Literature DB >> 21304644

Complete genome sequence of Cryptobacterium curtum type strain (12-3).

Konstantinos Mavrommatis, Rüdiger Pukall, Christine Rohde, Feng Chen, David Sims, Thomas Brettin, Cheryl Kuske, John C Detter, Cliff Han, Alla Lapidus, Alex Copeland, Tijana Glavina Del Rio, Matt Nolan, Susan Lucas, Hope Tice, Jan-Fang Cheng, David Bruce, Lynne Goodwin, Sam Pitluck, Galina Ovchinnikova, Amrita Pati, Natalia Ivanova, Amy Chen, Krishna Palaniappan, Patrick Chain, Patrik D'haeseleer, Markus Göker, Jim Bristow, Jonathan A Eisen, Victor Markowitz, Philip Hugenholtz, Manfred Rohde, Hans-Peter Klenk, Nikos C Kyrpides.   

Abstract

Cryptobacterium curtum Nakazawa etal. 1999 is the type species of the genus, and is of phylogenetic interest because of its very distant and isolated position within the family Coriobacteriaceae. C. curtum is an asaccharolytic, opportunistic pathogen with a typical occurrence in the oral cavity, involved in dental and oral infections like periodontitis, inflammations and abscesses. Here we describe the features of this organism, together with the complete genome sequence, and annotation. This is the first complete genome sequence of the actinobacterial family Coriobacteriaceae, and this 1,617,804 bp long single replicon genome with its 1364 protein-coding and 58 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Entities:  

Keywords:  Coriobacteriaceae; anaerobic; asaccharolytic; non-spore-former; opportunistic pathogenic; oral infections; periodontitis

Year:  2009        PMID: 21304644      PMCID: PMC3035227          DOI: 10.4056/sigs.12260

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


Introduction

Strain 12-3T (= DSM 15641 = ATCC 700683 = CCUG 43107) is the type strain of Cryptobacterium curtum, which is the sole species within the genus Cryptobacterium [1]. C. curtum was described by Nakazawa et al. in 1999 [1]. The organism is of significant interest because of its position in the tree of life where it was initially wrongly placed close to Eubacterium (Firmicutes) to be then relocated in the phylum Actinobacteria, close to the Coriobacteriaceae [1]. Here we present a summary classification and a set of features for C. curtum 12-3T, together with the description of the complete genomic sequencing and annotation.

Classification and features

The type strain 12-3T and a second strain of the species, KV43-B, both classified in C. curtum were isolated from a periodontal pocket sample of an adult patient and from necrotic dental pulp, respectively [1]. C. curtum can also be isolated from human oral and dental infections like pulpal inflammations, advanced caries [1], dental abscesses or periodontitis [2]. 16S rRNA gene sequence analysis revealed that the two isolates represent a distinct lineage within the family Coriobacteriaceae, between the neighboring genera Eggerthella and Slackia (Figure 1). No significant matches with any 16S rRNA sequences from environmental genomic samples and surveys are reported at the NCBI BLAST server (February 2009).
Figure 1

Phylogenetic tree of C. curtum 12-3T and most type strains of the family Coriobacteriaceae, inferred from 1422 aligned 16S rRNA characters [3,4] under the maximum likelihood criterion [5]. The tree was rooted with type strains of the genera Collinsella and Coriobacterium. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 1000 bootstrap replicates if larger than 60%. Strains with a genome sequencing project registered in GOLD [6] are printed in blue; published genomes in bold, including two of which are reported in this issue of SIGS [7,8]

Phylogenetic tree of C. curtum 12-3T and most type strains of the family Coriobacteriaceae, inferred from 1422 aligned 16S rRNA characters [3,4] under the maximum likelihood criterion [5]. The tree was rooted with type strains of the genera Collinsella and Coriobacterium. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 1000 bootstrap replicates if larger than 60%. Strains with a genome sequencing project registered in GOLD [6] are printed in blue; published genomes in bold, including two of which are reported in this issue of SIGS [7,8] The very short and non-motile rods form tiny translucent colonies of less than 1 mm in diameter on BHI-blood agar without hemolysis after prolonged incubation under strictly anaerobic conditions (Table 1). Transmission electron micrographs of ultrathin sections of C. curtum 12-3T showed a single-layered Gram-positive cell wall of approximately 10 nm thickness (Figure 2) [1]. Carbohydrates are not metabolized; the species is asaccharolytic [1]. C. curtum is non-reactive in most biochemical tests. The human oral cavity contains arginine and other amino acids and oligopeptides due to proteinase and peptidase activities. C. curtum degrades arginine through arginine deiminase pathway [15]. Like Slackia exigua, a closely related species, these bacteria are very difficult to cultivate. Optimal doubling time is 12 hours [15]. There are no chemotaxonomic data available to C. curtium strain 12-3T.
Table 1

