Open Access

Complete genome sequence of the bile-resistant pigment-producing anaerobe Alistipes finegoldii type strain (AHN2437T)

  • Konstantinos Mavromatis
  • , Erko Stackebrandt
  • , Christine Munk,
  • , Alla Lapidus
  • , Matt Nolan
  • , Susan Lucas
  • , Nancy Hammon,
  • , Shweta Deshpande,
  • , Jan-Fang Cheng
  • , Roxanne Tapia,
  • , Lynne A. Goodwin,
  • , Sam Pitluck
  • , Konstantinos Liolios
  • , Ioanna Pagani
  • , Natalia Ivanova
  • , Natalia Mikhailova
  • , Marcel Huntemann
  • , Amrita Pati
  • , Amy Chen
  • , Krishna Palaniappan
  • , Miriam Land,
  • , Loren Hauser,
  • , Manfred Rohde
  • , Sabine Gronow
  • , Markus Göker
  • , John C. Detter
  • , James Bristow
  • , Jonathan A. Eisen,
  • , Victor Markowitz
  • , Philip Hugenholtz,
  • , Nikos C. Kyrpides
  • , Hans-Peter Klenk
  • and Tanja Woyke
Corresponding author

DOI: 10.4056/sigs.3527032

Received: 15 April 2013

Accepted: 15 April 2013

Published: 15 April 2013


Alistipes finegoldii Rautio et al. 2003 is one of five species of Alistipes with a validly published name: family Rikenellaceae, order Bacteroidetes, class Bacteroidia, phylum Bacteroidetes. This rod-shaped and strictly anaerobic organism has been isolated mostly from human tissues. Here we describe the features of the type strain of this species, together with the complete genome sequence, and annotation. A. finegoldii is the first member of the genus Alistipes for which the complete genome sequence of its type strain is now available. The 3,734,239 bp long single replicon genome with its 3,302 protein-coding and 68 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.


Gram-negativerod-shapednon-sporulatingnon-motilemesophilestrictly anaerobicchemoorganotrophicRikenellaceaeGEBA


Strain AHN2437T (= DSM 17242 = CCUG 46020 = JCM 16770) is the type strain of Alistipes finegoldii [1,2]. This strain is one of several strains with similar properties [3] that were isolated mainly from pediatric patients with inflamed, gangrenous or non-inflamed appendices [4,5]. Though the type strain AHN2437T resembled members of the Bacteroides fragilis group in bile-resistance and positive indole reaction, it was found, together with the type strain of Bacteroides putredinis, to form a separate phylogenetic lineage apart from authentic Bacteroides species [1]. The genus Alistipes was established to accommodate these two species and has subsequently been enlarged to encompass three additional species with validly published names and one with an effectively published name [6,7]. According to the position in ‘The All-Species Living Tree‘ 16S rRNA gene sequence dendrogram [8], the genus Alistipes is a sister clade of Rikenella microfusus, formerly Bacteroides microfusus [9,10], the two genera constituting the family Rikenellaceae [11,12]. Here we present a summary classification and a set of features for A. finegoldii AHN2437T together with the description of the complete genomic sequencing and annotation.

Classification and features

16S rDNA gene sequence analysis

A representative genomic 16S rRNA gene sequence of A. finegoldii AHN2437T was compared using NCBI BLAST [13,14] 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 [15] and the relative frequencies of taxa and keywords (reduced to their stem [16]) were determined, weighted by BLAST scores. The most frequently occurring genera were Alistipes (84.4%) and Bacteroides (15.6%) (19 hits in total). Regarding the three hits to sequences from members of the species, the average identity within HSPs was 98.7%, whereas the average coverage by HSPs was 98.0%. Regarding the nine hits to sequences from other members of the genus, the average identity within HSPs was 96.5%, whereas the average coverage by HSPs was 100.1%. Among all other species, the one yielding the highest score was Alistipes shahii (AB554233), which corresponded to an identity of 97.2% and an HSP coverage of 100.0%. (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 AY643083 (Greengenes short name 'Isolation finegoldii blood two patients colon cancer Alistipes finegoldii; clone 3'), which showed an identity of 100.0% and an HSP coverage of 99.4%. The most frequently occurring keywords within the labels of all environmental samples which yielded hits were 'human' (11.5%), 'fecal' (8.1%), 'intestin' (5.5%), 'biopsi' (4.2%) and 'mucos' (4.0%) (231 hits in total). The most frequently occurring keywords within the labels of those environmental samples which yielded hits of a higher score than the highest scoring species were 'finegoldii' (18.2%), 'alistip, blood, cancer, colon, isol, patient, two' (9.1%) and 'fecal, human' (9.1%) (2 hits in total). These keywords are in accordance with the original isolation source of A. finegoldii.

