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A molecular based method for rapid detection of Salmonella spp. in poultry dust samples

Published: October 12, 2021
By: Md Ahaduzzaman 1,2; Peter J. Groves 3; Stephen W. Walkden-Brown 1; Priscilla F. Gerber 1 / 1 Animal Science, School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia; 2 Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh; 3 Faculty of Veterinary Science, The University of Sydney, Camden, NSW, Australia.
Method details
Salmonella spp. cause fowl typhoid and pullorum diseases in poultry and are responsible for nontyphoidal Salmonella infection in humans. Prevention of Salmonella infection in chicken flocks is an important step in reducing salmonellosis outbreaks in humans. Vaccination with live attenuated vaccine of certain strains such as e.g. S. Enteritidis, S. Typhimurium and S. Gallinarum has been commonly used in the field to prevent the disease, and proven to be useful to reduce bacterial shedding [1,2]. To monitor Salmonella shedding patterns in vaccinated and unvaccinated flocks, a combination of litter, drag swab, dust swab, feed and egg belt swab are usually used [3,4]. However, extraction of genomic DNA from these various sample types is expensive and time-consuming due to the requirement for faecal or soil DNA extraction kits [4] or overnight processing of extracted DNA samples [5], restricting the success of routine monitoring of Salmonella in poultry flocks.
Dust sample collection using settle plates has been a useful tool for routine monitoring of pathogens in poultry flocks [6]. The use of media-free, dry settle plates enables easy collection of a stable material, dry dust, from which nucleic acid extraction can effectively be done using inexpensive extraction kits [7]. Even less costly methods such as the boiling method of DNA extraction have been effective for Salmonella detection from different food specimens [8]. However, it is unknown if this method would be effective for Salmonella detection in dust samples.
This study reports the longitudinal tracking of Salmonella using dust samples collected on dry settle plates from an experimental flock exposed to Salmonella enterica serovar Typhimurium DT 135 at 1 day of age, based on PCR detection of Salmonella invA gene in dust with and without enrichment and with two methods of DNA extraction: a commercial kit and a method based on boiling of samples enriched over-night in buffered peptone water (BPW). The invA gene-based PCR was chosen for its ability to detect multiple Salmonella spp. as a screening tool. Furthermore, the samples used for this protocol development were derived from an experimental flock challenged with S. Typhimurium PT 135, and no other serotypes were identified by culture and biochemical tests from monitoring of cloacal swabs and drag swabs during the experiment [9]. In samples positive for the invA gene DNA, multiplex PCRs would be required for the differentiation of specific Salmonella serovars according to the research and diagnostic needs.
Materials
Autoclave (HiclveTM, HV-85L, Hirayama)
Biosafety cabinet class II or Bunsen burner
Buffered Peptone Water (BPW, Oxoid, Cat. no. CM0509B, Australia)
Colony counter (SCC100, Selby®)
Corbett Robot
Digital microbalance
Distilled water
Erlenmeyer flask (conical flask)
Glass pipette (10 ml)
Heat block
Incubator (Labmaster®)
ISOLATE II Genomic DNA Kit (Bioline, Cat. No. BIO-52067, Australia)
Microcentrifuge tubes
PCR tubes
Petri dishes
Pipette filter tips
Pipettes (10, 100 and 1000 μl)
Polypropylene L-shaped spreaders (Wiltronics, Cat. No. TL1350, Australia)
PYREX® screw cap culture tubes with phenolic caps (Thomas Scientific, Cat. no. 9212C21, USA)
RNase-free water
Rotor-gene qPCR system
Salmonella enterica serovar Typhimurium (strain: ACM 3598)
Screw cap bottle/media bottle (Thomas Scientific, Cat. no.1743G56, USA)
Settle plates
Test tube rack
Test tubes
Vortex
Xylose Lysine Deoxycholate (XLD) Agar (Oxoid, Cat. no. CM0469B, Australia)
Protocol
Sample collection
Dust samples (n = 40) were collected in a curtain sided conventional experimental chicken house divided into 16 pens of which 7 pens containing 210 Hy-Line Brown layer chickens (30 birds/pen) and 9 pens remaining empty as previously described [9]. Briefly, the birds of 6 pens were exposed to a field isolate of S. Typhimurium DT 135 using a seeder bird technique at 0 day of age and birds of remaining pen were unchallenged control (Supplementary Table 1). At weeks 10 and 16 of age, the birds were vaccinated with a live Aro-A deletion mutant vaccine against S. Typhimurium strain STM1 (VaxsafeST, Biopropeties Australia, Ringwood, Victoria) in 4 pens of the 6 challenged pens by intramuscular injection of approximately 2.3 × 107 colony forming unit (CFU)/bird.
