Literature DB >> 28273152

Pre- and post-weaning scours in southeastern Australia: A survey of 22 commercial pig herds and characterisation of Escherichia coli isolates.

Lechelle K Van Breda1, Om P Dhungyel1, Andrew N Ginn2,3, Jonathan R Iredell2, Michael P Ward1.   

Abstract

Diarrhoeal diseases in piglets caused by Escherichia coli are responsible for substantial losses each year in the Australian pig industry. A cross-sectional survey was conducted (September 2013-May 2014) across 22 commercial pig herds located in southeastern Australia: NSW (n = 9); VIC (n = 10); and SA (n = 3), to estimate the prevalence of E. coli associated diarrhoea in pre- and post-weaned piglets and to identify key risk factors associated with E. coli disease. A questionnaire on management and husbandry practices was included. Faecal samples (n = 50 from each herd) were tested for the presence of β-haemolytic E. coli. Species level identification was confirmed by matrix-assisted laser desorption / ionisation time-of-flight mass spectrometry (MALDI-TOF/MS). ETEC virulence and enterotoxin genes (F4, F5, F6, F18, F41, STa, STb and LT) were screened for by multiplex PCR. This study assessed 60 potential risk factors for E. coli disease in post-weaned piglets, with 2 key factors-recent disease events and the presence of bedding, statistically associated with the presence of post-weaning scours. The prevalence of diarrhea in pre-weaned pens was 17% (16/93), compared with 24% (24/102) in post-weaned pens. The most prevalent β-haemolytic ETEC genes were F18 (32%) and STb (32%) but isolates were more likely to contain F4:STb (11 of 22 herds, 23%), than F18:STb (5 of 22 herds, 6%). These findings indicate that recent disease events that have occurred within the last 12 months, and by the use of bedding or not maintaining fresh bedding can have significant impacts on piglet diarrhoea.

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Year:  2017        PMID: 28273152      PMCID: PMC5342203          DOI: 10.1371/journal.pone.0172528

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Post-weaning diarrhoea caused by Escherichia coli remains a major disease that limits production in pig farms worldwide. Pathogenic E. coli–in particular enterotoxigenic E. coli (ETEC) may express fimbrial adhesins (F4 (K88), F5 (K99), F6 (987P), F18 and F41) [1] and enterotoxins, (heat-stable, STa and STb, Stx2e and heat-labile, LT) [2], that are associated with more severe disease in piglets [3, 4]. ETEC colonise the lower intestine via these fimbrial adhesins and the production of enterotoxins results in diarrhoea ("scouring") that can lead to death if left untreated. Australian pig herds regularly experience outbreaks of pre- and post-weaning diarrhoea attributed to E. coli, resulting in reduced growth rates, high medication costs and high morbidity and mortality [4]. Madec and Josse [5] used an ecopathological approach to identify 10 key ‘risk factors’ from among 515 environment factors measured in a study of diarrhoea incidence in 89 French pig herds. A longitudinal study on Western Australian pig herds [6, 7] assessing a comprehensive French risk factor protocol developed by Madec [8], failed to identify reliable risk predictors of post-weaning diarrhoea. It has been estimated that piglet scours cost the Australian pig industry more than $7 million each year [9] but there are scant information regarding the epidemiology of E. coli disease in modern pig production systems in Australia, or of management practices that contribute to or ameliorate disease outbreaks. Australian pig herd management strategies have evolved substantially over the last 20 years with weaners now commonly raised on deep litter (Eco shelters), and in large groups of >200 piglets per shelter. Other important changes include; sow group housing, phasing out of sow stalls, improvements in diet and nutrition, improvements in disease management through vaccines and strict biosecurity procedures, increases in productivity and an increase in the number of free range herds. It is therefore important to determine whether previously identified risk factors for post-weaning scours remain important and whether other factors need to be considered. Current estimates of the prevalence of pre- and post-weaned piglet scours in commercial pig farms in the major pig-raising area of southeastern Australia are lacking. Published studies on management practices and other factors that may contribute to outbreaks of post-weaning scours are also needed. The aim of the current study was to estimate the within-herd prevalence of pre- and post-weaning scours and to report the management practices–including current disease and biosecurity, environmental factors and reproductive practices, housing and herd management and their association with post-weaning scours in 22 representative pig herds across southeastern Australia.

