Literature DB >> 27350248

Phenotypic and genotypic characterization of Enterococcus cecorum strains associated with infections in poultry.

Beata Dolka1, Dorota Chrobak-Chmiel2, László Makrai3, Piotr Szeleszczuk4.   

Abstract

BACKGROUND: From the beginning of the 21(st) century Enterococcus cecorum has emerged as a significant health problem for poultry raised under intensive production systems. To obtain new insights into this bacterial species, we investigated 82 clinical isolates originating from different poultry flocks in Poland between 2011 and 2014.
RESULTS: Phenotypically, isolates from clinical cases showed ability to growth at low temperatures (4 °C, 10 °C), and differences in growth at 45 °C (74.4 %). Survival at high temperatures (60 °C, 70 °C) was observed for 15, 30 min. More than half of strains survived at 60 °C even after prolonged incubation (1 h), but none survived after 1 h at 70 °C. Total growth inhibition was observed on agar supplemented with tergitol or potassium tellurite. Relatively high number of isolates gave positive reactions for β-galactosidase (βGAL 80 %), Voges Proskauer test (60 %), less for β-mannosidase (17 %), glycogen and mannitol (12 %). The metabolic fingerprinting for E. cecorum obtained in Biolog system revealed ability to metabolise 22 carbon sources. Only 27/82 strains contained ≥ 1 virulence genes of tested 7, however 2.4 % isolates carried 6. Increased antimicrobial resistance was observed to enrofloxacin (87 %), teicoplanin (85 %), doxycycline (83 %), erythromycin (46 %). Most strains (75/82) showed multidrug resistance. The single isolate was resistant to vancomycin (VRE) and high level gentamicin (HLGR). Linezolid resistance among clinical isolates was not found. PFGE revealed diversity of E. cecorum from cases. It could be assumed that transmission of pathogenic strains between flocks regardless of type of production or geographical region may be possible.
CONCLUSIONS: Clinical infections in poultry caused by E. cecorum may indicated on new properties of this bacterial species, previously known as a commensal. Despite many common phenotypic features, differences were found among clinical isolates. Several, widely distributed pathogenic E. cecorum strains seemed to be responsible for infection cases found in different poultry types.

Entities:  

Keywords:  Chicken; Enterococcal spondylitis; Enterococcus cecorum; Genotyping; PFGE; Phenotyping

Mesh:

Substances:

Year:  2016        PMID: 27350248      PMCID: PMC4924287          DOI: 10.1186/s12917-016-0761-1

Source DB:  PubMed          Journal:  BMC Vet Res        ISSN: 1746-6148            Impact factor:   2.741


Background

First time Enterococcus cecorum was isolated from cecal flora of chickens and described as Streptococcus cecorum in 1983, thereafter well known as commensal in gastrointestinal tract of various mammals and birds [1]. On the other hand, Enterococcus cecorum belongs to opportunistic pathogens and may also play a role as etiological agent of diseases in humans (nosocomial infections) [2, 3], chickens [4], and racing pigeons [5]. Recently, this bacteria appears to be a new threat (“emerging pathogen”) to poultry industry worldwide [6-15]. E. cecorum has been increasingly recognized as a cause of enterococcal spondylitis (ES), previously called enterococcal vertebral osteoarthritis (EVOA) in chickens [12]. Disease outbreaks were diagnosed mostly in broiler chicken flocks raised under an intensive production system. Clinically affected birds suffered from locomotor problems due to compression of the spinal cord at the thoracic vertebrae resulting from E. cecorum induced osteomyelitis and due to femoral head necrosis (FHN) [6, 7, 9, 12, 13]. Disease outbreaks can lead to high morbidity, mortality, culling, carcass condemnations, and may result in severe economic losses within a short time [9]. Recently, poultry or domestic animals (cats, dogs) are thought to be a possible source for transmission leading to E. cecorum–associated septicaemia in humans [2, 3]. Various methods using conventional biochemical tests and molecular techniques have been commonly used for identification and typing enterococci [16-18]. Pulsed field gel electrophoresis (PFGE) is considered to be the “gold standard” for subtyping enterococci and has been used extensively for molecular epidemiological characterization of enterococcal outbreaks [19, 20]. The PCR assay based on specific amplification followed by sequencing and nucleotide sequence comparison of target genes (such as 16S ribosomal RNA, sodA, ddl, tuf, groESL) or tDNA-PCR have served for the genotypic identification of enterococci [21-23]. Despite of available literature biochemical and molecular analysis of E. cecorum strains with poultry origin isolated in Europe are still limited. Moreover, there is not enough data regarding the properties of isolates, usually referred as pathogenic for poultry [1, 7, 8, 10]. The purpose of this study was phenotypic characterization of clinical E. cecorum isolates associated with infections in poultry and investigation their genetic relatedness.

Methods

Bacterial isolates

Eighty two E. cecorum isolates of poultry-origin used in this study were obtained from archival bacterial collection deposited at Department of Pathology and Veterinary Diagnostics, or were obtained from clinical specimens submitted by veterinarians for routine diagnostic work to the Diagnostic Laboratory in Division of Avian Diseases, Faculty of Veterinary Medicine at the Warsaw University of Life Sciences-SGGW (Poland). Authors ensure that the ARRIVE guidelines were followed. Among 82 clinical strains collected between 2011 and 2014, 49 came from broiler chicken flocks (CB), 20 from broiler breeder flocks (BB), 10 from commercial layer flocks (CL), 2 from geese flocks (G) and 1 from turkey flock (T). According to adopted criteria in this study, one E. cecorum isolate represented one different flock in which clinical problems due to E. cecorum infection were reported by veterinarians on farms. Affected birds displayed a variety of clinical signs, however in all types of flocks the lameness, paralysis, hock sitting, weakness, pododermatitis, decreased water and food intake were usually noted. Subsequently, disease caused lower results of production, increased losses due to mortality and culling. Necropsies and pathological examinations revealed usually femoral head necrosis, (purulent) arthritis, fibrinous pericarditis, endocarditis, hepatitis and congested lungs. Characteristic osteomyelitis lesions at caudal thoracic vertebrae we found only in chicken flocks (mainly in CB). Isolates were recovered from tissue samples such as vertebral column, femoral heads, heart, liver, lungs or yolk sac, which were collected during necropsy.

