- Open Access
Genome sequence of the soil bacterium Saccharomonospora azurea type strain (NA-128T)
- Hans-Peter Klenk1,
- Brittany Held2,
- Susan Lucas3,
- Alla Lapidus3,
- Alex Copeland3,
- Nancy Hammon3,
- Sam Pitluck3,
- Lynne A. Goodwin2, 3,
- Cliff Han2, 3,
- Roxanne Tapia2, 3,
- Evelyne-Marie Brambilla1,
- Gabriele Pötter1,
- Miriam Land3, 4,
- Natalia Ivanova3,
- Manfred Rohde5,
- Markus Göker1,
- John C. Detter2, 3,
- Nikos C. Kyrpides3 and
- Tanja Woyke3
- Published: 25 May 2012
Abstract
Saccharomonospora azurea Runmao et al. 1987 is a member of the genus Saccharomonospora, which is in the family Pseudonocardiaceae and thus far poorly characterized genomically. Members of the genus Saccharomonospora are of interest because they originate from diverse habitats, such as leaf litter, manure, compost, the surface of peat, and moist and over-heated grain, and may play a role in the primary degradation of plant material by attacking hemicellulose. Next to S. viridis, S. azurea is only the second member in the genus Saccharomonospora for which a completely sequenced type strain genome will be published. Here we describe the features of this organism, together with the complete genome sequence with project status ‘Improved high quality draft’, and the annotation. The 4,763,832 bp long chromosome with its 4,472 protein-coding and 58 RNA genes was sequenced as part of the DOE funded Community Sequencing Program (CSP) 2010 at the Joint Genome Institute (JGI).
Keywords
- aerobic
- chemoheterotrophic
- Gram-positive
- vegetative and aerial mycelia
- spore-forming
- non-motile
- soil bacterium
- Pseudonocardiaceae
- CSP 2010
Introduction
Strain NA-128T (= DSM 44631 = ATCC 43670 = NBRC 14651) is the type strain of the species Saccharomonospora azurea [1], one of nine species currently in the genus Saccharomonospora [2]. The strain was originally isolated in the course of screening for new antibiotics from a soil sample collected near Guangyun City, Sichuan (China) [1]. The genus name Saccharomonospora was derived from the Greek words for sakchâr, sugar, monos, single or solitary, and spora, a seed or spore, meaning the sugar (-containing) single-spored (organism) [3]. The species epithet was derived from the Latin adjective azurea, azure, referring to the color of the areal mycelium [1]. Yoon et al. [4] showed in 1999 via DNA-DNA hybridization that ‘S. caesia’ [5] (formerly known as ‘Micropolyspora caesia’ [6]), which was not included on the Approved Lists [7], was a synonym of S. azurea. S. azurea and the other type strains of the genus Saccharomonospora were selected for genome sequencing in a DOE Community Sequencing Project (CSP 312) at Joint Genome Institute (JGI), because members of the genus (which originate from diverse habitats, such as leaf litter, manure, compost, surface of peat, moist and over-heated grain) might play a role in the primary degradation of plant material by attacking hemicellulose. This expectation was underpinned by the results of the analysis of the genome of S. viridis [8], one of the recently sequenced GEBA genomes [9]. The S. viridis genome, the only sequenced genome from the genus Saccharomonospora to date, contained an unusually large number (24) of genes for glycosyl hydrolases (GH) belonging to 14 GH families, which were identified in the Carbon Active Enzyme Database [10]. Hydrolysis of cellulose and starch was also reported for other members of the genus (that are included in CSP 312), such as S. marina [11], S. halophila [12], S. saliphila [13], S. paurometabolica [14], and S. xinjiangensis [15]. Here we present a summary classification and a set of features for S. azurea AN-128T, together with the description of the genomic sequencing and annotation.