Dust samples were collected at 8.5, 9, 9.5, 12, 14, 15, 16, 18 and 30 weeks of age using a dry plastic settle plate with a surface area of 520 cm2. Settle plates were installed in five sites within the house near pens 13, 14, 17, 19 and 23. Samples from each site were collected into separate zip-lock bags by shaking and scraping the dust deposited on the surface of the settle plate into the bag then sealing it. After collection, samples were stored at -20 °C and then transported to the University of New England for further storage at -80 °C prior to use. Dust samples were homogenised by vortexing and divided into two aliquots before further testing. Additionally, drag swabs (1 swab/pen) of individual bird pens were collected from 6 challenged pens using two tampons per pen soaked in sterile BPW at 8, 12, 16 and 18 weeks of age and were cultured for the presence of Salmonellae using the Australian Standard method (AS 5013.10-2009) [10]. This involved incubation and inoculation into modified semisolid Rappaport-Vassiliadis medium, Hektoen and xylose-lysine-deoxycholate media and chromogenic agar. Presumptive Salmonella colonies were confirmed serologically with poly-O and poly-H antisera by the slide agglutination technique after sub-culture on a nutrient agar slope [9]. The experiment was approved by the University of Sydney Animal Ethics Committee (Approval no. 2017/1207).
Dust sample processing and extraction
1. Samples enriched for Salmonella: Approximately 100 mg of dust was resuspended in 10 ml of BPW and mixed by vortexing for 20–30 s. For samples for which less than 100 mg was available, 10 to 50 mg of dust was used. The samples were incubated at 37 °C for 18 h. Enriched samples were extracted by two methods.
(i) Boiling method: 1 ml of enriched sample was pipetted from the middle of tube (Fig. 1) and was transferred to 1.5 ml microcentrifuge tubes and centrifuged for 10 min at 13,000 × g. The supernatant was discarded carefully. The pellet was resuspended using
A molecular based method for rapid detection of Salmonella spp. in poultry dust samples - Image 1
300 μl of molecular water by vortexing followed again by centrifugation at 13,000 × g for 5 min and discarding of the supernatant. The pellet was resuspended using 200 μl of molecular grade water by vortexing. The microcentrifuge tube was incubated at 100 °C for 15 min using a heat block then immediately chilled on ice for 15 min. The sample was then centrifuged for 13,000 × g for 5 min. The supernatant was carefully transferred to a new microcentrifuge tube and incubated again at 100 °C for 10 min then chilled immediately on ice for 10 min. The sample was then mixed with a pipette prior to use in the PCR reaction. This method was described previously by De Medici et al. [11], but the centrifugation was performed at 13,000 × g in this experiment instead of 14,000 × g.
(ii) Extraction kit: 1 ml of the pre-enriched sample was extracted using the ISOLATE II Genomic DNA kit according to the manufacturer’s instructions. Extracted DNA was eluted in a volume of 100 μl.
2. Non-enriched dust samples: Five mg of dust was extracted using the ISOLATE II Genomic DNA kit and DNA eluted in a final volume of 100 μl as described by Ahaduzzaman et al. [7]. The boiling method was not used to extract DNA from non-enriched dust samples because of the reduced sensitivity of this method and the insufficient amount of dust samples to carry on this test.
3. DNA concentration: Extracted DNA quality and quantity were measured using a spectrophotometer (NanoDropND-1000 UV-Vis) and stored at -20 °C until use.
Real-time qPCR for Salmonella
1. Development of Salmonella standards: A suspension of S. Typhimurium was 10-fold diluted from 10−1 to 10−8 in molecular grade water. For the preparation of standards, DNA was extracted from each dilution by both the boiling method and the commercial extraction kit as described above. To quantify the Salmonella counts in each standard, 100 μl of the same bacterial suspension was plated by using spread plate technique as described by Sanders [12] on XLD agar plates with 6 replicates per dilution and incubated for 24 h at 37 °C. Colony counting was performed using a colony counter. Based on the number of enumerated colonies on agar plates, the concentration of Salmonella in the original suspension was calculated in CFU/ml. CFU was estimated using the standard formula of CFU = (Number of colony × dilution factor)/amount plated.
The sensitivity and amplification efficiency for both real-time PCR assays were tested by amplification of 10-fold serial dilutions of S. Typhimurium DNA samples. The threshold cycles were plotted against the log10 values of the initial number of S. Typhimurium DNA copies in the PCR to construct a standard curve for each assay. Linearity was observed with the following linear regression
A molecular based method for rapid detection of Salmonella spp. in poultry dust samples - Image 2
curves: y = -3.77x + 30.23 and y = -4.37x + 35.70 for the kit and boiling methods of extraction respectively, where y is the CT value and x is the log10 concentration of Salmonella. A high coefficient of determination (R2 = 0.999) was attained for both methods, and a high amplification efficiency (87% by kit and 70% by boiling methods) was achieved. Therefore, it is considered that these assays produced an accurate quantification of Salmonella when the initial amount of Salmonella DNA in the PCR fell in the range of 1.00 × 100 to 1.09 × 105 copies/reaction for the kit extraction and 4.85 × 100 to 4.85 × 105 copies/reaction for the boiling method of extraction.
