Skip to main content
  • Extended genome report
  • Open access
  • Published:

The complete genome sequence of the cold adapted crude-oil degrader: Pedobacter steynii DX4


Pedobacter steynii DX4 was isolated from the soil of Tibetan Plateau and it can use crude oil as sole carbon and energy source at 15 °C. The genome of Pedobacter steynii DX4 has been sequenced and served as basis for analysis its metabolic mechanism. It is the first genome of crude oil degrading strain in Pedobacter genus. The 6.58 Mb genome has an average G + C content of 41.31% and encodes 5464 genes. In addition, annotation revealed that Pedobacter steynii DX4 has cold shock proteins, abundant response regulators for cell motility, and enzymes involved in energy conversion and fatty acid metabolism. The genomic characteristics could provide information for further study of oil-degrading microbes for recovery of crude oil polluted environment.


The crude oil spills occur frequently and they bring serious pollution to the terrestrial and marine environments [1, 2]. In the bioremediation of crude oil contamination, bacteria work as primary degraders [3,4,5]. Numerous strains be capable of degrading hydrocarbons have been singled out and identified from marine and terrestrial environments [6,7,8]. It was also reported that in oil polluted areas, Pedobacter is one of the major members of alkane degrading bacterial communities [9,10,11]. For the first time in Pedobacter genus, a cultured Pedobacter cryoconitis strain was described to have the ability to degrade crude oil [12]. The Pedobacter steynii strain DX4 was isolated from frozen soil of Tibetan Plateau permafrost region. This organism was selected for genome sequencing for it exhibited the capability to utilize and degrade crude oil at a cold temperature (15 °C). In this paper, our aim was to identify genomic signatures for petroleum degradation in this strain, and investigate its application in bioremediation in cold environments.

Organism information

Classification and features

The soil sample was collected from the Dangxiong County (30.5633°N, 91.4221°E, 4488 m ASL) in the Tibetan Plateau, in 2013. The soil sample was preserved at −20 °C immediately after collection and sent to the State Key Laboratory of Cryospheric Sciences, CAS. The soil type belongs to alpine meadow soil. Crude-oil degrading strains were enriched in liquid MM medium added 2% crude oil (v/v) and incubated for 2 weeks at 20 °C [13]. The suspension of culture collection was surface spread onto the 216 L agar plates and cultivated for 5 days at 20 °C [14]. DX4 colonies on 216 L agar plates are light yellow, slightly domed mucoid and circular with smooth margins. DX4 cells are Gram negative rods, motile, non-spore-forming. The scanning electron micrograph is shown in Fig. 1. Additional characteristics of P. steynii DX4 are shown in Table 1. Growth experiment was carried out in 216 L liquid medium at 20 °C and the OD600 of strain DX4 is shown in Fig. 2. In addition, Fig. 3 shows the crude oil degradation rates of the strain DX4. The degradation was carried out in liquid MM medium added 2% crude oil (v/v) at 15 °C for 2 weeks and crude oil was quantified by using gas chromatography and mass spectrometric detector [15].

Fig. 1
figure 1

Scanning electron micrograph of P. steynii DX4

Table 1 Classification and general features of Pedobacter steynii DX4
Fig. 2
figure 2

Growth curve of P. steynii DX4 in 216 L liquid medium at 20 °C. The absortance at 600 nm was measured every 4 h

Fig. 3
figure 3

Degrading rates of crude oil by P. steynii DX4. H1 - H16: serial n-alkanes, from Undecane to Hexacosane. H17- H32: branched alkanes and cycloalkanes, in accordance with the order: Undecane,2,6-dimethyl; Dodecane,2-methyl; Dodecane,2,6,11-trimethyl; Pentadecane, 7-methyl; Octane, 2,3,7-trimethyl; Dodecane, 3-methyl; Dodecane, 2,6,10-trimethyl; 1H-Indene, octahydro-2,2,4,4,7,7-hexamethyl-, trans; Undecane, 5-cyclohexyl; H26:Undecane, 4,8-dimethyl; Decahydro-4,4,8,9,10-pentamethylnaphthalene; Pentadecane, 2-methyl; Pentadecane, 2,6,10-trimethyl; Pentadecane, 8-hexyl; Hexadecane; 2,6,10,14-tetramethyl; Ethyl iso-allocholate

The molecular identification was performed with the 27F-1492R primer to amplify the 16S rRNA sequence. The 16S rRNA from DX4 was 99.64% similar to the Pedobacter steynii WB2.3-45T (AM491372) thus DX4 was identified as a strain of P. steynii .

