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The Utility of MALDI-TOF-Mass Spectrometry, Analytical Profile Index (API) and Conventional-PCR for the Detection of Foodborne Pathogens from Meat

Tsepo Ramatla*, Lubanza Ngoma, Mulunda Mwanza

Department of Animal Health, School of Agriculture, Faculty of Natural and Agricultural Sciences, Mafikeng Campus, North-West University, Private Bag X2046, Mmabatho, South Africa, 2735.

Abstract: The rich nutrient composition of meat and its sufficient water activity supports the growth of both spoilage and pathogenic bacteria. The microbial quality of 150 raw meat samples (50 chicken, 50 pork and 50 beef) were evaluated for foodborne pathogens using Analytical Profile Index (API Staph-Ident kit, API-20E strips and API-20A), MALDI-TOF-MS, and conventional PCR. Thirty isolates (30) were identified using biochemical tests and Confirmatory biochemical test (API). All 30 isolates were confirmed by 16S rDNA PCR and sequencing. Detected isolates are Macrococcus caseolyticus 57%, Enterococcus faecalis 23%, Bacillus cereus 3%, Enterococcus mundtii 3%, Escherichia coli 3%, Citrobacter freundii 3%, and Clostridium subterminale 3%. Seven (23%) isolates were correctly identified using MALDI-TOF MS, whilst 18 (60%) isolates were misidentified, and 5 isolates were not detected (No peaks). Seventy three percent 73% (22) of the organisms showed high degree of resistance to tetracycline, followed by sulphonamide with 13% (4/30), and ciprofloxacin 3% (1/30). However, Bacillus cereus, Citrobacter freundii were not resistant to any of the antibiotics. All the isolates were susceptible to streptomycin. Furthermore, some bacteria exhibited multiple antibiotic resistances with tetracycline. Due to the presence and potential hazard of pathogens in meat samples, the detection of these pathogens in different types of meat is vital to maintain public health.

Keywords: MALDI-TOF MS, API, PCR, antimicrobial resistance, meat contamination, food safety

Received July 20, 2021; Revised August 21, 2021; Accepted August 30, 2021

Citation: Tsepo Ramatla, Lubanza Ngoma, Mulunda Mwanza, The Utility of MALDI-TOF-Mass Spectrometry, Analytical Profile Index (API) and Conventional-PCR for the Detection of Foodborne Pathogens from Meat. Journal of Food and Nutrition Research, 9 (8). 442-448. January 2021. doi:10.12691/jfnr-9-8-7

1. Introduction

Meat, a rich source of protein, low in carbohydrate content and with sufficient water activity, supports the growth of both spoilage and pathogenic bacteria [1]. Food-borne illness caused by microbial contamination of foods is an important international public health problem and is known to be a major cause of diarrheal diseases especially in developing countries [2]. Different methods have been used to detect microorganisms in food [3].

One of those methods is MALDI-TOF mass spectrometry (MS) which has been used in the analysis of different biomolecules for decades and its application to microbiological diagnosis seems to be promising valuable screening and rapid identification method [4,5,6,7]. The polymerase chain reaction (PCR) has revolutionized quantification and detection of pathogens. This assay is a useful device to conquer time-consuming assays [8] and its technique is rapid, specific, and more sensitive [9]. PCR assays are now extensively used in the detection and identification of microorganisms [10,11]. Therefore, it can be used as a trustworthy means of identification and detection of microorganisms in resource-limited countries [10,11,12].

Veterinary antimicrobial use is a selective force for the appearance and prevalence of antimicrobial resistant bacteria in animal products [13]. Despite obvious benefits, improper use of different classes of antibiotic causes bacterial resistance against infectious diseases [14]. Some antibiotics like Tetracycline, undergo minimal metabolism and they are mainly excreted in urine and faeces in their microbiologically inactive forms. They are widely distributed in the body with the highest concentrations of residue being found in kidney and liver [15]. This tissue distribution pattern is comparable in all food producing animals [15,16].

