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Escherichia coli ST131- H 22 as a Foodborne Uropathogen
Cindy M. Liu, Marc Stegger, Maliha Aziz and 14 more
mBio · 2018 · CC BY
Abstract
E. coli ST131 is an important extraintestinal pathogen that can colonize the gastrointestinal tracts of humans and food animals. Here, we combined detection of accessory traits associated with avian adaptation (ColV plasmids) with high-resolution phylogenetics to quantify the portion of human infections caused by ST131 strains of food animal origin. Our results suggest that one ST131 sublineage—ST131- H 22—has become established in poultry populations around the world and that meat may serve as a vehicle for human exposure and infection. ST131- H 22 is just one of many E. coli lineages that may be transmitted from food animals to humans. Additional studies that combine detection of host-associated accessory elements with phylogenetics may allow us to quantify the total fraction of human extraintestinal infections attributable to food animal E. coli strains.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 20, 2026. Paragraph numbers are ours, so an answer can point at one.
INTRODUCTION
Escherichia coli causes millions of extraintestinal infections in the United States each year, including urinary tract infections (UTIs). In contrast to bladder infections, which typically amount to little more than a painful annoyance, invasive UTIs that involve the kidneys and bloodstream can be life-threatening. The emergence of extensively antimicrobial-resistant E. coli strains has increased the hazard posed by these common infections. The potential for food animal E. coli strains to make their way to humans via contaminated meat and to cause UTIs was proposed as early as 1970. Despite early supportive studies, the concept did not gain popularity until more than two decades later, when separate UTI outbreaks in Denmark, Canada, and the United States were postulated to have been caused by foodborne E. coli strains. In subsequent years, many studies have shown that extraintestinal pathogenic E. coli strains routinely colonize food animals and contaminate the food supply. The likely link between foodborne E. coli and human urinary tract infections underscores the public health relevance of use of antibiotics in food animal production, which was recognized by researchers from the very beginning.
Antibiotic use in food animal production, which is well established as contributing to antibiotic resistance in classical foodborne pathogens such as Salmonella and Campylobacter, more recently has been linked to the emergence of antibiotic-resistant colonizing opportunistic pathogens (COPs) such as Staphylococcus aureus and Clostridium difficile in food animals and humans. Since its discovery in the early 2000s, methicillin-resistant S. aureus (MRSA) sequence type 398 (ST398) has become a model for how antibiotic use in food animal production can fuel the emergence of novel COP strains that can spread to humans through occupational exposure and retail meat. Likewise, compelling evidence now links multiple, antimicrobial-resistant substrains of C. difficile ribotype 078 (RT078) to antimicrobial use in food animal production. However, of all the COPs, those from Enterobacteriaceae may threaten human health most, due to their broad host range and frequent exchange of mobile resistance elements. This potential risk was highlighted by the discovery of the colistin resistance gene mcr-1 in multiple E. coli strains from food animals, retail meat, and people.
There is a need to quantify the human disease burden associated with E. coli from food animals. A combination of phylogenetic analysis based on single nucleotide polymorphisms (SNPs) from the E. coli core genome plus information regarding host-adaptive accessory elements could enable investigators to more accurately identify the host origins of isolates and infer directionality of such transmissions.
ColV plasmids have been recognized as a defining trait of avian pathogenic E. coli (APEC). These plasmids are self-transmissible F-type plasmids that harbor numerous traits demonstrated to enhance the virulence and fitness of APEC strains in colonizing and infecting commercial broiler chickens and turkeys. Collectively, ColV plasmids and their virulence genes have been identified in greater than 80% of E. coli isolated from diseased poultry, and they are highly predictive of the APEC pathotype. In contrast, ColV plasmids are rarely found in human clinical E. coli isolates, and we hypothesize that their presence in such isolates indicates evidence of historical zoonotic transmission from poultry to humans.
E. coli ST131 has emerged explosively since the early 2000s to become the most important multidrug-resistant uropathogen in circulation today. High-resolution phylogenetic analyses have identified multiple lineages within ST131, each associated with a specific allele of the type 1 fimbrial adhesin gene (fimH), including the H22 and H27, H30, and H41 lineages. While ST131-H30 is the most prevalent and extensively resistant of these ST131 lineages, all four are important etiologic agents for community-acquired UTI. The ST131-H22 lineage is of particular interest because of its ability to colonize poultry, contaminate meat, and carry the mcr-1 and mcr-3 mobile resistance determinants that confer resistance to colistin, the only available active agent against certain extensively resistant Gram-negative pathogens.
