Literature DB >> 32083117

Non-viable chicken embryos: an overlooked niche harbouring a significant source of multidrug resistant bacteria in the poultry production.

Ruwani Karunarathna1, Khawaja Ashfaque Ahmed1, Mengying Liu1, Chenfang Yu1, Shelly Popowich1, Kalhari Goonewardene1, Thushari Gunawardana1, Shanika Kurukulasuriya1, Ashish Gupta1, Lisanework E Ayalew1, Philip Willson2, Musangu Ngeleka3,4, Susantha Gomis1.   

Abstract

Antimicrobial resistance (AMR) is a global issue, posing a grave threat to the public, animal, and environmental health. The AMR surveillance at the level of the hatchery is crucial to develop an AMR control strategy in the poultry industry. The objective of this study was to investigate the AMR profiles of bacteria isolated from yolk material of non-viable broiler chicken embryos at hatch from commercial hatcheries in western Canada. Antimicrobial susceptibility testing was done using the Kirby-Bauer disk diffusion method focusing on Escherichia coli (n = 170) and Enterococcus (n = 256) species, which are commonly used as indicators of AMR evolution. E. coli isolates were resistant to tetracycline, ampicillin, amoxycillin-clavulanic acid, triple sulpha, ceftiofur, gentamycin, and spectinomycin at the rate of 52.9%, 50.6%, 40.0% 31.8%, 29.4%, 29.4%, 21.8% respectively. Among those, 37.1% of E. coli were multidrug resistant. The descending order of antimicrobial resistance of E. faecalis was; tetracycline (61.9%), ceftiofur (46.2%), bacitracin (43.9%), erythromycin (31.4%) and tylosin (27.4%). Multidrug resistance was detected in 40.4% of E. faecalis isolates, and 85.7% of E. faecium isolates. To the best of our knowledge, this is the first report on AMR surveillance of non-viable chicken embryos. Overall, the present study revealed that non-viable chicken embryos, an overlooked niche for AMR surveillance, harbour multidrug-resistant E. coli, and enterococci that can be a substantial source of superbugs in the environment. Our data also highlight the urgency of including non-viable chicken embryos in AMR surveillance programme to understand AMR dissemination and its control.
© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  AMR; Chicken embryos; antibiotics; hatchery; multi-drug resistance