Bacterial analysis

The tissue samples were inoculated onto Columbia agar with 5 % sheep blood (CA) (Graso, Poland) and agar plates with esculin (KAA, Biocorp, Poland; Enterococcosel Agar, Graso, Poland), then incubated at 37 °C for 24 h in a CO2-enriched atmosphere. Bacteria were identified as Enterococcus based on their phenotypic properties such as colonial morphology, hemolysis (on CA), Gram-staining, catalase production (using a 3 % H2O2), cytochrome oxidase production (OXItest, Erba Lachema s.r.o., Czech Republik), and esculin hydrolysis (Enterococcosel Agar, KAA). Pigment production was visually assayed by growing the bacteria on CA for 24 h and scraping off the growth with a white cotton swab. Motility was examined using Motility Test Agar (Graso, Poland). The ability to growth was estimated in 6.5 % NaCl (salt tolerance test) after 48 h at 37 °C, and on different media (Graso, Poland) (Table 2). Serological identification of Lancefield group was conducted by rapid latex agglutination method using Slidex Strepto Plus D (bioMérieux, France). Tests for E. cecorum growth were performed in BHI broth (Brain-heart infusion; bioMérieux, France) tubes preincubated at 4 °C, 10 °C, 45 °C for 24 h. Then cultures in BHI broth were spread onto CA and incubated at 37 °C. The growth response was assessed after 24 h and 48 h. The ability to survive at 60 °C, 70 °C was estimated for 15 min, 30 min, 1 h in BHI broth tubes, followed by incubation of inoculated CA plates. The results were recorded after 24 h and 48 h.
Table 2

Results of E. cecorum (n = 82) growth on different media

MediumObserved growth (YES/NO)Description of colonies of Enterococcus cecorum
Columbia Agar with 5 % Sheep Blood (CA)YESSmall, round, white-grey colonies with α-hemolysis
Columbia CNA Agar with 5 % Sheep BloodYESSmall, grayish colonies with α-hemolysis, resistant to two antibiotics colistin and nalidixic acid
Edwards Agar with 5 % sheep bloodYESBlue-grayish coloured colonies with α-hemolysis
Bile Esculin Azide Agar (Enterococcosel Agar)YESColonies beige with strong black halos
KAA agar (Kanamycine Esculin Azide Agar)YES (weak)Brown to black colonies and blackening zones around the colonies
Slanetz and Bartley Agar (with tetrazolium chloride)NO or poorRed, maroon colonies
TCC agar with tergitolNOTotal inhibition
Tellurite Agar (potassium tellurite)NOTotal inhibition

Biochemical tests

Identification to the species level based on biochemical characterization was performed by API rapid ID 32 STREP (bioMérieux, France) and on the basis of carbon source utilisation using Biolog system (Biolog Inc., Hayward, USA). Isolates (n = 13) were determined according to Biolog GP2 MicroPlates, which performed 95 discrete tests simultaneously and gave a characteristic reaction pattern (metabolic fingerprint). The MicroPlates were incubated at 37 °C and read visually after 4 h and 24 h. The metabolic fingerprint patterns were compared and identified using the MicroLog™ 4.20.05 database software.

Virulence factors

All 82 isolates were tested for the presence of seven virulence factors: asa1 (aggregation substance), gelE (gelatinase), hyl (hyaluronidase), esp (enterococcal surface protein), cylA (cytolisin), efaA (endocarditis antigen), ace (collagen-binding protein) according to Martín-Platero et al. [24], Jung et al. [5] using duplex PCRs (asa1/gelE, cylA/esp, efaA/ace) and single PCR (hyl). PCR reaction mix contained 12.5 μl DreamTaq PCR Master Mix (Thermo Fisher Scientific Inc., USA) 0.3 μl of each primer (50 pmol/μl), 4 μl DNA and PCR-clean water (added up to a volume of 25 μl). Thermocycler conditions were as follows: initial denaturation at 94 °C for 5 min, followed by 30 cycles: denaturation at 94 °C for 1 min, annealing at 56 °C for 1 min (55 °C for efaA/ace), extension at 72 °C for 1 min, followed by final extension step 72 °C for 10 min and a 4 °C hold. Amplification products (10 μl) were analyzed by 1.2 % agarose gel electrophoresis after ethidium bromide staining and visualized under UV light (UVP, USA). A 100-bp DNA ladder (Thermo Fisher Scientific Inc., USA) was used as a molecular size marker. Production of gelatinase was additionally determined using Difco Nutrient Gelatin (BD, USA) according to the manufacturer’s recommendations. The tubes inoculated with E. cecorum ATCC 43198, S. aureus ATCC 25923 (gelatinase positive), E. coli ATCC 25922 (gelatinase negative) and an uninoculated tube were used for quality control testing.

Antibiotic susceptibility

Susceptibility for 13 antimicrobial agents: amoxicillin/clavulanic acid (AUG 20/10 μg), ampicillin (AP 10 μg), penicillin (PG 10 μg), enrofloxacin (ENF 5 μg) tetracycline (TEC 30 μg), nitrofurantoin (NI 300 μg), doxycycline (DXT 30 μg), chloramphenicol (C 30 μg), erythromycin (E 15 μg), teicoplanin (T 30 μg), vancomycin (VA 30 μg), high level gentamicin (GM 120 μg) and linezolid (LZD 30 μg) was tested by Kirby-Bauer disk diffusion method and the results were interpreted according to Clinical and Laboratory Standards Institute guidelines [25]. The criteria for selection of antibiotics based on CLSI guidelines for Enterococcus spp. and on their practical significance for the clinical use. Among tested antibiotics, tetracycline, doxycycline, amoxicillin, enrofloxacin have been actually approved for use in poultry (erythromycin until 2014) and have practical relevance. Vancomycin resistance genes (vanA, vanB) were tested by PCR using primers and conditions previously reported [24]. Staphylococcus aureus ATCC 25923 (vancomycin susceptible), E. faecalis ATCC 51299 (vancomycin resistant), E. cecorum ATCC 43198 were used as controls.