Methods

Study design

The study was designed as a cross-sectional survey to estimate point prevalence of E. coli disease in piglets at the pen and herd levels. A total sample size of 22 herds was chosen, based on the available funding and ability to visit and sample all herds over a large geographical area during a relatively short time period. All animal sampling procedures and interactions were carried out in strict accordance with the recommendations made by The University of Sydney Animal Ethics Committee. The protocol was approved by The University of Sydney Animal Ethics Committee (Approval number: N00/7-2013/3/6002). Farms were identified via swine veterinarians and in addition, farms were recruited at the 2013 Bendigo Pig Fair, Victoria and by contacting farmers directly via industry membership. A preliminary questionnaire was conducted over the telephone to determine the owner/manager's willingness to participate in the study and the suitability of their herd (S1 File). For example, herds with less than 40 sows were not included because the number of piglets available for sampling would not meet the required sample size for inclusion in the study. All questions in the questionnaires were carried out in strict accordance with the recommendations made by The University of Sydney Human Ethics Committee. The protocol was approved by The University of Sydney Human Ethics Committee (Approval number: 2013/827).

Questionnaire

A semi-structured questionnaire was conducted once on-site face-to-face with the owner, manager or the leading farm hand at each farm (S2 File). It was used to gather information on current disease and biosecurity, environmental factors and reproductive practices, housing and herd management. The questionnaire took approximately 20 minutes to complete. Of the 40 questions, nine questions were structured as closed (answers limited to yes, no or occasionally), eleven were semi-closed (for example, age at weaning or number of pigs per pen) and 20 were open (for example, occurrence of recent diseases or feed company suppliers) [10, 11]. Two questions required observational and diagrammatical records to be made (as photography was not permitted), to document design and size of the pre- and post-weaning facilities and assist in developing a visual representation of the size, shape and design of the farrowing crate/pen and the weaner environment.

Sampling

A cross-sectional survey was conducted between September 2013 and May 2014 of 22 commercial herds located in southeastern Australia (Victoria, n = 10; New South Wales, n = 9; and South Australia, n = 3). Herds were classified based on location (state: VIC, NSW, SA) and size (small/medium 45–499 sows, large ≥500 sows). The aim was to collect faecal samples from piglets in the age group of one week prior to weaning and then the piglets that had been most recently weaned (3–6 weeks of age) on the day of the herd visit. In collecting samples from a pen, the aim was to represent the entire pen environment in terms of both scour and non-scour samples. Faecal samples were collected from each herd (10 samples from pre-weaned and 40 samples from post-weaned piglet pens depending on the size of the pen). If there were 20 or less piglets in a pen, then five samples were collected from the pen. If there were >20 piglets in a pen, then 10 samples were collected per pen. A total of 195 pens (93 pre- and 102 post-weaned) were sampled across 22 pig herds. Faecal samples (approximately 2 g) from individual faecal pats at separate collection points within the pen were transferred into sterile 5 mL tubes. During collection, the samples were categorised as clinical (scours) or non-clinical (normal) based on a faecal consistency score developed by Pedersen and Toft [12] with slight modifications; 1 = dry and hard, 2 = firm and hard, 3 = firm and shaped (normal), 4 = soft and wet, and 5 = watery/liquid (diarrhoea). Diarrhoea positive pens were categorised based on the isolation of one or more diarrhoea samples. Samples were kept on ice until they could be stored at 4°C in the laboratory, for up to a week. Samples were brought to room temperature (23°C) and a sterile 10 μL loop (Sarstedt) was used to homogenise the faecal sample and then it was streaked onto a Sheep Blood Agar plate (SBA) and incubated overnight aerobically at 37°C. The cultures were screened for β-haemolytic colonies (a cleared zone) on the SBA. Suspected β-haemolytic E. coli colonies were subcultured onto CHROMagar Oientation (CHROMagar™). Species identification was confirmed by matrix-assisted laser desorption / ionisation time-of-flight mass spectrometry (MALDI-TOF/MS) (Microflex LT MALDI BioTyper; Bruker Biosciences, Preston, VIC, Australia). Single pure colonies were cultured by transferring into 3 mL of sterile Buffered Peptone Water (BPW) (BD Difco™) and incubated aerobically overnight at 37°C. Then 500 μL of enriched culture was dispensed into sterile 1.5 mL screw capped tubes (Scientific Specialties) and stored at 4°C for up to a week until DNA extraction. To the remaining 2.5 mL of enriched culture, 80% glycerol was added and mixed well, before being stored at –80°C for further use. Sterile BPW (5 mL) was added to each of the remainder samples, mixed well and incubated aerobically overnight at 37°C for enrichment. To each of these enriched faecal samples, 80% glycerol was added and mixed well prior to long term storage at –80°C.