Figure 4 shows the phylogenetic tree constructed from the 16S rRNA sequence together with other related Pedobacter species using MEGA 5.0 software suite. The evolutionary history was inferred by using Neighbor-joining method based on the maximum composite likehood substitution model [16, 17].

Fig. 4
figure 4

Rooted phylogenetic tree of the 16 S rRNA sequences of Pedobacter steynii strain DX4 and relative species. The 16 S rRNA sequences of Pedobacter species were aligned, and the phylogenetic tree was constructed by using Neighbor-joining method based on the maximum composite likehood substitution model

Genome sequencing information

Genome project history

The strain DX4 was selected for sequencing on the basis of its potential biodegradation capability. The initial Illumina sequencing was performed in April 2016 and the genome was closed by PacBio sequencing in August 2016. The genome project is deposited in the online genome database (NCBI-Genome) and the sequence was released for public access on September 9, 2016. A summary of the project information is shown in the Table 2.

Table 2 Project information of the whole genome sequence of P. steynii DX4

Growth conditions and genomic DNA preparation

Pedobacter steynii DX4 was inoculated into 216 L liquid medium and grown on a shaker (200 rpm) at 20 °C, until the cells OD600nm > 1.0. Genomic DNA was extracted from freshly grown cells using the E.Z.N.A.® Bacterial DNA Kit following the standard protocol prescribed by the manufacturer.

Genome sequencing and assembly

The complete genome sequence of DX4 was sequenced using Illumina HiSeq2000 for the initial sequencing and assembly, followed by PacBio sequencing to fully close the genome sequence [18, 19]. The Illumina platform generated 1,864,026 reads totaling 561,071,826 bp, and the data were assembled into 9 scaffolds by using SOAP denovo V2.3 [20]. The coverage of the paired-end reads was 86×. For gap closure, sequencing was performed using a PacBio SMRT cell, which resulted in 198,008 reads with an average read length of 4973 bp and a coverage of 153×. The alignment of the PacBio reads were assembled with HGAP [21]. Gap closure was managed using the Gap Closer 1.12 and resulting in the final genome of one complete chromosome. This finished genome was deposited in IMG Database with the Project ID: Gp0156107. And this whole-genome project (BioProject ID: PRJNA339039) has also been registered and assembled sequence data submitted at NCBI GenBank under the accession no.CP017141. The Average Nucleotide Identity (ANI) analysis has been carried out by using a online tool [22].

Genome annotation

Glimmer 3.0 was used to predict open reading frames (ORFs) [23]. The rRNA and tRNA gene predictions and the ORFs annotation were conducted by using BLASTp against NCBI-NR database [24], the COG database [25] and the KEGG database [26]. Genes function annotations were assigned when blastp E-values were ≤0.001 [27]. If there was no significant similarity to protein in other organisms, the gene production was described as hypothetical protein.

Genome properties

The genome statistics is shown in Table 3. The genome of Pedobacter steynii DX4 is 6,581,659 base pairs in size, and has a GC content of 41.31%. Out of the total 5464 genes, 23 genes are pseudogenes and 63 are tRNAs, 13 are rRNA genes, 3 are ncRNA genes, 5362 are coding sequences CDSs. Of the total CDSs, 307 are functioning unknown (5.7%), 414 are general function prediction only (7.7%) and the remaining had a defined function. The COG-distribution of genes is shown in Table 4. The genome map (Fig. 5) was visualized by CG view server. The ANI analysis showed Pedobacter steynii DX4 had 83.33% nucleotide identity with Pedobacter steynii DSM 19110. Comparative analysis between Pedobacter strains isolated from polar region was also performed. The P. steynii DX4 presented 79.03% nucleotide identity with P. cryoconitis PAMC 27485 (isolated from Antarctica), 78.42% with P. antarcticus 4BY and 76.39% with P. arcticus A12, revealing the great genetic distance between these strains.