Molecular identification

Rapid extraction of bacterial genomic DNA was carried out by using boiling method. PCR assay targeting sodA gene was performed for identification and determination the diversity of 82 E. cecorum strains [22]. PCR products were visualized after electrophoresis on agarose gel (2 %) by staining with ethidium bromide, then purified using GeneMATRIX PCR/DNA Clean-Up Purification Kit (EURx, Poland) and submitted for sequencing to commercial services (IBB PAN, Genomed, Poland). The sodA gene sequences were analyzed with NCBI BLAST. The genetic distances based on the partial sequences of sodA was calculated by the two-parameter method of Kimura by using the MEGA6, and the phylogenetic tree was constructed using the Neighbor-Joining method (NJ) with 1000 bootstrap replicates.

PFGE

The standard PFGE procedure was adapted from previously published studies with minor modifications [18, 26, 27]. The 82 E. cecorum strains were cultured overnight on CA and then suspended in sterile saline to obtain the density of 3.5 on McFarland scale and centrifuged 10 min. at 4000 rpm/min. The bacterial pellets were mixed with 150 μl Tris-EDTA buffer solution (10 mM Tris-HCl, 1 mM disodium EDTA, pH 8.0) and 150 μl liquid 2 % agarose (InCert Agarose, Lonza, Rockland, USA) and small discs were formed (20 μl). The solidified discs were incubated at 37 °C for 18 h in 1 ml of EC buffer (6 mM Tris-HCl pH 8.0, 1 M NaCl, 0.1 M EDTA, 0.2 % deoxycholate, 0.2 % sarkosyl) containing 10 mg lysozyme (A&A Biotechnology, Poland), and 0.02 mg RNase A (Thermo Fisher Scientific Inc., USA). DNA discs were washed 3 times in 5 ml EBS solution (0.5 M EDTA pH 9.0, 1 % sarkosyl) and incubated overnight at 50 °C in 1 ml EBS solution containing 1 mg of proteinase K (ESP buffer) (A&A Biotechnology, Poland). Then the discs were washed 4 times (each time upside down for 30 times at room temperature) with 10 ml TE buffer (10 mM Tris, 1 mM EDTA, pH 8.0) and stored in 1 ml TE buffer at 4 °C. Subsequently, each disc was pre-incubated in 100 μl restriction buffer for 30 min at room temperature. The agarose discs were digested with SmaI (20 U/μl; Fermentas, Lithuania) overnight (at 37 °C). The restriction fragments were separated by clamped homogenous electric field (CHEF) electrophoresis with a CHEF-DR II System (Bio-Rad Laboratories, USA) in a 1.2 % (w/v) agarose gel using pulse time at 0.5 s followed by 35 s at 6 V/cm and temperature 14 °C for 24 h [17]. Afterwards the gel was stained with ethidium bromide for 30 min, then washed in distilled water for 30 min, photographed under UV light and documented in the system VersaDoc (Bio-Rad Laboratories, USA). Lambda Ladder PFG marker (New England Biolabs Inc., USA) was used as molecular size marker. Gel images were analyzed by Gel Compar II version 6.6 (Applied Maths, Belgium) and cluster analysis was performed by UPGMA using dice similarity coefficient with optimization set at 1 % and position tolerance at 1 %. Isolates were clustered using an 80 % homology cut-off, above which strains were considered to be closely related and assigned to the same PFGE type [19].

Results

Phenotypic characterization

Table 1 shows results of conventional tests and effects of different temperatures on the growth and survival of E. cecorum strains. Bacterial growth was characterized on 7 different microbiological media (Table 2).
Table 1

Test or characteristic for E. cecorum isolates (n = 82)

Test or characteristic E. cecorum isolates from clinical cases
Hemolysisα (strong)
Gram-stainingGram-positive
Cell morphologyovoid cocci (single, double or short chains)
Catalase-productionnegative
Oxidase-productionnegative
Yellow pigment-productionnegative
Lancefield group Dnegative
Motilitynegative
Halotolerance (6.5 % NaCl)limited growth
Growth at:% positive (n)
 4 °C100 % (82)
 10 °C98.8 % (81)
 45 °C74.4 % (61)
Survival at 60 °C for:% positive (n)
 15 min76.8 % (63)
 30 min64.6 % (53)
 1 h54.9 % (45)
Survival at 70 °C for:% positive (n)
 15 min36.6 % (30)
 30 min15.9 % (13)
 1 h0 % (0)
Test or characteristic for E. cecorum isolates (n = 82) Results of E. cecorum (n = 82) growth on different media The strains were identified as E. cecorum with the API rapid ID 32 STREP and Biolog system. API revealed perfect identification profile (ID 99.9 %, T 0.83) for 40 (49 %) E. cecorum strains, very good identification (ID 99.9 %, T 0.67) for 21 (26 %) strains, good identification (ID 99.8 %, T 0.38) for 2 (2 %) strains, doubtful profile (99.9 %, T 0.4) for 16 (20 %) strains, and unacceptable profile for 3 (4 %) strains. Among perfect identification profiles for E. cecorum, the code 6717–4607–131 was recorded the most often. Based on the analysis of 82 obtained profiles in API (each with 32 tests), we defined one common code 2317–4607–111 for clinical strains which gives perfect identification as E. cecorum with the API database. Biochemical results obtained in API were presented in Table 3. The vast majority of isolates was positive in tests for βGLU, RAF, SAC, MβDG, CDEX (100 %), αGAL, RIB, TRE (99 %), MAL, MEL (98 %). All isolates were completely negative for ADH, APPA, HIP, PYRA, LARA. The discrepancies among tested and control isolates or recommendations for E. cecorum were noted in 6 tests: βGAR, MAN, VP, βGAL, GLYG, βMAN.
Table 3

Percent of positive reactions (%) in rapid ID 32 STREP (bioMérieux, France) for clinical E. cecorum isolates in this study (n = 82) compared with standard isolates (manufacturers recommendations) and control strain (E. cecorum ATCC 43198)

Parameter% Positive reactions in rapid ID 32 STREP for Enterococcus cecorum
Clinical isolates (this study) % (n)Manufacturers recommendations %Reference strain E. cecorum ATCC 43198 (+/-)
 ADH0 (0)0-
 βGLU100 (82)100+
 βGAR73 (60)11-
 βGUR94 (77)88+
 αGAL99 (81)100+
 PAL71 (58)94+
 RIB99 (81)98+
 MAN12 (10)38-
 SOR10 (8)11-
 LAC88 (72)100+
 TRE99 (81)100+
 RAF100 (82)88+
 VP60 (49)66-
 APPA0 (0)0-
 βGAL80 (66)33-
 PYRA0 (0)0-
 βNAG82 (67)88+
 GTA89 (73)94+
 HIP0 (0)1-
 GLYG12 (10)27-
 PUL4 (3)0-
 MAL98 (80)100+
 MEL98 (80)98+
 MLZ88 (72)55+
 SAC100 (82)100+
 LARA0 (0)0-
 DARL1 (1)0-
 MβDG100 (82)98+
 TAG65 (53)64+
 βMAN17 (14)41-
 CDEX100 (82)66+
 URE6 (5)0-