Although previous studies suggested that food is not an important reservoir of E. coli ST131, these studies focused on the better-known ST131-H30 lineage, and so those findings may not accurately represent the epidemiology of other ST131 lineages, including ST131-H22. Therefore, to evaluate food as a potential source of UTI caused by E. coli ST131-H22, we collected E. coli isolates from human extraintestinal infections and retail meat products in a small, geographically isolated American city over the course of 1 year and then compared the two E. coli populations by using a unique combination of high-resolution phylogenetic analyses and ColV plasmid interrogation.
Prevalence of E. coli ST131 among meat and human clinical isolates.
During the 12-month study period, E. coli was recovered from 72.4% of the 1,735 positive clinical urine and blood cultures and from 81.7% of the 2,460 meat products. In total, 1,923 meat isolates and 1,188 human clinical isolates were sequenced successfully and were assigned to 443 E. coli STs. Of the 443 STs, 247 STs included only meat isolates (785 [40.8%] of meat isolates), 120 STs included only clinical isolates (403 [33.9%] of human clinical isolates), and 76 STs included both meat and clinical isolates (1,138 [59.2%] of meat isolates and 785 [66.1%] of clinical isolates). ST131 was detected among both meat and human clinical isolates, and it was the single most common ST among the clinical E. coli isolates (182/1,188 [15.3%]) and 13th among meat isolates (25/1,923 [1.3%]).
Phylogenetic relatedness of E. coli ST131 isolates from meat and human clinical specimens.
The genetic relationships between E. coli ST131 isolates from meat and human clinical specimens were examined using a core genome SNP-based phylogenetic analysis. This total ST131 population exhibited four major lineages that corresponded to the four major fimH alleles of ST131, i.e., fimH22, fimH27, fimH30, and fimH41. One of these lineages, ST131-H22, included nearly all of the ST131 meat isolates (24/25 [96%]), plus 24 (13%) of the ST131 human clinical isolates (Fig. 1A).
Patient demographics and clinical presentation.
Patient demographics varied significantly by ST131 lineage. Specifically, compared to patients with an ST131-H30 clinical isolate (n = 125), patients with an ST131-H22 clinical isolate (n = 24) had a significantly lower median age (47 years, with interquartile range [IQR] of 37, versus 65 years and an IQR of 33: P = 0.008) and a higher female proportion (87.5% versus 76.0%; P = 0.29).
In contrast, among the 88 ST131 isolates (48% of 182) for which clinical data were available, clinical presentation did not vary significantly by ST131 lineage. The overall syndrome distribution was 48% asymptomatic bacteriuria, 32% cystitis, 17% pyelonephritis, and 5% urosepsis. This distribution did not differ significantly between the 16 ST131-H22 isolates (67% of 24) and 52 ST131-H30 isolates (42% of 125) for which clinical data were available, i.e., 38% versus 56% asymptomatic bacteriuria, 44% versus 25% cystitis, 19% versus 14% pyelonephritis, and 0% versus 6% urosepsis, respectively.
Avian-associated ColV plasmids and phylogenetic analysis of H22 human clinical isolates.
High-resolution phylogenetic analysis of the ST131-H22 lineage revealed multiple distinct sublineages, two of which showed particularly close phylogenetic similarity between human clinical and meat isolates (Fig. 1B). Ninety-three percent of meat source ST131-H22 isolates were from poultry products; therefore, a potential link between poultry and human clinical isolates was explored further based on the presence of ColV plasmids, because ColV plasmids have been associated with E. coli fitness and virulence in avian hosts and are a defining trait of avian pathogenic E. coli. Plasmid profiling and draft genome comparisons identified a presumptive ColV plasmid in 84% of meat source and 25% of human clinical source ST131-H22 isolates (see Fig. S2 in the supplemental material). In the core genome phylogeny, human clinical isolates carrying ColV plasmids were more closely related to meat isolates carrying ColV plasmids than they were to human clinical isolates without the plasmids, further supporting poultry as a source for the ST131-H22 human clinical isolates (Fig. S2).
ColV plasmids and antimicrobial susceptibility in H22 isolates.
ColV plasmid-positive ST131-H22 isolates were more likely to be multidrug resistant than were ColV plasmid-negative ST131-H22 isolates (Table 1). Furthermore, ColV plasmid-carrying isolates were significantly more likely than ColV plasmid-negative isolates to be resistant to tetracycline and gentamicin, two antibiotics commonly used in U.S. food animal production. Consistent with resistance phenotypes, resistance-conferring genes were also more prevalent among ColV plasmid-positive isolates than among ColV plasmid-negative isolates (Data Set S2).
Natural history of ColV plasmids in ST131-H22.
As noted above, multiple ST131-H22 sublineages carry ColV plasmids. Three independent statistical modeling approaches—including coalescence-based analysis using a strict molecular clock, the GTR substitution model, and the Bayesian Skyline tree prior—suggested that ColV plasmids were acquired by members of the H22 clade in at least six separate genetic events since the mid-1940s (Fig. 2). Three of the six ColV plasmid-positive lineages showed intermingling of human and meat isolates. In contrast, another of these lineages consisted solely of human isolates. This clade’s eight human isolates were all from Europe, where meat products were not sampled in parallel with humans, likely decreasing the opportunity for finding genomic commonality between meat and human isolates.
Analysis of the international collection of ST131-H22 genomes identified 22 additional ColV plasmid-carrying human isolates, indicating that putative poultry-to-human transmission is not limited to Flagstaff, Arizona, but likely is a global phenomenon.
Mobile colistin resistance in ST131-H22.
Two published ST131-H22 isolates were identified previously as carrying mobile colistin resistance (mcr) determinants. Our genomic analysis showed that both carry ColV plasmids. When they were added to the ST131-H22 core genome phylogram, each was assigned to an ST131-H22 clade that included intermingled human and meat isolates (Fig. S3).
DISCUSSION
Our analysis of concurrently collected meat and clinical isolates from Flagstaff showed that ST131-H22 accounted for nearly all of the ST131 meat isolates and for 13% of the ST131 clinical isolates, mostly from patients with cystitis and pyelonephritis. Importantly, whole-genome-based phylogenetic analysis showed that several subsets of ST131-H22 clinical isolates were closely related to meat isolates and carried avian-associated ColV plasmids. Taken together, these findings support that a nonnegligible subset of community-acquired E. coli ST131 UTI episodes in the United States is foodborne.
Coalescence analysis suggests that the ST131-H22 lineage has acquired ColV plasmids at least six times, dating back as far as the 1940s. We assumed, for maximal parsimony, that when most isolates within a phylogenetic clade were ColV positive, a common ancestor to that clade acquired a ColV plasmid in a single genetic event and that any ColV-negative isolates within the clade resulted from plasmid loss events. The consistency of ColV plasmid carriage within some of the corresponding sublineages suggests that such plasmids have remained under selection—possibly in poultry flocks—for decades. If ST131-H22 strains have been circulating in poultry flocks since the 1940s, countless spillover events from poultry to humans could have occurred over the past several decades.
Three of the ColV plasmid-positive sublineages showed intermingling among isolates of human and poultry origin (Fig. 2). One exception was a sublineage composed exclusively of European human isolates. This clade’s polarized source distribution may reflect a bias in EnteroBase toward European human isolates and away from poultry isolates, rather than the establishment of a ColV plasmid-positive ST131-H22 sublineage in humans, although this possibility cannot be excluded. Further sampling of poultry flocks or meat from Europe is needed to investigate this question further.
Our findings support the hypothesis that the ST131-H22 strains that contaminate retail poultry products originate from food animal populations rather than humans. If human source contamination were a significant contributor to ST131 on retail meat products, one would anticipate a more equal distribution of ST131 lineages, including ST131-H30. Alternatively, compared to other ST131 sublineages, ST131-H22 strains may have better survival in the processing plant environment or on poultry products, but this seems less likely.
The evolving story of mobile colistin resistance elements among livestock-associated E. coli strains underscores the importance of our findings. Shortly after the discovery of mcr-1 in isolates from Chinese livestock and people, multiple short reports described the retrospective detection of this element and other variants (mcr-2 and -3) from countries around the world. The first such report was from Denmark, where investigators identified an mcr-1-positive extended-spectrum β-lactamase (ESBL)-producing E. coli strain that had been isolated in 2012 from an imported poultry product. Subsequently, this isolate was discovered to represent the ST131-H22 lineage. Likewise, in 2017, an ESBL-producing Danish bloodstream isolate from 2014 was reported that represened the ST131-H22 lineage and carry mcr-3. The striking diversity of E. coli strains found to carry the mcr genes provides empirical evidence of the associated mobile elements’ promiscuity. The fact that the gene has found its way into ST131-H22—a lineage capable of jumping hosts and causing serious extraintestinal infections in humans—may make it difficult to prevent the further spread of this element from livestock to humans.
