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Atypical diarrhoeagenic Escherichia coli in milk related to a large foodborne outbreak

Published online by Cambridge University Press:  11 September 2023

Shouhei Hirose
Affiliation:
Division of Microbiology, National Institute of Health Sciences, Kanagawa, Japan
Kenji Ohya
Affiliation:
Division of Microbiology, National Institute of Health Sciences, Kanagawa, Japan
Tomoya Yoshinari
Affiliation:
Division of Microbiology, National Institute of Health Sciences, Kanagawa, Japan
Takahiro Ohnishi
Affiliation:
Division of Microbiology, National Institute of Health Sciences, Kanagawa, Japan
Katsumi Mizukami
Affiliation:
Toyama City Public Health Center, Toyama, Japan
Tomikatsu Suzuki
Affiliation:
Toyama City Public Health Center, Toyama, Japan
Kenji Takinami
Affiliation:
Toyama City Public Health Center, Toyama, Japan
Takayoshi Suzuki
Affiliation:
Division of Molecular Target and Gene Therapy Products, National Institute of Health Sciences, Kanagawa, Japan
Kenichi Lee
Affiliation:
Department of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan
Sunao Iyoda
Affiliation:
Department of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan
Yukihiro Akeda
Affiliation:
Department of Bacteriology I, National Institute of Infectious Diseases, Tokyo, Japan
Yuichiro Yahata
Affiliation:
Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
Yuuki Tsuchihashi
Affiliation:
Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
Tomimasa Sunagawa
Affiliation:
Center for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Tokyo, Japan
Yukiko Hara-Kudo*
Affiliation:
Division of Microbiology, National Institute of Health Sciences, Kanagawa, Japan
*
Corresponding author: Yukiko Hara-Kudo; Email: [email protected]
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Abstract

A foodborne outbreak related to milk cartons served in school lunches occurred in June 2021, which involved more than 1,800 cases from 25 schools. The major symptoms were abdominal pain, diarrhoea, vomiting, and fever. Although major foodborne toxins and pathogens were not detected, a specific Escherichia coli strain, serotype OUT (OgGp9):H18, was predominantly isolated from milk samples related to the outbreak and most patients tested. The strains from milk and patient stool samples were identified as the same clone by core genome multilocus sequence typing and single-nucleotide polymorphism analysis. The strain was detected in milk samples served for two days related to the foodborne outbreak at a rate of 69.6% and levels of less than ten most probable number/100 mL but not on days unrelated to the outbreak. The acid tolerance of the strain for survival in the stomach was similar to that of enterohaemorrhagic E. coli O157:H7, and the same inserts in the chu gene cluster in the acid fitness island were genetically revealed. The pathogenicity of the strain was not clear; however, it was indicated that the causative pathogen was atypical diarrhoeagenic E. coli OUT (OgGp9):H18.

Type
Original Paper
Creative Commons
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Introduction

A large foodborne outbreak related to milk cartons served in school lunches occurred in June 2021 in Toyama City, Japan. A public health centre in the area first noticed that various schools such as elementary, junior high, and nursery schools reported numerous children with digestive symptoms on 17 June and began the initial epidemiological investigations [Reference Mizukami, Kurosaki and Kusunoki1]. The major symptoms observed in the patients were abdominal pain, diarrhoea, vomiting, and fever. Over 1,800 cases from 25 schools with no fatalities were reported. The common meals among these patients were the lunches served at each school, which included the pasteurised milk carton produced by the T milk factory. Furthermore, schools serving milk cartons produced by other factories did not report any patients. Therefore, the public health centre determined that the milk cartons produced by the T milk factory served in school lunches on 15 and 16 June were the causative food of the outbreak. T milk factory usually produced 6,000–7,000 cartons of 200 mL, 10–20 cartons of 500 mL, and 20 cartons a day from 1,600 to 1,800 kg raw milk by several workers. The raw milk was pasteurised at 128 ℃ for 2 seconds with a plate heat exchanger. The ultra-high-temperature pasteurisation method (120–150 ℃ for 2–3 seconds) is most popular in Japan, and more than 90% of milk in markets was produced by the method.

Previously, outbreaks of foodborne pathogens associated with pasteurised milk in industrialised countries have been reported [Reference de Buyser, Dufour, Maire and Lafarge2, Reference Gruber, Morris, Warren, Kline, Schroeder, Dettinger, Husband, Pollard, Davis, Miller, Weltman, Mattioli, Ray, Tarr and Longenberger3]. The major pathogens were Salmonella, Listeria, enterohaemorrhagic Escherichia coli, and Yersinia enterocolitica. A large outbreak of Staphylococcus aureus enterotoxins in milk products made from dried milk powder produced in a factory occurred in Japan, where more than 13,000 cases have been reported [Reference Asao, Kumeda, Kawai, Shibata, Oda, Haruki, Nakazawa and Kozaki4, Reference Soejima, Nagao, Yano, Yamagata, Kagi and Shinagawa5]. These pathogens and toxins were included as targets for the investigation of the outbreak that occurred in Toyama City. Representative stool samples of 64 patients from 12 schools were tested for major foodborne pathogens as follows: Aeromonas, Bacillus cereus, enterohaemorrhagic E. coli, Clostridium perfringens, Plesiomonas, Salmonella, Shigella, S. aureus, Y. enterocolitica, Yersinia pseudotuberculosis, and norovirus, which were tested by culture methods or PCR assays in the public health centre. At a national research institute, milk samples were tested for foodborne bacterial toxins and foodborne pathogens, leading to symptoms, other than pathogens not tested in the public health centre, such as diarrhoeagenic E. coli, Escherichia albertii, or Listeria monocytogenes. In this study, we reported a microbiological analysis of a large foodborne outbreak, the suspected causative pathogen, and pathogen contamination of the milk cartons served in school lunches.

Methods

Milk samples

Milk carton (200 mL) samples served on 14, 15, and 16 June were stored in freezers at −20 °C in schools for investigations of food poisoning or any other accidents. Milk cartons scheduled to be served at the lunches on 17 June were stored in refrigerators. The cartons were collected by the investigators of Toyama City Public Health Center, and some of them were provided to the National Institute of Health Sciences (NIHS) for microbiological tests. The milk cartons served on 14, 15, 16, and 17 June were manufactured at the T milk factory in Toyama City, Japan, on 11, 14, 15, and 16 June, respectively.