ADH (arginine dihydrolase), βGLU (β-glucosidase), βGAR (β-galactosidase), βGUR (β-glucuronidase), αGAL (α-galactosidase), PAL (alkaline phosphatase), RIB (ribose), MAN (mannitol), SOR (sorbitol), LAC (lactose), TRE (trehalose), RAF (rafinose), VP (Voges Proskauer, aceton production), APPA (alanyl-phenylalanyl-proline arylamidase), βGAL (β-galactosidase), PYRA (pyroglutamic acid arylamidase), βNAG (N-acetyl-β-glucosaminidase), GTA (glycyl-tryptophan arylamidase), HIP (hydrolysis of hipurate), GLYG (glycogen), PUL (pullulane), MAL (maltose), MEL (melibiose), MLZ (melezitose), SAC (saccharose), LARA (L-arabinose), DARL (D-arabitol), CDEX (cyclodextrin), MβDG (methyl-βD-glucopyranoside), TAG (tagatose), βMAN (β-mannosidase), URE (urease)

Percent of positive reactions (%) in rapid ID 32 STREP (bioMérieux, France) for clinical E. cecorum isolates in this study (n = 82) compared with standard isolates (manufacturers recommendations) and control strain (E. cecorum ATCC 43198) ADH (arginine dihydrolase), βGLU (β-glucosidase), βGAR (β-galactosidase), βGUR (β-glucuronidase), αGAL (α-galactosidase), PAL (alkaline phosphatase), RIB (ribose), MAN (mannitol), SOR (sorbitol), LAC (lactose), TRE (trehalose), RAF (rafinose), VP (Voges Proskauer, aceton production), APPA (alanyl-phenylalanyl-proline arylamidase), βGAL (β-galactosidase), PYRA (pyroglutamic acid arylamidase), βNAG (N-acetyl-β-glucosaminidase), GTA (glycyl-tryptophan arylamidase), HIP (hydrolysis of hipurate), GLYG (glycogen), PUL (pullulane), MAL (maltose), MEL (melibiose), MLZ (melezitose), SAC (saccharose), LARA (L-arabinose), DARL (D-arabitol), CDEX (cyclodextrin), MβDG (methyl-βD-glucopyranoside), TAG (tagatose), βMAN (β-mannosidase), URE (urease) All of examined isolates were identified as E. cecorum in Biolog system (index: probability 91.7 %, similarity 0.806). The metabolic fingerprinting for E. cecorum was showed in Fig. 1. All of the examined isolates were able to metabolise 22 carbon sources (α-cyclodextrin, dextrin, N-acetyl-D-glucosamine, N-acetyl-D-mannosamine, arbutin, D-cellobiose, D-fructose, D-galactose, gentiobiose, α-D-glucose, maltose, maltotriose, D-mannose, D-melibiose, D-psicose, D-raffinose, salicin, stachyose, sucrose, D-trehalose, pyruvic acid methyl ester, adenosine). Not all of examined isolates were able to metabolise 14 carbon sources: amygdalin, D-melezitose, β-methyl-D-glucoside, inosine, thymidine, uridine (metabolised by 92.3 % strains), α-D-lactose (84.6 %), D-ribose (76.9 %), lactulose, palatinose (69.2 %), 2’-deoxy-adenosine (61.5 %), adenosine-5’-monophosphate, uridine-5’-monophosphate (53.8 %), β-methyl-D-galactoside (15.4 %). Further 59 carbon sources present in the GP2 microplate were not utilised by E. cecorum.
Fig. 1

Percent of positive profiles for Enterococcus cecorum in Biolog GP2 MicroPlate™

Percent of positive profiles for Enterococcus cecorum in Biolog GP2 MicroPlate™ Of all 82 E. cecorum strains, 22 (26.8 %) were positive for asa1, 21 (25.6 %) for gelE, 12 (14.6 %) for ace, 11 (13.4 %) for efaA. The cylA and esp PCR amplification yielded positive results in 4 (4.9 %) and 2 (2.4 %) E. cecorum strains. The hyl gene was not detected in any strain. The isolates from CB were positive for asa1 (24.5 %), gelE (22.4 %), ace (14.3 %), efaA (14.3 %), cylA (2.1 %). The isolates from BB were positive for asa1 (20 %), gelE (20 %), ace (15 %), esp (10 %), cylA (10 %). The isolates from CL were positive for asa1 (60 %), gelE (60 %), efaA (20 %), ace (20 %). None of 7 virulence factors was found in isolates from G and T flocks. Most of virulence-gene positive isolates (11; 13.4 %) contained 2 of tested 7 virulence genes, then 6 (7.3 %) E. cecorum contained 4 virulence genes, 5 (6.1 %) harbored 1 virulence gene, while 3 (3.7 %) carried 3 virulence genes. In two isolates (2.4 %) 6 virulence genes were identified. None of isolates carried 5 or 7 virulence genes. Phenotypically, non of isolates produced gelatinase despite being gelE-positive in PCR. One (0.82 %) out of the 82 clinical E. cecorum was susceptible to 13 antibiotics tested, the rest were resistant to one or more antibiotics (Table 4). All isolates were susceptible to amoxicillin/clavulanic acid (AUG) and penicillin (PG), nitrofurantoin (NI), and linezolid (LZD). The majority of isolates were susceptible to ampicillin (AP), and high level gentamicin (GM) (n = 81; 99 %), chloramphenicol (C) (n = 79; 96 %), vancomycin (VA) (n = 75; 91 %). The lower level susceptibility was to erythromycin (E) (n = 42; 51 %), tetracycline (TEC) (n = 24; 29 %), teicoplanin (T) and doxycycline (DXT) (n = 11; 13 %). Most isolates noted intermediate susceptibility to TEC (n = 53; 65 %) with 29 % susceptible and 6 % resistant. None of clinical E. cecorum isolates was susceptible to enrofloxacin (71 resistant isolates). A high percentage of antimicrobial resistance was also observed to teicoplanin (T) (n = 70; 85 %), and doxycycline (DXT) (n = 68; 83 %). Linezolid resistance among E. cecorum isolates was not found. Of the vancomycin resistance genes tested by PCR, vanA gene was present in one strain, vanB gene was not detected.
Table 4

