1 HZI – Helmholtz Centre for Infection Research, Braunschweig, Germany
2 Los Alamos National Laboratory, Bioscience Division, Los Alamos, New Mexico, USA
3 DOE Joint Genome Institute, Walnut Creek, California, USA
4 DSMZ - German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany
5 Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, Berkeley, California, USA
6 Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
7 University of California Davis Genome Center, Davis, California, USA
Electronic publication date: December 15, 2010.
Abstract
Syntrophothermus lipocalidus Sekiguchi et al. 2000 is the type species of the genus Syntrophothermus. The species is of interest because of its strictly anaerobic lifestyle, its participation in the primary step of the degradation of organic maters, and for releasing products which serve as substrates for other microorganisms. It also contributes significantly to maintain a regular pH in its environment by removing the fatty acids through β-oxidation. The strain is able to metabolize isobutyrate and butyrate, which are the substrate and the product of degradation of the substrate, respectively. This is the first complete genome sequence of a member of the genus Syntrophothermus and the second in the family Syntrophomonadaceae. Here we describe the features of this organism, together with the complete genome sequence and annotation. The 2,405,559 bp long genome with its 2,385 protein-coding and 55 RNA genes is a part of the Genomic Encyclopedia of Bacteria and Archaea project.
Keywords: anaerobic, motile, Gram-negative, syntrophism with methanogen, crotonate, butyrate, isobutyrate, Syntrophomonadaceae, GEBA.
Djao et al.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.
Strain TGB-C1T (= DSM 12680) is the type strain of Syntrophothermus lipocalidus [1] which in turn is the type species of the genus Syntrophothermus [2]. Currently, this is the only species placed in the genus Syntrophothermus. The genus name derives from the Greek words “syn”, together with, “trophos”, one who feeds, and “thermus”, hot, referring to a thermophilic bacterium growing in syntrophic association with hydrogenotrophic organisms at high temperature of around 55°C [1]. The species epithet derives from the Greek word “lipos”, fat, and from the Latin adjective “calidus”, expert, referring to the organisms trait of specifically utilizing fatty acids [1]. Strain TGB-C1T was isolated from granular sludge in a thermophilic upflow anaerobic sludge blanket (UASB) [1]. No further cultivated strains belonging to the species S. lipocalidus have been described so far. Here we describe the features of this organism, together with the complete genome sequence and annotation.
The 16S rRNA gene sequence of strain TGB-C1T revealed an only distant relationship with the other representatives of the family Syntrophomonadaceae [1] (Figure1), with Thermosyntropha lipolytica [10] showing the highest degree of sequence similarity (88.1%). The sequence distances of strain TGB-C1T to other members of this family were 13.6% with Syntrophomonas wolfei subsp.wolfei, 14.0% with S. bryantii, and 14.8% with S. sapovorans, respectively [1]. Further analysis showed 98% 16S rRNA gene sequence identity with an uncultured bacterium represented by clone AR80B63 (AB539943) from the high-temperature Yabase oil field in Japan. The sequence of the 16S rRNA gene of strain TGB-C1T is identical with two unclassified sequences from an hydrothermal vent metagenome LCHCB.C3615 [11] and from human gut metagenome DNA (contig sequence: F2-Y_011332) [12] (status August 2010), indicating that members of the species, genus and even family are widely represented in the habitats screened so far.