Year:  2020        PMID: 32083117      PMCID: PMC7006802          DOI: 10.1080/23144599.2019.1698145

Source DB:  PubMed          Journal:  Int J Vet Sci Med        ISSN: 2314-4599


Introduction

Antimicrobial resistance (AMR) has become a serious threat to public, animal and environmental health [1,2]. AMR control is a global priority and the World Health Organization (WHO) has initiated a global action plan to mitigate the emergence and dissemination of AMR [1,2].The emergence of AMR is multifactorial and may include indiscriminate antimicrobial use and resistance gene transfer from one organism to another. The inappropriate and excessive antimicrobial use in farm animals has been suggested as one of the major causes of the emergence of multidrug-resistant superbugs [3]. Consumer awareness about the antimicrobial use in farm-animals and the potential of AMR development is dictating a trend of an increased market demand for organic and antibiotics-free animal products [4]. The European Union banned the vancomycin analogue, avoparcin, in 1997 and bacitracin, spiramycin, tylosin, and virginiamycin in 1999 for the purpose of prophylactic antimicrobial use in farm animals including poultry feed [5]. Although a reduction of vancomycin resistant enterococci (VRE) was observed in poultry products in the European Union following the ban on avoparcin since 1997, there has been no reduction of VRE observed in humans [5]. Moreover, the fluoroquinolone ban in the USA since 2006 as therapeutic use in the poultry industry, did not result in the reduction of ciprofloxacin resistant Campylobacter in poultry products [6]. Because of these complexities and poor understanding of AMR, concerted efforts are required to identify the potential sources of AMR in a variety of agricultural settings to develop an appropriate control measures [7]. Although, there is no direct evidence available, however literatures suggest that poultry is a potential source of AMR transmission to humans [8]. In commercial poultry production, AMR development and dissemination can occur at several stages of production, such as, at breeder level, at hatchery and at the production farm level. Most of the data on AMR in poultry were generated from the production farms [9] or from the retail poultry meat [10]. In the poultry industry, commercial hatcheries act as a link between breeder farms and the production farms. Recent studies suggest that the hatchery is a potential reservoir for antimicrobial resistant bacteria [2] and day-old chicks are a potential source of AMR in chicken farms [11]. The comparison of AMR data generated from hatchery samples versus AMR data obtained from poultry farms at the end of production cycle may provide important clue regarding AMR development and its dissemination in the poultry industry [12]. The bacterial contamination of hatching eggs can occur at breeder farm level, egg transport and storage, and at hatchery level [13]. Bacterial contamination of developing chicken embryos in hatcheries occurs in many possible ways including contamination of egg shells and penetration of bacteria via cracks in the egg shell, or due to thin egg shells [2,14]. Transmission of bacteria from hatching eggs to their progeny has been demonstrated for bacterial species such as Campylobacter and Salmonella [15,16]. Most of the studies related to AMR surveillance at the hatchery level have profiled fluff-derived bacteria [17] or day-old chicks [12]. Given that contaminated eggs explode during incubation [18], which may facilitate dissemination of AMR from dead embryos to healthy live embryos and ultimately reaching to humans through contaminated poultry. The contaminated non-viable chicken embryos have been an overlooked niche for AMR surveillance. Our recent study revealed that the majority of non-viable broiler chicken embryos examined in western Canadian hatcheries were co-infected with Enterococcus species and Escherichia coli [19]. Enterococcus species and E. coli colonizing the gut of animals are used as bacterial indicators to monitor the prevalence and dissemination of AMR between food animal species and humans [20]. Moreover, E. coli and Enterococcus species can cause significant economic loses to the poultry industry [21]. Hence, present study was designed to fill the knowledge gap by investigating AMR of non-viable chicken embryo using clinical microbiology technique [22]. To the best of our knowledge, this is the first report on AMR surveillance on non-viable chicken embryos in hatcheries.

Materials and methods

Bacterial isolates

E. coli (n = 170) and Enterococcus (n = 256) isolates i.e. [E. faecalis (n = 223), E. faecium (n = 21), Enterococcus avium (n = 5), Enterococcus gallinarum (n = 5) and Enterococcus casseliflavus (n = 2)] were recovered from yolk material of non-viable broiler chicken embryos at hatch (21 days of incubation), from three commercial broiler hatcheries in western Canada during 2013 and 2014 [19]. Bacterial swabs were cultured on 5% Columbia sheep blood agar (BA) (Oxoid Company, Napean, ON) and bacterial identification was done by matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) (Bruker Daltonics, Milton, ON) as previously described [23]. Bacterial isolates were stored in brain heart infusion (BHI) broth (DIFCO®, Detroit, MI) containing 20% glycerol (Thermo Fisher Scientific, Waltham, MA) at −80 C for further studies.

Antimicrobial susceptibility testing

Each bacterial isolate was streaked on 5% Columbia sheep BA and incubated at 37 C overnight and tested for antimicrobial susceptibility testing using the standard Kirby–Bauer disk diffusion method. Selection of disk concentration, test method and interpretation of zone diameter were done as recommended by the Clinical Laboratory Standards Institute (CLSI) [24,25]. E. coli (ATCC 25,922) and Staphylococcus aureus (ATCC 25,923) were used as reference strains for E. coli and Enterococcus species respectively. The following antimicrobial agents and disk potency were used: amoxycillin-clavulanic acid (AUG,30 μg), ampicillin (AMP,10 μg), apramycin (APR,15 μg), bacitracin (BAC, 10 IU), ceftiofur (CEF, 30 μg), chloramphenicol (CHL, 30 μg), ciprofloxacin (CIP, 5 μg), enrofloxacin (ENR, 5 μg), erythromycin (ERY, 15 μg), florfenicol (FLO, 30 μg), gentamicin (GEN, 10 μg), gentamicin [(120 μg, to determine high level resistance to aminoglycosides in Enterococcus species)], lincomycin (LIN, 2 μg), neomycin (NEO, 30 μg), penicillin G (PEN, 10 units), spectinomycin (SPE, 100 μg), tetracycline (TET, 30 μg), trimethoprim-sulphonamide (SXT, 1.25 μg), triple sulpha (SSS, 0.25 mg) and tylosin (TYL, 60 μg), vancomycin (VAN, 30 μg). The antimicrobials used in this study represented 10 classes; namely β-lactams (AUG, AMP, CEF, PEN), aminoglycosides (GEN, NEO, SPE), cyclic polypeptides (APR, BAC), phenicols (CHL, FLO), fluoroquinolones (CIP, ENR), lincosamides (LIN), macrolides (ERY, TYL), tetracyclines (TET), glycopeptides (VAN) and folate pathways inhibitors (SSS, SXT). The inhibition zone diameter of each antimicrobial agent was measured using the BIOMIC V3 − 2014-Microbiology Digital Image Analysis system (Giles Scientific Inc, Santa Barbara, California, USA). Inhibition zone diameters were used to categorize antimicrobial susceptibility of the isolate as susceptible, intermediate and resistant according to the CLSI recommendations except for sulphonamides, where the European Committee on Antimicrobial Susceptibility Testing (EUCAST) version 4.0 interpretive criteria were used [26]. Multidrug resistance was enumerated as acquired non-susceptibility to at least one agent in three or more antimicrobial classes [27]. Intrinsic AMR was disregarded in this enumeration.

Results

Antimicrobial resistance of E. coli

E. coli isolates were resistant to TET, AMP, AUG, SSS, CEF, GEN and SPE at the rate of 52.9%, 50.6%, 40.0%, 31.8%, 29.4%, 29.4% and 21.8% respectively. The descending order of AMR to the remainder of the antimicrobials were CIP (7.1%), NEO (7.1%), ENR (6.5%), APR (5.3%), FLO (3.5%), SXT (3.5%) and CHL (2.9%) (Figure 1). Multidrug resistance was seen in 63 of 170 (37.1%) E. coli isolates of which 17.1% (n = 29) of E. coli were resistant to three classes of antimicrobials, 15.9% (n = 27) of E. coli were resistant to four classes of antimicrobials and 4.1% (n = 7) of E. coli were resistant to five classes of antimicrobials (Figure 2). The intrinsic resistance of E. coli was noted for BAC (99.4%), LIN (99.4%), TYL (98.2%), VAN (97.7%), PEN (97.1%) and ERY (91.2%). The AMR profile of all E. coli isolates are shown in Tables 1 and 2. AMR phenotypes of E. coli, in descending order, were TET (23/170), AUG (R) + AMP(R) + CEF(R) + GEN(R) + SPE(R) + TET(R) + SSS (R) (9/170), AUG (R) + AMP (R) + CEF (R) + CIP (R) + ENR (R) + TET (R) + SSS (R) (8/170) and AUG (R) + AMP (R) + CEF (R) (8/170). Pan-resistance was not observed for E. coli but pan-susceptibility was observed in 18.82% isolates.
Figure 1.

Antimicrobial resistance profile of E. coli.

Figure 2.

(Panel A) Antimicrobial resistance profile of E. coli to each drug class and (panel B) indicates the multidrug resistance profile of E. coli.

Antimicrobial resistance profile of E. coli. Summary of resistance profiles of E. coli (n = 170) Antimicrobial resistance profile of E. coli. (Panel A) Antimicrobial resistance profile of E. coli to each drug class and (panel B) indicates the multidrug resistance profile of E. coli.