Antibiotics resistance patterns of E. cecorum strains isolated from clinical cases of different bird species

Antibiotics (n, number of antibiotics)% (n) of resistant isolates
ENF/E/T/DXT/TEC (5)2.5 (2)
ENF/E/T/DXT (4)33.3 (27)
ENF/T/DXT/TEC (4)1.2 (1)
ENF/T/DXT/AP (4)1.2 (1)
ENF/T/DXT (3)33.3 (27)
T/E/DXT (3)4.9 (4)
ENF/E/T (3)2.5 (2)
ENF/E/GM (3)1.2 (1)
ENF/DXT/VA (3)1.2 (1)
T/DXT (2)6.2 (5)
ENF/E (2)2.5 (2)
ENF/TEC (2)1.2 (1)
T/TEC (2)1.2 (1)
ENF (1)7.4 (6)
01.2 (1)

Ampicillin (AP 10 μg), enrofloxacin (ENF 5 μg), tetracycline (TEC 30 μg), Doxycycline (DXT 30 μg), erythromycin (E 15 μg), teicoplanin (T 30 μg), Vancomycin (VA 30 μg), high level gentamicin (GM 120 μg)

Antibiotics resistance patterns of E. cecorum strains isolated from clinical cases of different bird species Ampicillin (AP 10 μg), enrofloxacin (ENF 5 μg), tetracycline (TEC 30 μg), Doxycycline (DXT 30 μg), erythromycin (E 15 μg), teicoplanin (T 30 μg), Vancomycin (VA 30 μg), high level gentamicin (GM 120 μg) The obtained sequences sodA gene fragment showed similarity to E. cecorum (BLAST database) and allowed for identification strains. Dendrogram showed the genetic similarity between reference strain of E. cecorum and clinical isolates based on the sodA gene sequences (Fig. 2). Phylogenetic analysis supported the separation of clinical isolates into three main groups (A, B, C). Genetic distances between groups ranged from 0.00 to 0.04 (Table 5). The group A comprised 69 strains (CB n = 43, BB n = 15, CL n = 10, G n = 1) and had one subgroup (A’) with 5 strains (BB n = 4, CB n = 1). Five CB isolates were clustered together in the group B, and three isolates (BB, G, T) in the group C (all isolates from 2014). Among all groups, the group C revealed the highest values of genetic distance with B group (0.04) and with reference strain (0.03).
Fig. 2

Phylogenetic tree constructed using the Neighbor-Joining algorithm to evaluate the distance between partial sodA gene sequences of 82 clinical Enterococcus cecorum poultry-origin strains and E. cecorum reference strain (ATCC 43198). The bootstrap values (1000 replicates) are reported as percentage greater than 60 %. The evolutionary distances were computed using the Kimura 2-parameter method and are in the units of the number of base substitutions per site. Evolutionary analyses were conducted in MEGA6

Table 5

Kimura 2-parameter genetic distances between groups of clinical E. cecorum (A, A’, B, C) and reference strain (ATCC 43198)

12345
1. A
2.A’0.00
3.B0.000.01
4.C0.030.040.03
5.ATCC (43198)0.000.000.000.03
Phylogenetic tree constructed using the Neighbor-Joining algorithm to evaluate the distance between partial sodA gene sequences of 82 clinical Enterococcus cecorum poultry-origin strains and E. cecorum reference strain (ATCC 43198). The bootstrap values (1000 replicates) are reported as percentage greater than 60 %. The evolutionary distances were computed using the Kimura 2-parameter method and are in the units of the number of base substitutions per site. Evolutionary analyses were conducted in MEGA6 Kimura 2-parameter genetic distances between groups of clinical E. cecorum (A, A’, B, C) and reference strain (ATCC 43198) The PFGE analysis (based on >80 % similarity index) of 82 clinical E. cecorum isolates exhibited 21 pulsotypes (A-U) with 60 strains (41 CB, 10 BB, 8 CL, 1 G) (Table 6, Fig. 3). The highest degree of band similarity (>90 %) was demonstrated in pulsotype B (with two CB isolates) and in pulsotype S (with G and CB isolate). Pulsotype M was the predominant type, and included 8 isolates (8/60, 13.3 %), then E, L, T pulsotypes (each included 4 isolates). However, 11 of the 21 pulsotypes included only 2 isolates. Twenty isolates (20/60, 33.3 %) representing CB flocks (20/41; 48.8 %), were distributed among 8 pulsotypes: A, B, C, D, P (each 3.33 %), F, K (each 5 %), L (6.6 %). The majority of BB isolates (7/10, 70 %) were clustered with CB isolates (13) in distinct 6 pulsotypes (E, G, I, M, Q, R). Among isolates representing CL flocks (8/60, 13.3 %), three of these (3/8, 37.5 %) were clustered in one profile (L). Three pulsotypes (H, N, O) were created by clustering both CB (5) and CL (3) isolates. Generally, no clear temporal and geographical clustering was visible, but with the exceptions of 7 pulsotypes (A, D, I, L, M, P, U).
Table 6

Twenty one PFGE profiles (A-U) of clinical isolates E. cecorum derived from poultry in Poland between 2011-2014

PulsotypePoultry typeNo. of strainYearPoland’s voivodeshipNumber of isolates of each pulsotype% Similarity (>80 %)
ACB762014Greater Poland284.2
CB392014Greater Poland
BCB322014Greater Poland292.3
CB312013Świętokrzyskie
CCB32011Greater Poland284.2
CB232012Silesian
DCB802014Masovian281.8
CB572014Masovian
EBB602014Warmian-Masurian485.7
CB522014Pomeranian
CB472014Greater Poland
CB272013Greater Poland
FCB812014Masovian384.2
CB532014Pomeranian
CB342014Greater Poland
GBB462014Masovian287.0
CB22011Greater Poland
HCL442014Podlaskie284.6
CB282013Greater Poland
ICB822014Masovian281.2
BB662014Opolskie
JBB672014Masovian380.1
BB482014Masovian
CL42011Greater Poland
KCB422014Pomeranian380.8
CB402014Pomeranian
CB212012Warmian-Masurian
LCB702014Masovian484.3
CB622014Masovian
CB612014Masovian
CB202014Masovian
MCB772014Kuyavian-Pomeranian882.1
CB562014Greater Poland
CB352014Greater Poland
CB252014Pomeranian
CB582014Pomeranian
CB752014Lodzkie
BB512014West Pomeranian
BB552014West Pomeranian
NCB682014Masovian384.0
CL652014Masovian
CB132011Greater Poland
OCB302013Masovian381.8
CB192011Świętokrzyskie
CL102011Greater Poland
PCB782014Greater Poland286.7
CB372014Greater Poland
QBB452014West Pomeranian281.3
CB112011Greater Poland
RBB712014Masovian281.5
CB142011Greater Poland
SG292013Greater Poland290.3
CB222012Pomeranian
TBB592014Warmian-Masurian484.1
CL62011Greater Poland
CB162011Greater Poland
CB242012Masovian
UCL12012Greater Poland387.0
CL52012Greater Poland
CL72011Greater Poland
Fig. 3

Results of pulsed field gel electrophoresis (PFGE) examination of Enterococcus cecorum clinical isolates. Dendrogram based on Dice coefficient with 1 % position tolerance. Cut-off value of 80 % similarity was used to assign the pulsotypes

Twenty one PFGE profiles (A-U) of clinical isolates E. cecorum derived from poultry in Poland between 2011-2014 Results of pulsed field gel electrophoresis (PFGE) examination of Enterococcus cecorum clinical isolates. Dendrogram based on Dice coefficient with 1 % position tolerance. Cut-off value of 80 % similarity was used to assign the pulsotypes