Detection of staphylococcal enterotoxins, B. cereus enterotoxin and the emetic toxin (cereulide), and C. perfringens enterotoxin in milk

Eleven milk samples were initially collected by Toyama City Health Center; two milk samples from two schools served on 14 June suggested no relation with the food poisoning by epidemiological investigation, two milk samples from two schools on 15 June and two milk samples from two schools on 16 June suggested the relations, and five milk samples from one school stored in the schools for lunches on 17 June but not served were tested for investigation on bacterial toxins. Additionally, five milk samples from one school stored for lunches on 17 June, but not served, were tested for the presence of bacterial toxins as described in Supplementary material.

Detection of L. monocytogenes, S. aureus, B. cereus, E. albertii, and diarrhoeagenic E. coli in milk

The milk samples were also tested to investigate other foodborne pathogens. Because the main symptoms of patients were abdominal pain, diarrhoea, vomiting, and fever and the results of the test in Toyama City Public Health Center were referred, L. monocytogenes, S. aureus, B. cereus, E. albertii, and diarrhoeagenic E. coli were targeted to detect by enrichment and isolation as described in Supplementary material. In addition, E. albertii and diarrhoeagenic E. coli were tested by PCR; E. albertii-specific gene [Reference Arai, Ooka, Shibata, Nagai, Tokoi, Nagaoka, Maeda, Tsuchiya, Kojima, Ohya, Ohnishi, Konishi, Ohtsuka and Hara-Kudo6] for E. albertii; stx [Reference Perelle, Dilasser, Grout and Fach7] and eae [Reference Nielsen and Andersen8] for enterohaemorrhagic E. coli (EHEC); heat-labile enterotoxin (LT) [Reference Hara-Kudo, Ohtsuka, Konishi, Yoshida, Iwabuchi, Hiratsuka, Nagai, Kimata, Wada, Yamazaki, Tsuchiya, Mori, Inagaki, Shiraishi and Terajima9] and heat-stable toxin (ST) [Reference Hara-Kudo, Ohtsuka, Konishi, Yoshida, Iwabuchi, Hiratsuka, Nagai, Kimata, Wada, Yamazaki, Tsuchiya, Mori, Inagaki, Shiraishi and Terajima9] for enterotoxigenic E. coli (ETEC); eae [Reference Nielsen and Andersen8] and bfpA [Reference Nara, Cianciarullo, Culler, Bueris, Horton, Menezes, Franzolin, Elias and Piazza10] for enteropathogenic E. coli (EPEC); aggR [Reference Hidaka, Hokyo, Arikawa, Fujihara, Ogasawara, Hase, Hara-Kudo and Nishikawa11] for enteroaggregative E. coli (EAEC); astA [Reference Hidaka, Hokyo, Arikawa, Fujihara, Ogasawara, Hase, Hara-Kudo and Nishikawa11] for enteroaggregative E. coli heat-stable enterotoxin 1 (EAST1)-producing E. coli; and invE (QuickPrimer InvE gene; Takara Co., Shiga, Japan) and ipaH (QuickPrimer IpaH gene; Takara Co.) for enteroinvasive E. coli (EIEC).

Isolation of E. coli from milk

Enrichment cultures of 11 initially collected milk samples in mEC or CT-mEC were streaked onto CHROMagar STEC (CHROMagar Microbiology, Paris, France) and DHL agar (Nissui Pharmaceutical, Tokyo, Japan) and then incubated at 37 °C for 24 h. E. coli colonies suspected to be mauve or blue on CHROMagar STEC and red on DHL agar were tested for biochemical characteristics using TSI (Oxoid, Hampshire, UK) and LIM (Eiken Chemical Co., Ltd., Tokyo, Japan) agars. Representative colonies showing E. coli biochemical characteristics were tested for O and H serotyping and genotyping, as described as follows.

Thirty-one additional milk samples (9, 10, 9, and 3 samples of 14, 15, 16, and 17 June, respectively; 25 g) were cultured in 225 mL CT-mEC at 42 °C, streaked onto CHROMagar STEC and DHL agar, and incubated at 37 °C for 24 h. Representative colonies coincident with E. coli biochemical characteristics were tested for O and H serotyping and genotyping as described as follows.

Isolation of E. coli from patient faeces

Colonies suspected to be E. coli on DHL agar cultured from 64 patient stool samples by Toyama City Public Health Center were tested for biochemical characteristics with TSI and LIM agars. Colonies positive for E. coli biochemical characteristics were tested for O and H serotyping and O genotyping, as described as follows.

O and H serotyping and O genotyping of E. coli

E. coli isolates were tested for E. coli O and H antigen agglutination with antisera according to the manufacturer’s protocols (Denka, Tokyo, Japan) and the Statens Serum Institute (SSI, Copenhagen, Denmark). O genotyping [Reference Iguchi, Iyoda, Seto, Morita-Ishihara, Scheutz and Ohnishi12] was also performed for O serogroup untypable (OUT) E. coli.

Whole-genome sequencing and bioinformatics analysis of E. coli OUT (OgGp9):H18

Whole-genome sequencing of E. coli OUT (OgGp9):H18 using the DNBSEQ-G400 Instrument (MGI Tech, Shenzhen, China) was performed for core genome (cg) multilocus sequence typing (MLST) [Reference Zhou, Alikhan, Mohamed, Fan and Achtman13] and single-nucleotide polymorphism (SNP) analysis [Reference Yoshimura, Kajitani, Gotoh, Katahira, Okuno, Ogura, Hayashi and Itoh14, Reference Kimata, Lee, Watahiki, Isobe, Ohnishi and Iyoda15]. The detailed procedures of each experiment and analysis are described in Supplementary material. The presence of the above virulence factors in the genomes of E. coli OUT (OgGp9):H18 strain isolated from a milk sample (ESC818) and a patient (ESC828) was searched by the virulence factor database [Reference Chen, Yang, Yu, Yao, Sun, Shen and Jin16] and BLASTN program [Reference Camacho, Coulouris, Avagyan, Ma, Papadopoulos, Bealer and Madden17] with default settings.

Acid tolerance of E. coli OUT (OgGp9):H18

E. coli OUT (OgGp9):H18 strains (ESC818 and ESC 828), E. coli K-12 (NBRC 3301; National Institute of Technology and Evaluation Biological Resource Center, Chiba, Japan), and EHEC O157:H7 (EC7, a strain from a patient from an outbreak in Sakai City, 1996) [Reference Michino, Araki, Minami, Takaya, Sakai, Miyazaki, Ono and Yanagawa18] cells were cultured in TSB (Oxoid) at 37 °C for 18 h. The cultures were diluted in buffered peptone water (BPW, pH 7.0; Nissui) to 106 CFU/mL. The bacterial dilutions (0.1 mL) were inoculated into each 0.9 mL BPW at pH 2.5, 3.0, 4.0, and 7.0 prepared with 1 N HCl. BPW-inoculated E. coli strains were incubated at 37 °C for 3 h. After incubation, the cultures were diluted to 10−6 and 10−7 in phosphate-buffered saline (PBS), and the dilutions (0.1 mL) were inoculated onto TSA in duplicates. After culturing at 37 °C for 18 h, colonies were counted to confirm the populations in BPW at various pH. The acid tolerance test was performed in triplicates.

Comparative analysis of acid fitness island

The acid fitness island (AFI) [Reference Hommais, Krin, Coppée, Lacroix, Yeramian, Danchin and Bertin19] in E. coli K-12, E. coli OgGp9:H18 (ESC818), and E. coli O157:H7 (Sakai) genomes was browsed and extracted using Artemis [Reference Carver, Harris, Berriman, Parkhill and McQuillan20]. Alignments between each locus were generated using the BLASTN program [Reference Camacho, Coulouris, Avagyan, Ma, Papadopoulos, Bealer and Madden17] with default settings and then analysed and visualised using Easyfig [Reference Sullivan, Petty and Beatson21].

Freezing resistance of E. coli OUT (OgGp9):H18

E. coli OUT (OgGp9):H18 strain (ESC818) was cultured in TSB at 37 °C for 18 h, and the culture (40 μL) was inoculated into four tubes containing 40 mL milk purchased in Tokyo. To confirm the number of bacteria inoculated, the bacterial culture was diluted to 10−6 and 10−7 in PBS, and then, the dilutions (0.1 mL) were inoculated onto TSA in duplicates. After culturing at 37 °C for 18 h, colonies were counted. The inoculated milk samples were stored in a refrigerator at −28 °C. Immediately after and at one, three, and seven days, the milk inoculated with the strain was thawed. The strain population was determined using the most probable number (MPN) method [22]. In brief, 10 mL, 1 mL, and 0.1 mL of milk were inoculated into 10 mL CT-mEC, in triplicates. After incubation at 42 °C for 22 h, the cultures were streaked on CHROMagar STEC and incubated at 37 °C for 22 h. The colonies suspected to be E. coli were confirmed as OgGp9 by O genotyping. The freezing resistance test was performed in triplicates.

Quantification of E. coli OUT (OgGp9):H18 and bacterial population in milk

Nineteen milk samples that tested positive for E. coli OUT (OgGp9):H18 contamination were quantitatively assessed for the level of contamination by the pathogen using the MPN method described above. The milk samples were also quantitatively tested to measure the bacterial contamination level by the MPN method, using TSB. After incubation at 37 °C for 18 h, the cultures were observed for turbidity and streaked on TSA to determine bacterial growth. Additionally, a real-time PCR was performed targeting 16S rRNA [Reference Fratamico, Bagi, Cray, Narang, Yan, Medina and Liu23] to estimate the bacterial population. E. coli (NBRC3972, NITE Biological Resource Center, National Institute of Technology and Evaluation, Tokyo, Japan) cultures in TSB were serially diluted with PBS to 10−1 to 10−8. DNA was extracted from the dilutions using a QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) for real-time PCR. A portion (0.1 mL) of the 10−6 dilution was plated onto TSA in quintuplets and incubated at 37 °C for 24 h to confirm the number of bacteria. A standard curve was constructed using Ct and CFU values, and the bacterial population in the milk was estimated.

Results

Detection of staphylococcal enterotoxins, B. cereus enterotoxin and the emetic toxin (cereulide), and C. perfringens enterotoxin in milk

Although contamination with staphylococcal enterotoxins, B. cereus enterotoxin, cereulide, and C. perfringens enterotoxin in two milk samples served on 14, 15, 16, and 17 June (two samples each) was tested using commercially available test kits or LC–MS/MS analysis, these toxins were not detected in any of the samples.

Detection of L. monocytogenes, S. aureus, B. cereus, E. albertii, diarrhoeagenic E. coli, and other E. coli in milk

L. monocytogenes, S. aureus, E. albertii, and diarrhoeagenic E. coli were not detected in any of the milk samples that were tested. Cereulide-producing strains of B. cereus were isolated from milk samples initially collected by Toyama City Public Health Center served on 14, 15, and 16 June.

E. coli other than the diarrhoeagenic E. coli described above were isolated from milk samples served on 16 June and not served on 17 June (one sample each), but not from those served on 14 June (two samples), 15 June (two samples), 16 June (one sample), and not served on 17 June (four samples). The O antigens of most E. coli isolates were untypable (OUT) by agglutination testing with anti-serum. The O genotype of OUT strains was typed to OgGp9 composed of O genotypes O17, O44, O73, and O106 [Reference Iguchi, Iyoda, Seto, Morita-Ishihara, Scheutz and Ohnishi12]. Even though OgGp9 strains were tested for anti-O17, O44, O73, and O106 sera, positive reactions for agglutination were not observed. Because the H antigen detected for OgGp9 strains was H18, the serotype of E. coli strain was determined as OUT (OgGp9):H18. E. coli OUT (OgGp9):H18 formed mauve and red colonies on CHROMagar STEC and DHL agars, respectively.

