   0.0   Nuclear structure
V    56   1.6   Defense mechanisms
T    271   7.9   Signal transduction mechanisms
M    204   5.9   Cell wall/membrane biogenesis
N    121   3.5   Cell motility
Z    0   0.0   Cytoskeleton
W    0   0.0   Extracellular structures
U    69   2.1   Intracellular trafficking and secretion, and vesicular transport
O    127   3.7   Posttranslational modification, protein turnover, chaperones
C    228   6.6   Energy production and conversion
G    173   5.0   Carbohydrate transport and metabolism
E    341   9.9   Amino acid transport and metabolism
F    69   2.0   Nucleotide transport and metabolism
H    160   4.7   Coenzyme transport and metabolism
I    126   3.7   Lipid transport and metabolism
P    222   6.5   Inorganic ion transport and metabolism
Q    67   2.0   Secondary metabolites biosynthesis, transport and catabolism
R    367   10.7   General function prediction only
S    261   7.6   Function unknown
-    885   22.5   Not in COGs
Acknowledgements

We would like to gratefully acknowledge the help of Brian J. Tindall and his team (DSMZ) for growing a R. rubrum culture for the EM image. The work conducted by the U.S. Department of Energy Joint Genome Institute was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and was also supported by NIGMS grant GM65891 to G. P. R.

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Acknowledgements

We would like to gratefully acknowledge the support of many members of the Genomic Standards Consortium, the broader genomic science community, and those who have indicated their willingness to serve as editors, reviewers and contributors.

SIGS was founded with grants from the Office of the Vice President for Research and Graduate Studies at Michigan State University, the Michigan State University Foundation, and the US Department of Energy Biological and Environmental Research DE-FG02-08ER64707. The journal became self-supporting on October 1, 2011.

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