Literature DB >> 32440171

Phenotypic and Genotypic Assessment of Antibiotic Resistance of Staphylococcus aureus Bacteria Isolated from Retail Meat.

Zeinab Torki Baghbaderani1, Amir Shakerian1, Ebrahim Rahimi1.   

Abstract

BACKGROUND: Resistant Staphylococcus aureus (S. aureus) bacteria are determined to be one of the main causes of foodborne diseases.
PURPOSE: This survey was done to assess the genotypic and phenotypic profiles of antibiotic resistance of S. aureus bacteria isolated from retail meat.
METHODS: Four-hundred and eighty-five retail meat samples were collected and examined. S. aureus bacteria were identified using culture and biochemical tests. The phenotypic profile of antibiotic resistance was examined using the disk diffusion method. The genotypic pattern of antibiotic resistance was determined using the polymerase chain reaction.
RESULTS: Forty-eight out of 485 (9.89%) raw retail meat samples were contaminated with S. aureus. Raw retail buffalo meat (16%) had the highest incidence of S. aureus, while raw camel meat (4%) had the lowest. S. aureus bacteria exhibited the uppermost incidence of resistance toward tetracycline (79.16%), penicillin (72.91%), gentamicin (60.41%), and doxycycline (41.666%). The incidence of resistance toward chloramphenicol (8.33%), levofloxacin (22.91%), rifampin (22.91%), and azithromycin (25%) was lower than other examined antibiotics. The most routinely detected antibiotic resistance genes were blaZ (58.33%), tetK (52.08%), aacA-D (33.33%), and ermA (27.08%). Cat1 (4.16%), rpoB (10.41%), msrA (12.50%), grlA (12.50%), linA (14.58%), and dfrA1 (16.66%) had the lower incidence rate.
CONCLUSION: Raw meat of animals may be sources of resistant S. aureus which pose a hygienic threat about the consumption of raw meat. Nevertheless, further investigations are essential to understand supplementary epidemiological features of S. aureus in retail meat.
© 2020 Torki Baghbaderani et al.

Entities:  

Keywords:  Staphylococcus aureus; antibiotic resistance genes; antibiotic resistance pattern; incidence; retail meat

Year:  2020        PMID: 32440171      PMCID: PMC7213866          DOI: 10.2147/IDR.S241189

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Meat is a nutrient foodstuff with highly beneficial effects on human health. It is a rich source of protein, fat, and some kinds of vitamins essential for a healthy life.1–5 Nevertheless, considering the low hygienic conditions of slaughterhouses, numerous outbreaks of foodborne diseases owing to the consumption of contaminated raw or undercooked meat have been reported in diverse parts of the world.1–5 Staphylococcus aureus (S. aureus), a Gram-positive and catalase-positive bacterium, is considered a substantial cause of foodborne diseases identified by a short incubation period, weakness, vomiting, nausea, abdominal cramps, and toxic shock syndrome.6 Raw or undercooked foodstuffs, particularly foods with animal origins, are determined as reservoirs of S. aureus.7 The bacterium has an emergence of resistance toward diverse kinds of antibiotic agents.8 Resistant S. aureus bacteria are responsible for about 100,000 cases of infectious diseases with about 20–30% mortality per annum in the United States.9 Resistant S. aureus bacteria caused more complicated diseases for a longer period of time.10 They are responsible for higher costs of control and treatment.10 Furthermore, a high incidence of resistance toward diverse kinds of antibiotics, particularly penicillins, cephalosporins, tetracyclines, aminoglycosides, macrolides, and fluoroquinolones, has been reported for S. aureus bacteria isolated from foods with animal origin.8,11 The phenotypic presence of antibiotic resistance of S. aureus bacteria is mostly associated with the presence of antibiotic resistance genes.12 A high presence of tetK and tetM, ermA and msrA, gyrA and grlA, blaZ, dfrA, rpoB, aacA-D, linA, and cat1 antibiotic resistance genes in the S. aureus bacteria caused the occurrence of resistance against tetracyclines, macrolides, fluoroquinolones, penicillins, folate inhibitors, ansamycins, aminoglycosides, lincosamides, and phenicols, respectively.12 Considering the high consumption rate of meat, the high importance of S. aureus, and unknown microbial and epidemiological aspects of the bacterium in raw meat samples, an existing survey was carried out to assess the incidence and the phenotypic and genotypic patterns of antibiotic resistance of S. aureus bacteria isolated from diverse kinds of raw retail meat samples.

Materials and Methods

Ethical Consideration

The survey was confirmed by the Ethical Council of Research of the Department of Food Hygiene, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.

Samples

From May to October 2018, a total of 485 numerous kinds of raw meat samples including camel (n=100), buffalo (n=100), sheep (n= 85), beef (n=100), and goat (n=100) were randomly collected from 65 different retail centers of Isfahan province, Iran. Samples (100 g, femur muscle) were directly transferred to the Food Hygiene Research Center. Transmission was carried out by cool boxes.

Isolation and Identification of S. aureus

Twenty-five grams of each collected meat sample were blended with 225 mL of buffered peptone water (Merck, Germany). At that time, solutions were homogenized using Stomacher (Interscience, Saint-Nom, France). Then, 5 mL of the achieved solution was transferred into 50 mL Trypticase Soy Broth (TSB; Merck, Germany) supplemented with 10% NaCl and 1% sodium pyruvate, and incubated for 18 h at 35 °C. Then, a loopful of the culture was transferred into Baird-Parker agar supplemented with egg yolk tellurite emulsion (Merck, Germany) and incubated at 37 °C for about 24 h.5,7 Black shiny colonies surrounded by 2 to 5-mm clear zones were further identified on the basis of Gram staining, hemolytic activity on sheep blood agar (Merck, Germany), catalase activity, coagulated test (rabbit plasma), oxidase test, glucose O/F test, resistance to bacitracin (0.04 U), mannitol fermentation on Mannitol salt agar (Merck, Germany), urease activity, nitrate reduction, phosphatase, deoxyribonuclease (DNase; Merck, Germany) test, Voges–Proskauer (Merck, Germany) test, and carbohydrate (xylose, sucrose, trehalose and maltose, fructose, lactose, mannose) fermentation tests.8,13

Phenotypic Assessment of Antibiotic Resistance

The phenotypic pattern of antibiotic resistance of S. aureus bacteria was investigated using the disk diffusion method on Mueller–Hinton agar (Merck, Germany).13 Principles of the Clinical Laboratory Standard Institute (CLSI) were used for this purpose.14 Diverse kinds of antibiotic agents including aminoglycosides (amikacin (30 µg/disk) and gentamicin (10 µg/disk)), fluoroquinolones (levofloxacin (5 µg/disk) and ciprofloxacin (5 µg/disk)), lincosamides (clindamycin (2 µg/disk)), macrolides (erythromycin (15 µg/disk) and azithromycin (15 µg/disk)), penicillins (penicillin (10 µg/disk)), tetracyclines (doxycycline (30 µg/disk) and tetracycline (30 µg/disk)), phenicols (chloramphenicol (30 µg/disk)), folate pathway inhibitors (trimethoprim–sulfamethoxazole (25 µg/disk)), and ansamycins (rifampin (5 µg/disk)) were used for this goal (Oxoid, UK). The method was completed using the protocol characterized previously.14 S. aureus (ATCC 43300 and ATCC 29213) was used as the quality control organism in antimicrobial susceptibility determination.

Genotypic Assessment of Antibiotic Resistance

S. aureus isolates were subcultured on TSB media (Merck, Germany) and further incubated for 48 h at 37 °C. Genomic DNA was extracted from the bacterial colonies using the DNA extraction kit (Thermo Fisher Scientific, St. Leon-Rot, Germany) according to the manufacturer’s instructions. The purity (A260/A280) and concentration of extracted DNA were then checked (NanoDrop; Thermo Scientific, Waltham, MA, USA). The quality of extracted DNA was assessed using electrophoresis of DNA on a 2% agarose gel stained with ethidium bromide (0.5 μg/mL) (Thermo Fisher Scientific, St. Leon-Rot, Germany). Table 1 presents the polymerase chain reaction  (PCR) protocol used for genotypic assessment of antibiotic resistance.15–21 A programmable DNA thermo-cycler (Eppendorf Mastercycler 5330; Eppendorf-Netheler-Hinz GmbH, Hamburg, Germany) was used in all PCRs. Amplified samples were analyzed by electrophoresis (120 V/208 mA) in 2.5% agarose gel. The gel was stained with 0.1% ethidium bromide (0.4 µg/mL). The UVI doc gel documentation system (Grade GB004; Jencons PLC, London, UK) was applied for analysis of images.
Table 1