2. Real-time qPCR conditions: Extracted DNA was tested for Salmonella by a qPCR using primers (forward: 5‘–AACGTGTTTCCGTGCGTAAT–3’ and reverse: 5‘–TCCATCAAATTAGCGGAGGC–3’) and TaqMan probe (5‘-FAM-TGGAAGCGCTCGCATTGTGG-BHQ-1-3’) targeting the invA gene [13]. Each 25 μl of real-time PCR reaction contained 0.5 μl of each primer (0.5 mM), 0.5 μl of probe (10 mM), 5 μl of template DNA (1:10 dilution in molecular water), 12.5 μl of 2 × master mix, and 6 μl of nuclease-free water. PCR conditions were 95 °C for 3 min, was followed by 40 cycles of 15 s at 95 °C and 30 s at 60 °C. The standards developed following DNA extraction by each extraction method were used to quantify samples extracted by the same method. The results were analysed by the Rotor-Gene Q version 2.3.1.49 software and reported as Salmonella log10 CFU per gram of dust.
Data analysis
Statistical analyses were performed using JMP v.14 software (SAS Institute, Cary, NC, USA). Salmonella CFU per g of dust (with or without enrichment) was analysed and expressed on the log10 scale. The proportion of samples positive for Salmonella are presented as number of positive samples by the total number of samples sampled (%) in each category (non-enriched kit, enriched kit, enriched boil, and drag swab) and McNemar’s test was used for pairwise comparison to determine whether the proportions of PCR-positive samples were significantly different. Prevalence of Salmonella in drag swab and enriched dust at given sampling day linear association was explored. Analysis of variance was used to test the effects of sampling time and treatment effects with means and standard errors reported. Association between the methods of extraction of Salmonella CFU was analysed using an intraclass correlation coefficient (ICC) test.
Method validation
Quality assessment results of extracted DNA are presented in Table 1. The 260/280 and 260/230 ratio were <1 in case of 97.5 to 100% of samples when DNA extraction was done from non-enriched dust samples using the extraction kit, and between 1.8 and 2 on 52.5 and 70% of samples when extraction was done from enriched dust using boiling method and extraction kit, respectively. This indicates that enrichment of samples prior to DNA extraction significantly improves the quality of the obtained DNA.
The proportion of dust samples positive for Salmonella increased with overnight enrichment (Table 2) particularly when bacterium concentrations were low. Overall, 62.5% (25/40) of samples were positive after enrichment while 40% (16/40) of non-enriched samples were positive (P = 0.003).
A molecular based method for rapid detection of Salmonella spp. in poultry dust samples - Image 3
A molecular based method for rapid detection of Salmonella spp. in poultry dust samples - Image 4
When Salmonella levels were high, from weeks 8 to 12 of bird age (Fig. 2) all samples were positive irrespective of enrichment. However, for the samplings at 14–18 weeks, when Salmonella levels were 2–6 logs lower, only 20–40% samples were positive without enrichment while 20–80% of samples were positive after enrichment. No difference was observed in the detection pattern of Salmonella between kit and boiling method of extraction after enrichment (P = 1.00).
Compared to detection using drag swabs, there was no significant difference in the detection rates of enriched dust and drag swab samples on the same sampling days (P = 0.08) (Table 2). Linear
A molecular based method for rapid detection of Salmonella spp. in poultry dust samples - Image 5
association between Salmonella prevalence (%) in dust and drag swabs showed a strong positive relationship (r = 0.76), suggesting that Salmonella shed actively in faeces and found in litter can be detected in settled dust in the environment.
The level of Salmonella detected in dust (CFU/g) also depended on overnight enrichment of dust (P = 0.004) and bird age/day post challenge infection (P < 0.0001) but not by the extraction method used on enriched samples (Fig. 2). The level was similar (P = 0.94) for enriched samples extracted using a commercial kit (3.70 ± 0.31) or the boiling method (3.76 ± 0.31) and was lower (1.60 ± 0.31) for non-enriched samples extracted using the commercial kit (P < 0.001). Levels declined gradually to low levels at week 15, followed by a small increase at week 16, then a decline to low levels at week 18 with all samples negative at week 30.
