O-antigen and virulence profiling of shiga toxin-producing Escherichia coli by a rapid and cost-effective DNA microarray colorimetric method.

Shiga toxin-producing Escherichia coli (STEC) is a leading cause of foodborne illness worldwide. The present study developed the use of DNA microarrays with the ampliPHOX colorimetric method to rapidly detect and genotype STEC strains. A low-density 30-mer oligonucleotide DNA microarray was designed to target O-antigen gene clusters of 11 E. coli serogroups (O26, O45, O91, O103, O104, O111, O113, O121, O128, O145, and O157) that have been associated with the majority of STEC infections. In addition, the DNA microarray targeted 11 virulence genes, encoding adhesins, cytotoxins, proteases, and receptor proteins, which have been implicated in conferring increased ability to cause disease for STEC. Results from the validation experiments demonstrated that this microarray-based colorimetric method allowed for a rapid and accurate genotyping of STEC reference strains from environmental and clinical sources and from distinct geographical locations. Positive hybridization signals were detected only for probes targeting serotype and virulence genes known to be present in the STEC reference strains. Quantification analysis indicated that the mean pixel intensities of the signal for probes targeting O-antigen or virulence genes were at least three times higher when compared to the background. Furthermore, this microarray-based colorimetric method was then employed to genotype a group of E. coli isolates from watershed sediment and animal fecal samples that were collected from an important region for leafy-vegetable production in the central coast of California. The results indicated an accurate identification of O-type and virulence genes in the tested isolates and confirmed that the ampliPHOX colorimetric method with low-density DNA microarrays enabled a fast assessment of the virulence potential of STEC using low-cost reagents and instrumentation.

Introduction

Shiga toxin-producing Escherichia coli (STEC) is a food- and water-borne enteric pathogen known to cause human gastrointestinal illnesses with diverse clinical manifestations, ranging from diarrhea, hemorrhagic colitis, and life-threatening hemolytic uremic syndrome (HUS; Rangel et al., 2005; Gyles, 2007). The varying disease severity in humans has been associated with more than 100 serotypes of STEC (Johnson et al., 1996; Gould et al., 2009; Mathusa et al., 2010). In particular, E. coli O157:H7 is the STEC most-commonly reported in the United States (Brooks et al., 2005; Hoefer et al., 2011), and more than 20 outbreaks due to O157:H7 contamination, occurring between 1995 and 2008, were associated with consumption of produce items that were grown in or near the Salinas Valley of California (Mandrell, 2011). Although the O157 serogroup has been associated frequently with hemorrhagic colitis and HUS (Karmali, 1989; Karmali et al., 2003), the reporting of non-O157 infections by public health laboratories has increased considerably in recent years (Brooks et al., 2005; Gould et al., 2009; Hoefer et al., 2011; Stigi et al., 2012). Epidemiological studies have indicated that six non-O157 serogroups, O26, O45, O103, O111, O121, and O145, have been associated with outbreaks and severe disease in the United States (Johnson et al., 1996; Brooks et al., 2005). Additionally, STECs of serogroups, O91, O104, O113, and O128 have been reported to be significant causes of human infections worldwide (Brooks et al., 2005; Bettelheim, 2007; Gyles, 2007; Mathusa et al., 2010). These findings have led to the proposal that certain non-O157 STEC strains are potentially as virulent as O157:H7 strains (Bettelheim, 2007; Coombes et al., 2011).

The onset of life-threatening disease symptoms caused by STEC has been associated with the production of Shiga toxins (Stx), which are considered the primary virulence determinant in STEC (Karmali et al., 1983; Karmali, 1989). However, epidemiological studies revealed that not all STEC strains that produce Stx are clinically significant. The observed difference in virulence among distinct serotypes has been ascribed to genes encoding virulence factors other than Stx and has been linked to genes on pathogenicity islands, such as the locus for enterocyte and effacement (LEE) and the non-LEE (Bettelheim, 2007; Bolton, 2011; Coombes et al., 2011). In addition to these genomic regions, other chromosomal and plasmid-borne virulence genes, encoding adhesins, cytotoxins, proteases, and receptor proteins, are proposed to also contribute to STEC pathogenesis by allowing these bacterial pathogens to attach to and colonize the human epithelium. Screening for these virulence genes in STEC isolates would facilitate an expanded characterization through the identification of risk factors that could lead potentially to sporadic- and outbreak-related human illness. Thus, the development of rapid and cost–effective genotyping tools is imperative for determining the genetic composition of STEC isolates that may pose a threat to food safety and human health.