Table 3 Genome statistics
Table 4 Number of genes of Pedobacter steynii DX4 with the general COG functional categories
Fig. 5
figure 5

The genome map of Pedobacter steynii strain DX4.Circle 1: Base pair numbers; Circle 2 and Circle 3:Forward and reverse coding domain sequences, the color coding of the CDS represent different Clusters of Orthologous Groups categories; Circle 4: rRNA and tRNA; Circle 5: % GC plot; Circle 6:GC skew [(GC)/(G + C)]

Insights from the genome sequence

Genome annotation predicted many traits support the adaptability of DX4 to cold and crude oil-contaminated environment. The Five cold shock proteins were predicted (NCBI Protein database: WP_069377418.1, WP_062548063.1, WP_048905418.1, WP_008241764.1 and AOM75720.1). These proteins are supposed to play important roles in low temperature conditions [28]. The related strians isolated from antarctic regions, Pedobacter antarcticus 4BY and Pedobacter cryoconitis PAMC 27485, respectively encoded four cold shock proteins. Based on the COG analysis, 261 genes in total were assigned to the signal transduction category. Among them, 22 genes were predicted to encode the response regulators and 6 were found to encode chemotaxis protein CheY [29]. These genes could play regulatory role in environment sensing and cell motility towards the crude oil.

As for aerobic alkane degradation, alkB gene has been considered as a functional biomarker for alkane-degrading bacterial populations in environmental [30,31,32]. But in P. steynii DX4 genome, no alkB homolog coding genes were found. A gene coding for haloalkane dehalogenase (WP_069382597.1, EC was annotated. Haloalkane dehalogenase (HLD) has considerable environmental significance because it converts haloalkanes to corresponding alcohol and hydrogen halide (KEGG database: RN: R02337,) [33, 34]. In addition to that, three luciferase proteins were identified (WP_069377707.1, WP_069380456.1 and WP_069377640.1). Research showed that the bacteria luciferase can utilize reduced FMN in the oxidation of alkanes with the emission of blue-green light [35, 36]. Figure 6 shows the genes coding for HLD and luciferase protein and adjacent genes upstream and downstream, which may be relevant genes participating in the metabolism of crude oil. In addition, the presence of 19 alcohol dehydrogenase and 23 aldehyde dehydrogenase necessary for alkane degradation as well as 11 fatty acid transport and metabolism genes suggest a complete alkane degradation pathway [37, 38].

Fig. 6
figure 6

Organization of Genes coding for HLD and luciferase and their adjacent genes in P. steynii strain DX4 genome

The antibiotics and secondary metabolite analysis was done using the anti-SMASH platform [39]. In total, 12 secondary metabolite clusters were identified and 11 of them were related to antibiotics. A resorcinol metabolite cluster was identified and this cluster may play important role in the degradation of resorcinol and other aromatic compounds [40]. Interestingly, the 12 secondary metabolite clusters had no similarity with the known clusters, suggesting that the P. steynii strain DX4 may possess novel secondary metabolic pathways.


Pedobacter steynii DX4 was isolated from a cold environment and could utilize crude oil as sole carbon source. The genome of DX4 reported here provides the genetic basis of its crude oil biodegrading mechanism. Genes involved in cold shock, energy conversion and response regulators for cell motility point to the unique abilities of DX4 in oil degradation and cold environment adaptation. Genomic research on DX4 would also provide a blueprint for the application of bioremediation and recovery in cold oil-polluted environments.



Average nucleotide identity


Haloalkane dehalogenase


  1. Evans FF, Rosado AS, Sebastian GV, Casella R, Machado PL, Holmstrom C, et al. Impact of oil contamination and biostimulation on the diversity of indigenous bacterial communities in soil microcosms. FEMS Microbiol Ecol. 2004;49:295–305.