Our study had several notable strengths that enabled us to estimate the relatedness of ST131 strains from meat products and clinical specimens. First, we isolated E. coli samples without bias toward any particular genotype or phenotype. Second, we collected concurrent clinical isolates and retail meat samples in the same geographically isolated community. Third, we systematically sampled all available brands of poultry and pork sold in the city, twice monthly, for a full year. Fourth, we analyzed all publicly available ST131 genomes from meat, animal, and clinical isolates via a high-resolution, whole-genome sequence-based approach. Previous studies of foodborne UTI caused by ST131 focused on ST131-H30 or relied on convenience-based sampling, which limited their ability to assess foodborne transmissions of non-H30 ST131 strains. Such studies also were limited by their use of strain typing methods that did not provide the same phylogenetic resolution as does whole-genome sequencing.
Our study also had limitations. First, we did not collect data on the shopping and consumption habits of the source patients for the clinical isolates; this precluded a search for correlations between the strains recovered from particular meat brands versus from the people who purchased those brands, although such correlations likely could be obscured by person-to-person transmission of strains initially from a food source. Second, our analyses of ST131-H22 isolates outside Flagstaff were based on publicly available genome sequences that were not systematically collected, which precluded their use to assess host origins. However, these isolates did provide the temporal diversity necessary to calibrate our molecular clock analyses. Finally, while we have provided strong evidence that a substantial portion of the ST131-H22 strains infecting humans originate from poultry, our study was insufficient to determine definitively whether individual infections arose from direct exposure to contaminated poultry or from human-to-human transmission following the exposure to contaminated poultry. Despite these limitations, this study provides important new insights into the epidemiology of extraintestinal E. coli infections.
In summary, our findings demonstrate the potential for E. coli ST131-H22 to serve as a foodborne uropathogen. ST131 is just one of many STs that are potentially transmitted from food animals to humans. Therefore, while poultry ST131-H22 may represent only a small fraction of human infections, the fraction of human extraintestinal disease due to food animal E. coli may be much higher.
Study design.
We conducted a 12-month study from January to December 2012 to determine the degree of phylogenomic overlap between contemporaneous E. coli ST131 isolates from retail meat products and human clinical specimens in Flagstaff, Arizona. All available brands of chicken, turkey, and pork were sampled every 2 weeks from the nine major grocery chains in Flagstaff. (For chains with multiple outlets, only one store per chain was sampled.) During the same 12-month period, bacterial isolates from all positive urine and blood cultures were collected from Flagstaff Medical Center (the main clinical laboratory servicing northern Arizona). For positive urine and blood cultures from patients residing within Flagstaff (est. population of 65,870, according to the 2010 U.S. Census), medical records were reviewed to determine whether the patient had asymptomatic bacteriuria, cystitis, pyelonephritis, or urosepsis, according to the algorithm in Fig. S1. The Northern Arizona Healthcare IRB approved isolate collection and medical record review (protocol number 573857-4) with a waiver of consent.
E. coli recovery from retail meats and human urine and blood cultures.
E. coli was recovered from meat products in the research laboratory using enrichment methods as described previously. Up to four putative E. coli isolates per sample were identified and purified on HardyCHROM UTI agar (Hardy Diagnostics, Santa Maria, CA, USA). One E. coli isolate per positive sample was selected at random for subsequent analysis.
E. coli urine and blood isolates were recovered in the clinical laboratory using standard techniques. Briefly, urine specimens were collected by midstream clean catch or straight catheterization and cultured on sheep blood and MacConkey agars within 2 h of collection or with refrigeration for up to 24 h. A positive urine culture was defined as ≥104 CFU per ml of urine for clean catch or ≥103 CFU/ml for straight catheterization specimens. Species determination was done using the BD Phoenix instrument (Becton, Dickinson Diagnostic Systems, Sparks, MD, USA).
Antimicrobial susceptibility testing.
The susceptibility of meat isolates to ampicillin, ampicillin-sulbactam, cefazolin, cefoxitin, ceftriaxone, ciprofloxacin, gentamicin, nitrofurantoin, trimethoprim-sulfamethoxazole, and tetracycline was determined by disk diffusion in accordance with procedures and breakpoints recommended by the Clinical and Laboratory Standards Institute. The susceptibility of clinical isolates to the same agents was determined using the BD Phoenix instrument per the manufacturer’s instructions. In the subsequent analysis, intermediate isolates were classified as resistant, and isolates resistant to ≥3 drug classes were classified as multidrug resistant.