Antimicrobial resistance of Enterococcus species

All Enterococcus isolates were resistant to at least one antimicrobial agent. Antimicrobial resistance phenotypes of Enterococcus isolates, in descending order, were TET (73.4%), CEF (51.9%), BAC (42.6%), ERY (31.2%), TYL (30.1), NEO (27.7%), GEN (8.98%), SPE (8.98%), PEN (7.8%), SXT (7.4%), ENR (5.1%), AMP (2.7%), CHL (2.7%), VAN (1.9%), CIP (1.6%), AUG (0.4%) and FLO (0.4%) (Figure 3). Only 3.9% (10/256) of Enterococcus isolates were resistant to high concentration of GEN. Multidrug resistance was seen in 44.9% Enterococcus isolates of which 25.8%, 14.4%, 2.3%, 0.8% and 1.6% of Enterococcus isolates were resistant to three, four, five, six, and seven classes of antimicrobials, respectively (Figure 4). No pan-resistant or pan-susceptible Enterococcus isolates were observed. The intrinsic resistance of Enterococcus isolates were noted for APR (98.83%) and LIN (96.88%).
Figure 3.

Antimicrobial resistance profile of Enterococcus species. The descending order of resistance was seen for tetracycline, ceftiofur, bacitracin, erythromycin and tylosin

Figure 4.

(Panel A) Resistant profile of Enterococcus species to different classes of antimicrobials and (Panel B) Multidrug resistance profile of Enterococcus species

Antimicrobial resistance profile of Enterococcus species. The descending order of resistance was seen for tetracycline, ceftiofur, bacitracin, erythromycin and tylosin (Panel A) Resistant profile of Enterococcus species to different classes of antimicrobials and (Panel B) Multidrug resistance profile of Enterococcus species AMR profiles of E. faecalis and E. faecium were summarized in Table 3. The descending order of AMR of E. faecalis were; TET (72.6%), CEF (46.2%), BAC (43.9%), ERY (31.4%), TYL (27.4%), NEO (26.9%), GEN (10.3%), SPE (6.3%), CHL (3.1%), SXT (1.3%), VAN (1.8%), PEN (1.8%), ENR (2.7%), CIP (0.9%), AMP (0.4%), AUG (0.4%) and FLO (0.4%) (Figure 5). Only 6.3% (14/223) of E. faecalis isolates were resistant to high concentration of GEN. Multidrug resistance was seen in 40.4% of E. faecalis isolates of which 26.5% of E. faecalis isolates were resistant to three classes of antimicrobials, 11.2% of E. faecalis isolates were resistant to four classes of antimicrobials, 1.8% of E. faecalis isolates were resistant to five classes of antimicrobials and 0.9% of E. faecalis isolates were resistant to six classes of antimicrobials (Figure 5). The resistance profiles of all E. faecalis isolates are demonstrated in Table 4. The most common resistance phenotype of E. fecalis was TET (R) + BAC (R) (37/223) followed by TET (R) + CEF (R) (23/223), TET (12/223) and TET (R) + ERY (R) + NEO (R) + TYL (R) (12/223).
Table 3.

Antimicrobial resistance profile of E. faecalis and E. faecium.

Drug classDrugDisk potencyResistance percentage
E. faecalis
E. faecium
(n = 223)(n = 21)
β-lactamAUG30μg0.40
AMP10 μg0.428.6
PEN10G1.885.7
CEF30 μg46.295.2
PhenicolsCHL30 μg3.10
FLO30 μg0.40
FluoroquinolonesENR5 μg2.742.9
CIP5 μg0.914.3
MacrolidesERY15 μg31.438.1
TYL60 μg27.438.1
AminoglycosidesGEN10 μg10.34.8
NEO30 μg26.947.6
SPE100 μg6.333.3
TetracyclinesTET30 μg72.661.9
Folate pathways inhibitorsSXT1.25–23.75 μg1.366.7
Cyclic polypeptidesBAC10 IU43.942.9%
GlycopeptidesVAN30 μg1.80
Figure 5.

(Panel A) Antimicrobial resistance profile of E. faecalis and (Panel B) indicates Multidrug resistance profile of E. faecalis.

Table 4.

