Open Access

Complete genome sequence of the hyperthermophilic chemolithoautotroph Pyrolobus fumarii type strain (1AT)

  • Iain Anderson
  • , Markus Göker
  • , Matt Nolan
  • , Susan Lucas
  • , Nancy Hammon
  • , Shweta Deshpande
  • , Jan-Fang Cheng
  • , Roxanne Tapia,
  • , Cliff Han,
  • , Lynne Goodwin,
  • , Sam Pitluck
  • , Marcel Huntemann
  • , Konstantinos Liolios
  • , Natalia Ivanova
  • , Ioanna Pagani
  • , Konstantinos Mavromatis
  • , Galina Ovchinikova
  • , Amrita Pati
  • , Amy Chen
  • , Krishna Palaniappan
  • , Miriam Land,
  • , Loren Hauser,
  • , Evelyne-Marie Brambilla
  • , Harald Huber
  • , Montri Yasawong
  • , Manfred Rohde
  • , Stefan Spring
  • , Birte Abt
  • , Johannes Sikorski
  • , Reinhard Wirth
  • , John C. Detter,
  • , Tanja Woyke
  • , James Bristow
  • , Jonathan A. Eisen,
  • , Victor Markowitz
  • , Philip Hugenholtz,
  • , Nikos C. Kyrpides
  • , Hans-Peter Klenk
  • and Alla Lapidus
Corresponding author

DOI: 10.4056/sigs.2014648

Received: 01 July 2011

Published: 01 July 2011

Abstract

Pyrolobus fumarii Blöchl et al. 1997 is the type species of the genus Pyrolobus, which belongs to the crenarchaeal family Pyrodictiaceae. The species is a facultatively microaerophilic non-motile crenarchaeon. It is of interest because of its isolated phylogenetic location in the tree of life and because it is a hyperthermophilic chemolithoautotroph known as the primary producer of organic matter at deep-sea hydrothermal vents. P. fumarii exhibits currently the highest optimal growth temperature of all life forms on earth (106°C). This is the first completed genome sequence of a member of the genus Pyrolobus to be published and only the second genome sequence from a member of the family Pyrodictiaceae. Although Diversa Corporation announced the completion of sequencing of the P. fumarii genome on September 25, 2001, this sequence was never released to the public. The 1,843,267 bp long genome with its 1,986 protein-coding and 52 RNA genes is a part of the Genomic Encyclopedia of Bacteria and Archaea project.

Keywords:

hyperthermophilechemolithoautotrophfacultative microaerophilicnon-motilehydrothermal solfataric ventsblack smokerPyrodictiaceaeGEBA

Introduction

Strain 1AT (= DSM 11204) is the type strain of the species Pyrolobus fumarii, which is the type and only species of its genus Pyrolobus [1]. The generic name derives from the Greek word pyr meaning fire and the Greek word lobos meaning lobe, referring to fire lobe. The species epithet is derived from the Latin word fumarii meaning of the chimney, referring to its black smoker biotope [1]. Strain 1AT was isolated from a black smoker wall, TAG site, Mid Atlantic Ridge [2], effectively published in 1997 [1] and validly published in 1999 [3]. It is thus far the most heat-tolerant, and also most heat-requiring of all validly named prokaryotic species. P. fumarii appears to be the primary producer of organic material in such deep-sea hydrothermal vent habitats [1]. At the time of its discovery, P. fumarii extended the upper temperature limit for life to 113°C [1]. A more recent report on a not yet validly named and incompletely characterized iron-reducing archaeon, known only as ‘Strain 121’ appears to extend the upper growth temperature to 121°C, which is well within standard autoclaving temperatures [4]. Here we present a summary classification and a set of features for P. fumarii strain 1AT, together with the description of the complete genomic sequencing and annotation.