Molecular biology

Lysates were prepared by vortexing the samples and boiling at 100°C for 10 min. Samples were then centrifuged (2 min at 1000 x g) and 200 μL of supernatant transferred to a new tube and again centrifuged (10 min at 16,000 x g). The supernatant (200 μL) was used as a template in multiplex PCR before being stored at –20°C in 1.5 mL screw top tubes (Scientific Specialties). One haemolytic E. coli isolate from each sample was tested for the presence of virulence genes (F4, F5, F6, F18 and F41) and enterotoxin genes (STa (estA), STb (estB), Stx2e (stx2e) and LT (elt)) by multiplex polymerase chain reaction (PCR) [13-15]. DNA from pure cultures of the isolates was amplified by a multiplex PCR kit protocol (QIAGEN) with slight modifications (Table 1).
Table 1

Primers used to detect E. coli virulence and toxin genes in a survey of southeastern Australian pig herds.

Virulence attributesPrimer sequence (5’– 3’)Amplified product (bp)
ForwardReverse
F4 aGGTGATTTCAATGGTTCGATTGCTACGTTCAGCGGAGCG764
F5 aTGGGACTACCAATGCTTCTGTATCCACCATTAGACGGAGC450
F6 aTCTGCTCTTAAAGCTACTGGAACTCCACCGTTTGTATCAG333
F18 bGTGAAAAGACTAGTGTTTATTTCCTTGTAAGTAACCGCGTAAGC510
F41 aGAGGGACTTTCATCTTTTAGAGTCCATTCCATTTATAGGC431
STa aTCTTTCCCCTCTTTTAGTCAGACAGGCAGGATTACAACAAAG166
STb aATCGCATTTCTTCTTGCATCGGGCGCCAAAGCATGCTCC172
LT bGGCGACAGATTATACCGTGCCCGAATTCTGTTATATATGTC696
Stx2e cAATAGTATACGGACAGCGATTCTGACATTCTGGTTGACTC733

a [14],

b [13],

c [15]

a [14], b [13], c [15] A reaction volume of 20 μL was used for PCR, containing 2 μL of DNA template, 0.2 mM of each primer (1 μL), 2x QIAGEN Multiplex PCR Master mix (6 μL), 5x Q–Solution (3 μL) and 3–5 μL of nuclease-free water (QIAGEN Multiplex PCR Kit protocol). PCR conditions were 95°C denaturation for 15 min, 30 cycles of 94°C denaturation for 1 min, 53–58°C annealing for 1 min, 72°C extension for 1 min, and a final extension step of 72°C for 7 min. Amplified DNA was separated on 2% 1 x TBE agarose (Bioline) gel and measured with the molecular size marker (1013-bp ladder) 0.5 μg/μL of pUC Mix Marker, 8 (Fermentas), stained with ethidium bromide 0.5 μg/mL. DNA bands were observed under UV light using the Gel Doc XR Fluorescent Imaging System (Bio-Rad, Hercules, CA).

Statistical analysis

The data are collated in Excel (Microsoft, PC/Windows XP, 2010, USA) and descriptive statistical analysis was performed using Genstat 16th Edition (2000–2015 VSN International Ltd). Proportions were compared using the Mann-Whitney U-test or Kruksal-Wallis one-way ANOVA and all risk factors were categorised and analysed by Fisher’s exact test. Analysis of multiple predictors of pen-level post-weaning scours was performed using step-wise forwards logistic regression considering only those factors significant p<0.2 in univariate analysis and retaining only factors significant at p≤0.05 in the final model. Since pens were nested within a herd, a random effects term was included to account for lack of independence between pens within herd.

Results

Farm survey

Farms were classified into groups based on the state in which they were located. The mean herd size was 721 sows, with a wide range (from 45 to 20,000 sows per farm) so for the purpose of this study we classified farms into two groups, small/medium (45–499 sows) and large producers (≥500). The questionnaire data are categorised. Demographics, disease occurrence and biosecurity; weaner environment; herd reproductive strategies and weaner housing and husbandry practices of the surveyed herds are summarised in Tables 2 and 3 (S3 File). Up to 10% of the data are missing due to some farmers declining to answer all questions.
Table 2

Disease, biosecurity, environmental and reproductive management practices in 22 pig herds across southeastern Australia (Victoria, VIC; New South Wales, NSW; South Australia, SA) included in a survey of pre- and post-weaning scours.

