Abstract
Poultry frequently account for the highest prevalence of extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae in livestock. To investigate the impact of direct-fed microbials (DFM) and phytobiotic feed additives on prevalence and conjugation of extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae, an animal trial was conducted. Lactobacillus agilis LA73 and Lactobacillus salivarius LS1 and two commercial phytogenic feed additives (consisting of carvacrol, cinnamaldehyde, and eugenol) were used as feed additives either alone or as a combination of DFM and phytogenic feed additive. An ESBL-producing E. coli donor and a potentially pathogenic Salmonella Typhimurium recipient were inoculated at 5 × 109 cells/mL in cecal contents from 2-week-old broilers. Conjugation frequencies were determined after 4 h aerobic co-incubation at 37 °C and corrected for the impact of the sample matrix on bacterial growth of donor and recipient. Surprisingly, indigenous Enterobacteriaceae acted as recipients instead of the anticipated Salmonella recipient. The observed increase in conjugation frequency was most obvious in the groups fed the combinations of DFM and phytogenic product, but merely up to 0.6 log units. Further, cecal samples were examined for ESBL-producing Enterobacteriaceae on five consecutive days in broilers aged 27–31 days. All samples derived from animals fed the experimental diet showed lower ESBL-prevalence than the control. It is concluded that Lactobacillus spp. and essential oils may help to reduce the prevalence of ESBL-harboring plasmids in broilers, while the effect on horizontal gene transfer is less obvious.
Keywords: extended-spectrum ß-lactamases, ESBL, phytobiotics, probiotics, essential oils, Lactobacillus, plasmid transfer, horizontal gene transfer, stress impact, conjugation
1. Introduction
Broiler chickens are the livestock with the highest prevalence of extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae in many regions of the world. In this context, E. coli and Salmonella spp. are the bacteria most commonly identified as the host of bla (ESBL encoding genes) carrying plasmids [1]. Transmission of ESBL-producing bacteria between animals happens rapidly and undetected, as no specific symptoms accompany the inoculation and establishment of ESBL-producing Enterobacteriaceae in broilers. These primarily non-pathogenic bacteria can, however, transfer mobile genetic elements to pathogenic bacteria and thereby cause infections, which are difficult to cure [2,3,4,5]. As they also may be transmitted to humans, these multi-resistant bacteria pose a major hazard to public health, causing tremendous costs worldwide [6,7,8,9].
As the problem gained global attention and the importance to intervene in the development and spread of antibiotic-resistant bacteria has gained high political priority, different measurements were developed to reduce the prevalence of ESBL-producing bacteria [8,10,11]. One possible approach to reduce the ESBL prevalence may be the use of feed additives, such as direct-fed microbials (DFM) or phytogenic feed additives [12,13]. The negative impact of DFMs, such as various Lactobacillus strains, on the prevalence of pathogens has been described frequently [12,13]. To our best knowledge, only three studies demonstrating the impact of DFMs and competitive exclusion cultures on prevalence and transfer of ESBL-producing Enterobacteriaceae in broilers have been published [14,15,16]. These studies comprise commercial products and competitive exclusion cultures, however no exact qualitative and quantitative specification of the containing microorganisms was provided.
Phytogenic products are used in poultry farming due to their beneficial impact on health and production [13,17]. These products can be grouped into four categories: herbs, botanicals, essential oils, and oleoresins [18]. Antibacterial activities against pathogens such as Salmonella spp. and E. coli among others have been observed in various essential oils [13,19,20]. Moreover, phytogenic feed additives were associated with a reduced plasmid transfer in E. coli [21].
Besides their prevalence, the spread of antibiotic resistance plays an important role in the dissemination of ESBL-producing Enterobacteriaceae. On the one hand, the transmission between animals and from animals to humans must be considered. Several studies have targeted this topic with one trial specifically covering the transmission of ESBL-producing Enterobacteriaceae between broilers receiving DFM [16]. On the other hand, horizontal gene transfer of ESBL-carrying plasmids must also be considered as antibiotic resistance genes are frequently exchanged between bacteria [22,23].
Thus, the approach of this study was to use DFMs with previously characterized components (qualitatively and quantitatively) as well as phytogenic products to reduce the prevalence and conjugation frequency of ESBL-producing Enterobacteriaceae. Results were obtained from in vivo (ESBL prevalence) and ex vivo (conjugation) experiments to investigate the natural occurrence and spread of ESBL genes as well as conjugation between artificially added strains.
2. Materials and Methods
2.1. Animals and Husbandry
For the animal trial, newly hatched male Cobb 500 broiler chicks were randomly allocated to nine feeding groups with seven replicates each and reared for five weeks. Three animals were reared together in cages of 50 × 35 × 68 cm (depth × width × height) for two weeks, subsequently, the animal density was reduced to 1–2 animals per cage. Metal walls separating cages reduced the contact between animals. As the cage floor comprised a metal net, excreta were automatically excluded from the animals’ environment, reducing the contact of the animals with the excreta and thereby decreasing the risk for bacterial contamination. The initial temperature was 34 °C for 48 h and reduced by 3 °C weekly. After 72 h of constant light, a cycle of 18 h light and 6 h darkness was applied. Water and experimental diet were constantly available ad libitum. The nine experimental diets comprised a control diet (Table 1), two diets supplemented with Lactobacillus salivarius LS1 or Lactobacillus agilis LA73 (1010 cfu per kg feed) [24], two experimental diets were supplemented with the phytogenic products Formulation C or Formulation L (250 mg/kg feed; EW Nutrition, Germany) and four diets supplemented with a combination of one DFM and one phytogenic product (Table 2). Formulation C contained the essential oils carvacrol and cinnamaldehyde, while Formulation L additionally contained eugenol. These feed additives were chosen due to their ability to reduce the viability of the ESBL-producing E. coli strain ESBL10716 in a previous in vitro experiment [25]. The animal trial was approved by the Regional Office for Health and Social Affairs Berlin (LaGeSo Reg. A 0437/17).
Table 1.