Figure 1 shows the phylogenetic neighborhood of A. finegoldii in a 16S rRNA gene based tree. The sequences of the two 16S rRNA gene copies in the genome differ from each other by ten nucleotides, and differ by up to ten nucleotides from the previously published 16S rRNA gene sequence (AY643083).

Figure 1

Phylogenetic tree highlighting the position of A. finegoldii relative to the type strains of the other species within the family Rikenellaceae. The tree was inferred from 1,432 aligned characters [17,18] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [19]. Rooting was done initially using the midpoint method [20] 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 adjacent to the branches are support values from 1,000 ML bootstrap replicates [21] (left) and from 1,000 maximum-parsimony bootstrap replicates [22] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [23] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks. See also the species the not yet validly published names described together with their genome sequences in [6].

Table 1

Classification and general features of A. finegoldii AHN2437T according to the MIGS recommendations [24].




    Evidence code

     Domain: Bacteria

    TAS [25]

     Phylum Bacteroidetes

    TAS [12,26]

     Class Bacteroidia

    TAS [12,27]

      Current classification

     Order Bacteroidales

    TAS [12,28]

     Family Rikenellaceae

    TAS [11,12]

     Genus Alistipes

    TAS [1,2]

     Species Alistipes finegoldii

    TAS [1,2]


      Reference for biomaterial

     Rautio et al., 2003

    TAS [1]


      Subspecific genetic lineage (strain)


    TAS [1]

      Gram stain


    TAS [1]

      Cell shape


    TAS [1]



    TAS [1]



    TAS [1]

      Temperature range


    TAS [1]

      Optimum temperature


    TAS [1]


     not reported


      Relationship to oxygen

     strictly anaerobe

    TAS [1]

      Carbon source

     not reported

      Energy metabolism


    TAS [1]



     probably human gut

    TAS [1]



     not reported


      Biotic relationship



      Known pathogenicity


    TAS [1]


      Specific host

     Homo sapiens

    TAS [1]


      Health status of Host


      Biosafety level


    TAS [29]


      Trophic level




     human appendix tissue

    TAS [1]


      Geographic location

     Helsinki, Finland

    TAS [1]


      Time of sample collection





     not reported



     not reported



     not reported



     not reported

Evidence codes: 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). Evidence codes are from the Gene Ontology project [30].

Morphology and physiology

Most members of A. finegoldii were isolated on Bacteroides-bile-esculin (BBE) agar, others on kanamycin/vancomycin laked blood agar. Cells stain Gram-negative, and are non-spore forming and rod-shaped with rounded ends (0.2 x 0.8 to 2 μm), mostly occurring singly, though longer filaments are observed occasionally (Figure 2). After 4 days growth on Brucella sheep blood agar colonies are 0.3–1.0 mm in diameter, circular, gray, translucent or opaque and weakly β-hemolytic. On laked rabbit blood agar colonies are light brown after 4 days incubation, turning reddish or chocolate brown after 10 days [1,3]. Growth temperature is 37°C [31]. The organism is strictly anaerobic, indole-positive, catalase-negative and grows in peptone-yeast extract-glucose containing 20% bile [1,3]. Nitrate is not reduced to nitrite, gelatin is liquefied and esculin hydrolysis is negative. Metabolism is fermentative, however, due to scanty growth on agar media and in liquid media, carbohydrate metabolism is difficult to evaluate. In PYG broth, succinic acid is the major end product, while acetic and propionic acids are minor products; isovaleric and lactic acids are sometimes produced in very small amounts. Acid- and alkaline phosphatases, N-acetyl-β-glucosaminidase, esterase, esterase lipase, α- and β-galactosidases, and α-glucosidase are detected in the API ZYM (bioMérieux) gallery, while no activity is detected for lipase C4, leucine/valine/cystine arylamidases, trypsin, β-glucuronidase, β-glucosidase or α-mannosidase. In addition, using Rosco diagnostic tablets (Rosco, Taastrup, Denmark), α-fucosidase is detected, but not β-xylosidase or trypsin. Strains are resistant to vancomycin (5 μg), kanamycin (1,000 μg), and colistin (10 μg). Susceptibility to penicillin varies and some strains produce β-lactamase (reaction for the type strain has not been specified) [1,3].