Figure 1 Phylogenetic tree highlighting the position of S. lipocalidus TGB-C1T relative to the type strains within the family Syntrophomonadaceae. The trees were inferred from 1,434 aligned characters [3,4] of the 16S rRNA gene sequence under the maximum likelihood criterion [5] and rooted in accordance with the current taxonomy [6]. The branches are scaled in terms of the expected number of substitutions per site. Numbers above branches are support values from 1,000 bootstrap replicates [7] if larger than 60%. Lineages with type strain genome sequencing projects registered in GOLD [8] are shown in blue, published genomes in bold [9]. |
A representative genomic 16S rRNA sequence of S. lipocalidus TGB-C1T was also compared using BLAST with the most resent release of the Greengenes database [13] and the relative frequencies of taxa and keywords, weighted by BLAST scores, were determined. The five most frequent genera were Moorella (44.1%), Syntrophomonas (33.8%), Clostridium (6.0%), Syntrophothermus (5.6%) and Carboxydocella (3.5%). The species yielding the highest score was Moorella thermoautotrophica. The five most frequent keywords within the labels of environmental samples which yielded hits were 'microbial' (5.5%), 'anaerobic' (4.2%), 'rice' (2.9%), 'soil' (2.8%) and 'populations' (2.8%). The three most frequent keywords within the labels of environmental samples which yielded hits of a higher score than the highest scoring species were 'temperature' (8.2%), 'acetate, coupled, evidence, field, hydrogenotrophic, methanogenesis, oil, oxidation, petroleum, reservoir, syntrophic, yabase' (5.0%) and 'dependent, hot, muddy, reducing, sediment, southwestern, spring, succession, sulfate, taiwan' (3.2%). These keywords largely fit to what is known about the ecology and physiology of strain TGB-C1T [1].
Figure 1 shows the phylogenetic neighborhood of S. lipocalidus TGB-C1T, in a 16S rRNA based tree. The sequences of the two 16S rRNA gene copies in the genome differ from each other by up to two nucleotides, and differ by up to two nucleotides from the previously published 16S rRNA sequence (AB021305).
Cells of strain TGB-C1T are Gram-negative, slightly curved rods with round ends and weakly motile with flagella, 2.4 - 4.0 µm long and 0.4 - 0.5 µm wide (Figure 2 and Table 1) [1], occurring singly or in pairs. Roll-tube isolation revealed the presence of small white colonies, lens-shaped and 0.1 - 0.2 mm in diameter [1]. The growth rate of the strain TGB-C1T on 10 mM crotonate was 0.93 ± 0.01 d-1. Strain TGB-C1T is strictly anaerobic [1]. It grows on crotonate at temperatures between 45°C and 60°C, with the optimum at 55°C. The pH25°C range for growth is 5.8-7.5, with an optimum at 6.5-7.0 [1]. Strain TGB-C1T metabolizes in two ways, in pure culture only in the presence of the unsaturated fatty acid crotonate and in co-culture with Methanobacterium thermoautotrophicum strain ΔH in the presence of saturated fatty acids [1]. In pure culture, the fermentation products are acetate and butyrate in equimolar amounts. In co-culture with M. thermoautotrophicum, the substrates used are butyrate, straight-chain fatty acids from C4 to C10 and isobutyrate [1]. By oxidizing fatty acids, S. lipocalidus produces acetate and hydrogen [1], the latter of which is then scavenged by the syntrophic methanogen M. thermoautotrophicum [1]. Syntrophic hydrogenotrophic interactions with bacteria from the genus Methanobacterium have been also observed in the genome sequenced bacterium Aminobacterium colombiense strain ALA-1T from the phylum Synergistetes [26]. S. lipocalidus is the only species in the family Syntrophomonadaceae that is able to metabolize isobutyrate [2]. Neither yeast extract nor tryptone significantly stimulates growth [1]. In the presence of butyrate as electron donor, the following compounds do not serve as electron acceptors: sulfate, nitrate, sulfite, thiosulfate, fumarate, Fe(III)-nitrilotriacetate [1]. Cell growth is inhibited by ampicillin, chloramphenicol, kanamycin, neomycin, rifampin or vancomycin (each 50 µg ml-1) [1].