Classification and features
A representative genomic 16S rRNA sequence of S. azurea NA-128T was compared using NCBI BLAST [16,17] 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 [18] and the relative frequencies of taxa and keywords (reduced to their stem [19]) were determined, weighted by BLAST scores. The most frequently occurring genera were Saccharomonospora (47.9%), Kocuria (17.7%), Corynebacterium (9.4%), Kibdelosporangium (6.0%) and Prauserella (5.5%) (176 hits in total). Regarding the eight hits to sequences from members of the species, the average identity within HSPs was 99.5%, whereas the average coverage by HSPs was 99.8%. Regarding the 42 hits to sequences from other members of the genus, the average identity within HSPs was 97.0%, whereas the average coverage by HSPs was 98.3%. Among all other species, the one yielding the highest score was Saccharomonospora xinjiangensis (AJ306300), which corresponded to an identity of 98.9% and an HSP coverage of 100.1%. (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 FN667533 ‘stages composting process pilot scale municipal drum compost clone PS3734’, which showed an identity of 100.0% and a HSP coverage of 97.9%. The most frequently occurring keywords within the labels of all environmental samples that produced hits were ‘feedlot’ (7.9%), ‘top’ (4.1%), ‘beef, cattl, coli, escherichia, habitat, marc, neg, pen, primari, secondari, stec, surfac, synecolog’ (3.9%), ‘feedbunk’ (2.3%) and ‘compost’ (1.7%) (74 hits in total). Environmental samples that yielded hits of a higher score than the highest scoring species were not found.
Phylogenetic tree highlighting the position of S. azurea relative to the type strains of the other species within the family Pseudonocardiaceae. The tree was inferred from 1,386 aligned characters [20,21] of the 16S rRNA gene sequence under the maximum likelihood (ML) criterion [22]. Rooting was done initially using the midpoint method [23] 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 550 ML bootstrap replicates [24] (left) and from 1,000 maximum parsimony bootstrap replicates [25] (right) if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [26] are labeled with one asterisk, those also listed as ‘Complete and Published’ with two asterisks [8,27,28]. Actinopolyspora iraqiensis Ruan et al. 1994 was ignored in the tree. The species was proposed to be a later heterotypic synonym of S. halophila [29], although the name A. iraqiensis would have had priority over S. halophila. This taxonomic problem will soon be resolved with regard to the genomes of A. iraqiensis and S. halophila, which were both part of CSP 312.
Scanning electron micrograph of S. azurea AN-128T
Chemotaxonomy
The cell wall of strain AN-128T contains meso-diaminopimelic acid. Galactose and arabinose are present, indicating a type IV cell wall / type A whole cell sugar pattern [1]. The fatty acids spectrum is dominated by almost 80% hexadecanoic acids: iso-C16:0 (27.0%), C16:1 cis-9 (17.0%), iso-C16:0 2-OH (14.0%), C16:0 (palmitic acid, 13.0%), iso-C16:1 H (7.0%), anteiso-C16:0 (1.0%) [42]. There are no data available for polar lipids and quinines of this strain.
Genome sequencing and annotation
Genome project history
Classification and general features of S. azurea AN-128 T according to the MIGS recommendations [30].
