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Complete genome sequence of Cellulophaga lytica type strain (LIM-21T)
Standards in Genomic Sciences volume 4, pages221–232(2011)
Cellulophaga lytica (Lewin 1969) Johansen et al. 1999 is the type species of the genus Cellulophaga which belongs to the family Flavobacteriaceae within the phylum ‘Bacteroidetes’ and was isolated from marine beach mud in Limon, Costa Rica. The species is of biotechnological interest because its members produce a wide range of extracellular enzymes capable of degrading proteins and polysaccharides. After the genome sequence of Cellulophaga algicola this is the second completed genome sequence of a member of the genus Cellulophaga. The 3,765,936 bp long genome with its 3,303 protein-coding and 55 RNA genes consists of one circular chromosome and is a part of the Genomic Encyclopedia of Bacteria and Archaea project.
Strain LIM-21T (DSM 7489 = ATCC 23178 = JCM 8516) is the type strain of the species Cellulophaga lytica, which is the type species of the genus Cellulophaga . The genus currently consists of five more validly named species : C. algicola , C. baltica, C. fucicola , C. pacifica  and C. tyrosinoxydans . The species was first described in 1969 by Lewin as ‘Cytophaga lytica’ , and was subsequently transferred to the novel genus Cellulophaga as type strain C. lytica . The genus name is derived from the Neo-Latin word ‘cellulosum’ meaning ‘cellulose’ and the latinized Greek word ‘phagein’ meaning ‘to eat’, yielding the Neo-Latin word ‘Cellulophaga’ meaning ‘eater of cellulose’ . The species epithet is derived from the Neo-Latin word ‘lytica’ (loosening, dissolving) . Here we present a summary classification and a set of features for C. lytica strain LIM-21T, together with the description of the complete genomic sequencing and annotation.
Classification and features
A representative genomic 16S rRNA sequence of strain LIM-21T was compared using NCBI BLAST 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  and the relative frequencies, weighted by BLAST scores, of taxa and keywords (reduced to their stem ) were determined. The five most frequent genera were Cellulophaga (37.3%), Flavobacterium (8.5%), Cytophaga (6.3%), Aquimarina (5.8%) and Arenibacter (5.7%) (141 hits in total). Regarding the ten hits to sequences from members of the species, the average identity within HSPs was 99.0%, whereas the average coverage by HSPs was 93.3%. Regarding the eleven hits to sequences from other members of the genus, the average identity within HSPs was 94.0%, whereas the average coverage by HSPs was 93.1%. Among all other species, the one yielding the highest score was Cytophaga lytica (M62796), which corresponded to an identity of 99.2% and an HSP coverage of 96.9%. (Note that the Greengenes databases uses the INSDC (= EMBL/NCBI/DDBJ) annotation, which is not an authoritative source for nomenclature or classification). The highest-scoring environmental sequence was EU246790 (‘Identification microorganism Libya untreated Mediterranean sea water feed reverse osmosis plant isolate RSW1-4RSW1-4 str. RSW1-4’), which showed an identity of 100.0% and an HSP coverage of 96.2%. The five most frequent keywords within the labels of environmental samples which yielded hits were ‘sea’ (5.6%), ‘water’ (4.8%), ‘marin’ (3.6%), ‘sediment’ (3.1%) and ‘surfac’ (2.8%) (109 hits in total). The single most frequent keyword within the labels of environmental samples which yielded hits of a higher score than the highest scoring species was ‘feed, identif, libya, mediterranean, microorgan, osmosi, plant, revers, sea, untreat, water’ (9.1%) (1 hit in total).
Figure 1 shows the phylogenetic neighborhood of C. lytica in a 16S rRNA based tree. The sequence of the four 16S rRNA gene copies in the genome differ from each other by up to four nucleotides, and differ by up to 15 nucleotides from the previously published 16S rRNA sequence (D12666), which contains 19 ambiguous base calls.
