ORIGINAL RESEARCH article

Front. Microbiol., 24 April 2025

Sec. Antimicrobials, Resistance and Chemotherapy

Volume 16 - 2025 | https://doi.org/10.3389/fmicb.2025.1571121

Comparative analysis of virulence-associated genes in ESBL-producing Escherichia coli isolates from bloodstream and urinary tract infections

  • 1. Department of General Medicine, Kyorin University School of Medicine, Tokyo, Japan

  • 2. Department of Traumatology and Critical Care Medicine, Kyorin University School of Medicine, Tokyo, Japan

  • 3. Antimicrobial Resistance Research Center, National Institute of Infectious Disease, Tokyo, Japan

  • 4. Research Center for Drug and Vaccine Development, National Institute of Infectious Diseases, Tokyo, Japan

  • 5. Department of Medical Technology, Faculty of Health Sciences, Kyorin University, Tokyo, Japan

  • 6. Center for Data Science Education and Research, Kyorin University, Tokyo, Japan

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Abstract

The prevalence of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli (E. coli) is a global health concern due to the multidrug antimicrobial resistance in extraintestinal pathogenic E. coli (ExPEC). ExPEC causes severe infections such as bloodstream infections, meningitis, and sepsis. Uropathogenic E. coli (UPEC), a subset of ExPEC, is responsible for urinary tract infections (UTIs), ranging from asymptomatic bacteriuria and cystitis to more severe conditions, such as pyelonephritis, bacteremia, and sepsis (urosepsis). Although ESBL-producing E. coli may have a significant impact on patient outcomes, comparisons of genotype and virulence factors between ESBL-producing and non-ESBL-producing E. coli have not fully elucidated the factors influencing its pathogenicity. Therefore, in the present study, we analyzed the genotypes and virulence-associated genes of ESBL-producing strains isolated from the blood of patients with UTIs to determine the characteristics of ESBL-producing UPEC strains associated with severe infections. Most of the clinical isolates belonged to phylogroup B2, with the exception of three strains from phylogroup D. The MLST was ST131, followed by ST73, ST95, and ST38, which are commonly found in UPEC strains. Intriguingly, ST131 strains were associated with fewer sepsis cases compared to non-ST131 strains (8 of 38 cases by ST131 and 5 of 8 cases by non-ST131 [OR, 0.16; 95% CI, 0.038–0.873; p = 0.031]). In silico analysis of 23 clinical isolates revealed that the genes detected in all strains may play a significant role in the pathogenesis of invasive UTIs. Clustering and gene locus analysis highlighted the genotype-MLST dependence of UPEC-specific virulence-associated genes. ST38-specific strains were atypical, characterized by the absence of several UPEC-specific genes, including pap loci, pathogenicity island marker (malX), and ompT, as well as the presence of genes encoding Ycb fimbriae and a Type 3 secretion system, which are typically found in enteropathogenic E. coli (EPEC). These results suggest that the virulence of clinical isolates causing invasive infections can vary, and that the pathogenicity of UPEC should be considered when analyzing the correlation between MLST and the repertoire of virulence-associated genes.

1 Introduction

Multidrug-resistant extended-spectrum β-lactamase (ESBL)-producing E. coli is often isolated from a variety of extraintestinal infections in humans, including bloodstream infection, lower respiratory tract infection, surgical site infection, meningitis, biliary tract infection (BTI), and urinary tract infection (UTI) (Dunn et al., 2019). In 2017, an estimated 197,400 individuals in the Unites States contracted infections caused by ESBL-producing Enterobacteriaceae, resulting in 9,100 deaths. The annual medical costs associated with these infections were projected to exceed 1 billion dollars (CDC, 2019). ESBL-producing E. coli is widespread in both community and healthcare settings, posing a significant public health threat due to the associated high mortality rate (Sato et al., 2024; Jernigan et al., 2020; Naghavi et al., 2024). While WHO surveillance (WHO, 2021) is ongoing, it is evident that ESBL-producing E. coli serves as both a relevant and representative indicator of the scope and trends in the AMR crisis. Moreover, it significantly contributes to human morbidity and mortality, while imposing a substantial economic burden on healthcare systems (Temkin et al., 2018). Furthermore, the use of carbapenem antibiotics and colistin, which are the last-line treatments for infections caused by ESBL-producing E. coli, has increased significantly in recent years, raising concerns about the possibility of a future lack of effective treatment options.

Uropathogenic E. coli (UPEC) is responsible for approximately 80% of UTIs (Foxman and Brown, 2003; Svanborg and Godaly, 1997), encompassing a diverse range of pathologies, from noninvasive infections such as asymptomatic bacteriuria and cystitis to more invasive UTIs such as pyelonephritis, which may progress to bacteremia and sepsis (urosepsis), potentially leading to life-threatening infections. UPEC produces a range of virulence factors that facilitate colonization of the urinary tract, including fimbriae, iron utilization, serum resistance, evasion of the innate immune response, and various toxins. These genetic factors significantly influence the clinical progression of UTIs. Analysis of virulence-related genes in the genomes of numerous clinical isolates (Abe et al., 2008; Wang et al., 2014; Kuhnert et al., 2000) reveals that the most representative UPEC-specific genes are primarily located within pathogenicity islands (Svanborg and Godaly, 1997; Shah et al., 2019; Terlizzi et al., 2017; Rezatofighi et al., 2021). However, the genes in the pathogenic islands vary through recombination and mobilization. Therefore, the complex pathogenesis of UPEC remains unclear (Rezatofighi et al., 2021).