StateFarm size (sows)
VariableCategoryVICNSWSA≤499≥500
Farms581102712372
Scours during sucklingYes / sometimes46982710368
No12120204
Scours during post-weaningYes / sometimes3084279744
No282602628
E. coli vaccine for sowsYes3587177861
No1423103710
Vaccination for sowsYes49982710371
No0120120
E. coli vaccine for suckersYes0210021
No58892712351
Vaccination for suckersYes1738213338
No417269034
E. coli vaccine for weanersYes0150150
No5084278972
Vaccination for weanersYes3928165726
No1171114746
Recent diseases (within the last 12 months)Yes306505738
No2845276634
Frequency weaner pens cleanedFrequently ≤9 weeks236404740
End of each batch ≥10 weeks2627276614
Disinfectant and pressure hosing used to clean weaner pensYes3329104725
No1120120
Size of weaner penSmall (1–15 piglets)0400400
Medium (16–199)3251163455
Large (≥200)2619114917
Bedding in suckers penYes4110150
No53992710871
Bedding in weaner penYes182717575
No4083106667
Type of beddingStraw60684
Straw and another type of bedding12011221
Other0270270
Housing type sampledConventional sheds4099108267
Conventional sheds and Eco shelters141117375
Outdoor/free range40040
FlooringAll inorganic5259216072
Organic6510570
Shed ventilationFair5687279872
Poor2230250
Farrowing systemAll in/all outa5094279972
Continuous flow8160240
Average weaning age≤21 days3111213726
≥22 days279968646
Weaner groups housed in batchesAge2653115633
Age and size031163710
Age, size and sex322703029
BreedLarge White x Landrace86205119
Large White x Landrace x Duroc1224102620
Other3824114033
Artificial inseminationYes54982710772
No40040
Use own boarsYes4455108623
No44363739
AI sourceOwn boars1211161821
AI company4259116551
Own boars and AI company0280280

a Refers to a batched farrowing system.

Table 3

Farm production, housing and disease herd management practices across 22 pig herds in southeastern Australia included in a survey of pre- and post-weaning scours.

StateFarm size (sows)
VariableCategoryVICNSWSA≤499≥500
Farms581102712372
Farm production typeIndoor conventional4061108267
Mixed (indoor and deep litter)144917375
Free range40040
Number of production sites13867171157
≥ 2202910851
Number of production buildings/Eco shelters1–512640760
≥ 64646274772
Size farm (acres)1–5003125275330
≥ 501177406031
Other livestock on farmYes46981110552
No1212161820
Types of other livestockSheep2553117118
Cattle980170
Sheep and cattle143701734
CropsYes3785117558
No1925164614
Types of other cropsWheat0160160
Wheat and another type of crop105103625
Other2718112333
Weaner feed typeCommercial (or makes own mix with commercial feed)50962711657
Own mill8140715
Weaner Feed Additives/AcidsYes4359217746
No155164626
Water typeBore/dam315804940
River/channel17140922
Town0126180
Combination101511360
Antibiotics added to waterYes4024114040
No1886168332
Temperature control in weaner pensYes5188109654
No722172718
Heaters for temperature control in weaner pensYes508881437
No8221910935
Cooling system (thermo-regulated)/ sprinklers for temperature control in weaner pensYes302109454
No2889272918
a Refers to a batched farrowing system. The majority of farms bred Landrace or Landrace x Large White pigs. Most farms were greater than 500 acres and the majority housed pigs in indoor conventional sheds, having six or more buildings or Eco shelters on one site. Most weaner pens were within conventional shed systems, although each farm was slightly different, with the most common flooring being inorganic such as concrete and plastic slatting. Most weaner pens did not contain bedding, (organic material such as barley, straw, sawdust, ricehulls) however straw with the addition of another type of bedding was commonly used in Eco shelters. Most sheds were more than 10 years old and open in design, most farms provided heaters as a source of temperature regulation to keep the weaners warm, but were less likely to provide a cooling source. The majority of farms followed the all in/all out production flow system, where all animals are removed from the accommodation, it is then cleaned and allowed to dry before new stock is moved into the space. The average weaning age ranged from 22 to 28 days and weaners were most commonly housed in medium sized groups of 16 to 199 piglets per pen/Eco shelter, based on age. The majority of farms have a cleaning protocol, 37% of these farms use pressure hosing with the addition of disinfectant to clean pens between batches of pigs. The most common weaner feed type was purchased from a diverse range of commercial suppliers (89%) versus owning a mill and making their own feed (11%). Most farms supplemented weaner diet with feed additives, such as acids, spray-dried blood plasma or whey from milk by-products. Generally water was supplied from bores and dams. A large proportion of farms (40%) routinely treated each batch of piglets with antibiotics added to the water at weaning, with amoxicillin the most common antibiotic choice. Pre- and post-weaning diarrhoea was constantly (or occasionally, within the last 12 months) experienced by most batches of pigs across the majority of farms. Nearly every farm (20 of 22 herds) had a vaccination program but half of the farms had experienced a recent disease outbreak within the last 12 months (the type and frequency of disease outbreaks varied between farms).