Classification and features

The single genomic 16S rRNA sequence of strain 1AT was compared using NCBI BLAST [5] 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 [6] and the relative frequencies of taxa and keywords (reduced to their stem [7]) were determined, weighted by BLAST scores. The most frequently occurring genera were Aeropyrum (18.1%), Desulfurococcus (11.1%), Ignicoccus (9.8%), Vulcanisaeta (7.8%) and Staphylothermus (7.0%) (68 hits in total). Regarding the single hit to sequences from members of the species, the average identity within HSPs was 99.0%, whereas the average coverage by HSPs was 46.1%. Among all other species, the one yielding the highest score was Hyperthermus butylicus (NC_008818), which corresponded to an identity of 99.2% and an HSP coverage of 46.1%. (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 AB293243 ('Microbial structures around area Southern Mariana Trough hydrothermal sulfide structure clone Pcsc3A31'), which showed an identity of 96.9% and an HSP coverage of 44.7%. The most frequently occurring keywords within the labels of environmental samples which yielded hits were 'spring' (12.0%), 'hot' (7.5%), 'microbi' (7.0%), 'nation, park, yellowston' (6.2%) and 'geochem' (3.7%) (181 hits in total). Environmental samples which yielded hits of a higher score than the highest scoring species were not found. These keywords reflect some of the ecological features and properties reported for strain 1AT in the original description [1].

Figure 1 shows the phylogenetic neighborhood of P. fumarii in a 16S rRNA based tree. The sequence of the single 16S rRNA gene copy in the genome does not differ from the previously published 16S rRNA sequence (X99555), which contains eleven ambiguous base calls.

Figure 1

Phylogenetic tree highlighting the position of P. fumarii relative to the type strains of the other species within the order Desulfurococcales. The tree was inferred from 1,333 aligned characters [8,9] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [10]. Rooting was done initially using the midpoint method [11] 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 [12] (left) and from 1,000 maximum parsimony bootstrap replicates [13] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [14] are labeled with one asterisk, those also listed as 'Complete and Published' with two asterisks (see [15-21], and CP002051 for Staphylothermus hellenicus).

Cells of strain 1AT are regularly to irregularly lobed cocci with a diameter of approximately 0.7-2.5 µm (Figure 2) [1]. The strain is non-motile, non-spore-forming and facultatively microaerophilic (Table 1). Strain 1AT has a temperature range for growth between 90°C and 113°C (optimum 106°C) and is unable to propagate at a temperature of 90°C or below [1,32]. Exponentially growing cultures of P. fumarii survive even autoclaving at 121°C for one hour [1]. At the optimum growth temperature, doubling time of P. fumarii is 60 minutes [1]. The pH range for growth is 4.0-6.5, with an optimum pH of 5.5 [1]. The strain forms white colonies (1 mm in diameter) on Gelrite-containing media [1]. Like in Hyperthermus, no cell-to-cell network is formed and the S-layer exhibits a central depression, most likely a pore [1,32]. Such networks of extracellular tubules appear to be characteristic for members of the genus Pyrodictium. P. fumarii strain 1AT is able to grow on medium that contains 1%-4% NaCl, with an optimum salinity at 1.7% [1]. The organism uses CO2 as the single carbon source and H2 as the obligate electron donor [1]. The organism is tolerant to high pressure condition (25,000 kPa) [1]. Under anaerobic and microaerophilic conditions, P. fumarii is obligately chemolithoautotroph and is able to oxidize H2 coupled with NO3-, S2O32- and O2 as electron acceptors [1]. Nitrate is reduced to ammonia [1]. Organic compounds do not stimulate the growth of P. fumarii [1]. P. fumarii does not grow in media containing acetate, pyruvate, glucose, starch and elementary sulfur [1]. A highly selective enrichment method for P. fumarii in comparison to other members of the family Pyrodictiaceae is based on the use of nitrate as the sole electron acceptor [32]. Crude extracts of P. fumarii strain 1AT cells show a strong cross-reaction with antibodies prepared against the thermosome of Pyrodictium occultum [32], which could suggest highly similar chaperonin protein complexes. Furthermore, a membrane-associated hydrogenase with an optimum reaction temperature of 119°C is found in cells grown on molecular hydrogen and nitrate [32]. Interestingly, succinyl-CoA reduction in P. fumarii is not NAD(P)H-dependent, but requires reduced methyl viologen as in Ignicoccus hospitalis [33,34]. In the RNA of hyperthermophiles, posttranscriptional modification has been identified as a leading mechanism of structure stabilization [35-39]. Twenty-six modified nucleosides of P. fumarii are detected, 11 of which are methylated in ribose [38]. P. fumarii exhibits a novel RNA nucleosides characterized as 1,2’-O-dimethylguanosine (m1Gm) [38].