Classification and general features of C. curtum 12-3T according to the MIGS recommendations [9]

MIGS IDPropertyTermEvidence code
Current classificationDomain BacteriaTAS [10]
Phylum ActinobacteriaTAS [11]
Class ActinobacteriaTAS [12]
Order CoriobacterialesTAS [12]
Family CoriobacteriaceaeTAS [12]
Genus CryptobacteriumTAS [1]
Species Cryptobacterium curtumTAS [1]
Type strain 12-3TAS [1]
Gram stainpositiveTAS [1]
Cell shapevery short rodsTAS [1]
MotilitynonmotileTAS [1]
Sporulationnon-sporulatingTAS [1]
Temperature rangemesophileTAS [1]
Optimum temperature37°CNAS
SalinitynormalTAS [1]
MIGS-22Oxygen requirementobligate anaerobicTAS [1]
Carbon sourceasaccharolyticTAS [1]
Energy sourcearginine, lysineNAS
MIGS-6Habitathuman oral microfloraTAS [1]
MIGS-15Biotic relationshipfree living, growth on enzymatic degradation products of inflamed tissuesNAS
MIGS-14Pathogenicityperiodontal infectionsTAS [1]
Biosafety level1 (+)TAS [13]
Isolationinfected human oral cavityTAS [1]
MIGS-4Geographic locationnot reportedNAS
MIGS-5Sample collection timeabout 1995TAS [1]
MIGS-4.1 MIGS-4.2Latitude – Longitudenot reported
MIGS-4.3Depthnot reported
MIGS-4.4Altitudenot 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 the Gene Ontology project [14]. If the evidence code is IDA, then the property was directly observed for a live isolate by one of the authors, or an expert or reputable institution mentioned in the acknowledgements.

Figure 2

Scanning electron micrograph of C. curtum 12-3 T

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 the Gene Ontology project [14]. If the evidence code is IDA, then the property was directly observed for a live isolate by one of the authors, or an expert or reputable institution mentioned in the acknowledgements. Scanning electron micrograph of C. curtum 12-3 T Figure 1 shows the phylogenetic neighborhood of C. curtum strain 12-3T in a 16S rRNA based tree. Analysis of the three 16S rRNA gene sequences in the genome of strain 12-3T indicated that the genes differ by at most one nucleotide from each other, but differ by 15 nucleotides and eight ambiguities (1.1%) from the previously published 16S rRNA sequence generated from DSM 15641 (AB019260). The higher sequence coverage and overall improved level of sequence quality in whole-genome sequences, as compared to ordinary gene sequences, implies that the significant differences between the genome data and the reported 16S rRNA gene sequence might be due to sequencing errors in the previously reported sequence data.

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of each phylogenetic position, and is part of the enomic ncyclopedia of acteria and rchaea project [16]. The genome project is deposited in the Genome OnLine Database [6] and the complete genome sequence 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 IDPropertyTerm
MIGS-31Finishing qualityFinished
MIGS-28Libraries usedThree genomic libraries: two Sanger libraries - 8 kb pMCL200 and fosmid pcc1Fos - andone 454 pyrosequence standard library
MIGS-29Sequencing platformsABI3730, 454 GS FLX
MIGS-31.2Sequencing coverage12.9× Sanger; 20× pyrosequence
MIGS-30AssemblersNewbler version 1.1.02.15, phrap
MIGS-32Gene calling methodGenemark 4.6b, tRNAScan-SE-1.23, infernal 0.81, GenePRIMP
INSDC / Genbank IDCP001682
Genbank Date of ReleaseAugust 26, 2009
GOLD IDGc01086
NCBI Project ID20739
Database: IMG-GEBA2500901758
MIGS-13Source material identifierDSM 15641
Project relevanceTree of Life, GEBA

Growth conditions and DNA isolation

C. curtum strain 12-3T, DSM 15641, was grown anaerobically in DSMZ medium 78 (Chopped Meat Medium) [17], supplemented with 1 g/l arginine, at 37°C. DNA was isolated from 1-1.5 g of cell paste using Qiagen Genomic 500 DNA Kit (Qiagen, Hilden, Germany) with protocol modification st/FT [16] for cell lysis.