Figure 2

Scanning electron micrograph of A. finegoldii AHN2437T

Strain AHN2437T was isolated from a human appendiceal tissue sample. The habitat is not known but strains are probably members of the microflora of the human gut [1]. A. finegoldii-type organisms were identified by molecular methods as part of the microbiota of chicken guts [32] and they were detected in blood cultures from colon cancer patients [33].


The major cellular fatty acid of strain AHN2437T is iso-C15:0; smaller amounts (with 5 to 10% occurrence) are anteiso-C15:0, C15:0, C16:0, iso-C17:0, and one or both of C17:0 iso-3OH/C18:2 DMA. The mol% G+C of DNA is 57 [1,3]. No information is available for the peptidoglycan composition, isoprenoid composition, polar lipids or whole cell sugars.

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [34], and is part of the Genomic Encyclopedia of Bacteria and Archaea project [35]. The genome project is deposited in the Genomes OnLine Database [23] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI) using state of the art sequencing technology [46]. A summary of the project information is shown in Table 2.

Table 2

Genome sequencing project information





    Finishing quality



    Libraries used

     Three genomic libraries: one 454 pyrosequence standard library,     one 454 PE library (11.0 kb insert size), one Illumina library


    Sequencing platforms

     Illumina GAii, 454 GS FLX Titanium


    Sequencing coverage

     133.3 × Illumina; 27.8 × pyrosequence



     Newbler version 2.3, Velvet version 1.0.13,     Phrap version SPS - 4.24


    Gene calling method

     Prodigal 1.4, GenePRIMP



    GenBank Date of Release

     June 8, 2012



    NCBI project ID


    Database: IMG-GEBA



    Source material identifier

     DSM 17242

    Project relevance

     Tree of Life, GEBA

Growth conditions and DNA isolation

A. finegoldii strain AHN2437T, DSM 17242, was grown anaerobically in DSMZ medium 104 (PYG, supplemented with vitamin solution (see DSMZ medium 131)) [36] at 37°C. DNA was isolated from 1-1.5 g of cell paste using MasterPure Gram-positive DNA purification kit (Epicentre MGP04100) following the standard protocol as recommended by the manufacturer with modification st/LALM for cell lysis as described in Wu et al. 2009 [35]. DNA is available through the DNA Bank Network [37].

Genome sequencing and assembly

The genome was sequenced using a combination of Illumina and 454 sequencing platforms. All general aspects of library construction and sequencing can be found at the JGI website [38]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly consisting of 103 contigs in four scaffolds was converted into a phrap [39] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (500.5 Mb) was assembled with Velvet [40] and the consensus sequences were shredded into 2.0 kb overlapped fake reads and assembled together with the 454 data. The 454 draft assembly was based on 160.8 Mb 454 draft data and all of the 454 paired end data. Newbler parameters are -consed -a 50 -l 350 -g -m -ml 20. The Phred/Phrap/Consed software package [39] was used for sequence assembly and quality assessment in the subsequent finishing process. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with gapResolution [38], Dupfinisher [41], or sequencing cloned bridging PCR fragments with subcloning. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F. Chang, unpublished). A total of 696 additional reactions and 2 shatter libraries were necessary to close gaps and to raise the quality of the finished sequence. Illumina reads were also used to correct potential base errors and increase consensus quality using a software Polisher developed at JGI [42]. The error rate of the completed genome sequence is less than 1 in 100,000. Together, the combination of the Illumina and 454 sequencing platforms provided 161.1 × coverage of the genome. The final assembly contained 324,940 pyrosequence and 13,793,104 Illumina reads.