Risk factors

The presence of diarrhoea was assessed at a pen level. We determined that of the 60 variables collected, the data show 6 variables were associated with pen diarrhoea status (p<0.2). Only ≤5% of the data are missing and thus were available for inclusion in a multivariate model (Table 4). Weaner status (pre-, post-weaned) was included (p = 0.275) as a potential confounding variable.
Table 4

Results of univariate risk factor analysis for presence of diarrhoea at a pen level in a survey of 22 pig herds in southeastern Australia.

VariableCategoryNo diarrhoeaDiarrhoeaP-value
WeanedNo77160.275
Yes7824
Recent disease eventsNo92100.015
Yes6330
Post-weaning scours historyNo5150.171
Yes10435
Infeed additivesNo50220.184
Yes10518
In-water antibioticsNo98170.183
Yes5723
BeddingNo107150.037
Yes4825
Temperature controlNo4620.028
Yes10938
A forwards stepwise regression using the likelihood ratio to select variables (p<0.05) identified the best-fitting model (-2 log likelihood 174.3, Nagelkerke R2 0.179) to include recent disease and presence of bedding factors. Estimates of odds ratios were not confounded by weaner status (post-weaned vs. pre-weaned; <10% change in OR estimates) and the interaction between recent disease and bedding was statistically different. This model is shown in Table 5.
Table 5

Results of multivariate risk factor analysis for presence of diarrhoea at the pen level in a survey of 22 pig herds in southeastern Australia.

TermCoefficientSEP-valueOdds RatioLower 95% CIUpper 95% CI
Intercept-2.4960.364< 0.001
Recent disease
No01
Yes1.1830.4190.0054.3810.3622.005
Bedding
No01
Yes0.9630.3910.0143.7150.1971.729

Bacteriology

The causal agents of diarrhoea were assessed in further detail at an individual sample level. During the survey, a total of 1,105 faecal samples were collected from 195 pens (93 pre- and 102 post-weaned) across 22 pig herds. Every herd had at least one β-haemolytic E. coli isolated from one out of the 50 faecal samples collected (S4 File). The prevalence of diarrhoea in pre- and post-weaned piglet samples was 32% and 47%, respectively. The prevalence of diarrhoea in pre-weaned pens was 17%, compared to 24% in post-weaned pens. The mean and median farm-level prevalence of pre- and post-weaned pen diarrhoea were 39% and 29%, respectively, and it ranged from 0 to 100%. There was a significant difference (p = 0.0001) in the estimated prevalence of β-haemolytic E. coli between pre- and post-weaned piglet samples, 13% and 47%, respectively. β-haemolytic E. coli were present in 45% of diarrhea samples from 36 pens, (7 pre- and 29 post-weaned pens). The findings show that ETEC containing both an adhesin and an enterotoxin gene (capable of causing diarrhea) were more likely to contain both F4 and STb genes (present in 10 of 22 herds, Tables 6 and 7). However, the most prevalent single ETEC adhesin gene in β-haemolytic E. coli was F18 (32%) and the most prevalent enterotoxin gene was STb (30%), in 15 herds (Table 6). We also observed a higher association of β-haemolysis and F4:STb with diarrhoea samples than those containing F18:STb.
Table 6

ETEC virulence genes present in β-haemolytic E. coli isolates (n = 392) from a survey of 22 pig herds in southeastern Australia.

