Abstract
There is growing interest in the beneficial effects of Lactobacillus plantarum on human health. The genome of L. plantarum WCFS1, first sequenced in 2001, was resequenced using Solexa technology. We identified 116 nucleotide corrections and improved function prediction for nearly 1,200 proteins, with a focus on metabolic functions and cell surface-associated proteins.
GENOME ANNOUNCEMENT
Lactobacillus plantarum is a versatile facultative heterofermentative lactic acid bacterium (LAB) found in vegetables, meat, fish, and dairy products (2–4, 14, 19, 20, 32) and the gastrointestinal tract (1). L. plantarum WCFS1 has become one of the model strains in LAB research since the initial genome publication (25). Bioinformatics tools have been used to predict the function of its genes (7, 39, 42), reconstruct metabolic pathways (18, 43–45) and gene regulatory networks (17, 49, 51), and compare its genome with genomes of other LAB (6, 26, 52). The genomic, phenotypic, and metabolic diversity of L. plantarum has been previously described (31, 40, 41). L. plantarum has been employed as a model for LAB interactions with mammalian gut tissues in studies that provided insights into the microbial adaptation to that habitat (8–10, 27–29) and identified candidate probiotic genes (21, 22, 30, 34, 46, 47).
Resequencing performed with a Solexa GAIIx genome analyzer (BaseClear, The Netherlands) resulted in 10,783,316 reads of 50 bp (5-kb mated pairs), totaling 550 Mb (∼160× coverage). RoVar software (http://trac.nbic.nl/rovar) was used to align Solexa reads to the L. plantarum WCFS1 genome sequence by the use of BLAT (24). Read alignment was allowed provided that structural variations (SVs) in the form of single nucleotide polymorphisms (SNPs) or small indels were at least 4 bp from the end of a read. SVs were allowed with a maximum of one read mismatch and a sequence depth of at least 20 reads that unanimously identified a genotype.
Improved manual annotation of encoded functions was performed using Artemis and ACT (12, 13, 36), RAST (5), ISGA (23), Pfam (15, 16), InterProScan (35), BRENDA (38), CAZy (11), TCDB (37), and ERGO (33) software and experimental evidence. L. plantarum supermotifs (LPSMs) (48), T-boxes (48, 50), and extracellular protein functions were as previously predicted (7, 52).
The circular chromosome (3,308,273 bp; 44.5% GC content) contains 3,042 protein-encoding genes (of which 18 are pseudogenes), 70 tRNA-encoding genes, 5 rRNA operons, 8 miscellaneous RNAs, 32 T-boxes, and 27 LPSMs. Resequencing showed 116 differences (97 single nucleotide corrections and 19 single nucleotide indels) from the published sequence (25). Thirty-eight corrections are in intergenic regions, and 78 corrections are within protein-coding sequences, leading to 55 amino acid changes and 10 corrections of the N or C terminus of encoded proteins.
Compared to the originally published L. plantarum WCFS1 genome (25), 27 coding sequences (CDS) or fragments have now been deleted and 34 CDS or fragments added. Annotations were improved for nearly 1,200 encoded proteins; the improvements included the addition of family information for most transcriptional regulators (n = 190), transporters (n = 79), and oxidoreductases (n = 44). Comparative analysis of putative secreted and cell surface-associated proteins (7, 26, 52) has led to improved annotation of 74 putative extracellular proteins (see the LAB-Secretome database at www.cmbi.ru.nl/lab_secretome/) (52). Originally, 740 CDS were annotated as corresponding to a hypothetical (membrane) protein (25), but 24 of those CDS have now been deleted and 366 have been given a general family assignment (n = 229) or a very specific function assignment (n = 137). We hope that the comprehensive curated annotation of this model LAB will be of significant use to the many L. plantarum researchers worldwide.
Nucleotide sequence accession number.
The sequence and the annotation were deposited in EMBL/GenBank at AL935263.2 (GI:342240345), replacing versions AL935263.1 and AL935252 to AL935262.
ACKNOWLEDGEMENTS
We thank Paul de Vos for continued support of this project and all authors of L. plantarum literature who provided experimental evidence to support our reannotation.
This project was funded by the Top Institute Food and Nutrition, Wageningen, The Netherlands.