Isolation of E. coli OUT (OgGp9):H18 from milk

E. coli OUT (OgGp9):H18 was isolated from the milk samples served on 15 June (50.0%, 6/12 samples from 12 schools) and 16 June (90.9%, 10/11 samples from 11 schools) (Table 1). Thus, E. coli OUT (OgGp9):H18 was isolated from milk samples served on both days of the foodborne outbreak at a rate of 69.6% (16/23). From the milk samples scheduled but not served on 17 June, E. coli OUT (OgGp9):H18 was isolated (25%; 2/8 samples from three schools) but not from the milk served on 14 June (0%; 0/11 samples from 11 schools).

Table 1. Qualitative analysis of Escherichia coli OUT (OgGp9):H18 contamination in milk carton served at school lunch

a A total of 15 schools (A-O).

Isolation of E. coli OUT (OgGp9):H18 from faeces in patients

Most colonies from 64 patients’ faeces on DHL agar were suspected of E. coli. The colonies coincident with E. coli biochemical characteristics according to the results of TSI and LIM agars were tested for O and H serotyping and genotyping, and E. coli OUT (OgGp9):H18 was isolated from 61 of 64 patients (95%). E. coli O18 and O68 were isolated from the three other patients.

Virulence factors of E. coli OUT (OgGp9):H18 from milk and patients

In the genomes of E. coli OUT (OgGp9):H18 from a milk sample (ESC818) and a patient (ESC828), typical virulence factors such as diarrhoeagenic E. coli that were tested in milk samples; stx and eae for EHEC; ST and LT for ETEC; eae and bfpA for EPEC; aggR for EAEC; astA for EAST1-producing E.coli; and invE and ipaH for EIEC were not found by the BLAST search.

Genetic relationship among E. coli isolates from milk and a patient and other representative E. coli strains

In cgMLST analysis, the genome IDs of all 2,513 loci identified from ESC818 and ESC828 were identical. Additionally, in the cgSNP analysis, only one SNP was detected among the 3,388,601 bp of the core genome in our analysis. These results indicate that isolates from ESC818 and ESC828 were the same clones (Figure 1a,b). Upon conducting the MST analysis based on cgMLST, these isolates were classified into the same branch as uropathogenic E. coli O17:H18 (UMN026) and EAEC O44:H18 (042) (Figure 1a). Similarly, the phylogenetic tree based on cgSNP indicated that these isolates were relatively more related to UPEC (UMN026) and EAEC (042) than other strains (Figure 1b).

Figure 1. Phylogenetic analysis of OUT (OgGp9):H18 isolates and other E. coli strains with serotype and pathotype information. The E. coli isolates, in this case, are shown in red. (a) MST based on cgMLST allelic distance of E. coli isolates and other strains. The colours of the circles indicate E. coli pathotypes. The length between the two circles reflects the genetic distance. (b) Maximum-likelihood phylogenetic tree based on 3,593 SNP sites in the genome backbone of E. coli isolates and other strains. The scale bar indicates the number of substitutions per site. K-12: a model strain of E. coli (non-pathogenic), EHEC: enterohemorrhagic E. coli, UPEC: uropathogenic E. coli, EAEC: enteroaggregative E. coli, ETEC: enterotoxigenic E. coli, EPEC: enteropathogenic E. coli, APEC: avian pathogenic E. coli, NMEC: neonatal meningitis E. coli, AIEC: adherent invasive E. coli.

Acid tolerance of E. coli OUT (OgGp9):H18

The mean populations of E. coli OUT (OgGp9):H18 strains (ESC818 and ESC 828), EHEC O157:H7 (EC7), and E. coli K-12 in BPW at various pH values were 3.9 log CFU/ mL, 4.0 log CFU/ mL, 3.9 log CFU/ mL, and 3.9 log CFU/ mL, respectively. All the strains grew to 6.2–7.0 (ca 6.7) log CFU/mL at pH 7.0 (Figure 2). However, E. coli OUT (OgGp9):H18 strains and EHEC O157:H7 grew slightly at pH 2.5, 3.0, and 4.0. In addition, E. coli K-12 grew slightly at pH 4.0, although the inoculation level was maintained at pH 3.0 and decreased to 2.9 log CFU/ mL at pH 2.5.

Figure 2. Comparison of acid tolerance of E. coli strains at different pH in buffered peptone water. Acid tolerance of ESC818 – E. coli OUT (OgGp9):H18 isolated from milk samples, ESC828 – E. coli OUT (OgGp9):H18 isolated from patient faeces, EHEC O157:H7 – enterohemorrhagic E. coli derived from the foodborne outbreak, and K-12 – a model strain of E. coli (non-pathogenic) at pH 2.5, 3.0, 4.0, and 7.0 in buffered peptone water is shown. Error bars indicate standard deviation (n = 3).

Comparative analysis of AFI

In the OUT (OgGp9):H18 genome, the AFI, a cluster of genes responsible for acid tolerance of widespread E.coli from non-pathogenic K-12 to EHEC, such as gadA glutamate decarboxylase [Reference Hommais, Krin, Coppée, Lacroix, Yeramian, Danchin and Bertin19], was observed (Figure 3). Additionally, the island of the OUT (OgGp9):H18 genome and O-island 140 consist of genes involved in iron uptake, such as chuA [Reference Carter, Louie, Fagerquist, Sultan, Miller and Mandrell24], similar to the O157:H7 genome. O-island 140 was also present in the AFI of the EAEC (042) genome (Figure 3).

Figure 3. Comparative analysis of the acid fitness island (AFI) in K-12, OgGp9:H18 (ESC818), EHEC O157:H7 (Sakai), and EAEC O44:H18 (042) genomes. Sequence alignment of the AFI (between gadA and slp) in K-12, OgGp9:H18 (ESC818), EHEC (Sakai), and EAEC (042) genomes is shown. Vertical boxes between each sequence indicate similarity according to BLASTN (red for matches in the same direction). Blue arrows with annotation are coding sequences except for genes in the O-island 140 (inserted between yhiF and yhiD, yellow arrows).

Freezing resistance of E. coli OUT (OgGp9):H18

The mean populations of E. coli OUT (OgGp9):H18 in the inoculated milk sample were 413 CFU/40 mL. The mean populations of E. coli OUT (OgGp9):H18 were 600, 1,033, 813, and 600 MPN/100 mL after 0, 1, 3, and 7 days of storage, respectively (Table 2). No large decrease was observed during the storage period.