Pre-weanedPost-weaned
Virulence attributePrevalenceDiarrhoea associatedPrevalenceDiarrhoea associated
F41169833
F1814011321
F6114146
F500270
F410000
STa519520
STb12410636
LT1476231
Stx2e00102
Table 7

Farm presence of ETEC virulence genes present in β-haemolytic E. coli isolates (n = 22) in a survey of 22 pig herds in southeastern Australia.

Virulence attributePre-weanedPost-weaned
F4411
F18414
F613
F502
F4100
STa29
STb415
LT28
Stx2e03

Discussion

This study assessed 60 potential factors that could increase the risk of E. coli disease. In addition the prevalence of β-haemolytic ETEC E. coli in southeastern Australian pig herds was estimated. Only two key factors–recent disease events within the whole herd in the last 12 months and the presence of bedding, were significantly associated with the presence of diarrhoea in pens when a multiple logistical regression analysis was applied. A multitude of herd management practices could potentially impact recent disease events, including current disease status, poor infection control, low immunity within the herd, secondary infections, biosecurity, housing and reproductive practices, as well as a range of potentially unidentified environmental factors but these did not emerge in the most rigorous analysis, perhaps due to unmeasured confounders or insufficient statistical power. Furthermore, the continuous transfer of E. coli via faeces into the pen environment helps to maintain a stable bacterial population [16], contributing to the re-occurrence of disease events. Buddle et al. [6] found that applying the Madec and Josse [5] risk factor analysis to Australian conditions accurately reflected risk factors impacting piglets in the Australian environment but suggested that other risk factors were yet to be identified. Due to time and financial constraints, this study design could not include repeated measurements as performed by Buddle et al. [6] and Skirrow et al. [7] in order to determine if risk scores had increased or decreased. Additional risk factor variables from each farm were able to be recorded in order to include previously unidentified risk factors. The results from this study suggest the presence of bedding significantly contributed to increasing the risk of E. coli disease in post-weaned piglets. The majority of herds in this study did not have bedding in weaner pens but, if used, the most popular bedding was straw. E. coli is commonly used as an indicator organism for environmental faecal contamination [17], but E. coli survival in straw is unstudied. If E. coli can withstand low nutrient availability, wide temperature fluctuations and competition from other microflora and there is a constant supply of carbon, growth outside its primary host is possible [17, 18]. Therefore, E. coli could survive in faeces within an indoor pig pen, further circulating within the environment with the potential to cause disease in young pigs as a result of coprophagic or burrowing behaviours [19]. The provision of bedding has many perceived benefits, such as providing a source of heat, providing stimuli for piglets, minimising dust and absorbing faecal matter [20-22]. Generally bedding is changed at the end of each batch. Our results suggest that bedding could potentially be harbouring pathogenic bacteria and is not changed as often as required in order to reduce the incidence of disease. Previous studies have outlined some disadvantages of using straw, such as increased costs associated with labour, hygiene and incompatibility with manure drainage systems [21, 23]. The estimated cost of production by implementing changes to reduce E. coli risk factors based on a small pig herd could potentially save producers $1.50 per pig in non-feed costs, including increased bedding and labour expenses but decreased veterinary and medical costs. However, this saving would vary depending on the number of breeding sows, feed cost and performance of the herd for example, feed conversion rate [24-26]. In this study, the prevalence of diarrhoea in pre- and post-weaned piglet pens in commercial herds in southeastern Australia was estimated to be 17% and 24%, respectively. This suggests that diarrhoea is an underlying problem across many herds and is likely a substantial cause of economic loss and animal welfare issues. Diarrhoea in piglets can be transient but, this study shows that persistent post-weaning diarrhoea within the last 12 months influences the presence of diarrhoea within pens. In bivariate analysis, we observed a further four potential risk factors for piglet E. coli diarrhoea–temperature in weaner pens (thermostatically controlled versus no temperature control), a history of post-weaning scours (within the last 12 months), antibiotics added to the water supply and infeed additives (that may be the result of a causal relationship). The design of pig buildings varied between herds but the majority were open and exposed to temperature fluctuations and it was more common for buildings to have heating rather than cooling sources. Buddle et al. [6] suggested Australian pig buildings did not provide satisfactory environmental conditions for optimal pig health. These findings are supported in our study as it was found that absence of temperature control may be associated with the presence of diarrhoea in a pen–although this has not been reported in previous studies of pre-weaning [27] or post-weaning [7] diarrhoea. When piglets are weaned, the transition from the sow’s colostrum antibody-rich milk to solid pelleted feed can have substantial impacts on the piglet’s gastrointestinal tract in terms of physiology, microbiology and immunology [28-30]. Additives, such as spray-dried blood plasma, may play a role in altering the intestinal structure in piglets, often reducing post-weaning diarrhoea, and are a suitable alternative to antibiotics [31, 32]. This study suggests that the administration of antibiotics in water and infeed additives play a substantial role in increasing the occurrence of diarrhoea, therefore antibiotic usage and infeed additive concentrations may need to be re-evaluated. The presence of ETEC virulence genes is important for pathogenicity and clinical disease. For the purpose of this study, samples from both healthy and clinically-affected pens were screened for β-haemolytic E. coli to estimate the overall prevalence of pathogenic ETEC. It is common for healthy and clinically-infected piglets to show increased ETEC shedding after weaning [33] and for non-β-haemolytic E. coli to possess ETEC genes [14, 34] and may be due to numerous reasons such as the loss of virulence factors such as plasmid-encoded ST, resulting in a less virulent strain, or pig immunity due to maternal immunisation or prior infection. Our findings revealed the prevalence of β-haemolytic E. coli with a single ETEC gene versus both an adhesin and enterotoxin gene to be 70% (273/392) and 43% (167/273), respectively. This was slightly lower than ETEC prevalence levels reported in Queensland [13]. The enterotoxin gene Stx2e is commonly associated with edema disease. However, it has been recognised that some Shiga toxin producing E. coli (STEC) strains that possess Stx2e are capable of causing diarrhoea [4]. This study found Stx2e commonly occurred with the adhensin gene F18, which has been previously acknowledged in E. coli isolates from Australian piglets [34]. Although ETEC genes were present, unless they are being expressed they may have little impact on the piglets’ health. ETEC presence within the environment suggests that they have the potential to cause disease under suitable conditions. There are important implications for ETEC transmission from animals to humans, particularly since ETEC can also carry multi-drug resistance. Increased resistance levels have been shown in humans that come into direct contact with pigs such as abattoir workers [35] and presence of the same ESBL-producing E. coli in pigs and farmers from the same farm [36]. Further research is required to determine ETEC transmission from pigs to humans in an Australian context.