Figure 2 Scanning electron micrograph of S. lipocalidus TGB-C1T |
| MIGS ID | Property | Term | Evidence code |
|---|---|---|---|
| Current classification | Domain Bacteria | TAS [15] | |
| Phylum Firmicutes | TAS [16,17] | ||
| Class Clostridia | TAS [18,19] | ||
| Order Clostridiales | TAS [20,21] | ||
| Family Syntrophomonadaceae | TAS [22,23] | ||
| Genus Syntrophothermus | TAS [1] | ||
| Species Syntrophothermus lipocalidus | TAS [1] | ||
| Type strain TGB-C1 | TAS [1] | ||
| Gram stain | negative | TAS [1] | |
| Cell shape | slightly curved rods with round ends | TAS [1] | |
| Motility | weakly motile by flagella | TAS [1] | |
| Sporulation | None | TAS [1] | |
| Temperature range | 45°C–60°C | TAS [1] | |
| Optimum temperature | 55°C | TAS [1] | |
| Salinity | < 0.5% NaCl | TAS [1] | |
| MIGS-22 | Oxygen requirement | obligately anaerobic | TAS [1] |
| Carbon source | crotonate in pure culture; fatty acids with 4-10 carbon atoms including isobutyrate in syntrophy |
TAS [1] | |
| Energy source | crotonate | TAS [1] | |
| MIGS-6 | Habitat | not reported | NAS |
| MIGS-15 | Biotic relationship | syntrophic with methanogens | NAS |
| MIGS-14 | Pathogenicity | not reported | NAS |
| Biosafety level | 1 | TAS [24] | |
| Isolation | granular sludge in a thermophilic upflow anaerobic sludge blanket (UASB) reactor |
TAS [1] | |
| MIGS-4 | Geographic location | most probably Japan | TAS [1] |
| MIGS-5 | Sample collection time | 2000 or before | TAS [1] |
| MIGS-4.1 MIGS-4.2 |
Latitude Longitude |
not reported | NAS |
| MIGS-4.3 | Depth | not reported | NAS |
| MIGS-4.4 | Altitude | not reported | NAS |
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 [25]. If the evidence code is IDA, then the property was directly observed by one of the authors or an expert mentioned in the acknowledgements.
To date, no experimental reports have specified the lipid composition of the cell envelope of strain TGB-C1T. Nevertheless, the cell envelope of the strain TGB-C1T was Gram-negative stained, although electron micrographs and the 16S rRNA analysis showed that the strain was affiliated to the Gram-positive bacteria [1]. This feature was also observed for another member of the family Syntrophomonadaceae, S. bryantii [22,27]. The cell envelope is composed of the cytoplasmic membrane, an electron-dense layer, which is most probably made of peptidoglycan, and an electron-dense outermost wall [1].
This organism was selected for sequencing on the basis of its phylogenetic position [28], and is part of the Genomic Encyclopedia of Bacteria and Archaea project [29]. The genome project is deposited in the Genome OnLine Database [8] 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.
| MIGS ID | Property | Term |
|---|---|---|
| MIGS-31 | Finishing quality | Finished |
| MIGS-28 | Libraries used | Three genomic libraries: 454 pyrosequence standard library and; paired end library (10.2 kb insert size); Illumina standard library |
| MIGS-29 | Sequencing platforms | 454 GS FLX Titanium, Illumina GAii |
| MIGS-31.2 | Sequencing coverage | 103.3 × pyrosequence, 81.3 × Illumina |
| MIGS-30 | Assemblers | Newbler version 2.1-PreRelease-4-28-2009, Velvet, phrap |
| MIGS-32 | Gene calling method | Prodigal 1.4, GenePRIMP |
| INSDC ID | CP002048 | |
| Genbank Date of Release | June 7, 2010 | |
| GOLD ID | Gc012392 | |
| NCBI project ID | 37873 | |
| Database: IMG-GEBA | 2502957035 | |
| MIGS-13 | Source material identifier | DSM 12680 |
| Project relevance | Tree of Life, GEBA |
S. lipocalidus TGB-C1T, DSM 12680, was grown anaerobically in DSMZ medium 870 (Syntrophothermus medium) [30] at 55°C. DNA was isolated from 0.5-1 g of cell paste using the Jetflex Genomic DNA Purification kit (GENOMED 600100) following the standard protocol as recommended by the manufacturer, with 30 min incubation at 58°C for cell lysis.