Discussion

In order to characterize clinical E. cecorum, we investigated 82 strains isolated from clinical samples originated from different poultry flocks (1 isolate per flock). Our observations were consistent with reports on a succession of disease outbreaks in broiler flocks raised in the intensive farming systems [9]. Previously, clinical E. cecorum was not described in commercial chicken layers or geese flocks. We found that the problem may affect hens or other bird species than chicken. Our results were consistent with the literature in regarding on certain characteristics traditionally considered to be typical for the genus Enterococcus or E. cecorum including intestinal isolates of poultry origin [28, 29]. According to the literature, E. cecorum are often NaCl sensitive [17, 30], and intestinal E. cecorum of poultry may be also NaCl-resistant [28]. In our study, clinical isolates appeared to be less salt-tolerant, however no complete inhibition of growth was observed. Authors suggested possible higher ability to survive clinical E. cecorum in saline environment or even higher resistance to chlorine-based disinfectants. Previous research demonstrated no growth of poultry cecal E. cecorum on Slanetz medium, and on KAA agar [1], while clinical strains showed variable growth on these media. The growth was clearly more abundant on bile esculine azide agar than on esculin azide agar with kanamycin. Based on results, we suggested that complete growth inhibition on a solid medium supplemented with tergitol or with potassium tellurite may be used in identification of this enterococcal species. According to the literature, Enterococcus species are able to survive a range of stresses and hostile environments [31], but E. cecorum was described as unable to grow at 10 °C or survive 30 min at 60 °C [5, 29]. In contrast to above authors, clinical isolates were able to grow at low temperatures (4 °C, 10 °C) and some of them might survive even longer heating at 60 °C for 1 h and even 70 °C for 30 min. The results may indicate to the possibly longer survival E. cecorum at more extreme temperatures in the poultry house environment. We confirmed the efficacy of two biochemical systems for identification poultry-origin E. cecorum strains. Instead of doubtful or unacceptable profile in API, all strains were properly recognized by sodA gene sequencing. We found, that almost all clinical strains gave positive reactions in 10 biochemical tests, and negative in 5 tests (API). Similar results were reported for other E. cecorum including commensal or reference strains with some exceptions [1, 17, 28, 32]. We observed that all of strains were able to metabolise α-cyclodextrin. Makrai et al. [10] observed differences among clinical isolates in metabolism of both α- and β-cyclodextrin. We noted relatively high positive reactions for βGAL, βGAR, VP, opposed to reference E. cecorum strain and despite the discrepancies in the literature [17]. In contrast to other studies [2, 17], some clinical E. cecorum showed ability to produce urease, β-mannosidase, and metabolize glycogen. On the other hand, results for β-mannosidase, glycogen, mannitol were lower for clinical isolates than reported for standard strains. Our results were consistent with Borst et al. [33] who noted that pathogenic E. cecorum isolates are more deficient in mannitol metabolism. Recently molecular aspects for the defect mannitol metabolism in pathogenic strains were investigated [34]. Based on comparative analysis of our results with study of Makrai et al. [10], it could be assumed, that all clinical E. cecorum may metabolise 18 carbon sources (adenosine, arbutin, D-cellobiose, dextrin, D-fructose, D-mannose, D-psicose, D-raffinose, D-trehalose, gentiobiose, maltose, maltotriose, N-acetyl-D-glucosamine, N-acetyl-β-D-mannosamine, pyruvic acid methyl ester, salicin, sucrose, α-D-glucose). Similarly to above mentioned authors, clinical isolates may give differences in 3 tests: α-D-lactose, D-ribose, 2-deoxy adenosine. Recently several potential mediators of virulence were found in pathogenic E. cecorum isolated from chickens in the southeast US. These virulence determinants conserved in pathogenic EC were found to be similar to those utilized by other medically important enterococci [33]. In the present study, only 32.9 % clinical E. cecorum strains contained one or more virulence genes. E. cecorum from chicken flocks contained mainly asa1/gelE/ace genes. The pathogenicity of E. cecorum may be associated with other species-specific virulence factors. Similar observations were presented by Jackson et al. [35] who detected only few virulence genes among US E. cecorum isolates, and the incidences of virulence determinants tested were lower than ours. In our study the most of positive isolates contained two asa1/gelE or four asa1/gelE/efaA/ace virulence genes. We speculated about possible linkage between asa1/gelE (74 % of all virulence positive isolates) or efaA/ace (33.3 % of all virulence positive isolates) in clinical E. cecorum. It may have impact on pathogenesis and clinical course of infection. Because none of the investigated strains harbored hyl gene, we suggest that this virulence determinant may be not widespread among clinical isolates. Our results were consistent with other authors who described the lack of hyl in E. cecorum from poultry carcass rinsates, diseased chickens [35] and pigeons [5]. According to the literature, hyaluronidase is a degradative enzyme that is associated with tissue damage. Among Enteroccocus species the hyl gene has been reported more often in ampicillin-resistant VRE E. faecium isolates [36]. We suggest that hyl is not specific for E. cecorum and could has minor role in pathogenicity of E. cecorum, however more studies are needed to elucidate this aspect. The present study showed lack of correlation between the presence of gelE gene and its expression. The literature provide no data in regard this aspect on E. cecorum, however similar observations are available for E. faecalis [37]. Generally, pathogenic isolates from poultry were found to be significantly more drug resistant than commensal strains [33]. In the present study almost all of clinical isolates showed high level of antibiotic resistance and 91.5 % of them showed multidrug resistance (resistance to ≥ 2 antimicrobials). Other authors identified lower multidrug resistance in E. cecorum from carcass rinsates and diseased poultry, however the panel of used antibicrobials were not completely the same [35]. Affected flocks were treated against E. cecorum usually with amoxicillin, doxycycline or enrofloxacin. All of the above antibiotics were tested in this study. Similarly to other authors, the overwhelming majority of the isolates were susceptible to penicillin, which appear to be drug of choice [4, 5, 7, 10, 14, 15]. However, the majority of E. cecorum was resistant to enrofloxacin > teicoplanin > doxycycline > erythromycin. Our results were opposed to clinical E. cecorum from other countries, in which sensitivity to enrofloxacin (in Germany, Holland, Hungary, South Africa), doxycycline (in Germany, Hungary) and macrolides (in Belgium, Germany) were identified [4, 5, 7, 10, 14, 15]. Similarly to the isolates from Canada, USA, Holland and Belgium, clinical E. cecorum from Poland showed the increased resistance to tetracycline or erythromycin (macrolides) [4, 7, 27, 33, 35]. This antimicrobial resistance pattern may be common and characteristic for pathogenic E. cecorum. The presented study indicated on the presence clinical E. cecorum (1.2 %) with the resistance to vancomycin (VRE) and to high level gentamicin (HLGR). Similarly to Jackson et al. [35], we found out that none of the isolates were resistant to linezolid. According to the literature, enterococci have both an intrinsic and acquired resistance to antibiotics which complicate treatment of infections. The acquired resistance includes resistance to i.a. chloramphenicol, tetracyclines, fluoroquinolones, aminoglycosides (high levels), and vancomycin. Enterococci have demonstrated a huge potential for acquiring and disseminating resistant genes. We found, that the high level of the resistance to enrofloxacin, doxycycline, tetracycline in E. cecorum isolates is probably related to the wide use of these antibiotics in poultry production. In previous years erythromycin was also commonly applied in the therapy of poultry. Other authors confirmed the presence of resistance genes (including van genes) among E. cecorum from broilers or retail chicken meat [38, 39]. We suggest, that poultry may play an important role as reservoirs of antibiotic resistant E. cecorum in the environment. However, further studies are needed to investigate the resistance genes in clinical isolates. In the present study sodA gene fragment was successfully used to confirm phenotypic identification of E. cecorum, however it was not sufficiently discriminative to differentiate them from each other. In the collection it was possible to distinguish for three phylogenetic groups and one subgroup. The strains from group B showed the same type of production (CB), year of isolation, virulence determinants and multidrug resistance pattern, but different geographical origin; 80 % of them belong to pulsotype M. The strains of group C shared only the same year of isolation, virulence and multidrug resistance patterns. The low genetic distance (based on sodA gene sequences) indicated on the very close genetic relationships between clinical E. cecorum. No clear genetic differences were observed between clinical strains and reference strain. Recent data indicated that pathogenic E. cecorum from the southeast US were clonal, however comparative genomic analysis revealed fundamental differences in their genomes [34]. According to the previous report, isolates recovered from spinal abscesses were highly similar and could be detected by using PFGE [33]. In our study, PFGE results showed the genetic heterogeneity between clinical E. cecorum isolates, that is consistent with the other studies [18]. Therefore, the usage of PFGE in distinguishing pathogenic strains may be difficult and limited. This genetic diversity was seen between poultry flocks, however some clustering was visible in relation of type of production (CB, CL). Moreover, some temporal and geographical clustering was visible. Many CB isolates from the same year and geographical origin were clustered together (pulsotype A, D, L, P) indicating their close genetic relationship. Some CL isolates from the same location but different years were grouped into a single pulsotype (U) indicating on the possible horizontal transmission among CL flocks in this area. We found that CB and BB isolates from the same year which were clustered together into separate pulsotypes (I, M). Based on the relatively close relationship between isolates from geese and chicken flocks, it could be assumed that isolates from the single clonal lineage may cause outbreaks in different bird species. The results may suggest the transmission of potential disease-causing E. cecorum between flocks.

Conclusions

These data indicate that several, widely distributed pathogenic E. cecorum clones seemed to be responsible for infection cases found in different poultry types. The isolates causing infection in different CB flock in the same year and region may be somewhat genetically distinct from each other and from those that cause disease in CL or BB flocks in the same year and region. Phenotypically, clinical isolates were generally found to be very similar, however some properties or characteristics described in some isolates were not found in others. The study presented here is the first in Poland as well as one of the few in Europe which provides phenotypic and genotypic characterization of E. cecorum isolates associated with disease outbreaks in poultry flocks. Further research needs to focus on finding new virulence determinants of E. cecorum and recognition of transmission routes.

Abbreviations

BB, broiler breeder flocks; CA, Columbia agar with 5 % sheep blood; CB, chicken broiler flocks (commercial broilers); CL, commercial layer flocks; E. cecorum, Enterococcus cecorum; ES, enterococcal spondylitis; G, geese flocks; HLGR, high level gentamicin resistance; PFGE, Pulsed Field Gel Electrophoresis; T, turkey flock; VRE Vancomycin-Resistant Enterococcus
  31 in total

1.  Identification of Enterococcus spp. with a biochemical key.

Authors:  A Manero; A R Blanch
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

2.  Enterococcal-related vertebral osteoarthritis in South African broiler breeders: A case report.

Authors:  Henry Aitchison; Petrus Poolman; Marilette Coetzer; Caron Griffiths; Johan Jacobs; Mignon Meyer; Shahn Bisschop
Journal:  J S Afr Vet Assoc       Date:  2014-11-06       Impact factor: 1.474

Review 3.  Interpreting chromosomal DNA restriction patterns produced by pulsed-field gel electrophoresis: criteria for bacterial strain typing.