Table 2. Survival of Escherichia coli OUT(OgGp9):H18 in frozen milk

a Mean ± SD.

Quantification of E. coli OUT (OgGp9):H18 and bacterial populations in milk samples

The mean populations of E. coli OUT (OgGp9):H18 in six milk samples from six schools served on 15 June, five samples from five schools served on 16 June, and one sample from one school scheduled but not served on 17 June were 8.4 MPN/100 mL, 7.0 MPN/100 mL, and 9.2 MPN/100 mL, respectively (Table 3). The mean bacterial populations in milk samples on 14, 15, 16, and 17 June were 710 MPN/100 mL, 299 MPN/100 mL, 610 MPN/100 mL, and 19,367 MPN/100 mL, respectively. The mean populations were also estimated by the standard curve analysis of real-time PCR targeting 16S rRNA and were 3.8 log CFU/mL, 3.8 log CFU/mL, 5.0 log CFU/mL, and 5.5 log CFU/mL, respectively.

Table 3. Quantitative analysis of Escherichia coli OUT (OgGp9):H18 contamination in milk carton served in school lunch

a Delivered to schools but not served.

Discussion

After Toyama City Public Health Center detected the foodborne outbreak, patient samples were immediately analysed at the centre. Tests conducted for many major foodborne bacteria and norovirus were negative. A portion of the milk samples was also analysed at NIHS. Any bacterial toxins and pathogenic bacteria investigated in the study, other than B. cereus, were not detected. Although cereulide-producing strains of B. cereus were isolated, it was determined that the strains were not related to food poisoning because they were detected in all tested milk samples, including those irrespective of the outbreak. Notably, E. coli was predominantly isolated from milk cartons that were served in school lunches on the days that caused the foodborne outbreak, but not in those scheduled to be served on other days. The serotype was determined to be OUT (OgGp9):H18. The major symptoms of the patients such as abdominal pain and diarrhoea were consistent with those of diarrhoeagenic E. coli infection. In addition, E. coli was detected in most of the faecal samples of patients. The E. coli OUT (OgGp9):H18 strain from milk was similar to those from patients, as assessed by cgMLST and cgSNP analyses. These results suggest that the intake of E. coli OUT (OgGp9):H18-contaminated milk induced the foodborne outbreak. Additional microbiological tests and epidemiological information indicated that E. coli OUT (OgGp9):H18 was the causative bacterium of this outbreak.

Gastrointestinal pathogens must survive the acidic conditions in the stomach to infect the host; thus, acid tolerance is related to virulence [Reference Merrell and Camilli25]. We observed that the acid tolerance of E. coli OUT (OgGp9):H18 was similar to that of EHEC O157:H7 (Figure 2). The populations of E. coli OUT (OgGp9):H18 strains and EHEC O157:H7 were maintained at 4.7–4.9 log CFU/mL under acidic conditions (pH ranging between 2.5 and 4.0). The acid tolerance of E. coli OUT (OgGp9):H18 strain was genetically analysed. Although genes are responsible for acid tolerance in E. coli such as gad and hde cluster in the AFI and are conserved from the non-pathogenic K-12 to EHEC [Reference Carter, Louie, Fagerquist, Sultan, Miller and Mandrell24], their transcriptomic responses differ at varying pH conditions, resulting in differences in acid tolerances of the E. coli strains [Reference Bergholz, Vanaja and Whittam26, Reference King, Lucchini, Hinton and Gobius27]. In the AFI of the EHEC genome, a chu gene cluster, involved in iron uptake, designated O-island 140, is inserted, implying that O-island 140 contributes to the enhanced acid tolerance of EHEC compared with K-12 [Reference Carter, Louie, Fagerquist, Sultan, Miller and Mandrell24]. Iron is an essential cofactor of several enzymes, and it has been reported that acidic pH enhances the expression of genes involved in iron uptake in K-12 cells [Reference Hayes, Wilks, Sanfilippo, Yohannes, Tate, Jones, Radmacher, BonDurant and Slonczewski28]. In the above transcriptional studies, the upregulation of EHEC-specific genes involved in iron uptake, such as chu genes, was observed in acid-treated EHEC [Reference Bergholz, Vanaja and Whittam26, Reference King, Lucchini, Hinton and Gobius27]. Additionally, the enhanced expression of chu genes along with an acid stress response in EHEC treated with spinach root exudates was observed, but it was not observed in EHEC treated with spinach leaf extracts, which may be attributed to acidic conditions in root exudates [Reference Crozier, Hedley, Morris, Wagstaff, Andrews, Toth, Jackson and Holden29]. Considering the pathogenicity of EHEC, the upregulation of chu genes in O-island 140 along with genes in the AFI in EHEC within human macrophages contributed to the survival of EHEC in macrophages [Reference Poirier, Faucher, Béland, Brousseau, Gannon, Martin, Harel and Daigle30]. These reports imply that chu genes in the O-island 140 play a vital role in acidic conditions and contribute to acid tolerance and pathogenicity of EHEC. In the OUT (OgGp9):H18 genome, O-island 140 was also inserted within the AFI, similar to the EHEC genome, which suggests genetic and phenotypic features such as acid tolerance and pathogenesis of this strain. E. coli OUT (OgGp9):H18 strains can survive in the stomach, similar to EHEC O157:H7, and the ability to survive would be virulent.

The pathogenicity of E. coli OUT (OgGp9):H18 has been analysed vigorously in another study. The strain showed adhesive properties in cultured cells and lethality in mice (Hara-Kudo, Y. et al., personal communication), implying that the strain was pathogenic. The strain was phylogenetically closely related to some strains of EAEC (042) and UPEC (UMN026). Previously, EAEC OgGp9:H18 strains harbouring aggR were also isolated from patients with gastrointestinal symptoms [Reference Kubomura, Misaki, Homma, Matsuo and Okabe31]. However, the E. coli OUT (OgGp9):H18 strains in our study did not possess typical EAEC virulence factors such as aggR, suggesting the presence of other atypical virulence factors in the strains. The results of microbiological tests and epidemiological information indicate that the E. coli OUT (OgGp9):H18 strain was the cause of the outbreak, although the details of the pathogenesis are not clear at present. In another study, the virulence factors of E. coli OUT(OgGp9):H18 have been analysed and will be revealed in the future.