Summary of resistance profiles of E. faecalis (n = 223)

Resistance profile Number of isolates
TETBACCEFERYTYLNEO 1
TETBACCEFERYTYL  2
TETBACCEFNEOGEN  1
TETBACCEFGEN   2
TETBACCEF    6
TETBACGEN    1
TETBACERYTYLGEN  1
TETBACERYTYLNEO  1
TETBACERYTYL   6
TETBAC     37
TETCEFERYNEOTYL  8
TETCEFERYNEO   1
TETCEFGEN    5
TETCEFNEO    6
TETCEF     23
TET      12
TETERYTYL    7
TETERY     1
TETERYGENNEOTYL  1
TETERYNEOTYL   12
TETGEN     8
TETNEO     6
BACCEFERYNEO   2
BACCEFERYGEN   1
BACCEFERY    4
BACCEFNEO    2
BACCEF     5
BACERYNEOTYL   1
BAC      2
CEFERYTYLNEO   2
CEFERYTYL    6
CEFNEOGEN    1
CEFNEO     3
CEF      5
ERYTYL     2
ERYTYLNEO    1
AUGGENTET    1
AMPCEFENRPEN   1
CHLBACERYTETTYL  4
CHLBACERYENRTETTYLNEO1
CHLBACERYENRTETTYL 2
CIPCEFENRPEN   1
FLOCEFGENTETSXTVAN 1
PENCEFBACTET   1
PENCEFCIPENR   1
SPEBACNEOTYLERY  1
SPEBACCEFNEO   5
SPEBACCEF    4
SPEBACNEO    1
SPEBAC     3
SXTTETNEO    1
SXTTETNEOCEF   1
VANTYLTETNEOERYCEF 1
VANBACERYTETTYL  1
VANCEF     1
Other(Non-characterized)    6
Antimicrobial resistance profile of E. faecalis and E. faecium. Summary of resistance profiles of E. faecalis (n = 223) (Panel A) Antimicrobial resistance profile of E. faecalis and (Panel B) indicates Multidrug resistance profile of E. faecalis. The descending order of resistance of E. faecium was CEF (95.2%), PEN (85.7%), SXT (66.7%), TET (61.9%), NEO (47.6%), BAC (42.9%), ENR (42.9%), ERY (38.1%), TYL (38.1), SPE (33.3%), AMP (28.6%), CIP (14.3%) and GEN (4.8%). No E. faecium was found resistant to AUG, CHL, FLO and VAN (Figure 6). Multidrug resistance was seen in 85.7% of E. faecium isolates of which 19.0% of E. faecium were resistant to three classes of antimicrobials, 38.1% of E. faecium were resistant to four classes of antimicrobials, 9.5% of E. faecium were resistant to five classes of antimicrobials and 19.0% of E. faecium were resistant to seven classes of antimicrobials (Figure 6). The resistance profiles of all E. faecium isolates were shown in Table 5. The most common resistance phenotype was CEF (R) + NEO (R) + TET (R) + SXT (R) + PEN (R) (4/21).
Figure 6.

(Panel A) Antimicrobial resistance profile of E. faecium and (Panel B) indicates multidrug resistance profile of E. faecium.

Table 5.

Summary of resistance profiles of E. faecium (n = 21)

Resistance profileNumber of isolates
CEFNEOTETSXTPEN       4
AMPCEFENRPENSXTBACERYNEOTETSPETYL 2
AMPCEFENRPENSXT       2
CIPAMPBACCEFENRERYNEOPENSPETETSXTTYL1
CIPENRGENSXT        1
CIPAMPCEFENRERYPENSXT     1
BACCEFTETPENENRERYNEOSPESXTTYL  1
BACCEFTETPENSPE       1
BACCEFTETPENERYNEOTYL     1
BACCEFTETPENSPE       1
BACCEFTETPENENRERYTYL     1
BACCEF          1
CEFPENSXT         1
CEFSPETYL         1
CEFERYPENTYL        1
CEFNEOTETSXTPEN       1
Summary of resistance profiles of E. faecium (n = 21) (Panel A) Antimicrobial resistance profile of E. faecium and (Panel B) indicates multidrug resistance profile of E. faecium.