The cells of C. lytica are slender flexible rods, cylindrical with blunt ends. Their lengths and widths range from 1.5–10 and 0.3–0.4 µm, respectively (Figure 2 and Table 1) . C. lytica is motile by gliding . Colonies have a bright yellow color caused by zeaxanthin as the main pigment; flexirubin-type pigments are not formed [24,28]. C. lytica requires Na+ and grows at NaCl concentrations up to 8% [3,5], in the presence of 10% NaCl no growth was observed . The temperature range for growth is between 4°C  and 40°C , with an optimum between 22–30°C .
C. lytica is aerobic and chemoorganotrophic . The organism can degrade agar, alginate, gelatin and starch [24,25], but not casein, cellulose (filter paper), chitin, alginic acid, elastin or fibrinogen [1,25]. There are conflicting observations describing the ability of C. lytica to degrade carboxymethylcellulose (CMC). Whereas most authors [3,5,24,25] describe the hydrolysis of CMC, Nedashkovskaya et al. 2004  did not observe its degradation by C. lytica. Nitrate reduction and denitrification are negative . C. lytica is catalase  and oxidase positive . Acid is formed oxidatively from cellobiose, galactose, glucose, lactose, maltose and xylose . C. lytica is sensitive to oleandomycin, lincomycin and shows resistance to benzylpenicillin, carbencillin, gentamicin, kanamycin, neomycin, ampicillin, streptomycin and tetracycline .
The fatty acid profiles of four C. lytica strains were analyzed by Bowman in 2000 . The predominant cellular acids of these four analyzed C. lytica strains were branched-chain saturated and unsaturated fatty acids and straight-chain saturated and monounsaturated fatty acids, namely i-C15:0 (18.9%), i-C15:1ω10c (10.3%), i-C17:1ω7c (5.1%), C15:0 (9.3%), C16:1ω7c (9.0%), i-C15:0 3-OH (6.2%), i-C16:0 3-OH (5.2%) and i-C17:0 3-OH (20.8%) . The isoprenoid quinones of C. lytica were not determined, but for C. pacifica the presence of MK-6 as the major lipoquinone was described . Polar lipids have not been studied.
Genome sequencing and annotation
Genome project history
This organism was selected for sequencing on the basis of its phylogenetic position , and is part of the Genomic Encyclopedia of Bacteria and Archaea project . The genome project is deposited in the Genomes On Line Database  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.
Growth conditions and DNA isolation
C. lytica LIM-21T, DSM 7489, was grown in DSMZ medium 514 (BACTO marine broth)  at 28°C. DNA was isolated from 0.5–1 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/DL for cell lysis as described in Wu et al. . DNA is available through the DNA Bank Network .
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 . Pyrosequencing reads were assembled using the Newbler assembler version 2.5-internal-10Apr08 (Roche). The initial Newbler assembly consisting of 28 contigs in one scaffold was converted into a phrap version SPS - 4.24  assembly by making fake reads from the consensus, to collect the read pairs in the 454 paired end library. Illumina GAii sequencing data (3,907 Mb) was assembled with Velvet  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 156.1 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  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 , Dupfinisher , or sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI). Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks (J.-F.Chang, unpublished). A total of 238 additional reactions and two 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 . 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 1,628.1 × coverage of the genome. The final assembly contained 282,018 pyrosequence and 78,832,334 Illumina reads.
Genes were identified using Prodigal  as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline . The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) nonredundant 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 .
The genome consists of a 3,765,936 bp long chromosome with a G+C content of 32.1% (Table 3 and Figure 3). Of the 3,358 genes predicted, 3,303 were protein-coding genes, and 55 RNAs; 19 pseudogenes were also identified. The majority of the protein-coding genes (65.5%) 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.