We investigated the proportion of contamination in milk cartons. Although some of the samples were tested in this study, it appeared that 50% of the milk cartons served on 15 June were contaminated with E. coli OUT (OgGp9):H18 (Table 1). In addition, milk cartons served on 16 June and scheduled but not served on 17 June were also contaminated with E. coli OUT (OgGp9):H18 at rates of 90.9% and 25% (Table 1), respectively. It was indicated that contamination of E. coli OUT (OgGp9):H18 to milk occurred on 14 June and continued for the next two days. The lack of cleaning of manufacturing lines or sanitary work could be considered one of the causes of this continuous contamination.

Because of the intake of 200 mL milk carton per patient, the ingestion dose of E. coli OUT (OgGp9):H18 was estimated at 15–18 based on the quantitative data of pathogen contamination in milk by the MPN method. The milk samples were stored at −20 °C for a few days. Freezing might have affected the survival rate of E. coli OUT (OgGp9):H18. Thus, we investigated a decrease in E. coli OUT (OgGp9):H18 populations in milk by freezing, and then, they were minimally affected by freezing for 7 days (Table 2). Therefore, the estimated ingestion dose was reasonable. Usually, infectious doses of EHEC have been estimated at less than 10 to several hundred [Reference Tuttle, Gomez, Doyle, Wells, Zhao, Tauxe and Griffin32, Reference Hara-Kudo and Takatori33] and this trait is attributed to acid tolerance [Reference Merrell and Camilli25]. Since major symptoms were abdominal pain and diarrhoea but not severe such as bloody diarrhoea and haemolytic uraemic syndrome (Suzuki, T. et al., personal communication), the pathogenicity of the E. coli OUT (OgGp9):H18 strains in this study was considered to be lower than that of EHEC. However, it is consistent that the infectious dose of the strains is at the same level as EHEC, because the strains can survive at low pH, as same as EHEC.

In this study, viable bacterial populations in milk samples were analysed using the MPN method, and the populations in milk cartons served on 15 June (mean 299 MPN/100 mL) and 16 June (mean 610 MPN/100 mL) were similar to those on 14 June (mean 710 MPN/100 mL) (Table 3). Large differences were not observed among the viable bacterial populations in milk cartons from 14, 15, and 16 June. This indicated that the pasteurisation of milk served on 15 and 16 June was similar to that on 14 June. In addition, it was shown that the bacterial number of E. coli OUT (OgGp9):H18 strain decreased by 5 log CFU at 65 °C for 1 min, similar to those of E. coli K-12 and EHEC O157:H7, and therefore, heat resistance of the strain was not observed (Hara-Kudo, Y. et al., personal communication). These results indicate that contamination by E. coli OUT(OgGp9):H18 might occur after the pasteurisation steps of milk. For example, a surge tank for pasteurised milk or milk packed in cartons would be contaminated. T factory usually produced 6,000–7,000 cartons (200 mL) a day and actually produced 6,851 cartons on 11 June though 7,840 cartons were produced on 14 June. It might lead to some problems.

After the foodborne outbreak, the T milk factory was inspected to identify critical points, leading to E. coli OUT (OgGp9):H18 contamination, and measures for preventing such recurrence were recommended by the Toyama City Government and the Ministry of Labour, Health, and Welfare. Although the origin of E. coli OUT (OgGp9):H18 and the factors for contamination of milk cartons and continuous contamination were not clarified, it appeared that cross-contamination of pasteurised milk with raw milk by unsanitary handling, insufficient cleaning of raw milk tanks and milk cartons packing equipment, failure on temperature control of pasteurised milk, and structural defect of surge tanks for pasteurised milk were suspected as various aspects with potential risk for bacterial contamination and the growth (Suzuki, T. et al., personal communication). Along with them, the Japan Dairy Industry Association provided technical advice to the T milk factory for improving their manufacturing process.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0950268823001395.

Data availability statement

The draft genomes of E. coli OUT (OgGp9):H18 from milk (ESC818) and a patient (ESC828) were deposited at GenBank/EMBL/DDBJ under BioProject number PRJDB15309.

Acknowledgments

This study was partially supported by a Health and Labour Sciences Research Grant (No. 21KA1006) from the Ministry of Health, Labour, and Welfare, Japan.

Author contribution

Formal analysis: K-i.L., Y.A., K.O., S.H., S.I.; Investigation: K-i.L., T.Y., K.O., S.H., T.S., Y.H.-K.; Writing – review & editing: K-i.L., T.Y., T.S., Y.A., K.M., T.O., K.O., S.H., S.I., T.S., Y.Y., Y.T., Y.H.-K.; Data curation: T.Y., K.M., T.O., K.O., S.H., T.S., Y.H.-K.; Writing – original draft: T.Y., T.O., K.O., S.H., Y.H.-K.; Resources: K.M., T.S.; Conceptualization: T.O., K.O., S.H., Y.H.-K.; Funding acquisition: Y.H.-K.; Project administration: Y.H.-K.

Competing interest

The authors declare none.

Ethical standard

The study design and the protocol for the use of faeces in patients were approved by the Institutional Review Board of the NIHS, Japan (approval no. 355-3).