    Article  CAS  PubMed  Google Scholar 

  2. Van Hamme JD, Singh A, Ward OP. Recent advances in petroleum microbiology. Microbiol Mol Biol Rev. 2003;67:503–49.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Walker J, Austin H, Colwell R. Utilization of mixed hydrocarbon substrate by petroleum-degrading microorganisms. J Gen Appl Microbiol. 1975;21:27–39.

    Article  CAS  Google Scholar 

  4. Brown LR. Microbial enhanced oil recovery (MEOR). Curr Opin Microbiol. 2010;13:316–20.

    Article  CAS  PubMed  Google Scholar 

  5. Kimes NE, Callaghan AV, Suflita JM, Morris PJ. Microbial transformation of the Deepwater horizon oil spill-past, present, and future perspectives. Front Microbiol. 2014;5:603.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Megharaj M, Ramakrishnan B, Venkateswarlu K, Sethunathan N, Naidu R. Bioremediation approaches for organic pollutants: a critical perspective. Environ Int. 2011;37:1362–75.

    Article  CAS  PubMed  Google Scholar 

  7. Fernandez-Luqueno F, Valenzuela-Encinas C, Marsch R, Martinez-Suarez C, Vazquez-Nunez E, Dendooven L. Microbial communities to mitigate contamination of PAHs in soil--possibilities and challenges: a review. Environ Sci Pollut Res Int. 2011;18:12–30.

    Article  CAS  PubMed  Google Scholar 

  8. Das N, Chandran P. Microbial degradation of petroleum hydrocarbon contaminants: an overview. Biotechnol Res Int. 2011;2011:941810.

    PubMed  Google Scholar 

  9. Yang Y, Wang J, Liao J, Xie S, Huang Y. Abundance and diversity of soil petroleum hydrocarbon-degrading microbial communities in oil exploring areas. Appl Microbiol Biotechnol. 2015;99:1935–46.

    Article  CAS  PubMed  Google Scholar 

  10. Vázquez S, Nogales B, Ruberto L, Mestre C, Christie-Oleza J, Ferrero M, et al. Characterization of bacterial consortia from diesel-contaminated Antarctic soils: towards the design of tailored formulas for bioaugmentation. Int Biodeterior Biodegr. 2013;77:22–30.

    Article  Google Scholar 

  11. Sun W, Dong Y, Gao P, Fu M, Ta K, Li J. Microbial communities inhabiting oil-contaminated soils from two major oilfields in northern China: implications for active petroleum-degrading capacity. J Microbiol. 2015;53:371–8.

    Article  CAS  PubMed  Google Scholar 

  12. Margesin R. Pedobacter cryoconitis sp. nov., a facultative psychrophile from alpine glacier cryoconite. Int J Syst Evol Microbiol. 2003;53:1291–6.

    Article  CAS  PubMed  Google Scholar 

  13. Wang B, Lai Q, Cui Z, Tan T, Shao Z. A pyrene-degrading consortium from deep-sea sediment of the West Pacific and its key member Cycloclasticus sp. P1. Appl Environ Microbiol. 2008;10:1948–63.

    CAS  Google Scholar 

  14. Wang W, Wang L, Shao Z. Diversity and abundance of oil-degrading bacteria and alkane hydroxylase (alkB) genes in the subtropical seawater of Xiamen Island. Adv Microb Ecol. 2010;60:429–39.

    Article  Google Scholar 

  15. Whyte LG, Bourbonniére L, Greer CW. Biodegradation of petroleum hydrocarbons by psychrotrophic pseudomonas strains possessing both alkane (alk) and naphthalene (nah) catabolic pathways. Appl Environ Microbiol. 1997;63:3719–23.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Seemüller E, Schneider B, Mäurer R, Ahrens U, Daire X, Kison H, et al. Phylogenetic classification of phytopathogenic mollicutes by sequence analysis of 16S ribosomal DNA. Int J Syst Bacteriol. 1994;44:440–6.

    Article  PubMed  Google Scholar 

  17. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25.