This study was aimed at evaluating foodborne pathogens in meat samples using Analytical Profile Index (API), MALDI-TOF MS, and PCR and to assess the microbial and antibiotic profile of the three major types of meat (beef, chicken and pork) sold at the butcheries and supermarkets around city of Mafikeng in North West Province of South Africa.

2. Materials and Methods

2.1. Sampling

A total of 150 raw meat (muscle, liver and kidney) samples consisting of chicken (50 specimen), pork (50 specimen), and beef (50 specimen), were randomly collected in butcheries and supermarkets around Mafikeng, the capital city of the North West province and were packed in properly labelled sterile polyethylene bags and transported under a complete aseptic condition in an icebox to the laboratory. All samples were collected within the recommended dates for consumption. The samples were kept in -20°C freezer until further processing.

2.2. Bacterial Isolation from Samples

2.2.1. Bacterial Culturing

Twenty-five grams (25 g) of each sample was chopped by sterile blade on cutting board and transferred to 225 mL of Nutrient Broth (NB) and mixed homogenously for 5 min, the samples were enriched overnight and incubated at 37°C. After 24 hrs, a sterile wire loop full of broth was streaked onto different media including Mannitol salt agar (HiMedia®, India), MacConkey (Acumedia LAB, Neogen culture media, Heywood, Lancashire, UK), and Nutrient agar (Merck, Wadeville, South Africa) then incubated at 37°C for 24 hrs. The obtained isolates were purified by further sub-culturing and observed for presumptive identification based on their morphological characteristics and various biochemical tests [17]. The Bergey's Manual of Systematic Bacteriology [18] was used to characterize different isolates. Bacterial colonies with dissimilar morphology were selected and purified on nutrient agar for API, DNA extraction and MALDI-TOF MS.

2.2.2. Primary Biochemical Test

Gram-staining, Voges Proskauer, urease, catalase, oxidase, indole, and coagulase test methods were done as previously reported by other authors [17,19,20].

2.3. Confirmatory Biochemical Tests

Isolates that satisfied morphological structures and primary biochemical tests were confirmed using the Analytical Profile Index (API) API Staph kit (BioMe´rieux, Marcy-l’Etoile, France), API-20E bioMérieux Vitek, St. Louis, MO, USA) and API-20A (BioMérieux, Marcy-L’Etoile / France). The test was performed according to the manufacturer’s instructions.

2.4. MALDI-TOF for Identification of Bacteria

After purification of the isolates, 5-10 mg of colonies were harvested and submitted to the Department of Microbiology and Plant Pathology (University of Pretoria) for analysis. To identify isolated bacteria, matrix assisted laser desorption/ionisation time-of-flight MALDI-TOF-MS (Bruker Daltonik GmbH, Germany) analysis was used.

2.5. Molecular Characterization of the Isolates

2.5.1. Extraction of Genomic

Pure isolates from the Nutrient agar were inoculated into 20 mL of nutrient broth aerobically at 37°C for 24 hrs while shaking. Total genomic DNA of cultivated isolates was extracted following the manufacture’s recommendation (Zymo-Research Fungal/Bacterial Soil Microbe DNA MiniPrep kit,USA). Extracted DNA was eluted with 100 μL of DNA elution buffer into a 1.5 mL microcentrifuge tube and stored at -20°C until PCR was performed. The DNA concentration was determined by using NanoDrop ND-1000 UV spectrophotometer (Thermo-Fisher Scientific Inc., USA) with a wavelength of 260 nm. The extracted DNA was kept in −20°C until PCR was performed.

2.5.2. Amplification of 16S rDNA Gene and Sequencing

Amplification of the 16S rDNA gene was carried out by polymerase chain reaction using an Engine DYAD Peltier thermal cycler (Bio-Rad, Johannesburg, South Africa). Reaction volume of 25 μL, containing: 12.5 μL of 10× PCR Master Mix, 1 μL template DNA, 8.5 μL nuclease-free water and 1 μL each of oligonucleotide primer, and nuclease-free water was used as negative control. PCR of endophytic bacteria was done by using the universal primers: forward 27F (5'-AGA GTT TGA TCC TGG CTC AG-3') and reverse 1492R (5'-TGA CTG ACT GAG GCT ACC TTG CGA-3'). PCR conditions consisted of an initial denaturation step at 95°C for 5 min followed by 35 cycles of denaturation at 94oC for 30 sec, annealing at 61°C for 30 sec and extension at 72°C for 5 min, followed by single final extension step at 72°C for 7 min and infinite hold at 4°C. Amplified PCR products were resolved in 1% agarose gel discoloured with ethidium bromide (0.1 μg/ml) and visualized with Syngene Ingenius Bioimager (UK) to confirm the expected size of the product.