Conclusions

Diarrhoea has significant detrimental impacts on piglets, however the findings of this study suggest by reducing the incidence of disease in a herd within the last 12 months and minimising the use of bedding (or maintaining fresh bedding) piglet and herd health can be increased. There are many positive associations with improved piglet health, such as reduced antibiotic use and veterinary bills and growth in profit margins and productivity. A consistently healthy herd will also assist in sustaining a high food safety standard with positive implications for human consumption.

Questionnaire for recruiting participating Australian pig producers.

(PDF) Click here for additional data file.

Farm questionnaire on Australian pig herd management practices.

(PDF) Click here for additional data file.

Questionnaire data on Australian pig herd management practices.

(XLSX) Click here for additional data file.

ETEC virulence genes present in β-haemolytic E. coli isolated from Australian piglets.

(XLSX) Click here for additional data file.
  26 in total

1.  Intra- and inter-observer agreement when using a descriptive classification scale for clinical assessment of faecal consistency in growing pigs.

Authors:  Ken Steen Pedersen; Nils Toft
Journal:  Prev Vet Med       Date:  2010-12-23       Impact factor: 2.670

2.  Epidemiological studies of pig diseases: 2. Post-weaning diarrhoea and performance in Western Australian pigs.

Authors:  S Z Skirrow; J R Buddle; A R Mercy; F Madec; R R Nicholls
Journal:  Aust Vet J       Date:  1997-04       Impact factor: 1.281

3.  Influence of environmental factors on the onset of digestive disorders of the weaned piglet.

Authors:  F Madec; J Josse
Journal:  Ann Rech Vet       Date:  1983

4.  Cloning and sequencing of a Shiga-like toxin type II variant from Escherichia coli strain responsible for edema disease of swine.

Authors:  D L Weinstein; M P Jackson; J E Samuel; R K Holmes; A D O'Brien
Journal:  J Bacteriol       Date:  1988-09       Impact factor: 3.490

5.  Characterization of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli obtained from Danish pigs, pig farmers and their families from farms with high or no consumption of third- or fourth-generation cephalosporins.