Multilocus sequence typing.
As part of a larger study on foodborne Enterobacteriaceae, isolates were subjected to whole-genome sequencing on the Illumina HiSeq system (Illumina, San Diego, CA). All Illumina DNA sequence libraries used in this study are available on the NCBI Sequence Read Archive (accession number PRJNA407956). Resultant sequences were analyzed for multilocus sequence typing (MLST) housekeeping genes by BLAST (v.2.2.25+) at 100% query coverage and nucleotide identity. Results were matched against an MLST reference database to identify ST131 isolates.
fimH typing.
Allelic variants of fimH were identified by assembling the Illumina short-read sequences into contigs by using SPAdes (v.3.5). After quality checks using QUAST (v.2.3), each assembled genome was compared to an in-house fimH allele reference database using BLASTN (v.2.2.25+). fimH allele assignments were made based on 100% query coverage and nucleotide identity.
Whole-genome-based phylogenetic analysis.
To determine the genetic relatedness of E. coli ST131 human clinical and meat isolates, SNPs from the core genome were used to construct a maximum likelihood phylogeny for all ST131 isolates. Briefly, using the NASP pipeline (v.1.0.0), Illumina short-read sequences were aligned to a published ST131 chromosome (strain JJ1887; GenBank accession number CP014316) by using BWA-MEM (v.0.7.12), and SNPs were called using GATK (v.3.5). After removing recombinant regions using Gubbins (v.2.1), the resultant SNP matrices were used to construct phylogenetic trees in PhyML with Smart Model selection (v.3.0), and support values were calculated by bootstrap sampling (n = 100). Reads from ST131-H22 isolates were aligned to a published ST131-H22 chromosome (strain SaT040; GenBank accession number CP014495) and were analyzed as described above.
ColV plasmid profiling.
Partially assembled FUTI genomes were compared to a published avian ColV plasmid (A2363 pAPEC-O2-ColV; GenBank accession number NC_007675) using nucleotide-nucleotide BLAST (v.2.2.25+). Hits were determined with a ≥ 90% cutoff for similarity and ≥95% length coverage with a maximum gap size of 5 and a maximum of 2 gaps. An isolate was considered ColV plasmid positive if it had at least one gene from four or more of the following sets: (i) cvaABC and cvi (the ColV operon), (ii) iroBCDEN (the salmochelin operon), (iii) iucABCD and iutA (the aerobactin operon), (iv) etsABC, (v) ompT and hlyF, and (vi) sitABCD.
Coalescence-based analyses.
To investigate the emergence of ColV plasmids across the ST131-H22 lineage, a temporal analysis was performed on the ST131-H22 isolates from Flagstaff (n = 49) and a global collection of all available ST131-H22 genome sequences, as identified on 1 April 2017 at the EnteroBase repository (n = 91) (http://enterobase.warwick.ac.uk), which included information on collection year, source, and location (Data Set S1). To reduce distortion of the analysis by recombination, an SNP matrix was generated against ST131-H22 reference strain SaT040 as outlined above, followed by purging using Gubbins (v.2.1) to obtain 3,774 core SNPs. Using BEAST (v.1.8.4), the date of emergence of the H22 lineage and its distinctive ColV-positive sublineages was estimated. Briefly, the data were analyzed using the GTR and HKY substitution models with gamma-distributed among-site rate variation, with four rate categories. Both strict and relaxed molecular clock types were evaluated, as were the following coalescent tree priors: constant size, exponential growth, and Bayesian Skyline. The marginal likelihood for each model was estimated by using Tracer (v.1.5) (http://tree.bio.ed.ac.uk/software/tracer/) with Bayes factors. For each analysis, two independent runs of 500 million steps were performed, with sampling every 50,000th generation. The first 10% of each chain was discarded as burn-in. The Markov chain Monte Carlo samples were summarized using the maximum clade credibility topology by using TreeAnnotator v.1.8.4 from the BEAST package.
Phylogenetic placement of colistin-resistant E. coli ST131-H22.
Two ST131-H22 isolates from the Danish national surveillance program at Statens Serum Institut were identified retrospectively as carrying mobile colistin resistance determinants (mcr-1 and mcr-3). Using the above-described methods, these isolates were screened for ColV plasmids and were analyzed for their phylogenetic placement within the global ST131-H22 collection.
Statistical analysis.