There was an almost perfect agreement between the real-time PCR results from enriched samples following DNA extraction by the boiling and commercial kit methods (ICC = 0.99, P < 0.0001, Fig. 3A). On the other hand, there was a moderate agreement between PCR values of enriched and nonenriched dust extracted by the commercial kit method (ICC = 0.72, P < 0.0001, Fig. 3B).
Longitudinal tracking of Salmonella in dust samples was possible after birds were challenged with Salmonella. Enrichment of dust samples in BPW improved sensitivity and Salmonella detection pattern using qPCR. No difference was observed between the boiling method and extraction kit method. Collection of dust samples using settle plates followed by enrichment in BPW, extraction of DNA using the boiling method and qPCR analysis may offer a cost effective and practical method of Salmonella monitoring in poultry populations. Dust is a stable, easily collected population level sample and qPCR of dust for pathogen detection offers advantages in speed, simplicity and potentially sensitivity over methods based on culture of the organism.
Additional information
Classical methods for detection of Salmonella involve analysis of faeces or cloacal swabs, or both. However, as classical methods are impractical for large surveys, gauze pad or tampon based drag swabs being the most widely used for flock level detection often require different diluents (e.g. BPW) to collect samples and considerable amount of time (20–30 min./shed) [14,15]. Dust sampling is comparatively easier than drag swabbing and previously been used in a nationwide survey in Japan [16]. In this study Salmonella in enriched dust samples collected using settle plates could-be detected throughout the 22 weeks observation period following experimental infection and vaccination. Another study detected Salmonella in dust samples collected by drag swab samples or scraped dust samples from a caged-layer shed floor and found that Salmonella was constantly detectable in dust over the 26 weeks observation period following oral S. Typhimurium challenge and 3 doses of live Salmonella vaccine [4]. In another study, randomly collected litter materials or soil has been used for the detection of Salmonella in broiler farms [17]. Collection of such samples may under or over-estimate the presence of Salmonella due to the localised nature of these samples. Dust samples represent material dispersed and mixed in the air, and studies with other pathogens have demonstrated that location of settle plates within poultry houses does not influence the level of pathogen detected [18]. In fact, Groves et al. [9] describes that dust samples of the untreated unchallenged group separated by 6 m from the nearest challenged pen were positive at 8.5 and 12 weeks of age when the dust samples of challenged groups were also positive. In that study, drag swab samples were only positive in the control pen when birds were 18-week old, suggesting that testing of settled dust samples provides a useful complementary tool for Salmonella monitoring.
Compared to culture methods, PCR analysis of dust samples can reduce the turn-around time from 4–5 days to 1–2 days [19]. Detection of Salmonella from any given sample by culture prior to PCR analysis may reduce sensitivity [20]. In the present study enrichment of dust sample in BPW for 18 h increased the sensitivity of detection of Salmonella with 25/40 and 16/40 of samples positive for enriched and non-enriched samples respectively. This is consistent with other studies indicating that enrichment in BPW for 18–24 h followed by PCR detection can improve sensitivity of detection in faeces [19], chicken meat [20], feed and water [21], clinical samples [22] and environmental samples [22]. Thomason et al. [23] reported that BPW increased the detection of Salmonella by about 25% in absolute percentage terms from environmental samples. In this study, pre-enrichment of dust in BPW increased the recovery of Salmonella from 40% to 62.5%.
In this study, no difference was observed between pre-enriched samples extracted by boiling method and samples extracted by DNA extraction kit in the Salmonella detection pattern (P=1.00) and CFU count (P=0.94) using real-time PCR. Overall detection rates for Salmonella in dust was 62.5% by either method. The lower limits of detection of Salmonella in this study were 1.00 × 100 copies/reaction for the extraction kit and 4.85 × 100 for the boiling method. These were similar to previous reported detection rates in foodstuff [24,25]. De Medici et al. [11] compared four methods of DNA extraction from poultry samples pre-enriched in a broth media and reported boiling method as the preferred extraction method because of simplicity. Similarly, Sweeney et al. [26] compared three methods of DNA extraction from an automated broth culture system and found that boiling extraction is the most suitable method for real-time qPCR. Moreover, the boiling method was also found suitable in several studies for human faecal and oral microbiome analysis [27,28]. The present study indicates that the boiling method could be used to monitor Salmonella in poultry shed dust using PCR, however, when the quality of extracted DNA is paramount such as for high-throughput sequencing applications, the use of an extraction kit would be more appropriate.

This article was originally published in MethodsX 8 (2021) 101356. DOI of original article: 10.1016/j.vaccine.2020.12.044. This is an Open Access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Authors:
M. Ahaduzzaman
Peter Groves
The University of Sydney
Steve Walkden-Brown
University of New England
Priscilla Gerber
University of New England
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