In contrast to established culturing methods, which only assess a small number of markers, the use of DNA microarrays as a genotyping method enables the examination of multiple gene targets in a single assay (Call, 2005; Uttamchandani et al., 2009). However, development of sensitive and rapid procedures with cost–effective instrumentation has been challenging with current DNA microarray platforms. Fluorescent microarray methods are commonly used procedures but can be inconsistent and highly variable. These methods also utilize expensive and non-portable scanners for data acquisition and analysis (Call, 2005; Kuck and Taylor, 2008). Thus, improvements in the cost–effectiveness and reliability of procedures are required for routine pathogen surveillance. To implement a simpler, rapid, and inexpensive method for identifying and characterizing pathogenic STEC strains, the present study developed the use of the ampliPHOX colorimetric method, based on light-initiated signal amplification through polymerization (Kuck and Taylor, 2008; Sikes et al., 2008), with a low-density microarray to simultaneously detect multiple STEC serotypes and virulence genes. This microarray-based genotyping method was employed to characterize a collection of STECs, recovered from environmental and clinical sources and from distinct geographical locations.

Materials and Methods

Bacterial strains and growth conditions

The characteristics and sources of the STEC reference strains that were used in this study are described in Table 1. For the isolation of STEC isolates from environmental sources, cloacal bird swabs or 10 g samples of watershed sediment/animal feces were subjected to a non-selective enrichment step in 50 or 90 ml of tryptic soy broth (Beckton Dickinson, Sparks, MD, USA), respectively, at 25°C for 2 h, 42°C for 8 h with shaking, and 4°C until the following morning (Cooley et al., submitted). The enrichments were further screened for stx1 and stx2 by real-time PCR, as in previous studies (Cooley et al., 2007). STEC isolates were obtained after plating samples from positive enrichments on Rainbow O157 agar (Biolog, Inc., Hayward, CA, USA) containing 20 μg/ml novobiocin and 0.8 μg/ml potassium tellurite solution (Sigma-Aldrich, St. Louis, MO, USA; NT-Rainbow) or on CHROMagar O157 media (DRG International, Mountainside, NJ, USA) after immunomagnetic separation with Dynabeads® anti-E. coli O157 (Invitrogen, Carlsbad, CA, USA) as reported previously (Cooley et al., 2007). Suspect colonies were selected from NT-Rainbow or CHROMagar plates based on colony colors and morphologies, as recommended by the manufacturer’s product insert. Bacterial cultures were propagated on Luria–Bertani (LB) agar (Difco, Detroit, MI, USA).

Table 1

Shiga toxin-producing .

Strain	Other strain designations	Serotype	Source	Location	Provider or referencea
RM1697	Feedlot strain 42	O157:H7	Cattle	United States	Kimura et al. (2000)
RM2016	3323-61; DEC 9a	O26:H11	Human	United States	ECRC (Reid et al., 1999)
RM2028	C142-54; DEC 6b	O111:H12	Human	Germany	ECRC (Reid et al., 1999)
RM2048	A9619-c2; DEC 11c	O45:H2	Human	United States	ECRC (Reid et al., 1999)
RM2084	EDL-933; DEC 4f	O157:H7	Meat	United States	ECRC (Reid et al., 1999)
RM3642	CPK175	O121:NM	Human	Canada	CPKDRC
RM3655	CPK117	O113:H21	Human	Canada	CPKDRC
RM6011	WI_06BC005150	O157:H7	Human	United States	Tim Monson (Cooley et al., 2007)
RM6765	ATCC 23982; H515b	O103:H8	Human	Denmark	ATCC (Ørskov et al., 1977)
RM7006	B2F1; TW01393	O91:H21	Human	Canada	The STEC Center (Ito et al., 1990)
RM7007	T4/97; TW09358	O128:H2	Pigeon	Germany	The STEC Center (Schmidt et al., 2000)
RM7519	F260-H2	O113:H21	Cattle	United States	Laboratory collection
RM12761	EH1605	O145:H28	Ice cream	Belgium	Buvens et al. (2011)
RM13368	3024-94	O104:H21	Human	United States	CDC (1995), Dean-Nystrom et al. (2003)

.

.

Construction of the DNA microarray

To simultaneously evaluate multiple virulence determinants and serotypes of STEC strains, a 30-mer DNA oligonucleotide microarray was constructed. The serotype-specific probes were designed to target either wzx or wzy genes in the O-antigen gene clusters of 11 serogroups and to target the flagellin H7 antigen (fliC; Table 2). The virulence-specific probes targeted genes encoding Stx (stx1 and stx2), intimin (eae), non-enterocyte effacement effectors (nleA and ent/espL2), extracellular serine protease (espP), catalase peroxidase (katP), autoagglutinating adhesin (saa), subtilase cytotoxin (subA), enterohemolysin (ehxA), and perosamine synthetase (per; Wang et al., 2003; Bettelheim, 2007; Bolton, 2011; Quiñones et al., 2011; Table 2). The gadB gene, encoding glutamate decarboxylase (Smith et al., 1992), was included as a positive control to confirm that the DNA tested was derived from E. coli (Table 2). The probes were designed using PRIMER3 software (Rozen and Skaletsky, 2000), were purchased from Eurofins MWG Operon (Huntsville, AL, USA) with a 5′-amino-C6 modification for covalent binding to the slide surface, and were spotted in duplicate at a final concentration of 50 μM on ArrayIt® SuperEpoxy 2 microarray slides (Arrayit Corporation, Sunnyvale, CA, USA). As a positive control for the ampliPHOX reaction, a synthetic, 24-mer oligonucleotide probe with a 5′-amino-C6 and 3′-biotin modification (InDevR, Inc., Boulder, CO, USA) was spotted at a final concentration of 500 nM; this biotinylated control oligonucleotide does not have any sequence homology to any E coli genes. The microarrays were manufactured with an approximate spot diameter size of 200 μm and a center-to-center spacing of 700 μm (Arrayit Corporation). After printing, an adhesive microarray well (9 mm diameter, InDevR, Inc.) was placed in the center of the printed array, and the microarray slides were stored in a desiccator until further use.