Figure 2

Scanning electron micrograph of P. fumarii 1AT

Table 1

Classification and general features of P. fumarii 1AT according to the MIGS recommendations [22] and the NamesforLife database [23].

MIGS ID

    Property

    Term

   Evidence code

    Current classification

    Domain Archaea

   TAS [24]

    Phylum Crenarchaeota

   TAS [25]

    Class Thermoprotei

   TAS [26,27]

    Order Desulfurococcales

   TAS [26,28]

    Family Pyrodictiaceae

   TAS [29]

    Genus Pyrolobus

   TAS [1,3]

    Species Pyrolobus fumarii

   TAS [1,3]

    Type strain 1A

   TAS [1]

    Gram stain

    “negative”

   TAS [1]

    Cell shape

    regularly to irregularly lobed cocci,    occurring singly and in short chains

   TAS [1]

    Motility

    none

   TAS [1]

    Sporulation

    none

   TAS [1]

    Temperature range

    90–113°C

   TAS [1]

    Optimum temperature

    106°C

   TAS [1]

    Salinity

    1%-4% (w/v) NaCl (optimum 1.7%)

   TAS [1]

MIGS-22

    Oxygen requirement

    facultatively microaerophilic

   TAS [1]

    Carbon source

    CO2

   TAS [1]

    Energy metabolism

    chemolithoautotrophic

   TAS [1]

MIGS-6

    Habitat

    abyssal deep-sea hydrothermal systems

   TAS [1]

MIGS-15

    Biotic relationship

    free-living

   NAS

MIGS-14

    Pathogenicity

    none

   NAS

    Biosafety level

    1

   TAS [30]

    Isolation

    rock samples from wall of a black smoker

   TAS [1]

MIGS-4

    Geographic location

    Mid Atlantic Ridge

   TAS [1]

MIGS-5

    Sample collection time

    1993

   NAS

MIGS-4.1

    Latitude

    26

   TAS [1]

MIGS-4.2

    Longitude

    - 45

   TAS [1]

MIGS-4.3

    Depth

    3,650 m

   TAS [1]

MIGS-4.4

    Altitude

    - 3,650 m

   TAS [1]

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 [31]. If the evidence code is IDA, the property should have been directly observed by one of the authors or an expert mentioned in the acknowledgements

Chemotaxonomy

The S-layer of strain 1AT exhibits p4 symmetry with a lattice of 18.5 nm that encloses a 40-nm-wide ‘quasi-periplasmic space’ [1]. The major core lipids of strain 1AT are uncyclized glycerol-dialkyl-glycerol-tetraether (GDGT) and traces of 2,3-di-O-phytanyl-sn-glycerol (diether) [1]. Cells of strain 1AT do not contain C20 C25 diethers and cyclized GDGT [1]. Non-hydrolyzed lipids contain a main spot on TLC staining blue (instead of violet) by anisaldehyde [1]. The major organic solute of strain 1AT is di-myo-inositol phosphate (DIP) [40]. DIP and its derivatives are consistently associated with the heat stress response and therefore, are probably involved in the thermoprotection [15]. UDP-sugars are present in cells of strain 1AT [40]. The structures of the two major UDP-sugars are identified as UDP-α-GlcNAc3NAc and UDP-α-GlcNAc3NAc-(4←1)-β-GlcpNAc3NAc [40]. UDP-sugars are intermediates of an N-linked glycosylation pathway of strain 1AT [40]. Strain 1AT performs a posttranscriptional modification of transfer RNA [38].

Genome sequencing and annotation

Genome project history

This organism was selected for sequencing on the basis of its phylogenetic position [41], and is part of the Genomic Encyclopedia of Bacteria and Archaea project [42]. The genome project is deposited in the Genome On Line Database [14] 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

    Three genomic libraries: one 454 pyrosequence standard library,    one 454 PE library (6 kb insert size), one Illumina library