Genome sequencing and assembly

The genome was sequenced using a combination of Sanger and 454 sequencing platforms. All general aspects of library construction and sequencing performed at the JGI can be found at http://www.jgi.doe.gov/. 454 Pyrosequencing reads were assembled using the Newbler assembler version 1.1.02.15 (Roche). Large Newbler contigs were broken into 1,799 overlapping fragments of 1000bp and entered into assembly as pseudo-reads. The sequences were assigned quality scores based on Newbler consensus q-scores with modifications to account for overlap redundancy and to adjust inflated q-scores. A hybrid 454/Sanger assembly was made using the parallel phrap assembler (High Performance Software, LLC). Possible mis-assemblies were corrected with Dupfinisher [18] or transposon bombing of bridging clones (Epicentre Biotechnologies, Madison, WI). Gaps between contigs were closed by editing in Consed, custom primer walk or PCR amplification. 47 Sanger finishing reads were produced to close gaps, to resolve repetitive regions, and to raise the quality of the finished sequence. The error rate of the completed genome sequence is less than 1 in 100,000. Together all sequence types provided 32.9x coverage of the genome.

Genome annotation

Genes were identified using GeneMark [19] as part of the genome annotation pipeline in the Integrated Microbial Genomes Expert Review (IMG-ER) system [20], followed by a round of manual curation using the JGI GenePRIMP pipeline [21]. 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. The tRNAScanSE tool [22] was used to find tRNA genes, whereas ribosomal RNAs were found by using the tool RNAmmer [23]. Other non coding RNAs were identified by searching the genome for the Rfam profiles using INFERNAL (v0.81) [24]. Additional gene prediction analysis and manual functional annotation was performed within the Integrated Microbial Genomes (IMG) platform (http://img.jgi.doe.gov) [25].

Metabolic network analysis

The metabolic Pathway/Genome Database (PGDB) was computationally generated using Pathway Tools software version 12.5 [26] and MetaCyc version 12.5 [27], based on annotated EC numbers and a customized enzyme name mapping file. It has undergone no subsequent manual curation and may contain errors, similar to a Tier 3 BioCyc PGDB [28].

Genome properties

The genome is 1,617,804 bp long and comprises one main circular chromosome with a 50.9% GC content (Table 3 and Figure 3). Of the 1422 genes predicted, 1364 were protein coding genes, and 58 RNAs. A total of 7 pseudogenes were also identified. Among the majority of protein coding genes (78.5%) were assigned with a putative function while the remaining were annotated as hypothetical proteins. The properties and the statistics of the genome are summarized in Table 3. The distribution of genes into COG functional categories is presented in Table 4, and a cellular overview diagram is presented in Figure 4, followed by a summary of metabolic network statistics shown in Table 5.
Table 3

Genome Statistics

AttributeValue   % of Total
Genome size (bp)1,617,804
DNA Coding region (bp)1,439,29088.97%
DNA G+C content (bp)823,64950.91%
Number of replicons1
Extrachromosomal elements0
Total genes1425100.00%
RNA genes582.37%
rRNA operons3
Protein-coding genes136495.92%
Pseudo genes70.49%
Genes with function prediction111778.55%
Genes in paralog clusters775.41%
Genes assigned to COGs110377.57%
Genes assigned Pfam domains110477.64%
Genes with signal peptides27619.37%
Genes with transmembrane helices20614.46%
CRISPR repeats0
Figure 3

Graphical circular map of the genome. 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

CodeValue %Description
J1289.4   Translation, ribosomal structure and biogenesis
A10.1   RNA processing and modification
K946.9   Transcription
L745.5   Replication, recombination and repair
B10.1   Chromatin structure and dynamics
D151.1   Cell cycle control, mitosis and meiosis
Y00.0   Nuclear structure
V201.5   Defense mechanisms
T644.7   Signal transduction mechanisms
M705.1   Cell wall/membrane biogenesis
N10.1   Cell motility
Z10.1   Cytoskeleton
W00.0   Extracellular structures
U201.5   Intracellular trafficking and secretion
O554.0   Posttranslational modification, protein turnover, chaperones
C1007.3   Energy production and conversion
G413.0   Carbohydrate transport and metabolism
E967.0   Amino acid transport and metabolism
F473.4   Nucleotide transport and metabolism
H695.1   Coenzyme transport and metabolism
I392.9   Lipid transport and metabolism
P705.1   Inorganic ion transport and metabolism
Q90.7   Secondary metabolites biosynthesis, transport and catabolism
R1198.7   General function prediction only
S815.9   Function unknown
-26119.1   Not in COGs
Figure 4

Schematic cellular overview diagram of all pathways of C. curtum 12-3T. Nodes represent metabolites, with shape indicating class of metabolite. Lines represent reactions.