Table 2

List of DNA oligonucleotides probes used in this study for microarray construction.

Target genea	Probe sequence (5′ → 3′)	Accession number	Reference
GROUP 1
wzyO26	ATCAAGACTATGAAGCGTATGTTGATATAT	AF529080	This study
wzyO45	GTATACCGACATATCATGGGATAGTTAATA	AY771223	This study
wzyO103	CTAAGATTCATCGAGGATGAGGGGTTATTT	AY532664	This study
wzyO111	CTTTCATTGTTGTAAGTTGTTTGTTACTGT	AF078736	This study
wzyO121	CCTTTGTCATACTCTTTTTGATATTATCAC	AY208937	This study
wzyO145	GCCTGATTATTCCTCTATTTTCTTATAATA	AY647260	This study
GROUP 2
wzyO104	GTTCAAAGTTATTTTGGAGAGAAAGATATT	AF361371	This study
wzxO91	GAGAGATTAAACAAGGATATCTGTTTCTTC	AY035396	This study
wzyO113	GATGATATGTTTTATTATATGGTTGTTAAG	AF172324	This study
wzyO128	TTTATATCAATGTGCTCATTAATTACACTG	AY217096	This study
wzyO157	CAGGGAATAAAGCATCAAGACTTATTTTAT	AF061251	This study
gadB	AGATTATCAATGACGAATTATATCTTGATG	M84025.1	This study
GROUP 3
ent	TATAATAAACCTGACAGCATATGATTTTCT	AAG58110	This study
espP	CGGATATAATCAGTCTTTCAATAAAATTGC	X97542	This study
katP	GGGACTTATTTATGTCAATCCTGAAGGCCC	X89017	This study
nleA	TACAGATATTCCCTCTGCATGATGAAATAG	BAF96541	This study
saa	TAAATAAAAATAGAAAACGTTCAGATGCCG	AF325200	This study
subA	GCAAGATCCTGTGATAAGAGTCGCTGCCCT	AF399919	This study
GROUP 4
eae	CATTGATCAGGATTTTTCTGGTGATAATAC	M58154	This study
ehxA	CAAAACAGGCTATGTTTGAGCACGTTGCAG	EF204929	This study
fliCH7	ATCTGAAAACCGAAAATACCTTGTTAACTA	AF169323	This study
per	TAGGCTACAATTATAGGATGACAAATATCT	AAG57096	Quiñones et al. (2011)
stx1	GTTCTTATGTAATGACTGCTGAAGATGTTG	AAG57228	This study
stx2	GGTTTCCATGACAACGGACAGCAGTTATAC	AAG55587	This study

Polymerase chain reaction

The detection of serotyping and virulence genes was achieved by performing a multiplex PCR amplification of biotinylated fragments, ranging in size between 154 and 342 base pairs (Table 3). PCR primers were purchased from Eurofins MWG Operon (Huntsville, AL, USA) with a 5′-phosphorylated modification for the forward primers and a 5′-biotin modification for the reverse primers. The target screen was divided into four groups, and each multiplex PCR reaction amplified six different targets (Table 3). As template for the PCR reaction, bacterial cultures of the reference strains and environmental isolates were grown aerobically in LB broth (Difco) for 24 h with constant shaking (200 rpm) at 37°C, and 100 μl aliquots of the bacterial cultures were collected by centrifugation at 2000 × g for 5 min. Cell pellets were resuspended in 100 μl of HyPure™ molecular biology-grade water (HyClone Laboratories, Inc., Logan, UT, USA) and incubated at 95°C for 20 min. The lysates were centrifuged at 2000 × g for 5 min, and the supernatants were collected and frozen until further use. For each multiplex group (Table 3), the PCR amplification was performed in a 50-μl reaction mixture, containing 3 μl of bacterial crude lysate, 25 μl of 2× GoTaq® Colorless Master Mix (Promega Corporation, Madison, WI, USA), and 5 μl of 10× multiplex group primer mix, as shown in Table 2. The reaction mixtures were placed in a Dyad Peltier Thermal Cycler (Bio-Rad Laboratories, Hercules, CA, USA) with the following settings: 5 min at 94°C, followed by 30 cycles of 45 s at 94°C, 1 min at 60°C (group 1) or 1 min at 55°C (groups 2–4), 1 min at 72°C, and a final extension time of 7 min at 72°C. Identification of serotype and virulence genes in the E. coli isolates was confirmed by a single PCR assay, and each reaction consisted of 12.5 μl of 2× GoTaq® Green Master Mix (Promega Corporation), 0.5 μM of each primer (Table 3), and 3 μl of the bacterial crude lysate in a total volume of 25 μl. Amplified products were analyzed in 2% agarose gels containing 0.04 μl/ml GelRed Nucleic Acid Stain (Phenix Research, Candler, NC, USA).