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 [31]. Pyrosequencing reads were assembled using the Newbler assembler version 2.1-PreRelease-4-28-2009-gcc-3.4.6-threads (Roche). The initial Newbler assembly consisting of 16 contigs in one scaffold was converted into a phrap assembly by making fake reads from the consensus, collecting the read pairs in the 454 paired end library. Illumina GAii sequencing data (704 Mb) was assembled with Velvet [32] and the consensus sequences were shredded into 1.5 kb overlapped fake reads and assembled together with the 454 data. 454 draft assembly was based on 248.9 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 [33] was used for sequence assembly and quality assessment in the following finishing process. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with gapResolution [31], Dupfinisher, or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI) [34]. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F.Chang, unpublished). A total of 37 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 [35]. 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 184.6 × coverage of the genome. Final assembly contains 815,143 pyrosequence and 5,434,428 Illumina reads.
Genes were identified using Prodigal [36] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI [37]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. Additional gene prediction analysis and functional annotation was performed within the (IMG-ER) platform [38].
The genome consists of a 2,405,559 bp long chromosome with a 51.0% GC content (Table 3 and Figure 3). Of the 2,440 genes predicted, 2,385 were protein-coding genes, and 55 RNAs; 72 pseudogenes were also identified. The majority of the protein-coding genes (70.7%) were assigned with 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.
| Attribute | Value | % of Total |
|---|---|---|
| Genome size (bp) | 2,405,559 | 100.00% |
| DNA coding region (bp) | 2,078,709 | 86.41% |
| DNA G+C content (bp) | 1,226,580 | 50.99% |
| Number of replicons | 1 | |
| Extrachromosomal elements | 0 | |
| Total genes | 2,440 | 100.00% |
| RNA genes | 55 | 2.25% |
| rRNA operons | 2 | |
| Protein-coding genes | 2,385 | 97.75% |
| Pseudo genes | 72 | 2.95% |
| Genes with function prediction | 1,726 | 70.74% |
| Genes in paralog clusters | 348 | 14.26% |
| Genes assigned to COGs | 1,767 | 72.42% |
| Genes assigned Pfam domains | 1,912 | 78.26% |
| Genes with signal peptides | 603 | 24.71% |
| Genes with transmembrane helices | 545 | 22.34% |
| CRISPR repeats | 2 |
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. |
| Code | value | %age | Description |
|---|---|---|---|
| J | 144 | 7.4 | Translation, ribosomal structure and biogenesis |
| A | 0 | 0.0 | RNA processing and modification |
| K | 113 | 5.8 | Transcription |
| L | 123 | 6.3 | Replication, recombination and repair |
| B | 4 | 0.2 | Chromatin structure and dynamics |
| D | 32 | 1.6 | Cell cycle control, cell division, chromosome partitioning |
| Y | 0 | 0.0 | Nuclear structure |
| V | 33 | 1.7 | Defense mechanisms |
| T | 107 | 5.5 | Signal transduction mechanisms |
| M | 96 | 4.9 | Cell wall/membrane/envelope biogenesis |
| N | 81 | 4.1 | Cell motility |
| Z | 0 | 0.0 | Cytoskeleton |
| W | 0 | 0.0 | Extracellular structures |
| U | 66 | 3.4 | Intracellular trafficking and secretion, and vesicular transport |
| O | 74 | 3.8 | Posttranslational modification, protein turnover, chaperones |
| C | 144 | 7.4 | Energy production and conversion |
| G | 67 | 3.4 | Carbohydrate transport and metabolism |
| E | 144 | 7.4 | Amino acid transport and metabolism |
| F | 58 | 3.0 | Nucleotide transport and metabolism |
| H | 112 | 5.7 | Coenzyme transport and metabolism |
| I | 98 | 5.0 | Lipid transport and metabolism |
| P | 70 | 3.6 | Inorganic ion transport and metabolism |
| Q | 26 | 1.3 | Secondary metabolites biosynthesis, transport and catabolism |
| R | 205 | 10.5 | General function prediction only |
| S | 158 | 8.1 | Function unknown |
| - | 673 | 27.6 | Not in COGs |
We would like to gratefully acknowledge the help of Maren Schröder (DSMZ) in cultivation of the strain. 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 599/1-2.