Associations between ColV plasmids and antibiotic resistance phenotypes were assessed based on odds ratios (ORs) and a two-tailed Fisher’s exact test. Patient age was compared using a two-tailed t test with unequal variance. Patient sex and the prevalence of each UTI diagnosis were compared across fimH types by using a two-tailed Fisher’s exact test. A P value of <0.05 was considered statistically significant. All statistical analyses were performed in R (v.2.14.2).
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Rodriguez-Siek KE, Giddings CW, Doetkott C, Johnson TJ, Fakhr MK, Nolan LK 2005 Comparison of Escherichia coli isolates implicated in human urinary tract infection and avian colibacillosis. Microbiology 151:2097–2110. doi:.
Not in our library10.1099/mic.0.27499-0
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Kudinha T, Johnson JR, Andrew SD, Kong F, Anderson P, Gilbert GL 2013 Escherichia coli sequence type 131 as a prominent cause of antibiotic resistance among urinary Escherichia coli isolates from reproductive-age women. J Clin Microbiol 51:3270–3276. doi:.
Not in our library10.1128/jcm.01315-13
- 35.
Price LB, Johnson JR, Aziz M, Clabots C, Johnston B, Tchesnokova V, Nordstrom L, Billig M, Chattopadhyay S, Stegger M, Andersen PS, Pearson T, Riddell K, Rogers P, Scholes D, Kahl B, Keim P, Sokurenko EV 2013 The epidemic of extended-spectrum-beta-lactamase-producing Escherichia coli ST131 is driven by a single highly pathogenic subclone, H30-Rx. mBio 4:e00377-13. doi:.
Not in our library10.1128/mbio.00377-13
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Petty NK, Ben Zakour NL, Stanton-Cook M, Skippington E, Totsika M, Forde BM, Phan MD, Gomes Moriel D, Peters KM, Davies M, Rogers BA, Dougan G, Rodriguez-Baño J, Pascual A, Pitout JD, Upton M, Paterson DL, Walsh TR, Schembri MA, Beatson SA 2014 Global dissemination of a multidrug resistant Escherichia coli clone. Proc Natl Acad Sci U S A 111:5694–5699. doi:.
Not in our library10.1073/pnas.1322678111
- 37.
Banerjee R, Johnson JR 2014 A new clone sweeps clean: the enigmatic emergence of Escherichia coli sequence type 131. Antimicrob Agents Chemother 58:4997–5004. doi:.
Not in our library10.1128/aac.02824-14
- 38.
Matsumura Y, Johnson JR, Yamamoto M, Nagao M, Tanaka M, Takakura S, Ichiyama S, Kyoto–Shiga Clinical Microbiology Study Group, Kyoto-Shiga Clinical Microbiology Study Group 2015 CTX-M-27- and CTX-M-14-producing, ciprofloxacin-resistant Escherichia coli of the H30 subclonal group within ST131 drive a Japanese regional ESBL epidemic. J Antimicrob Chemother 70:1639–1649. doi:.
Not in our library10.1093/jac/dkv017
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Ho PL, Chu YP, Lo WU, Chow KH, Law PY, Tse CW, Ng TK, Cheng VC, Que TL 2015 High prevalence of Escherichia coli sequence type 131 among antimicrobial-resistant E. coli isolates from geriatric patients. J Med Microbiol 64:243–247. doi:.
Not in our library10.1099/jmm.0.000012
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Hasman H, Hammerum AM, Hansen F, Hendriksen RS, Olesen B, Agersø Y, Zankari E, Leekitcharoenphon P, Stegger M, Kaas RS, Cavaco LM, Hansen DS, Aarestrup FM, Skov RL 2015 Detection of mcr-1 encoding plasmid-mediated colistin-resistant Escherichia coli isolates from human bloodstream infection and imported chicken meat, Denmark 2015. Euro Surveill 20:pii=30085. doi:.
Not in our library10.2807/1560-7917.es.2015.20.49.30085
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Roer L, Hansen F, Stegger M, Sonksen UW, Hasman H, Hammerum AM 2017 Novel mcr-3 variant, encoding mobile colistin resistance, in an ST131 Escherichia coli isolate from bloodstream infection, Denmark, 2014. Euro Surveill 22:pii=30584. doi:.
Not in our library10.2807/1560-7917.es.2017.22.31.30584
- 42.
Kluytmans JA, Overdevest IT, Willemsen I, Kluytmans-van den Bergh MF, van der Zwaluw K, Heck M, Rijnsburger M, Vandenbroucke-Grauls CM, Savelkoul PH, Johnston BD, Gordon D, Johnson JR 2013 Extended-spectrum beta-lactamase-producing Escherichia coli from retail chicken meat and humans: comparison of strains, plasmids, resistance genes, and virulence factors. Clin Infect Dis 56:478–487. doi:.
Not in our library10.1093/cid/cis929
- 43.
Johnson TJ, Johnson SJ, Nolan LK 2006 Complete DNA sequence of a ColBM plasmid from avian pathogenic Escherichia coli suggests that it evolved from closely related ColV virulence plasmids. J Bacteriol 188:5975–5983. doi:.
Not in our library10.1128/jb.00204-06
- 44.
Food and Drug Administration 2015 Summary report on antimicrobials sold or distributed for use in food-producing animals. FDA Center for Veterinary Medicine, Rockville, MD.
Not in our library
- 45.
Johnson TJ, Logue CM, Wannemuehler Y, Kariyawasam S, Doetkott C, DebRoy C, White DG, Nolan LK 2009 Examination of the source and extended virulence genotypes of Escherichia coli contaminating retail poultry meat. Foodborne Pathog Dis 6:657–667. doi:.
Not in our library10.1089/fpd.2009.0266
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- 47.
Arcilla MS, van Hattem JM, Matamoros S, Melles DC, Penders J, de Jong MD, Schultsz C, COMBAT Consortium 2016 Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16:147–149. doi:.
Not in our library10.1016/s1473-3099(15)00541-1
- 48.
Hu Y, Liu F, Lin IY, Gao GF, Zhu B 2016 Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16:146–147. doi:.
Not in our library10.1016/s1473-3099(15)00533-2
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Liu L, Feng Y, Zhang X, McNally A, Zong Z 2017 A new variant of mcr-3 in an extensively drug-resistant Escherichia coli clinical isolate carrying mcr-1 and blaNDM-5. Antimicrob Agents Chemother 61:e01757-17. doi:.
Not in our library10.1128/aac.01757-17
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Olaitan AO, Chabou S, Okdah L, Morand S, Rolain JM 2016 Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16:147. doi:.
Not in our library10.1016/s1473-3099(15)00540-x
- 51.
Tse H, Yuen KY 2016 Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16:145–146. doi:.
Not in our library10.1016/s1473-3099(15)00532-0
- 52.
Webb HE, Granier SA, Marault M, Millemann Y, den Bakker HC, Nightingale KK, Bugarel M, Ison SA, Scott HM, Loneragan GH 2016 Dissemination of the mcr-1 colistin resistance gene. Lancet Infect Dis 16:144–145. doi:.
Not in our library10.1016/s1473-3099(15)00538-1
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Xavier BB, Lammens C, Ruhal R, Kumar-Singh S, Butaye P, Goossens H, Malhotra-Kumar S 2016 Identification of a novel plasmid-mediated colistin-resistance gene, mcr-2, in Escherichia coli, Belgium, June 2016. Euro Surveill 21. doi:.
Not in our library10.2807/1560-7917.es.2016.21.27.30280
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Kawamura K, Goto K, Nakane K, Arakawa Y 2014 Molecular epidemiology of extended-spectrum beta-lactamases and Escherichia coli isolated from retail foods including chicken meat in Japan. Foodborne Pathog Dis 11:104–110. doi:.
Not in our library10.1089/fpd.2013.1608
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Ghodousi A, Bonura C, Di Noto AM, Mammina C 2015 Extended-spectrum β-lactamase, AmpC-producing, and fluoroquinolone-resistant Escherichia coli in retail broiler chicken meat, Italy. Foodborne Pathog Dis 12:619–625. doi:.
Not in our library10.1089/fpd.2015.1936
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Jakobsen L, Garneau P, Bruant G, Harel J, Olsen SS, Porsbo LJ, Hammerum AM, Frimodt-Møller N 2012 Is Escherichia coli urinary tract infection a zoonosis? Proof of direct link with production animals and meat. Eur J Clin Microbiol Infect Dis 31:1121–1129. doi:.
Not in our library10.1007/s10096-011-1417-5
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- 58.
Johnson JR, Nicolas-Chanoine MH, DebRoy C, Castanheira M, Robicsek A, Hansen G, Weissman S, Urban C, Platell J, Trott D, Zhanel G, Clabots C, Johnston BD, Kuskowski MA, MASTER Investigators 2012 Comparison of Escherichia coli ST131 pulsotypes, by epidemiologic traits, 1967–2009. Emerg Infect Dis 18:598–607. doi:.
Not in our library10.3201/eid1804.111627
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Johnson JR, Davis G, Clabots C, Johnston BD, Porter S, DebRoy C, Pomputius W, Ender PT, Cooperstock M, Slater BS, Banerjee R, Miller S, Kisiela D, Sokurenko EV, Aziz M, Price LB 2016 Household clustering of Escherichia coli sequence type 131 clinical and fecal isolates according to whole genome sequence analysis. Open Forum Infect Dis 3:ofw129.
Not in our library10.1093/ofid/ofw129
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Davis GS, Waits K, Nordstrom L, Weaver B, Aziz M, Gauld L, Grande H, Bigler R, Horwinski J, Porter S, Stegger M, Johnson JR, Liu CM, Price LB 2015 Intermingled Klebsiella pneumoniae populations between retail meats and human urinary tract infections. Clin Infect Dis 61:892–899. doi:.
Not in our library10.1093/cid/civ428
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Clinical and Laboratory Standards Institute 2014 Performance standards for antimicrobial susceptibility testing. CLSI document m100-S24 CLSI, Wayne, PA.
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Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ 1990 Basic local alignment search tool. J Mol Biol 215:403–410. doi:.
Not in our library10.1016/s0022-2836(05)80360-2
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Wirth T, Falush D, Lan R, Colles F, Mensa P, Wieler LH, Karch H, Reeves PR, Maiden MC, Ochman H, Achtman M 2006 Sex and virulence in Escherichia coli: an evolutionary perspective. Mol Microbiol 60:1136–1151. doi:.
Not in our library10.1111/j.1365-2958.2006.05172.x
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Nurk S, Bankevich A, Antipov D, Gurevich AA, Korobeynikov A, Lapidus A, Prjibelski AD, Pyshkin A, Sirotkin A, Sirotkin Y, Stepanauskas R, Clingenpeel SR, Woyke T, McLean JS, Lasken R, Tesler G, Alekseyev MA, Pevzner PA 2013 Assembling single-cell genomes and mini-metagenomes from chimeric MDA products. J Comput Biol 20:714–737. doi:.
Not in our library10.1089/cmb.2013.0084
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Gurevich A, Saveliev V, Vyahhi N, Tesler G 2013 QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi:.
Not in our library10.1093/bioinformatics/btt086
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Sahl JW, Lemmer D, Travis J, Schupp JM, Gillece JD, Aziz M, Driebe EM, Drees KP, Hicks ND, Williamson CHD, Hepp CM, Smith DE, Roe C, Engelthaler DM, Wagner DM, Keim P 2016 NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats. Microb Genom 2:e000074. doi:.
Not in our library10.1099/mgen.0.000074
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Andersen PS, Stegger M, Aziz M, Contente-Cuomo T, Gibbons HS, Keim P, Sokurenko EV, Johnson JR, Price LB 2013 Complete genome sequence of the epidemic and highly virulent CTX-M-15-producing H30-Rx subclone of Escherichia coli ST131. Genome Announc 1(6):e00988-13. doi:.
Not in our library10.1128/genomea.00988-13
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Li H, Durbin R 2009 Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760. doi:.
Not in our library10.1093/bioinformatics/btp324
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McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA 2010 The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20:1297–1303. doi:.
Not in our library10.1101/gr.107524.110
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Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O 2010 New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol 59:307–321. doi:.
Not in our library10.1093/sysbio/syq010
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Johnson TJ, Danzeisen JL, Youmans B, Case K, Llop K, Munoz-Aguayo J, Flores-Figueroa C, Aziz M, Stoesser N, Sokurenko E, Price LB, Johnson JR 2016 Separate F-type plasmids have shaped the evolution of the H30 subclone of Escherichia coli sequence type 131. mSphere 1:e00121-16. doi:.
Not in our library10.1128/msphere.00121-16
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Drummond AJ, Suchard MA, Xie D, Rambaut A 2012 Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol 29:1969–1973. doi:.
Not in our library10.1093/molbev/mss075
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R Core Team 2013 R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria http://www.R-project.org.
Not in our library
Cited by papers we hold 6
- Global trends in antimicrobial use in food-producing animals: 2020 to 2030 · 2023No notice
- Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia · 2021No notice
- Avian Pathogenic Escherichia coli (APEC): An Overview of Virulence and Pathogenesis Factors, Zoonotic Potential, and Control Strategies · 2021No notice
- Genomic analysis of Escherichia coli strains isolated from diseased chicken in the Czech Republic · 2020Not checked
- Global trends in antimicrobial use in aquaculture · 2020No notice
- The EnteroBase user's guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity · 2019No notice
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