Discussion

The emergence of AMR is a serious threat to global health, and thus the WHO has recently declared a priority list of pathogens which need novel antibiotic development [28]. Multidrug resistance is a worldwide concern due to failures in treating infectious diseases. The resistance genes are often on mobile genetic elements, including plasmids, integrons, and transposons [29]. The resistance genes are transferred among bacteria via horizontal gene transfer, conjugation, transformation and transduction, which ultimately encodes for multidrug resistance [30]. The present study was designed to investigate the antimicrobial resistance profiles of E. coli and Enterococcus species isolated from non-viable chicken embryos, an overlooked niche concerning the emergence of multidrug-resistant bacteria. Our data showed a high degree of resistance of E. coli to β-lactam antimicrobials; AMP (50.6%) and AUG (40.0%). Our data in regards to AMP resistance is comparable with AMP resistance of E. coli isolated (43%) from poultry products in Canada by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) in 2016 [31]. A recent study has described the emergence of extended-spectrum β-lactamases (ESBLs)-encoding plasmids from E. coli isolates in poultry with a similar rate of prevalence as observed in humans which warrants regular monitoring of AMR in the broiler industry [32]. We observed a relatively high prevalence of CEF resistance in E. coli (29.4%) which justifies the voluntary withdrawal of this antimicrobial from poultry production in 2014 [31]. It would be interesting to study CEF resistance in E. coli from chicken embryo mortality a few years; hence, since CEF resistance of E. coli in poultry hatcheries may impose a risk of dissemination to humans. It has been reported that E. coli of poultry origin are closely related to E. coli-associated extra-intestinal infections in humans [33]. When compared to GEN resistance reported by CIPARS in poultry products (9%), it’s a higher prevalence in E. coli isolated in dead embryos [31]. CIPARS represents data of the overall Canadian poultry industry, which may under-represent this emerging ecological milieu in western Canada. However, both Canadian Antimicrobial Resistance Surveillance System (CARSS) and CIPARS have well-documented an increased trend in GEN resistance in E. coli isolates of poultry origin during 2004–2014 [34]. GEN is used in the poultry industry to reduce neonatal poultry mortality and for growth promotion [35]. Hence, we can speculate the association of GEN use and increased resistance in the poultry industry in western Canada. In our study, 52.9% of E.coli was TET resistant, which is comparable with CIPARS data as they have observed 50% of E. coli resistant to TET in 2016 [31]. This trend may be explained by the heavy use of TET in the poultry industry in Canada [36]. There are currently 38 different TET resistance genes described [37], and further investigation is needed to characterize these genes in isolates recovered in our study to determine the resistance mechanisms. We have seen 1.9% VRE in dead chicken embryos although VAN has not been used in the broiler chicken industry in Canada. The mean VRE increased from 6.2% in 2011 to 7.9% in 2014 in Europe. The frequency of VRE ranged from 0% (Estonia, Finland, Iceland, and Malta) to 45.1% (Ireland). In 2014, increasing trends of VRE were seen in Bulgaria, Croatia, Denmark, Hungary, Ireland, Italy, Slovakia, and United Kingdom from 2011 to 2014 [38]. A study conducted in British Columbia, Canada in 2010 investigating Enterococcus isolates obtained from faecal and caecal contents of commercial poultry, demonstrated that none of the enterococci were resistant to VAN [39]. Enterococci of foodborne origin were not identified as a direct cause of resistant enterococci in humans, but they could pose a risk in transfer of resistance determinants to human-adapted strains of the same genus or other genera, as shown in VAN resistance in S. aureus and TET and ERY resistance in Listeria monocytogenes [40-42]. The resistance of enterococci to TET (73.4%), BAC (42.6%) and TYL (30.1%) was remarkable in our study. It has also been suggested that commensal microbiota of poultry can be a reservoir of BAC resistance, and this BAC resistance can be readily transferable to E. faecalis in human [43]. Genes encoding resistance to TET, tetL and tetM, are frequently associated with ermB which encodes resistance to macrolides, lincosamides, streptograminB and quinupristin-dalfopristin. Since BAC is commonly used as a growth-promoting antibiotic in the Canadian poultry industry, resistance to BAC and other antibiotics mentioned above can be co-selected [43]. A recent study conducted in Asia looked at determining AMR of uropathogenic E. coli and APEC and found multidrug resistance in 98% of isolates where most of them were resistant to at least five antimicrobials tested [44]. Moreover, emerging extended-spectrum β-lactamases (ESBL) producing E. coli were resistant to aminoglycosides and fluoroquinolones [45]. Among them, a classic example of globally disseminated, multidrug-resistant E. coli strain sequence type (ST) 131 (ST131) which causes significant amounts of the urinary tract and bloodstream infections in humans [46].