Table 3

List of DNA oligonucleotides used in this study for multiplex PCR amplification of biotinylated fragments.

Target genea	Primers for PCR			Amplicon (bp)	Accession number	Reference
	Forward sequence (5′ → 3′)	Reverse sequence (5′ → 3′)	Amountb
Group 1
wzyO26	GGTTTATGGATTATTGCATTC	CCAATTATGACTTCATGGGT	1.0	221	AF529080	This study
wzyO45	CGTCTGGATGAAATTATGCC	GTCTGAAGACCAGCATTTCCC	0.5	289	AY771223	This study
wzyO103	ATACAAATGGCGTGGATTGG	GCCAGTAATTGACGTAACTG	0.5	280	AY532664	This study
wzyO111	GGTGTGATAGGAGCATTGGT	CAACTCCAACTGTAAGCCCG	0.5	192	AF078736	This study
wzyO121	CCCGATATTCTAGTAGCCGT	CTTCAATGAGTGCAGGCAAA	1.0	235	AY208937	This study
wzyO145	GCCCTTTTCAGTGGTGCG	GCAGCCCAATATGAAACCAT	0.5	206	AY647260	This study
GROUP 2
wzyO104	GTTCATTAGATCGAGGTT	CTTGTCTGATACGGTCAAGTG	0.4	162	AF361371	This study
wzxO91	CAAGCAGGTATTTGGGATGG	TCCCCCATAGATACGAATGA	1.0	248	AY035396	This study
wzyO113	TGAGCGTTTCTGACATATGGA	GTTTCGCTGGCATATTACTG	0.4	296	AF172324	This study
wzyO128	TGGATTTGATTGGGGGAAT	TCTTGCAAAACACCGCATAC	1.0	190	AY217096	This study
wzyO157	CCGACACCAGAGTTAGAAAAG	CAGTTCTGCTCCATACGTAG	0.4	156	AF061251	This study
gadB	CACGTTTTGGTGCGAAGTCT	TTGTGGACATTTTCGTCGTC	0.2	175	M84025.1	This study
GROUP 3
ent	CACATCATTAGAAGTTCATT	AGTCCTGCTCCCATAGCAAA	0.5	342	AAG58110	This study
espP	GCACTGTCTGGCGGTGAATA	CGTCCAGATTCCCGTTTATG	0.1	202	X97542	This study
katP	GCGGAAGAGAAGATGACTGG	GCACCATGTGCTTTACCAAA	1.0	277	X89017	This study
nleA	TATGGTGTCCAGCTAAACAT	CCAGTCGATGCAATAGTCGA	0.1	185	BAF96541	This study
saa	CCAATCAACAGTTTCGTCAA	GCAATAGCCTGTTCATCACG	0.1	166	AF325200	This study
subA	CGGCTTATCATCCTGTCAGC	TATAGCTGTTGCTTCTGACG	0.1	233	AF399919	This study
GROUP 4
eae	CGTTACATTGACTCCCGCTT	CTCATGCGGAAATAGCCGTT	0.2	188	M58154	This study
ehxA	GAGTTCTGTATCTGCGGGAG	GCAAGTTCACCGATCTTCTC	0.75	339	EF204929	This study
fliCH7	CAACAAAGCTGCAACGGTAA	GCCGCCAACTGTGACTTTAT	0.2	154	AF169323	This study
per	GGTGAAGGTGGAATGGTTGTC	TCAGCAATTTCACGTTTTCGTG	0.2	206	AAG57096	Quiñones et al. (2011)
stx1	GGATGCAGATAAATCGCCAT	GAGTCTTGTCCATGATAGTC	0.4	274	AAG57228	This study
stx2	GATTTYDCACATATWTCAKTGCC	AACTCCATTAAMKCCAGATATGA	0.75	155	AAG55587	This study

.

.

.

.

