Skip to main content
Microbiology Resource Announcements logoLink to Microbiology Resource Announcements
. 2021 Jul 29;10(30):e00616-21. doi: 10.1128/MRA.00616-21

Draft Genome Sequence of Methicillin-Resistant Staphylococcus aureus Harboring Staphylococcal Cassette Chromosome mec Type IX, Isolated from a Fatal Bacteremic Pneumonia Case

Peechanika Chopjitt a, Thidathip Wongsurawat b, Piroon Jenjaroenpun b, Parichart Boueroy a, Watcharaporn Kamjumphol c, Rujirat Hatrongjit d, Anusak Kerdsin a,
Editor: Julie C Dunning Hotoppe
PMCID: PMC8320449  PMID: 34323603

ABSTRACT

Here, we report the whole-genome sequence of a methicillin-resistant Staphylococcus aureus strain harboring staphylococcal cassette chromosome mec (SCCmec) type IX, isolated from a fatal bacteremic pneumonia case. Genomic analysis revealed that the isolate was sequence type 9 and spa type t3446, carrying multiple antimicrobial resistance genes comprising mecA, blaZ, aac(6′)-aph(2″), aadD, ant(6)-Ia, lsa(E), dfrG, tet(M), fexA, and lnu(B).

ANNOUNCEMENT

Methicillin-resistant Staphylococcus aureus (MRSA) strains are classified as hospital-acquired (HA), community-acquired (CA), and livestock-associated (LA) infections (1). MRSA strains carry different types of the staphylococcal cassette chromosome mec (SCCmec I to XIII). While SCCmec I to III are commonly found in HA-MRSA, SCCmec IV to XIII are usually detected in CA-MRSA and LA-MRSA (2).

Interestingly, MRSA sequence type 9 (ST9) harboring SCCmec IX was reported in humans as a newly identified CA-MRSA clone disseminating in Thailand (3). Herein, we determined the genome sequence of the MRSA strain carrying SCCmec IX (isolate M16), isolated in February 2019 from sputum from a 49-year-old man in northern Thailand with a fatal case of bacteremic pneumonia. The isolate was cultured on sheep blood agar at 37°C for 18 h and identified using conventional biochemical tests (4). Its resistance to methicillin was investigated using cefoxitin disk diffusion according to the 2020 Clinical and Laboratory Standard Institute (CLSI) guidelines (5). A pentaplex PCR assay was used to simultaneously identify the genus (Staphylococcus; 16S rRNA), the species (S. aureus; femA), and the methicillin resistance (mecA) and PVL toxin (lukS) genes (6). These assays demonstrated that the isolate was a MRSA strain with no lukS gene.

The bacterium was grown on tryptic soy agar at 37°C for 18 h. Genomic DNA was extracted from the colony using a ZymoBIOMICS DNA kit (Zymo Research, USA) and quantified using the Invitrogen Qubit double-stranded DNA (dsDNA) high-sensitivity (HS) assay kit (Thermo Fisher Scientific, MA, USA). Genomic libraries were generated using the NEBNext Ultra II DNA library prep kit for Illumina (New England BioLabs, USA) following the manufacturer’s instructions. Whole-genome sequencing was performed using the MiSeq platform (Illumina, CA, USA) according to the manufacturer’s instructions to obtain 250-bp paired-end reads (7). We applied Skewer v0.2.2 (8) for quality filtering and adapter trimming of the Illumina reads. Quality checking of the Illumina reads was performed using FastQC v0.11.8 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/), and the genome was de novo assembled using Unicycler v0.4.8 (9). The genome sequences were checked for quality using QUAST v5.0.2 (10). The genomic sequences were submitted to the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) v4.12 for annotation. Default parameters were used for all software unless otherwise specified.

In total, 4,242,022 raw reads were obtained for isolate M16. Sixty-nine contigs were assembled, with an N50 value of 126,866 bp. On average, the assembled draft genome sequence was covered 230.42 times. The draft genome size was determined to be 2,761,167 bp and the GC content to be 32.72%. This isolate was identified as ST9, carried SCCmec IX, and had the spa type t3446 according to MLST 2.0, SCCmecFinder, and spaTyper 1.0, respectively (1113). The arginine catabolic mobile element (ACME) was not detected using MyDbFinder (https://cge.cbs.dtu.dk/services/MyDbFinder/). The isolate genome included acquired antimicrobial resistance genes, namely, mecA, blaZ, aac(6′)-aph(2″), aadD, ant(6)-Ia, lsa(E), dfrG, tet(M), fexA, and lnu(B), according to ResFinder v4.1 (14). We detected tet(M) located on the mecA contig, which suggested that it was carried on the SCCmec IX element. The VirulenceFinder tool revealed aureolysin (aur), enterotoxin types G, I, M, N, O, and U (seg, sei, sem, sen, seo, and seu), and γ-hemolysin (hlgA, hlgB, and hlgC) (15).

This study was reviewed and approved by the Ethics Review Board (ERB) of the Ministry of Public Health, Thailand. The ERB waived the requirement for informed consent because the study satisfied the conditions of the policy statement on ethical conduct for research involving humans. This study was conducted according to the principles of the Declaration of Helsinki.

Data availability.

