DOI QR코드

DOI QR Code

High-quality draft genome and characterization of commercially potent probiotic Lactobacillus strains

  • Sulthana, Ayesha (Center for Research and Development, Unique Biotech Limited) ;
  • Lakshmi, Suvarna G. (Center for Research and Development, Unique Biotech Limited) ;
  • Madempudi, Ratna Sudha (Center for Research and Development, Unique Biotech Limited)
  • Received : 2019.03.29
  • Accepted : 2019.04.28
  • Published : 2019.12.31

Abstract

Lactobacillus acidophilus UBLA-34, L. paracasei UBLPC-35, L. plantarum UBLP-40, and L. reuteri UBLRU-87 were isolated from different varieties of fermented foods. To determine the probiotic safety at the strain level, the whole genome of the respective strains was sequenced, assembled, and characterized. Both the core-genome and pan-genome phylogeny showed that L. reuteri was closest to L. plantarum than to L. acidophilus, which was closest to L. paracasei. The genomic analysis of all the strains confirmed the absence of genes encoding putative virulence factors, antibiotic resistance, and the plasmids.

Keywords

References

  1. Ahrne S, Nobaek S, Jeppsson B, Adlerberth I, Wold AE, Molin G. The normal Lactobacillus flora of healthy human rectal and oral mucosa. J Appl Microbiol 1998;85:88-94. https://doi.org/10.1046/j.1365-2672.1998.00480.x
  2. Ma B, Forney LJ, Ravel J. Vaginal microbiome: rethinking health and disease. Annu Rev Microbiol 2012;66:371-389. https://doi.org/10.1146/annurev-micro-092611-150157
  3. Fettweis JM, Brooks JP, Serrano MG, Sheth NU, Girerd PH, Edwards DJ, et al. Differences in vaginal microbiome in African American women versus women of European ancestry. Microbiology 2014;160:2272-2282. https://doi.org/10.1099/mic.0.081034-0
  4. Salas-Jara MJ, Ilabaca A, Vega M, Garcia A. Biofilm forming Lactobacillus: new challenges for the development of probiotics. Microorganisms 2016;4:E35.
  5. Owen OW. A study of bacterial counts (lactobacilli) in saliva related to orthodontic appliances; a preliminary report. Am J Orthod 1949;35:672-678. https://doi.org/10.1016/0002-9416(49)90123-2
  6. Karthik M, Bhavan PS, Seenivasan V, Asaikkutti A, Muralisankar T, Mahendran R. Dietary supplementation of Lactobacillus fermentum for improving the survival, growth and nutritional profiles of the prawn Macrobrachium rosenbergii, and 16S rDNA based identification of its establishment. Scholars Rep 2018;3:38-62.
  7. Patel RK, Jain M. NGS QC Toolkit: a toolkit for quality control of next generation sequencing data. PLoS One 2012;7:e30619. https://doi.org/10.1371/journal.pone.0030619
  8. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012;19:455-477. https://doi.org/10.1089/cmb.2012.0021
  9. Hunt M, Newbold C, Berriman M, Otto TD. A comprehensive evaluation of assembly scaffolding tools. Genome Biol 2014;15:R42. https://doi.org/10.1186/gb-2014-15-3-r42
  10. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 2008;9:75. https://doi.org/10.1186/1471-2164-9-75
  11. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, et al. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 2016;44:6614-6624. https://doi.org/10.1093/nar/gkw569
  12. 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. https://doi.org/10.1186/1471-2105-11-119
  13. Moriya Y, Itoh M, Okuda S, Yoshizawa AC, Kanehisa M. KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic Acids Res 2007;35:W182-W185. https://doi.org/10.1093/nar/gkm321
  14. Chaudhari NM, Gupta VK, Dutta C. BPGA- an ultra-fast pan-genome analysis pipeline. Sci Rep 2016;6:24373. https://doi.org/10.1038/srep24373
  15. Chen L, Zheng D, Liu B, Yang J, Jin Q. VFDB 2016: hierarchical and refined dataset for big data analysis: 10 years on. Nucleic Acids Res 2016;44:D694-D697. https://doi.org/10.1093/nar/gkv1239
  16. Liu B, Pop M. ARDB: Antibiotic Resistance Genes Database. Nucleic Acids Res 2009;37:D443-D447. https://doi.org/10.1093/nar/gkn656
  17. Carattoli A, Zankari E, Garcia-Fernandez A, Voldby Larsen M, Lund O, Villa L, et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother 2014;58:3895-3903. https://doi.org/10.1128/AAC.02412-14
  18. Blin K, Wolf T, Chevrette MG, Lu X, Schwalen CJ, Kautsar SA, et al. antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification. Nucleic Acids Res 2017;45:W36-W41. https://doi.org/10.1093/nar/gkx319