MIGS-29

   Sequencing platforms

    Illumina GAii, 454 GS FLX Titanium

MIGS-31.2

   Sequencing coverage

    1,753.4 × Illumina; 60.4 × pyrosequence

MIGS-30

   Assemblers

    Newbler version 2.5, Velvet 0.7.63, phrap SPS - 4.24

MIGS-32

   Gene calling method

    Prodigal 1.4, GenePRIMP

   INSDC ID

    CP002838

   Genbank Date of Release

    pending

   GOLD ID

    Gi02934

   NCBI project ID

    48579

   Database: IMG-GEBA

    2505679005

MIGS-13

   Source material identifier

    DSM 11204

   Project relevance

    Tree of Life, GEBA

Growth conditions and DNA isolation

P. fumarii 1AT, DSM 11204, was grown anaerobically in DSMZ medium 792 (Pyrolobus fumarii medium) [43] at 103°C. DNA was isolated from 0.5-1 g of cell paste using Qiagen Genomic 500 DNA Kit (Qiagen, Hilden, Germany) following the standard protocol as recommended by the manufacturer.

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 [44]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly consisting of ten contigs in one scaffold was converted into a phrap [45] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina sequencing data (3,232.0 Mb) was assembled with Velvet [46] and the consensus sequences were shredded into 1.5 kb overlapped fake reads and assembled together with the 454 data. The 454 draft assembly was based on 79.2 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 [45] 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 [44], Dupfinisher, or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI) [47]. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F. Chang, unpublished). A total of 12 additional reactions 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 [48]. 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 1,813.8 × coverage of the genome. The final assembly contained 431,902 pyrosequence and 44,889,308 Illumina reads.

Genome annotation

Genes were identified using Prodigal [49] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [50]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, UniProt, TIGRFam, 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 [51].

Genome properties

The genome consists of a 1,843,267 bp long chromosome with a 54.9% G+C content (Table 3 and Figure 3). Of the 2,038 genes predicted, 1,986 were protein-coding genes, and 52 RNAs; 19 pseudogenes were also identified. The majority of the protein-coding genes (54.9%) 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)

   1,843,267

    100.00%

DNA coding region (bp)

   1,616,680

    87.71%

DNA G+C content (bp)

   1,012,030

    54.90%

Number of replicons

   1

Extrachromosomal elements

   0

Total genes

   2,038

    100.00%

RNA genes

   52

    2.55%

rRNA operons

   1

Protein-coding genes

   1,986

    97.45%

Pseudo genes

   19

    0.93%

Genes with function prediction

   1,119

    54.91%

Genes in paralog clusters

   82

    4.02%

Genes assigned to COGs

   1,325

    65.01%

Genes assigned Pfam domains

   1,283

    62.95%

Genes with signal peptides

   207

    10.16%

Genes with transmembrane helices

   368

    18.06%

CRISPR repeats

   0

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

Code

   value

   %age

    Description

J

   178

   12.5

    Translation, ribosomal structure and biogenesis

A

   2

   0.1

    RNA processing and modification

K

   84

   5.9

    Transcription

L

   72

   5.1

    Replication, recombination and repair

B

   3

   0.2

    Chromatin structure and dynamics

D

   16

   1.1

    Cell cycle control, cell division, chromosome partitioning

Y

   0

   0.0

    Nuclear structure

V

   10

   0.7

    Defense mechanisms

T

   31

   2.2

    Signal transduction mechanisms

M

   27

   1.9

    Cell wall/membrane/envelope biogenesis

N

   10

   0.7

    Cell motility

Z

   0

   0.0

    Cytoskeleton

W

   0

   0.0

    Extracellular structures

U

   19

   1.3

    Intracellular trafficking and secretion

O

   60

   4.2

    Posttranslational modification, protein turnover, chaperones

C

   97

   6.8

    Energy production and conversion

G

   36

   2.5

    Carbohydrate transport and metabolism

E

   120

   8.5

    Amino acid transport and metabolism

F

   51

   3.6

    Nucleotide transport and metabolism

H

   99

   7.0

    Coenzyme transport and metabolism

I

   18

   1.3

    Lipid transport and metabolism

P

   54

   3.8

    Inorganic ion transport and metabolism

Q

   11

   0.8

    Secondary metabolites biosynthesis, transport and catabolism

R

   260

   18.1

    General function prediction only

S

   162

   11.4

    Function unknown

-

   713

   35.0

    Not in COGs

Insights from the genome sequence

Table 5 shows the whole-genome distances between P. fumarii and the other type strains within the order Desulfurococcales [15-21] as calculated using the genome-to-genome distance calculator [52-54]. As expected, the distances to the only other member of the family Pyrodictiaceae, H. butylicus, are lower than those to the members of the Desulfurococcaceae. This does not hold for formula 2, which is affected by saturation: if only HSPs of more strongly conserved genes are obtained, these contain, on average, a higher proportion of identical base pairs [52].