REFERENCES
- 1. Ahrné S, et al. 1998. The normal Lactobacillus flora of healthy human rectal and oral mucosa. J. Appl. Microbiol. 85:88–94 [DOI] [PubMed] [Google Scholar]
- 2. Aquilanti L, et al. 2007. The microbial ecology of a typical Italian salami during its natural fermentation. Int. J. Food Microbiol. 120:136–145 [DOI] [PubMed] [Google Scholar]
- 3. Aryanta RW, Fleet GH, Buckle KA. 1991. The occurrence and growth of microorganisms during the fermentation of fish sausage. Int. J. Food Microbiol. 13:143–155 [DOI] [PubMed] [Google Scholar]
- 4. Aymerich T, Martin B, Garriga M, Hugas M. 2003. Microbial quality and direct PCR identification of lactic acid bacteria and nonpathogenic staphylococci from artisanal low-acid sausages. Appl. Environ. Microbiol. 69:4583–4594 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Aziz RK, et al. 2008. The RAST server: rapid annotations using subsystems technology. BMC Genomics 9:75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Boekhorst J, et al. 2004. The complete genomes of Lactobacillus plantarum and Lactobacillus johnsonii reveal extensive differences in chromosome organization and gene content. Microbiology 150:3601–3611 [DOI] [PubMed] [Google Scholar]
- 7. Boekhorst J, Wels M, Kleerebezem M, Siezen RJ. 2006. The predicted secretome of Lactobacillus plantarum WCFS1 sheds light on interactions with its environment. Microbiology 152:3175–3183 [DOI] [PubMed] [Google Scholar]
- 8. Bron PA, Grangette C, Mercenier A, de Vos WM, Kleerebezem M. 2004. Identification of Lactobacillus plantarum genes that are induced in the gastrointestinal tract of mice. J. Bacteriol. 186:5721–5729 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Bron PA, et al. 2004. Genetic characterization of the bile salt response in Lactobacillus plantarum and analysis of responsive promoters in vitro and in situ in the gastrointestinal tract. J. Bacteriol. 186:7829–7835 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Bron PA, Meijer M, Bongers RS, de Vos WM, Kleerebezem M. 2007. Dynamics of competitive population abundance of Lactobacillus plantarum ivi gene mutants in faecal samples after passage through the gastrointestinal tract of mice. J. Appl. Microbiol. 103:1424–1434 [DOI] [PubMed] [Google Scholar]
- 11. Cantarel BL, et al. 2009. The Carbohydrate-Active EnZymes database (CAZy): an expert resource for glycogenomics. Nucleic Acids Res. 37:D233–D238 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Carver T, et al. 2008. Artemis and ACT: viewing, annotating and comparing sequences stored in a relational database. Bioinformatics 24:2672–2676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Carver TJ, et al. 2005. ACT: the Artemis comparison tool. Bioinformatics 21:3422–3423 [DOI] [PubMed] [Google Scholar]
- 14. Ercolini D, Hill PJ, Dodd CE. 2003. Bacterial community structure and location in Stilton cheese. Appl. Environ. Microbiol. 69:3540–3548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Finn RD, et al. 2006. Pfam: clans, web tools and services. Nucleic Acids Res. 34:D247–D251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Finn RD, et al. 2010. The Pfam protein families database. Nucleic Acids Res. 38:D211–D222 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Francke C, Kerkhoven R, Wels M, Siezen RJ. 2008. A generic approach to identify transcription factor-specific operator motifs; inferences for LacI-family mediated regulation in Lactobacillus plantarum WCFS1. BMC Genomics 9:145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Francke C, Siezen RJ, Teusink B. 2005. Reconstructing the metabolic network of a bacterium from its genome. Trends Microbiol. 13:550–558 [DOI] [PubMed] [Google Scholar]
- 19. Gänzle MG, Vermeulen N, Vogel RF. 2007. Carbohydrate, peptide and lipid metabolism of lactic acid bacteria in sourdough. Food Microbiol. 24:128–138 [DOI] [PubMed] [Google Scholar]
- 20. Gardner NJ, Savard T, Obermeier P, Caldwell G, Champagne CP. 2001. Selection and characterization of mixed starter cultures for lactic acid fermentation of carrot, cabbage, beet and onion vegetable mixtures. Int. J. Food Microbiol. 64:261–275 [DOI] [PubMed] [Google Scholar]
- 21. Gross G, Snel J, Boekhorst J, Smits MA, Kleerebezem M. 2010. Biodiversity of mannose-specific adhesion in Lactobacillus plantarum revisited: strain-specific domain composition of the mannose-adhesin. Benef. Microbes 1:61–66 [DOI] [PubMed] [Google Scholar]
- 22. Gross G, et al. 2008. Mannose-specific interaction of Lactobacillus plantarum with porcine jejunal epithelium. FEMS Immunol. Med. Microbiol. 54:215–223 [DOI] [PubMed] [Google Scholar]
- 23. Hemmerich C, Buechlein A, Podicheti R, Revanna KV, Dong Q. 2010. An Ergatis-based prokaryotic genome annotation web server. Bioinformatics 26:1122–1124 [DOI] [PubMed] [Google Scholar]
- 24. Kent WJ. 2002. BLAT—the BLAST-like alignment tool. Genome Res. 12:656–664 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Kleerebezem M, et al. 2003. Complete genome sequence of Lactobacillus plantarum WCFS1. Proc. Natl. Acad. Sci. U. S. A. 100:1990–1995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Kleerebezem M, et al. 2010. The extracellular biology of the lactobacilli. FEMS Microbiol. Rev. 34:199–230 [DOI] [PubMed] [Google Scholar]