The pathogenicity of ESBL-producing E. coli is higher than that of non-ESBL-producing E. coli (Lee et al., 2018; Naghavi et al., 2024). While the proportion of ESBL-producing E. coli isolates is increasing in both urinary tract and bloodstream infections (Ilmavirta et al., 2023), E. coli responsible for invasive UTIs remains poorly characterized (Pitout et al., 2005; O’Boyle et al., 2023). Although antibiograms guide antibiotic selection for UTIs, empiric therapy commonly employs penicillin or broad-spectrum cephalosporins with β-lactamase inhibitors, and fluoroquinolones (Edited by the Japanese Association for Infectious Diseases and the Japanese Society for Chemotherapy, 2023; Nelson et al., 2024). However, susceptibilities to these antibiotics are declining (WHO, 2022). In severe cases, cephamycins (e.g., cefmetazole), fosfomycin, or faropenem are considered, with carbapenems as the preferred first-line treatment (Edited by the Japanese Association for Infectious Diseases and the Japanese Society for Chemotherapy, 2023; Nelson et al., 2024).

For developing effective diagnostic and therapeutic strategies for infections caused by E. coli strains producing ESBLs, which are increasingly becoming difficult to treat owing to development of drug resistance, it is crucial to identify the factors associated with disease severity. Therefore, in this study, we aimed to evaluate previously reported representative UPEC specific virulence-associated genes (Johnson and Stell, 2000; Yamamoto et al., 1995) in ESBL-producing E. coli strains from bloodstream infections caused by UTIs, using PCR. In addition, we aimed to identify virulence-associated genes through genome sequencing and in silico analysis of non-ST131 and randomly selected ST131 strains.

2 Materials and methods

2.1 Cases of ESBL-producing Escherichia coli infections and clinical isolates

Between May 2017 and November 2022, ESBL-producing E. coli were prospectively collected from the blood samples as part of routine medical practices of patients visiting the Department of Emergency Medicine and Emergency General Medicine, Kyorin University Hospital. A total of 60 ESBL-producing E. coli strains were obtained and analyzed using bacterial colonies obtained from the first blood agar inoculum (stored at −80°C). Identification of ESBL-producing E. coli and drug susceptibility testing were performed using a BD Phoenix™ system (BD Diagnostics, Franklin Lakes, NJ, United States) with an NMIC/ID-441 panel and the system automatically performs assays, determines the results of MICs (Murata et al., 2023). To assess the ESBL producing-phenotype, the double-disk synergy test (DDST) was performed (CLSI [M100], 31st ed.). The first isolate from each patient was considered the primary strain, and duplicates were excluded. The primary source of infection and genotypes of the bacterial strains are shown in Table 1. After colony formation on blood agar plates from the initial blood inoculation, clinical isolates were stored at −80°C until further analysis.

Table 1

Primary source of infectionTotal (n = 60) (%)B2 (n = 53)D (n = 6)F (n = 1)
Urinary tract infection46 (76.7)4330
Biliary tract infection9 (15.0)711
Others5 (8.3)320

Primary source of infection and genotype of bacterial strains.

In cases where bacteria detected in urine, bile, or ascites cultures matched those identified in blood cultures, the respective organ was identified as the source of infection. In cases where only blood cultures were performed, the organ with apparent infection was considered the primary site. Cases in which the infected organ could not be identified were classified as unexplained were included in others together with gastrointestinal perforation. Data are expressed as number or percent (%) of the strains.

Bacteremia was defined as the detection of bacteria in blood cultures using the BACT/ALERT ®3D (bioMérieux, Marcy-l’Étoile, France). Urine culture results were used solely as the basis for diagnosing UTIs, in conjunction with clinical symptoms. Bacterial detection in urine samples was conducted through routine examination by streaking of 2 μL of urine samples on sheep blood agar plates, followed by incubation at 37°C for 18 h. If the result was positive, colonies that formed on the sheep blood agar were further analyzed for E. coli identification and the ESBL-producing phenotype. Sepsis was determined based on clinical criteria: a suspected or proven focus of infection along with an acute elevation of Sequential Organ Failure Assessment score ≥2 points, which serves as a proxy for organ dysfunction, in accordance with the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock (2016 and 2020).

2.2 Genotyping by PCR and analysis of virulence-associated gene retention

E. coli strains were cultured in Lysogeny Broth (LB) or on LB agar at 37°C. DNA was extracted following the instructions provided with the Wizard® Genomic DNA Purification Kit (Promega, Madison, United States), according to the manufacturer’s instructions. Phylogeny determination was performed according to Clermont’s scheme (Clermont et al., 2013; Clermont et al., 2019). Representative virulence-associated genes (papAH, papGII, papGIII, cnf1, hlyA, kpsMTII, fyuA, iutA, usp. malX, traT, ompT, fimH, and csgA), commonly associated with UPEC, were detected by PCR. PCR was conducted using the primers listed in Table 2. The ST131 genotype was determined using a CicaGeneus® E. coli POT kit (Kanto Chemical Co., Ltd.), according to the manufacturer’s instructions, and negative results were considered non-ST131.