Table 5

Genome-to-genome distances between P. fumarii and the genomes of other type strains within the order*

Reference genome

    Formula

     Distance

Aeropyrum pernix BA000002

    1

     0.9809

    2

     0.1414

    3

     0.9836

Desulfurococcus kamchatkensis CP001140

    1

     0.9889

    2

     0.1194

    3

     0.9903

Desulfurococcus mucosus CP002363

    1

     0.9836

    2

     0.1321

    3

     0.9857

Hyperthermus butylicus CP000493

    1

     0.9514

    2

     0.1632

    3

     0.9593

Ignicoccus hospitalis CP000816

    1

     0.9777

    2

     0.1410

    3

     0.9808

Ignisphaera aggregans CP002098

    1

     0.9940

    2

     0.1062

    3

     0.9946

Staphylothermus hellenicus CP002051

    1

     0.9909

    2

     0.1167

    3

     0.9920

Staphylothermus marinus CP000575

    1

     0.9916

    2

     0.1121

    3

     0.9925

Thermosphaera aggregans CP001939

    1

     0.9883

    2

     0.1215

    3

     0.9897

*The formulas are: 1- HSP length/total length; 2- identities/HSP length; 3- identities/total length [52,53].

Figure 4 shows a neighbor-joining tree inferred with PAUP* [13] from the logarithmized version of distance 3. The tree differs from the 16S rRNA-based tree (Figure 1) regarding the position of Ignisphaera aggregans, which is placed as sister group of all other Desulfurococcaceae by the 16S rRNA, but of Staphylothermus in the whole-genome tree.

Figure 4

GGDC NJ tree inferred from the type strain genomes within the order Desulfurococcales.

The fraction of shared genes in the genomes of P. fumarii, its closest neighbor H. butylicus, and as an outgroup I. aggregans (see Figure 1) is shown in a Venn diagram (Figure 5). The numbers of pairwise shared genes were calculated with the phylogenetic profiler function of the IMG-ER platform [51]. The homologous genes within the genomes were detected with a maximum E-value of 10-5 and a minimum identity of 30%. 719 genes (39%) are shared by P. fumarii, I. aggregans and H. butylicus. P. fumarii and H. butylicus share 410 genes, whereas I. aggregans shares only 89 and 177 with H. butylicus and P. fumarii, respectively, corroborating with the larger phylogenetic distance. With only 398 genes (25%) H. butylicus contains the smallest fraction of unique genes (and the smallest genome, 1,616 genes), while I. aggregans has not only the largest genome (1,992 genes), but also the highest fraction of unique genes (51%) in this set of organisms.

Figure 5

Venn diagram depicting the intersections of protein sets (total numbers in parentheses) of P. fumarii, I. aggregans and H. butylicus.

Declarations

Acknowledgements

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, as well as German Research Foundation (DFG) INST 599/1-1 and SI 1352/1-2 and Thailand Research Fund Royal Golden Jubilee Ph.D. Program No. PHD/0019/2548' for MY.


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.