| 1. | Sekiguchi Y, Kamagata Y, Nakamura K, Ohashi A, Harada H. Syntrophothermus lipocalidus gen. nov., sp. nov., a novel thermophilic, syntrophic, fatty-acid-oxidizing anaerobe which utilizes isobutyrate. Int J Syst Evol Microbiol 2000; 50:771-779. [pmid:10758888] |
| 2. | Sobieraj M, Boone DR. Syntrophomonadaceae. The Prokaryotes 2006; 4:1041-1049. [doi:10.1007/0-387-30744-3_37] |
| 3. | Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol 2000; 17:540-552. [pmid:10742046] |
| 4. | Lee C, Grasso C, Sharlow MF. Multiple sequence alignment using partial order graphs. Bioinformatics 2002; 18:452-464. [doi:10.1093/bioinformatics/18.3.452] [pmid:11934745] |
| 5. | Stamatakis A, Hoover P, Rougemont J. A rapid bootstrap algorithm for the RAxML web servers. Syst Biol 2008; 57:758-771. [doi:10.1080/10635150802429642] [pmid:18853362] |
| 6. | Yarza P, Richter M, Peplies J, Euzeby J, Amann R, Schleifer KH, Ludwig W, Glöckner FO, Rosselló-Móra R. The All-Species Living Tree project: A 16S rRNA-based phylogenetic tree of all sequenced type strains. Syst Appl Microbiol 2008; 31:241-250. [doi:10.1016/j.syapm.2008.07.001] [pmid:18692976] |
| 7. | 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. [doi:10.1007/978-3-642-02008-7_13] |
| 8. | Liolios K, Mavromatis K, Tavernarakis N, Kyrpides NC. The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata. Nucleic Acids Res 2008; 36:D475-D479. [doi:10.1093/nar/gkm884] [pmid:17981842] |
| 9. | Sieber JR, Sims DR, Han C, Kim E, Lykidis A, Lapidus AL, McDonnald E, Rohlin L, Culley DE, Gunsalus R, et al. The genome of Syntrophomonas wolfei: new insights into syntrophic metabolism and biohydrogen production. Environ Microbiol 2010; 12:2289-2301. |
| 10. | Svetlitshnyi V, Rainey F, Wiegel J. Thermosyntropha lipolytica gen. nov., sp. nov., a lipolytic, anaerobic, alkalitolerant, thermophilic bacterium utilizing short- and long-chain fatty acids in syntrophic coculture with a methanogenic archaeum. Int J Syst Bacteriol 1996; 46:1131-1137. [doi:10.1099/00207713-46-4-1131] [pmid:8863447] |
| 11. | Brazelton WJ, Baross JA. Abundant transposases encoded by the metagenome of a hydrothermal chimney biofilm. ISME J 2009; 3:1420-1424. [doi:10.1038/ismej.2009.79] [pmid:19571895] |
| 12. | Kurokawa K, Itoh T, Kuwahara T, Oshima K, Toh H, Toyoda A, Takami H, Morita H, Sharma VK, Srivastava TP, et al. Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes. DNA Res 2007; 14:169-181. [doi:10.1093/dnares/dsm018] [pmid:17916580] |
| 13. | 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. [doi:10.1128/AEM.03006-05] [pmid:16820507] |
| 14. | 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. [doi:10.1038/nbt1360] [pmid:18464787] |
| 15. | 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. [doi:10.1073/pnas.87.12.4576] [pmid:2112744] |
| 16. | 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 2001:119-169. |
| 17. | Gibbons NE, Murray RGE. Proposals concerning the higher taxa of Bacteria. Int J Syst Bacteriol 1978; 28:1-6. [doi:10.1099/00207713-28-1-1] |
| 18. | Validation list 132. List of new names and new combinations previously effectively, but not validly, published. Int J Syst Evol Microbiol 2010; 60:469-472. [doi:10.1099/ijs.0.022855-0] |
| 19. | Rainey FA. 2009. Class II. Clostridia class nov., p. 736. In P. De Vos, G. Garrity, D. Jones, N. R. Krieg, W. Ludwig, F. A. Rainey, K. H. Schleifer, and W. B. Whitman (ed.), Bergey’s Manual of Systematic Bacteriology, Second Edition ed, vol. 3. Springer, New York. |
| 20. | Prévot AR. in: P. Hauduroy, G. Ehringer, G. Guillot, J. Magrou, A. R. Prévot, Rosset and A. Urbain: Dictionnaire des Bactéries Pathogènes, 2nd ed., Masson, Paris, 1953, pp. 1-692. |