PCR Protocol Used for Genotypic Assessment of Antibiotic Resistance

Target GenePrimer Sequence (5ʹ–3ʹ)PCR Product (bp)PCR ProgramsPCR Volume (50µL)
AacA-DF: TAATCCAAGAGCAATAAGGGCR: GCCACACTATCATAACCACTA227
ermAF: AAGCGGTAAACCCCTCTGAR: TTCGCAAATCCCTTCTCAAC190
tetKF: GTAGCGACAATAGGTAATAGTR: GTAGTGACAATAAACCTCCTA360
tetMF: AGTGGAGCGATTACAGAAR: CATATGTCCTGGCGTGTCTA1581 cycle:94 °C — 6 min34 cycles:95 °C — 50 s55 °C — 70 s72 °C — 60 s1 cycle:72 °C — 8 min5 µL PCR buffer 10×2 mM MgCl2200 µM dNTP (Fermentas)0.5 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)5 µL DNA template
msrAF: GGCACAATAAGAGTGTTTAAAGGR: AAGTTATATCATGAATAGATTGTCCTGTT9401 cycle:94 °C — 6 min34 cycles:95 °C — 60 s50 °C — 70 s72 °C — 70 s1 cycle:72 °C — 8 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
linAF: GGTGGCTGGGGGGTAGATGTATTAACTGGR: GCTTCTTTTGAAATACATGGTATTTTTCGA3231 cycle:94 °C — 6 min30 cycles:95 °C — 60 s57 °C — 60 s72 °C — 60 s1 cycle:72 °C — 10 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
blaZF: ACTTCAACACCTGCTGCTTTCR: TGACCACTTTTATCA CAACC4901 cycle:94 °C — 5 min.30 cycles:94 °C — 20 s60 °C — 30 s72 °C — 90 s1 cycle:72 °C — 5 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
cat1F: AGTTGCTCAATGTACCTATAACCR: TTGTAATTCATTAAGCATTCTGCC5471 cycle:94 °C — 8 min32 cycles:95 °C — 60 s55°C — 70 s72 °C — 2 min1 cycle:72 °C — 8 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
gyrAF: AATGAACAAGGTATGACACCR: TACGCGCTTCAGTATAACGC2231 cycle:94 °C — 10 min25 cycles:94 °C — 20 s52 °C — 20 s72 °C — 50 s1 cycle:72 °C — 5 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
grlAF: ACTTGAAGATGTTTTAGGTGATR: TTAGG AAATCTTGATGGCAA459
dfrAF: CTCACGATAAACAAAGAGTCAR: CAATCATTGCTTCGTATAACG2011 cycle:94 °C — 2 min30 cycles:94 °C — 60 s50 °C — 60 s72 °C — 60 s1 cycle:72 °C — 5 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template
rpoBF: ACCGTCGTTTACGTTCTGTAR: TCAGTGATAGCATGTGTATC4601 cycle:94 °C — 5 min32 cycles:94 °C — 60 s56 °C — 45 s72 °C — 60 s1 cycle:72 °C — 10 min5 µL PCR buffer 10×2 mM MgCl2150 µM dNTP (Fermentas)0.75 µM of each primer F & R1.5 U Taq DNA polymerase (Fermentas)3 µL DNA template

Note: Data from references 15–21.

PCR Protocol Used for Genotypic Assessment of Antibiotic Resistance Note: Data from references 15–21.

Statistical Analysis

Statistical analysis was done using SPSS 21.0 statistical software (SPSS Inc., Chicago, IL, USA). The chi-square test and Fisher’s exact two-tailed test were used to assess any significant relationship between the prevalence of S. aureus and the phenotypic and genotypic properties of antibiotic resistance. P value <0.05 was considered a statistically significant level.

Results

Table 2 shows the incidence of S. aureus in diverse kinds of raw retail meat samples. Forty-eight out of 485 (9.89%) raw retail meat samples were contaminated with S. aureus bacteria. Raw retail camel meat (4%) had the lowest incidence of S. aureus, while raw retail buffalo meat (16%) had the highest. A statistically significant difference was found between types of retail meat samples and incidence of S. aureus (P<0.05).
Table 2

Incidence of S. aureus in Diverse Kinds of Retail Meat Samples

Types of Retail Meat SamplesNo. of Samples CollectedNo. of Samples Positive for S. aureus (%)
Camel1004 (4)
Buffalo10016 (16)
Goat1006 (6)
Beef10013 (13)
Sheep859 (10.58)
Total48548 (9.89)
Incidence of S. aureus in Diverse Kinds of Retail Meat Samples Table 3 shows the phenotypic profile of antibiotic resistance of S. aureus bacteria isolated from diverse kinds of retail meat samples. S. aureus bacteria disclosed the highest incidence of resistance toward tetracycline (79.16%), penicillin (72.91%), gentamicin (60.41%), and doxycycline (41.66%) antibiotic agents. Lower incidence of resistance was obtained toward chloramphenicol (8.33%), levofloxacin (22.91%), rifampin (22.91%), and azithromycin (25%) antibiotic agents. A statistically significant difference was found between types of raw retail meat samples and incidence of antibiotic resistance (P<0.05). Moreover, a statistically significant difference was found for the incidence of resistance between gentamicin and amikacin (P<0.05), azithromycin and erythromycin (P<0.05), tetracycline and doxycycline (P<0.05), and ciprofloxacin and levofloxacin (P<0.05) antibiotic agents.
Table 3

Phenotypic Profile of Antibiotic Resistance of S. aureus Isolates Recovered from Diverse Kinds of Retail Meat Samples

Origins (No. of S. aureus Strains)No. (%) of Isolates Resistant to Each Antibiotic
PenicillinsAminoglycosidesMacrolidesTetracyclinesFluoroquinolonesLincosamidesFolate inhibitorsPhenicolsAnsamycins
P10GenAmkAziErtTetDoxCipLevClinTr-SulC30Rif
Camel (4)3 (75)2 (50)1 (25)2 (50)2 (50)3 (75)2 (50)2 (50)2 (50)2 (50)3 (75)1 (25)
Buffalo (16)12 (75)11 (68.75)7 (43.75)4 (25)8 (50)13 (81.25)7 (43.75)7 (43.75)4 (25)6 (37.50)6 (37.50)2 (12.50)4 (25)
Goat (6)4 (66.66)3 (50)2 (33.33)1 (16.66)1 (16.66)4 (66.66)2 (33.33)1 (16.66)1 (16.66)2 (33.33)2 (33.33)1 (16.66)
Beef (13)10 (76.92)8 (61.53)6 (46.15)4 (30.76)6 (46.15)11 (84.61)5 (38.46)5 (38.46)3 (23.07)3 (23.07)5 (38.46)1 (7.69)4 (30.76)
Sheep (9)6 (66.66)5 (55.55)3 (33.33)1 (11.11)1 (11.11)7 (77.77)2 ()1 (11.11)1 (11.11)2 (22.22)2 (22.22)1 (11.11)1 (11.11)
Total (48)35 (72.91)29 (60.41)19 (39.58)12 (25)18 (37.50)38 (79.16)20 (41.66)16 (33.33)11 (22.91)15 (31.25)18 (37.50)4 (8.33)11 (22.91)

Abbreviation: P10, penicillin (10 µg/disk); Gen, gentamicin (10 µg/disk); Amk, amikacin (30 µg/disk); Azi, azithromycin (15 µg/disk); Ert, erythromycin (15 µg/disk); Tet, tetracycline (30 µg/disk); Dox, doxycycline (30 µg/disk); Cip, ciprofloxacin (5 µg/disk); Lev, levofloxacin (5 µg/disk); Clin, clindamycin (2 µg/disk); Tr-Sul, trimethoprim–sulfamethoxazole (25 µg/disk); C30, chloramphenicol (30 µg/disk); Rif, rifampin (5 µg/disk).

Phenotypic Profile of Antibiotic Resistance of S. aureus Isolates Recovered from Diverse Kinds of Retail Meat Samples Abbreviation: P10, penicillin (10 µg/disk); Gen, gentamicin (10 µg/disk); Amk, amikacin (30 µg/disk); Azi, azithromycin (15 µg/disk); Ert, erythromycin (15 µg/disk); Tet, tetracycline (30 µg/disk); Dox, doxycycline (30 µg/disk); Cip, ciprofloxacin (5 µg/disk); Lev, levofloxacin (5 µg/disk); Clin, clindamycin (2 µg/disk); Tr-Sul, trimethoprim–sulfamethoxazole (25 µg/disk); C30, chloramphenicol (30 µg/disk); Rif, rifampin (5 µg/disk). Table 4 shows the genotypic profile of antibiotic resistance of S. aureus bacteria isolated from diverse kinds of retail meat samples. BlaZ (58.33%), tetK (52.08%), aacA-D (33.33%), and ermA (27.08%) were the most commonly recognized antibiotic resistance genes amongst the S. aureus isolates. Incidences of cat1 (4.16%), rpoB (10.41%), msrA (12.50%), grlA (12.50%), linA (14.58%), and dfrA1 (16.66%) were lower than other detected antibiotic resistance genes. A statistically significant difference was found between types of raw retail meat samples and the incidence of antibiotic resistance genes (P<0.05). Furthermore, a statistically significant difference was found between the incidence of tetK and tetM (P<0.05), msrA and ermA (P<0.05), and gyrA and grlA (P<0.05) antibiotic resistance genes.
Table 4

Genotypic Profile of Antibiotic Resistance of S. aureus Isolates Recovered from Diverse Kinds of Retail Meat Samples

Origins (No. of S. aureus Strains)No. (%) of Isolates Harbored Each Gene
AminoglycosidesTetracyclinesMacrolidesLincosamidesPenicillinsFolate inhibitorsFluoroquinolonesAnsamycinsPhenicols
aacA-DtetKtetMmsrAermAlinAblaZdfrAgyrAgrlArpoBcat1
Camel (4)1 (25)2 (50)1 (25)1 (25)2 (50)1 (25)3 (75)1 (25)1 (25)1 (25)1 (25)
Buffalo (16)8 (50)10 ()4 (25)2 (12.50)5 (31.25)3 (18.75)9 (56.25)3 (18.75)4 (25)2 (12.50)2 (12.50)1 (6.25)
Goat (6)1 (16.66)2 (33.33)1 (16.66)1 (16.66)1 (16.66)3 (50)1 (16.66)1 (16.66)
Beef (13)4 (30.76)7 (53.84)3 (23.07)2 (15.38)4 (30.76)1 (7.69)8 (61.53)2 (15.38)3 (23.07)2 (15.38)1 (7.69)1 (7.69)
Sheep (9)2 (22.22)4 (44.44)1 (11.11)1 (11.11)1 (11.11)1 (11.11)5 (55.55)1 (11.11)1 (11.11)1 (11.11)1 (11.11)
Total (48)16 (33.33)25 (52.08)10 (20.83)6 (12.50)13 (27.08)7 (14.58)28 (58.33)8 (16.66)10 (20.83)6 (12.50)5 (10.41)2 (4.16)
Genotypic Profile of Antibiotic Resistance of S. aureus Isolates Recovered from Diverse Kinds of Retail Meat Samples

Discussion

S. aureus, a pathogen involved in severe gastrointestinal disorders and foodborne diseases, has an emergence of antibiotic resistance. Contaminated meat of animal species is considered one of the likely causes of transmission of antibiotic-resistant S. aureus to the human population.22 An existing survey addressed the incidence rate and phenotypic and genotypic profiles of antibiotic resistance of S. aureus bacteria recovered from raw beef, sheep, goat, camel, and buffalo retail meat samples. The incidence of S. aureus in the examined samples was 9.89%. The higher incidence rate was found in buffalo meat samples (16%), while the lower was found in camel meat samples (4%). This finding is possibly owing to the different diet of diverse animal species which may affect the incidence of bacteria. Furthermore, higher manipulation of buffalo carcasses by contaminated veterinarians through inspection in the slaughterhouse is another imperative risk factor for contamination. Moreover, the low number of camel slaughtering which can reduce the risk of cross-contamination may be another reason for the low incidence of S. aureus in camel retail meat. Foodstuff contamination with S. aureus may occur straight from infected food-producing animals (or their products such as meat) or may result from poor hygiene throughout production processes, or the retail and storage of food, since humans may also harbor microorganisms. Diverse surveys have been conducted in this field in Japan,23 Korea,24 Italy,25 and the Netherlands.26 The incidence of S. aureus bacteria in raw retail meat samples collected from Brazil,27 Turkey,28 Egypt,29 Germany,30 and Denmark31 was 21.72%, 30%, 40.80%, 71.50%, and 52.00%, respectively, which all were much higher than our findings. Additionally, the role of raw retail meat as a reservoir of S. aureus bacteria has been reported in surveys performed in Australia,32 the United Kingdom,33 and the United States.34 Hasanpour Dehkordi et al8 conveyed that the incidence of S. aureus bacteria in raw retail beef, sheep, goat, and camel meat samples was 16.00%, 24.00%, 20.40%, and 10.00%, respectively. Table 5 summarizes the isolation rate of S. aureus in different types of meat samples obtained from previous research.35–48
Table 5

Summarizing the Isolation Rate of S. aureus in Different Types of Meat Samples Obtained from Previous Research

Type of Meat SamplesIsolation Rate of S. aureus (%)Studied Region/YearReferences
Camel14.50Egypt/2019[35]
Camel11.70Ethiopia/2017[36]
Buffalo16.70India/2017[37]
Poultry17.24Saudi Arabia/2016[38]
Camel50
Lamb/mutton20.83
Beef13.04
Camel10.70Saudi Arabia/2019[39]
Beef20.50United States/2011[40]
Camel45Egypt/2019[41]
Meat products15.30–61.50Iran/2019[42]
Red meat18Libya/2019[43]
Chicken40
Beef57.50Iran/2013[44]
Lamb68.80
Goat47.50
Camel46
Chicken40.50Japan/2005[45]
Camel40Nigeria/2016[46]
Pork47.70China/2018[47]
Beef50.40
Poultry67.90
Mutton54.50
Beef24.50United States/2017[34]
Chicken13.50
Pork22.60
Turkey50.90
Beef68Denmark/2017[31]
Beef10.60The Netherlands/2009[26]
Veal15.20
Lamb6.20
Mutton6.20
Pork10.70
Chicken16
Turkey35.30
Fowl3.40
Game2.20
Beef17.30Turkey/2010[48]
Poultry63.60
Summarizing the Isolation Rate of S. aureus in Different Types of Meat Samples Obtained from Previous Research The contamination rate of raw meat samples with S. aureus varies between diverse research studies. The difference in data advises that the time, season, place of sampling, method of sampling, types of samples, and even laboratory techniques applied in research may affect the outcomes of surveys. Moreover, different hygienic levels of butchers and retail centers may affect the incidence of bacteria in diverse investigations. Otherwise, the sample sizes, sample types, and geographic locations of research may be the reason for these differences. Compared to the results of other scientists, the comparatively low rate of S. aureus isolation was reported in our survey. This is expected because in fresh meat S. aureus is not a good competitor with normal microflora. The reasons for this finding are not clear, but since antibiotic prescription is higher than required, a lower incidence of S. aureus is possible. Our survey also disclosed considerable incidence of resistance toward diverse groups of antibiotics, particularly aminoglycosides, fluoroquinolones, lincosamides, macrolides, penicillins, tetracyclines, phenicols, folate pathway inhibitors, and ansamycins, which was accompanied with the presence of aacA-D, gyrA and grlA, linA, msrA and ermA, blaZ, tetK and tetM, cat1, dfrA1, and rpoB antibiotic resistance genes, respectively. Thus, the phenotypic pattern of antibiotic resistance of S. aureus bacteria was confirmed by the genotypic profile. Furthermore, our outcomes disclosed that some S. aureus bacteria exhibited higher incidence of resistance toward antibiotics used for human beings which can indirectly signify their anthropogenic source. Reversely, some others exhibited higher incidence of resistance toward antibiotics used for animal beings which can indirectly demonstrate their animal origins. Similar resistance profiles of S. aureus bacteria isolated from dissimilar kinds of foodstuffs and clinical specimens have also been determined toward aminoglycosides,5,13,49-52 cephems,5,13,49–51 penicillins,5,13,49–51 macrolides,5,13,49–51 tetracyclines,5,13,49,50 fluoroquinolones,5,13,49–52 lincosamides,5,13,49–51 folate inhibitors,5,13,49–52 phenicols,5,13,49 and ansamycins5,13,49,50. Momtaz et al5 reported that the S. aureus strains with meat origins harbored the highest prevalence of resistance against tetracycline (97.50%), methicillin (75.60%), sulfamethoxazole (31.70%), trimethoprim (31.70%), streptomycin (31.70%), gentamicin (29.20%), enrofloxacin (28.00%), ampicillin (26.8%), chloramphenicol (20.70%), and cephalothin (17.00%) antibiotic agents. Hasanpour Dehkordi et al8 determined that S. aureus bacteria isolated from raw meat samples had a high incidence of resistance toward ampicillin (100%), ceftriaxone (80.00%), amoxicillin–clavulanic acid (50.00%), lincomycin (61.20%), tetracycline (55.00%), gatifloxacin (96.80%), minocycline (51.20%), cotrimoxazole (45.60%), clindamycin (54.30%), azithromycin (48.10%), erythromycin (37.50%), oxacillin (76.20%), and penicillin (100%) antibiotic agents. Fowoyo and Ogunbanwo53 disclosed that the S. aureus bacteria recovered from ready to eat foodstuffs exhibited a high incidence of resistance toward trimethoprim–sulfamethoxazole (74.90%), ampicillin (86.70%), cefotaxime (3.50%), amoxicillin–clavulanic acid (52.50%), ciprofloxacin (23.90%), oxacillin (35.70%), gentamicin (11.40%), erythromycin (15.70%), and ofloxacin (7.10%). The high incidence of resistance toward chloramphenicol (8.33%) may be due to its unlawful and unselective prescription especially in veterinary medicine. Akanbi et al54 reported that blaZ, mecA, rpoB, ermB, and tetM were the most commonly identified antibiotic resistance genes amongst the S. aureus bacteria recovered from food samples in South Africa. High distribution of mecA, gyrA, grlA, and cfr genes was also described in the S. aureus bacteria recovered from chicken meat in Egypt.55 Another Iranian survey56 disclosed that oxacillin-, gentamicin-, penicillin-, tetracycline-, and erythromycin-resistant S. aureus bacteria isolated from milk and dairy products harbored high incidence of blaZ, aacA-aphD, mecA, tetK and tetM, ermB, ermA, ermT, ermC, msrB, and msrA antibiotic resistance markers likewise to our survey. A similar phenotypic profile of antibiotic resistance was also reported from Iran57 and China.58 Differences in the opinion of medical and veterinary practitioners in antibiotic prescription, observation of ethics and rules in the use of antibiotics, availability or lack of antibiotics, and their prices are probable reasons for differences found in the incidence of resistance of S. aureus strains in numerous investigations. In a survey which was conducted by Bantawa et al,59 S. aureus bacteria isolated from buffalo, chicken, pork, and goat meat samples in eastern Nepal harbored a high incidence of resistance (10–100%) against amoxicillin, tetracycline, cefotaxime, and nalidixic acid. Our findings also disclosed higher incidence of a phenotypic profile of resistance than a genotypic profile. For example, all of the penicillin-resistant S. aureus bacteria did not harbor blaZ antibiotic resistance genes. This matter also existed for other antibiotic agents and resistance genes. This finding may be owing to the fact that the presence of antibiotic resistance genes is one of the known procedures for the occurrence of antibiotic resistance in bacteria. On the other hand, several mechanisms have been identified to induce antibiotic resistance in bacteria including reduced permeability of bacteria to antibiotics, efflux antibiotic active pumps out of the bacterial cell, change in antibiotic target site, inactivation of antibiotics through hydrolysis or changes in their structure, occurrence of genetic mutations, and access of bacteria to the secondary metabolic pathways that compensate the antibiotic-inhibited reactions.

Conclusion

In conclusion, a high incidence of S. aureus in examined samples, particularly raw retail buffalo and beef meat samples, was accompanied with a high incidence of resistance toward diverse classes of antibiotic agents and also dissimilar antibiotic resistance genes. An existing survey is an initial report of the genotypic evaluation of antibiotic resistance of the S. aureus bacteria isolated from raw retail buffalo and camel meat samples. High incidence of resistance of S. aureus bacteria toward tetracycline, penicillin, gentamicin, and doxycycline antibiotic agents and also high frequency of blaZ, tetK, aacA-D, and ermA antibiotic resistance genes may pose an imperative menace regarding the role of raw or undercooked meat consumption on the transmission of antibiotic-resistant S. aureus. Incidence of resistance toward human-based and also animal-based antibiotics can indirectly show the origin of S. aureus isolates. It seems that tetracycline, penicillin, gentamicin, and doxycycline are not effective therapeutic agents in the cases of S. aureus foodborne diseases in Iran. Slaughterhouses can be severely contaminated with foodborne pathogens,46–49 so the maintenance of slaughter hygiene, regular microbiological monitoring of carcasses, implementation of good manufacturing practices, and a food safety system such as the HACCP system are essential to minimize the risk to the consumer. Additionally, appropriate cooking of raw meat before consumption, prevention from cross-contamination, and antibiotic prescription based on the outcomes of disk diffusion can diminish the risk of transmission of resistant S. aureus bacteria from meat to the human population. However, supplementary surveys are essential to determine more epidemiological features of the S. aureus bacteria in raw retail meat of animal species. Our research highlights the importance of controlling the antibiotic susceptibility of S. aureus in foodstuffs such as food-producing animals, retail foods, and even human beings, and this information could be used proactively to assist Iranian industries to progress better-quality food safety measures. Otherwise, on the basis of these observations, we recommend that attention should be paid by governments and individuals to prevent the further spread of antibiotic-resistant S. aureus.
  46 in total

1.  A note on the incidence and antibiotic resistance of Staphylococcus aureus isolated from meat and chicken samples.

Authors:  N Gundogan; S Citak; N Yucel; A Devren
Journal:  Meat Sci       Date:  2004-12-09       Impact factor: 5.209

2.  Methicillin-resistant Staphylococcus aureus in raw meats and prepared foods in public hospitals in salvador, Bahia, Brazil.

Authors:  Wellington Luis Reis Costa; Jeane dos Santos Ferreira; Joelza Silva Carvalho; Ellayne Souza Cerqueira; Lucimara Cardoso Oliveira; Rogeria Comastri de Castro Almeida
Journal:  J Food Sci       Date:  2014-12-03       Impact factor: 3.167

3.  Detection and molecular characterization of Livestock-Associated MRSA in raw meat on retail sale in North West England.

Authors:  A Fox; B Pichon; H Wilkinson; M Doumith; R L R Hill; J McLauchlin; A M Kearns
Journal:  Lett Appl Microbiol       Date:  2017-01-28       Impact factor: 2.858

4.  Antimicrobial resistance pattern of methicillin-resistant Staphylococcus aureus in the food industry.

Authors:  D Paludi; A Vergara; A R Festino; P Di Ciccio; C Costanzo; M Conter; E Zanardi; S Ghidini; A Ianieri
Journal:  J Biol Regul Homeost Agents       Date:  2011 Oct-Dec       Impact factor: 1.711

5.  Prevalence of methicillin-resistant Staphylococcus aureus in meat.

Authors:  E de Boer; J T M Zwartkruis-Nahuis; B Wit; X W Huijsdens; A J de Neeling; T Bosch; R A A van Oosterom; A Vila; A E Heuvelink
Journal:  Int J Food Microbiol       Date:  2008-12-13       Impact factor: 5.277

6.  Prevalence and characterization of methicillin-resistant Staphylococcus aureus isolates from retail meat and humans in Georgia.

Authors:  Charlene R Jackson; Johnnie A Davis; John B Barrett
Journal:  J Clin Microbiol       Date:  2013-01-30       Impact factor: 5.948

7.  Multiplex PCR assay for simultaneous detection of nine clinically relevant antibiotic resistance genes in Staphylococcus aureus.

Authors:  Birgit Strommenger; Christiane Kettlitz; Guido Werner; Wolfgang Witte
Journal:  J Clin Microbiol       Date:  2003-09       Impact factor: 5.948

8.  Prevalence of types of methicillin-resistant Staphylococcus aureus in turkey flocks and personnel attending the animals.

Authors:  A Richter; R Sting; C Popp; J Rau; B-A Tenhagen; B Guerra; H M Hafez; A Fetsch
Journal:  Epidemiol Infect       Date:  2012-02-10       Impact factor: 2.451

9.  Prevalence and antimicrobial resistance profile of Staphylococcus in dairy farms, abattoir and humans in Addis Ababa, Ethiopia.

Authors:  Takele Beyene; Halefom Hayishe; Fikru Gizaw; Ashenafi Feyisa Beyi; Fufa Abunna; Bedaso Mammo; Dinka Ayana; Hika Waktole; Reta Duguma Abdi
Journal:  BMC Res Notes       Date:  2017-04-28

10.  Staphylococcus aureus Isolated From Retail Meat and Meat Products in China: Incidence, Antibiotic Resistance and Genetic Diversity.

Authors:  Shi Wu; Jiahui Huang; Qingping Wu; Jumei Zhang; Feng Zhang; Xiaojuan Yang; Haoming Wu; Haiyan Zeng; Moutong Chen; Yu Ding; Juan Wang; Tao Lei; Shuhong Zhang; Liang Xue
Journal:  Front Microbiol       Date:  2018-11-15       Impact factor: 5.640

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  2 in total

1.  Prevalence and Antimicrobial Resistance of Staphylococcus aureus and Coagulase-Negative Staphylococcus/Mammaliicoccus from Retail Ground Meat: Identification of Broad Genetic Diversity in Fosfomycin Resistance Gene fosB.

Authors:  Masako Osada; Meiji Soe Aung; Noriko Urushibara; Mitsuyo Kawaguchiya; Nobuhide Ohashi; Mina Hirose; Nobumichi Kobayashi
Journal:  Pathogens       Date:  2022-04-14

2.  Antibiotic resistance in the pathogenic foodborne bacteria isolated from raw kebab and hamburger: phenotypic and genotypic study.

Authors:  Maryam Rajaei; Mir-Hassan Moosavy; Sahar Nouri Gharajalar; Seyed Amin Khatibi
Journal:  BMC Microbiol       Date:  2021-10-07       Impact factor: 3.605

  2 in total

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