Table 5

Metabolic Network Statistics

Attribute     Value
Total genes1422
Enzymes316
Enzymatic reactions606
Metabolic pathways115
Metabolites506
Graphical circular map of the genome. 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. Schematic cellular overview diagram of all pathways of C. curtum 12-3T. Nodes represent metabolites, with shape indicating class of metabolite. Lines represent reactions.
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Authors:  T M Lowe; S R Eddy
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4.  Cryptobacterium curtum gen. nov., sp. nov., a new genus of gram-positive anaerobic rod isolated from human oral cavities.

Authors:  F Nakazawa; S E Poco; T Ikeda; M Sato; S Kalfas; G Sundqvist; E Hoshino
Journal:  Int J Syst Bacteriol       Date:  1999-07

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Journal:  Nature       Date:  2009-12-24       Impact factor: 49.962

6.  The minimum information about a genome sequence (MIGS) specification.

Authors:  Dawn Field; George Garrity; Tanya Gray; Norman Morrison; Jeremy Selengut; Peter Sterk; Tatiana Tatusova; Nicholas Thomson; Michael J Allen; Samuel V Angiuoli; Michael Ashburner; Nelson Axelrod; Sandra Baldauf; Stuart Ballard; Jeffrey Boore; Guy Cochrane; James Cole; Peter Dawyndt; Paul De Vos; Claude DePamphilis; Robert Edwards; Nadeem Faruque; Robert Feldman; Jack Gilbert; Paul Gilna; Frank Oliver Glöckner; Philip Goldstein; Robert Guralnick; Dan Haft; David Hancock; Henning Hermjakob; Christiane Hertz-Fowler; Phil Hugenholtz; Ian Joint; Leonid Kagan; Matthew Kane; Jessie Kennedy; George Kowalchuk; Renzo Kottmann; Eugene Kolker; Saul Kravitz; Nikos Kyrpides; Jim Leebens-Mack; Suzanna E Lewis; Kelvin Li; Allyson L Lister; Phillip Lord; Natalia Maltsev; Victor Markowitz; Jennifer Martiny; Barbara Methe; Ilene Mizrachi; Richard Moxon; Karen Nelson; Julian Parkhill; Lita Proctor; Owen White; Susanna-Assunta Sansone; Andrew Spiers; Robert Stevens; Paul Swift; Chris Taylor; Yoshio Tateno; Adrian Tett; Sarah Turner; David Ussery; Bob Vaughan; Naomi Ward; Trish Whetzel; Ingio San Gil; Gareth Wilson; Anil Wipat
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

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Authors:  Elizabeth Saunders; Rüdiger Pukall; Birte Abt; Alla Lapidus; Tijana Glavina Del Rio; Alex Copeland; Hope Tice; Jan-Fang Cheng; Susan Lucas; Feng Chen; Matt Nolan; David Bruce; Lynne Goodwin; Sam Pitluck; Natalia Ivanova; Konstantinos Mavromatis; Galina Ovchinnikova; Amrita Pati; Amy Chen; Krishna Palaniappan; Miriam Land; Loren Hauser; Yun-Juan Chang; Cynthia D Jeffries; Patrick Chain; Linda Meincke; David Sims; Thomas Brettin; John C Detter; Markus Göker; Jim Bristow; Jonathan A Eisen; Victor Markowitz; Philip Hugenholtz; Nikos C Kyrpides; Hans-Peter Klenk; Cliff Han
Journal:  Stand Genomic Sci       Date:  2009-09-28

8.  Expansion of the BioCyc collection of pathway/genome databases to 160 genomes.

Authors:  Peter D Karp; Christos A Ouzounis; Caroline Moore-Kochlacs; Leon Goldovsky; Pallavi Kaipa; Dag Ahrén; Sophia Tsoka; Nikos Darzentas; Victor Kunin; Núria López-Bigas
Journal:  Nucleic Acids Res       Date:  2005-10-24       Impact factor: 16.971

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

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Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.

Authors:  Ron Caspi; Hartmut Foerster; Carol A Fulcher; Pallavi Kaipa; Markus Krummenacker; Mario Latendresse; Suzanne Paley; Seung Y Rhee; Alexander G Shearer; Christophe Tissier; Thomas C Walk; Peifen Zhang; Peter D Karp
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2.  Ray: simultaneous assembly of reads from a mix of high-throughput sequencing technologies.

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