Purified PCR positive fragments of the 16S rDNA were sent for sanger sequencing at Inqaba Biotechnical Industrial (Pty) Ltd. (Pretoria, South Africa). The acquired sequences were aligned against GenBank database using nucleotide Basic Local Alignment Search Tool (BLASTn) (https://blast.ncbi.nlm.nih.gov/Blast.cgi) from the National Center for Biotechnology Information (NCBI) database to identify sequences with high similarity.

2.6. Antibiotic Susceptibility Profiles of the Isolates

Fresh overnight cultures were prepared and used for antibiotic sensitivity tests. The discs diffusion method was conducted on a Mueller Hinton agar (Biolab, supplied by Merck). Six (6) mm filter paper disk impregnated with a known concentration of an antimicrobial compound was placed on a Mueller-Hinton (MH) agar and was incubated aerobically at 37°C for 24 hrs. Antibiotic susceptibility profiles of different species isolated were tested against four different antimicrobial agents and outcomes reported as percentages. Antibiotic susceptibility pattern was determined by Kirby Bauer disc diffusion method [21] using a wide range of commonly used antibiotics including Streptomycin (300μg), Tetracycline (30μg), Sulphonamides (300μg) and Ciprofloxacin (5μg) and they were obtained from Davies’s diagnostics (Davies’s diagnostics, SA). The inhibition zone was measured in millimeters to interpret Sensitive, Intermediate or Resistance in accordance with the guidelines of the Clinical Laboratory Institute Standards.

3. Results

3.1. The Detection of Isolates Using API, MALDI-TOF MS and PCR

Thirty isolates were identified and confirmed through MALDI-TOF MS, Analytical Profile Index (API) and PCR technique. Preliminary results from primary biochemical tests were confirmed by the Analytical Profile Index strips test for the identification of isolates. The positive isolates at the API-Ident were 98.9% likelihood level. Sequencing 16S rDNA gene and all 30 isolates showed 96%−100% identity according to BLASTn sequence homology results. All the sequences were deposited to the GenBank database to obtain accession numbers (MG543814 - MG543843) indicated in Table 1. Thirty isolates (30) identified in this study are as follows: Macrococcus caseolyticus 57% (17/30), Enterococcus faecalis 23% (7/30), Bacillus cereus 3% (1/30), Enterococcus mundtii 3% (1/30), Escherichia coli 3% (1/30), Citrobacter freundii 3% (1%) and Clostridium subterminale 3% (1/30). Seven (23%) isolates were correctly identified using MALDI-TOF MS, 18 (60%) isolates were misidentified. This technique was unable to provide identification or similarity for five isolates (M5, M60, M102, M16Y and M85) i.e. there were no peaks for such samples.

3.2. Frequency of Occurrence

Seven different genera of bacteria were isolated from the meat sample with M. caseolyticus having the highest occurrence of 30%, 17% and 10% found in the liver, muscle and kidney of the meat samples respectively. Followed by 13% occurrence of E. faecalis in the liver and 10% for muscle. Seven percent occurrence of B. cereus was found in the liver. The remaining four genera had only 3% occurrence each in the different parts of the meat (Table 2).

