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. 2020 Nov 25;9(48):e00848-20. doi: 10.1128/MRA.00848-20

High-Quality Draft Genome Sequence of a Rickettsiales Bacterium Found in Acropora tenuis Coral from Okinawa, Japan

Keigo Ide a,b,#, Yohei Nishikawa b,c,#, Masato Kogawa a,b, Eisuke Iwamoto b, Ashok Zachariah Samuel c, Yoshikatsu Nakano d,e, Haruko Takeyama a,b,c,f,
Editor: Irene L G Newtong
PMCID: PMC7686419  PMID: 33239461

Rickettsiales-like organisms are important for the survival and functioning of corals, prompting an investigation of their complete genomes. Earlier reports of the genomes of these organisms remain incomplete. Here, we report a novel draft genome of Rickettsiales bacterial strain SESOKO1, found in Acropora tenuis coral, using single-cell genome technology.

ABSTRACT

Rickettsiales-like organisms are important for the survival and functioning of corals, prompting an investigation of their complete genomes. Earlier reports of the genomes of these organisms remain incomplete. Here, we report a novel draft genome of Rickettsiales bacterial strain SESOKO1, found in Acropora tenuis coral, using single-cell genome technology.

ANNOUNCEMENT

Rickettsiales-like organisms live symbiotically associated with invertebrates (e.g., corals and shellfish) (1, 2). A majority of Rickettsiales-like organisms coexisting with several corals are unculturable bacteria (3) and are known to cause white band disease (4, 5). A clear understanding of the full genomes of these bacteria is lacking due to a paucity of available full-genome sequences (6). In this context, the single-cell isolation method could be valuable for mapping uncontaminated genomic information. In this study, we report a high-quality draft genome, obtained using droplet-based single-cell genomics, of a Rickettsiales-like organism that was collected from Acropora tenuis coral (7, 8).

An Acropora tenuis coral branch and 100 ml of seawater were collected from Sesoko Island, Okinawa, Japan (26.629911N, 127.857914E). The seawater was filtered through a membrane filter (0.22 μm, MF-Millipore) and exposed to UV light for ∼30 min. The coral branch was kept in 5 ml of this treated seawater, crushed using a disposable scalpel, and then kept on ice for 5 min. The mixture was filtered, and the supernatant was collected (1.5 ml) and centrifuged at 8,000 × g for 5 min. After three repeated washes, the bacterial fraction was resuspended to 50 μl. Single-cell whole-genome amplification was performed using the droplet-based method (SAG-gel) (9). Briefly, we encapsulated bacterial single cells in monodispersed picoliter-sized immiscible droplets (encapsulation rate of 0.1 cell/droplet). After encapsulation of the cells in droplets, the cells were subjected to cell lysis and multiple displacement amplification (MDA) with the REPLI-g single-cell kit (Qiagen, Inc., Valencia, CA, USA) at 30°C for 3 h. Then, the droplets containing amplified DNA were isolated with a fluorescence-activated cell sorting (FACS)-based technique. These isolated DNA-containing droplets were subjected to a second round of MDA.

Whole-genome sequencing was conducted by 2 × 75-bp paired-end sequencing with the Illumina MiSeq platform. Default parameters were used for all software unless otherwise specified. Genome assembly was performed by SPAdes v.3.13 (10). Ten host mitochondrial sequences were removed as contamination using BLASTn v.2.9.0+ with the nucleotide database (11). Assembled genome annotation was performed using Prokka v.1.14.5 (12). Genome quality assessment was conducted using CheckM v.1.1.2 (13). The assembled genome was taxonomically classified with GTDB-Tk v.1.1.1 (14). The 16S rRNA gene sequence was assigned to a RefSeq record with a BLASTn v2.9.0+ search (11).

Statistics for the constructed genome are presented in Table 1. We have now designated the genome as a bacterium in the Rickettsiales order (GTDB-Tk output). This 16S rRNA sequence is closely similar to Anaplasma phagocytophilum strain JM (Refseq; NC_021880.1, 86.13%).

TABLE 1.