Genome annotation

Genes were identified using Prodigal [43] as part of the DOE-JGI genome annotation pipeline [47], followed by a round of manual curation using the JGI GenePRIMP pipeline [44]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, UniProt, TIGR-Fam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was performed within the Integrated Microbial Genomes - Expert Review (IMG-ER) platform [45].

Genome properties

The genome statistics are provided in Table 3 and Figure 3. The genome consists of one circular chromosome with a total length of 3,734,239 bp and a G+C content of 56.6%. Of the 3,302 genes predicted, 3,234 were protein-coding genes, and 68 RNAs; 121 pseudogenes were also identified. The majority of the protein-coding genes (62.0%) 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



    % of Total

Genome size (bp)



DNA coding region (bp)



DNA G+C content (bp)



Number of replicons


Extrachromosomal elements


Total genes



RNA genes



rRNA operons


tRNA genes



Protein-coding genes



Pseudo genes



Genes with function prediction



Genes in paralog clusters



Genes assigned to COGs



Genes assigned Pfam domains



Genes with signal peptides



Genes with transmembrane helices



CRISPR repeats


Figure 3

Graphical map of the chromosome. 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 (purple/olive).

Table 4

Number of genes associated with the general COG functional categories








     Translation, ribosomal structure and biogenesis




     RNA processing and modification








     Replication, recombination and repair




     Chromatin structure and dynamics




     Cell cycle control, cell division, chromosome partitioning




     Nuclear structure




     Defense mechanisms




     Signal transduction mechanisms




     Cell wall/membrane biogenesis




     Cell motility








     Extracellular structures




     Intracellular trafficking and secretion, and vesicular transport




     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




     Function unknown




     Not in COGs



We would like to gratefully acknowledge the help of Sabine Welnitz for growing A. finegoldii cultures, and Evelyne-Marie Brambilla for DNA extraction and quality control (both at DSMZ). This work was performed under the auspices of the US Department of Energy Office of Science, Biological and Environmental Research Program, and by the University of California, Lawrence Berkeley National Laboratory under contract No. DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344, and Los Alamos National Laboratory under contract No. DE-AC02-06NA25396, UT-Battelle and Oak Ridge National Laboratory under contract DE-AC05-00OR22725.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