Table 1. Results for 30 isolates; MALDI-TOF and 16S sequencing (PCR)

Table 2. Number of isolates and their percentages isolated from different organs: Liver, muscle, and kidney

3.3. Antibiotic Susceptibility

The results in Table 3 show the antimicrobial profile of eight isolates which showed a high resistance rate to tetracycline; M. caseolyticus 53.3% (16/30), followed by E. faecalis 13% (4/30), E. mundtii 3.33% (1/30) then E. coli 3.33% (1/30). Ten percent (3) of M. caseolyticus and E. faecalis 3.33% (1/30) were resistant to sulphonamide. One isolate (E. faecalis) was resistant to ciprofloxacin. However, B. cereus, C. freundii were not resistant to any of the tested antibiotics. Out of 30, 53.3% was for a non-pathogenic M. caseolyticus, while 20% was for the pathogenic, which is an indication that the overall level of resistance was low from the pathogenic bacteria. All the isolates were susceptible to streptomycin.

Table 3. Resistance, susceptible and intermediate resistance patterns of microorganisms in the meat samples to sulphonamides, tetracyclines, ciprofloxacin and streptomycin

4. Discussion

In this study, biochemical tests, MALDI-TOF and PCR identifications were performed in order to identify organisms. A combination of PCR and sequencing showed accuracy for identification of 30 microbes whereby M. caseolyticus, E. faecalis, B. cereus, E. mundtii, E. coli, C freundii, and C. subterminale were detected from meat samples. However, MALDI-TOF only detected 27% (M. caseolyticus) isolates which were correctly identified. Previous studies of Bagge et al., [22] and Nucera et al. [23], also reported that PCR was accurate as a diagnostic test for bacterial identification while MALDI-TOF identification was not a reliable and efficient identification method. They indicated that both API and PCR (at the 99.9% likelihood level) were demonstrated to be accurate diagnostic tests for bacterial identification. Therefore, validation of both PCR and API as accurate diagnostic tests suggests that either of them can be used with similar results. The advantage of PCR is that positive products were sequenced and the obtained 16S rDNA gene sequences were aligned in BLASTn to find their matching sequences on NCBI GenBank database, which insured accurate identification of detected bacteria. The 16S rDNA gene sequence allows for a superior identification of poorly described and rarely isolated strains [24]. This molecular technique is routinely used in the food industry [20], microbial ecological studies [25], clinical studies [26], for the identification of novel pathogens and uncultured microbes [17].

Despite not being accurate in this study, MALDI-TOF MS has been used detect a large number of bacterial species based on their protein fingerprint mass spectra [7,27]. However, it is unable to differentiate between related species such as E. coli from Shigella spp. [28]. In some cases, where the MALDI-TOF MS cannot generate the results, it is because the relevant species information is not obtained from the database [28,29,30]. Therefore, the reliability of detection can be attained by placing new reference spectra in the database [31,32,33]. In addition, Abd El‐Aziz at al [34] also reported that MALDI-TOF MS is unable to detect all organisms in polymicrobial infections.

The M. caseolyticus has been detected in this study with the highest percentage incidence in the meat sample (Liver, kidney and muscle). It has been implicated as a food spoilage causative organism and is also known as indicator of faecal contamination which suggest poor handling and hygiene status [35]. Bacteria such as M. caseolyticus originate from animal sources such as cows, in food-processing factory and it can also be isolated from animal skin and meat, and has also been isolated from a skin swab of chicken in Japan [36].

Despite isolating different organisms, pathogenic organisms were also isolated. The relatively high frequency of occurrence of pathogenic organisms; E. mundtii, Bacillus spp., Bacillus cereus, Enterococcus spp. and Escherichia spp. E. coli can be pathogenic both within and outside the gastrointestinal tract. Although the frequency of E. coli in the samples was low (3%), its presence in the meat sample (Liver) tested in this study calls for concern as the presence of the organism in foods is linked to feacal contamination. The findings of this study concur with previous studies conducted by Bahadoripour et al. [37], Kiranmayi, and Krishnaiah [38] whereby 26% and 11% samples were contaminated with E. coli respectively. Moreover, in a study conducted in Ahvaz, South West of Iran, 28% E. coli was detected in beef [39]. This is contrast to what was previously reported by Ali et al., [40] in Pakistan who detected E. coli (35%) as the first predominant bacterial isolates from hotels, butchery and abattoir in raw meat sold in Pakistan. Additionally, similar study in Nigeria [41] recorded 13.3% occurrence of E. coli as the second major bacterial isolates in street-vended-ready-to-eat fish.

