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Genome analysis of Bacteroides sp. CACC 737 isolated from feline for its potential application

  • Kim, Jung-Ae (Department of Research and Development, Center for Industrialization of Agricultural and Livestock Microorganisms) ;
  • Jung, Min Young (Department of Research and Development, Center for Industrialization of Agricultural and Livestock Microorganisms) ;
  • Kim, Dae-Hyuk (Department of Research and Development, Center for Industrialization of Agricultural and Livestock Microorganisms) ;
  • Kim, Yangseon (Department of Research and Development, Center for Industrialization of Agricultural and Livestock Microorganisms)
  • Received : 2020.08.04
  • Accepted : 2020.10.15
  • Published : 2020.11.30

Abstract

Bacteroides sp. CACC 737 was isolated from a feline, and its potential probiotic properties were characterized using functional genome analysis. Whole-genome sequencing was performed using the PacBio RSII and Illumina HiSeq platforms. The complete genome of strain CACC 737 contained 4.6 Mb, with a guanine (G) + cytosine (C) content of 45.8%, six cryptic plasmids, and extracellular polysaccharide gene as unique features. The strain was beneficial to animal health when consumed as feed, for example, for ameliorating immunological dysfunctions and metabolic disorders. The genome information adds to the comprehensive understanding of Bacteroides sp. and suggests potential animal-related industrial applications for this strain.

Keywords

ANNOUNCEMENT

Bacteroides species are gram-negative, anaerobic, non-spore-forming, bile-resistant bacteria that reside in the gut. They constitute approximately 25% to 30% of the intestinal gut microbiota of humans and other animals [1]. These bacteria have been proposed as next-generation probiotics by virtue of the action on the intestinal immune system [2]. In companion animals, Bacteroides associated with immune proteins, such as Tumor necrosis factor (TNF)-α and decreased the relative abundance with chronic enteropathy [3,4].

We isolated Bacteroides sp. CACC 737 (KACC 22065) from the feces of a male 9-year-old Persian chinchilla in Korea. The sample was incubated in anaerobic atmosphere (5% carbon dioxide, 5% hydrogen, and 90% nitrogen) at 37℃ for 48 h on De, Rogosa and Sharpe (MRS) media. The isolate was considered to be a novel species of Bacteroides based on its 16S rRNA sequence that displayed the highest similarity to the type strain B. uniformis ATCC8492T (97.5%), which was below the suggested novel species recognition threshold of 98.6% [5]. Genomic DNA was extracted from CACC 737 cell pellets using a DNeasy UltraClean microbial kit (QIAGEN, Hilden, Germany), consistent with the manufacturer’s instructions. The isolated DNA was sequenced using single molecular real-time Portal (v2.3) with the PacBio RS II system (Pacific Biosciences, Menlo Park, CA, USA; Macrogen, Seoul, Korea).

The annotation of the genome sequences was carried out using the combined results of the automatic National Center for Biotechnology Information Prokaryotic Genomes Annotation Pipeline and the Rapid Annotations Subsystems Technology prokaryotic genome annotation server (http:// rast.nmpdr.org) [6]. The clustered regularly interspaced short palindromic repeats (CRISPR) were assessed using CRISPR web server (http://crispr.i2bc.paris-saclay.fr) [7,8].

Bacteroides species harbor cryptic plasmids at a high frequency (50%) [9]. The complete genome of Bacteroides sp. CACC 737 genome revealed six cryptic plasmids ranging from 20 to 40 kb with an average GC content of 40.9% as well as a single circular chromosome of 4,470,359 bp with a GC content of 46.0% (Table 1 and Fig. 1A). The genome also contained 13 rRNAs and 69 transfer RNAs. A total of 3,938 protein-coding sequences (CDSs) were identified. Plasmids include hypothetical proteins and include genes involved in carbohydrate metabolism. Furthermore, 3,938 CDSs were specifically to clusters of 20 Clusters of Orthologous Groups of proteins (COGs)-based functional categories (Fig. 1B). Many genes were classified into functional categories for carbohydrate transport and metabolism (n = 270), cell wall/membrane/envelope biogenesis (n = 263), recombination and repair (n = 231), inorganic ion transport and metabolism (n = 227), amino acid transport and metabolism (n = 176), translation, ribosomal structure, and biogenesis (n = 151).

Table 1. Genome overview of Bacteroides sp. CACC 737

GC, guanine-cytosine; rRNA, ribosomal RNA; tRNA, transfer RNA

Fig. 1. Genome features of Bacteroides sp. CACC 737. (A) Circular genome maps of Bacteroides sp. CACC 737 chromosome and plasmids. Circles from the outside to the center denote rRNA and tRNA gene, reverse strand CDS, forward strand CDS, GC skew, and GC content. (B) Genome number of COG functional categories; rRNA, ribosomal RNA; tRNA, transfer RNA; COG, clusters of orthologous group; CDS, coding sequence; GC, guanine-cytosine.

Two confirmed CRISPR regions (1 and 2) and one questionable CRISPR 9 region were detected. The pattern was identified as the CRISPR-CAS II type. The characterization of type II elements may reveal molecular genome editing tools for the development of next-generation probiotics [10]. The complete genome sequence of Bacteroides sp. CACC 737 will provide fundamental knowledge of the probiotic effects in host healthcare.

The complete genome of strain CACC 737 has been deposited to the National Center for Biotechnology Information GenBank database under accession numbers CP059408 (chromosome) and CP059406, CP059407, CP059409 - CP059412 (plasmids).

References

  1. Wexler HM. Bacteroides: the good, the bad, and the nitty-gritty. Clin Microbiol Rev. 2007;20:593-621. http://doi.org/10.1128/CMR.00008-07
  2. Dahiya DK, Renuka, Dangi AK, Shandilya UK, Puniya AK, Shukla P. New-generation probiotics: perspectives and applications. In: Faintuch J, Fainguch S, editors. Microbiome and metabolome in diagnosis, therapy, and other strategic applications. Cambridge, MA: Academic Press; 2019. p. 417-24.
  3. Xu H, Huang W, Hou Q, Kwok LY, Laga W, Wang Y, et al. Oral administration of compound probiotics improved canine feed intake, weight gain, immunity and intestinal microbiota. Front Immunol. 2019;10:666. https://doi.org/10.3389/fimmu.2019.00666
  4. Marsilio S, Pilla R, Sarawichitr B, Chow B, Hill SL, Ackermann MR, et al. Characterization of the fecal microbiome in cats with inflammatory bowel disease or alimentary small cell lymphoma. Sci Rep. 2019;9:19208. https://doi.org/10.1038/s41598-019-55691-w
  5. Kim M, Oh HS, Park SC, Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol. 2014;64:346-51. https://doi.org/10.1099/ijs.0.059774-0
  6. 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
  7. Grissa I, Vergnaud G, Pourcel C. CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats. Nucleic Acids Res. 2007;35 Suppl 2:W52-7. https://doi.org/10.1093/nar/gkm360
  8. Arndt D, Grant JR, Marcu A, Sajed T, Pon A, Liang Y, et al. PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Res. 2016;44:W16-21. https://doi.org/10.1093/nar/gkw387
  9. Nguyen M, Vedantam G. Mobile genetic elements in the genus Bacteroides, and their mechanism(s) of dissemination. Mobile Genet Elem. 2011;1:187-96. https://doi.org/10.4161/mge.1.3.18448
  10. Hidalgo-Cantabrana C, Crawley AB, Sanchez B, Barrangou R. Characterization and exploitation of CRISPR loci in Bifidobacterium longum. Front Microbiol. 2017;8:1851. https://doi.org/10.3389/fmicb.2017.01851