    CAS  PubMed  Google Scholar 

  18. Bosma EF, Koehorst JJ, van Hijum SA, Renckens B, Vriesendorp B, van de Weijer AH, et al. Complete genome sequence of thermophilic Bacillus Smithii type strain DSM 4216(T). Stand Genomic Sci. 2016;11:52.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Quail MA. Smith M, Coupland P, Otto TD, Harris SR, TR Connor, et al. a tale of three next generation sequencing platforms: comparison of ion torrent, Pacific biosciences and Illumina MiSeq sequencers. BMC Genomics. 2012;13:1–13.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Luo R, Liu B, Xie Y, Li Z, Huang W, Yuan J, et al. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience. 2012;1:1–6.

    Article  Google Scholar 

  21. Chin CS, Alexander DH, Marks P, Klammer AA, Drake J, Heiner C, et al. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Meth. 2013;10:563–9.

    Article  CAS  Google Scholar 

  22. Operon Prediction Tool. Accessed 15 Jan 2017.

  23. Delcher AL, Bratke KA, Powers EC, Salzberg SL. Identifying bacterial genes and endosymbiont DNA with glimmer. Bioinformatics. 2007;23:673–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. The Nucleotide database. Accessed 12 July 2017.

  25. The Clusters of Orthologous Groups database. Accessed 12 July 2017.

  26. Kyoto Encyclopedia of Genes and Genomes Database. Accessed 12 July 2017.

  27. Kelley LA, Sternberg MJ. Protein structure prediction on the web: a case study using the Phyre server. Nat Protoc. 2009;4:363–71.

    Article  CAS  PubMed  Google Scholar 

  28. Chattopadhyay MK. Mechanism of bacterial adaptation to low temperature. J Biosci. 2006;31:157–65.

    Article  CAS  PubMed  Google Scholar 

  29. Bourret RB, Hess JF, Simon MI. Conserved aspartate residues and phosphorylation in signal transduction by the chemotaxis protein CheY. Proc Natl Acad Sci U S A. 1990;87:41–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Emanuele K, Sebben BG, Helena PV. New alk genes detected in Antarctic marine sediments. Appl Environ Microbiol. 2009;11:669–73.

    Google Scholar 

  31. Wallisch S, Gril T, Dong X, Welzl G, Bruns C, Heath E, et al. Effects of different compost amendments on the abundance and composition of alkB harboring bacterial communities in a soil under industrial use contaminated with hydrocarbons. Front Microbiol. 2014;5:96.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Wang W, Wang L, Shao Z. Diversity and abundance of oil-degrading bacteria and alkane hydroxylase (alkB) genes in the subtropical seawater of Xiamen Island. Microb Ecol. 2010;60:429–39.

    Article  PubMed  Google Scholar 

  33. Verschueren KH, Seljée F, Rozeboom HJ, Kalk KH, Dijkstra BW. Crystallographic analysis of the catalytic mechanism of haloalkane dehalogenase. Nature. 1993;363:693–8.

    Article  CAS  PubMed  Google Scholar 

  34. Janssen DB. Evolving haloalkane dehalogenases. Curr Opin Chem Biol. 2004;8:150–9.

    Article  CAS  PubMed  Google Scholar 

  35. Ellis HR. The FMN-dependent two-component monooxygenase systems. Arch Biochem Biophys. 2010;497:1–12.

    Article  CAS  PubMed  Google Scholar 

  36. Li L, Liu X, Yang W, Xu F, Wang W, Feng L, et al. Crystal structure of long-chain alkane monooxygenase (LadA) in complex with coenzyme FMN: unveiling the long-chain alkane hydroxylase. J Mol Biol. 2008;376:453–65.

    Article  CAS  PubMed  Google Scholar 

  37. Bowman JS, Deming JW. Alkane hydroxylase genes in psychrophile genomes and the potential for cold active catalysis. BMC Genomics. 2014;15:1120.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Nie Y, Tang YQ, Li Y, Chi CQ, Cai M, Wu XL, et al. Nce of Polymorphum gilvum SL003B-26A1T reveals its genetic basis for crude oil degradation and adaptation to the saline soil. PLoS One. 2012;7:e31261.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Helfrich EJ, Reiter S, Piel J. Recent advances in genome-based polyketide discovery. Curr Opin Biotechnol. 2014;29C:107–15.