Conclusion

In the present study, we have observed that chicken embryos harbour a significant number of multidrug-resistant E. coli and enterococci, revealing that this niche can be a substantial source of superbugs in the environment. The current antimicrobial resistance surveillance systems predominantly focus on monitoring resistance in poultry farms and processing plants. Embryonated eggs represent a critical niche that can reveal the nature of AMR that would be passed on to the production farms and ultimately to humans via the poultry products. Our data suggest that the screening of antimicrobial resistance, particularly at the level of embryonated eggs, is quintessential in AMR surveillance to understand AMR dissemination for developing appropriate control measures.
Table 1.

Antimicrobial resistance profile of E. coli.

Drug classDrugDisk potencyResistance percentage(n = 170)
β-lactamAUG30 μg40.0
AMP10 μg50.6
CEF30 μg29.4
PhenicolsCHL30 μg2.9
FLO30 μg3.5
FluoroquinolonesENR5 μg6.5
CIP5 μg7.1
AminoglycosidesGEN10 μg29.4
NEO30 μg7.1
SPE100 μg21.8
TetracyclinesTET30 μg52.9
Cyclic polypeptidesAPR15 μg5.3
Folate pathways inhibitorsSSS31.58 μg31.8
SXT1.25–23.75 μg3.5
Table 2.

Summary of resistance profiles of E. coli (n = 170)

Resistance profileNumber of isolates
AUGAMPCEFCIPENRGENSPETETSXTSSS2
AUGAMPCEFCHLFLOGENNEOTETSSS 1
AUGAMPCEFCHLFLOGENSPETETSSS 1
AUGAMPCEFCIPGENSPETETSSS  1
AUGAMPCHLFLOGENSPETETSSS  1
AUGCEFCHLFLOGENSPETETSSS  1
AUGAMPCEFGENSPETETSSS   9
AUGAMPCEFCIPENRTETSSS   8
AUGAMPCEFCHLFLOTETSSS   1
AUGAMPGENNEOTETSXTSSS   1
AUGAMPAPRCEFGENNEOTET   1
AUGAMPCEFGENSPESSS    3
AUGAMPGENSPETETSSS    3
AUGAMPCEFGENTETSSS    1
AUGAMPCEFCIPENRSSS    1
AUGAMPCEFFLOTETSSS    1
AUGAMPAPRCEFGENNEO    1
AUGAMPAPRCEFNEO     2
AUGAMPCEFGENSSS     1
AUGAMPGENNEOTET     1
AUGAMPGENTETSSS     1
AUGAMPTETSXTSSS     1
AUGAMPCEFTET      4
AUGAMPCEFGEN      1
AUGAMPCEFSPE      1
AUGAMPGENTET      2
AMPGENSPETET      2
AUGAMPSPESSS      1
AUGAMPTETSSS      1
AMPSPETETSSS      1
APRGENNEOSPE      1
GENSPETETSSS      5
GENSPETETSXT      1
AUGAMPCEF       8
AUGAMPTET       5
GENSPESSS       3
AMPGENTET       2
NEOTETSSS       2
AMPCEFGEN       1
AMPSPESSS       1
AMPSXTSSS       1
APRNEOTET       1
GENTETSSS       1
AMPTET        5
AUGAMP        2
AMPGEN        2
AMPAPR        1
APRNEO        1
TET         23
AMP         3
APR         1
Pan-susceptible        32
Other(Non-characterized)        12
  39 in total

Review 1.  Antibiotic resistance gene spread due to manure application on agricultural fields.