The other pathogenic isolate detected in this study is Enterococcus faecalis which is the third most generally isolated healthcare pathogen [42]. The frequency of E. faecalis was higher in the muscles (13%) followed by liver (10%). While E. mundtii carriers was only found in the liver (3%) These species are capable of causing a range of infections such as sepsis, endocarditis, and urinary tract infections in humans [43,44]. So far more than ninety percent (90%) of enterococcal infections are caused by two species: E. faecium and E. faecalis [42]. Enterococci have been recognised as an important cause of nosocomial infections, the most common cause of this is E. faecalis and E. faecium [45]. Isolation of these organisms should be taken as a considerable threat to the human health.

B. cereus whose occurrence is 3% for both muscle and liver samples, is an opportunistic pathogen, one of the causes of food poisoning as shown by the emetic syndrome [46]. Foods that are rich in protein have been associated with food-borne outbreaks of diarrhea caused by B. cereus [47].

The C. subterminale is one of the species of Clostridium that is most often isolated from soil [48]. However, study conducted by Miyazaki et al. [49], showed that C. subterminale was detected from a person who went for umbilical cord blood transplantation. Therefore, C. subterminale should be considered as one of the causal agents of septicaemia. Moreover, in 2011 C. subterminale was also detected from an adult with acute lymphoblastic leukemia [50]. The case of C. subterminale septicemia in an immunocompetent patient who presented with acute mediastinitis following spontaneous esophageal rupture was also reported by Daganou et al. [51], it was also detected from a patient with esophageal cancer [52].

The resistance shown by a large percentage of the organisms; M. caseolyticus, E. faecalis, E. mundtii, and E. coli to tetracycline in this report coincides with previous reports from various studies. In Iran, 69% of isolates from retail chicken and beef were resistant to tetracycline [53]. In Tai’an, China, 78% of the isolates from rabbit showed resistant against tetracycline [54]. The study conducted in South Africa (Eastern Cape); 43.8% E. coli isolates obtained from meat samples were resistant to tetracycline [55]. It was also reported that E. coli isolated from some broiler chicken also showed a high level of resistance to tetracycline (36 to 97%) in northeast Georgia [56]. The high prevalence of isolates resistant to tetracycline, which is moderately cheaper in the market is of concern because of the limited access and high cost of antibiotics such as quinolones [57]. It was observed in this research work that meat samples from the butcheries exhibited multi drug resistance.

Despite the resistance of other antibiotics from different isolates, all isolates from this study were susceptible to streptomycin. This is a relief to human beings as streptomycin is well-known as anti-tuberculosis medication [58]. However, results obtained in this study differ from other studies conducted in Addis Ababa, Ethiopia where 58% of streptomycin were found in raw and ready-to-eat meat [59]. The greater the number of resistant bacteria in different meat organs, the higher is the possibility for the transfer of the encoding resistant genes to pathogenic bacteria and their distribution in the environment and foods of animal origin. The acquisition of bacteria resistant to aminoglycoside antibiotics is associated with modification of enzymes such as aminoglycoside adenyltransferases which are responsible for resistant streptomycin antibiotics [60].

5. Conclusion

This study revealed that Analytical Profile Index (API) and PCR are very useful tool for the detection of pathogenic and non-pathogenic bacteria. The relatively high frequency of occurrence of pathogenic organisms; B. cereus, Enterococcus spp. and Escherichia spp. and pathogenic organisms observed in this study are among the causes of food-borne illnesses and danger to public health. It was observed that majority of bacteria were isolated on meat from the butcheries than supermarket. The other objective of this study was to evaluate microbial susceptibility to different antibiotics commonly used in veterinary medicine. The results obtained from this exercise revealed that of eight detected bacterial species showed resistance to antibiotics including tetracycline, sulphonamides and ciprofloxacin. However, B. cereus, C. freundii were not resistant to any of the antibiotics. Continuous exposure at low doses might induce mutability in both animals and consumers. Due to the presence and potential hazard of pathogens in meat samples, the detection of these pathogens in different kinds of meat is vital to maintain public health. We recommend stricter control of antibiotics use to meat animals and higher hygienic practices at the butcheries from sampled areas.