- 27. Marco ML, Bongers RS, de Vos WM, Kleerebezem M. 2007. Spatial and temporal expression of Lactobacillus plantarum genes in the gastrointestinal tracts of mice. Appl. Environ. Microbiol. 73:124–132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Marco ML, et al. 2010. Convergence in probiotic Lactobacillus gut-adaptive responses in humans and mice. ISME J. 4:1481–1484 [DOI] [PubMed] [Google Scholar]
- 29. Marco ML, et al. 2009. Lifestyle of Lactobacillus plantarum in the mouse caecum. Environ. Microbiol. 11:2747–2757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Meijerink M, et al. 2010. Identification of genetic loci in Lactobacillus plantarum that modulate the immune response of dendritic cells using comparative genome hybridization. PLoS One 5:e10632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Molenaar D, et al. 2005. Exploring Lactobacillus plantarum genome diversity by using microarrays. J. Bacteriol. 187:6119–6127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Mundt JO, Hammer JL. 1968. Lactobacilli on plants. Appl. Microbiol. 16:1326–1330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Overbeek R, et al. 2003. The ERGO genome analysis and discovery system. Nucleic Acids Res. 31:164–171 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Pretzer G, et al. 2005. Biodiversity-based identification and functional characterization of the mannose-specific adhesin of Lactobacillus plantarum. J. Bacteriol. 187:6128–6136 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Quevillon E, et al. 2005. InterProScan: protein domains identifier. Nucleic Acids Res. 33:W116–W120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Rutherford K, et al. 2000. Artemis: sequence visualization and annotation. Bioinformatics 16:944–945 [DOI] [PubMed] [Google Scholar]
- 37. Saier MH, Jr, Yen MR, Noto K, Tamang DG, Elkan C. 2009. The transporter classification database: recent advances. Nucleic Acids Res. 37:D274–D278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Scheer M, et al. 2011. BRENDA, the enzyme information system in 2011. Nucleic Acids Res. 39:D670–D676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Siezen R, et al. 2006. Lactobacillus plantarum gene clusters encoding putative cell-surface protein complexes for carbohydrate utilization are conserved in specific gram-positive bacteria. BMC Genomics 7:126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Siezen RJ, van Hylckama Vlieg JET. 2011. Genomic diversity and versatility of Lactobacillus plantarum, a natural metabolic engineer. Microb. Cell Fact. 10:S3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Siezen RJ, et al. 2010. Phenotypic and genomic diversity of Lactobacillus plantarum strains isolated from various environmental niches. Environ. Microbiol. 12:758–773 [DOI] [PubMed] [Google Scholar]
- 42. Siezen RJ, van Enckevort FH, Kleerebezem M, Teusink B. 2004. Genome data mining of lactic acid bacteria: the impact of bioinformatics. Curr. Opin. Biotechnol. 15:105–115 [DOI] [PubMed] [Google Scholar]
- 43. Teusink B, et al. 2005. In silico reconstruction of the metabolic pathways of Lactobacillus plantarum: comparing predictions of nutrient requirements with those from growth experiments. Appl. Environ. Microbiol. 71:7253–7262 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Teusink B, Wiersma A, Jacobs L, Notebaart RA, Smid EJ. 2009. Understanding the adaptive growth strategy of Lactobacillus plantarum by in silico optimisation. PLoS Comput. Biol. 5:e1000410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Teusink B, et al. 2006. Analysis of growth of Lactobacillus plantarum WCFS1 on a complex medium using a genome-scale metabolic model. J. Biol. Chem. 281:40041–40048 [DOI] [PubMed] [Google Scholar]
- 46. Troost FJ, et al. 2008. Identification of the transcriptional response of human intestinal mucosa to Lactobacillus plantarum WCFS1 in vivo. BMC Genomics 9:374. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. van Baarlen P, et al. 2009. Differential NF-kappaB pathways induction by Lactobacillus plantarum in the duodenum of healthy humans correlating with immune tolerance. Proc. Natl. Acad. Sci. U. S. A. 106:2371–2376 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Wels M, et al. 2009. Large intergenic cruciform-like supermotifs in the Lactobacillus plantarum genome. J. Bacteriol. 191:3420–3423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Wels M, Francke C, Kerkhoven R, Kleerebezem M, Siezen RJ. 2006. Predicting cis-acting elements of Lactobacillus plantarum by comparative genomics with different taxonomic subgroups. Nucleic Acids Res. 34:1947–1958 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Wels M, Groot Kormelink T, Kleerebezem M, Siezen RJ, Francke C. 2008. An in silico analysis of T-box regulated genes and T-box evolution in prokaryotes, with emphasis on prediction of substrate specificity of transporters. BMC Genomics 9:330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Wels M, Overmars L, Francke C, Kleerebezem M, Siezen RJ. 2011. Reconstruction of the regulatory network of Lactobacillus plantarum WCFS1 on basis of correlated gene expression and conserved regulatory motifs. Microb. Biotechnol. 4:333–344 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Zhou M, Theunissen D, Wels M, Siezen RJ. 2010. LAB-Secretome: a genome-scale comparative analysis of the predicted extracellular and surface-associated proteins of lactic acid bacteria. BMC Genomics 11:651. [DOI] [PMC free article] [PubMed] [Google Scholar]