Genome sequence statistics for Rickettsiales bacterial strain SESOKO1

Characteristic Value(s)
No. of contigs 199
Largest contig length (bp) 99,919
Total genome length (bp) 1,084,225
Coverage (×) 876
N50 (bp) 19,338
GC content (%) 41.3
No. of coding sequences 1,030
No. of tRNAs 37
No. of rRNAs (5S, 16S, 23S) 3 (1, 1, 1)
Completeness (%) 95.1
Contamination (%) 0.47

Data availability.

The assembled genome was deposited in DDBJ/ENA/GenBank under the accession number SAMD00233765. The raw read data are available under BioProject number PRJDB10112 and DDBJ Sequence Read Archive (DRA) accession number DRR235466.

ACKNOWLEDGMENTS

This work was supported by grants from JST CREST (grant JPMJCR12A4) and JSPS (grant 17H06158). The supercomputing resources were provided by the Human Genome Center (University of Tokyo).

REFERENCES

  • 1.Antonio DB, Andree KB, Moore JD, Friedman CS, Hedrick RP. 2000. Detection of Rickettsiales-like prokaryotes by in situ hybridization in black abalone, Haliotis cracherodii, with withering syndrome. J Invertebr Pathol 75:180–182. doi: 10.1006/jipa.1999.4906. [DOI] [PubMed] [Google Scholar]
  • 2.Casas V, Kline DI, Wegley L, Yu Y, Breitbart M, Rohwer F. 2004. Widespread association of a Rickettsiales-like bacterium with reef-building corals. Environ Microbiol 6:1137–1148. doi: 10.1111/j.1462-2920.2004.00647.x. [DOI] [PubMed] [Google Scholar]
  • 3.Glasl B, Smith CE, Bourne DG, Webster NS. 2019. Disentangling the effect of host-genotype and environment on the microbiome of the coral Acropora tenuis. PeerJ 7:e6377. doi: 10.7717/peerj.6377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Gignoux-Wolfsohn SA, Vollmer SV. 2015. Identification of candidate coral pathogens on white band disease-infected staghorn coral. PLoS One 10:e0134416. doi: 10.1371/journal.pone.0134416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Libro S, Vollmer SV. 2016. Genetic signature of resistance to white band disease in the Caribbean staghorn coral Acropora cervicornis. PLoS One 11:e0146636. doi: 10.1371/journal.pone.0146636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Klinges JG, Rosales SM, McMinds R, Shaver EC, Shantz AA, Peters EC, Eitel M, Wörheide G, Sharp KH, Burkepile DE, Silliman BR, Thurber RLV. 2019. Phylogenetic, genomic, and biogeographic characterization of a novel and ubiquitous marine invertebrate-associated Rickettsiales parasite, Candidatus Aquarickettsia rohweri, gen. nov., sp. nov. ISME J 13:2938–2953. doi: 10.1038/s41396-019-0482-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Nishikawa Y, Hosokawa M, Maruyama T, Yamagishi K, Mori T, Takeyama H. 2015. Monodisperse picoliter droplets for low-bias and contamination-free reactions in single-cell whole genome amplification. PLoS One 10:e0138733. doi: 10.1371/journal.pone.0138733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hosokawa M, Nishikawa Y, Kogawa M, Takeyama H. 2017. Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics. Sci Rep 7:5199. doi: 10.1038/s41598-017-05436-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chijiiwa R, Hosokawa M, Kogawa M, Nishikawa Y, Ide K, Sakanashi C, Takahashi K, Takeyama H. 2020. Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota. Microbiome 8:5. doi: 10.1186/s40168-019-0779-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.McGinnis S, Madden TL. 2004. BLAST: at the core of a powerful and diverse set of sequence analysis tools. Nucleic Acids Res 32:W20–W25. doi: 10.1093/nar/gkh435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 13.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. 2015. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. 2020. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics 36:1925–1927. doi: 10.1093/bioinformatics/btz848. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The assembled genome was deposited in DDBJ/ENA/GenBank under the accession number SAMD00233765. The raw read data are available under BioProject number PRJDB10112 and DDBJ Sequence Read Archive (DRA) accession number DRR235466.


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