Authors:  Anette M Hammerum; Jesper Larsen; Vibe D Andersen; Camilla H Lester; Timmy S Skovgaard Skytte; Frank Hansen; Stefan S Olsen; Hanne Mordhorst; Robert L Skov; Frank M Aarestrup; Yvonne Agersø
Journal:  J Antimicrob Chemother       Date:  2014-06-07       Impact factor: 5.790

Review 6.  Escherichia coli in postweaning diarrhea in pigs: an update on bacterial types, pathogenesis, and prevention strategies.

Authors:  John M Fairbrother; Eric Nadeau; Carlton L Gyles
Journal:  Anim Health Res Rev       Date:  2005-06       Impact factor: 2.615

7.  Effect of fishmeal replacement with spray-dried animal plasma and colistin on intestinal structure, intestinal microbiology, and performance of weanling pigs challenged with Escherichia coli K99.

Authors:  D Torrallardona; M R Conde; I Badiola; J Polo; J Brufau
Journal:  J Anim Sci       Date:  2003-05       Impact factor: 3.159

8.  Nutritional influences on some major enteric bacterial diseases of pig.

Authors:  John R Pluske; David W Pethick; Deborah E Hopwood; David J Hampson
Journal:  Nutr Res Rev       Date:  2002-12       Impact factor: 7.800

9.  Simulation of the economic impact of transmissible gastroenteritis on commercial pig production in Australia.

Authors:  B P Mullan; G T Davies; R S Cutler
Journal:  Aust Vet J       Date:  1994-05       Impact factor: 1.281

10.  Significance of heat-stable and heat-labile enterotoxins in porcine colibacillosis in an additive model for pathogenicity studies.

Authors:  Weiping Zhang; Emil M Berberov; Jessica Freeling; D He; Rodney A Moxley; David H Francis
Journal:  Infect Immun       Date:  2006-06       Impact factor: 3.441

View more
  7 in total

1.  Bayesian Network analysis of piglet scours.

Authors:  Benjamin J J McCormick; Lechelle K Van Breda; Michael P Ward
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

2.  Risk factor analysis, antimicrobial resistance and pathotyping of Escherichia coli associated with pre- and post-weaning piglet diarrhoea in organised farms, India.

Authors:  O R VinodhKumar; B R Singh; D K Sinha; B S Pruthvishree; Shika Tamta; Z B Dubal; R Karthikeyan; Ramkumar N Rupner; Y S Malik
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

3.  Escherichia coli and Salmonella spp. isolated from Australian meat chickens remain susceptible to critically important antimicrobial agents.

Authors:  Sam Abraham; Mark O'Dea; Shafi Sahibzada; Kylie Hewson; Anthony Pavic; Tania Veltman; Rebecca Abraham; Taha Harris; Darren J Trott; David Jordan
Journal:  PLoS One       Date:  2019-10-23       Impact factor: 3.240

4.  Mitochondrial and glycolytic extracellular flux analysis optimization for isolated pig intestinal epithelial cells.

Authors:  A F Bekebrede; J Keijer; W J J Gerrits; V C J de Boer
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

5.  Exploring the Cause of Diarrhoea and Poor Growth in 8-11-Week-Old Pigs from an Australian Pig Herd Using Metagenomic Sequencing.

Authors:  Tarka Raj Bhatta; Anthony Chamings; Soren Alexandersen
Journal:  Viruses       Date:  2021-08-13       Impact factor: 5.048

6.  Gut microbiome modifications over time when removing in-feed antibiotics from the prophylaxis of post-weaning diarrhea in piglets.

Authors:  Paola Cremonesi; Filippo Biscarini; Bianca Castiglioni; Carlo Angelo Sgoifo; Riccardo Compiani; Paolo Moroni
Journal:  PLoS One       Date:  2022-03-07       Impact factor: 3.240

7.  A new multidrug-resistant enterotoxigenic Escherichia coli pulsed-field gel electrophoresis cluster associated with enrofloxacin non-susceptibility in diseased pigs.

Authors:  M de Lagarde; G Vanier; G Desmarais; H-R Kohan-Ghadr; J Arsenault; J M Fairbrother
Journal:  J Appl Microbiol       Date:  2020-08-25       Impact factor: 3.772

  7 in total

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