MIGS ID | Property | Term | Evidence code |
---|---|---|---|
Current classification | Domain Bacteria | TAS [31] | |
Phylum Actinobacteria | TAS [32] | ||
Class Actinobacteria | TAS [33] | ||
Subclass Actinobacteridae | |||
Order Actinomycetales | |||
Suborder Pseudonocardineae | |||
Family Pseudonocardiaceae | |||
Genus Saccharomonospora | |||
Species Saccharomonospora azurea | TAS [1] | ||
Type-strain AN-128 | TAS [1] | ||
Gram stain | positive | NAS | |
Cell shape | variable | NAS | |
Motility | non-motile | NAS | |
Sporulation | single spores with smooth surface, mainly on aerial mycelium | TAS [1] | |
Temperature range | mesophile, 24–40°C | TAS [1] | |
Optimum temperature | 28–37°C | TAS [1] | |
Salinity | grows in up to 7% NaCl; 10% is inhibitory | TAS [1] | |
MIGS-22 | Oxygen requirement | aerobic | TAS [1] |
Carbon source | mono, di- and trisaccharides | TAS [1] | |
Energy metabolism | chemoheterotrophic | NAS | |
MIGS-6 | Habitat | soil | TAS [1] |
MIGS-15 | Biotic relationship | free living | NAS |
MIGS-14 | Pathogenicity | none | NAS |
Biosafety level | 1 | TAS [40] | |
MIGS-23.1 | Isolation | soil | TAS [1] |
MIGS-4 | Geographic location | Guangyuan City, Sichuan (China) | TAS [1] |
MIGS-5 | Sample collection time | 1986 or before | NAS |
MIGS-4.1 | Latitude | 32.45 | NAS |
MIGS-4.2 | Longitude | 105.84 | NAS |
MIGS-4.3 | Depth | not reported | |
MIGS-4.4 | Altitude | not reported |
Genome sequencing project information
MIGS ID | Property | Term |
---|---|---|
MIGS-31 | Finishing quality | Improved high quality draft |
MIGS-28 | Libraries used | Three genomic libraries: one 454 pyrosequence standard library, one 454 PE library (12 kb insert size), one Illumina library |
MIGS-29 | Sequencing platforms | Illumina GAii, 454 GS FLX Titanium |
MIGS-31.2 | Sequencing coverage | 1,025.0 × Illumina; 8.6 × pyrosequence |
MIGS-30 | Assemblers | Newbler version 2.3, Velvet version 1.0.13, phrap version SPS - 4.24 |
MIGS-32 | Gene calling method | Prodigal |
INSDC ID | AGIU00000000, CM001466 | |
GenBank Date of Release | March 6, 2012 | |
GOLD ID | Gi07579 | |
NCBI project ID | 62037 | |
Database: IMG | 2508501044 | |
MIGS-13 | Source material identifier | DSM 44631 |
Project relevance | Bioenergy and phylogenetic diversity |
Growth conditions and DNA isolation
Strain NA-128T, DSM 44631, was grown in DSMZ medium 83 (Czapek Peptone Medium) [43] at 28°C. DNA was isolated from 0.5–1 g of cell paste using Jetflex Genomic DNA Purification Kit (GENOMED 600100) following the standard protocol as recommended by the manufacturer with the following modifications: extended cell lysis time (60 min.) with additional 30µl Achromopeptidase, Lysostaphin, Mutanolysin; proteinase K was applied in 6-fold the supplier recommended amount for 60 min. at 58°C. The purity, quality and size of the bulk gDNA preparation were assessed by JGI according to DOE-JGI guidelines. DNA is available through the DNA Bank Network [44].
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 [45]. Pyrosequencing reads were assembled using the Newbler assembler (Roche). The initial Newbler assembly consisting of 215 contigs in one scaffold was converted into a phrap [46] assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (5,162.6 Mb) was assembled with Velvet [47] 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 80.3 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 [46] 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 [45], Dupfinisher [48], 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 158 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 [49].
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 1,033.6 × coverage of the genome. The final assembly contained 345,324 pyrosequence and 64,928,268 Illumina reads.
Genome annotation
Genes were identified using Prodigal [50] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [51]. 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 [52].
Genome properties
Graphical map of the chromosome. From left to the right: 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.