Insights from the genome sequence
A closer look at the genome sequence of strain LIM-21T revealed a set of genes which might be responsible for the yellow-orange color of C. lytica cells by encoding enzymes that are involved in the synthesis of carotenoids. Carotenoids are produced by the action of geranylgeranyl pyrophosphate synthase (Celly_1682), phytoene synthase (Celly_0459), phytoene desaturase (Celly_0458), lycopene cyclase (Celly_0462) and carotene hydroxylase (Celly_0461). Geranylgeranyl pyrophosphate synthases start the biosynthesis of carotenoids by combining farnesyl pyrophosphate with C5 isoprenoid units to C20-molecules, geranylgeranyl pyrophosphate. The phytoene synthase catalyzes the condensation of two geranylgeranyl pyrophosphate molecules followed by the removal of diphosphate and a proton shift leading to the formation of phytoene. Sequential desaturation steps are conducted by the phytoene desaturase followed by cyclization of the ends of the molecules catalyzed by the lycopene cyclase . This above mentioned set of genes was also found in the genome of C. algicola .
Strain LIM 21T produces a wide range of extracellular enzymes degrading proteins and polysaccharides. C. lytica, like the other members of the genus Cellulophaga, cannot hydrolyze filter paper or cellulose in its crystalline form, though they can hydrolyze the soluble cellulose derivative carboxymethylcellulose (CMC). The genome sequence of strain LIM 21T revealed the presence of three cellulases (Celly_0269, Celly_0304, Celly_0965), probably responsible for the hydrolysis of CMC. In addition two β-glucosidases (Celly_3249, Celly_1282) were identified in the genome, catalyzing the breakdown of the glycosidic β-1,4 bond between two glucose molecules in cellobiose. The deduced amino acid sequence of Celly_0304 shows 90% identity to the deduced sequence of the C. algicola cellulase coding gene Celly_0025. The identity of the deduced amino acid sequences of the cellulase encoding genes Celly_0269 and Celly_2753 is 65%. The neighborhoods of these two C. lytica cellulase genes have a similar structure like the respective genome regions in C. algicola, with orthologs belonging to different COG categories.
The LIM 21T genome contains 15 genes coding for sulfatases, which are located in close proximity to glycoside hydrolase genes suggesting that sulfated polysaccharides may be used as substrates. α-L-fucoidan could be a substrate, as three α-L-fucosidases (Celly_0440, Celly_0442, Celly_0449) are located in close proximity to nine sulfatases (Celly_0432, Celly_0425, Celly_0426, Celly_0436, Celly_0431, Celly_0433, Celly_0435, Celly_0438, Celly_0444). Sakai and colleagues report the existence of intracellular α-L-fucosidases and sulfatases, which enable ‘Fucophilus fucoidanolyticus’ to degrade fucoidan .
The above mentioned sulfatases and fucosidases containing region of C. lytica is similar to the recently described region of C. algicola with five α-L-fucosidases and three sulfatases . This fucoidan degrading ability could be also shared by Coraliomargarita akajimensis, as the annotation of the genome sequence revealed the existence of 49 sulfatases and 12 α-L-fucosidases .
The genomes of the two recently sequenced Cellulophaga type strains differ significantly in their size, C. lytica having 3.8 Mb and C. algicola 4.9 Mb and their number of pseudogenes, 19 (0.6%) and 122 (2.8%), respectively. Liu et al., 2004 have shown that pseudogenes in prokaryotes are not uncommon; the analysis of 64 genomes, including archaea, pathogen and nonpathogen bacteria, revealed an occurrence of pseudogenes of at least 1–5% of all gene-like sequences, with some genomes containing considerably higher amounts .
To estimate the overall similarity between the genomes of C. lytica and C. algicola the GGDC-Genome-to-Genome Distance Calculator [45,46] was used. The system calculates the distances by comparing the genomes to obtain HSPs (high-scoring segment pairs) and interfering distances from the set of formulas (1, HSP length / total length; 2, identities / HSP length; 3, identities / total length). The comparison of the genomes of C. lytica with C. algicola revealed that 25% of the average of both genome lengths are covered with HSPs. The identity within these HSPs was 82%, whereas the identity over the whole genome was only 20%. These results demonstrate that according to the whole genomes of C. lytica and C. algicola the similarity is not very high, although the comparison of 16S rRNA gene sequences showed only 7.7% differences.