Microarray hybridization

For each hybridization reaction, 45 μl of PCR amplicons were purified by using the MinElute® PCR purification kit (Qiagen, Valencia, CA, USA). To achieve a rapid microarray hybridization (Boissinot et al., 2007), single stranded DNA targets were produced after a lambda exonuclease digestion of the PCR-amplified targets, consisting of 10 μl of the eluate, 10 U of lambda exonuclease and 1× lambda exonuclease reaction buffer (Epicenter Biotechnologies, Madison, WI, USA) in a final volume of 23 μl for 15 min at 37°C, followed by addition of 23 μl of 2× Hybridization Buffer (InDevR, Inc.). The hybridization mixture was applied to each microarray, and the slides were incubated in a humidified chamber (InDevR, Inc.) for 1 h at room temperature. Following hybridization, the slides were transferred to a slide drying tray (Evergreen Scientific, Los Angeles, CA, USA) and were rinsed with Microarray Wash Buffers A thru D (InDevR, Inc.) in the following order: wash Buffer D for 5 s, Wash Buffer A for 1 min, Wash Buffer D for 5 s, Wash Buffer B for 5 min, and Wash Buffer C for 5 min. The slides were then dried by centrifugation at 200 × g for 2 min prior to labeling.

Microarray labeling, signal amplification, and analysis

The hybridized microarrays were labeled after incubation with 40 μl of a streptavidin-conjugated ampliTAG™ labeling solution (InDevR, Inc.) for 5 min at room temperature in a dark humidity chamber, and immediately after labeling, microarrays were rinsed with Wash Buffer D for 5 s, Wash Buffer C for 5 min, distilled water for 5 min, and then dried by centrifugation at 200 × g for 2 min. Positive hybridization signals on each microarray were detected by incubation with 40 μl ampliPHY™ solution (InDevR, Inc.), followed by photoactivation for approximately 1–2 min with the ampliPHOX Reader™ and the associated ampliVIEW™ software 2.0 (InDevR, Inc.), as recommended by the manufacturer. Polymer formation was visualized after a 1-min staining with ampliRED™ solution. Color digital images of the stained arrays were acquired with the ampliPHOX Reader, and for each spot, quantification of signal and background mean pixel intensities were determined with the ampliVIEW software.

Results

A rapid and inexpensive colorimetric microarray method for genotyping STEC

To implement using a rapid and cost–effective method to detect a selected set of genes in STEC isolates, recovered from an important food production region in the central coast of California, the present study explored an alternative procedure for genotyping STEC using DNA microarrays. This novel and innovative colorimetric method is based on light-initiated signal amplification through polymerization (Kuck and Taylor, 2008; Sikes et al., 2008). Instead of using a fluorophore, a streptavidin-conjugated photoinitiator specifically binds to biotin-labeled amplified targets, hybridized to oligonucleotide probes on the microarray (Figure 1). After a short light exposure, a colorless polymer forms where the probe and target sequences hybridized exclusively on the microarray. Polymer formation is easily visualized after a short staining step (Figure 1). The process of photopolymerization, also referred to as ampliPHOX colorimetric detection method, replaces expensive dyes and scanners required for fluorescent-based detection with microarrays (Kuck and Taylor, 2008; Moulton et al., 2011).

Figure 1

Schematic diagram of ampliPHOX colorimetric method with DNA microarrays. First, DNA microarrays are hybridized with DNA target labeled with biotin (red circles). Second, the microarray is labeled with a photoinitiator (letter P) that is conjugated to streptavidin (blue polygons). Third, a short light-initiated polymerization reaction results in a colorless polymer localized exclusively where the probe and target sequences hybridized on the microarray. Polymer formation is visualized after a quick staining step.

Specificity of STEC identification

As a proof-of-principle method for routine pathogen surveillance, a low-density microarray was designed to target relevant serotypes and virulence genes, associated with pathogenic STEC. To validate the specificity of using DNA microarrays with the ampliPHOX colorimetric method, several STEC reference strains, recovered from environmental and clinical samples with different genotypes, were examined (Table 1). The results of the validation experiments of group 1 and group 2 probes indicated this microarray method was accurate in detecting the O-antigen types of the STEC reference strains (Figure 2). Polymer formation was observed exclusively where the probe sequences were spotted on the microarrays, and the patterns of photopolymerization correlated with the O-type of the reference strains. For example, analysis of the O26 strain RM2016 resulted in polymer formation exclusively where O26 wzy gene probes were spotted on the microarray. Moreover, analysis of group 2 probes resulted in the accurate O-antigen identification in the reference strains as well as the gadB gene, included as a positive control for detecting all E. coli isolates (Figure 2).