The results of this whole-genome shotgun project were deposited in DDBJ/ENA/GenBank under the BioProject accession no. PRJNA735605, BioSample accession no. SAMN19589956, and accession no. JAHKSK000000000.1. The Sequence Read Archive (SRA) number is SRR14802804.

ACKNOWLEDGMENTS

The Kasetsart University Research and Development Institute (KURDI), Bangkok, Thailand, provided a grant and English-editing assistance.

Contributor Information

Anusak Kerdsin, Email: anusak.ke@ku.th.

Julie C. Dunning Hotopp, University of Maryland School of Medicine

REFERENCES

  • 1.Lakhundi S, Zhang K. 2018. Methicillin-resistant Staphylococcus aureus: molecular characterization, evolution, and epidemiology. Clin Microbiol Rev 31:e00020-18. doi: 10.1128/CMR.00020-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Rongsanam P, Yano T, Yokart W, Yamsakul P, Sutammeng S, Udpaun R, Pichpol D, Tamdee D, Anukool U. 2020. Acquisition risk factors of the SCCmec IX-methicillin-resistant Staphylococcus aureus in swine production personnel in Chiang Mai and Lamphun provinces, Thailand. Antibiotics (Basel) 9:651. doi: 10.3390/antibiotics9100651. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Lulitanond A, Ito T, Li S, Han X, Ma XX, Engchanil C, Chanawong A, Wilailuckana C, Jiwakanon N, Hiramatsu K. 2013. ST9 MRSA strains carrying a variant of type IX SCCmec identified in the Thai community. BMC Infect Dis 13:214. doi: 10.1186/1471-2334-13-214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Becker K, Skov RL, von Eiff C. 2011. Staphylococcus, Micrococcus and other catalase-positive cocci, p 639–657. In Jorgensen JH, Carroll KC, Funke G, Pfaller MA, Landry ML, Richter SS, Warnock DW (ed), Manual of clinical microbiology, 10th ed, vol 2. ASM Press, Washington, DC. [Google Scholar]
  • 5.Clinical and Laboratory Standards Institute. 2020. Performance standards for antimicrobial susceptibility testing: CLSI document M100, 30th ed. Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
  • 6.Al-Talib H, Yean CY, Al-Khateeb A, Hassan H, Singh K-KB, Al-Jashamy K, Ravichandran M. 2009. A pentaplex PCR assay for the rapid detection of methicillin-resistant Staphylococcus aureus and Panton-Valentine leucocidin. BMC Microbiol 9:113. doi: 10.1186/1471-2180-9-113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chen S, Zhou Y, Chen Y, Gu J. 2018. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34:i884–i890. doi: 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jiang H, Lei R, Ding S-W, Zhu S. 2014. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinformatics 15:182. doi: 10.1186/1471-2105-15-182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wick RR, Judd LM, Gorrie CL, Holt KE. 2017. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi: 10.1093/bioinformatics/btt086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Larsen MV, Cosentino S, Rasmussen S, Friis C, Hasman H, Marvig RL, Jelsbak L, Sicheritz-Pontén T, Ussery DW, Aarestrup FM, Lund O. 2012. Multilocus sequence typing of total-genome-sequenced bacteria. J Clin Microbiol 50:1355–1361. doi: 10.1128/JCM.06094-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kaya H, Hasman H, Larsen J, Stegger M, Johannesen TB, Allesøe RL, Lemvigh CK, Aarestrup FM, Lund O, Larsen AR. 2018. SCCmecFinder, a Web-based tool for typing of staphylococcal cassette chromosome mec in Staphylococcus aureus using whole-genome sequence data. mSphere 3:e00612-17. doi: 10.1128/mSphere.00612-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Bartels MD, Petersen A, Worning P, Nielsen JB, Larner-Svensson H, Johansen HK, Andersen LP, Jarløv JO, Boye K, Larsen AR, Westh H. 2014. Comparing whole-genome sequencing with Sanger sequencing for spa typing of methicillin-resistant Staphylococcus aureus. J Clin Microbiol 52:4305–4308. doi: 10.1128/JCM.01979-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, Philippon A, Allesoe RL, Rebelo AR, Florensa AF, Fagelhauer L, Chakraborty T, Neumann B, Werner G, Bender JK, Stingl K, Nguyen M, Coppens J, Xavier BB, Malhotra-Kumar S, Westh H, Pinholt M, Anjum MF, Duggett NA, Kempf I, Nykäsenoja S, Olkkola S, Wieczorek K, Amaro A, Clemente L, Mossong J, Losch S, Ragimbeau C, Lund O, Aarestrup FM. 2020. ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother 75:3491–3500. doi: 10.1093/jac/dkaa345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Joensen KG, Scheutz F, Lund O, Hasman H, Kaas RS, Nielsen EM, Aarestrup FM. 2014. Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J Clin Microbiol 52:1501–1510. doi: 10.1128/JCM.03617-13. [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 results of this whole-genome shotgun project were deposited in DDBJ/ENA/GenBank under the BioProject accession no. PRJNA735605, BioSample accession no. SAMN19589956, and accession no. JAHKSK000000000.1. The Sequence Read Archive (SRA) number is SRR14802804.


Articles from Microbiology Resource Announcements are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES