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Genome sequences of two clinical Escherichia coli isolates harboring the novel colistin-resistance gene variants mcr-1.26 and mcr-1.27

Abstract

Background

Colistin is still a widely used antibiotic in veterinary medicine although it is a last-line treatment option for hospitalized patients with infections caused by multidrug-resistant Gram-negative bacteria. Colistin resistance has gained additional importance since the recent emergence of mobile colistin resistance (mcr) genes. In the scope of a study on colistin resistance in clinical Escherichia coli isolates from human patients in Germany we characterized the mcr-1 gene variants.

Results

Our PCR-based screening for mcr-carrying E. coli from German patients revealed the presence of mcr-1-like genes in 60 isolates. Subsequent whole-genome sequence-based analyses detected one non-synonymous mutation in the mcr-1 gene for two isolates. The mutations were verified by Sanger sequencing and resulted in amino acid changes Met1Thr (isolate 803-18) and Tyr9Cys (isolate 844-18). Genotyping revealed no relationship between the isolates. The two clinical isolates were assigned to sequence types ST155 (isolate 803-18) and ST69 (isolate 844-18). Both mcr-1 variants were found to be located on IncX4 plasmids of 33 kb size; these plasmids were successfully conjugated into sodium azide resistant E. coli J53 Azir in a broth mating experiment.

Conclusions

Here we present the draft sequences of E. coli isolate 803-18 carrying the novel variant mcr-1.26 and isolate 844-14 carrying the novel variant mcr-1.27. The results highlight the increasing issue of transferable colistin resistance.

Background

The spread of multidrug-resistant Gram-negative bacteria with resistance to carbapenem antibiotics is a serious threat for public health globally and has led to the reintroduction of colistin, also known as polymyxin E, as a treatment option of last resort [1]. The emergence of colistin resistance in Escherichia coli (E. coli), a gut commensal of humans and animals, also appearing as opportunistic pathogen, is due to chromosomal mutations or plasmid-mediated genes (mcr) that were first described in 2015 [2,3,4]. So far, a total of 10 different mcr genes (mcr-1mcr-10) are known; each gene has its origin in a specific bacterial species [5]. The gene mcr-1 is most prevalent and 25 different mcr-1 variants based on single amino acid substitutions have been submitted to the NCBI database, as of March 2020.

In 2015, the prevalence of colistin resistance in E. coli from livestock animals and meat products in Germany was 5–10%; and this colistin resistance was mainly caused by the presence of resistance gene mcr-1 [6]. In contrast, there is no routine testing of colistin susceptibility in human medicine; often only multidrug resistant isolates are occasionally tested. To assess the extent of spread of mcr-1 genes we collected in cooperation with several laboratories, colistin-resistant E. coli isolates from human patients in German hospitals over a 4-year-period (2016-2019). MCR-1 producing isolates were identified by PCR screening, and for the isolates described in this study the transferability of mcr-1 genes was tested in broth mate conjugation experiments. Finally, whole-genome sequencing and subsequent in silico analyses were performed. Here, we present the draft genome sequences of E. coli human isolates 803-18 and 844-18, harboring the novel variants mcr-1.26 and mcr-1.27, each located on an IncX4 33 kb plasmid.

Methods

Bacterial isolates

In 2018, the two colistin-resistant E. coli isolates 803-18 and 844-18 were sent from two hospitals in the federal state of Hesse, Germany, to the Robert Koch Institute for confirmation of colistin resistance and identification of the genetic resistance determinant. The E. coli isolate no. 803-18 was isolated from blood culture of a 79 years old male patient presenting fever. The second E. coli (no. 844-18) was isolated from an intraoperative swab of a 48 years old female patient.

Phenotypic and PCR-based analyses

In the Robert Koch Institute species identification and antimicrobial susceptibility testing was performed by broth microdilution according to EUCAST (clinical breakpoints (v 10.0) or epidemiological cut-off values (ECOFFs), (http://www.eucast.org)). The following antibiotic substances and substance combinations were tested: ampicillin, cefotaxime, ceftazidime, cefoxitin, meropenem, gentamicin, amikacin, streptomycin, nalidixic acid, ciprofloxacin, chloramphenicol, tetracycline, sulfamethoxazole-trimethoprim and colistin.

PCR screening for the presence of colistin resistance gene mcr-1 and in E. coli frequently occurring β-lactamase genes (blaTEM, blaSHV, blaCTX-M-groups-1-2-9) was performed as previously described [4, 7]. Furthermore, a PCR-based method to determine phylogenetic groups of E. coli was applied [8].

Conjugation experiments

The transferability of mcr-1 genes of isolates 803-18 and 844-18 was investigated by broth mate conjugation experiments; the sodium azide-resistant strain E. coli J53 Azir served as the recipient. Transconjugants were selected on Luria–Bertani agar plates containing sodium azide (200 mg/L) and a colistin disk (10 µg). Antimicrobial susceptibilities and presence of mcr-1 and β-lactamase genes were tested for selected transconjugants. To further verify the transfer of plasmids, general plasmid content and plasmid size were determined by S1-nuclease restriction and pulsed-field gel electrophoresis (PFGE) as described before [9].

Whole-genome sequencing and downstream bioinformatic analyses

DNA extraction was performed using the DNeasy Blood & Tissue kit (Qiagen) and extracted DNA was quantified using the Qubit dsDNA HS Assay Kit (Invitrogen), both according to the manufacturer’s protocols. Genomic libraries were generated with the NexteraXT kit (Illumina). Whole-genome sequencing (WGS) was carried out using the Illumina HiSeq 1500 (2 × 250 bp; HiSeq Rapid SBS Kit v2) benchtop device in ‘Rapid Run Mode’.

Raw reads were processed using the pipeline QCumber (v 2.1.1), where the FastQC (v 0.11.5), Trimmomatic (v 0.36; options ‘sliding window 4:20’, ‘MINLEN: 50 bp’) and Kraken (v 1.0.0) algorithms were included (https://gitlab.com/RKIBioinformaticsPipelines/QCumber/). The draft de novo reconstruction was done using the SPAdes algorithm (v 3.12.0) with default parameters. In a subsequent filtering step, all contigs < 200 bp were excluded. Using the QUAST algorithm without a reference sequence, the quality of draft genome sequences was investigated [10].

The de novo reconstructed sequences were used to extract multilocus sequence types (MLST; Achtmann scheme) and complex types (CT), based on core genome multilocus sequence typing (cgMLST; 2513 allele targets) by utilizing the SeqSphere+ software (v 6.0.0, Ridom GmbH) as described before [11, 12]. Gene annotation was determined by the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) [13]. To predict plasmid content in silico, the PlasmidFinder web tool (v 2.1) was used [14]. The NCBI blastn database was used to search for known replicon types, in case of contigs carrying a predicted replicon. Further, the SerotypeFinder (v 2.0) and the VirulenceFinder (v 2.0) web tools were used to characterize the isolates [15, 16].

Identifying mcr genes and variants

Using raw reads, the tool ResFinder (v 3.1.0) was used to identify mcr genes [17]. Identified mcr-1-like genes were extracted from the contigs and aligned to a mcr-1.1 reference sequence (gene accession no: NG_050417.1) to calculate a gene-based phylogeny using PhyML (Jukes-Cantor; 500 bootstraps) [4, 18]. Sequences were translated and checked for synonymous and non-synonymous mutations using the Geneious Prime software (v 2020.0.5). To verify identified non-synonymous mutations, primers were designed (Mcr-1a FWD 5′-CAGTATGGGATTGCGCAATGA-3′, Mcr-1a REV 5′-GGGCATTTTGGAGCATGGTC-3′; product size 482 bp, Tm = 59 °C) to perform Sanger sequencing after PCR amplification. The resulting mcr-1-like gene sequences were submitted to NCBI (National Center for Biotechnology Information)/NLM (National Library of Medicine) to determine novel allele numbers (https://www.ncbi.nlm.nih.gov/pathogens/submit-beta-lactamase/) as it has been proposed [19]. Contigs, on which the mcr-1-like genes were located, were investigated by BLAST for known plasmid origins of replication (as of December 2019; https://blast.ncbi.nlm.nih.gov/Blast.cgi).

Quality assurance

To ensure pure cultures and to phenotypically verify the species, single colonies were repeatedly cultivated on different media (Müller-Hinton agar with sheep blood and Bile-Chrysoidin-Glycerol agar). Further, automated species identification (VITEK 2 GN) was performed. For DNA extraction, single colonies were used. After sequencing, the Kraken algorithm results, also implemented in the QCumber pipeline, were inspected for potential contaminations [20]. De novo assembled genome sequences were quality checked using QUAST.

Results and discussion

Antibiotic resistance and mcr-1 transferability

Both E. coli isolates 803-18 and 844-18 were resistant to colistin (MIC = 4 mg/L), ampicillin, sulfamethoxazole/trimethoprim, nalidixic acid, ciprofloxacin and tetracycline (Table 1). Isolate 803-18 was additionally resistant to streptomycin, and isolate 844-18 was additionally resistant to chloramphenicol. Both isolates remained fully susceptible to cephalosporins and carbapenems (Table 2).

Table 1 Typing results and gene detections of the E. coli strains 803-18 and 844-18
Table 2 Antibiotic susceptibilities of mcr-1-like positive donor strains and transconjugants (MICs in mg/L)

The PCR-confirmed mcr-1-like genes in both isolates could be transferred in conjugation experiments. Transconjugant 803-18 Tc1 harbored two plasmids (ca. 33 kb and 90 kb) and showed a colistin MIC of 2 mg/L. Additional resistance to streptomycin and ampicillin was detected; presence of mcr-1-like and β-lactamase gene blaTEM was confirmed by PCR. Transconjugant 844-18 Tc1 was positive for the mcr-1-like gene, showed a colistin MIC of 2 mg/L and harbored one plasmid of ca. 33 kb size. Additional resistance to chloramphenicol, tetracycline and sulfamethoxazole-trimethoprim was detected (Table 2). These resistances might be encoded on smaller plasmids but plasmids smaller than 20 kb were not detectable by S1-PFGE.

General genome features of E. coli isolates 803-18 and 844-18

A total of 1,349,261 raw reads were obtained for E. coli no. 803-18 and 1,700,507 for E. coli no. 844-18. After de novo reconstruction of isolate 803-18, 154 scaffolds (155 contigs) were assembled, with N50: 119,280 bp and L50: 13. On average, the assembled draft genome was covered 84x. The draft genome size was determined as 4.92 Mb, with 50.6% GC content; and 4854 genes, encoding 4516 proteins, were predicted. The draft assembly of isolate 844-18 resulted in 192 scaffolds (193 contigs), with N50: 145,421 bp and L50: 12; with 45 × genome coverage. The determined draft genome size was 5.31 Mb, with 50.6% GC content; and 5228 genes, encoding 4923 proteins, were predicted.

Resistance and virulence gene predictions

ResFinder detected the presence of several resistance genes in isolates 803-18 and 844-18, respectively (Table 1) contributing to resistance to colistin (mcr-1-like), penicillins (blaTEM-1B), sulfonamides (sul1, sul2), trimethoprim (dfrA1, dfrA14-like), aminoglycosides (str-A-like, str-B-like, aadA1), tetracyclines (tetA) and phenicols (catA1-like) (Table 1). These results corresponded to the phenotype of the isolates, which highlights the general applicability of WGS-based data also for antibiotic resistance predictions, as it was discussed before [21].

VirulenceFinder detected genes in both isolates that were associated with fitness or virulence traits (colonization and fitness factors) in E. coli, named iroN, gad, lpfA and iss encoding enterobactin siderophore receptor protein, glutamate decarboxylase, long polar fimbriae and increased serum survival, respectively (Table 1). For isolate 844-18 three further genes were detected: cma, encoding the bacteriocin colicin M, air encoding the adhesin enteroaggregative immunoglobulin repeat protein and its regulator eilA (hilA homolog in Salmonella) [22, 23]. However, virulence genes (e.g. eae and stx) that are associated with a specific pathotype (e.g. EAEC and EHEC) were not detected in the two isolates.

WGS-based typing

The different typing approaches showed that the two isolates were genotypically dissimilar; at core-genome level (cgMLST-analysis) the isolates showed a distance of 2362 alleles to each other. Isolate 803-18 was assigned to phylogenetic group B1, serotype H45, sequence type ST155 and cgMLST-based complex type CT7500; isolate 844-18 was identified as phylogenetic group D, serotype O15:H18, ST69 and CT7508 (Table 1). Phylogenetic group B1 is known to mainly comprise environmental and animal isolates, whereas phylogenetic group D is known to include more (urogenital-) pathogenic E. coli [24]. This result seems to be concordant with MLST, since E. coli-ST155 has been described as sequence type with zoonotic potential and plasmid-mediated spread of antibiotic resistance, whereas E. coli-ST69 was described as a pandemic and pathogenic lineage [25, 26]. The latter is supported by the presence of additional virulence genes in E. coli-ST69 isolate 844-18 that are involved in adherence to epithelial cells and biofilm formation (adhesion AIR and regulator protein EilA), and the fitness factor colicin M, a bacteriocin that kills other sensitive E. coli strains [22, 23]. The typing results of the two isolates, led to the assumption that there is no certain Mcr-1-like producing strain in the hospitals, instead this might be a hint for a potentially community-based influx of mcr-1-like mediated colistin-resistance via different strains into hospitals, as discussed in other studies [27, 28].

Plasmid content

Based on the PlasmidFinder results, for both isolates several plasmids could be predicted; and S1-PFGE analysis confirmed the presence of at least three plasmids in each of the two isolates (Table 1). PlasmidFinder was able to predict more plasmids, e.g. several Col-like plasmids (Table 1). These plasmids of small size could not be seen in S1-PFGE analysis and were not further analyzed in the present study.

Blast analyses of the scaffolds carrying the mcr-1-like genes predicted their location on IncX4 plasmids, with high similarity (> 99%) to mcr-1 of an IncX4 plasmid of 33 kb size (GenBank accession: CP042970.1) of an E. coli isolate from raw milk cheese in Egypt. For our isolates, the IncX4 plasmid could be reconstructed with two scaffolds: for isolate 803-18 a 32,744 bp mcr-1-like-positive scaffold and an 820 bp scaffold; for isolate 844-18 a 32,738 bp mcr-1-like-positive scaffold and an 821 bp scaffold. However, in CP042970.1 and in both reconstructed IncX4 plasmids the mcr-1-like gene was not part of the ISApl1 transposon that is known to be associated with mcr-1 dissemination as described previously [29, 30]. Instead both plasmids included the IS6-like element (encoding an IS26 family transposase). We reconstructed a 33 kb ring structure, with 100% coverage and 99.6% pairwise identity compared to plasmid CP042970.1. Furthermore, high identity with further mcr-1 carrying plasmids in the NCBI database was detected (GenBank accession: MF449287.1; MK172815.1). These were from fresh water from Italy (MF449287.1) and human origin from Russia (MK172815.1), also showing > 99% coverage and > 99% pairwise identity with the reconstructed 33 kb plasmid of 803-18 and 844-18. This indicates a worldwide spread of this type of plasmid with colistin resistance gene mcr-1 in E. coli.

Analyses of mcr-1-like genes

Alignment of the extracted mcr-1-like genes of isolates 803-18 and 844-18 and known mcr-1 variants (as of December 2019) to the reference sequence of mcr-1.1 (NG_050417.1) revealed putative point mutations (Fig. 1). These point mutations were confirmed by PCR amplification and Sanger sequencing. Subsequent translation revealed these point mutations were non-synonymous mutations, resulting in amino acid substitutions Met1Thr (isolate 803-18) and Tyr9Cys (isolate 844-18) (Fig. 1B). The substitution Met1Thr in isolate 803-18 was due to the ACG (Thr) codon that has been reported by Hecht et al. for its potential role in non-canonical initiation in E. coli [31]. It is important to note that in mcr-1.26 an ATG (Met) is present immediately after ACG (Thr) and therefore we are uncertain of the actual effect of Met1Thr on the translation initiation of mcr-1.26 in isolate 803-18. This warrants further investigation. However, the conjugation experiment confirmed an increase in colistin MIC of the transconjugant (2 mg/L, Table 2).

Fig. 1
figure1

Relatedness of mcr-1 variants and characteristics of novel identified mcr-1.26 and mcr-1.27. The image visualizes the relatedness of different mcr-1 allele variants, including the two novel ones described in this study (mcr-1.26 and mcr-1.27), as single-gene phylogenetic tree (a). Further, an excerpt of the first 40 bp of mcr-1 genes were displayed and with bold and red letters the novel properties of mcr-1.26 and mcr-1.27 gene sequences are highlighted (b). In c, the first 20 amino acids of translated mcr-1 genes were shown and with bold and red letters the non-synonymous changes of mcr-1.26 and mcr-1.27 are highlighted. Visualization was realized using iTOL (v 5) [32]

Both mcr-1-like sequences were submitted to NCBI/NLM and assigned with two novel mcr-1 allele numbers: mcr-1.26 (isolate 803-18; NCBI Reference Sequence: NG_068217.1; RefSeq CDS region in nucleotide: JAAGSA010000042.1 3574-5196(+); protein accession: WP_034169413.1) and mcr-1.27 (isolate 844-18; NCBI Reference Sequence: NG_068218.1; RefSeq CDS region in nucleotide: JAAGSB010000042.1 27547-29172(−); protein accession: WP_163397051.1). The identification of two novel mcr-variants in hospitals in the same region and within 1 year shows that the spread of plasmid-mediated colistin-resistance seems to rapidly progress and new variants are constantly emerging [28].

Conclusions

Through collections and analysis of colistin-resistant E. coli from clinical samples two novel mcr-1 variants were identified, named mcr-1.26 and mcr-1.27. The IncX4 plasmids that carried these mcr-1 variants were 99.6% identical to previously described plasmids in E. coli from livestock and food samples. This raises the possibility that there might be a ‘plasmid reservoir’ outside hospital environments. However, the likelihood of an established plasmid clone circulating in the hospital can also not be excluded because both mcr-1 variants were identified on the widely disseminated Incx4 plasmids that are known for harboring mcr-1 genes. Further, these plasmids were found in two different E. coli isolates (ST155 and ST69) with the latter being described as one pandemic lineage circulating in hospitals. Future genome-based surveillance studies of large scale would help elucidating putatively plasmid-associated transmissions of mcr-1.

Availability of data and materials

Raw reads, as well as de novo assembled draft genome sequences of the sequenced E. coli isolates of this study (n = 2) were submitted to GenBank and the Sequence Read Archive database of the National Center for Biotechnology Information (NCBI) and are available under BioProject accession PRJNA605141 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA605141). The novel variants mcr-1.26 and mcr-1.27 were available under BioProject accession PRJNA313047 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA313047), with NCBI Reference Sequence: NG_068217.1 (mcr-1.26) and NG_068218.1 (mcr-1.27).

Abbreviations

CDS:

Coding sequence

cgMLST:

Core genome multilocus sequence typing

CT:

Complex type

ECOFFs:

Epidemiological cut-off values

PFGE:

Pulsed-field gel electrophoresis

SNP:

Single nucleotide polymorphism

ST:

Sequence type

WGS:

Whole-genome sequencing

References

  1. 1.

    Cui X, Zhang H, Du H. Carbapenemases in Enterobacteriaceae: detection and antimicrobial therapy. Front Microbiol. 2019;10:1823. https://doi.org/10.3389/fmicb.2019.01823.

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Falagas ME, Rafailidis PI, Matthaiou DK. Resistance to polymyxins: mechanisms, frequency and treatment options. Drug Resist Updates. 2010;13(4):132–8.

    CAS  Article  Google Scholar 

  3. 3.

    Halaby T, Al Naiemi N, Kluytmans J, van der Palen J, Vandenbroucke-Grauls CMJE. Emergence of colistin resistance in Enterobacteriaceae after the introduction of selective digestive tract decontamination in an intensive care unit. Antimicrob Agents Chemother. 2013;57(7):3224–9.

    CAS  Article  Google Scholar 

  4. 4.

    Liu Y-Y, Wang Y, Walsh TR, Yi L-X, Zhang R, Spencer J, et al. Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. Lancet Infect Dis. 2016;16(2):161–8.

    Article  Google Scholar 

  5. 5.

    Wang C, Feng Y, Liu L, Wei L, Kang M, Zong Z. Identification of novel mobile colistin resistance gene mcr-10. Emerg Microb Infect. 2020;9(1):508–16.

    CAS  Article  Google Scholar 

  6. 6.

    Irrgang A, Roschanski N, Tenhagen BA, Grobbel M, Skladnikiewicz-Ziemer T, Thomas K, et al. Prevalence of mcr-1 in E. coli from Livestock and Food in Germany, 2010–2015. PloS one. 2016;11(7):e0159863.

    Article  Google Scholar 

  7. 7.

    Schweizer C, Bischoff P, Bender J, Kola A, Gastmeier P, Hummel M, et al. Plasmid-Mediated transmission of KPC-2 Carbapenemase in Enterobacteriaceae in critically ill patients. Front Microbiol. 2019;10:276.

    Article  Google Scholar 

  8. 8.

    Clermont O, Bonacorsi S, Bingen E. Rapid and simple determination of the Escherichia coli phylogenetic group. Appl Environ Microbiol. 2000;66(10):4555.

    CAS  Article  Google Scholar 

  9. 9.

    Barton BM, Harding GP, Zuccarelli AJ. A general method for detecting and sizing large plasmids. Anal Biochem. 1995;226(2):235–40.

    CAS  Article  Google Scholar 

  10. 10.

    Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics (Oxford, England). 2013;29(8):1072–5.

    CAS  Article  Google Scholar 

  11. 11.

    Weber RE, Pietsch M, Fruhauf A, Pfeifer Y, Martin M, Luft D, et al. IS26-mediated transfer of bla NDM-1 as the main route of resistance transmission during a polyclonal, multispecies outbreak in a German Hospital. Front Microbiol. 2019;10:2817.

    Article  Google Scholar 

  12. 12.

    Wirth T, Falush D, Lan R, Colles F, Mensa P, Wieler LH, et al. Sex and virulence in Escherichia coli: an evolutionary perspective. Mol Microbiol. 2006;60(5):1136–51.

    CAS  Article  Google Scholar 

  13. 13.

    Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, et al. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res. 2016;44(14):6614–24.

    CAS  Article  Google Scholar 

  14. 14.

    Carattoli A, Zankari E, Garcia-Fernandez A, Voldby Larsen M, Lund O, Villa L, et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother. 2014;58(7):3895–903.

    Article  Google Scholar 

  15. 15.

    Joensen KG, Scheutz F, Lund O, Hasman H, Kaas RS, Nielsen EM, et al. Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J Clin Microbiol. 2014;52(5):1501–10.

    Article  Google Scholar 

  16. 16.

    Joensen KG, Tetzschner AM, Iguchi A, Aarestrup FM, Scheutz F. Rapid and easy in silico serotyping of Escherichia coli isolates by use of whole-genome sequencing data. J Clin Microbiol. 2015;53(8):2410–26.

    CAS  Article  Google Scholar 

  17. 17.

    Zankari E, Hasman H, Cosentino S, Vestergaard M, Rasmussen S, Lund O, et al. Identification of acquired antimicrobial resistance genes. J Antimicrob Chemother. 2012;67(11):2640–4.

    CAS  Article  Google Scholar 

  18. 18.

    Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003;52(5):696–704.

    Article  Google Scholar 

  19. 19.

    Partridge SR, Di Pilato V, Doi Y, Feldgarden M, Haft DH, Klimke W, et al. Proposal for assignment of allele numbers for mobile colistin resistance (mcr) genes. J Antimicrob Chemother. 2018;73(10):2625–30.

    CAS  Article  Google Scholar 

  20. 20.

    Wood DE, Salzberg SL. Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol. 2014;15(3):R46.

    Article  Google Scholar 

  21. 21.

    Hendriksen RS, Bortolaia V, Tate H, Tyson GH, Aarestrup FM, McDermott PF. Using genomics to track global antimicrobial resistance. Front Public Health. 2019;7:242.

    Article  Google Scholar 

  22. 22.

    Sheikh J, Dudley EG, Sui B, Tamboura B, Suleman A, Nataro JP. EilA, a HilA-like regulator in enteroaggregative Escherichia coli. Mol Microbiol. 2006;61(2):338–50.

    CAS  Article  Google Scholar 

  23. 23.

    Braun V, Helbig S, Patzer SI, Pramanik A, Romer C. Import and export of bacterial protein toxins. Int J Med Microbiol. 2015;305(2):238–42.

    CAS  Article  Google Scholar 

  24. 24.

    Abram K, Udaondo Z, Bleker C, Wanchai V, Wassenaar TM, Robeson MS, et al. What can we learn from over 100,000 Escherichia coli genomes? bioRxiv. 2020. https://doi.org/10.1101/708131.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Skurnik D, Clermont O, Guillard T, Launay A, Danilchanka O, Pons S, et al. Emergence of antimicrobial-resistant Escherichia coli of animal origin spreading in humans. Mol Biol Evol. 2015;33(4):898–914.

    Article  Google Scholar 

  26. 26.

    Riley LW. Pandemic lineages of extraintestinal pathogenic Escherichia coli. Clin Microbiol Infect. 2014;20(5):380–90.

    CAS  Article  Google Scholar 

  27. 27.

    Terveer EM, Nijhuis RHT, Crobach MJT, Knetsch CW, Veldkamp KE, Gooskens J, et al. Prevalence of colistin resistance gene (mcr-1) containing Enterobacteriaceae in feces of patients attending a tertiary care hospital and detection of a mcr-1 containing, colistin susceptible E. coli. PLoS ONE. 2017;12(6):e0178598.

    Article  Google Scholar 

  28. 28.

    Bourrel AS, Poirel L, Royer G, Darty M, Vuillemin X, Kieffer N, et al. Colistin resistance in Parisian inpatient faecal Escherichia coli as the result of two distinct evolutionary pathways. J Antimicrob Chemother. 2019;74(6):1521–30.

    CAS  Article  Google Scholar 

  29. 29.

    Snesrud E, McGann P, Chandler M. The birth and demise of the ISApl1-mcr-1-ISApl1 composite transposon: the vehicle for transferable colistin resistance. mBio. 2018;9(1):e02381-17.

    Article  Google Scholar 

  30. 30.

    Li R, Xie M, Zhang J, Yang Z, Liu L, Liu X, et al. Genetic characterization of mcr-1-bearing plasmids to depict molecular mechanisms underlying dissemination of the colistin resistance determinant. J Antimicrob Chemother. 2016;72(2):393–401.

    Article  Google Scholar 

  31. 31.

    Hecht A, Glasgow J, Jaschke PR, Bawazer LA, Munson MS, Cochran JR, et al. Measurements of translation initiation from all 64 codons in E. coli. Nucleic Acids Res. 2017;45(7):3615–26.

    CAS  Article  Google Scholar 

  32. 32.

    Letunic I, Bork P. Interactive Tree Of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 2019;47(W1):W256–9.

    CAS  Article  Google Scholar 

Download references

Acknowledgements

We want to thank Kirstin Ganske, Sibylle Müller-Bertling and Angelina Liedtke for excellent technical assistance and Andrea Thürmer and Aleksander Radonic on behalf of the genome sequencing core facility MF2 at the Robert Koch Institute.

Funding

BN was supported by a grant of the German Federal Ministry of Health as part of the GÜCCI project (BMG Grant No. 1504-54401). The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

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WS and YP performed phenotypical characterization, conjugation assays and PFGE analyses. BN and WR performed the WGS data based analyses. BN, WR and YP wrote the manuscript and designed the figures and tables. All authors made a substantial, direct and intellectual contribution to the work, in interpreting results, providing critical feedback and finalizing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Bernd Neumann.

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Neumann, B., Rackwitz, W., Hunfeld, K. et al. Genome sequences of two clinical Escherichia coli isolates harboring the novel colistin-resistance gene variants mcr-1.26 and mcr-1.27. Gut Pathog 12, 40 (2020). https://doi.org/10.1186/s13099-020-00375-4

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Keywords

  • Colistin-resistance
  • mcr-1
  • Escherichia coli
  • IncX4