Non-contiguous finished genome sequence of Phocaeicola abscessus type strain 7401987T
© The Author(s) 2013
Published: 20 December 2013
Phocaeicola abscessus strain 7401987T is the sole member of the genus Phocaeicola. This bacterium is Gram-negative, non-spore-forming, coccoid to rod-shaped and motile by lophotrichous flagella. It was isolated from a human brain abscess sample. In this work, we describe a set of features of this organism, together with the complete genome sequence and annotation. The 2,530,616 bp long genome contains 2,090 protein-coding genes and 54 RNA genes, including 4 rRNA operons.
KeywordsCorynebacterium timonense Actinobacteria
Phocaeicola abscessus strain 7401987T(CSUR P22T= DSM 21584T= CCUG 55929T) is the type strain of P. abscessus. This bacterium was isolated from a brain abscess sample from a 76-year-old patient who underwent neurosurgical intervention after cancer of the face . It is a Gram-negative strictly anaerobic coccoid to rod-shaped bacterium. Currently, the genus Phocaeicola contains only one species .
Here we present a summary classification and a set of features for P. abscessus, together with the description of the non-contiguous finished genomic sequencing and annotation.
Classification and features
Classification and general features of Phocaeicola abscessus strain 7401987T
Species Phocaeicola abscessus
Human brain abscess
Sample collection time
21 m above sea level
Genome sequencing and annotation
Genome project history
One paired end 3-kb library and one Shotgun library
454 GS FLX Titanium
Newbler version 2.5.3
Gene calling method
EMBL Date of Release
February 12, 2012
Study of new species isolated in the URMITE
Growth conditions and DNA isolation
P. abscessus strain 7401987T, was grown anaerobically on chocolate agar at 37°C. Ten petri dishes were spread and resuspended in 3 ml of TE buffer. Three hundred µl of 10% SDS and 150 µl of proteinase K were then added and incubation was performed overnight at 56°C. The DNA was then extracted using the phenol/chloroform method. The yield and the concentration was measured by the Quant-it Picogreen kit (Invitrogen) on the Genios Tecan fluorometer at 88 ng/µl.
Genome sequencing and assembly
Shotgun and 3-kb paired-end sequencing strategies were performed. The shotgun library was constructed with 500 ng of DNA with a GS Rapid library Prep kit (Roche). For the paired-end sequencing, 5 µg of DNA was mechanically fragmented on a Hydroshear device (Digilab) with an enrichment size at 3–4 kb. The DNA fragmentation was visualized using a 2100 BioAnalyzer (Agilent) on a DNA labchip 7500 with an optimal size of 3.1 kb. The library was constructed according to the 454 GS FLX Titanium paired-end protocol. Circularization and nebulization were performed and generated a pattern with an optimal size of 579 bp. After PCR amplification through 17 cycles followed by double size selection, the single stranded paired-end library was then quantified using a Genios fluorometer (Tecan) at 8,770 pg/µL. The library concentration equivalence was calculated as 1.39E+10 molecules/µL. The library was stored at −20°C until further use.
The shotgun and paired-end libraries were clonally-amplified with 0.5 cpb and 2 cpb in 3 and 2 SV-emPCR reactions with the GS Titanium SV emPCR Kit (Lib-L) v2 (Roche). The yields of the emPCR were 9.63% and 10.3%, respectively, in the 5 to 20% range from the Roche procedure. Approximately 790,000 beads for the shotgun application and for the 3kb paired end were loaded on a GS Titanium PicoTiterPlate PTP Kit 70x75 and sequenced with a GS FLX Titanium Sequencing Kit XLR70 (Roche). The run was performed overnight and then analyzed on the cluster through the gsRunBrowser and Newbler assembler (Roche). A total of 311,276 passed filter wells were obtained and generated 35.9 Mb with a length average of 282 bp. The passed filter sequences were assembled using Newbler with 90% identity and 40 bp as overlap. The final assembly identified 9 scaffolds and 39 contigs (>500 bp).
Open Reading Frames (ORFs) were predicted using Prodigal  with default parameters but the predicted ORFs were excluded if they were spanning a sequencing GAP region. The predicted bacterial protein sequences were searched against the GenBank database  and the Clusters of Orthologous Groups (COG) databases  using BLASTP. The tRNAscan-SE tool  was used to find tRNA genes, whereas ribosomal RNAs were found by using RNAmmer . Transmembrane domains and signal peptides were predicted using TMHMM  and SignalP , respectively. ORFans of alignment length greater than 80 amino acids were identified if their BLASTp E-value was lower than 1e-03. If alignment lengths were smaller than 80 amino acids, we used an E-value of 1e-05. Such parameter thresholds have been used in previous works to define ORFans.
To estimate the mean level of nucleotide sequence similarity at the genome level between P. abscessus and Prevotella timonensis, Bacteroides thetaiotaomicron and Paraprevotella clara, we compared the ORFs using only comparison sequences in the RAST server  at a query coverage of ≥70% and a minimum nucleotide length of 100 bp.
Nucleotide content and gene count levels of the genome
% of totala
Genome size (bp)
DNA coding region (bp)
DNA G+C content (bp)
Genes with function prediction
Genes assigned to COGs
Genes with peptide signals
Genes with transmembrane helices
Number of genes associated with the 25 general COG functional categories
RNA processing and modification
Replication, recombination and repair
Chromatin structure and dynamics
Cell cycle control, mitosis and meiosis
Signal transduction mechanisms
Cell wall/membrane biogenesis
Intracellular trafficking and secretion
Posttranslational modification, protein turnover, chaperones
Energy production and conversion
Carbohydrate transport and metabolism
Amino acid transport and metabolism
Nucleotide transport and metabolism
Coenzyme transport and metabolism
Lipid transport and metabolism
Inorganic ion transport and metabolism
Secondary metabolites biosynthesis, transport and catabolism
General function prediction only
Not in COGs
Comparison with other genomes
Phocaeicola abscessus is the sole bacterium included in the genus Phocaeicola. We compared the genome of P. abscessus with those of Prevotella timonensis (CBQQ010000001) Paraprevotella clara (AFFY01000000) and Bacteroides thetaiotaomicron (AE015928.1). P. abscessus showed a mean nucleotide sequence similarity of 76.40%, 77.06% and 77.52% at the genome level (range 70–92.25%, 70.04–95.51% and 70.04–93.02%) with P. timonensis, P. clara and B. thetaiotaomicron, respectively. Presently, the family to which P. abscessus belongs is undetermined and the sole comparison based on nucleotide sequence similarity may not be sufficient to answer this question. In the future, further comparison of the genomes will allow us to find traits to classify the genus Phocaeicola in one of these 3 families or to create a new family, the family Phocaeicolaceae.
The authors thank Mr. Julien Paganini at Xegen Company (www.xegen.fr) for automating the genomic annotation process and Laetitia Pizzo for her technical assistance.
- Al Masalma M, Raoult D, Roux V. Phocaeicola abscessus gen. nov., sp. nov., an anaerobic bacterium isolated from a human brain abscess sample. Int J Syst Evol Microbiol 2009; 59:2232–2237. PubMed http://dx.doi.org/10.1099/ijs.0.007823-0View ArticlePubMedGoogle Scholar
- Euzéby JP. List of Bacterial Names with Standing in Nomenclature: a folder available on the Internet. Int J Syst Bacteriol 1997; 47:590–592. PubMed http://dx.doi.org/10.1099/00207713-47-2-590View ArticlePubMedGoogle Scholar
- Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol Biol Evol 2011; 28:2731–2739. PubMed http://dx.doi.org/10.1093/molbev/msr121PubMed CentralView ArticlePubMedGoogle Scholar
- Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya. Proc Natl Acad Sci USA 1990; 87:4576–4579. PubMed http://dx.doi.org/10.1073/pnas.87.12.4576PubMed CentralView ArticlePubMedGoogle Scholar
- Validation List No. 143. Int J Syst Evol Microbiol 2012; 62:1–4.
- Krieg NR, Ludwig W, Euzéby J, Whitman WB. Phylum XIV. Bacteroidetes phyl. nov. In: Krieg NR, Staley JT, Brown DR, Hedlund BP, Paster BJ, Ward NL, Ludwig W, Whitman WB (eds), Bergey’s Manual of Systematic Bacteriology, Second Edition, Volume 4, Springer, New York, 2011, p. 25.Google Scholar
- Krieg NR. Class I. Bacteroidia class. nov. In: Krieg NR, Staley JT, Brown DR, Hedlund BP, Paster BJ, Ward NL, Ludwig W, Whitman WB (eds), Bergey’s Manual of Systematic Bacteriology, Second Edition, Volume 4, Springer, New York, 2011, p. 25.Google Scholar
- Krieg NR. Order I. Bacteroidales ord. nov. In: Krieg NR, Staley JT, Brown DR, Hedlund BP, Paster BJ, Ward NL, Ludwig W, Whitman WB (eds), Bergey’s Manual of Systematic Bacteriology, Second Edition, Volume 4, Springer, New York, 2011, p. 25.Google Scholar
- Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000; 25:25–29. PubMed http://dx.doi.org/10.1038/75556PubMed CentralView ArticlePubMedGoogle Scholar
- Prodigal http://prodigal.ornl.gov/
- GenBank database. http://www.ncbi.nlm.nih.gov/genbank
- Tatusov RL, Galperin MY, Natale DA, Koonin EV. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic Acids Res 2000; 28:33–36. PubMed http://dx.doi.org/10.1093/nar/28.1.33PubMed CentralView ArticlePubMedGoogle Scholar
- Lowe TM, Eddy SR. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 1997; 25:955–964. PubMedPubMed CentralView ArticlePubMedGoogle Scholar
- Lagesen K, Hallin P, Rodland EA, Staerfeldt HH, Rognes T, Ussery DW. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 2007; 35:3100–3108. PubMed http://dx.doi.org/10.1093/nar/gkm160PubMed CentralView ArticlePubMedGoogle Scholar
- Krogh A, Larsson B, von Heijni G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 2001; 305:567–580. PubMed http://dx.doi.org/10.1006/jmbi.2000.4315View ArticlePubMedGoogle Scholar
- Bendtsen JD, Nielsen H, von Heijne G, Brunak S. Improved prediction of signal peptides: SignalP 3.0. J Mol Biol 2004; 340:783–795. PubMed http://dx.doi.org/10.1016/j.jmb.2004.05.028View ArticlePubMedGoogle Scholar
- Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, et al. The RAST Server: Rapid Annotations using Subsystems Technology. BMC Genomics 2008; 9:75–89. PubMed http://dx.doi.org/10.1186/1471-2164-9-75PubMed CentralView ArticlePubMedGoogle Scholar