Authors:  Holger Heuer; Heike Schmitt; Kornelia Smalla
Journal:  Curr Opin Microbiol       Date:  2011-05-03       Impact factor: 7.934

2.  Effect of organic poultry purchase frequency on consumer attitudes toward organic poultry meat.

Authors:  Ellen Van Loo; Vincenzina Caputo; Rodolfo M Nayga; Jean-Francois Meullenet; Philip G Crandall; Steven C Ricke
Journal:  J Food Sci       Date:  2010-09       Impact factor: 3.167

3.  Characterisation and transfer of antibiotic resistance genes from enterococci isolated from food.

Authors:  Anja Hummel; Wilhelm H Holzapfel; Charles M A P Franz
Journal:  Syst Appl Microbiol       Date:  2006-03-23       Impact factor: 4.022

4.  Impact of feed supplementation with antimicrobial agents on growth performance of broiler chickens, Clostridium perfringens and enterococcus counts, and antibiotic resistance phenotypes and distribution of antimicrobial resistance determinants in Escherichia coli isolates.

Authors:  Moussa S Diarra; Fred G Silversides; Fatoumata Diarrassouba; Jane Pritchard; Luke Masson; Roland Brousseau; Claudie Bonnet; Pascal Delaquis; Susan Bach; Brent J Skura; Edward Topp
Journal:  Appl Environ Microbiol       Date:  2007-09-07       Impact factor: 4.792

5.  Prevalence and antimicrobial resistance of enterococcus species isolated from retail meats.

Authors:  Joshua R Hayes; Linda L English; Peggy J Carter; Terry Proescholdt; Kyung Y Lee; David D Wagner; David G White
Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

6.  Agriculture and Agri-Food Canada's research program on antimicrobial resistance.

Authors:  E Topp
Journal:  Can Commun Dis Rep       Date:  2017-11-02

7.  Increased Incidence of Enterococcal Infection in Nonviable Broiler Chicken Embryos in Western Canadian Hatcheries as Detected by Matrix-Assisted Laser Desorption/Ionization-Time-of-Flight Mass Spectrometry.

Authors:  Ruwani Karunarathna; Shelly Popowich; Morgan Wawryk; Betty Chow-Lockerbie; Khawaja Ashfaque Ahmed; Chenfang Yu; Mengying Liu; Kalhari Goonewardene; Thushari Gunawardana; Shanika Kurukulasuriya; Ashish Gupta; Philip Willson; Neil Ambrose; Musangu Ngeleka; Susantha Gomis
Journal:  Avian Dis       Date:  2017-12       Impact factor: 1.577

8.  Antibiotic resistance pattern of different Escherichia coli phylogenetic groups isolated from human urinary tract infection and avian colibacillosis.

Authors:  Ali Kazemnia; Malahat Ahmadi; Mahdi Dilmaghani
Journal:  Iran Biomed J       Date:  2014

9.  Antibiotic-resistant Escherichia coli from retail poultry meat with different antibiotic use claims.

Authors:  Gregg S Davis; Kara Waits; Lora Nordstrom; Heidi Grande; Brett Weaver; Katerina Papp; Joseph Horwinski; Benjamin Koch; Bruce A Hungate; Cindy M Liu; Lance B Price
Journal:  BMC Microbiol       Date:  2018-11-03       Impact factor: 3.605

Review 10.  Genomic islands: tools of bacterial horizontal gene transfer and evolution.

Authors:  Mario Juhas; Jan Roelof van der Meer; Muriel Gaillard; Rosalind M Harding; Derek W Hood; Derrick W Crook
Journal:  FEMS Microbiol Rev       Date:  2008-10-29       Impact factor: 16.408

View more
  2 in total

1.  Development of a wild-type Escherichia coli environmental bloom model to evaluate alternatives to formaldehyde fumigation in broiler chicken hatch cabinets.

Authors:  B D Graham; C M Selby; L E Graham; K D Teague; G Tellez-Isaias; B M Hargis; C N Vuong
Journal:  Poult Sci       Date:  2020-12-29       Impact factor: 3.352

2.  Development of an environmental contamination model to simulate the microbial bloom that occurs in commercial hatch cabinets.

Authors:  B D Graham; C M Selby; A J Forga; M E Coles; L C Beer; L E Graham; K D Teague; G Tellez-Isaias; B M Hargis; C N Vuong
Journal:  Poult Sci       Date:  2022-03-31       Impact factor: 4.014

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.