| 21. | Skerman VBD, McGowan V, Sneath PHA. Approved Lists of Bacterial Names. Int J Syst Bacteriol 1980; 30:225-420. [doi:10.1099/00207713-30-1-225] |
| 22. | Zhao H, Yang D, Woese CR, Bryant MP. Assignment of fatty acid-β-oxidizing syntrophic bacteria to Syntrophomonadaceae fam. nov. on the basis of 16S rRNA sequence analyses. Int J Syst Bacteriol 1993; 43:278-286. [doi:10.1099/00207713-43-2-278] [pmid:11536533] |
| 23. | Jumas-Bilak E, Roudiere L, Marchandin H. Description of 'Synergistetes' phyl. nov. and emended description of the phylum 'Deferribacteres' and of the family Syntrophomonadaceae, phylum 'Firmicutes'. Int J Syst Evol Microbiol 2009; 59:1028-1035. [doi:10.1099/ijs.0.006718-0] [pmid:19406787] |
| 24. | Classification of bacteria and archaea in risk groups. http://www.baua.de TRBA 466. |
| 25. | 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. Nat Genet 2000; 25:25-29. [doi:10.1038/75556] [pmid:10802651] |
| 26. | Chertkov O, Sikorski J, Brambilla E, Lapidus A, Copeland A, Rio TGD, Nolan M, Lucas S, Tice H, Cheng JF, et al. Complete genome sequence of Aminobacterium colombiense type strain (ALA-1T). Stand Genomic Sci 2010; 2:280-289. [doi:10.4056/sigs.902116] |
| 27. | McInerney MJ, Bryant MP, Hespell RB, Costerton JW. Syntrophomonas wolfei gen. nov. sp. nov., an anaerobic, syntrophic, fatty acid-oxidizing bacterium. Appl Environ Microbiol 1981; 41:1029-1039. [pmid:16345745] |
| 28. | Klenk HP, Göker M. En route to a genome-based classification of Archaea and Bacteria? Syst Appl Microbiol 2010; 33:175-182. [doi:10.1016/j.syapm.2010.03.003] [pmid:20409658] |
| 29. | 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. [doi:10.1038/nature08656] [pmid:20033048] |
| 30. | List of growth media used at DSMZ: http://www.dsmz.de/microorganisms/media_list.php. |
| 31. | DOE Joint Genome Institute. http://www.jgi.doe.gov |
| 32. | Zerbino DR, Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 2008; 18:821-829. [doi:10.1101/gr.074492.107] [pmid:18349386] |
| 33. | Phrap and Phred for Windows, MacOS, Linux, and Unix. www.phrap.com |
| 34. | Sims D, Brettin T, Detter JC, Han C, Lapidus A, Copeland A, Glavina Del Rio T, Nolan M, Chen F, Lucas S, et al. Complete genome sequence of Kytococcus sedentarius type strain (541T). Stand Genomic Sci 2009; 1:12-20. [doi:10.4056/sigs.761] |
| 35. | 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. |
| 36. | Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ. Podigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 2010; 11:119. [doi:10.1186/1471-2105-11-119] [pmid:20211023] |
| 37. | 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. [doi:10.1038/nmeth.1457] [pmid:20436475] |
| 38. | 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. [doi:10.1093/bioinformatics/btp393] [pmid:19561336] |
This work is licensed under a Creative Commons Attribution 3.0 License.
Acknowledgements
We would like to gratefully acknowledge the support of many members of the Genomic Standards Consortium, the broader genomic science community, and those who have indicated their willingness to serve as editors, reviewers and contributors.
Funding for SIGS is provided by a grant from the Office of the Vice President for Research and Graduate Studies at Michigan State University, the Michigan State University Foundation, and the US Department of Energy Biological and Environmental Research DE-FG02-08ER64707.
Standards in Genomic Sciences is indexed in:
![]() | ![]() | ![]() |
![]() | ![]() |
Sponsors of the Genomic Standards Consortium:
![]() |