In order to compare the C. lytica and C. algicola genomes, correlation values (Pearson coefficient) according to the similarity on the level of COG category, pfam, enzymes and TIGRfam were calculated. The highest correlation value (0.98) was reached on the level of pfam data; the correlation values on the basis of COG, enzyme and TIGRfam data were 0.88, 0.92 and 0.93, respectively. As a correlation value of 1 indicates the highest correlation, we can find a quite high correlation between the genomes of C. lytica and C. algicola at least considering the pfam data .
The comparison of the number of genes belonging to the different COG categories revealed no large differences in the genomes of C. lytica and C. algicola. A slightly higher fraction of genes belonging in the categories transcription (C. lytica 8.63%, C. algicola 6.85%), translation (C. lytica 7.34%, C. algicola 6.30%), amino acid metabolism (C. lytica 9.25%, C. algicola 8.19%), inorganic ion transport and metabolism (C. lytica 7.58%, C. algicola 6.85%) and posttranslational modification (C. lytica 4.72%, C. algicola 3.90%) were identified in C. lytica. The part of genes belonging to the following COG categories was slightly smaller in C. lytica than in C. algicola: carbohydrate metabolism (C. lytica 5.82%, C. algicola 6.77%), defense mechanisms (C. lytica 1.95%, C. algicola 2.48%), secondary metabolites biosynthesis (C. lytica 1.38%, C. algicola 2.05%).
The synteny dot plot in Figure 4 shows a nucleotide based comparison of the genomes of C. lytica and C. algicola. Only in some parts of the genome a relatively high degree of similarity becomes visible. There exists a fragmented collinearity between the two genomes.
The Venn-diagram (Figure 5) shows the number of shared genes. C. lytica and C. algicola share a great number of genes (592 genes) that are not present in the genome of Flavobacterium johnsoniae . This fraction of genes includes genes coding for enzymes that are responsible for the degradation of polysaccharides, for example fucoidan and agar. While 15 sulfatases and three α-L-fucosidases were identified in the genome of C. lytica, and 22 sulfatases and five α-L-fucosidases were identified in the genome of C. algicola, only four sulfatase genes and no α-L-fucosidase genes were identified in the genome of F. johnsoniae. In addition, three agarases were identified in the genomes of C. lytica and C. algicola, each, whereas the genome of F. johnsoniae contains no agarase gene. F. johnsoniae is a chitin hydrolyzing organism; the genes involved in the utilization of chitin were described by McBride et al. (2009) . C. lytica [1,25] and C. algicola  are non-chitinolytic, and there were no homologs to the chitin utilizing loci of F. johnsoniae identified in their genomes. To the group of genes that are shared by all three genomes belong the genes that code for enzymes which are involved in the biosynthesis of carotenoids, e.g. phytoene desaturase and phytoene synthase. But in contrast to the Cellulophaga species F. johnsoniae also produces flexirubin. The genes which are involved in the flexirubin synthesis of F. johnsoniae were identified by McBride et al. (2009) .