Authors:  F C Tenover; R D Arbeit; R V Goering; P A Mickelsen; B E Murray; D H Persing; B Swaminathan
Journal:  J Clin Microbiol       Date:  1995-09       Impact factor: 5.948

Review 4.  Phenotypic identification of the genus Enterococcus and differentiation of phylogenetically distinct enterococcal species and species groups.

Authors:  L A Devriese; B Pot; M D Collins
Journal:  J Appl Bacteriol       Date:  1993-11

5.  Association of Enterococcus cecorum with vertebral osteomyelitis and spondylolisthesis in broiler parent chicks.

Authors:  László Makrai; Csaba Nemes; Anna Simon; Eva Ivanics; Zoltán Dudás; László Fodor; Róbert Glávits
Journal:  Acta Vet Hung       Date:  2011-03       Impact factor: 0.955

6.  Antimicrobial resistance, virulence determinants and genetic profiles of clinical and nonclinical Enterococcus cecorum from poultry.

Authors:  C R Jackson; S Kariyawasam; L B Borst; J G Frye; J B Barrett; L M Hiott; T A Woodley
Journal:  Lett Appl Microbiol       Date:  2015-01-07       Impact factor: 2.858

7.  High prevalence of tetracycline resistance in Enterococcus isolates from broilers carrying the erm(B) gene.

Authors:  K Cauwerts; A Decostere; E M De Graef; F Haesebrouck; F Pasmans
Journal:  Avian Pathol       Date:  2007-10       Impact factor: 3.378

8.  Development of a multiplex PCR for the detection of asa1, gelE, cylA, esp, and hyl genes in enterococci and survey for virulence determinants among European hospital isolates of Enterococcus faecium.

Authors:  Vanessa Vankerckhoven; Tim Van Autgaerden; Carl Vael; Christine Lammens; Sabine Chapelle; Rosaria Rossi; Daniela Jabes; Herman Goossens
Journal:  J Clin Microbiol       Date:  2004-10       Impact factor: 5.948

9.  Characterization and safety evaluation of enterococci isolated from Spanish goats' milk cheeses.

Authors:  Antonio M Martín-Platero; Eva Valdivia; Mercedes Maqueda; Manuel Martínez-Bueno
Journal:  Int J Food Microbiol       Date:  2009-03-27       Impact factor: 5.277

10.  Nosocomial infection due to Enterococcus cecorum identified by MALDI-TOF MS and Vitek 2 from a blood culture of a septic patient.

Authors:  Philipp Warnke; Thomas Köller; Paul Stoll; Andreas Podbielski
Journal:  Eur J Microbiol Immunol (Bp)       Date:  2015-06-18
View more
  10 in total

1.  Chicken embryo lethality assay for determining the lethal dose, tissue distribution and pathogenicity of clinical Enterococcus cecorum isolates from poultry.

Authors:  Beata Dolka; Michał Czopowicz; Izabella Dolka; Piotr Szeleszczuk
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

2.  Multilevel selection of bcrABDR-mediated bacitracin resistance in Enterococcus faecalis from chicken farms.

Authors:  Mu-Ya Chen; Felipe Lira; Hua-Qing Liang; Rui-Ting Wu; Jia-Hong Duan; Xiao-Ping Liao; José L Martínez; Ya-Hong Liu; Jian Sun
Journal:  Sci Rep       Date:  2016-10-12       Impact factor: 4.379

3.  Characterization of pathogenic Enterococcus cecorum from different poultry groups: Broiler chickens, layers, turkeys, and waterfowl.

Authors:  Beata Dolka; Dorota Chrobak-Chmiel; Michał Czopowicz; Piotr Szeleszczuk
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

4.  Comparison of pathogenic and non-pathogenic Enterococcus cecorum strains from different animal species.

Authors:  Arne Jung; Martin Metzner; Martin Ryll
Journal:  BMC Microbiol       Date:  2017-02-13       Impact factor: 3.605

5.  Influence of lincomycin-spectinomycin treatment on the outcome of Enterococcus cecorum infection and on the cecal microbiota in broilers.

Authors:  Jana Schreier; Daniela Karasova; Magdalena Crhanova; Ivan Rychlik; Silke Rautenschlein; Arne Jung
Journal:  Gut Pathog       Date:  2022-01-04       Impact factor: 4.181

6.  Different virulence levels of Enterococcus cecorum strains in experimentally infected meat-type chickens.

Authors:  Jana Schreier; Silke Rautenschlein; Arne Jung
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

Review 7.  Antimicrobial resistance in the globalized food chain: a One Health perspective applied to the poultry industry.

Authors:  Celso José Bruno de Oliveira; Wondwossen Abebe Gebreyes; Mauro de Mesquita Souza Saraiva; Kelvin Lim; Daniel Farias Marinho do Monte; Patrícia Emília Naves Givisiez; Lucas Bocchini Rodrigues Alves; Oliveiro Caetano de Freitas Neto; Samuel Kariuki; Angelo Berchieri Júnior
Journal:  Braz J Microbiol       Date:  2021-11-13       Impact factor: 2.476

8.  Effects of Different Monochromatic Light Combinations on Cecal Microbiota Composition and Cecal Tonsil T Lymphocyte Proliferation.

Authors:  Yijia Zhang; Zixu Wang; Yulan Dong; Jing Cao; Yaoxing Chen
Journal:  Front Immunol       Date:  2022-07-12       Impact factor: 8.786

9.  Spatial Organization of the Gastrointestinal Microbiota in Urban Canada Geese.

Authors:  Sergei V Drovetski; Michael O'Mahoney; Emma J Ransome; Kenan O Matterson; Haw Chuan Lim; R Terry Chesser; Gary R Graves
Journal:  Sci Rep       Date:  2018-02-27       Impact factor: 4.379

10.  In vitro growth of gut microbiota with selenium nanoparticles.

Authors:  Sheeana Gangadoo; Benjamin W Bauer; Yadav S Bajagai; Thi Thu Hao Van; Robert J Moore; Dragana Stanley
Journal:  Anim Nutr       Date:  2019-06-27
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.