Marketa Zelendova1,2
Costas C. Papagiannitsis3
Petra Sismova1,2
Matej Medvecky2,4Katarina Pomorska5Jana Palkovicova1,2
Kristina Nesporova2Vladislav Jakubu5,6
Ivana Jamborova2Helena Zemlickova5,6
Monika Dolejska1,2,7,8* Working Group for Monitoring of Antibiotic Resistance- 1Department of Biology and Wildlife Diseases, Faculty of Veterinary Hygiene and Ecology, University of Veterinary Sciences Brno, Brno, Czechia
- 2CEITEC VETUNI, University of Veterinary Sciences Brno, Brno, Czechia
- 3Department of Microbiology, University Hospital of Larissa, Larissa, Greece
- 4Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, Czechia
- 5NRL for ATB, The National Institute of Public Health, Centre for Epidemiology and Microbiology, Prague, Czechia
- 6Department of Microbiology, 3rd Faculty of Medicine, Kralovske Vinohrady University Hospital and National Institute of Public Health, Charles University, Prague, Czechia
- 7Department of Clinical Microbiology and Immunology, Institute of Laboratory Medicine, The University Hospital Brno, Brno, Czechia
- 8Department of Microbiology, Faculty of Medicine and University Hospital in Plzen, Charles University, Pilsen, Czechia
The occurrence of colistin resistance has increased rapidly among Enterobacterales around the world. We performed a national survey of plasmid-mediated colistin resistance in human clinical isolates through a retrospective analysis of samples from 2009 to 2017 and a prospective sampling in 2018–2020. The aim of this study was to identify and characterize isolates with mcr genes from various regions of the Czech Republic using whole genome sequencing (WGS). Of all 1932 colistin-resistant isolates analyzed, 73 (3.8%) were positive for mcr genes. Most isolates carried mcr-1 (48/73) and were identified as Escherichia coli (n = 44) and Klebsiella pneumoniae (n = 4) of various sequence types (ST). Twenty-five isolates, including Enterobacter spp. (n = 24) and Citrobacter freundii (n = 1) carrying the mcr-9 gene were detected; three of them (Enterobacter kobei ST54) co-harbored the mcr-4 and mcr-9 genes. Multi-drug resistance phenotype was a common feature of mcr isolates and 14% (10/73) isolates also co-harbored clinically important beta-lactamases, including two isolates with carbapenemases KPC-2 and OXA-48. Phylogenetic analysis of E. coli ST744, the dominant genotype in this study, with the global collection showed Czech isolates belonged to two major clades, one containing isolates from Europe, while the second composed of isolates from diverse geographical areas. The mcr-1 gene was carried by IncX4 (34/73, 47%), IncHI2/ST4 (6/73, 8%) and IncI2 (8/73, 11%) plasmid groups. Small plasmids belonging to the ColE10 group were associated with mcr-4 in three isolates, while mcr-9 was carried by IncHI2/ST1 plasmids (4/73, 5%) or the chromosome (18/73, 25%). We showed an overall low level of occurrence of mcr genes in colistin-resistant bacteria from human clinical samples in the Czech Republic.
Introduction
The excessive consumption of antimicrobial substances associated with faster spread of antibiotic resistance represents a global concern. The dissemination of multi-drug resistant (MDR) bacteria resulted in limited treatment options of infectious diseases in healthcare systems. The interest in the administration of older antibiotics such as polymyxins has therefore been renewed (Bitar et al., 2020). Colistin has been widely used in the past, but due to its nephrotoxicity and neurotoxicity, it has become a restricted antibiotic (Viñes et al., 2021). Currently, colistin is administered for the treatment of life-threatening infections caused by MDR Gram-negative pathogens as the last-resort antibiotic (Yilmaz et al., 2016; Hamel et al., 2021; Viñes et al., 2021). In contrast, colistin has been widely used for prophylactic and therapeutic purposes in veterinary medicine for decades (Quiroga et al., 2019; Viñes et al., 2021). However, colistin overuse in livestock has led to the spread of colistin-resistant pathogens worldwide and the development of different strategies used by bacteria to increase resistance against colistin (El-Sayed Ahmed et al., 2020).
Resistance to colistin can be either associated with chromosomal mutations or with mcr genes carried by plasmids that are facilitating horizontal transfer of colistin resistance between bacteria (Zhu et al., 2019). Acquired colistin-resistance mechanisms have been recognized in some members of the Enterobacteriaceae family, such as E. coli, Salmonella spp., Klebsiella spp., and Enterobacter spp. These include genes and operons responsible for encoding enzymes that have a direct role in LPS modification, such as the pmrC and pmrE genes and the pmrHFIJKLM operon (Aghapour et al., 2019). Apart from the chromosomally-mediated mechanisms, 10 variants, mcr-1 to mcr-10, carried by various plasmid families have been so far identified in Enterobacterales, especially in E. coli and Enterobacter spp. (Bitar et al., 2020; Javed et al., 2020; Li et al., 2020; Wang C. et al., 2020). The most common variant, mcr-1, is usually located on plasmids of various incompatibility (Inc) groups, but predominantly on IncX4, IncI2 and IncHI2 (Carattoli et al., 2014; Doumith et al., 2016; Zelendova et al., 2021). These plasmid types carrying mcr-1 were found in Enterobacterales isolates from humans as well as farm animals around the globe (Dalmolin et al., 2018; Quiroga et al., 2019), highlighting their wide distribution in various niches. Besides mcr-1, other genes for plasmid-mediated colistin resistance, such as mcr-4 and mcr-9, have been reported (Bitar et al., 2020; Li et al., 2020). The mcr-4 gene is usually located on small ColE10-type plasmids (Carattoli et al., 2017; Marchetti et al., 2021) while mcr-9 is mostly carried by large IncHI2 plasmids or is incorporated into the chromosome (Li et al., 2020; Tyson et al., 2020).
The emergence of colistin resistance in MDR bacteria is a significant clinical concern. Isolates encoding extended-spectrum beta-lactamase (ESBL) or carbapenemase on a single plasmid along with mcr have been detected (Carattoli et al., 2014; Katip et al., 2021). As the co-occurrence of more resistance genes within the bacteria represents a threat to current medicine, The European Centre for Disease Prevention and Control (ECDC) published the expert protocol that recommends performing the surveillance of co-resistance to both colistin and carbapenems in Enterobacterales (ECDC, European Centre for Disease Prevention and Control, 2019).
From the Czech Republic, only sporadic reports describing the identification of mcr-carrying isolates in clinical samples have been published so far (Bitar et al., 2019; Bitar et al., 2020; Krutova et al., 2021). However, overview data on the prevalence of mcr genes in Czech patients are not available. To fill in this gap, we aim to identify mcr genes in colistin-resistant human clinical isolates of Gram-negative bacteria from the Czech Republic between 2009 and 2020, and to determine characteristics of the mcr-positive strains using whole genome sequencing (WGS), plasmid typing and transferability experiments.
Materials and methods
Sampling and detection of mcr genes
A total of 1932 colistin-resistant isolates of Gram-negative bacteria with a minimum inhibitory concentration (MIC) to colistin >2 mg/L collected from Czech patients between 2009 and 2020 were examined. The collection consisted of 682 retrospective isolates obtained from 2009 through 2017 during various surveillance programmes at the National Institute of Public Health that were not targeting colistin resistance. The retrospective collection included mainly Klebsiella pneumoniae (n = 429), Enterobacter spp. (n = 108), Pseudomonas aeruginosa (n = 49), Acinetobacter baumanii (n = 33), Stenotrophomonas maltophilia (n = 20), Escherichia coli (n = 14) and 29 isolates of other 13 species. Prospective surveillance of colistin resistance in Czech hospitals was carried out during 2.5-year period between January 2018 and June 2020. It resulted in the collection of 1,250 isolates of Klebsiella pneumoniae (n = 491), Enterobacter spp. (n = 311), Escherichia coli (n = 179), Pseudomonas aeruginosa (n = 99), Acinetobacter baumanii (n = 43), Hafnia alvei (n = 28), Klebsiella variicola (n = 20), Acinetobacter spp. (n = 15), Salmonella enterica (n = 15), Klebsiella oxytoca (n = 14), Klebsiella aerogenes (n = 10), and 25 isolates of other 11 species. Strain identification was performed by a matrix-assisted laser desorption ionization-time of flight mass spectrometer (MALDI-TOF) using MALDI Biotyper software (Bruker Daltonics, Bremen, Germany). Species-level discrimination of Enterobacter spp. was performed using average nucleotide identity (ANI) (Yoon et al., 2017) and digital DNA–DNA hybridization (Meier-Kolthoff et al., 2013) of whole genome sequences. Eight types of strains were used as reference species, including Enterobacter asburiae (ATCC35953T), Enterobacter bugandensis (DSM 29888T), Enterobacter cloacae (ATCC13047T), Enterobacter dykesii (DSM111347T), Enterobacter hormaechei (ATCC49162T), Enterobacter kobei (DSM13645T), Enterobacter vonholyi (DSM110788TT), Enterobacter roggenkampii (DSM16690T).
All isolates were subjected to multiplex polymerase chain reaction (PCR) to detect the variants of mcr genes (mcr-1 to mcr-9) (Rebelo et al., 2018; Wang et al., 2018; Kieffer et al., 2019).
Antimicrobial susceptibility testing
Susceptibility profiles of mcr-positive isolates were determined by the broth microdilution method using the following 15 antimicrobial substances: amikacin, ampicillin, ampicillin/sulbactam, cefepime, cefotaxime, cefoxitin, ceftazidime, ceftolozane/tazobactam, colistin, cotrimoxazole, ciprofloxacin, gentamicin, meropenem, piperacillin/tazobactam and tobramycin. The production of ESBL and AmpC type beta-lactamase was tested by a double-disk synergy test (European Committee on Antimicrobial Susceptibility Testing, 2017). The production of carbapenemase was tested by a combination disc test method (European Committee on Antimicrobial Susceptibility Testing, 2017) and biochemical tests (BioRad-Beta-Carba test), while carbapenem hydrolysis was tested by MALDI-TOF (Papagiannitsis et al., 2015).
Conjugative transfer of mcr genes
Conjugation assays were performed to determine the transferability of mcr genes into plasmid-free sodium azide-resistant E. coli J53 K12 recipient cells using the filter-mating method (Borowiak et al., 2019). The transconjugants (TCs) were selected on LB agar plates (LBA) with sodium azide (100 mg/L) and colistin (0.5 mg/L). Successful transfer of the plasmid-mediated colistin resistance via conjugation was confirmed by PCR targeting the mcr gene (Rebelo et al., 2018; Wang et al., 2018; Kieffer et al., 2019) and E. coli J53 K12 (Bauer et al., 2007). The size and number of plasmids transferred were estimated by pulsed-field gel electrophoresis (PFGE) using S1 nuclease (Centers for Disease Control and Prevention, 2004) and PCR-based replicon typing (PBRT; Carattoli et al., 2005).
Whole genome sequencing and plasmid characterization
Genomic DNA of all mcr-positive isolates was extracted using the NucleoSpin® Tissue Kit (Macherey-Nagel GmbH & Co, Duren, Germany). The libraries were prepared using the Nextera XT DNA Sample Preparation Kit and sequenced on the MiSeq or NovaSeq 6,000 platform (Illumina, San Diego, CA, United States). Raw reads were quality- and adaptor-trimmed using Trimmomatic v0.39 (Bolger et al., 2014) and assembly was performed by SPAdes v3.12.0 (Bankevich et al., 2012) and assembled data were analyzed using the CGE tools1 that were used to identify antibiotic resistance genes (ResFinder 4.1) (Zankari et al., 2012), multi-locus sequence types (MLST 2.0) (Larsen et al., 2012), plasmid replicons (PlasmidFinder 2.1) and plasmid sequence types (STs) (pMLST 2.0) (Carattoli et al., 2014). Chromosomal mutations for resistance to fluoroquinolones and colistin in E. coli and K. pneumoniae isolates were determined by PointFinder (Zankari et al., 2017). Sequences of six IncX4 plasmids carrying mcr-1 were extracted from Illumina data and gaps were filled by a PCR-based strategy and Sanger sequencing.
A complete nucleotide sequence of 12 selected isolates was obtained using long-read sequencing on the MinION platform (Oxford Nanopore Technologies, ONT, Oxford, United Kingdom). Genomic DNA was extracted by Genfind V3 (Beckman Coulter, United States). Libraries were constructed using a SQK-RBK004 rapid barcoding 1D kit according to the manufacturer’s protocol. The barcoded library mix was loaded onto a flow cell (FLO-MIN106 R9.4 SpotON) and sequenced for 48 h. The raw electrical signals were basecalled using Guppy v4.2.2 (ONT) and raw reads in fastq format were obtained. BBDuk2 and Porechop v0.2.4 (ONT) were used for adaptor and quality trimming (Q ≤ 7) and for demultiplexing, respectively. Whole plasmid sequences were assembled using Unicycler v0.4.8 (Wick et al., 2017) and Flye v2.6 (Lin et al., 2016) and polished by Illumina reads using Pilon v1.23 (Walker et al., 2014). For sequence analysis and annotation, BLAST,3 the ISfinder database, and the open reading frame (ORF) finder tool4 were used. Comparative genome alignment with corresponding reference plasmids was performed using Mauve v.2.3.1 (Darling et al., 2010). Figures were generated from sequence data using BRIG v.0.95 (Alikhan et al., 2011) and clinker v0.0.23 (Gilchrist and Chooi, 2021).
Phylogenetic analysis
In total, four different datasets were subjected to phylogenetic analysis. Two of them were local phylogenetic trees including only isolates from our collection: the first one comprised all detected mcr-carrying E. coli isolates and the second one showed the phylogeny of Enterobacter spp. genomes. The third tree was global and comprised genomes of 449 E. coli ST744 isolates that were available at EnteroBase in April 20215 along with 10 ST744 isolates from our collection. These three trees were generated based on a core-genome determined employing a Roary pipeline v3.12.0 (Page et al., 2015) and aligned with MAFFT v7.313 (Katoh and Standley, 2013). Trees were inferred under the GTR + CAT model using FastTree v2.1.11 (Price et al., 2010) compiled with double precision arithmetic.
Remaining detailed tree topology was constructed based on a pipeline described in a previous study (Forde et al., 2022) using Python scripts that are available on GitHub.6 Based on the E. coli ST744 global tree, 38 Illumina SRA archives belonging to isolates that were closely related to 10 ST744 isolates from our collection were gathered from the GenBank database in May 2021. Raw sequencing reads of those 38 isolates along with another 10 from our collection were subjected to quality trimming via Trimmomatic tool v0.36 (Bolger et al., 2014) and consequently mapped to E. coli str. K-12 substr. MG1655 reference genome (GenBank accession U00096.3) using Bowtie2 v2.3.4.2 (Langmead and Salzberg, 2012). Single nucleotide polymorphisms (SNPs) were detected in individual isolates by VarScan v2.4.4 (Koboldt et al., 2012) using the following parameters: minimum read depth of 8; minimum base quality of 20; variant allele frequency ≥ 0.80. Problematic sites were then removed based on the following rules: occurred in phage regions as detected by PHASTER (Arndt et al., 2016); occurred in repetitive/homologous genomic regions; more than 5 isolates at a particular site showed prevalent base frequency below 80% or/and read depth below 8. The resulting alignment file was then subjected to maximum-likelihood analysis using RAxML v8.2.11 (Stamatakis, 2014) under the GTR + CAT model of nucleotide substitution with 500 rapid bootstrap replicates using sample SRR9990292 as an outgroup. Tree topologies were visualized via iTOL v6.3 (Letunic and Bork, 2021) and edited using Inkscape v1.1.7 The SNP distance matrix was generated by snp-dists 0.7.0 software.8
Nucleotide sequence accession numbers
Genome assemblies, SRA archives and annotated plasmid sequences (Table 1) were deposited in the NCBI under BioProject with accession number PRJNA772899.
Table 1. The characteristics of sequenced mcr-encoding plasmids.
Statistical analysis
The statistical significance of the increasing prevalence of mcr genes between 2018 and 2020 was calculated using Fisher’s exact test (two tailed) using a significance level α = 0.05.
Results
mcr-positive Enterobacterales isolates
From all 1932 examined colistin-resistant isolates, 73 (3.8%) were identified to carry mcr genes (Supplementary Table S1). Most (65/73) isolates were detected during the prospective years, including eight isolates in 2018 (3%, n = 274), 27 isolates in 2019 (4%, n = 634) and 30 isolates in 2020 (9%, n = 342). The difference in increasing prevalence of mcr genes between 2018 and 2020 was statistically significant (p < 0.007). From the retrospective analysis using a collection of isolates at the National Reference Laboratory for Antibiotics, seven isolates (1%, n = 682) carrying mcr genes were found, including seven Enterobacter spp. from 2010 (n = 1), 2012 (n = 3), 2013 (n = 1), 2014 (n = 2) and one isolate of K. pneumoniae (n = 1) from 2017. Isolates carrying mcr-1 were identified as E. coli (n = 44) and K. pneumoniae (n = 4), while the remaining 25 isolates carried the mcr-9.1 allele. Three of the mcr-9.1-carrying isolates were also positive for mcr-4.2/mcr-4.3. The isolates carrying mcr-9.1 were identified as Citrobacter freundii (n = 1), Enterobacter asburiae (n = 13), Enterobacter kobei (n = 6), Enterobacter cloacae (n = 3). Enterobacter roggenkampii (n = 1) and Enterobacter hormaechei (n = 1). Plasmid-mediated colistin resistance genes were the most common among E. coli as 19% (44/231) colistin-resistant isolates carried mcr-1, while the occurrence in other species was rare (4.4% in Enterobacter spp., 0.4% in K. pneumoniae).
Colistin-resistant isolates carrying mcr-1 (48/73, 66%) showed phenotypic resistance to beta-lactam antibiotics including ampicillin (46/48, 96%), ampicillin/sulbactam (43/48, 90%), cefoxitin (9/48, 19%), piperacillin/tazobactam (9/48, 19%), cefotaxime (5/48, 10%), ceftazidime (5/48, 10%), cefepime (4/48, 8%) and ceftolozane/tazobactam (2/48, 4%). Resistance to other antimicrobials including cotrimoxazole (34/48, 71%), ciprofloxacin (34/48, 71%), trimethoprim (34/48, 71%), gentamicin (11/48, 23%), tobramycin (10/48, 21%) and amikacin (1/48, 2%) was found.
The majority of colistin-resistant isolates carrying mcr-9 were resistant to cefoxitin (25/25, 100%), ampicillin (23/25, 92%), ampicillin/sulbactam (23/25, 92%) and cefotaxime (12/25, 48%). Furthermore, they showed resistance to ceftazidime (9/25, 36%), cotrimoxazole (6/25, 24%), ciprofloxacin (5/25, 20%), tobramycin (5/25, 20%), trimethoprim (5/25, 20%), piperacillin/tazobactam (7/25, 28%), gentamicin (4/25, 16%), cefepime (3/25, 12%), amikacin (2/25, 8%), ceftolozane/tazobactam (2/25, 8%) and meropenem (2/25, 8%).
Nine isolates, including E. coli (n = 4), Enterobacter spp. (n = 3), Citrobacter freundii (n = 1) and K. pneumoniae (n = 1) with resistance to seven or more different antibiotics were simultaneously positive for ESBL production. AmpC beta-lactamase was detected in six Enterobacter spp. isolates and one E. coli isolate.
Analysis of WGS results
The mcr-1-positive E. coli isolates belonged to 26 various STs of which E. coli ST744 was the most common (10/44). Fifteen E. coli isolates were assigned to ST88 (n = 3), ST538 (n = 3), ST1011 (n = 3), ST69 (n = 2), ST162 (n = 2), and ST453 (n = 2), while the remaining 19 isolates belonged to unique STs (Supplementary Table S1 and Figure 1). Four K. pneumoniae isolates carrying mcr-1 were assigned to four different STs (ST147, ST231, ST290, and ST726) and one C. freundii isolate with mcr-9 belonged to ST18. Enterobacter spp. with mcr-9 belonged predominantly to E. asburiae of two different STs, including ST484 (n = 11) and ST358 (2) (Figure 2). Six isolates of E. kobei belonged to ST32 (n = 1), ST2149 (n = 1), ST591 (n = 1), and ST54 (n = 3). All E. kobei ST54 isolates originated from patients in a single hospital and carried mcr-4 apart from mcr-9. Two remaining isolates were identified as E. cloacae ST1525 and were obtained from one patient.
Figure 1. Phylogenetic tree of E. coli isolates with mcr-1 of Czech clinical origin. The metadata in columns represents phylogenetic group (PG); sequence type (ST); type of sample (Sample type): urine (UR), blood (BL), rectal swab (RS), tonsil swab (TS), wound swab (WS), decubitus swab (DS), urethra swab (US); year of isolation (Year) and city where is the hospital related to the isolate recovery (Hospital): Novy Jicin (NJ), Prague (PR), Ostrava (OS), Karvina (KA), Ostrava-Poruba (OR), Opava (OP), Pribram (PI), Plzen (PL), Usti nad Labem (UL), Brno (BR). The turquoise squares represent presence (full square) or absence (empty square) or respective beta-lactamase encoding genes divided as AmpC (bright turquoise), ESBL (medium) and narrow-spectrum beta-lactamases (dark). The next section (mcr-1 on) reveals which plasmid carried mcr-1 gene; the size of the plasmid (Plasmid size) in bp while approx. Sizes (~) are estimated based by S1-PFGE, while the more precise values come from plasmid sequencing; the success of conjugative transfer is indicated (Transfer of mcr-1). The heat map in the last section indicated the amount of antibiotic resistance genes carried by the respective isolate in specified category of antibiotics from zero (white) to maximum of six (dark purple).
Figure 2. Phylogenetic tree of Enterobacter spp. isolates of Czech clinical origin. The metadata specify the species (Species); sequence type (ST), type of sample (Sample type): urine (UR), throat swab (TSH), sputum (SP), blood (BL), tonque swab (TOS), skin swab (SS), wound swab (WS), rectal swab (RS); year of isolation (Year) and city where is the hospital related to the isolate recovery (Hospital): Ostrava (OS), Pribram (PI), Brno (BR), Karlovy Vary (KV), Prague (PR), Brno-Bohunice (BB), Novy Jicin (NJ), Strakonice (ST). The color squares represent presence (full square) or absence (empty square) or respective antibiotic resistance genes divided to genes encoding resistance to colistin (pink), carbapenemases (blue) and other beta-lactamases (turquoise, see legend Figure 1). The heat map in the last section indicated the amount of antibiotic resistance genes carried by the respective isolate in specified category of antibiotics from zero (white) to maximum of five (dark purple).
Most mcr-1-positive isolates carried genes (Supplementary Table S1) conferring resistance to aminoglycosides (36/48), macrolides (42/48), sulphonamides (36/48), tetracycline (33/48) and trimethoprim (31/48). Additionally, 44 mcr-1-positive isolates harbored genes for resistance to narrow-spectrum beta-lactams, including blaTEM-1B (n = 27), blaTEM-135 (n = 4) and blaTEM-32 (n = 3). In two isolates, AmpC beta-lactamase genes blaCMY-2 or blaDHA-1 were detected, while in three isolates, the ESBL genes blaCTX-M-1 (n = 1), blaCTX-M-27 (n = 2) were found. All four mcr-1-positive K. pneumoniae isolates carried fosA, oqxA, oqxB and blaSHV genes.
On the other hand, the majority of mcr-9-positive isolates contained resistance genes to beta-lactams (n = 25) and fosfomycin (n = 22). Specifically, the E. asburiae ST484 isolates carried the blaACT-6 gene, encoding the intrinsic AmpC beta-lactamase, while the E. asburiae ST358 isolates carried blaACT-9 or blaACT-10 variants (Figure 2). The two E. cloacae ST1525 isolates harbored only the blaCMH-3 gene, encoding the chromosomal AmpC. The ST54 E. kobei isolates carried the blaACT-9 and fosA genes. Moreover, ESBL (blaCTX-M-9, blaCTX-M-15) and AmpC beta-lactamase (blaDHA-1, blaCMY-117) were identified in three and two mcr-9-positive isolates, respectively. One E. hormaechei ST91 isolate carried carbapenemase gene blaOXA-48 on IncL plasmid, while the single Citrobacter freundii ST18 isolate carried five beta-lactamase genes, including carbapenemase-encoding gene blaKPC-2 carried by IncR plasmid.
Chromosomal mutations to fluoroquinolones (acrR), cephalosporins (ompK36) and carbapenems (ompK37) were identified in four K. pneumoniae isolates (Supplementary Table S1). In contrast with the susceptibility testing, three of these K. pneumoniae isolates were resistant to fluoroquinolones and only one to cephalosporins. Twenty-five E. coli isolates carried at least one of four mutation variants, including gyrA, gyrB, parC, and parE for resistance to quinolones, and 13 E. coli isolates carried quinolone-resistance genes qnrB (n = 5) or qnrS (n = 8) (Supplementary Table S1) while MIC profiles showed quinolone resistance in 31 isolates. Nine different types of mutations in pmrA/pmrB genes associated with colistin resistance were also found in 11 E. coli isolates (Supplementary Table S1).
Phylogenetic analysis of Escherichia coli ST744
Phylogenetic analysis of ST744 isolates from our collection (n = 10) along with other 38 closely related genomes from public resources showed the formation of two major clades; four isolates were considered as outliers (Figure 3). The first major clade (samples 60462-ERR2352498, green branch) comprised 17 mostly European isolates from animals and humans, and was further divided into two subclades. The second dominant clade (samples ERR3531597 – ERR1971525, violet branch) was composed of 27 cosmopolitan isolates originating from various sources, and was divided into several smaller subclades. Isolates belonging to different major clades showed a variable number of pairwise SNP differences against each other, ranging from 600 up to 3,000. In both major clades, there were apparent clusters of isolates from humans and animals, exhibiting a few dozen of SNPs from each other (Supplementary Table S2). Isolates from our collection were scattered across the tree, five of them belonged to the first clade, four to the second clade, while one sample was an outlier. Our clinical samples 48907, 52857, 55923 and 54343, belonging to the first clade, showed 46–58 SNP differences from three clinical samples from Germany, and 39–49 SNP differences from the two Romanian (RO) isolates from poultry that carried blaCMY-2. One of the RO isolates also carried the mcr-1.1 gene that was borne by all isolates from our Czech clinical collection. Those RO isolates were also closely related to three clinical isolates from Germany (exhibited <20 SNP differences from each other). Isolate 60061 from the Czech collection clustered with a clinical isolate from Thailand (110 SNPs) and a Chinese isolate from a pig (128 SNPs). Notably, the Swiss isolate also carried mcr-1.1. Our isolates 45082 and 54444 were related to another clinical isolate from the United Kingdom (66 and 73 SNPs) and also to an environmental isolate from a river in Japan (73, and 80 SNPs, respectively). Isolate 52637 from our collection showed the least SNP counts against three Australian isolates from gulls (36–37 SNPs) and three clinical isolates, one from Switzerland (36 SNPs), and another from Germany (39 SNPs), and Russia (42 SNPs).
Figure 3. Phylogenetic tree of Czech clinical E. coli ST744 isolates with selected sequences from global collection. The red labels indicate isolates coming from this study. The metadata specifies country of origin (Country): China (CH), The United States (US), Poland (PO), Czech Republic (CZ), Germany (GE), Norway (NO), Nigeria (NI), Romania (RO), United Kingdom (UK), Thailand (TH), Ireland (IR), France (FR), Ukraine (UK), Australia (AU), Russia (RU), Switzerland (SW), not available (NA), the source of origin (Source) and the year of isolation (Year). The colour squares represent presence (full square) or absence (empty square) or respective antibiotic resistance genes divided to genes encoding resistance to colistin (pink), carbapenemases (blue) and other beta-lactamases (turquoise, see legend Figure 1).
Structure of mcr-1-carrying plasmids
The mcr-1 gene was located predominantly on 33 kb IncX4 plasmids (34/48). Six complete plasmids from E. coli and K. pneumoniae obtained by long-read sequencing (Table 1) showed a high level of nucleotide similarity (>99.9%) to each other as well as to plasmids from raw meat from Czech retails (Zelendova et al., 2021; Supplementary Figure S1). The mcr-1 gene was bordered by a hypothetical protein and a PAP2 transmembrane protein, which is the typical genetic surrounding for mcr-1 gene within IncX4 plasmids (Zelendova et al., 2021).
The mcr-1 was also carried by ~60 kb IncI2 plasmids (n = 8). Plasmid pMCR1-53288 originating from E. coli ST538 from urine obtained by MinION sequencing shared high sequence similarity (>98%) with several plasmids available in the GenBank database, including pMCR_1884_C3 and pMCR_1138_A1 from C. braakii and E. coli ST162, respectively, isolated from imported meat sold in Czech retails (Zelendova et al., 2021; Supplementary Figure S2). The mcr-1 region was inserted downstream of the nikB gene, encoding a DNA topoisomerase III, as observed in other IncI2 mcr-1-positive plasmids like pMCR_1884_C3. No other resistance genes were located on IncI2 plasmids.
From our collection, six Enterobacterales isolates were found to harbor IncHI2 plasmids with the mcr-1 gene. The complete sequence of three mcr-1-positive IncHI2 plasmids, pMCR1-59496, pMCR1-43934, and MCR1-51133, was determined using MinION technology. BlastN analysis showed that all sequenced IncHI2 plasmids, ranging from ~225 to ~255 kb in size, belonged to ST4 and were closely related (coverage 80–99%, identity 99%) to each other (Figure 4), as well as to other mcr-1-carrying IncHI2 plasmids, like pMCR_915_C1 and pMCR_1085_C1 from E. coli recovered from imported meat (Zelendova et al., 2021), and plasmid pKP121-1-mcr (Ruan et al., 2019) of human clinical origin from China. All IncHI2 plasmids contained regions for conjugative transfer (htd, orf, tra genes) and plasmid maintenance (par gene). Additionally, IncHI2 plasmids carried tellurium resistance genes in two clusters, including terZABCDEF and terXYW (except p56099). In all InHI2 plasmids, characterized during this study, the mcr-1 gene was inserted downstream of the terY2 gene, as observed in other IncHI2 plasmids like pMCR_1085_C1. Similar to pMCR_1085_C1, the mcr-1 gene was bounded by an ISApl1 element and PAP2 transmembrane protein (Zelendova et al., 2021). All IncHI2 mcr-1-positive plasmids exhibited at least one MDR region, which ranged in size from 950 to 36,097 bp (Figure 4).
Figure 4. BRIG comparison of mcr-1.1-encoding IncHI2/ST4 plasmids. The plasmid pMCR1-59496 from K. pneumoniae ST726 identified in our study from urine sample (OP950836) was used as a reference. Two other plasmids originated from our collection, including pMCR1-43934 from E. coli ST8186 from tonsil swab sample and pMCR1-51133 from E. coli ST117 from a urine sample. The sequence alignment includes pMCR_915_C1 (MT929284.1) and pMCR_1085_C1 (MT929286.1) from E. coli recovered from raw turkey meat imported to the Czech Republic from Poland and one of plasmid pKP121-1-mcr (CP031850.1) from K. pneumoniae ST2570 from human blood in China.
Structure of mcr-4-encoding plasmids
mcr-4 was located on ColE10 plasmids in three E. kobei ST54 isolates. Plasmid pMCR4-26153 of size 12,808 bp recovered from a rectal swab of a patient in the Czech Republic was identical (100% coverage, 100% identity) to pIB2020_ColE_MCR (Marchetti et al., 2021) from E. kobei ST54 strain from a rectal swab of a 56 years old male patient hospitalized in 2019 in Italy (Supplementary Figure S3).
Structure of mcr-9.1-carrying elements
Out of the 25 mcr-9.1-positive isolates, eight were characterized by MinION technology. Among the latter isolates, three carried the mcr-9.1 allele on IncHI2 plasmids (Table 1) while, in the five remaining isolates, the mcr-9.1 was found on the chromosome. Plasmid pMCR9-57185 originated from C. freundii ST18 recovered from a rectal swab, while pMCR9-16539 was obtained from E. kobei ST591 from blood and pMCR9-17620 came from E. hormaechei ST91 recovered from a wound swab.
Following the IncHI2 pDLST scheme, plasmids pMCR9-57185 and pMCR9-16539 were typed as ST1, while pMCR9-17620 was assigned to ST17. All plasmids exhibited closely related sequences (>89% coverage, 99.99% identity) to other mcr-9.1-positive IncHI2 plasmids (Supplementary Figure S4), like p49790_MCR from an E. hormaechei isolate recovered previously from Czech hospitals (Bitar et al., 2020). Similar to p49790_MCR, the mcr-9.1 was inserted upstream of the pcoS gene (encoding a membrane protein for resistance to copper), in all IncHI2 plasmids like p49790_MCR. Additionally, in plasmids pMCR9-57185 and pMCR9-16539, the mcr-9.1 gene was bounded by an IS element (upstream) and an ORF (downstream), encoding a cupin fold metalloprotein, followed by IS26. However, in plasmid pMCR9-17620, an IS1 was found downstream of mcr-9.1. Furthermore, IncHI2 plasmids contained at least one MDR region, including genes for resistance to aminoglycosides, tetracyclines, trimethoprim, chloramphenicol, sulfonamides, quinolones, and/or macrolides (Table 1). Moreover, IncHI2 plasmids carried tellurium resistance genes (terZABCDEF) commonly associated with this plasmid family, and genes conferring arsenic resistance (arsCBRH).
The mcr-9.1 gene was integrated into the chromosomes of four E. cloacae complex isolates obtained by long-read assembly. The upstream genetic surroundings were identical in all isolates, consisting of mcr-9.1, IS903B, pcoS, pcoE, rcnA, and rcnR genes, while the downstream sequences differed. In isolates 50607 and 59720, the mcr-9.1 was followed (downstream) by wbuC, IS26 and IS1A forming a region rcnR-rcnA-pcoE-pcoS-IS903B-mcr-9.1-wbuC-IS26 identical to the respective region of the plasmid pMCR9-57185. On the other hand, the downstream environment of mcr-9.1 in isolates 56674 and 57166 consisted of wbuC, qseC, qseB and ATPase ORF similar to the corresponding region in the chromosome of a Japanese human isolate Enterobacter asburiae A2563 (AP022628), visualized in Figure 5.
Figure 5. Genetic surroundings of mcr-9.1 gene located on chromosomes in Enterobacter. The linearized coding sequences of MCR-9.1 region of four isolates were compared using clinker with identity threshold 90%. The MCR-9.1 (pink) surrounded by mobile genetic elements (turquoise) and other coding sequences (gray) in isolates 50607 and 59720 formed a region corresponding to the mcr-9 region observed in IncHI2/ST1 plasmids. On the other hand, 57166 and 56674 isolates contained downstream sequence similar to the previously described mcr-9 environment in E. asburiae (AP022628). White numbers in links correspond to the similarity of coding sequences.
Horizontal transfer of mcr gene
Resistance to colistin associated with mcr-1 was transferred to recipient E. coli laboratory strains via conjugation in the majority of E. coli isolates (38/44, 86%) and in all isolates of K. pneumoniae (4/4, 100%). The most frequently transferred plasmid harboring mcr-1 included 33 kb plasmid IncX4 (31/34, 91%), followed by 55 kb IncI2 (8/8, 100%) and 220 kb IncHI2 (4/6, 67%) plasmids. IncHI2 plasmid with mcr-9 was transferred via conjugation in one E. asburiae isolate. Also, ColE10 plasmid carrying mcr-4 was not transferred via conjugation, since this plasmid family does not contain any transfer region.
Discussion
Within this study, we performed a surveillance of mcr-encoding genes among colistin-resistant Enterobacterales collected from Czech hospitals between 2009 and 2020. Our findings indicated a low prevalence of mcr genes among colistin-resistant isolates, with a slightly increasing prevalence during the study period. However, the prevalence of mcr-positive isolates may be overestimated since our collection was composed only of colistin-resistant isolates and did not include the bacterial population susceptible to colistin. Moreover, another study limitation is the fact that isolates from retrospective sampling from the period 2009–2017 were obtained during various surveillance programmes at the National Institute of Public Health. As these programmes were focused mainly on Klebsiella sp., invasive E. coli or they were targeting MDR strains, the data of mcr prevalence from this period needs to be interpreted with caution.
Other studies from Europe have reported a low prevalence of colistin-resistant isolates and of mcr-positive Enterobacterales. The Czech study by Tkadlec et al. (2021) found E. coli with mcr-1 gene in only 0.21% (4/1922) of fecal samples from hospitalized patients. A study from Switzerland reported that the fecal carriage rate of colistin-resistant (MIC value >2 mg/L) Enterobacterales was 1.5% for healthy people and 3.8% for primary care patients (Zurfluh et al., 2017). Additionally, in Finland, only one mcr-1-positive E. coli was characterized from fecal samples collected from 176 healthy volunteers (Gröndahl-Yli-Hannuksela et al., 2018). In Spain, the overall prevalence of colistin resistance in clinical isolates of Enterobacterales was 0.67% and mcr-1 was detected only in E. coli (0.15%) (Prim et al., 2017). Similar prevalence levels were observed for Romagna, Northern Italy, where the prevalence of colistin-resistant isolates among human Enterobacterales was 0.5% and the mcr-1 gene was found in 0.14% E. coli isolates (Del Bianco et al., 2018). On the other hand, higher percentages of mcr-carrying isolates have been reported in some areas outside Europe. Giani et al. (2018) reported a high proportion (38.8%) of mcr-1 carriers among healthy children (129/337) from Bolivia. Furthermore, in Chinese hospitals across 24 provincial capital cities and municipalities, human carriage of mcr-1-positive E coli was identified in 644 (14.3%) of 4,498 samples in 2016 (Wang Y. et al., 2020). However, different methodological approaches, study designs and sample types (e.g., selective cultivation on colistin-supplemented media, targeting isolates despite their susceptibility profiles, PCR detection of mcr genes in either total enterobacterial gut microbiota or directly in a clinical sample) significantly limit the comparison of prevalence data between the studies. Moreover, the discrepancy in the prevalence of mcr carriers between studies and geographical regions underlines the other factors, like antibiotic use and stewardship protocols, contributing to the emergence and spread of colistin-resistant isolates.
In this study, the majority of isolates carried mcr-1 followed by mcr-9 and mcr-4 variants. Most mcr-1 carriers were E. coli and the gene was present in 23% of all resistant isolates of this species, which is in agreement with findings of previous study (Zelendova et al., 2021). Most of the mcr-9.1-carrying isolates in our study belonged to Enterobacter spp. Previous studies have shown that the mcr-9 gene is commonly associated with isolates belonging to the Salmonella and Enterobacter genus (Bitar et al., 2020; Liao et al., 2022; Zhang et al., 2022). Interestingly, the low resistance levels to colistin of MCR-9-producing Enterobacter isolates have been reported (Bitar et al., 2020). This observation may explain the unnoticed spread of those isolates in Czech hospitals. Remarkably, 96% of isolates (70/73) carried AmpC/ESBL or carbapenemases, raising the concern that the spread of mcr-carrying isolates might also be related to the use of other antimicrobial agents, including clinically important beta-lactams.
MLST revealed the presence of mcr genes in various STs of E. coli, K. pneumoniae, and Enterobacter sp., highlighting the significant impact of horizontal gene transfer in the spread of colistin resistance determinants via plasmids. Additionally, phylogenetic analysis uncovered the association of mcr genes with specific clones, like E. kobei ST54, which has been previously reported to produce MCR-4.3 from clinical samples recovered in Italy (Marchetti et al., 2021). Of note, these observations underline the important role of traveling across borders, that has contributed to the spread of MDR bacteria.
Finally, analysis of mcr-carrying plasmid sequences showed the presence of mcr-1, mainly on IncX4 replicons, but also on IncI2 and IncHI2 plasmids. These findings are in agreement with the previously published data, showing the emergence of mcr genes on the specific Inc groups of plasmids that were characterized from Enterobacterales recovered from different sources, including animals, food and humans (Xavier et al., 2016; Zurfluh et al., 2017; El Garch et al., 2018; Bitar et al., 2020; Li et al., 2020; Marchetti et al., 2021; Zelendova et al., 2021). Furthermore, our experiments demonstrated a high efficiency of conjugative transfer of mcr-1-carrying IncX4 plasmids. Also, the conjugative transfer of IncHI2 plasmids carrying mcr-1 or mcr-9 was confirmed. Thus, the horizontal transfer of plasmid-mediated mcr genes represents an important risk factor for public health since colistin is considered as one of the last-resort antibiotics for the treatment of serious infections in human medicine. Therefore, studying the spread of MDR pathogens is vital for analysis of transmission pathways and risk factors for public health.
The prospective epidemiological survey performed in this study brought the first information on the plasmid-mediated dissemination in the Czech Republic and showed that a surveillance system is essential to monitor the diffusion of plasmid mediated colistin resistance.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, PRJNA772899.
Ethics statement
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
Author contributions
MZ performed laboratory work, data analysis, and prepared the manuscript. CP performed data analysis and prepared the manuscript. PS performed laboratory work and helped with the manuscript preparation. MM performed bioinformatic analyses of whole-genome sequencing data. JP conducted MinION sequencing and helped with plasmid analysis. KN contributed on figure preparation. VJ, KP, and HZ provided the samples. IJ performed whole-genome sequencing. MD supervised the project, performed data analysis, and revised the manuscript. All authors discussed the results. Members of the surveillance network provided the clinical isolates and metadata obtained during the standard microbiological testing in their laboratories.
Working group for monitoring of antibiotic resistance
Vaclava Adamkova, First Faculty of Medicine and University Hospital, Charles University, Prague; Natasa Bartonikova, Bata’s Hospital, Tamara Bergerova, Faculty of Medicine and University Hospital in Plzen, Charles University, Plzen; Marie Bohackova, Hospital in Chrudim, Chrudim; Czysova Erika, Hospital in Sumperk, Sumperk; Josef Cermak, Health institute Usti nad Labem, Kladno; Martina Curdova, Military Hospital Praha, Daniela Fackova, Liberec Regional Hospital, Liberec; Linda Drabkova, University Hospital in Brno, Brno; Lenka Dvorakova, Masaryk Hospital in Usti nad Labem, Usti nad Labem; Galina Eliasova, Regional Hospital Kladno, Kladno; Vladimir Fibiger, Hospital and Polyclinic Ceska Lipa, Ceska Lipa; Marian Glasnak, Rudolf and Stefania Benesov Hospital, Benesov; Vera Haskova, Health institute Usti nad Labem, Horovice; Gabriela Hedvicakova, Hospital in Semily, Semily; Blanka Horova, Bulovka University Hospital, Prague; Eva Chmelarova, AGELLAB, Ostrava-Vitkovice; Jan Kubele, Hospital Na Homolce, Prague; Eva Jechova, Thomayer University Hospital, Prague; Petr Jezek, Regional Hospital in Pribram, Pribram; Helena Jordakova, University Hospital in Kralovske Vinohrady, Prague; Jana Jurankova, SPADIA LAB, Brno; Miloslava Kocianova, SYNLAB, Prague; Ivana Kohnova, AGEL Prostejov Hospital, Prostejov; Dana Krckova, IFCOR-99, Brno; Eva Krejci, Health Institute in Ostrava, Ostrava; Hana Kremeckova, Hospital in Kyjov, Kyjov; Alice Kucharova, Hospital in Tabor; Katerina Laskafeldova, AGEL Laboratory, Novy Jicin; Jiri Malina, AeskuLab Hadovka, Prague; Eva Martinkova, DIA-GON MP, Cheb; Monika Mazurova, Hospital Usti nad Labem, Zamberk; Marian Mednansky, Hospital in Havlickuv Bod, Havlickuv Brod; Eliska Miskova, Hospital in Trebic, Trebic; Lenka Nanakova, Hospital in Hodonin, Hodonin; Helena Nedvedova, Hospital in Klatovy, Klatovy; Otakar Nyc, University Hospital in Motol, Charles University, Prague; Blanka Ochvatova, SPADIA LAB, Ostrava; Pavla Paterova, University Hospital in Hradec Kralove, Hradec Kralove; Zdena Pitakova, Hospital in Vyskov; J. Podrouzkova, Sang Lab, Karlovy Vary; Miroslava Prejzkova, Synlab, Chomutov; Renata Pribikova, Hospital in Litomerice; Blanka Puchalkova, Hospital in Karlovy Vary, Karlovy Vary; Jana Repiscakova, Hospital in Uherske Hradiste, Uherske Hradiste; Zuzana Semerakova, SPADIA LAB, Prague; Helena Skacani, Hospital in Jihlava, Jihlava; Marketa Skruzna, Institute of Clinical and Experimental Medicine, Prague; Marie Smolikova, Hospital in Jicin, Jicin; Martina Sosikova, Silesian Hospital in Opava, Opava; Michal Stanek, Hospital in Znojmo, Znojmo; Alena Steinerova, CITYLAB, Prague; Petra Safarova, Laboratory of Medical Microbiology, Pardubice; Lenka Semberova, Czech Laboratory, Prague; Eva Simeckova, Hospital in Strakonice, Strakonice; Ljuba Suchmanova, Health institute Usti nad Labem, Plzen; David Sus, Hospital in Ceske Budejovice, Ceske Budejovice; Renata Tejkalova, University Hospital of St. Anna, Masaryk University, Brno; Jan Tkadlec, Hospital in Vsetin, Vsetin; Lenka Unuckova, Hospital in Kolin, Kolin; Danuta Urbusova, AGEL Laboratory, Trinec; Vera Kurkova, Hospital in Pisek, Pisek; Denisa Vesela, Hospital in Jindrichuv Hradec, Jindrichuv Hradec; Eva Vesela, Hospital in Nachod, Nachod; Eva Vitova, Hospital in Trutnov, Trutnov; Eva Zalabska, Hospital in Pardubice, Pardubice; Dana Zamazalova, Hospital in Nove Mesto Na Morave, Nove Mesto Na Morave; Roman Zaruba, Hospital in Most, Most; Ilona Zemanova, VIDIA DIAGNOSTIKA, Prague.
Funding
This project was funded by projects of Czech Health Research Council NV18-09-0060 and NU20J-09-0040, the Internal Grant Agency 205/2022/FVHE and partially Ministry of Health, Czech Republic – conceptual development of research organization (FNBr, 65269705).
Acknowledgments
We thank Dana Cervinkova, Iva Sukkar, and Katarina Stredanska for their assistance in the laboratory and to Adam Valcek for his help with data analysis.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1147846/full#supplementary-material
Footnotes
2. ^https://jgi.doe.gov/data-and-tools/software-tools/bbtools/bb-tools-user-guide/
3. ^www.ncbi.nlm.nih.gov/BLAST
4. ^www.bioinformatics.org/sms/
5. ^http://enterobase.warwick.ac.uk/
6. ^https://github.com/matejmedvecky/anthraxdiversityscripts
References
Aghapour, Z., Gholizadeh, P., Ganbarov, K., bialvaei, A. Z., Mahmood, S. S., Tanomand, A., et al. (2019). Molecular mechanisms related to colistin resistance in Enterobacteriaceae. Infect. Drug Resist. 12, 965–975. doi: 10.2147/IDR.S199844
Alikhan, N. F., Petty, N. K., Ben Zakour, N. L., and Beatson, S. A. (2011). BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons. BMC Genomics 12, 1–10. doi: 10.1186/1471-2164-12-402
Arndt, D., Grant, J. R., Marcu, A., Sajed, T., Pon, A., Liang, Y., et al. (2016). PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Res. 44, W16–W21. doi: 10.1093/nar/gkw387
Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M., Kulikov, A. S., et al. (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
Bauer, A. P., Dieckmann, S. M., Ludwig, W., and Schleifer, K.-H. (2007). Rapid identification of Escherichia coli safety and laboratory strain lineages based on multiplex-PCR. FEMS Microbiol. Lett. 269, 36–40. doi: 10.1111/j.1574-6968.2006.00594.x
Bitar, I., Medvecky, M., Gelbicova, T., Jakubu, V., Hrabak, J., Zemlickova, H., et al. (2019). Complete Nucleotide Sequences of mcr-4.3 -Carrying Plasmids in Acinetobacter baumannii Sequence Type 345 of Human and Food Origin from the Czech Republic, the First Case in Europe. Antimicrobial. Agents Chemother. 63. doi: 10.1128/aac.01166-19
Bitar, I., Papagiannitsis, C. C., Kraftova, L., Chudejova, K., Mattioni Marchetti, V., and Hrabak, J. (2020). Detection of five mcr-9 -carrying Enterobacterales isolates in four czech hospitals. mSphere 5:e01008-20. doi: 10.1128/mSphere.01008-20
Bolger, A. M., Lohse, M., and Usadel, B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. doi: 10.1093/bioinformatics/btu170
Borowiak, M., Hammerl, J. A., Deneke, C., Fischer, J., Szabo, I., and Malorny, B. (2019). Characterization of mcr-5-harboring Salmonella enterica subsp. enterica serovar typhimurium isolates from animal and food origin in germany. Antimicrob. Agents Chemother. 63:e00063-19. doi: 10.1128/aac.00063-19
Carattoli, A., Bertini, A., Villa, L., Falbo, V., Hopkins, K. L., and Threlfall, E. J. (2005). Identification of plasmids by PCR-based replicon typing. J. Microbiol. Methods 63, 219–228. doi: 10.1016/j.mimet.2005.03.018
Carattoli, A., Villa, L., Feudi, C., Curcio, L., Orsini, S., Luppi, A., et al. (2017). Novel plasmid-mediated colistin resistance mcr-4 gene in Salmonella and Escherichia coli, Italy 2013, Spain and Belgium, 2015 to 2016. Eur. Secur. 22:30589. doi: 10.2807/1560-7917.ES.2017.22.31.30589
Carattoli, A., Zankari, E., García-Fernández, A., Voldby Larsen, M., Lund, O., Villa, L., et al. (2014). In silicodetection and typing of plasmids using plasmidfinder and plasmid multilocus sequence typing. Antimicrob. Agents Chemother. 58, 3895–3903. doi: 10.1128/AAC.02412-14
Centers for Disease Control and Prevention (2004). Standardized molecular subtyping of foodborne bacterial pathogens by pulse-field gel electrophoresis. Centers for Disease Control and Prevention, Atlanta, GA.
Dalmolin, V. T., de Lima-Morales, D., and Barth, L. A. (2018). Plasmid-mediated colistin resistance: what do we know? J. Infect. 1, 16–22. doi: 10.29245/2689-9981/2018/2.1109
Darling, A. E., Mau, B., and Perna, N. T. (2010). progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PLoS One 5:e11147. doi: 10.1371/journal.pone.0011147
Del Bianco, F., Morotti, M., Pedna, M. F., Farabegoli, P., and Sambri, V. (2018). Microbiological surveillance of plasmid mediated colistin resistance in human Enterobacteriaceae isolates in Romagna (Northern Italy): August 2016–July 2017. Int. J. Infect. Dis. 69, 96–98. doi: 10.1016/j.ijid.2018.02.006
Doumith, M., Godbole, G., Ashton, P., Larkin, L., Dallman, T., Day, M., et al. (2016). Detection of the plasmid-mediated mcr-1 gene conferring colistin resistance in human and food isolates of Salmonella enterica and Escherichia coli in England and Wales. J. Antimicrob. Chemother. 71, 2300–2305. doi: 10.1093/jac/dkw093
ECDC, European Centre for Disease Prevention and Control (2019). ECDC Technical Report, Expert consensus protocol on colistin resistance detection and characterisation for the survey of carbapenem- and/or colistin-resistant Enterobacteriaceae. Available at: https://www.ecdc.europa.eu/sites/default/files/documents/expert-consensus-protocol-colistin-resistance.pdf
El Garch, F., de Jong, A., Bertrand, X., Hocquet, D., and Sauget, M. (2018). mcr-1-like detection in commensal Escherichia coli and Salmonella spp. from food-producing animals at slaughter in Europe. Vet. Microbiol. 213, 42–46. doi: 10.1016/j.vetmic.2017.11.014
El-Sayed Ahmed, M. A. E.-G., Zhong, L.-L., Shen, C., Yang, Y., Doi, Y., and Tian, G.-B. (2020). Colistin and its role in the Era of antibiotic resistance: an extended review (2000–2019). Emerg. Microbes Infect. 9, 868–885. doi: 10.1080/22221751.2020.1754133
European Committee on Antimicrobial Susceptibility Testing. (2017). Breakpoint tabled for interpretation of MICs and zone diameters. Version 2.0. Available at: http://www.eucast.org.
Forde, T. L., Dennis, T. P. W., Aminu, O. R., Harvey, W. T., Hassim, A., Kiwelu, I., et al. (2022). Population genomics of Bacillus anthracis from an anthrax hyperendemic area reveals transmission processes across spatial scales and unexpected within-host diversity. Microb. Genomics 8:759. doi: 10.1099/mgen.0.000759
Giani, T., Sennati, S., Antonelli, A., Di Pilato, V., di Maggio, T., Mantella, A., et al. (2018). High prevalence of carriage of mcr-1-positive enteric bacteria among healthy children from rural communities in the Chaco region, Bolivia, September to October 2016. Eur. Secur. 23:1800115. doi: 10.2807/1560-7917.ES.2018.23.45.1800115
Gilchrist, C. L., and Chooi, Y. H. (2021). Clinker & clustermap. js: Automatic generation of gene cluster comparison figures. Bioinformatics 37, 2473–2475. doi: 10.1093/bioinformatics/btab007
Gröndahl-Yli-Hannuksela, K., Lönnqvist, E., Kallonen, T., Lindholm, L., Jalava, J., Rantakokko-Jalava, K., et al. (2018). The first human report of mobile colistin resistance gene, mcr-1, in Finland. APMIS 126, 413–417. doi: 10.1111/apm.12834
Hamel, M., Rolain, J.-M., and Baron, S. A. (2021). The history of colistin resistance mechanisms in bacteria: progress and challenges. Microorganisms 9:442. doi: 10.3390/microorganisms9020442
Javed, H., Saleem, S., Zafar, A., Ghafoor, A., Shahzad, A. B., Ejaz, H., et al. (2020). Emergence of plasmid-mediated mcr genes from Gram-negative bacteria at the human-animal interface. Gut Pathogens 12:54. doi: 10.1186/s13099-020-00392-3
Katip, W., Yoodee, J., Uitrakul, S., and Oberdorfer, P. (2021). Efficacy of loading dose colistin versus carbapenems for treatment of extended spectrum beta lactamase producing Enterobacteriaceae. Sci. Rep. 11:18. doi: 10.1038/s41598-020-78098-4
Katoh, K., and Standley, D. M. (2013). MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol. Biol. Evol. 30, 772–780. doi: 10.1093/molbev/mst010
Kieffer, N., Royer, G., Decousser, J.-W., Bourrel, A.-S., Palmieri, M., Ortiz De La Rosa, J.-M., et al. (2019). mcr-9, an inducible gene encoding an acquired phosphoethanolamine transferase in Escherichia coli, and its origin. Antimicrob. Agents Chemother. 63:e00965-19. doi: 10.1128/AAC.00965-19
Koboldt, D. C., Zhang, Q., Larson, D. E., Shen, D., McLellan, M. D., Lin, L., et al. (2012). VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res. 22, 568–576. doi: 10.1101/gr.129684.111
Krutova, M., Kalova, A., Nycova, E., Gelbicova, T., Karpiskova, R., Smelikova, E., et al. (2021). The colonisation of Czech travellers and expatriates living in the Czech Republic by colistin-resistant Enterobacteriaceae and whole genome characterisation of E. coli isolates harbouring the mcr-1 genes on a plasmid or chromosome: A cross-sectional study. Travel Med. Infect. Dis. 39:101914. doi: 10.1016/j.tmaid.2020.101914
Langmead, B., and Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359. doi: 10.1038/nmeth.1923
Larsen, M. V., Cosentino, S., Rasmussen, S., Friis, C., Hasman, H., Marvig, R. L., et al. (2012). Multilocus sequence typing of total-genome-sequenced bacteria. J. Clin. Microbiol. 50, 1355–1361. doi: 10.1128/jcm.06094-11
Letunic, I., and Bork, P. (2021). Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 49, W293–W296. doi: 10.1093/nar/gkab301
Li, Y., Dai, X., Zeng, J., Gao, Y., Zhang, Z., and Zhang, L. (2020). Characterization of the global distribution and diversified plasmid reservoirs of the colistin resistance gene mcr-9. Sci. Rep. 10:8113. doi: 10.1038/s41598-020-65106-w
Liao, W., Cui, Y., Quan, J., Zhao, D., Han, X., Shi, Q., et al. (2022). High prevalence of colistin resistance and mcr-9/10 genes in Enterobacter spp. in a tertiary hospital over a decade. Int. J. Antimicrob. Agents 59:106573. doi: 10.1016/j.ijantimicag.2022.106573
Lin, Y., Yuan, J., Kolmogorov, M., Shen, M. W., Chaisson, M., and Pevzner, P. A. (2016). Assembly of long error-prone reads using de Bruijn graphs. Proc. Natl. Acad. Sci. 113, E8396–E8405. doi: 10.1073/pnas.1604560113
Marchetti, V. M., Bitar, I., Sarti, M., Fogato, E., Scaltriti, E., Bracchi, C., et al. (2021). Genomic characterization of VIM and MCR co-producers: the first two clinical cases, in Italy. Diagnostics 11:79. doi: 10.3390/diagnostics11010079
Meier-Kolthoff, J. P., Auch, A. F., Klenk, H.-P., and Göker, M. (2013). Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformat. 14:60. doi: 10.1186/1471-2105-14-60
Page, A. J., Cummins, C. A., Hunt, M., Wong, V. K., Reuter, S., Holden, M. T. G., et al. (2015). Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31, 3691–3693. doi: 10.1093/bioinformatics/btv421
Papagiannitsis, C. C., Študentová, V., Izdebski, R., Oikonomou, O., Pfeifer, Y., Petinaki, E., et al. (2015). Matrix-assisted laser desorption ionization–time of flight mass spectrometry meropenem hydrolysis assay with NH 4 HCO 3, a reliable tool for direct detection of carbapenemase activity. J. Clin. Microbiol. 53, 1731–1735. doi: 10.1128/JCM.03094-14
Price, M. N., Dehal, P. S., and Arkin, A. P. (2010). FastTree 2–approximately maximum-likelihood trees for large alignments. PLoS One 5:e9490. doi: 10.1371/journal.pone.0009490
Prim, N., Turbau, M., Rivera, A., Rodríguez-Navarro, J., Coll, P., and Mirelis, B. (2017). Prevalence of colistin resistance in clinical isolates of Enterobacteriaceae: A four-year cross-sectional study. J. Infect. 75, 493–498. doi: 10.1016/j.jinf.2017.09.008
Quiroga, C., Nastro, M., and Di Conza, J. (2019). Current scenario of plasmid-mediated colistin resistance in Latin America. Rev. Argent. Microbiol. 51, 93–100. doi: 10.1016/j.ram.2018.05.001
Rebelo, A. R., Bortolaia, V., Kjeldgaard, J. S., Pedersen, S. K., Leekitcharoenphon, P., Hansen, I. M., et al. (2018). Multiplex PCR for detection of plasmid-mediated colistin resistance determinants, mcr-1, mcr-2, mcr-3, mcr-4 and mcr-5 for surveillance purposes. Euro Surveill. 23, 17–00672. doi: 10.2807/1560-7917.ES.2018.23.6.17-00672
Ruan, Z., Sun, Q., Jia, H., Huang, C., Zhou, W., Xie, X., et al. (2019). Emergence of a ST2570 Klebsiella pneumoniae isolate carrying mcr-1 and blaCTX-M-14 recovered from a bloodstream infection in China. Clin. Microbiol. Infect. 25, 916–918. doi: 10.1016/j.cmi.2019.02.005
Stamatakis, A. (2014). RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313. doi: 10.1093/bioinformatics/btu033
Tkadlec, J., Kalova, A., Brajerova, M., Gelbicova, T., Karpiskova, R., Smelikova, E., et al. (2021). The intestinal carriage of plasmid-mediated colistin-resistant Enterobacteriaceae in tertiary care settings. Antibiotics 10:258. doi: 10.3390/antibiotics10030258
Tyson, G. H., Li, C., Hsu, C.-H., Ayers, S., Borenstein, S., Mukherjee, S., et al. (2020). The mcr-9 gene of Salmonella and Escherichia coli is not associated with colistin resistance in the United States. Antimicrob. Agents Chemother. 64:e00573-20. doi: 10.1128/AAC.00573-20
Viñes, J., Cuscó, A., Napp, S., Alvarez, J., Saez-Llorente, J. L., Rosàs-Rodoreda, M., et al. (2021). Transmission of similar mcr-1 carrying plasmids among different Escherichia coli lineages isolated from livestock and the farmer. Antibiotics 10:313. doi: 10.3390/antibiotics10030313
Walker, B. J., Abeel, T., Shea, T., Priest, M., Abouelliel, A., Sakthikumar, S., et al. (2014). Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 9:e112963. doi: 10.1371/journal.pone.0112963
Wang, C., Feng, Y., Liu, L., Wei, L., Kang, M., and Zong, Z. (2020). Identification of novel mobile colistin resistance gene mcr-10. Emerg. Microbes Infect. 9, 508–516. doi: 10.1080/22221751.2020.1732231
Wang, X., Wang, Y., Zhou, Y., Li, J., Yin, W., Wang, S., et al. (2018). Emergence of a novel mobile colistin resistance gene, mcr-8, in NDM-producing Klebsiella pneumoniae. Emerg. Microbes Infect. 7, 1–9. doi: 10.1038/s41426-018-0124-z
Wang, Y., Xu, C., Zhang, R., Chen, Y., Shen, Y., Hu, F., et al. (2020). Changes in colistin resistance and mcr-1 abundance in Escherichia coli of animal and human origins following the ban of colistin-positive additives in China: an epidemiological comparative study. Lancet Infect. Dis. 20, 1161–1171. doi: 10.1016/s1473-3099(20)30149-3
Wick, R. R., Judd, L. M., Gorrie, C. L., and Holt, K. E. (2017). Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput. Biol. 13:e1005595. doi: 10.1371/journal.pcbi.1005595
Xavier, B. B., Lammens, C., Butaye, P., Goossens, H., and Malhotra-Kumar, S. (2016). Complete sequence of an IncFII plasmid harbouring the colistin resistance gene mcr-1 isolated from Belgian pig farms. J. Antimicrob. Chemother. 71, 2342–2344. doi: 10.1093/jac/dkw191
Yilmaz, G. R., Dizbay, M., Guven, T., Pullukcu, H., Tasbakan, M., Guzel, O. T., et al. (2016). Risk factors for infection with colistin-resistant gram-negative microorganisms: a multicenter study. Ann. Saudi Med. 36, 216–222. doi: 10.5144/0256-4947.2016.216
Yoon, S. H., Ha, S. M., Kwon, S., Lim, J., Kim, Y., Seo, H., et al. (2017). Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int. J. Syst. Evol. Microbiol. 67:1613. doi: 10.1099/ijsem.0.001755
Zankari, E., Allesøe, R., Joensen, K. G., Cavaco, L. M., Lund, O., and Aarestrup, F. M. (2017). PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens. J. Antimicrob. Chemother. 72, 2764–2768. doi: 10.1093/jac/dkx217
Zankari, E., Hasman, H., Cosentino, S., Vestergaard, M., Rasmussen, S., Lund, O., et al. (2012). Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 67, 2640–2644. doi: 10.1093/jac/dks261
Zelendova, M., Papagiannitsis, C. C., Valcek, A., Medvecky, M., Bitar, I., Hrabak, J., et al. (2021). Characterization of the complete nucleotide sequences of mcr-1-encoding plasmids from Enterobacterales isolates in retailed raw meat products from the Czech Republic. Front. Microbiol. 11:604067. doi: 10.3389/fmicb.2020.604067
Zhang, Z., Tian, X., and Shi, C. (2022). Global Spread of MCR-Producing Salmonella enterica Isolates. Antibiotics 11:998. doi: 10.3390/antibiotics11080998
Zhu, W., Lawsin, A., Lindsey, R. L., Batra, D., Knipe, K., Yoo, B. B., et al. (2019). Conjugal transfer, whole-genome sequencing, and plasmid analysis of four mcr-1 -bearing isolates from U.S. patients. Antimicrob. Agents Chemotherapy 63:e02417-18. doi: 10.1128/AAC.02417-18
Keywords: antibiotic resistance, Enterobacterales, human, mcr, plasmids
Citation: Zelendova M, Papagiannitsis CC, Sismova P, Medvecky M, Pomorska K, Palkovicova J, Nesporova K, Jakubu V, Jamborova I, Zemlickova H, Dolejska M and Working Group for Monitoring of Antibiotic Resistance (2023) Plasmid-mediated colistin resistance among human clinical Enterobacterales isolates: national surveillance in the Czech Republic. Front. Microbiol. 14:1147846. doi: 10.3389/fmicb.2023.1147846
Edited by:
John Osei Sekyere, University of Pretoria, South AfricaReviewed by:
Chang-Wei Lei, Sichuan University, ChinaJuan Li, Chinese Academy of Sciences (CAS), China
Copyright © 2023 Zelendova, Papagiannitsis, Sismova, Medvecky, Pomorska, Palkovicova, Nesporova, Jakubu, Jamborova, Zemlickova, Dolejska and Working Group for Monitoring of Antibiotic Resistance. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Monika Dolejska, monika.dolejska@gmail.com