Johansen JE, Nielsen P, Sjøholm C. Description of Cellulophaga báltica gen. nov., sp. nov. and Cellulophaga fucicola gen. nov., sp. nov. and reclassification of [Cytophaga] lytica to Cellulophaga lytica gen. nov., comb. nov. Int J Syst Bacteriol 1999; 49:1231–1240. PubMed doi:10.1099/00207713-49-3-1231
Euzéby JP. List of bacterial names with standing in nomenclature: A folder available on the Internet. Int J Syst Bacteriol 1997; 47:590–592. PubMed doi:10.1099/00207713-47-2-590
Bowman JP. Description of Cellulophaga algicola sp. nov., isolated from the surfaces of Antarctic algae, and reclassification of Cytophaga uliginosa (ZoBell and Upham 1944) Reichenbach 1989 as Cellulophaga uliginosa comb. nov. Int J Syst Evol Microbiol 2000; 50:1861–1868. PubMed
Nedashkovskaya OI, Suzuki M, Lysenko AM, Snauwaert C, Vancanneyt M, Swings J, Vysotskii MV, Mikhailov VV. Cellulophaga pacifica sp. nov. Int J Syst Evol Microbiol 2004; 54:609–613. PubMed doi:10.1099/ijs.0.02737-0
Kahng HY, Chung BS, Lee DH, Jung JS, Park JH, Joen CO. Cellulophaga tyrosinoxydans sp. nov., a tyrosinase producing bacterium isolated from seawater. Int J Syst Evol Microbiol 2009; 59:654–657. PubMed doi:10.1099/ijs.0.003210-0
Skerman VBD, McGowan V, Sneath PHA, eds. Approved Lists of Bacterial Names. [Approved Lists of Bacterial Names in IJSEM Online — Approved Lists of Bacterial Names Amended edition]. Int J Syst Bacteriol 1980; 30:225–420. doi:10.1099/00207713-30-1-225
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 doi:10.1128/AEM.03006-05
Porter MF. An algorithm for suffix stripping. Program: electronic library and information systems 1980; 14:130–137. doi:10.1108/eb046814
Lee C, Grasso C, Sharlow MF. Multiple sequence alignment using partial order graphs. Bioinformatics 2002; 18:452–464. PubMed doi:10.1093/bioinformatics/18.3.452
Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol 2000; 17:540–552. PubMed
Stamatakis A, Hoover P, Rougemont J. A rapid bootstrap algorithm for the RAxML Web servers. Syst Biol 2008; 57:758–771. PubMed doi:10.1080/10635150802429642
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
Liolios K, Chen IM, Mavromatis K, Tavernarakis N, Hugenholtz P, Markowitz VM, 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 doi:10.1093/nar/gkp848
Abt B, Lu M, Misra M, Han C, Nolan M, Lucas S, Hammon N, Deshpande S, Cheng JF, Tapia R, et al. Complete genome sequence of Cellulophaga algicola type strain (IC166T). Stand Genomic Sci 2011; 4:72–80. PubMed doi:10.4056/sigs.1543845
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 doi:10.1038/nbt1360
Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya. Proc Natl Acad Sci USA 1990; 87:4576–4579. PubMed doi:10.1073/pnas.87.12.4576
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.
Ludwig W, Euzeby J, Whitman WG. Draft taxonomic outline of the Bacteroidetes, Planctomycetes, Chlamydiae, Spirochaetes, Fibrobacteres, Fusobacteria, Acidobacteria, Verrucomicrobia, Dictyoglomi, and Gemmatimonadetes. http://www.bergeys.org/outlines/Bergeys_Vol_4_Outline.pdf. Taxonomic Outline 2008
Garrity GM, Holt J. Taxonomic outline of the Archaea and Bacteria. In: Bergey’s Manual of Systematic Bacteriology, 2nd ed. vol. 1. The Archaea, deeply branching and phototrophic bacteria. Garrity GM, Boone DR, Castenholz RW (eds). 2001; 155–166.
Bernardet JF, Nakagawa Y, Holmes B. Proposed minimal standards for describing new taxa of the family F!avobacteriaceae and emended description of the family. Int J Syst Evol Microbiol 2002; 52:1049–1070. PubMed doi:10.1099/ijs.0.02136-0
List Editor. Validation of the publication of new names and new combinations previously effectively published outside the IJSB. List no. 41. Int J Syst Bacteriol 1992; 42:327–328. doi:10.1099/00207713-42-2-327
Reichenbach H. Order 1. Cytophagales Leadbetter 1974, 99AL. In: Holt JG (ed), Bergey’s Manual of Systematic Bacteriology, First Edition, Volume 3, The Williams and Wilkins Co., Baltimore, 1989, p. 2011–2013.