  1. Rautio M, Eerola E, Väisänen-Tunkelrott ML, Molitoris D, Lawson P, Collins MD and Jousimies-Somer H. Reclassification of Bacteroides putredinis (Weinberg et al., 1937) in a new genus Alistipes gen. nov., as Alistipes putredinis comb. nov., and description of Alistipes finegoldii sp. nov., from human sources. Syst Appl Microbiol. 2003; 26:182-188 View ArticlePubMed
  2. Validation List no. 94. Int J Syst Evol Microbiol. 2003; 53:1701-1702 View ArticlePubMed
  3. Song Y, Könönen E, Rautio M, Liu C, Bryk A, Eerola E and Finegold SM. Alistipes onderdonkii sp. nov. and Alistipes shahii sp. nov., of human origin. Int J Syst Evol Microbiol. 2006; 56:1985-1990 View ArticlePubMed
  4. Rautio M, Lönnroth M, Saxén H, Nikku R, Väisänen ML, Finegold SM and Jousimies-Somer H. Characteristics of an unusual anaerobic pigmented Gram-negative rod isolated from normal and inflamed appendices. Clin Infect Dis. 1997; 25(Suppl 2):S107-S110 View ArticlePubMed
  5. Rautio M, Saxén H, Siitonen A, Nikku R and Jousimies-Somer H. Bacteriology of histopathologically defined appedicitis in children. Pediatr Infect Dis. 2000; 19:1078-1083 View Article
  6. Mishra AK, Gimenez G, Lagier JC, Robert C, Raoult D and Fournier PE. Genome sequence and description of Alistipes senegalensis sp. nov. Stand Genomic Sci. 2012; 6:304-314 View ArticlePubMed
  7. Weinberg M, Nativelle R, Prévot AR. Les Microbes Anaérobies, Masson et Cie, Paris 1937; 1-1186.
  8. Munoz R, Yarza P, Ludwig W, Euzéby J, Amann R, Schleifer KH, Glöckner FO and Rosselló-Móra R. Release LTPs104 of the All-Species Living Tree. Syst Appl Microbiol. 2011; 34:169-170 View ArticlePubMed
  9. Collins MD, Shah HN and Mitzuoka T. Reclassification of Bacteroides microfusus (Kaneuchi and Mitsuoka) in a new genus Rikenella, as Rikenella microfusus comb. nov. Syst Appl Microbiol. 1985; 6:79-81 View Article
  10. Validation List N. ° 18. Int J Syst Evol Microbiol. 1985; 35:375-376
  11. Krieg NR, Staley JT, Brown DR, Hedlund BP, Paster BJ, Ward NL, Ludwig W, Whitman WB. Family III. Rikenellaceae fam. 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, vol. 4 (The Bacteroidetes, Spirochaetes, Tenericutes, Mollicutes), Acidobacteria, Fibrobacteres, Fusobacteria, Dictyoglomi, Gemmatimonadetes, Lentisphaerae, Verrucomicrobia, Chlamydiae, and Planctomycetes), Springer, New York, 2011 p. 54.
  12. . 143. Int J Syst Evol Microbiol. 2012; 62:1-4 View Article
  13. Altschul SF, Gish W, Miller W, Myers EW and Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990; 215:403-410PubMed
  14. Korf I, Yandell M, Bedell J. BLAST, O'Reilly, Sebastopol, 2003.
  15. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P and Andersen GL. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol. 2006; 72:5069-5072 View ArticlePubMed
  16. Porter MF. An algorithm for suffix stripping. Program: electronic library and information systems 1980; 14:130-137.
  17. Lee C, Grasso C and Sharlow MF. Multiple sequence alignment using partial order graphs. Bioinformatics. 2002; 18:452-464 View ArticlePubMed
  18. Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000; 17:540-552 View ArticlePubMed
  19. Stamatakis A, Hoover P and Rougemont J. A rapid bootstrap algorithm for the RAxML web-servers. Syst Biol. 2008; 57:758-771 View ArticlePubMed
  20. Hess PN and De Moraes Russo CA. An empirical test of the midpoint rooting method. Biol J Linn Soc Lond. 2007; 92:669-674 View Article
  21. Pattengale ND, Alipour M, Bininda-Emonds ORP, Moret BME and Stamatakis A. How many bootstrap replicates are necessary? Lect Notes Comput Sci. 2009; 5541:184-200 View Article
  22. Swofford DL. PAUP*: Phylogenetic Analysis Using Parsimony (*and Other Methods), Version 4.0 b10. Sinauer Associates, Sunderland, 2002.
  23. Pagani I, Liolios K, Jansson J, Chen IM, Smirnova T, Nosrat B, Markowitz VM and Kyrpides NC. The Genomes OnLine Database (GOLD) v.4: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res. 2012; 40:D571-D579 View ArticlePubMed
  24. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ and Angiuoli SV. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008; 26:541-547 View ArticlePubMed
  25. Woese CR, Kandler O and 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 View ArticlePubMed
  26. 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, vol. 4 (The Bacteroidetes, Spirochaetes, Tenericutes, Mollicutes), Acidobacteria, Fibrobacteres, Fusobacteria, Dictyoglomi, Gemmatimonadetes, Lentisphaerae, Verrucomicrobia, Chlamydiae, and Planctomycetes), Springer, New York, 2011 p. 25.
  27. 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, vol. 4 (The Bacteroidetes, Spirochaetes, Tenericutes, Mollicutes), Acidobacteria, Fibrobacteres, Fusobacteria, Dictyoglomi, Gemmatimonadetes, Lentisphaerae, Verrucomicrobia, Chlamydiae, and Planctomycetes), Springer, New York, 2011 p. 25.
  28. 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, vol. 4 (The Bacteroidetes, Spirochaetes, Tenericutes, Mollicutes), Acidobacteria, Fibrobacteres, Fusobacteria, Dictyoglomi, Gemmatimonadetes, Lentisphaerae, Verrucomicrobia, Chlamydiae, and Planctomycetes), Springer, New York, 2011 p. 25.
  29. BAuA. 2010, Classification of Bacteria and Archaea in risk groups. TRBA 466, p. 19.Web Site
  30. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS and Eppig JT. Gene ontology: tool for the unification of biology. Nat Genet. 2000; 25:25-29 View ArticlePubMed
  31. DSMZ catalogue of strains, Braunschweig, Germany. ()Web Site
  32. Torok VA, Hughes RJ, Mikkelsen LL, Perez-Maldonado R, Balding K, MacAlpine R, Percy NJ and Ophel-Keller K. Identification and characterization of potential performance-related gut microbiotas in broiler chickens across various feeding trials. Appl Environ Microbiol. 2011; 77:5868-5878 View ArticlePubMed
  33. Fenner L, Roux V, Ananian P and Raoult D. Alistipes finegoldii in blood cultures from colon cancer patients. Emerg Infect Dis. 2007; 13:1260-1262 View ArticlePubMed
  34. Klenk HP and Göker M. En route to a genome-based classification of Archaea and Bacteria? Syst Appl Microbiol. 2010; 33:175-182 View ArticlePubMed
  35. Wu D, Hugenholtz P, Mavromatis K, Pukall R, Dalin E, Ivanova NN, Kunin V, Goodwin L, Wu M and Tindall BJ. A phylogeny-driven genomic encyclopedia of Bacteria and Archaea. Nature. 2009; 462:1056-1060 View ArticlePubMed
  36. List of growth media used at DSMZ: Web Site
  37. Gemeinholzer B, Dröge G, Zetzsche H, Haszprunar G, Klenk HP, Güntsch A, Berendsohn WG and Wägele JW. The DNA Bank Network: the start from a German initiative. Biopreserv Biobank. 2011; 9:51-55 View Article
  38. JGI website. Web Site
  39. The Phred/Phrap/Consed software package. Web Site
  40. Zerbino DR and Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008; 18:821-829 View ArticlePubMed
  41. Han C, Chain P. Finishing repeat regions automatically with Dupfinisher. In: Proceeding of the 2006 international conference on bioinformatics & computational biology. Arabnia HR, Valafar H (eds), CSREA Press. June 26-29, 2006:141-146.
  42. Lapidus A, LaButti K, Foster B, Lowry S, Trong S, Goltsman E. POLISHER: An effective tool for using ultra short reads in microbial genome assembly and finishing. AGBT, Marco Island, FL, 2008.
  43. Hyatt D, Chen GL, LoCascio PF, Land ML, Larimer FW and Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics. 2010; 11:119 View ArticlePubMed
  44. Pati A, Ivanova NN, Mikhailova N, Ovchinnikova G, Hooper SD, Lykidis A and Kyrpides NC. GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes. Nat Methods. 2010; 7:455-457 View ArticlePubMed
  45. Markowitz VM, Ivanova NN, Chen IMA, Chu K and Kyrpides NC. IMG ER: a system for microbial genome annotation expert review and curation. Bioinformatics. 2009; 25:2271-2278 View ArticlePubMed
  46. Mavromatis K, Land ML, Brettin TS, Quest DJ, Copeland A, Clum A, Goodwin L, Woyke T, Lapidus A and Klenk HP. The fast changing landscape of sequencing technologies and their impact on microbial genome assemblies and annotation. PLoS ONE. 2012; 7:e48837; .View ArticlePubMed
  47. Mavromatis K, Ivanova NN, Chen IM, Szeto E, Markowitz VM and Kyrpides NC. The DOE-JGI Standard operating procedure for the annotations of microbial genomes. Stand Genomic Sci. 2009; 1:63-67 View ArticlePubMed