Genome Statistics
Attribute | Value | % of Total |
---|---|---|
Genome size (bp) | 4,763,852 | 100.00% |
DNA coding region (bp) | 4,287,642 | 90.00% |
DNA G+C content (bp) | 3,331,901 | 70.08% |
Number of replicons | 1 | |
Extrachromosomal elements | 0 | |
Total genes | 4,530 | 100.00% |
RNA genes | 58 | 1.28% |
rRNA operons | 3 | |
tRNA genes | 47 | 1.04% |
Protein-coding genes | 4,472 | 98.72% |
Pseudo genes | 96 | 2.12% |
Genes with function prediction (proteins) | 3,342 | 73.77% |
Genes in paralog clusters | 2,354 | 51.96% |
Genes assigned to COGs | 3,312 | 73.11% |
Genes assigned Pfam domains | 3,450 | 76.16% |
Genes with signal peptides | 1,332 | 29.40% |
Genes with transmembrane helices | 1,070 | 23.62% |
CRISPR repeats | 0 |
Number of genes associated with the general COG functional categories
Code | value | %age | Description |
---|---|---|---|
J | 171 | 4.6 | Translation, ribosomal structure and biogenesis |
A | 1 | 0.0 | RNA processing and modification |
K | 394 | 10.6 | Transcription |
L | 175 | 4.7 | Replication, recombination and repair |
B | 2 | 0.1 | Chromatin structure and dynamics |
D | 35 | 0.9 | Cell cycle control, cell division, chromosome partitioning |
Y | 0 | 0.0 | Nuclear structure |
V | 58 | 1.6 | Defense mechanisms |
T | 190 | 5.1 | Signal transduction mechanisms |
M | 156 | 4.2 | Cell wall/membrane biogenesis |
N | 6 | 0.2 | Cell motility |
Z | 0 | 0.0 | Cytoskeleton |
W | 0 | 0.0 | Extracellular structures |
U | 36 | 1.0 | Intracellular trafficking and secretion, and vesicular transport |
O | 134 | 3.6 | Posttranslational modification, protein turnover, chaperones |
C | 245 | 6.6 | Energy production and conversion |
G | 259 | 7.0 | Carbohydrate transport and metabolism |
E | 313 | 8.4 | Amino acid transport and metabolism |
F | 91 | 2.4 | Nucleotide transport and metabolism |
H | 194 | 5.2 | Coenzyme transport and metabolism |
I | 179 | 4.8 | Lipid transport and metabolism |
P | 176 | 4.7 | Inorganic ion transport and metabolism |
Q | 152 | 4.1 | Secondary metabolites biosynthesis, transport and catabolism |
R | 478 | 12.8 | General function prediction only |
S | 282 | 7.6 | Function unknown |
- | 1,218 | 26.9 | Not in COGs |
Declarations
Acknowledgements
The work conducted by the US Department of Energy Joint Genome Institute was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
Authors’ Affiliations
References
- Runmao H. Saccharomonospora azurea sp. nov., a new species from soil. Int J Syst Bacteriol 1987; 37:60–61. http://dx.doi.org/10.1099/00207713-37-1-60View ArticleGoogle Scholar
- Garrity G. NamesforLife. BrowserTool takes expertise out of the database and puts it right in the browser. Microbiol Today 2010; 37:9.Google Scholar
- Euzéby JP. List of Bacterial Names with Standing in Nomenclature: a folder available on the internet. Int J Syst Bacteriol 1997; 47:590. PubMed http://dx.doi.org/10.1099/00207713-47-2-590View ArticlePubMedGoogle Scholar
- Yoon JH, Kim SB, Lee ST, Park YH. DNA-DNA relatedness between Saccharomonospora species: ‘Saccharomonospora caesia’ as a synonym of Saccharomonospora azurea. Int J Syst Bacteriol 1999; 49:671–673. http://dx.doi.org/10.1099/00207713-49-2-671View ArticleGoogle Scholar
- Kurup VP. Taxonomic study of some members of Micropolyspora and Saccharomonospora. Microbiologica 1981; 4:249–259.Google Scholar