References

Mizukami, K, Kurosaki, K and Kusunoki, H (2022) A report of poisoning outbreak by school lunch at Toyama city. Food Sanitation Research 72, 1522 (In Japanese).Google Scholar
de Buyser, ML, Dufour, B, Maire, M and Lafarge, V (2001) Implication of milk and milk products in food-borne diseases in France and in different industrialised countries. International Journal of Food Microbiology 67, 117.CrossRefGoogle ScholarPubMed
Gruber, JF, Morris, S, Warren, KA, Kline, KE, Schroeder, B, Dettinger, L, Husband, B, Pollard, K, Davis, C, Miller, J, Weltman, A, Mattioli, M, Ray, L, Tarr, C and Longenberger, AH (2021) Yersinia enterocolitica outbreak associated with pasteurized milk. Foodborne Pathogens and Disease 18, 448454.CrossRefGoogle ScholarPubMed
Asao, T, Kumeda, Y, Kawai, T, Shibata, T, Oda, H, Haruki, K, Nakazawa, H and Kozaki, S (2003) An extensive outbreak of staphylococcal food poisoning due to low-fat milk in Japan: Estimation of enterotoxin a in the incriminated milk and powdered skim milk. Epidemiology & Infection 130, 3340.CrossRefGoogle ScholarPubMed
Soejima, T, Nagao, E, Yano, Y, Yamagata, H, Kagi, H and Shinagawa, K (2007) Risk evaluation for staphylococcal food poisoning in processed milk produced with skim milk powder. International Journal of Food Microbiology 115, 2934.CrossRefGoogle ScholarPubMed
Arai, S, Ooka, T, Shibata, M, Nagai, Y, Tokoi, Y, Nagaoka, H, Maeda, R, Tsuchiya, A, Kojima, Y, Ohya, K, Ohnishi, T, Konishi, N, Ohtsuka, K and Hara-Kudo, Y (2022) Development of a novel real-time polymerase chain reaction assay to detect Escherichia albertii in chicken meat. Foodborne Pathogens and Disease 19, 823829.CrossRefGoogle ScholarPubMed
Perelle, S, Dilasser, F, Grout, J and Fach, P (2004) Detection by 5′-nuclease PCR of Shiga-toxin producing Escherichia coli O26, O55, O91, O103, O111, O113, O145 and O157:H7, associated with the world’s most frequent clinical cases. Molecular and Cellular Probes 18, 185192.CrossRefGoogle ScholarPubMed
Nielsen, EM and Andersen, MT (2003) Detection and characterization of verocytotoxin-producing Escherichia coli by automated 5′ nuclease PCR assay. Journal of Clinical Microbiology 41, 28842893.CrossRefGoogle ScholarPubMed
Hara-Kudo, Y, Ohtsuka, K, Konishi, N, Yoshida, T, Iwabuchi, K, Hiratsuka, T, Nagai, Y, Kimata, K, Wada, H, Yamazaki, T, Tsuchiya, A, Mori, T, Inagaki, S, Shiraishi, S and Terajima, J (2020) An interlaboratory study on the detection methods for enterotoxigenic Escherichia coli in vegetables using enterotoxin gene screening and selective agars for ETEC-specific isolation. International Journal of Food Microbiology 334, 108832.CrossRefGoogle Scholar
Nara, JM, Cianciarullo, AM, Culler, HF, Bueris, V, Horton, DSPQ, Menezes, MA, Franzolin, MR, Elias, WP and Piazza, RMF (2010) Differentiation of typical and atypical enteropathogenic Escherichia coli using colony immunoblot for detection of bundle-forming pilus expression. Journal of Applied Microbiology 109, 3543.CrossRefGoogle ScholarPubMed
Hidaka, A, Hokyo, T, Arikawa, K, Fujihara, S, Ogasawara, J, Hase, A, Hara-Kudo, Y and Nishikawa, Y (2009) Multiplex real-time PCR for exhaustive detection of diarrhoeagenic Escherichia coli. Journal of Applied Microbiology 106, 410420.CrossRefGoogle ScholarPubMed
Iguchi, A, Iyoda, S, Seto, K, Morita-Ishihara, T, Scheutz, F, Ohnishi, M and Pathogenic E. coli Working Group in Japan (2015) Escherichia coli O-genotyping PCR: A comprehensive and practical platform for molecular O Serogrouping. Journal of Clinical Microbiology 53, 24272432.CrossRefGoogle ScholarPubMed
Zhou, Z, Alikhan, NF, Mohamed, K, Fan, Y, The Agama Study Group and Achtman, M (2020) The EnteroBase user’s guide, with case studies on salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity. Genome Research 30, 138152.CrossRefGoogle ScholarPubMed
Yoshimura, D, Kajitani, R, Gotoh, Y, Katahira, K, Okuno, M, Ogura, Y, Hayashi, T and Itoh, T (2019) Evaluation of SNP calling methods for closely related bacterial isolates and a novel high-accuracy pipeline: BactSNP. Microbial Genomics 5, e000261.CrossRefGoogle Scholar
Kimata, K, Lee, K, Watahiki, M, Isobe, J, Ohnishi, M and Iyoda, S (2020) Global distribution of epidemic-related Shiga toxin 2 encoding phages among enteroaggregative Escherichia coli. Scientific Reports 10, 11738.CrossRefGoogle ScholarPubMed
Chen, L, Yang, J, Yu, J, Yao, Z, Sun, L, Shen, Y and Jin, Q (2005) VFDB: A reference database for bacterial virulence factors. Nucleic Acids Research 33, D325D328.CrossRefGoogle ScholarPubMed
Camacho, C, Coulouris, G, Avagyan, V, Ma, N, Papadopoulos, J, Bealer, K and Madden, TL (2009) BLAST+: Architecture and applications. BMC Bioinformatics 10, 421.CrossRefGoogle ScholarPubMed
Michino, H, Araki, K, Minami, S, Takaya, S, Sakai, N, Miyazaki, M, Ono, A and Yanagawa, H (1999) Massive outbreak of Escherichia coli O157:H7 infection in schoolchildren in Sakai City, Japan, associated with consumption of white radish sprouts. American Journal of Epidemiology 150, 787796.CrossRefGoogle ScholarPubMed
Hommais, F, Krin, E, Coppée, JY, Lacroix, C, Yeramian, E, Danchin, A and Bertin, P (2004) GadE (YhiE): A novel activator involved in the response to acid environment in Escherichia coli. Microbiology (Reading, England) 150, 6172.CrossRefGoogle ScholarPubMed
Carver, T, Harris, SR, Berriman, M, Parkhill, J and McQuillan, JA (2012) Artemis: An integrated platform for visualization and analysis of high-throughput sequence-based experimental data. Bioinformatics 28, 464469.CrossRefGoogle ScholarPubMed
Sullivan, MJ, Petty, NK and Beatson, SA (2011) Easyfig: A genome comparison visualizer. Bioinformatics 27, 10091010.CrossRefGoogle ScholarPubMed
U.S. Department of Agriculture, Food Safety and Inspection Service (2014) Most probable number procedure and tables. In Microbiological laboratory guidebook, appendix 2.05. Available at https://www.fsis.usda.gov/sites/default/files/media_file/2021-03/MLG-Appendix-2.pdf (accessed 8 September 2022).Google Scholar
Fratamico, PM, Bagi, LK, Cray, WC Jr, Narang, N, Yan, X, Medina, M and Liu, Y (2011) Detection by multiplex real-time polymerase chain reaction assays and isolation of Shiga toxin-producing Escherichia coli serogroups O26, O45, O103, O111, O121, and O145 in ground beef. Foodborne Pathogens and Disease 8, 601607.CrossRefGoogle ScholarPubMed
Carter, MQ, Louie, JW, Fagerquist, CK, Sultan, O, Miller, WG and Mandrell, RE (2012) Evolutionary silence of the acid chaperone protein HdeB in enterohemorrhagic Escherichia coli O157:H7. Applied and Environmental Microbiology 78, 10041014.CrossRefGoogle ScholarPubMed
Merrell, DS and Camilli, A (2002) Acid tolerance of gastrointestinal pathogens. Current Opinion in Microbiology 5, 5155.CrossRefGoogle ScholarPubMed
Bergholz, TM, Vanaja, SK and Whittam, TS (2009) Gene expression induced in Escherichia coli O157:H7 upon exposure to model apple juice. Applied and Environmental Microbiology 75, 35423553.CrossRefGoogle ScholarPubMed
King, T, Lucchini, S, Hinton, JCD and Gobius, K (2010) Transcriptomic analysis of Escherichia coli O157:H7 and K-12 cultures exposed to inorganic and organic acids in stationary phase reveals acidulant- and strain-specific acid tolerance responses. Applied and Environmental Microbiology 76, 65146528.CrossRefGoogle ScholarPubMed
Hayes, ET, Wilks, JC, Sanfilippo, P, Yohannes, E, Tate, DP, Jones, BD, Radmacher, MD, BonDurant, SS and Slonczewski, JL (2006) Oxygen limitation modulates pH regulation of catabolism and hydrogenases, multidrug transporters, and envelope composition in Escherichia coli K-12. BMC Microbiology 6, 89.CrossRefGoogle ScholarPubMed
Crozier, L, Hedley, PE, Morris, J, Wagstaff, C, Andrews, SC, Toth, I, Jackson, RW and Holden, NJ (2016) Whole-transcriptome analysis of Verocytotoxigenic Escherichia coli O157:H7 (Sakai) suggests plant-species-specific metabolic responses on exposure to spinach and lettuce extracts. Frontiers in Microbiology 7, 1088.Google ScholarPubMed
Poirier, K, Faucher, ŚP, Béland, M, Brousseau, R, Gannon, V, Martin, C, Harel, and Daigle, F (2008) Escherichia coli O157:H7 survives within human macrophages: Global gene expression profile and involvement of the Shiga toxins. Infection and Immunity 76, 48144822.CrossRefGoogle ScholarPubMed
Kubomura, A, Misaki, T, Homma, S, Matsuo, C and Okabe, N (2017) Phenotypic and molecular characterization of Enteroaggregative Escherichia coli isolated in Kawasaki, Japan. Japanese Journal of Infectious Diseases 70, 507512.CrossRefGoogle ScholarPubMed
Tuttle, J, Gomez, T, Doyle, MP, Wells, JG, Zhao, T, Tauxe, RV and Griffin, PM (1999) Lessons from a large outbreak of Escherichia coli O157:H7 infections: Insights into the infectious dose and method of widespread contamination of hamburger patties. Epidemiology & Infection 122, 185192.CrossRefGoogle ScholarPubMed
Hara-Kudo, Y and Takatori, K (2011) Contamination level and ingestion dose of foodborne pathogens associated with infections. Epidemiology & Infection 139, 15051510.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Qualitative analysis of Escherichia coli OUT (OgGp9):H18 contamination in milk carton served at school lunch