Ingredients | g/kg |
---|---|
Maize | 320.3 |
Wheat | 247.8 |
Soybean meal 49% CP | 323.3 |
Soybean oil | 59.5 |
Mineral–Vitamin Premix 1) | 12.0 |
Limestone | 14.6 |
Monocalcium phosphate | 18.4 |
Salt | 1.0 |
DL-Methionine | 1.8 |
L-Lysine | 1.3 |
Skim milk powder | 0.3 |
Nutrient Composition | |
Crude Protein (%) | 22.00 |
Crude Fat (%) | 8.19 |
Crude Fiber (%) | 2.42 |
Methionine (%) | 0.51 |
Lysine (%) | 1.28 |
Threonine (%) | 0.84 |
Calcium (%) | 0.96 |
Phosphorus (%) | 0.80 |
Calculated Apparent Metabolizable Energy | |
AMEN (MJ/kg) 2) | 12.6 |
1) Contents per kg diet: 4800 IU vit. A; 480 IU vit. D3; 96 mg vit. E (α-tocopherole acetate); 3.6 mg vit. K3; 3 mg vit. B1 ; 3 mg vit. B2; 30 mg nicotinic acid; 4.8 mg vit. B6; 24 µg vit. B12; 300 µg biotin; 12 mg calcium pantothenic acid; 1.2 mg folic acid; 960 mg choline chloride; 60 mg Zn (zinc oxide); 24 mg Fe (iron carbonate); 72 mg Mn (manganese oxide); 14.4 mg Cu (copper sulfate-pentahydrate); 0.54 mg I (calcium Iodate; 0.36 mg Co (cobalt- (II)-sulfate-heptahydrate); 0.42 mg Se (sodium selenite); 1.56 g Na (sodium chloride); 0.66 g Mg (magnesium oxide). 2) Nitrogen-corrected apparent metabolizable energy estimated from chemical composition of feed ingredients (based on the EU Regulation - Directive 86/174/EEC): 0.1551 × % crude protein + 0.3431 × % ether extract + 0.1669 × % starch + 0.1301 × % total sugar.
Table 2.
Feed Group | Diet Supplementation |
---|---|
Control | None |
LS | DFM 1:1010 cfu Lactobacillus salivarius LS1/kg diet |
LA | DFM 2: 1010 cfu Lactobacillus agilis LA73/kg diet |
Formulation C | Phytogenic product 1: 0.25 g Formulation C/kg diet |
Formulation L | Phytogenic product 2: 0.25 g Formulation L/kg diet |
LS + C | 0.25 g Formulation C + 1010 cfu Lactobacillus salivarius LS1/kg diet |
LS + L | 0.25 g Formulation L + 1010 cfu Lactobacillus salivarius LS1/kg diet |
LA + C | 0.25 g Formulation C + 1010 cfu Lactobacillus agilis LA73/kg diet |
LA + L | 0.25 g Formulation L + 1010 cfu Lactobacillus agilis LA73/kg diet |
2.2. Strains and Cultivation Conditions
The experimental design comprised the ESBL-producing donor strain Escherichia coli ESBL10682, derived from broiler excreta within the RESET program [26]. This strain belonged to the phylogenic group B1 and produced the enzyme CTX-M-1. Furthermore, the strain Salmonella Typhimurium L1219-R32 served as the recipient. Susceptibility of donor and recipient against various antibiotics was investigated by disc diffusion test (Table S1 Saliu et al., manuscript submitted). This conjugative pair was known to transfer plasmids in vitro at a conjugation frequency (CF) of 10−4–10−5 when incubated in Mueller Hinton 2 Broth (Sigma-Aldrich, Chemie GmbH, Germany) for 4 h [27]. All samples were cultivated aerobically at 37 °C for 4 h.
2.3. Collection of Samples
Pooled excreta samples were collected weekly from each experimental group. During days 13–17, these samples were derived from the cages used for the conjugation experiment only. The samples from the last collection originated from fewer cages as several animals had been sacrificed according to the trial design. At all remaining time points, all cages were sampled. After dilution with equal volumes of sterile glycerol (50% Glycerol, Carl Roth GmbH + Co. KG, Germany, 50% Phosphate Buffered Saline (PBS), Sigma-Aldrich Chemie GmbH, Germany), the samples were stored at −80 °C until further analyzed.
Two animals of each feeding group were sacrificed per day by cervical dislocation subsequent to anesthesia from day 13 to 17. The ceca were removed, immediately transferred to the laboratory facilities, and the content was collected. This procedure was repeated with one animal per feeding group and day on days 27–31.
2.4. Conjugation Experiments
The donor and recipient strains were cultivated in Mueller Hinton 2 Broth supplemented with 8 µg/mL cefotaxime (CTX; Alfa Aesar, Thermo Fisher GmbH, Germany) or 300 µg/mL sulfamethoxazole/trimethoprim (SXT, Sigma-Aldrich, Chemie GmbH, Germany) respectively for 19 h. After washing the cells twice in PBS, cell concentrations were obtained photometrically and adjusted to 5×109 cells/mL. Cecal samples were diluted 10-fold in a citric acid–Na-citrate buffer system (pH 6.2; Sigma-Aldrich, Chemie GmbH, Germany). Each 50 µL donor and recipient suspension were added to 900 µL diluted cecal samples in triplicates. The suspensions were thereafter incubated aerobically for 4 h and plated on selective MacConkey agar (Carl Roth GmbH + Co. KG, Germany) containing 300 µg SXT and 8 µg CTX per mL agar, to obtain transconjugants, 300 µg SXT/mL agar for recipient identification or 8 µg CTX/mL agar for the calculation of donor concentrations. CF was calculated as transconjugants/donor (CF/D) and transconjugants/recipients (CF/R). The negative control comprised cecal contents without donor or recipient and was plated on MacConkey agar containing 300 µg SXT and 8 µg CTX per mL agar after 4 h incubation.