References

  1. Blöchl E, Rachel R, Burggraf S, Hafenbradl D, Jannasch HW and Stetter KO. Pyrolobus fumarii, gen. and sp. nov., represents a novel group of archaea, extending the upper temperature limit for life to 113 degrees C. Extremophiles. 1997; 1:14-21 View ArticlePubMed
  2. Rainey FA, Oren A. 2006. Extremophiles. In: Rainey FA, Oren A (eds), Methods in Microbiology, vol. 35. Elsevier, New York.
  3. . 71. Validation of publication of new names and new combinations previously effectively published outside the IJSB. Int J Syst Bacteriol. 1999; 49:1325-1326 View Article
  4. Kashefi K and Lovley DR. Extending the upper temperature limit for life. Science. 2003; 301:934 View ArticlePubMed
  5. Altschul SF, Gish W, Miller W, Myers EW and Lipman DJ. Bascic local alignment search tool. J Mol Biol. 1990; 215:403-410PubMed
  6. 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
  7. Porter MF. An algorithm for suffix stripping. Program: electronic library and information systems 1980; 14:130-137.
  8. Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000; 17:540-552PubMed
  9. Lee C, Grasso C and Sharlow MF. Multiple sequence alignment using partial order graphs. Bioinformatics. 2002; 18:452-464 View ArticlePubMed
  10. Stamatakis A, Hoover P and Rougemont J. A rapid bootstrap algorithm for the RAxML web servers. Syst Biol. 2008; 57:758-771 View ArticlePubMed
  11. 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
  12. 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
  13. Swofford DL. PAUP*: Phylogenetic Analysis Using Parsimony (*and Other Methods), Version 4.0 b10. Sinauer Associates, Sunderland, 2002.
  14. Liolios K, Chen IM, Mavromatis K, Tavernarakis N, Hugenholtz P, Markowitz VM and Kyrpides NC. The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res. 2010; 38:D346-D354 View ArticlePubMed
  15. Ravin NV, Mardanov AV, Beletsky AV, Kublanov IV, Kolganova TV, Lebedinsky AV, Chernyh NA, Bonch-Osmolovskaya EA and Skryabin KG. Complete genome sequence of the anaerobic, protein-degradinghyperthermophilic crenarchaeon Desulfurococcus kamchatkensis. J Bacteriol. 2009; 191:2371-2379 View ArticlePubMed
  16. Wirth R, Chertkov O, Held B, Lapidus A, Nolan M, Lucas S, Hammon N, Deshpande S, Cheng JF and Tapia R. Complete genome sequence of Desulfurococcus mucosus type strain (07/1T). Stand Genomic Sci. 2011; 4:173-182 View ArticlePubMed
  17. Spring S, Rachel R, Lapidus A, Davenport K, Tice H, Copeland A, Cheng JF, Lucas S, Chen F and Nolan M. Complete genome sequence of Thermosphaera aggregans type strain (M11TLT). Stand Genomic Sci. 2010; 2:245-259 View ArticlePubMed
  18. Kawarabayasi Y, Hino Y, Horikawa H, Yamazaki S, Haikawa Y, Jin-no K, Takahashi M, Sekine M, Baba S and Ankai A. Complete genome sequence of an aerobic hyper-thermophilic crenarchaeon, Aeropyrum pernix K1. DNA Res. 1999; 6:83-101 View ArticlePubMed
  19. Podar M, Anderson I, Makarova KS, Elkins JG, Ivanova N, Wall MA, Lykidis A, Mavromatis K, Sun H and Hudson ME. A genomic analysis of the archaeal system Ignicoccus hospitalis-Nanoarchaeum equitans. Genome Biol. 2008; 9:R158 View ArticlePubMed
  20. Göker M, Held B, Lapidus A, Nolan M, Spring S, Yasawong M, Lucas S, Glavina Del Rio T, Tice H and Cheng JF. Complete genome sequence of Ignisphaera aggregans type strain (AQ1.S1T). Stand Genomic Sci. 2010; 3:66-75 View ArticlePubMed
  21. Brügger K, Chen L, Stark M, Zibat A, Redder P, Ruepp A, Awayez M, She Q, Garrett RA and Klenk HP. The genome of Hyperthermus butylicus: a sulfur-reducing, peptide fermenting, neutrophilic crenarchaeote growing up to 108°C. Archaea. 2008; 2:127-135 View ArticlePubMed
  22. 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
  23. Garrity G. NamesforLife. BrowserTool takes expertise out of the database and puts it right in the browser. Microbiol Today. 2010; 37:9
  24. 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
  25. Garrity GM, Holt JG. 2001. Phylum AI. Crenarchaeota phy. nov., In: Boone DR, Castenholz RW, Garrity GM (eds), Bergey's Manual of Systematic Bacteriology, 2nd ed, vol. 1. Springer-Verlag, New York.
  26. . 85. Validation of publication of new names and new combinations previously effectively published outside the IJSEM. Int J Syst Evol Microbiol. 2002; 52:685-690 View ArticlePubMed
  27. Reysenbach AL. 2001. Class I. Thermoprotei class. nov., In: Boone DR, Castenholz RW, Garrity GM (eds), Bergey's Manual of Systematic Bacteriology, 2nd ed, vol. 1. p. 169-210 Springer-Verlag, New York.
  28. Huber H, Stetter O. 2001. Order II. Desulfurococcales ord. nov., In: Garrity GM, Boone DR, Castenholz RW (eds), Bergey's Manual of Systematic Bacteriology, 2nd ed, vol. 1. p. 179-180 Springer, New York.
  29. Burggraf S, Huber H and Stetter KO. Reclassification of the crenarchaeal orders and families in accordance with 16S rRNA sequence data. Int J Syst Bacteriol. 1997; 47:657-660 View ArticlePubMed
  30. Baua 2005. Classification of bacteria and archaea in risk groups. TRBA 466 p. 286.Web Site
  31. 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
  32. Huber H, Stetter KO. 2006. Archaea. Bacteria: Firmicutes, Actinomycetes, In: Dworkin M, FalkowS, Rosenberg E, Schleifer KH, Stackebrandt E (eds), The Prokaryotes. A Handbook on the Biology of Bacteria, 3rd ed, vol. 3. p. 106-114 Springer, New York.
  33. Berg IA, Ramos-Vera WH, Petri A, Huber H and Fuchs G. Study of the distribution of autotrophic CO2 fixation cycles in Crenarchaeota. Microbiology. 2010; 156:256-269 View ArticlePubMed
  34. Huber H, Gallenberger M, Jahn U, Eylert E, Berg IA, Kockelkorn D, Eisenreich W and Fuchs G. A dicarboxylate/4-hydroxybutyrate autotrophic carbon assimilation cycle in the hyperthermophilic archaeum Ignicoccus hospitalis. Proc Natl Acad Sci USA. 2008; 105:7851-7856 View ArticlePubMed
  35. Agris PF. The importance of being modified: roles of modified nucleosides and Mg2+ in RNA structure and function. Prog Nucleic Acid Res Mol Biol. 1996; 53:79-129 View ArticlePubMed
  36. Davis DR. 1998. Modification and editing of RNA. ASM Press, Washington.
  37. Derrick WB and Horowitz J. Probing structural differences between native and in vitro transcribed Escherichia coli valine transfer RNA: evidence for stable base modification-dependent conformers. Nucleic Acids Res. 1993; 21:4948-4953 View ArticlePubMed
  38. McCloskey JA, Liu XH, Crain PF, Bruenger E, Guymon R, Hashizume T and Stetter KO. Posttranscriptional modification of transfer RNA in the submarine hyperthermophile Pyrolobus fumarii. Nucleic Acids Symp Ser. 2000; 44:267-268PubMed
  39. Sampson JR and Uhlenbeck OC. Biochemical and physical characterization of an unmodified yeast phenylalanine transfer RNA transcribed in vitro. Proc Natl Acad Sci USA. 1988; 85:1033-1037 View ArticlePubMed
  40. Gonçalves LG, Lamosa P, Huber R and Santos H. Di-myo-inositol phosphate and novel UDP-sugars accumulate in the extreme hyperthermophile Pyrolobus fumarii. Extremophiles. 2008; 12:383-389 View ArticlePubMed
  41. 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
  42. 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 encyclopaedia of Bacteria and Archaea. Nature. 2009; 462:1056-1060 View ArticlePubMed
  43. List of growth media used at DSMZ: Web Site
  44. . Web Site
  45. Phrap and Phred for Windows. MacOS, Linux, and Unix. Web Site
  46. 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
  47. Han C, Chain P. 2006. Finishing repeat regions automatically with Dupfinisher. In: Proceeding of the 2006 international conference on bioinformatics & computational biology. Arabina HR, Valafar H (eds), CSREA Press. June 26-29, 2006: 141-146.
  48. 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.
  49. 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
  50. 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
  51. 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
  52. Auch AF, Klenk HP and Göker M. Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs. Stand Genomic Sci. 2010; 2:142-148 View ArticlePubMed
  53. Auch AF, von Jan M, Klenk HP and Göker M. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci. 2010; 2:117-134 View ArticlePubMed
  54. genome-to-genome distance calculator. Web Site