- Kalakoutskii LV. A new species of the genus Micropolyspora — Micropolyspora caesian, sp. [English translation of Microbiologiya]. Microbiology 1964; 33:765–768.Google Scholar
- Skerman VBD, McGowan V, Sneath PHA. Approved Lists of Bacterial Names. Int J Syst Bacteriol 1980; 30:225–420. http://dx.doi.org/10.1099/00207713-30-1-225View ArticleGoogle Scholar
- Pati A, Sikorski J, Nolan M, Lapidus A, Copeland A, Glavina Del Rio T, Lucas S, Chen F, Tice H, Pitluck S, et al. Complete genome sequence of Saccharomonospora viridis type strain (P101 T). Stand Genomic Sci 2009; 1:141–149. PubMed http://dx.doi.org/10.4056/sigs.20263PubMed CentralView ArticlePubMedGoogle Scholar
- Wu D, Hugenholtz P, Mavromatis K, Pukall R, Dalin E, Ivanova NN, Kunin V, Goodwin L, Wu M, Tindall BJ, et al. A phylogeny-driven Genomic Encyclopaedia of Bacteria and Archaea. Nature 2009; 462:1056–1060. PubMed http://dx.doi.org/10.1038/nature08656PubMed CentralView ArticlePubMedGoogle Scholar
- Carbon Active Enzyme Database. http://www.cazy.org
- Liu Z, Li Y, Zheng L, Huang YJ, Li WJ. Saccharomonospora marina sp. nov., isolated from an ocean sediment of the East China Sea. Int J Syst Evol Microbiol 2010; 60:1854–1857. PubMed http://dx.doi.org/10.1099/ijs.0.017038-0View ArticlePubMedGoogle Scholar
- Al-Zarban SS, Al-Musaallam AA, Abbas I, Stackebrandt E, Kroppenstedt RM. Saccharomonospora halophila sp. nov., a novel halophilic actinomycete isolated from marsh soil in Kuwait. Int J Syst Evol Microbiol 2002; 52:555–558. PubMedView ArticlePubMedGoogle Scholar
- Syed DG, Tang SK, Cai M, Zhi XY, Agasar D, Lee JC, Kim CJ, Jiang CL, Xu CL, Li WJ. Saccharomonospora saliphila sp. nov., a halophilic actinomycete from an Indian soil. Int J Syst Evol Microbiol 2008; 58:570–573. PubMed http://dx.doi.org/10.1099/ijs.0.65449-0View ArticlePubMedGoogle Scholar
- Li WJ, Tang SK, Stackebrandt E, Kroppenstedt RM, Schumann P, Xu LH, Jiang CL. Saccharomonospora paurometabolica sp. nov., a moderately halophilic actinomycete isolated from soil in China. Int J Syst Evol Microbiol 2003; 53:1591–1594. PubMed http://dx.doi.org/10.1099/ijs.0.02633-0View ArticlePubMedGoogle Scholar
- Jin X, Xu LH, Mao PH, Hseu TH, Jiang CL. Description of Saccharomonospora xinjiangensis sp. nov. based on chemical and molecular classification. Int J Syst Bacteriol 1998; 48:1095–1099. PubMed http://dx.doi.org/10.1099/00207713-48-4-1095View ArticlePubMedGoogle Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol 1990; 215:403–410. PubMedView ArticlePubMedGoogle Scholar
- Korf I, Yandell M, Bedell J. BLAST, O’Reilly, Sebastopol, 2003.Google Scholar
- DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, Keller K, Huber T, Dalevi D, Hu P, Andersen GL. Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol 2006; 72:5069–5072. PubMed http://dx.doi.org/10.1128/AEM.03006-05PubMed CentralView ArticlePubMedGoogle Scholar
- Porter MF. An algorithm for suffix stripping. Program: electronic library and information systems 1980; 14:130–137.View ArticleGoogle Scholar
- Lee C, Grasso C, Sharlow MF. Multiple sequence alignment using partial order graphs. Bioinformatics 2002; 18:452–464. PubMed http://dx.doi.org/10.1093/bioinformatics/18.3.452View ArticlePubMedGoogle Scholar
- Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol 2000; 17:540–552. PubMed http://dx.doi.org/10.1093/oxfordjournals.molbev.a0 26334View ArticlePubMedGoogle Scholar