Table 2

Target genePrimer namePrimer sequence (5′-3′)References
fimHfimH-FTCGAGAACGGATAAGCCGTGGAdams-Sapper et al. (2013)
fimH-RGCAGTCACCTGCCCTCCGGTA
csgAcsgA-FACTCTGACTTGACTATTACCDarvishi (2016)
csgA-RAGATGCAGTCTGGTCAAC
papAHpapAH-FTGTTCAGTAATGAAAAAGAGGTTGTThis study
papAH-RTGAGCCGGAGGCTGAATTTT
papGIIpapGII AlleleII-fGGGATGAGCGGGCCTTTGATAdams-Sapper et al. (2013)
papGII AlleleII-rCGGGCCCCCAAGTAACTCG
papGIIIpapGIII-FACGCTGAATGCCACGTAAGAThis study
papGIII-RTTTTGCATGGCTGGTTGTTC
fyuAFyuA fTGATTAACCCCGCGACGGGAAJohnson and Stell (2000)
FyuA rCGCAGTAGGCACGATGTTGTA
iutAAerJ fGGCTGGACATCATGGGAACTGGJohnson and Stell (2000)
AerJ rCGTCGGGAACGGGTAGAATCG
kpsMTIIkpsII-FGCGCATTTGCTGATACTGTTGJohnson and Stell (2000)
kpsII-RCAATGATCGTATCGATGGGTTTTThis study
traTTraT fGGTGTGGTGCGATGAGCACAGJohnson and Stell (2000)
TraT rCACGGTTCAGCCATCCCTGAG
ompTompT_mfTTTGATGCCCCAGATATCTATCGGDesloges et al. (2019)
ompT_mrGGCTTTCCTGATATCCGGCCATG
cnf1cnf1AAGATGGAGTTTCCTATGCAGGAGYamamoto et al. (1995)
cnf2CATTCAGAGTCCTGCCCTCATTATT
hlyAhly1AACAAGGATAAGCACTGTTCTGGCTYamamoto et al. (1995)
hly2ACCATATAAGCGGTCATTCCCGTCA
uspusp-FATGCTACTGTTCCCGAGTAGTGTGTThis study
usp-R(N7)CATCATGTAGTCGGGGCGTAACAATYamamoto et al. (1995)
malXRPAi fGGACATCCTGTTACAGCGCGCAJohnson and Stell (2000)
RPAi rTCGCCACCAATCACAGCCGAAC

PCR primers used in this study.

2.3 Whole-genome sequencing and genotyping: de novo assembly and annotation

Clinical isolates were cultured in LB broth at 37°C for 15 h, and genomic DNA was extracted using the Wizard® HMW DNA Extraction Kit (Promega, Madison, United States), according to the manufacturer’s instructions. Libraries were prepared using the QIAseq FX DNA Library Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. Paired-end sequencing was performed on the DNBSEQ platform. Sequence reads were assembled de novo into contigs using Shovill version 1.1.0.1 Genomic annotation was performed using Prokka version 1.14.6.2 Genomic data for the 23 strains were deposited in GenBank (BioProject ID: PRJDB18240).

2.4 In silico analysis

Phylogroup, MLST, serotype, as well as FimH, and FumC type were analyzed using ClermonTyping,3 MLST version 2.23.0,4 SerotypeFinder 2.0, and CHTyper 1.0 (Center for Genomic Epidemiology5), respectively.

ABRicate version 1.0.16 was used to detect virulence-associated genes, antibiotic-resistance genes, and plasmids using the default parameters. The databased used included E. coli_VF,7 Resfinder (Zankari et al., 2012; Feldgarden et al., 2019), and the National Center for Biotechnology Information (NCBI) AMRFinderPlus (Feldgarden et al., 2019). Protein or DNA sequence searches were performed using the Basic Local Alignment Search Tool (BLAST) at NCBI8 to predict gene function.

2.5 Clustering analysis

Cluster analysis, heatmap generation, and dendrograms construction were performed using Seaborn version 0.12.02 (statistical data visualization9). The reference strain for ESBL-producing ST131 UPEC included EC598 (GenBank accession No. HG941718), CFT073 (GenBank accession No. AE014075.1), UTI89 (GenBank accession No. CP000243), and 536 (GenBank accession No. CP000247). Additionally, genomes of UPEC strains from phylogroups D-38 and D-69, with assembly status from EngteroBase, were also included in the analysis (Supplementary Table S1).

2.6 Statistical analyses

Data were presented as counts and percentages, means with standard deviations (SD), or medians with interquartile ranges (25th–75th percentiles). Numerical and categorical variables were analyzed using the Student’s t-test or Fisher’s exact test. Statistical significance was set at p < 0.05. Odds ratio (OR) with 95% confidence intervals (CI) were also calculated. All statistical analyses were performed using the GraphPad Prism 8 software (GraphPad Software Inc., La Jolla, CA, United States).

3 Results

3.1 Genotypes, antibiotic resistance, and the set of virulence-associated genes of clinical isolates

Among the 60 bloodstream infections caused by ESBL-producing E. coli, 76.7% were UTIs (46 cases), with the remainder attributed to BTIs and gastrointestinal perforations (Table 1). Of the 46 UTI cases, three urine cultures were not examined due to patient conditions, and two were negative, likely due to prior antibiotic use. This study analyzed only clinical isolates from blood samples. Phylogenetic groups are summarized in Table 1. Of the UPEC strains, 43 (93.5%) belonged to phylogroup B2, while the remaining three strains were classified under phylogroup D (Table 1). Urosepsis was observed in 8 of 38 cases infected with ST131 strains and in 5 of 8 cases infected with non-ST131 strains (Table 3). The incidence was significantly lower in patients with ST131 infections compared to those with non-ST131 infections [OR, 0.16; 95% CI, 0.038–0.873; p = 0.031]. All strains were susceptible to imipenem/cilastatin, meropenem, cefmetazole, and latamoxef. On the other hand, approximately 80% of the strains exhibited non-susceptibility (R or I) to fluoroquinolones (Table 4). Resistance rates for ciprofloxacin and levofloxacin were 89.6 and 87.5%, respectively, for ST131 strains, compared to 75 and 50.0%, respectively, for non-ST131 strains.

Table 3

Baseline characteristics of the patientsUTIs totalPhylogroup B2D
ST131Non-ST131
(n = 46)(n = 38)(n = 5)(n = 3)
Male/female15/3114/241/40/3
Age (year)Median (IQR 25-75)84 (72–88)86 (78–89)79 (68–84)59 (57–65)
Min-Max26–9626–9650–9555–71
Underlying diseasesCancer7610
Diabetes mellitus9621
Immunodeficiencya7610
Sepsisb13832

Characters of patients and genotypes of bacterial strains isolated from UTIs.

a

Patients with chronic kidney disease (including patients undergoing dialysis), malnutrition, hypothyroidism, autoimmune diseases, and those receiving immunosuppressive or immunomodulatory agents were classified under immunodeficiency.

b

In accordance with the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3), cases with a Sequential Organ Failure Assessment (SOFA) score of 2 or higher were diagnosed as sepsis.

Table 4

AntibioticsTotal (n = 46)ST131 (n = 38)Non-ST131 (n = 8)
Ampicillin46(100.0%)38(100.0%)8(100.0%)
Piperacillin46(100.0%)38(100.0%)8(100.0%)
Ceftazidime46(100.0%)38(100.0%)8(100.0%)
Cefazolin46(100.0%)38(100.0%)8(100.0%)
Cefepime46(100.0%)38(100.0%)8(100.0%)
Cefmetazole0(0.0%)0(0.0%)0(0.0%)
Cefotaxime46(100.0%)38(100.0%)8(100.0%)
Cefpodoxime proxetil46(100.0%)38(100.0%)8(100.0%)
Cefuroxime46(100.0%)38(100.0%)8(100.0%)
Latamoxef0(0.0%)0(0.0%)0(0.0%)
Aztreonam46(100.0%)38(100.0%)8(100.0%)
Imipenem/cilastatin0(0.0%)0(0.0%)0(0.0%)
Meropenem0(0.0%)0(0.0%)0(0.0%)
Sulbactam/ampicillin35(76.1%)29(75.0%)6(75.0%)
Tazobactam/piperacillin1(2.2%)1(4.2%)0(0.0%)
Amikacin0(0.0%)0(0.0%)0(0.0%)
Gentamicin14(30.4%)11(25.0%)3(37.5%)
Ciprofloxacin39(84.8%)33(89.6%)6(75.0%)
Levofloxacin36(78.3%)32(87.5%)4(50.0%)
Sulfamethoxazole-trimethoprim17(37.0%)13(33.3%)4(50.0%)

Antibiotic susceptibility of clinical isolates.

Data are expressed as number and percent (%) of non-susceptible strains to each antibiotic.

3.2 Virulence-associated genes in clinical isolates analyzed by PCR

Several factors related to colonization, iron acquisition, and serum resistance contribute to UPEC pathogenicity (Terlizzi et al., 2017). We selected key UPEC virulence-associated genes for assessment via PCR (Table 5; Supplementary Table S2). The csgA, fimH, and fyuA genes were detected in all strains. In contrast, malX, usp. and ompT genes were detected in all phylogroup B2 strains but not in phylogroup D strains. Additionally, traT and iutA genes were detected in more than half of the B2 strains, while none of the phylogroup D strains tested positive for these genes. Overall, phylogroup D strains exhibited significantly fewer virulence-associated genes than phylogroup B2 strains (Table 5; Supplementary Table S2). Notably, papAH and papGII or papGIII genes, which are associated with P fimbriae (P pili) and the development of pyelonephritis (Ambite et al., 2019), were absent in all phylogroup D strains.

Table 5

Virulent associated genesPhylogroup B2Phylogroup D (n = 3)Total
(n = 46)
ST131
(n = 38)
Non-ST131
(n = 5)
Type-1 pilifimH385346
Curli fiberscsgA385346
P fimbriaepapAH104014
papGII93014
papGIII110
Iron utilizationfyuA385346
iutA384042
Complement inhibition・immune evasionkpsMTII355343
traT281029
ompT385043
Pathogenicity island markermalX385043
Toxincnf192011
hlyA91010
usp385043

Number of virulent associated genes in clinical isolates analyzed by PCR.

The occurrence of virulence-associated genes among ESBL-producing UPEC isolates from bloodstream infections. The sum of papGII and papGIII positive strains were indicated in the total column.

3.3 Whole-genome analysis and characterization of clinical isolates

Fifteen ST131 strains, randomly selected from 38 identified using the POT kit, were subjected to whole-genome analysis alongside eight non-ST131 strains. This in silico analysis focused on genotype, serotype, FimH and FumC types, resistance genes, and the presence of pathogenic genes (Table 6).

Table 6

StrainPhylo groupMLSTO antigenH antigenfimH typefumC typeCTX-MAgeM/FaDisease
KYE006D38O45H1524261455FPyelonephritis, septic shock, DIC
KYE008B2131O25H430402783FUTI, septic shock
KYE011D38O51H405261471FUTI, septic shock
KYE013B2131O25H430402786MPyelonephritis
KYE016B21,193O75H564142768MUTI, septic shock
KYE019B2131O25H430402764FRenal cyst infection
KYE020D38O50/O2H305261459FPyelonephritis
KYE024B2131O25H430402765FRenal abscess, sepsis
KYE026B2131O25H430401589FUTI
KYE027B2131O25H430401594MUTI
KYE034B295O1H116381495FUTI
KYE035B2131O16H543402780MUTI, septic shock
KYE040B2131O25H430401590FUTI
KYE042B273O25H11224884FUTI, septic shock
KYE047B2131O25H430401576FPyelonephritis
KYE049B2131O25H430401582FPyelonephritis
KYE054B2131O25H430401596FPyelonephritis
KYE056B2131O16H541402788MAcute prostatitis
KYE057B2*bO25H430402787MUTI
KYE059B21,193no-hitH564142779FUTI, sepsis
KYE060B2131O25H430401528FPyelonephritis
KYE062B2131O25H454402789MUTI
KYE064B21,193O75H564142750FPyelonephritis

Characters of the clinical isolates obtained by in silico analysis and each patient data.

a

Acronyms F and M stand for Female and Male, respectively.

b

Single nucleotide substitution (16G → A) was detected in the adk allelic profile of ST131.

Genome analysis confirmed that the MLST results were consistent with the PCR findings, with the exception of KYE057. Although identified as ST131 using a POT kit, KYE057 was determined to belong to the ST131 lineage based on a single nucleotide substitution (16G → A) in the adk gene, and was included in the ST131 group for statistical analysis. Non-ST131 strains were classified as ST95, ST73, or ST1193 in phylogroup B2 and ST38 within phylogroup D. Consistent with previous studies (Pitout et al., 2022), the ST1193 strain exhibited a disruption of lacY due to a frameshift mutation (Supplementary Table S3). Regarding O antigen type, O25 was the most prevalent (14 strains), followed by O16 and O75, all commonly associated with UPEC. The ESBL genotypes were CTX-M27 (11 strains), CTX-M15 (7 strains), CTX-M14 (4 strains), and CTX-M8 (1 strain). Notably, the ST131-O25:H4 H30 pandemic clones were associated with CTX-M15 and CTC-M27, while the three ST38 strains were associated with CTX-M14 (Table 6).

3.4 Virulence-associated genes in clinical isolates analyzed in silico

In silico analysis of virulence genes using ABRicate (Supplementary Table S4) revealed that ST131 clinical isolates, including the UPEC ST131 type strain EC958, carried a significantly fewer number of virulence-associated genes compared to non-ST131 strains (<0.0001; Table 7). Well-known UPEC-specific genes, including ompT, usp. and malX, were detected in all phylogroup B2 strains in both PCR and in silico analyses. However, these genes were absent in the ST38 strains.

Table 7

PhylogroupMLSTMedian (IQR 25-75)Min-Max
B2ST131 (n = 15)192 (190-200)174-207
Non-ST131 (n = 5)220 (219-228)209-233
DNon-ST131 (n = 3)227 (223-234)218-240

Number of virulent associated genes analyzed in silico (n = 23).

Data are expressed as median (IQR 25–75), minimum (Min) and maximum (Max) number of virulence-associated genes detected by ABRicate were indicated. The virulence-associated genes in 536, CFT073, CFT073, UTI89, and EC958 were 261, 234, 257, and 198, respectively. The number of virulence-associated genes was tailed from the numbers of genes indicated in Supplementary Table S4.

Cluster analysis of clinical isolates, including UPEC reference strains, was performed based on the presence of virulence genes, with each clade showing genotype-dependent clustering (Figure 1A). In terms of MLST-specific genes, the ST38 clinical isolates uniquely harbored genes associated with the epa (members of secondary T3SS-epa), esp (EPEC-T3SS secreted protein, T3SS-esp), ycb, and the hlyE (Figure 1B; Supplementary Table S4) genes. Notable, most of the ST131-, ST95-, ST73, and ST1193 specific genes were hypothetical (Figure 1B; Supplementary Table S4).

Figure 1

3.5 Homologs of virulence-associated genes and gene loci and their functional implications

The hypothetical genes identified within MLST-specific genes were analyzed using a BLAST search with amino acid sequences and gene order from the Prokka data. Based on the results from both ABRicate and Prokka, gene homologs or genes with multiple designations were further analyzed and annotated (Supplementary Table S5). Genes within the same operon or functional gene loci were subsequently grouped together (Supplementary Table S6).

Accordingly, T6SS gene members were found upstream and downstream of c3400, present in ST131 and other phylogroup B2 strains (Supplementary Table S7). T6SS is classified into three distinct groups: T6SS-1 to -3, based on their genetic structures. Nucleotide sequence analysis revealed that c3400 encoded tssF and tssG of T6SS-1. Other T6SS-1 gene homologs were consistently found around c3400 genes in other phylogroup B2 strains. Furthermore, the utilization of these homologs appeared to be MLST-dependent (Supplementary Table S7). The presence of T6SS-1 homologs was evalulated using the genomes of seven ST38 strains and 161 ST69 strains isolated from UTIs in EnteroBase (Supplementary Table S1). In contrast to the phylogroup B2 strains, c3400 and associated T6SS-1 homologs were absent in the genomes of ST38 and ST69 strains in EnteroBase (data not shown).

Based on the gene loci (Supplementary Tables S6, S8, S9), clustering analysis was performed, including the four well-known virulence genes (cnf1, ompT, traT, and usp; Supplementary Table S9). The T6SS apparatus requires the construction of at least 13 genes for its assembly (Journet and Cascales, 2016; Navarro-Garcia et al., 2019). As previously reported, tssM was predictably absent in ST131-O25 strains (Cummins et al., 2023) and KYE034 (ST95) (Figure 2; Supplementary Tables S7–S9).

Figure 2

The aec genes were predicted to be members of the T6SS-2 family (Supplementary Table S7). With the exception of ST131, more than two of the T6SS-2 gene homologs were found in all strains, including ST38 (Supplementary Table S7). However, most T6SS-2 genes were lacking in KYE042 and also in CFT073 as shown in the previous data (Journet and Cascales, 2016). Therefore, functional T6SS-2 loci were absent in both ST131 and ST73 strains (Figure 2; Supplementary Tables S7–S9). Similar to T6SS-1 genes, the utilization of T6SS-2 gene homologs appeared to be MSLT dependent (Supplementary Table S7).

P fimbria, associated with pyelonephritis and UTIs (Ambite et al., 2019; Kuehn et al., 1992; Lane and Mobley, 2007), are encoded by 11 pap (pyelonephritis-associated pili) genes (Supplementary Table S6). Whole-genome analysis revealed that none of the pap genes were present in ST38 strains. In several phylogroup B2 strains, the pap operon was disrupted by an IS insertion downstream of papI, and these strains were negative for papAH and papG genes by PCR (Supplementary Tables S2, S8). Of the 38 ST131 isolates, 10 were positive for papAH and papG, suggesting they could likely express functional P fimbriae. This proportion was significantly lower compared to the non-ST131-phylogroup B2 isolates, where 4 out of 5 were positive for these genes (10 of 38; OR, 0.089; 95% CI, 0.0071–0.7031; p = 0.032).

Functional T3SS-esp., the second T3SS-epa, Ycb fimbriae genes, and hlyE were found only in the ST38 strains (Figure 2; Table 8; Supplementary Tables S8, S9). ST69, belonging to phylogroup D, is frequently detected in UPEC strains. The presence of these genes was evaluated using the genomes of ST38 strains and ST69 strains (Supplementary Table S1). Accordingly, ycb genes were detected in all ST38 strains but were absent in the ST69 strains examined. In contrast, the second T3SS-epa, T3SS-esp genes, and hlyE were detected in all ST38 strains and in more than 90% of ST69 strains (data not shown).

Table 8

ClassificationGene loci
Gene loci commonly detected in the ESBL-producing UPEC clinical isolatesFimbriaeType I pili
Curli biosynthesis
F9 fimbriae
PpdD pili
T4a pili
E coli common pilus
Iron utilizationEnterobactin
Yersiniabactin
Sit iron/manganese utilization
(Hemin utilization)
MotilityMotility and chemotaxis
Immune evasion(Group 2 capsule)
Phylogroup D-ST38 specific gene or gene lociFimbriaeYcb fimbriae
Secretion system2nd T3SS-epa
T3SS-esp
Gene or gene loci that were not specifically detected in phylogroup D-ST38FimbriaeP fimbriae
Serum resistanceompT
UPEC PI markermalX

Presence and absence of virulence-associated gene or gene loci.

The virulence-associated genes were grouped and indicated as gene loci as per to Supplementary Table S6. The gene loci found in all clinical isolates except for one strain were parenthesized.

Gene loci associated with attachment and colonization (type I pili, curli biosynthesis, F9 fimbriae, PpdD pili, T4a pili, E. coli common pilus), iron acquisition systems (enterobactin, yersiniabactin, and Sit iron/manganese utilization system), as well as motility, chemotaxis, and Group 2 capsules, were present in all strains except KYE013 (Figure 2; Table 8; Supplementary Table S9). Consequently, fewer secretion systems were detected in ST131 strains compared to non-ST131 strains (Table 9).

Table 9

Phylogroup B2Phylogroup D
ST131Non-ST131ST38
Virulence genes and gene lociAverage(Min-Max)Average(Min-Max)Average(Min-Max)
Adhesin (9)6.7(6-7)6.8(6-7)7.3(7-8)
Fe acquisition system (5)4.9(4-5)4.8(4-5)4.0(4-4)
Secretion system (5)0.7(0-2)2.4(1-3)4.0(4-4)
Others (6)2.3(1-3)2.8(2-4)2.3(2-3)

Number of virulence genes gene loci detected in the clinical isolates examined.

Data are expressed as average, and minitfnmum (Min), maximum (Max) number of gene loci consisting of functional gene members.

4 Discussion

The pathogenicity of ESBL-producing E. coli clinical isolates requires further elucidation; however, it remains insufficiently understood. In this study, we analyzed the genotypes and virulence-associated genes of ESBL-producing E. coli, focusing on strains that cause bloodstream infections, particularly those associated with UTIs.

Most clinical isolates were identified as ST131, with some belonging to ST73, ST95, and ST1193 in phylogroup B2. These findings are consistent with previous findings indicating that the most prevalent genotype among ESBL-producing UPEC strains consists of typical extraintestinal pathogenic E. coli (ExPEC) strains responsible for bloodstream infections (Clermont et al., 2013; Manges et al., 2019). ST73 and ST95 (Masui et al., 2022), known as “classic STs,” are highly prevalent in ExPEC, particularly when sample selection does not focus on AMR phenotypes (Gibreel et al., 2012; Yamaji et al., 2018; Fibke et al., 2019; Li et al., 2023). These STs are frequently associated with UTIs and bloodstream infections (Riley, 2014). ST1193, an emerging clone (Johnson et al., 2019), is linked to outbreaks and is imitating ST131 in terms of prevalence (Pitout et al., 2022; Tchesnokova et al., 2019). Although previous antimicrobial treatments may introduce bias, the high resistance rates observed in ST131 strains highlight the need for alternative therapeutic strategies (Table 4). ST38 is among the top 10 human pandemic lineages (Roy Chowdhury et al., 2023); however, it has been poorly investigated, with the exception of comprehensive phylogenomic analyses (Manges et al., 2019).

For the analysis of representative UPEC-specific genes by PCR, primers were designed for the kpsMT, papAH, and papG genes using homologous regions from available genomes (data not shown). The primers toned to be meticulously designed, considering the polymorphisms observed in bacterial surface protein genes. Accordingly, only three genes were detected in all the strains, while nine were not detected in the ST38 strain by PCR (Table 5; Supplementary Table S2). These results were somewhat contradictory, given the involvement of ST38 strains in invasive infections, prompting us to conduct whole-genome and in-silico analyses. The number of virulence-associated genes in ST38 strains was similar to that in the non-ST131 phylogroup B2 strains, and higher than that in the ST131 strains (Table 7; Supplementary Table S4). Further annotation and identification of gene loci to clarify the repertoire of virulence-associated genes highlighted the specificity of ST38 (Figure 2).

papGII has been identified as the only gene associated with invasive infections and severe UTIs (Lane and Mobley, 2007; Biggel et al., 2020). Despite the disruption of the locus in several B2 strains by IS, the P fimbriae gene was detected in all B2 strains. It is possible that some pap genes may have been lost during evolution, or that pap-deficient genes may have been horizontally transmitted in these strains. The ST38 strains were distinguished from the B2 clinical isolates based on the absence of P fimbriae genes and the presence of several EPEC genes (Figure 1B; Supplementary Tables S4, S8). These findings suggest that the ST38 strain, along with B2 strains that have incomplete pap genes, may rely on alternative factors for invasive infection.

The ycb operon has been found in some E. coli strains, but not all, and is present as a hidden system in the nonpathogenic E. coli strain K12 (Korea et al., 2010; Hsiao et al., 2016). The ycb operon plays a critical role in E. coli entry into HCT-8 cells, a human ileocecal epithelial cell line (Hsiao et al., 2016). Further gene function analyses will allow for further elucidation of Ycb expression and function in ST38 strains.

T6SS is a secretion system found in Gram-negative bacteria that is often associated with pathogenic strains and absent in nonpathogenic strains (Navarro-Garcia et al., 2019). Although the structure of the apparatus is conserved, the T6SS effector proteins vary. The T6SS in E. coli plays a role in the toxicity to bacterial and eukaryotic cells (Journet and Cascales, 2016).

Meanwhile, in silico analysis revealed the presence of the T6SS-1 gene locus near c3400 in all phylogroup B2 strains, but not in the ST38 strains (see Supplementary Tables S4, S7, S8). T6SS-1 is linked to enteroaggregative E. coli (EAEC) and avian pathogenic E. coli (Journet and Cascales, 2016), even though it is absent in phylogroup D strains, as observed in avian pathogenic E. coli (Tantoso et al., 2022). Overall, it is likely that several T6SS-1 genes are absent in the trains evaluated in the present study. Previous data have shown that the deletion of T6SS-1 genes in CFT073 do not affect colonization in the bladders and kidneys of CBA/J mice (Lloyd et al., 2009). Further analysis of T6SS expression is needed to understand the biological roles of these gene loci.

The functional T6SS-2 loci were found in all strains except for ST131 and ST73. E. coli T6SS-2 was found in EAEC and linked to phylogroups D to F, but not to B2 (Chen et al., 2021). Consistent with previous studies, T6SS-2 was also detected in ST95 strains (Tantoso et al., 2022). According to Prokka analysis, genes encoding Rhs-family proteins, predicted to be effector proteins, were found upstream of the vgrG gene in ST38 strains (data not shown) (Günther et al., 2022), suggesting the utilization of different effectors in these and other B2 strains. T6SS-2 affects colonization, survival, and invasion (Zhou et al., 2012). Consequently, the absence of the T6SS-2 locus in ST131 may have reduced its invasiveness.

Since the E. coli_VF database contains more virulence genes than the VFDB database, we used the E. coli_VF database for our analysis. The ST131 strains had fewer virulence-associated genes, particularly secretion system genes, compared to the non-ST131 strains (Table 9). ST131 strains are recognized as virulent UPEC clones, and are often isolated from invasive infections (Biggel et al., 2020). In contrast, ST131 isolates showed lower virulence in mouse models than other isolates (Johnson et al., 2012). In the present study, a lower frequency of sepsis cases was observed for ST131 strains, with the secretion system genes—associated with the pathogenicity of EPEC—being less abundant in the most prevalent genotype, ST131. This finding correlates with the number of sepsis cases, even with limited clinical isolates. Although the relationship between the number of virulence genes and disease severity remains unclear (Merino et al., 2020), the number of virulence-associated genes were affected by secretion system genes (Table 9).

The increase in ESBL-producing E. coli can be attributed to the growing difficulty in treating UTIs, which complicates patient management (Foxman and Brown, 2003; Flores-Mireles et al., 2015). In the present study, the repertoires of virulence genes were found to be associated with MLST, with notable differences between ST38 strains and other B2 group strains. ST38 NDM-5-producing E. coli isolates have caused an outbreak in the Czech Republic (Chudejova et al., 2024). Genomic characterization and pathogenicity of clinical ST38 isolates are essential to monitor future trends. Moreover, ST131 strains revealed a lower frequency of virulence-associated genes than the other strains, with fewer secretion system genes. These results corroborate previous findings and suggest that the pathogenicity may vary among ESBL-producing UPEC strains causing invasive infections. To our knowledge, this study is the first to suggest that ST131 strains may exhibit lower pathogenicity than non-ST131 strains, based on the analysis of the number of virulence-associated genes and clinical data. However, the limited number of strains—all collected from the suburbs of Tokyo—necessitates a cautious interpretation of these findings. Future studies employing larger and geographically diverse strains, together with comprehensive clinical data, can definitively assess this relationship. Overall, the diversity in virulence of ESBL-producing UPEC strains causing severe infections highlights the need for further investigations to develop more effective treatment strategies.

Statements

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 in the article/Supplementary material.

Ethics statement

The studies involving humans were approved by Faculty of Medicine Research Ethics Committee, Kyorin University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

MT: Conceptualization, Writing – original draft, Writing – review & editing, Formal analysis, Investigation, Methodology. TH: Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing. TS: Formal analysis, Investigation, Resources, Writing – original draft, Writing – review & editing. YT: Formal analysis, Writing – original draft, Writing – review & editing. LM: Formal analysis, Methodology, Writing – original draft, Writing – review & editing. KKo: Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing. AA: Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. KKi: Methodology, Writing – original draft, Writing – review & editing. SY: Investigation, Methodology, Resources, Writing – original draft, Writing – review & editing. RY: Formal analysis, Investigation, Writing – original draft, Writing – review & editing. TO: Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. TM: Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing, Conceptualization.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by JSPS KAKENHI grant nos. 22K09535 and 24K11640.

Acknowledgments

We thank Prof. T. Sato for the assistance with the statistical analysis in this research.

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.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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.2025.1571121/full#supplementary-material

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Summary

Keywords

ESBL-producing Escherichia coli, uropathogenic Escherichia coli, extraintestinal pathogenic Escherichia coli, virulence-associated genes, urosepsis, bloodstream infections, ST131

Citation

Tanaka M, Hanawa T, Suda T, Tanji Y, Minh LN, Kondo K, Azam AH, Kiga K, Yonetani S, Yashiro R, Ohmori T and Matsuda T (2025) Comparative analysis of virulence-associated genes in ESBL-producing Escherichia coli isolates from bloodstream and urinary tract infections. Front. Microbiol. 16:1571121. doi: 10.3389/fmicb.2025.1571121

Received

05 February 2025

Accepted

03 April 2025

Published

24 April 2025

Volume

16 - 2025

Edited by

Miklos Fuzi, Independent Researcher, Seattle, WA, United States

Reviewed by

Okon Okwong Kenneth, Federal University, Wukari, Nigeria

Mikaeel Young, Baylor University, United States

Saskia Camille Flament Simon, University of Santiago de Compostela, Spain

Updates

Copyright

*Correspondence: Tomoko Hanawa, Takeaki Matsuda,

†These authors have contributed equally to this work

ORCID: Yasunori Tanji, https://orcid.org/0009-0009-7006-3756

Disclaimer

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.

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