Abstract
We describe the draft genome sequence of Pseudomonas putida strain LS46, a novel isolate that synthesizes medium-chain-length polyhydroxyalkanoates. The draft genome of P. putida LS46 consists of approximately 5.86 million bp, with a G+C content of 61.69%. A total of 5,316 annotated genes and 5,219 coding sequences (CDS) were identified.
GENOME ANNOUNCEMENT
The genus Pseudomonas is comprised of a heterogeneous group of Gram-negative bacteria with diverse metabolic potential that reflects the different environments from which these species were isolated (1). They belong to the class Gammaproteobacteria, and to date, the Pseudomonas genome database lists 132 completed or draft genome sequences (2, 3). Pseudomonas putida strains have versatile metabolic capacity and have been developed as biocontrol agents for plant diseases, as bioremediation agents, and as commercial strains for biopolymer production (4, 5).
Here we report the genome sequence of P. putida strain LS46, which was isolated by enrichment from wastewater on the basis of its ability to synthesize medium-chain-length polyhydroxyalkanoates (mcl-PHAs). P. putida LS46 can utilize glucose, glycerol (including biodiesel-derived glycerol), fatty acids, vegetable oils, and waste fryer oils as carbon sources and synthesizes mcl-PHAs consisting of 3-hydroxy fatty acids with 6 to 14 carbon atoms (6).
The sequencing of P. putida strain LS46 was performed at McGill University, Montreal, Quebec, Canada, using a combination of Illumina Gaii (7) and 454 (8) technologies. The draft assembly was generated at the Genome Science Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, combining the Illumina shotgun library, which contained 310,429,960 reads, and a paired-end 454 library with an average insert size of 8 kb, which contained 230,815 reads totaling 85 Mb. An estimated 300-fold coverage of Illumina data was assembled with VELVET, version 1.1.05 (9), and the consensus sequences were computationally shredded into 1.5-kb overlapping sequences. These 1.5-kb sequences and the estimated 15-fold coverage of 454 paired-end data were assembled together with Newbler, version 2.6. The Newbler consensus sequences were computationally shredded into 2-kb overlapping fake reads (shreds). All data were additionally assembled together with Allpaths, version 39750, and the consensus sequence was computationally shredded into 10-kb overlapping fake reads (shreds). We integrated the 454 Newbler consensus shreds, the Illumina VELVET consensus shreds, Allpaths consensus shreds, and the read-pairs in the 454 paired-end library using parallel Phrap, version SPS-4.24 (High Performance Software, LLC). Possible misassemblies and gaps were resolved using a series of Perl and Java scripts, combined with manual editing in Consed (10, 11, 12). The total size of the high-quality draft genome sequence is 5.8 Mb.
The genome of P. putida LS46 consists of 5,862,556 bp with a G+C content of 61.69%. A total of 5,316 genes and 5,219 coding sequences (CDS) were present. Among RNA genes, 23 rRNA genes (8 5S, 7 16S, and 8 23S) and 74 tRNA genes were identified. The genome sequence of P. putida LS46 is similar to the nine genome sequences of P. putida strains (KT2440, F1, GB-1, W619, BIRD-1, S16, ND6, UW4, and DOT-T1E) available at the Joint Genome Institute website (http://img.jgi.doe.gov), but the P. putida LS46 genome has unique features which differentiate it from the genomes of these other strains (1).
Nucleotide sequence accession number.
The genome sequence of P. putida LS46 has been deposited in the GenBank database under accession number ALPV00000000. The version described in this paper is the first version.
ACKNOWLEDGMENTS
This research was funded by Genome Canada through the Applied Genomics Research in Bioproducts or Crops (ABC) program and the Government of Manitoba, Department of Innovation, Energy and Mines (IEM), Manitoba Research and Innovation Fund (MRIF) and Agricultural and Rural Development Initiative (ARDI).
Footnotes
Citation Sharma PK, Fu J, Zhang X, Fristensky BW, Davenport K, Chain PSG, Sparling R, Levin DB. 2013. Draft genome sequence of medium-chain-length polyhydroxyalkanoate-producing Pseudomonas putida strain LS46. Genome Announc. 1(2):e00151-13. doi:10.1128/genomeA.00151-13.
REFERENCES
- 1. Wu X, Monchy S, Taghavi S, Zhu W, Ramos J, Van der Lelie D. 2011. Comparative genomics and functional analysis of niche-specific adaptation in Pseudomonas putida. FEMS Microbiol. Rev. 35:299–323 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Winsor GL, Lam DK, Fleming L, Lo R, Whiteside MD, Yu NY, Hancock RE, Brinkman FS. 2011. Pseudomonas genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomes. Nucleic Acids Res. 39:D596–D600 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Silby MW, Winstanley C, Godfrey SAC, Levy SB, Jackson RW. 2011. Pseudomonas genomes: diverse and adaptable. FEMS Microbiol. Rev. 35:652–680 [DOI] [PubMed] [Google Scholar]
- 4. Rehm BH. 2010. Bacterial polymers: biosynthesis, modifications and applications. Nat. Rev. Microbiol. 8:578–592 [DOI] [PubMed] [Google Scholar]
- 5. Zinn M, Witholt B, Egli T. 2001. Occurrence, synthesis and medical application of bacterial polyhydroxyalkanoate. Adv. Drug Deliv. Rev. 53:5–21 [DOI] [PubMed] [Google Scholar]
- 6. Sharma PK, Fu J, Cicek N, Sparling R, Levin DB. 2012. Kinetics of medium-chain-length polyhydroxyalkanoate production by a novel isolate of Pseudomonas putida LS46. Can. J. Microbiol. 58:982–989 [DOI] [PubMed] [Google Scholar]
- 7. Bennett S. 2004. Solexa Ltd. Pharmacogenomics 5:433–438 [DOI] [PubMed] [Google Scholar]
- 8. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen YJ, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Ho CH, Irzyk GP, Jando SC, Alenquer ML, Jarvie TP, Jirage KB, Kim JB, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, Lohman KL, Lu H, Makhijani VB, McDade KE, McKenna MP, Myers EW, Nickerson E, Nobile JR, Plant R, Puc BP, Ronan MT, Roth GT, Sarkis GJ, Simons JF, Simpson JW, Srinivasan M, Tartaro KR, Tomasz A, Vogt KA, Volkmer GA, Wang SH, Wang Y, Weiner MP, Yu P, Begley RF, Rothberg JM. 2005. Genome sequencing in microfabricated high-density picolitre reactors. Nature 437:376–380 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Zerbino DR, Birney E. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18:821–829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Ewing B, Green P. 1998. Base-calling of automated sequencer traces using Phred. II. Error probabilities. Genome Res. 8:186–194 [PubMed] [Google Scholar]
- 11. Ewing B, Hillier L, Wendl MC, Green P. 1998. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 8:175–185 [DOI] [PubMed] [Google Scholar]
- 12. Gordon D, Abajian C, Green P. 1998. Consed: a graphical tool for sequence finishing. Genome Res. 8:195–200 [DOI] [PubMed] [Google Scholar]