- Stamatakis A, Hoover P, Rougemont J. A rapid bootstrap algorithm for the RAxML web servers. Syst Biol 2008; 57:758–771. PubMed http://dx.doi.org/10.1080/10635150802429642View ArticlePubMedGoogle Scholar
- Hess PN, De Moraes Russo CA. An empirical test of the midpoint rooting method. Biol J Linn Soc Lond 2007; 92:669–674. http://dx.doi.org/10.1111/j.10958312.2007.00864.xView ArticleGoogle Scholar
- Pattengale ND, Alipour M, Bininda-Emonds ORP, Moret BME, Stamatakis A. How many bootstrap replicates are necessary? Lect Notes Comput Sci 2009; 5541:184–200. http://dx.doi.org/10.1007/978-3-642-02008-713View ArticleGoogle Scholar
- Swofford DL. PAUP*: Phylogenetic Analysis Using Parsimony (*and Other Methods), Version 4.0 b10. Sinauer Associates, Sunderland, 2002.Google Scholar
- Liolios K, Chen IM, Mavromatis K, Tavernarakis N, 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. PubMed http://dx.doi.org/10.1093/nar/gkp848PubMed CentralView ArticlePubMedGoogle Scholar
- Land M, Lapidus A, Mayilraj S, Chen R, Copeland A, Glavina Del Rio T, Nolan M, Lucas S, Tice H, Cheng JF, et al. Complete genome sequence of Actinosynnema mirum type strain (101 T). Stand Genomic Sci 2009; 1:46–53. PubMed http://dx.doi.org/10.4056/sigs.21137PubMed CentralView ArticlePubMedGoogle Scholar
- Liolios K, Sikorski J, Jando M, Lapidus A, Copeland A, Glavina Del Rio T, Nolan M, Lucas S, Tice H, Cheng JF, et al. Complete genome sequence of Thermobispora bispora type strain (R51 T). Stand Genomic Sci 2010; 2:318–326. PubMed http://dx.doi.org/10.4056/sigs.962171PubMed CentralView ArticlePubMedGoogle Scholar
- Tang SK, Wang Y, Klenk HP, Shi R, Lou K, Zhang YJ, Chen C, Ruan JS, Li WJ. Actinopolyspora alba sp. nov. and Actinopolyspora erythraea sp. nov., isolated from a salt field, and reclassification of Actinopolyspora iraqiensis Ruan et al. 1994 as a heterotypic synonym of Saccharomonospora halophila. Int J Syst Evol Microbiol 2011; 61:1693–1698. PubMed http://dx.doi.org/10.1099/ijs.0.022319-0View ArticlePubMedGoogle Scholar
- Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, Tatusova T, Thomson N, Allen MJ, Angiuoli SV, et al. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol 2008; 26:541–547. PubMed http://dx.doi.org/10.1038/nbt1360PubMed CentralView ArticlePubMedGoogle Scholar
- Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms. Proposal for the domains Archaea and Bacteria. Proc Natl Acad Sci USA 1990; 87:4576–4579. PubMed http://dx.doi.org/10.1073/pnas.87.12.4576PubMed CentralView ArticlePubMedGoogle Scholar
- Garrity GM, Holt JG. The Road Map to the Manual. In: Garrity GM, Boone DR, Castenholz RW (eds), Bergey’s Manual of Systematic Bacteriology, Second Edition, Volume 1, Springer, New York, 2001, p. 119–169.View ArticleGoogle Scholar
- Stackebrandt E, Rainey FA, Ward-Rainey NL. Proposal for a new hierarchic classification system, Actinobacteria classis nov. Int J Syst Bacteriol 1997; 47:479–491. http://dx.doi.org/10.1099/00207713-47-2-479View ArticleGoogle Scholar
- Zhi XY, Li WJ, Stackebrandt E. An update of the structure and 16S rRNA gene sequence-based definition of higher ranks of the class Actinobacteria, with the proposal of two new suborders and four new families and emended descriptions of the existing higher taxa. Int J Syst Evol Microbiol 2009; 59:589–608. PubMed http://dx.doi.org/10.1099/ijs.0.65780-0View ArticlePubMedGoogle Scholar
- Buchanan RE. Studies in the nomenclature and classification of bacteria. II. The primary subdivisions of the Schizomycetes. J Bacteriol 1917; 2:155–164. PubMedPubMed CentralPubMedGoogle Scholar
- Labeda DP, Goodfellow M, Chun J, Zhi X-Y, Li W-J. Reassessment of the systematics of the suborder Pseudonocardineae: transfer of the genera within the family Actinosynnemataceae Labeda and Kroppenstedt 2000 emend. Zhi et al. 2009 into an emended family Pseudonocardiaceae Embley et al. 1989 emend. Zhi et al. 2009. Int J Syst Evol Microbiol 2011; 61:1259–1264. PubMed http://dx.doi.org/10.1099/ijs.0.024984-0View ArticlePubMedGoogle Scholar
- List Editor. Validation List no. 29. Validation of the publication of new names and new combinations previously effectively published outside the IJSB. Int J Syst Bacteriol 1989; 39:205–206. http://dx.doi.org/10.1099/00207713-39-2-205
- Embley MT, Smida J, Stackebrandt E. The phylogeny of mycolate-less wall chemotype IV Actinomycetes and description of Pseudonocardiaceae fam. nov. Syst Appl Microbiol 1988; 11:44–52. http://dx.doi.org/10.1016/S0723-2020(88)80047-XView ArticleGoogle Scholar
- Nonomura H, Ohara Y. Distribution of actinomycetes in soil. X. New genus and species of monosporic actinomycetes in soil. J Ferment Technol 1971; 49:895–903.Google Scholar
- BAuA. 2010, Classification of Bacteria and Archaea in risk groups. http://www.baua.de TRBA 466, p. 194.
- 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
- Wink JM. Compendium of Actinobacteria. http://www.dsmz.de/microorganisms/wink pdf/DS_M44631.pdf.
- List of growth media used at DSMZ: http://www.dsmz.de/catalogues/catalogue-microorganisms/culture-technology/list-of-media-for-microorganisms.html.
- Gemeinholzer B, Dröge G, Zetzsche H, Haszprunar G, Klenk HP, Güntsch A, Berendsohn WG, Wägele JW. The DNA Bank Network: the start from a German initiative. Biopreserv Biobank 2011; 9:51–55. http://dx.doi.org/10.1089/bio.2010.0029View ArticlePubMedGoogle Scholar
- The DOE Joint Genome Institute. http://www.jgi.doe.gov
- Phrap and Phred for Windows. MacOS, Linux, and Unix. http://www.phrap.com
- Zerbino DR, Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 2008; 18:821–829. PubMed http://dx.doi.org/10.1101/gr.074492.107PubMed CentralView ArticlePubMedGoogle Scholar
- 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.Google Scholar
- 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.Google Scholar
- Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal Prokaryotic Dynamic Programming Genefinding Algorithm. BMC Bioinformatics 2010; 11:119. PubMed http://dx.doi.org/10.1186/1471-2105-11-119PubMed CentralView ArticlePubMedGoogle Scholar
- Pati A, Ivanova N, Mikhailova N, Ovchinikova G, Hooper SD, Lykidis A, Kyrpides NC. GenePRIMP: A Gene Prediction Improvement Pipeline for microbial genomes. Nat Methods 2010; 7:455–457. PubMed http://dx.doi.org/10.1038/nmeth.1457View ArticlePubMedGoogle Scholar
- Markowitz VM, Ivanova NN, Chen IMA, Chu K, Kyrpides NC. IMG ER: a system for microbial genome annotation expert review and curation. Bioinformatics 2009; 25:2271–2278. PubMed http://dx.doi.org/10.1093/bioinformatics/btp393View ArticlePubMedGoogle Scholar