Figure 1

Figure 1. Phylogenetic analysis of OUT (OgGp9):H18 isolates and other E. coli strains with serotype and pathotype information. The E. coli isolates, in this case, are shown in red. (a) MST based on cgMLST allelic distance of E. coli isolates and other strains. The colours of the circles indicate E. coli pathotypes. The length between the two circles reflects the genetic distance. (b) Maximum-likelihood phylogenetic tree based on 3,593 SNP sites in the genome backbone of E. coli isolates and other strains. The scale bar indicates the number of substitutions per site. K-12: a model strain of E. coli (non-pathogenic), EHEC: enterohemorrhagic E. coli, UPEC: uropathogenic E. coli, EAEC: enteroaggregative E. coli, ETEC: enterotoxigenic E. coli, EPEC: enteropathogenic E. coli, APEC: avian pathogenic E. coli, NMEC: neonatal meningitis E. coli, AIEC: adherent invasive E. coli.

Figure 2

Figure 2. Comparison of acid tolerance of E. coli strains at different pH in buffered peptone water. Acid tolerance of ESC818 – E. coli OUT (OgGp9):H18 isolated from milk samples, ESC828 – E. coli OUT (OgGp9):H18 isolated from patient faeces, EHEC O157:H7 – enterohemorrhagic E. coli derived from the foodborne outbreak, and K-12 – a model strain of E. coli (non-pathogenic) at pH 2.5, 3.0, 4.0, and 7.0 in buffered peptone water is shown. Error bars indicate standard deviation (n = 3).

Figure 3

Figure 3. Comparative analysis of the acid fitness island (AFI) in K-12, OgGp9:H18 (ESC818), EHEC O157:H7 (Sakai), and EAEC O44:H18 (042) genomes. Sequence alignment of the AFI (between gadA and slp) in K-12, OgGp9:H18 (ESC818), EHEC (Sakai), and EAEC (042) genomes is shown. Vertical boxes between each sequence indicate similarity according to BLASTN (red for matches in the same direction). Blue arrows with annotation are coding sequences except for genes in the O-island 140 (inserted between yhiF and yhiD, yellow arrows).

Figure 4

Table 2. Survival of Escherichia coli OUT(OgGp9):H18 in frozen milk

Figure 5

Table 3. Quantitative analysis of Escherichia coli OUT (OgGp9):H18 contamination in milk carton served in school lunch

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