Bernardet JF, Segers P, Vancanneyt M, Berthe F, Kersters K, Vandamme P. Cutting a Gordian knot: emended classification and description of the genus Flavobacterium, emended description of the family Flavobacteriaceae, and proposal of Flavobacterium hydatis nom. nov. (Basonym, Cytophaga aquatilis Strohl and Tait 1978). Int J Syst Bacteriol 1996; 46:128–148. doi:10.1099/00207713-46-1-128
Lewin RA. A classification of flexibacteria. J Gen Microbiol 1969; 58:189–206. PubMed
Reichenbach H. Genus I. Cytophaga Winogradsky 1929, 577, (AL) emend. In: Staley JT, Bryant MP, Pfenning N, Holt JG (eds). Bergey’s manual of systematic bacteriology. Vol. 3. Baltimore, Md. Williams & Wilkins, 1989, pp. 2015–2050.
BAuA. Classification of bacteria and archaea in risk groups. TRBA 2005; 466:84.
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. PubMed doi:10.1038/75556
Lewin RA, Lounsbery DM. Isolation, Cultivation and Characterization of Flexibacteria. J Gen Microbiol 1969; 58:145–170. PubMed
Klenk HP, Göker M. En route to a genome-based classification of Archaea and Bacteria? Syst Appl Microbiol 2010; 33:175–182. PubMed doi:10.1016/j.syapm.2010.03.003
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 doi:10.1038/nature08656
List of growth media used at DSMZ: http://www.dsmz.de/microorganisms/media_list.php.
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. Biopreservation and Biobanking 2011; 9:51–55. doi:10.1089/bio.2010.0029
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 doi:10.1101/gr.074492.107
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.
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.
Hyatt D, Chen GL, LoCascio PF, Land ML, Larimer FW, Hauser LJ. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 2010; 11:119. PubMed doi:10.1186/1471-2105-11-119
Pati A, Ivanova NN, Mikhailova N, Ovchinnikova G, Hooper SD, Lykidis A, Kyrpides NC. GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes. Nat Methods 2010; 7:455–457. PubMed doi:10.1038/nmeth.1457
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 doi:10.1093/bioinformatics/btp393
Sandmann G. Carotenoid biosynthesis and biotechnological application. Arch Biochem Biophys 2001; 385:4–12. PubMed doi:10.1006/abbi.2000.2170
Sakai T, Ishizuka K, Kato I. Isolation and characterization of fucoidan-degrading marine bacterium. Mar Biotechnol 2003; 5:409–416. PubMed doi:10.1007/s10126-002-0118-6
Mavromatis K, Abt B, Brambilla E, Lapidus A, Copeland A, Desphande S, Nolan M, Lucas S, Tice H, Cheng JF. Complete genome sequence of Coraliomargarita akajimensis type strain (04OKA010-24T). Stand Genomic Sci 2010; 2:290–299. PubMed doi:10.4056/sigs.952166
Liu Y, Harrison PM, Kunin V, Gerstein M. Comprehensive analysis of pseudogenes in prokaryotes: widespread gene decay and failure of putative horizontally transferred genes. Genome Biol 2004; 5:R64. PubMed doi:10.1186/gb-2004-5-9-r64
Auch AF, Von Jan M, Klenk HP, 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. PubMed doi:10.4056/sigs.531120
Auch AF, Klenk HP, Göker M. Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs. Stand Genomic Sci 2010; 2:142–148. PubMed doi:10.4056/sigs.541628
McBride MJ, Xie G, Martens EC, Lapidus A, Henrissat B, Rhodes RG, Goltsman E, Wang W, Xu J, Hunnicutt DW. Novel features of the polysaccharide-digesting gliding bacterium Flavobacterium johnsoniae as revealed by genome sequence analysis. Appl Environ Microbiol 2009; 75:6864–6875. PubMed doi:10.1128/AEM.01495-09
We would like to gratefully acknowledge the help of Maren Schröder (DSMZ) for growing C. lytica cultures. This work was performed under the auspices of the US Department of Energy’s 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.
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Pati, A., Abt, B., Teshima, H. et al. Complete genome sequence of Cellulophaga lytica type strain (LIM-21T). Stand in Genomic Sci 4, 221–232 (2011). https://doi.org/10.4056/sigs.1774329
- motile by gliding