    Article  Google Scholar 

  40. Kumari B, Singh SN, Singh DP. Characterization of two biosurfactant producing strains in crude oil degradation. Process Biochem. 2012;47:2463–71.

    Article  CAS  Google Scholar 

  41. Woese CR, Kandler O, Wheelis ML. Towards a natural system of organisms: proposal for the domains Archaea, bacteria, and Eucarya. Proc Natl Acad Sci U S A. 1990;87:4576–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Euzeby J. List of new names and new combinations previously effectively, but not validly, published--Validation List no. 118. Int J Syst Evol Microbiol. 2007;57:2449-50.

  43. Krieg NR, Ludwig W, Euzéby J, Whitman WB. Phylum XIV. Bacteroidetes phyl. Nov.: Springer; 2010. p. 25–New York, 469.

  44. Kämpfer P, Lodders N, Martin K, Avendaño-Herrera R. Flavobacterium Chilense sp. nov. and Flavobacterium araucananum sp. nov., isolated from farmed salmonid fish. Int J Syst Evol Microbiol. 2012;62:1402–8.

    Article  PubMed  Google Scholar 

  45. Bell TH, Yergeau E, Martineau C, Juck D, Whyte LG, Greer CW. Identification of nitrogen-incorporating bacteria in petroleum-contaminated arctic soils by using [15N]DNA-based stable isotope probing and pyrosequencing. Appl Environ Microbiol. 2011;77:4163–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Kämpfer P. Sphingobacteriia class. nov. Hoboken: Wiley; 2015.

  47. Steyn PL, Segers P, Vancanneyt M, Sandra P, Kersters K, Joubert JJ. Classification of heparinolytic bacteria into a new genus, Pedobacter, comprising four species: Pedobacter heparinus comb. nov., Pedobacter piscium comb. nov., Pedobacter africanus sp. nov. and Pedobacter saltans sp. nov. proposal of the family Sphingobact. Int J Syst Bacteriol. 1998;48(Pt 1):165–77.

    Article  CAS  PubMed  Google Scholar 

  48. Validation EJ, No L. 143. List of new names and new combinations previously effectively, but not validly, published. Int J Syst Evol Microbiol. 2012;62:1–4.

    Article  Google Scholar 

  49. Muurholm S, Cousin S, Päuker O, Brambilla E, Stackebrandt E. Pedobacter duraquae sp. nov., Pedobacter westerhofensis sp. nov., Pedobacter metabolipauper sp. nov., Pedobacter hartonius sp. nov. and Pedobacter steynii sp. nov., isolated from a hard-water rivulet. Int J Syst Evol Microbiol. 2007;57:2221–7.

    Article  CAS  PubMed  Google Scholar 

  50. Margesin R, Spröer C, Schumann P, Schinner F. Pedobacter cryoconitis sp nov., a facultative psychrophile from alpine glacier cryoconite. Int J Syst Evol Microbiol. 2003;53:1291–6.

    Article  CAS  PubMed  Google Scholar 

  51. Shivaji S, Chaturved P, Reddy GS, Suresh K. Pedobacter himalayensis sp. nov., from the Hamta glacier located in the Himalayan mountain ranges of India. Int J Syst Evol Microbiol. 2005;55:1083–8.

    Article  CAS  PubMed  Google Scholar 

Download references


This study is supported by grants from the International Scientific and Technological Cooperation Projects of the Ministry of Science and Technology (2014DFA30330), the National Science Foundation of China (41271265).

Author information

Authors and Affiliations



SJC and GSZ initiated the study. GSZ, TC and GXL designed the research and project outline. SJC, GSZ and XMC drafted the manuscript. HZL and YLW isolated the strain. SJC and XMC assembled and annotated the genome. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Tuo Chen.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, S., Zhang, G., Chen, X. et al. The complete genome sequence of the cold adapted crude-oil degrader: Pedobacter steynii DX4. Stand in Genomic Sci 12, 45 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: