The emergence and rise of mobile colistin resistance genes are of great global concern due to the ease of transfer of resistance to other bacteria. This report describes the genome of a colistin- and multidrug-resistant Klebsiella pneumoniae isolate bearing mcr-8, obtained from a hospitalized patient in Kenya.
ABSTRACT
The emergence and rise of mobile colistin resistance genes are of great global concern due to the ease of transfer of resistance to other bacteria. This report describes the genome of a colistin- and multidrug-resistant Klebsiella pneumoniae isolate bearing mcr-8, obtained from a hospitalized patient in Kenya.
ANNOUNCEMENT
Colistin is among the last-line drugs for the treatment of carbapenem-resistant bacterial infections. Mobile colistin resistance due to the mcr gene family is of global concern because the genes are easily transferred across species and strains. The mcr-8 gene was first identified in Klebsiella pneumoniae isolates from humans in 2016 and from animals in 2018 in China (1). Since then, it has been reported in Asia (2) among sequence type 15 (ST15) (3) and ST39 (4) K. pneumoniae strains of human origin, Raoultella ornithinolytica (1), and Stenotrophomonas maltophilia (5). In Africa, mcr genes have been detected in South Africa (mcr-1 and mcr-9) (6–8), Algeria (mcr-8) (9), and Tunisia (mcr-1) (10). Colistin is rarely used in Kenya; therefore, susceptibility testing is performed infrequently, and no mcr genes have been reported to date.
In April 2017, a 34-year-old male inpatient at a Nairobi hospital (1.2921S, 36.8219E) with a hip wound infection was enrolled in an antimicrobial resistance surveillance study. A swab sample from the infection site was cultured on blood agar and MacConkey agar. A single isolate was obtained, identified as K. pneumoniae, and tested against 17 antibiotics on a Vitek 2 system (bioMérieux, Marcy-l’Étoile, France) (Table 1). The isolate was nonsusceptible to drugs in five antibiotic classes (Table 1) and exhibited intermediate susceptibility to colistin on the Vitek 2 system (MIC, ≤0.5) and the Etest (bioMérieux) (MIC, >2) and resistance (MIC, >4) on the MicroScan system (Beckman Coulter, Brea, CA, USA) (11).
TABLE 1.
Drug class | Drug(s) tested | Susceptibility test resulta | Resistance gene(s) |
---|---|---|---|
Aminoglycosides | NDb | ND | armA, aac(3)-IV, aac(6')-Ib-cr, aadA1, aadA16, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(4)-Ia, aph(6)-Id |
Monobactams | Aztreonam | S | None identified |
Carbapenems | Meropenem | S | None identified |
β-Lactams (cephalosporins) | Ceftriaxone | S | blaDHA-1, blaSHV-28 |
Cefepime | S | ||
Cefuroxime | R | ||
Cefixime | R | ||
Penicillins | Piperacillin | R | |
Ampicillin-sulbactam | R | ||
Fluoroquinolones | Levofloxacin | R | oqxA, oqxB, qnrB2, qnrB4 |
Moxifloxacin | R | ||
Tetracyclines | Tetracycline | I | None identified |
Tigecycline | I | ||
Minocycline | S | ||
Phenicols | Chloramphenicol | R | cmlA1, floR |
Rifampin | ND | ND | ARR-3 |
Trimethoprim | Trimethoprim | R | dfrA27 |
Fosfomycin | ND | ND | fosA, mdf(A) |
Macrolides | ND | ND | mph(E), msrE |
Sulfonamides | ND | ND | sul1, sul3 |
Polymyxins | Colistin | S (I/R)c | mcr-8 |
Resistance classifications are based on CLSI guidelines (16) and the Vitek 2 Advanced Expert System. S, susceptible; R, resistant; I, intermediate.
ND, not done.
The isolate tested intermediate on the Vitek 2 system and the Etest and resistant on the MicroScan system using the 2020 CLSI breakpoints (17).
DNA was extracted using the UltraClean microbial DNA isolation kit (MO BIO, Carlsbad, CA, USA); paired-end libraries were prepared using the KAPA HyperPlus kit (Roche, Basel, Switzerland) and sequenced using the MiSeq reagent kit v2 (300 cycles, 2 × 150 bp; Illumina, San Diego, CA, USA). Sequence reads were quality checked with FastQC v0.11.9, trimmed with Trimmomatic v0.39, and de novo assembled using SPAdes v3.13 (12) with default parameters. Multilocus sequence typing (MLST) was performed with the Institute Pasteur MLST database, and resistance genes and plasmid replicons were identified using ResFinder v3.2 (13) (Table 1) and PlasmidFinder v2.1 (14) (https://cge.cbs.dtu.dk/services/PlasmidFinder), respectively.
A total of 2,700,506 paired-end reads with a read length distribution of 139 to 151 bp were obtained. The total genome was 5.6 Mb, assembled into 105 contigs with an average GC content of 56.8% and coverage of approximately 130×. The isolate belonged to the hospital-associated high-risk ST15 group (15), and mcr-8 was identified as the gene conferring colistin resistance. Plasmid replicons with a 100% match to IncR and IncHI1B, which were previously associated with mcr-8, suggested its genomic location on a plasmid.
This colistin-resistant isolate might have been missed based on the susceptible Vitek 2 MIC interpretation. A more sensitive colistin test for routine screening and caution when interpreting colistin results from existing automated platforms are recommended. This first description of an mcr gene in Kenya highlights the need to monitor emerging modes of colistin resistance and to limit the spread of high-risk clones.
The study was approved by the Kenya Medical Research Institute Scientific and Ethics Review Unit (protocol 2767), by the Walter Reed Army Institute of Research institutional review board (protocol 2089), and by the U.S. Army Medical Research and Materiel Command, Office of Research Protection, Human Research Protections Office (log A-18129). We have adhered to the policies for the protection of human subjects as prescribed in publication AR 70–25.
Data availability.
This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number JACHAY000000000. The version described in this paper is version JACHAY010000000. Raw sequence reads are available under the SRA accession number SRR11816972.
ACKNOWLEDGMENTS
We acknowledge Erick Odoyo for program management and Daniel Matano, Fredrick Tiria, and Martin Georges for sample processing, culturing, and susceptibility testing. We acknowledge the Multidrug Resistance Surveillance Network for sequencing and bioinformatic analyses and support.
This work is supported by the Armed Forces Health Surveillance Branch and its Global Emerging Infections Surveillance Section (ProMIS identification number 20160270153 FY17). The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Material has been reviewed by the Walter Reed Army Institute of Research. There is no objection to its presentation and/or publication. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or as reflecting true views of the Department of the Army or the Department of Defense. This work has been published with the permission of the Kenya Medical Research Institute director.
REFERENCES
- 1.Wang X, Wang Y, Zhou Y, Wang Z, Wang Y, Zhang S, Shen Z. 2019. Emergence of colistin resistance gene mcr-8 and its variant in Raoultella ornithinolytica. Front Microbiol 10:228. doi: 10.3389/fmicb.2019.00228. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gharaibeh MH, Shatnawi SQ. 2019. An overview of colistin resistance, mobilized colistin resistance genes dissemination, global responses, and the alternatives to colistin: a review. Vet World 12:1735–1746. doi: 10.14202/vetworld.2019.1735-1746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Farzana R, Jones LS, Barratt A, Rahman MA, Sands K, Portal E, Boostrom I, Espina L, Pervin M, Uddin A, Walsh TR. 2020. Emergence of mobile colistin resistance (mcr-8) in a highly successful Klebsiella pneumoniae sequence type 15 clone from clinical infections in Bangladesh. mSphere 5:e00023-20. doi: 10.1128/mSphere.00023-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hadjadj L, Baron SA, Olaitan AO, Morand S, Rolain JM. 2019. Co-occurrence of variants of mcr-3 and mcr-8 genes in a Klebsiella pneumoniae isolate from Laos. Front Microbiol 10:2720. doi: 10.3389/fmicb.2019.02720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Li J, Liu S, Fu J, Yin J, Zhao J, Zhong C, Cao G. 2019. Co-occurrence of colistin and meropenem resistance determinants in a Stenotrophomonas strain isolated from sewage water. Microb Drug Resist 25:317–325. doi: 10.1089/mdr.2018.0418. [DOI] [PubMed] [Google Scholar]
- 6.Poirel L, Kieffer N, Brink A, Coetze J, Jayol A, Nordmann P. 2016. Genetic features of MCR-1-producing colistin-resistant Escherichia coli isolates in South Africa. Antimicrob Agents Chemother 60:4394–4397. doi: 10.1128/AAC.00444-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Perreten V, Strauss C, Collaud A, Gerber D. 2016. Colistin resistance gene mcr-1 in avian-pathogenic Escherichia coli in South Africa. Antimicrob Agents Chemother 60:4414–4415. doi: 10.1128/AAC.00548-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Osei Sekyere J, Maningi NE, Modipane L, Mbelle NM. 2020. Emergence of mcr-9.1 in extended-spectrum-β-lactamase-producing clinical Enterobacteriaceae in Pretoria, South Africa: global evolutionary phylogenomics, resistome, and mobilome. mSystems 5:e00148-20. doi: 10.1128/mSystems.00148-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nabti LZ, Sahli F, Ngaiganam EP, Radji N, Mezaghcha W, Lupande-Mwenebitu D, Baron SA, Rolain JM, Diene SM. 2020. Development of real-time PCR assay allowed describing the first clinical Klebsiella pneumoniae isolate harboring plasmid-mediated colistin resistance mcr-8 gene in Algeria. J Glob Antimicrob Resist 20:266–271. doi: 10.1016/j.jgar.2019.08.018. [DOI] [PubMed] [Google Scholar]
- 10.Grami R, Mansour W, Mehri W, Bouallègue O, Boujaâfar N, Madec JY, Haenni M. 2016. Impact of food animal trade on the spread of mcr-1-mediated colistin resistance, Tunisia, July 2015. Euro Surveill 21:30144. doi: 10.2807/1560-7917.ES.2016.21.8.30144. [DOI] [PubMed] [Google Scholar]
- 11.Satlin MJ, Lewis JS II, Weinstein MP, Patel J, Humphries RM, Kahlmeter G, Giske CG, Turnidge J. 2020. Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) position statements on polymyxin B and colistin clinical breakpoints. Clin Infect Dis 71:ciaa121. doi: 10.1093/cid/ciaa121. [DOI] [PubMed] [Google Scholar]
- 12.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]
- 13.Zankari E, Hasman H, Cosentino S, Vestergaard M, Rasmussen S, Lund O, Aarestrup FM, Larsen MV. 2012. Identification of acquired antimicrobial resistance genes. J Antimicrob Chemother 67:2640–2644. doi: 10.1093/jac/dks261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, Villa L, Møller Aarestrup F, Hasman H. 2014. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother 58:3895–3903. doi: 10.1128/AAC.02412-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Lee CR, Lee JH, Park KS, Kim YB, Jeong BC, Lee SH. 2016. Global dissemination of carbapenemase-producing Klebsiella pneumoniae: epidemiology, genetic context, treatment options, and detection methods. Front Microbiol 7:895. doi: 10.3389/fmicb.2016.00895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Clinical and Laboratory Standards Institute. 2015. Performance standards for antimicrobial susceptibility testing; 25th informational supplement. CLSI M100-S25 Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 17.Clinical and Laboratory Standards Institute. 2020. Performance standards for antimicrobial susceptibility testing, 30th ed CLSI M100 Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number JACHAY000000000. The version described in this paper is version JACHAY010000000. Raw sequence reads are available under the SRA accession number SRR11816972.