Figure 2

Genotyping Shiga toxin-producing . STEC reference strains from clinical or environmental sources with different genotypes (Table 1) were analyzed by 30-mer oligonucleotide DNA microarrays and the ampliPHOX colorimetric method. The panels, shown under strain designations, illustrate polymer formation on spotted probes for microarrays hybridized with amplification reactions testing a particular STEC reference strain or controls lacking a DNA template. The array layout shows the duplicate spots with probes targeting the O-antigen and virulence genes that are represented in groups 1–4. Biotinylated probes spotted along the top, middle and bottom rows (dark gray) of the array layout correspond to positive controls for polymer formation.

Similar results were obtained when assessing the virulence profile of the STEC strains. In particular, analysis of O157:H7 strain RM2084 resulted in polymer formation for probes targeting ent, nleA, espP, and katP genes and for probes targeting eae, per, ehxA, stx1, stx2, and fliCH7 when testing the multiplex group 3 or group 4, respectively (Figure 2). Further examination of the virulence profiles of the O113:H21 strain RM7519 and the O157:H7 strain RM6011 demonstrated that the patterns of polymer formation correlated with their genotype that was determined previously by conventional PCR. For reactions lacking a DNA template, polymer formation was observed only with the biotinylated oligonucleotide probes spotted on the slide as a control for the ampliPHOX polymerization reaction (Figure 2).

High mean pixel intensities of the signal were obtained for spots where polymer formation was detected. Positive signals for O157 O-antigen wzy gene spots from analysis of several experiments for O157:H7 strain RM1697 had mean pixel intensity values ranging from 84.4 ± 4.8 to 97.5 ± 4.5 with background values ranging from 25.2 ± 1.4 to 25.6 ± 1.5. Further, analysis of O157:H7 strains RM2084 and RM6011 and of O113:H21 strain RM7519 indicated positive signal values for all virulence spots ranged from 82.4 ± 2.9 to 108.3 ± 2.5 for the group 3 probes, and for the group 4 probes, mean pixel signal intensities ranged from 70.9 ± 6.1 to 112.8 ± 3.4. These results for the positive signals contrasted with background values, ranging from 25.2 ± 1.4 to 25.9 ± 1.8. Similar values were obtained for other arrays used in several experiments for genotyping reference strains with different O-antigens and virulence profiles. These findings indicated a significant difference between signal intensities and background noise, facilitating microarray data analysis, and accurate interpretation of results with this DNA microarray-based genotyping method.

Genotyping STEC isolates from a produce production region in california

The high level of specificity of the microarray colorimetric method, obtained in the validation experiments, prompted us to expand the study to genotype E. coli isolates from produce production regions in California. Enrichment broths were prepared from watershed sediment or from wildlife and livestock fecal samples, and the recovery of E. coli isolates was achieved after plating an aliquot of the enrichment broth on selective solid media. A subset of recovered E coli isolates, identified initially to be positive for various relevant O-types by a conventional PCR assay, were selected for analysis with the microarray colorimetric method. As shown in Table 4, the results indicated that this microarray colorimetric method accurately determined the O-antigen serogroup of the tested environmental STEC isolates. The formation of polymer on spots targeting a particular O-type correlated with the O-antigen that was determined previously by a conventional PCR assay (Table 4). Quantification analysis revealed that the mean pixel intensity values of the O-antigen spot signals for all tested isolates ranged from 75.6 ± 6.3 to 110.1 ± 4.8; however, values ranging from 25.1 ± 1.6 to 25.9 ± 2.7 were detected for the background.

Table 4

Genotyping Shiga toxin-producing .

Isolate number	Source	O-antigen PCR assay	Microarray-ampliPHOX genotyping assay genes
			wzyO26	wzyO45	wzxO91	wzyO103	wzyO104	wzyO111	wzyO113	wzyO121	wzyO128	wzyO145	wzyO157	eae	ehxA	ent	espP	fliCH7	katP	nleA	per	saa	stx1	stx2	subA
RM7847	Cattle	O26	+	−	−	−	−	−	−	−	−	−	−	+	−	+	−	−	−	+	−	−	−	−	−
RM7914	Coyote	O26	+	−	−	−	−	−	−	−	−	−	−	+	+	+	+	−	+	+	−	−	+	−	−
RM9913	Feral pig	O26	+	−	−	−	−	−	−	−	−	−	−	+	+	+	+	−	+	−	−	−	+	−	−
RM9414	Cattle	O45	−	+	−	−	−	−	−	−	−	−	−	−	−	−	+	−	−	−	−	+	+	−	−
RM9408	Cattle	O45	−	+	−	−	−	−	−	−	−	−	−	−	−	−	+	−	−	−	−	+	+	−	−
RM10729	Cattle	O45	−	+	−	−	−	−	−	−	−	−	−	−	−	−	+	−	−	−	−	+	+	−	−
RM7190	Feral pig	O91	−	−	+	−	−	−	−	−	−	−	−	−	+	−	−	−	−	−	−	+	−	+	−
RM7191	Sediment	O91	−	−	+	−	−	−	−	−	−	−	−	−	+	−	−	−	−	−	−	+	−	+	−
RM7933	Cattle	O91	−	−	+	−	−	−	−	−	−	−	−	−	−	−	−	−	−	−	−	−	+	+	−
RM9882	Cattle	O103	−	−	−	+	−	−	−	−	−	−	−	+	+	+	+	−	+	−	−	−	+	−	−
RM10408	Crow	O103	−	−	−	+	−	−	−	−	−	−	−	+	+	+	+	−	+	−	−	−	+	−	−
RM10804	Feral pig	O103	−	−	−	+	−	−	−	−	−	−	−	+	+	+	+	−	+	+	−	−	+	−	−
RM8799	Cattle	O104	−	−	−	−	+	−	−	−	−	−	−	−	+	−	+	+	−	−	−	+	−	+	+
RM9387	Cattle	O104	−	−	−	−	+	−	−	−	−	−	−	−	+	−	+	+	−	−	−	+	−	+	+
RM11037	Cattle	O104	−	−	−	−	+	−	−	−	−	−	−	−	+	−	+	+	−	−	−	+	−	+	+
RM9322	Sediment	O111	−	−	−	−	−	+	−	−	−	−	−	+	+	+	−	−	−	+	−	−	+	−	−
RM9881	Cattle	O111	−	−	−	−	−	+	−	−	−	−	−	+	+	+	−	−	−	+	−	−	+	−	−
RM9907	Feral pig	O111	−	−	−	−	−	+	−	−	−	−	−	+	+	+	−	−	−	+	−	−	+	−	−
RM7513	Cattle	O113	−	−	−	−	−	−	+	−	−	−	−	−	+	−	+	−	−	−	−	+	−	+	+
RM7806	Feral pig	O113	−	−	−	−	−	−	+	−	−	−	−	−	+	−	+	−	−	−	−	+	−	+	+
RM10410	Crow	O113	−	−	−	−	−	−	+	−	−	−	−	−	−	−	−	−	−	−	−	−	+	+	−
RM10046	Cattle	O121	−	−	−	−	−	−	−	+	−	−	−	+	+	+	+	−	−	+	−	−	−	+	−
RM10068	Sediment	O121	−	−	−	−	−	−	−	+	−	−	−	+	+	+	+	−	−	+	−	−	−	+	−
RM10740	Feral pig	O121	−	−	−	−	−	−	−	+	−	−	−	−	−	−	−	−	−	−	−	−	−	+	−
RM7408	Deer	O128	−	−	−	−	−	−	−	−	+	−	−	−	+	−	−	−	−	−	−	−	+	+	−
RM10461	Cattle	O128	−	−	−	−	−	−	−	−	+	−	−	−	−	−	+	−	−	−	−	+	+	−	−
RM10743	Sediment	O128	−	−	−	−	−	−	−	−	+	−	−	−	−	−	+	−	−	−	−	+	+	−	−
RM9303	Cattle	O145	−	−	−	−	−	−	−	−	−	+	−	+	+	+	+	−	−	−	−	−	+	−	−
RM9320	Soil	O145	−	−	−	−	−	−	−	−	−	+	−	+	+	+	+	−	−	−	−	−	+	−	−
RM9917	Feral pig	O145	−	−	−	−	−	−	−	−	−	+	−	+	+	+	+	−	+	−	−	−	+	−	−
RM9471	Cattle	O157	−	−	−	−	−	−	−	−	−	−	+	+	+	+	+	+	+	+	+	−	+	+	−
RM9908	Soil	O157	−	−	−	−	−	−	−	−	−	−	+	+	+	+	+	+	+	+	+	−	−	+	−
RM10058	Crow	O157	−	−	−	−	−	−	−	−	−	−	+	+	+	+	−	+	−	+	+	−	−	+	−

.

.

The virulence profile of the isolates was then analyzed by this microarray method. The analysis indicated that more than 50% of the tested isolates were positive for the virulence factors eae, ehxA, ent, espP, and stx1, and STEC isolates harboring the same O-type were also similar in virulence gene profiles (Table 4). Similar to the O-antigen analysis, the virulence profiles were confirmed by a separate analysis using conventional PCR assay (data not shown). Further quantification of the detected microarray signals in the analysis of O45 cattle isolate RM10729 resulted in average signal intensity values of 99.3 ± 4.7, 106.7 ± 6.3, and 78.8 ± 3.8 for spots targeting espP, saa, and stx1 genes, respectively with a background value of 25.3 ± 2.4 for this microarray examined. Moreover, quantification of the mean pixel intensity of stx2 spots had a signal value of 103.1 ± 3.8 and a background value of 25.4 ± 3.5 when analyzing feral pig isolate RM10740. These quantification results were typical for all environmental isolates examined by this microarray method. These results revealed a clear distinction between positive signals, where polymer formation was observed on microarray spots, when compared to the background, and this facilitated accurate genotyping of the tested environmental isolates.

Discussion

The growing concern about sporadic and outbreak illnesses associated with STEC has prompted the development of methods for more efficient detection of STEC in the United States (Johnson et al., 1996; Brooks et al., 2005; Gould et al., 2009; Hoefer et al., 2011; Stigi et al., 2012). To address this issue, the present study developed a simple, rapid, cost–effective, and quantitative colorimetric method for the assessment of molecular risk factors associated with STEC pathogenesis. The advantage of using the DNA microarray platform in conjunction with ampliPHOX colorimetric method was successfully demonstrated by simultaneously detecting highly relevant genes on a selected group of STEC recovered from clinical and environmental sources. Previously, a low-density DNA oligonucleotide microarray was developed to target E. coli O157 (Quiñones et al., 2011), the STEC that has been most-commonly associated with produce outbreaks that traced back to leafy vegetables from the United States (Cooley et al., 2007; Mandrell, 2011). In the present study, additional probes were designed to target six non-O157 serogroups, reported previously to be associated with the majority of STEC infections in the United States and worldwide as well as another set of non-O157 serogroups, linked to sporadic disease and diarrhea (Brooks et al., 2005; Bettelheim, 2007). The selected virulence-specific probes targeted stx, eae, nle, and ent genes, located on pathogenicity islands and implicated in conferring E. coli strains with an increased ability to cause disease (Coombes et al., 2008; Bolton, 2011). In addition to katP, exhA, espP, and subA gene detection, this microarray method targeted saa, encoding an attachment factor that has been found in non-O157 STEC strains isolated from patients suffering from severe disease symptoms (Bettelheim, 2007; Bolton, 2011). An important advantage of the ampliPHOX colorimetric method is the relatively short 30-mer oligonucleotide probes used, thus facilitating the specific detection of target genes without any cross-hybridization of non-target genes. In contrast, the commonly used fluorescent assays for microarray detection require longer probes (70 or 100-mer) to distinguish signals from the background noise (Letowski et al., 2004). Quantification of the colorimetric positive signals in this study revealed that mean pixel intensities were at least three times higher than the colorimetric signals for spots without any specific hybridization, and consequently, positive signal intensities were discriminated easily from background noise.

The use of DNA oligonucleotide arrays on glass slides in conjunction with traditional fluorescence detection assays for genotyping STEC has been reported previously (Call et al., 2001; Chizhikov et al., 2001; Chen et al., 2005; Bruant et al., 2006). The disadvantage of traditional fluorescent assays for microarray-based detection is that the labeling of target DNA with fluorescent Cy dyes can be inconsistent, resulting consequently in decreased assay sensitivity (Call, 2005; Kuck and Taylor, 2008; Vora et al., 2008). Furthermore, the use of traditional fluorescence requires the use of expensive and non-portable confocal scanners for data analysis and quantification (Kuck and Taylor, 2008; Moulton et al., 2011). Recent reports have documented the development of microtube-based DNA arrays as more cost–effective than standard fluorescent methods (Anjum et al., 2007; Ballmer et al., 2007). However, the use of the microtube-based arrays requires microgram amounts of purified genomic DNA from the tested strain to reliably detect all expected genes (Anjum et al., 2007), which is not amenable for high-throughput sampling of a large number of bacterial isolates. In contrast, the ampliPHOX colorimetric detection method, employed in the present study, uses a small, portable, and inexpensive scanner that is at least tenfold lower in cost, compared with confocal microarray scanners (Moulton et al., 2011). Moreover, this colorimetric assay uses 2–3 μl of crude/unpurified bacterial lysates to successfully detect all target genes on the microarray with a rapid assay time. The inclusion of an amplification step coupled with an exonuclease digestion of target DNA allowed for rapid and accurate genotyping of 25–30 STEC isolates in approximately 3–4 h.

The microarray-based colorimetric assay was then employed to examine the genetic composition of environmental isolates from an important produce production region in the United States located on the central coast of California. Our findings indicated that this assay simultaneously detected relevant O-antigens and virulence genes in isolates recovered from multiple types of animal fecal samples (livestock and wildlife) and watershed sediment samples present on or near farms or ranches in this agricultural region. The genotyping results demonstrated that different isolates with the same O-antigen gene had a similar virulence gene profile. Still to be determined is whether the similar virulence gene profiles in non-O157 and in O157 strains represents a stable and predominant genotype in this major produce production region. Future work is aimed at assessing molecular risk factors associated with STEC pathogenesis in a larger and diverse set of environmental isolates recovered from ranches, farms, and watershed sites in produce production regions in California for assessing pathogen incidence, movement, and virulence potential. Thus, the DNA microarray-based ampliPHOX colorimetric system, using low-cost reagents and instrumentation, proved to be a simple and quantitative method that allowed for rapid and high-throughput O-antigen and virulence factor typing of STEC isolates.

Conflict of Interest Statement

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.