2.5. Calculation of a Stress Impact Factor
As the sample matrix influences the growth of donor, recipient, and transconjugants, a bias arises when only evaluating CF based on donor or recipient cfu. Thus, the impact of stressors within the sample must be considered. A stress impact factor (SIF), correcting the results for this bias, aims to normalize the differences by incorporating control incubations [27]:
(1) |
Here, cfuctr represents the cfu of the control and cfustress stands for the bacterial concentration (cfu) at a specific level of supplementation with a stress factor. No differences in growth are observed when the SIF equals 1, while a SIF smaller than 1 occurs when feed additives result in higher bacterial concentrations. On the other hand, a SIF larger than 1 outlines enhanced bacterial growth in the presence of the stressor compared to no supplementation. This factor can subsequently be used to calculate corrected bacterial concentrations (cfucorr), which most likely would be observed in the absence of the stressor by multiplication of the SIF and cfustress:
cfucorr= cfustress×SIF | (2) |
SIF corrected CF were thereafter calculated as CF/D (SIF) = cfucorr(transconjugants)/ cfucorr(donor) and CF/R (SIF) = cfucorr(transconjugants)/ cfucorr(recipient). In the latter, the SIF for transconjugants equals the SIF for recipients. Hence, CF/R=CF/R (SIF) and CF/R (SIF) can be neglected.
2.6. Prevalence of ESBL-Producing Enterobacteriaceae
The excreta samples were thawed at room temperature and each 1 g sample was diluted in 4.5 mL Buffered Peptone Water (BPW, Carl Roth GmbH + Co. KG, Germany) as described previously [28]. The dilutions were plated on multiple MacConkey agar plates containing 2 µg CTX/mL agar as described previously [29,30,31] and incubated aerobically at 37 °C for 48 h.
A similar procedure was applied for the cecal content samples collected on day 27–31. The cecal content was diluted in the double amount of PBS and directly spread on MacConkey agar containing 2 µg CTX/mL. The plates were evaluated after 48 h aerobic incubation at 37 °C.
No pre-enrichment was conducted, as quantification of ESBL-producing Enterobacteriaceae was intended.
2.7. Statistics
The software IBM SPSS (Version 22, USA) was used for the statistical analysis of the results. The results are presented as mean values and standard deviation. To determine significance and subgroups, the non-parametric Kruskal–Wallis test and Mann–Whitney test were applied for CF and bacterial growth while the chi-squared test was applied for the prevalence of ESBL-producing Enterobacteriaceae in the cecal content. Differences at p < 0.05 were considered statistically significant and p values between 0.05 and 0.1 were accepted as trends. Pearson correlations were applied to identify correlations between short-chain fatty acid concentrations and CF and were considered significant at the 0.01 level (2-tailed).
3. Results
3.1. Donor and Recipient Growth
The different feed additives and their combinations did not show a significant impact on Salmonella Typhimurium L1219-R32 (p = 0.183) or E. coli ESBL10682 (p = 0.317) growth (Table 3). The initial concentration of approximately 8.7 log cfu/mL cecal content of each donor and recipient strain declined after 4 h of incubation to 7.5–7.9 log cfu/g cecal content for E. coli ESBL10682 and 7.9–8.4 log cfu Salmonella Typhimurium/g cecal content while the indigenous, SXT-resistant Enterobacteriaceae showed concentrations of 6.4–7.1 log cfu/g cecal content. On average, the Salmonella Typhimurium L1219-R32 showed slightly higher growth than the E. coli strain. The lowest growth was observed for SXT resistant Enterobacteriaceae, which also varied significantly (p = 0.002) between feeding groups (Table 3). Here, LS + L, LA + C, LA and Formulation C showed significantly lower numbers of SXT resistant Enterobacteriaceae of up to 0.72 log units than Formulation L or LA + L. However, these were not significantly lower than the observed amount of SXT resistant Enterobacteriaceae in samples derived from animals fed the control diet.
Table 3.
Trial Group |
E. coli ESBL10682 |
Salmonella Typhimurium L1219-R32 |
Indigenous, SXT Resistant Enterobacteriaceae 2 |
---|---|---|---|
Control | 6.86 ± 0.48 | 7.10 ± 0.37 | 5.93 ± 0.61 abe |
LS | 6.81 ± 0.27 | 7.04 ± 0.39 | 5.92 ± 0.52 be |
LA | 6.90 ± 0.45 | 6.92 ± 0.47 | 5.49 ± 0.42 abcd |
Formulation C | 6.94 ± 0.31 | 7.06 ± 0.42 | 5.50 ± 0.52 abcd |
Formulation L | 6.91 ± 0.28 | 7.36 ± 0.24 | 6.12 ± 0.80 e |
LS + C | 6.76 ± 0.54 | 7.21 ± 0.31 | 5.85 ± 0.49 abde |
LS + L | 6.56 ± 0.71 | 7.14 ± 0.32 | 5.40 ± 0.64 abcd |
LA + C | 6.49 ± 0.73 | 7.10 ± 0.37 | 5.45 ± 0.68 abcd |
LA + L | 6.59 ± 0.53 | 7.14 ± 0.24 | 6.02 ± 0.51 e |
p 1 | 0.317 | 0.183 | 0.002 |
1 Significant differences were determined using the Kruskal–Wallis test, 2 different letters indicate significant differences (p < 0.05, Mann–Whitney test) in the abundance of indigenous, SXT resistant Enterobacteriaceae after 4 h incubation between trial groups.
3.2. Conjugation Experiments
The donor/recipient pair was known from a previous in vitro study to show CF of 10−5–10−4 transconjugants/donor or transconjugants/recipient after 4 h of co-incubation [27]. In the aforementioned in vitro set up, a 10-fold lower initial concentration of donor and recipient was chosen compared to the setup of the present experiment. Still, in the present study, indigenous Enterobacteriaceae stepped in as plasmid acceptors instead of the intended Salmonella Typhimurium recipient at CF of 10−5–10−4 transconjugants/donor and 10−3 transconjugants/recipient (Table 4). Differences in CFD (SIF) were observed between different trial groups. The groups receiving feed supplemented with Formulation C, LS +C, LS + L or LA + L showed significantly higher CF/D (SIF) than the control group (Table 4). The applied feed additives did not affect CF/R. The negative control did not grow colonies on plates containing the combination of CTX and SXT or only CTX but on the plates containing SXT.
Table 4.
Trial Group | CF/D 3 | CF/R | CF/D (SIF) 3 |
---|---|---|---|
Control | −4.43 ± 0.45 ab | −3.46 ± 1.01 | −4.43 ± 0.45 a |
LS | −4.21 ± 0.57 b | −3.32 ± 0.74 | −4.29 ± 0.57 ab |
LA | −5.07 ± 1.46 a | −3.65 ± 1.12 | −4.57 ± 1.46 a |
Formulation C | −4.60 ± 0.40 a | −3.16 ± 0.68 | −4.20 ± 0.40 b |
Formulation L | −4.27 ± 0.52 ab | −3.48 ± 0.96 | −4.66 ± 0.52 a |
LS + C | −4.10 ± 0.52 b | −3.19 ± 0.56 | −3.98 ± 0.52 b |
LS + L | −3.98 ± 0.96 b | −2.82 ± 0.71 | −3.82 ± 0.96 b |
LA + C | −3.95 ± 0.55 b | −2.90 ± 0.68 | −3.98 ± 0.55 b |
LA + L | −4.10 ± 0.94 b | −3.53 ± 0.86 | −4.33 ± 0.94 ab |
p 2 | 0.010 | 0.172 | 0.031 |
1 CF = conjugation frequency; 2 significant differences were determined using the Kruskal–Wallis test, 3 different letters indicate significant differences (p < 0.05, Mann–Whitney test) in conjugation frequency between trial groups within a column; CF/D = transconjugants/donor; CF/R = transconjugants/recipients; SIF = stress impact factor.
3.3. Prevalence of ESBL-Producing Enterobacteriaceae
ESBL-producing Enterobacteriaceae (ESBL-PE) were detected in the excreta of newly hatched chicks and throughout the entire rearing period (Table S2). To investigate the day-to-day differences of cecal ESBL-PE, the fifth week of the feeding trial was monitored closely. Significant differences (p = 0.001) were observed between feed groups both in regards to the number of days ESBL-PE were above the detection limit, as well as to the amount of detected ESBL-PE/g cecal content (Table 5). The groups LA and LS + L were negative at all sampling times. Quantitatively, groups LS + C, LA + L, LS, LA + C, Formulation C and Formulation L followed. When evaluating the qualitative results, LS + C and LA + L showed a lower prevalence than LS, LA + C, Formulation C and Formulation L. The ESBL-producing Enterobacteriaceae were not characterized further, but the microbial composition of the cecal content was described elsewhere [32].
Table 5.
Day | 27 | 28 | 29 | 30 | 31 | Prevalence per Trial Group (%) |
---|---|---|---|---|---|---|
Trial Group | ||||||
Control | 13 | nd | 7 | 8340 | nd | 60 a |
LS | 20 | nd | nd | nd | 40 | 40 b |
LA | nd | nd | nd | nd | nd | 0 b |
Formulation C | 13 | nd | nd | nd | 80 | 40 b |
Formulation L | 7 | nd | nd | 539 | nd | 40 b |
LS + C | nd | nd | 20 | nd | nd | 20 b |
LS + L | nd | nd | nd | nd | nd | 0 b |
LA + C | nd | 63 | nd | 25 | nd | 40 b |
LA + L | nd | nd | nd | 7 | nd | 20 b |
Prevalence (%): positive samples per day | 44 | 11 | 22 | 44 | 22 | |
p 1 | 0.001 |
nd: not detected. 1 Significant differences were determined using the chi-squared test, different letters indicate significant differences (p < 0.05) in the overall prevalence of ESBL-producing Enterobacteriaceae between trial groups.
4. Discussion
The threat that ESBL-producing Enterobacteriaceae from poultry pose to public health must be taken into serious consideration when discussing antibiotic resistance in farm animals. Different approaches to reduce the prevalence and spread of these bacteria in poultry by the use of feed additives showed promising results [14,15,16,21]. However, to our best knowledge, their impact on both prevalence and horizontal gene transfer has not been studied in poultry. A previous study by our working group focused on the identification of lactic acid bacteria and phytogenic products with inhibitory potentials against the ESBL-producing E. coli ESBL10716 [25]. Subsequently, the current trial followed to investigate their ability to reduce in vivo prevalence and ex vivo transfer of extended-spectrum beta-lactam resistance.
To investigate the impact of these feed additives on conjugation frequency, donor and recipient strains were added to cecal contents obtained from 2-week-old broilers. The initial concentrations of the donor and recipient strains were chosen at very high levels compared to the common abundance of bacterial strains in the gastrointestinal tract of broilers [33,34,35] to investigate the theoretical possibility of gene transfer, as high concentrations increase the chance of detecting changes. Only a part of the initial donors and recipients added to the cecal contents were able to establish in the matrix, but E. coli and Salmonella Typhimurium concentrations still exceeded natural levels of single strains. Here, the detection of higher concentrations for Salmonella Typhimurium L1219-R32 than E. coli ESBL10682 was unexpected, as previous in vitro experiments with this mating pair constantly led to reverse results [27]. Apparently, the chosen habitat (cecum) was more favorable for the Salmonella strain.
As both donor and recipient were able to survive the conditions in cecal contents, one would expect to find transconjugants after 4 h of co-incubation. Surprisingly, the complex system of an intestinal milieu revealed a tremendous impact on conjugation, as no Salmonella transconjugants could be recovered. The chosen Salmonella/E. coli mating pair has been established as an excellent system for in vitro experiments [27]. Furthermore, the growth of the Salmonella strain was also not affected by the cecal matrix. Therefore, other factors of the cecal matrix may have been present. During previous in vitro experiments, the simple addition of propionate for instance significantly reduced conjugation frequencies for the Salmonella/E. coli mating pair [27]. Cecal propionate concentrations were not significantly different between feed groups (Table S3) [32] and no correlation between propionate (p = 0.662), acetate (p = 0.96) or total short-chain fatty acids (p = 0.905) and CF/D (SIF) were detected. Still, this and other factors of the cecal matrix (bacterial competition, quorum sensing molecules, intermediary metabolites) may have triggered a physiological state in either donor and/or recipient strain that inhibits the formation of the conjugation machinery [36,37,38].
Instead, within the period of 4 h, a time frame resembling the passage time of cecal content in 14-day-old broilers [39], E. coli donor successfully transferred the blaCTX-M-1 carrying plasmid to indigenous Enterobaceriaceae. This also leads to the conclusion that conjugation was not inhibited for the donor and thus, conjugation may have only been inhibited for the Salmonella recipient. As only the SXT resistant transconjugants were detected, one must expect that further, SXT sensitive enterobacteria additionally served as recipients and affected the CF observed in this experiment. As the negative control did not show growth on plates identifying donor or transconjugants, it was concluded that the chosen donor strain was accountable for the observed transconjugants. Further studies should investigate longer incubation times, simulating the establishment of donor and recipient in the gastrointestinal tract. Additionally, a wider screening of recipients should be included.
Comparing conjugation frequencies is a common method applied when evaluating horizontal gene transfer [40]. To calculate the CF, the amount of transconjugants is either divided by the number of recipients or donors. Results from the present study display major differences between these approaches and stress the importance of considering both methods when evaluating plasmid transfer. Also, the impact of the environment on bacterial growth is frequently neglected. Thereby, a bias arises [40,41,42], which was circumvented in the current study by applying the stress impact factor (SIF). In the present study, the results of SIF correction were rather similar to the CF/D and CF/R values besides group LA, Formulation C and Formulation L, where differences of 0.5, 0.4, and 0.3 log cfu/mL were observed, respectively. In these groups, the SIF for transconjugant and recipient growth were among the most pronounced at 2.8, 2.3, and 0.4 respectively. This highlights the importance of considering changes in bacterial growth when interpreting results from conjugation trials. Observed CF/R in this ex vivo setup exceeded results from previous in vitro experiments, while the CF/D was rather similar to earlier findings [27]. This might be explained by the amount of different possible indigenous recipients compared to one Salmonella recipient strain.
The lowest detected CF/D (SIF) among indigenous enterobacteria was observed when fed the experimental diets supplemented with L. agilis or Formulation L. Similarly, it was previously described that Lactobacillus plantarum strains can reduce CF/R in vitro, independent of their ability to produce bacteriocins [43]. Similar results were observed in an in vitro trial with Klebsiella pneumoniae (SHV-5) and Salmonella enterica serovar Typhimurium (CTX-M-15) donors and an Escherichia coli K-12 recipient in the presence of different Bifidobacterium spp., reducing transconjugant counts with up to 2.6 logs [44]. These results were confirmed in in vivo trials with gnotobiotic mice, where a strain and incubation time-dependent reduction of transconjugants of up to 3.3 logs was reported. However, no information is provided on the impact of DFM on horizontal gene transfer of bla in a complex matrix comprising a diverse microbial community. Compared to the mentioned studies, the reduction of CF observed in the current study in the presence of L. agilis was less pronounced and statistically not significantly different from the control. The results from the current study also revealed species-specific differences as, opposite to L. agilis, L. salivarius induced a slight increase of CF/D, CF/R, and CF/D (SIF) compared to the control.
The phytobiotic product Formulation C seemed to reduce CF/D, but correction for stress impact on bacterial growth reversed this into an increase. On the contrary, the observed increase in CF/D by the group receiving Formulation L was reversed into a decrease when corrected by SIF. Similarly, components of Thymus vulgaris essential oils reduced the transfer of the bla-carrying pKM101 plasmid between E. coli strains. The highest reduction was observed as an effect of linalool supplementation, followed by S- and R-carvone, eugenol, and borneol [21]. This implies that different phytogenic compounds affect CF differently.
Interestingly, the combination of DFM and phytobiotic feed additives had an enhancing impact on conjugation frequencies. The only exception was observed for the combination of L. agilis and Formulation L, where a minor numeric reduction was observed. In summary, a non-significant reductive impact on conjugation (CF/D (SIF)) was observed for L. agilis and Formulation L, while a significantly higher CF was detected in Formulation C, LS + C, LS + L, and LA + C than in the control. This suggests that the chosen DFM and phytobiotics are unlikely to reduce conjugation frequencies of the investigated ESBL-carrying plasmid in broilers.
In poultry, ESBL-PE prevalence of up to 100% were previously reported [1]. This corresponds with findings from excreta samples at week 4, where all samples were tested positive (Table S2). The early detection of ESBL-PE in newly hatched broiler chicks corresponds with results from the literature, identifying chicks and eggs as a potential risk factor for transmission between farms [45,46]. In cecal contents, two feed groups were negative for ESBL-PE at all sampling times. Comparing quantitative and qualitative results from the other feed groups, differences appear. The groups characterized as equal in the qualitative approach (20% prevalence) showed obvious quantitative differences. Qualitative evaluation of ESBL-PE prevalence, often after pre-enrichment, is commonly used to report antimicrobial resistance in poultry [1]. The results of this study suggest that qualitative evaluations may distort the picture.
It was previously shown in vivo, that DFM can reduce the prevalence of ESBL-producing E. coli in the ceca of broiler chicks [14,15], corresponding with the results from this in vivo trial. Another study investigated the transmission of ESBL-producing E. coli (CTX-M-1) between animals, where animals perceiving the DFMs were less susceptible to ESBL-producing E. coli and excreted lower numbers of these bacteria [16]. The effect observed in these studies were based on competitive exclusion. In contrast to the present study, the aforementioned trials performed an ESBL-PE challenge. Additionally, commercial products comprising a diverse bacterial community, which was not characterized quantitatively, was used compared to the single-strain approach of the present study.
Besides the impact of the DFM, phytogenic feed additives may have an effect on the prevalence of ESBL-PE [47,48]. A reduction of ESBL-PE prevalence was observed both qualitatively and quantitatively in the presence of the phytogenic products in cecal contents. As quantitative differences were observed between the products, the most severe effect was observed when combined with a DFM strain.
The results of this study displayed differences in the efficiency of different lactobacilli strains and phytobiotic products regarding the ability to reduce ESBL-PE prevalence and their plasmid transfer. In addition, no consistent correlation between the ability to reduce the prevalence and the CF was observed. This suggests that feed additives reducing the ESBL-PE prevalence should be combined with supplements targeting plasmid transfer to achieve the highest possible reduction of ESBL-producing bacteria. As this may sound logical in theory, the interaction of combinations may lead to different results [32]. Thus, it is crucial to determine the combined effect of such products, as they may be additive but also can neutralize or even reverse the effect of the single components. In this study, only one combination (LA + L) did not increase CF. With regards to the ESBL-PE prevalence, 2 (LS + C, LS) of 4 combinations were superior to the quantitative results induced by the DFM supplementation and all 4 combinations performed better than the single supplementation of phytobiotics. Further studies, where the broilers are challenged with defined amounts of ESBL-producing E. coli, should be conducted in the future to compare the results with these results from natural colonization with ESBL-PE.
5. Conclusions
Out of the tested feed additives, the effect of DFM on ESBL-PE prevalence was superior to the phytobiotic products. L. agilis showed the most promising ability to reduce both the prevalence of ESBL-producing Enterobacteriaceae as well as the ESBL-carrying plasmid transfer between Enterobacteriaceae. Combinations of phytogenic additives and DFM did not enhance the effect of the single components on CF. The impact of DFM and phytobiotic feed additives on conjugation was less obvious than the impact on ESBL-PE prevalence.
Acknowledgments
The authors want to thank Klaus Männer who provided expertise that greatly assisted the animal trial. We are also grateful to Anett Kriesten, Jonathan Riedmueller, Marita Eitinger, Laura Eisenhauer, Anja Lührmann, Katharina Zeilinger, Florian Metzger and the animal caretakers for excellent technical assistance. We further would like to extend our sincere gratitude to Christa Ewers (Institute for Hygiene and Infectious Diseases of Animals, Justus-Liebig-Universität Gießen, Germany) and Uwe Rösler (Institute for Animal Hygiene and Environmental Health, Freie Universität Berlin, Germany) for providing the donor strain. Our gratitude goes to Katharina Stark and Łukasz Grzeskowiak for their valuable comments on the writing style.
Supplementary Materials
The following are available online at https://www.mdpi.com/2076-2607/8/3/322/s1, Table S1: Susceptibility of donor and recipient strain, Table S2: Prevalence of ESBL-producing Enterobacteriaceae in the feces of broilers, Table S3: Raw data short-chain fatty acids, Table S4: Raw data.
Author Contributions
Conceptualization, W.V., J.Z., and E.-M.S.; methodology, E.-M.S., W.V., H.R., and F.B.G.; validation, E.-M.S. and W.V.; formal analysis, E.-M.S. and W.V.; investigation, E.-M.S.; data curation, E.-M.S.; writing—original draft preparation, E.-M.S.; writing—review and editing, W.V., H.R., J.Z., and F.B.G.; visualization, E.-M.S.; supervision, W.V. and J.Z.; project administration, W.V. and J.Z.; funding acquisition, W.V. and J.Z. All authors have read and agree to the published version of the manuscript.
Funding
The study was conducted within the EsRAM project (No. 2817701014), funded by the German Federal Ministry of Food and Agriculture. We acknowledge support by the German Research Foundation and the Open Access Publication Fund of Freie Universität Berlin by funding the APC.
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Saliu E.M., Vahjen W., Zentek J. Types and prevalence of extended-spectrum beta-lactamase producing Enterobacteriaceae in poultry. Anim. Health Res. Rev. 2017;18:46–57. doi: 10.1017/S1466252317000020. [DOI] [PubMed] [Google Scholar]
- 2.Bertrand S., Weill F.X., Cloeckaert A., Vrints M., Mairiaux E., Praud K., Dierick K., Wildemauve C., Godard C., Butaye P., et al. Clonal emergence of extended-spectrum beta-lactamase (CTX-M-2)-producing Salmonella enterica serovar Virchow isolates with reduced susceptibilities to ciprofloxacin among poultry and humans in Belgium and France (2000 to 2003) J. Clin. Microbiol. 2006;44:2897–2903. doi: 10.1128/JCM.02549-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Leverstein-van Hall M.A., Dierikx C.M., Cohen Stuart J., Voets G.M., van den Munckhof M.P., van Essen-Zandbergen A., Platteel T., Fluit A.C., van de Sande-Bruinsma N., Scharinga J., et al. Dutch patients, retail chicken meat and poultry share the same ESBL genes, plasmids and strains. Clin. Microbiol. Infect. 2011;17:873–880. doi: 10.1111/j.1469-0691.2011.03497.x. [DOI] [PubMed] [Google Scholar]
- 4.Apata D.F. Antibiotic resistance in poultry. Int. J. Poult. Sci. 2009;8:404–408. doi: 10.3923/ijps.2009.404.408. [DOI] [Google Scholar]
- 5.Lazarus B., Paterson D.L., Mollinger J.L., Rogers B.A. Do human extraintestinal Escherichia coli infections resistant to expanded-spectrum cephalosporins originate from food-producing animals? A systematic review. Clin. Infect. Dis. 2015;60:439–452. doi: 10.1093/cid/ciu785. [DOI] [PubMed] [Google Scholar]
- 6.Davies J., Davies D. Origins and evo lution of antibiotic resistance. Microbiol. Mol. Biol. Rev. 2010;74:417–433. doi: 10.1128/MMBR.00016-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Urumova V. Extended spectrum beta lactamase producing animal enterobacteriaceae isolates as potential risk to public health - review. Rev. Med. Vet. 2015;166:192–207. [Google Scholar]
- 8.Camou T., Zunino P., Hortal M. Alarm due to antimicrobial resistance: Current situation and challenges. Rev. Med. Urug. 2017;33:277–284. [Google Scholar]
- 9.Tang K.L., Caffrey N.P., Nobrega D.B., Cork S.C., Ronksley P.E., Barkema H.W., Polachek A.J., Ganshorn H., Sharma N., Kellner J.D., et al. Restricting the use of antibiotics in food-producing animals and its associations with antibiotic resistance in food-producing animals and human beings: A systematic review and meta-analysis. Lancet Planet Health. 2017;1:e316–e327. doi: 10.1016/S2542-5196(17)30141-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.WHO . Antimicrobial Resistance: Global Report on Surveillance 2014. WHO Press; Geneva, Switzerland: [(accessed on 18 November 2019)]. Available online: http://www.who.int/drugresistance/documents/surveillancereport/en/ [Google Scholar]
- 11.EFSA Scientific Opinion on the public health risks of bacterial strains producing extended-spectrum β-lactamases and/or AmpC β-lactamases in food and food-producing animals. EFSA J. 2011;9:2322. doi: 10.2903/j.efsa.2011.2322. [DOI] [Google Scholar]
- 12.Yadav S., Jha R. Strategies to modulate the intestinal microbiota and their effects on nutrient utilization, performance, and health of poultry. J. Anim. Sci. Biotechnol. 2019;10:2. doi: 10.1186/s40104-018-0310-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Clavijo V., Florez M.J.V. The gastrointestinal microbiome and its association with the control of pathogens in broiler chicken production: A review. Poult. Sci. 2018;97:1006–1021. doi: 10.3382/ps/pex359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Nuotio L., Schneitz C., Nilsson O. Effect of competitive exclusion in reducing the occurrence of Escherichia coli producing extended-spectrum beta-lactamases in the ceca of broiler chicks. Poult. Sci. 2013;92:250–254. doi: 10.3382/ps.2012-02575. [DOI] [PubMed] [Google Scholar]
- 15.Methner U., Friese A., Rosler U. Competitive exclusion: A tool to combat extended-spectrum beta-lactamase-producing Escherichia coli strains in chickens. Res. Vet. Sci. 2019;123:124–128. doi: 10.1016/j.rvsc.2019.01.003. [DOI] [PubMed] [Google Scholar]
- 16.Ceccarelli D., van Essen-Zandbergen A., Smid B., Veldman K.T., Boender G.J., Fischer E.A.J., Mevius D.J., van der Goot J.A. Competitive Exclusion Reduces Transmission and Excretion of Extended-Spectrum-beta-Lactamase-Producing Escherichia coli in Broilers. Appl. Environ. Microbiol. 2017;83 doi: 10.1128/AEM.03439-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Tiihonen K., Kettunen H., Bento M.H., Saarinen M., Lahtinen S., Ouwehand A.C., Schulze H., Rautonen N. The effect of feeding essential oils on broiler performance and gut microbiota. Br. Poult. Sci. 2010;51:381–392. doi: 10.1080/00071668.2010.496446. [DOI] [PubMed] [Google Scholar]
- 18.Windisch W., Schedle K., Plitzner C., Kroismayr A. Use of phytogenic products as feed additives for swine and poultry. J. Anim. Sci. 2008;86:140–148. doi: 10.2527/jas.2007-0459. [DOI] [PubMed] [Google Scholar]
- 19.Fabian D., Sabol M., Domaracka K., Bujnakova D. Essential oils--their antimicrobial activity against Escherichia coli and effect on intestinal cell viability. Toxicol. In Vitro. 2006;20:1435–1445. doi: 10.1016/j.tiv.2006.06.012. [DOI] [PubMed] [Google Scholar]
- 20.Si W., Gong J., Tsao R., Zhou T., Yu H., Poppe C., Johnson R., Du Z. Antimicrobial activity of essential oils and structurally related synthetic food additives towards selected pathogenic and beneficial gut bacteria. J. Appl. Microbiol. 2006;100:296–305. doi: 10.1111/j.1365-2672.2005.02789.x. [DOI] [PubMed] [Google Scholar]
- 21.Skalicka-Wozniak K., Walasek M., Aljarba T.M., Stapleton P., Gibbons S., Xiao J., Luszczki J.J. The anticonvulsant and anti-plasmid conjugation potential of Thymus vulgaris chemistry: An in vivo murine and in vitro study. Food Chem. Toxicol. 2018;120:472–478. doi: 10.1016/j.fct.2018.07.045. [DOI] [PubMed] [Google Scholar]
- 22.Galan J.C., Gonzalez-Candelas F., Rolain J.M., Canton R. Antibiotics as selectors and accelerators of diversity in the mechanisms of resistance: From the resistome to genetic plasticity in the beta-lactamases world. Front. Microbiol. 2013;4:9. doi: 10.3389/fmicb.2013.00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Porse A., Schonning K., Munck C., Sommer M.O. Survival and Evolution of a Large Multidrug Resistance Plasmid in New Clinical Bacterial Hosts. Mol. Biol. Evol. 2016;33:2860–2873. doi: 10.1093/molbev/msw163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ren H., Zentek J., Vahjen W. Optimization of Production Parameters for Probiotic Lactobacillus Strains as Feed Additive. Molecules. 2019;24:3286. doi: 10.3390/molecules24183286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ren H., Saliu E.-M., Zentek J., Goodarzi Boroojeni F., Vahjen W. Screening of Host Specific Lactic Acid Bacteria Active Against Escherichia coli From Massive Sample Pools With a Combination of in vitro and ex vivo Methods. Front. Microbiol. 2019;10 doi: 10.3389/fmicb.2019.02705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.RESET [(accessed on 18 November 2019)]; Available online: http://www.reset-verbund.de/index.htm.
- 27.Saliu E.M., Eitinger M., Zentek J., Vahjen W. Nutrition Related Stress Factors Reduce the Transfer of Extended-Spectrum Beta-Lactamase Resistance Genes between an Escherichia coli Donor and a Salmonella Typhimurium Recipient In Vitro. Biomolecules. 2019;9:324. doi: 10.3390/biom9080324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Public Health Agency of Sweden and National Veterinary Institute . Consumption of Antibiotics and Occurrence of Antibiotic Resistance in Sweden. Public Health Agency of Sweden; Solna, Sweden: National Veterinary Institute; Debre Zeit, Ethiopia: 2015. Swedres-Svarm 2015. [Google Scholar]
- 29.Mesa R.J., Blanc V., Blanch A.R., Cortes P., Gonzalez J.J., Lavilla S., Miro E., Muniesa M., Saco M., Tortola M.T., et al. Extended-spectrum beta-lactamase-producing Enterobacteriaceae in different environments (humans, food, animal farms and sewage) J. Antimicrob. Chemother. 2006;58:211–215. doi: 10.1093/jac/dkl211. [DOI] [PubMed] [Google Scholar]
- 30.Akinbami O.R., Olofinsae S., Ayeni F.A. Prevalence of extended spectrum beta lactamase and plasmid mediated quinolone resistant genes in strains of Klebsiella pneumonia, Morganella morganii, Leclercia adecarboxylata and Citrobacter freundii isolated from poultry in South Western Nigeria. PeerJ. 2018;6:e5053. doi: 10.7717/peerj.5053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Tamang M.D., Nam H.M., Gurung M., Jang G.C., Kim S.R., Jung S.C., Park Y.H., Lim S.K. Molecular characterization of CTX-M beta-lactamase and associated addiction systems in Escherichia coli circulating among cattle, farm workers, and the farm environment. Appl. Environ. Microbiol. 2013;79:3898–3905. doi: 10.1128/AEM.00522-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ren H., Vahjen W., Dadi T., Saliu E.-M., Boroojeni F.G., Zentek J. Synergistic Effects of Probiotics and Phytobiotics on the Intestinal Microbiota in Young Broiler Chicken. Microorganisms. 2019;7:684. doi: 10.3390/microorganisms7120684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Rehman H.U., Vahjen W., Awad W.A., Zentek J. Indigenous bacteria and bacterial metabolic products in the gastrointestinal tract of broiler chickens. Arch. Anim. Nutr. 2007;61:319–335. doi: 10.1080/17450390701556817. [DOI] [PubMed] [Google Scholar]
- 34.Ferrario C., Alessandri G., Mancabelli L., Gering E., Mangifesta M., Milani C., Lugli G.A., Viappiani A., Duranti S., Turroni F., et al. Untangling the cecal microbiota of feral chickens by culturomic and metagenomic analyses. Environ. Microbiol. 2017;19:4771–4783. doi: 10.1111/1462-2920.13943. [DOI] [PubMed] [Google Scholar]
- 35.Yeoman C.J., Chia N., Jeraldo P., Sipos M., Goldenfeld N.D., White B.A. The microbiome of the chicken gastrointestinal tract. Anim. Health Res. Rev. 2012;13:89–99. doi: 10.1017/S1466252312000138. [DOI] [PubMed] [Google Scholar]
- 36.Zhang Y., Ma Q., Su B., Chen R., Lin J., Lin Z., Wang D., Yu Y. A study on the role that quorum sensing play in antibiotic-resistant plasmid conjugative transfer in Escherichia coli. Ecotoxicology. 2018;27:209–216. doi: 10.1007/s10646-017-1886-0. [DOI] [PubMed] [Google Scholar]
- 37.Kudo H., Usui M., Nagafuji W., Oka K., Takahashi M., Yamaguchi H., Tamura Y. Inhibition effect of flavophospholipol on conjugative transfer of the extended-spectrum beta-lactamase and vanA genes. J. Antibiot. 2019;72:79–85. doi: 10.1038/s41429-018-0113-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Warnes S.L., Highmore C.J., Keevil C.W. Horizontal Transfer of Antibiotic Resistance Genes on Abiotic Touch Surfaces: Implications for Public Health. Mbio. 2012;3 doi: 10.1128/mBio.00489-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rochell S.J., Applegate T.J., Kim E.J., Dozier W.A., 3rd Effects of diet type and ingredient composition on rate of passage and apparent ileal amino acid digestibility in broiler chicks. Poult. Sci. 2012;91:1647–1653. doi: 10.3382/ps.2012-02173. [DOI] [PubMed] [Google Scholar]
- 40.Lopatkin A.J., Sysoeva T.A., You L. Dissecting the effects of antibiotics on horizontal gene transfer: Analysis suggests a critical role of selection dynamics. Bioessays. 2016;38:1283–1292. doi: 10.1002/bies.201600133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lopatkin A.J., Huang S.Q., Smith R.P., Srimani J.K., Sysoeva T.A., Bewick S., Karig D.K., You L.C. Antibiotics as a selective driver for conjugation dynamics. Nat. Microbiol. 2016;1 doi: 10.1038/nmicrobiol.2016.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Simonsen L., Gordon D.M., Stewart F.M., Levin B.R. Estimating the rate of plasmid transfer: An end-point method. J. Gen. Microbiol. 1990;136:2319–2325. doi: 10.1099/00221287-136-11-2319. [DOI] [PubMed] [Google Scholar]
- 43.Sabia C., de Niederhausern S., Guerrieri E., Bondi M., Anacarso I., Iseppi R., Messi P. Interference of Lactobacillus plantarum strains in the in vitro conjugative transfer of R-plasmids. Curr. Microbiol. 2009;58:101–105. doi: 10.1007/s00284-008-9279-5. [DOI] [PubMed] [Google Scholar]
- 44.Moubareck C., Lecso M., Pinloche E., Butel M.J., Doucet-Populaire F. Inhibitory impact of bifidobacteria on the transfer of beta-lactam resistance among Enterobacteriaceae in the gnotobiotic mouse digestive tract. Appl. Environ. Microbiol. 2007;73:855–860. doi: 10.1128/AEM.02001-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nilsson O., Borjesson S., Landen A., Bengtsson B. Vertical transmission of Escherichia coli carrying plasmid-mediated AmpC (pAmpC) through the broiler production pyramid. J. Antimicrob. Chemother. 2014;69:1497–1500. doi: 10.1093/jac/dku030. [DOI] [PubMed] [Google Scholar]
- 46.Mo S.S., Norstrom M., Slettemeas J.S., Lovland A., Urdahl A.M., Sunde M. Emergence of AmpC-producing Escherichia coli in the broiler production chain in a country with a low antimicrobial usage profile. Vet. Microbiol. 2014;171:315–320. doi: 10.1016/j.vetmic.2014.02.002. [DOI] [PubMed] [Google Scholar]
- 47.Orhan I.E., Ozcelik B., Kan Y., Kartal M. Inhibitory effects of various essential oils and individual components against extended-spectrum beta-lactamase (ESBL) produced by Klebsiella pneumoniae and their chemical compositions. J. Food Sci. 2011;76:M538–M546. doi: 10.1111/j.1750-3841.2011.02363.x. [DOI] [PubMed] [Google Scholar]
- 48.Oliva A., Costantini S., De Angelis M., Garzoli S., Bozovic M., Mascellino M.T., Vullo V., Ragno R. High Potency of Melaleuca alternifolia Essential Oil against Multi-Drug Resistant Gram-Negative Bacteria and Methicillin-Resistant Staphylococcus aureus. Molecules. 2018;23:2584. doi: 10.3390/molecules23102584. [DOI] [PMC free article] [PubMed] [Google Scholar]
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