Acknowledgements

This work was supported by the funds made available by the Food safety Niche Area, Natural and Agricultural Science and the Department of Animal Health, North-West University Mafikeng Campus.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]   | Mehtabuddin A, Ahmad T, Nadeem S, Tanveer Z, Arshad J. Sulfonamide residues determination in commercial poultry meat and eggs. J Anim Plant Sci. 2012; 22(2): 473-8.
[2]   | Gurmu EB, Gebretinsae H. Assessment of bacteriological quality of meat contact surfaces in selected butcher shops of Mekelle city, Ethiopia. Journal of Environmental and Occupational Health. 2013; 2(2): 61-6.
[3]   | Ferone M, Gowen A, Fanning S, Scannell AG. Microbial detection and identification methods: bench top assays to omics approaches. Comprehensive Reviews in Food Science and Food Safety. 2020; 19(6): 3106-29.
[4]   | De Bruyne K, Slabbinck B, Waegeman W, Vauterin P, De Baets B, Vandamme P. Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning. Systematic and applied microbiology. 2011; 34(1): 20-9
[5]   | Murray PR. What is new in clinical microbiology—microbial identification by MALDI-TOF mass spectrometry: a paper from the 2011 William Beaumont Hospital Symposium on molecular pathology. The journal of molecular diagnostics. 2012; 14(5): 419-23.
[6]   | Mimica MJ, Martino MD, Pasternak J. MALDI-TOF MS in the clinical microbiology laboratory. Jornal Brasileiro de Patologia e Medicina Laboratorial. 2013; 49: 256-9.
[7]   | Khater DF, Lela RA, El-Diasty M, Moustafa SA, Wareth G. Detection of harmful foodborne pathogens in food samples at the points of sale by MALDT-TOF MS in Egypt. BMC Research Notes. 2021; 14(1): 1-6.
[8]   | Özbey G, Seven PT, Muz A, Ertaş HB, Çerçi İH. Isolation of Salmonella spp. from faecal samples of cracked egg fed hens and polymerase chain reaction (PCR) confirmation. Bulgarian Journal of Veterinary Medicine. 2008; 11(2): 103-12.
[9]   | Ateba CN, Mochaiwa B. Use of invA gene specific PCR analysis for the detection of virulent Salmonella species in beef products in the north west province, South Africa. J Food Nutr Res. 2014; 2(6): 294-300
[10]   | Goodman LB, McDonough PL, Anderson RR, Franklin-Guild RJ, Ryan JR, Perkins GA, Thachil AJ, Glaser AL, Thompson BS. Detection of Salmonella spp. in veterinary samples by combining selective enrichment and real-time PCR. Journal of Veterinary Diagnostic Investigation. 2017; 29(6): 844-51.
[11]   | Li X, Liu L, Li Q, Xu G, Zheng J. Salmonella contamination in layer farms of different scales in China: Detection and ERIC-PCR analysis. The journal of poultry science. 2017; 0160144.
[12]   | Sunar NM, Stentiford EI, Stewart DI, Fletcher LA. Molecular techniques to characterize the invA genes of Salmonella spp. for pathogen inactivation study in composting. arXiv preprint arXiv: 1404. 5208. 2014. Available at: https://arxiv.org/abs/1404.5208. Accessed 6 December 2020.
[13]   | Tamura Y. The Japanese veterinary antimicrobial resistance monitoring system (JVARM). OIE international standards on Antimicrobial Resistance. 2003: 206-10.
[14]   | Nisha AR. Antibiotic residues-a global health hazard. Veterinary world. 2008 Dec 1; 1(12): 375.
[15]   | Cetinkaya Fİ, Yibar AR, Soyutemiz GE, Okutan B, Ozcan A, Karaca MY. Determination of tetracycline residues in chicken meat by liquid chromatography-tandem mass spectrometry. Food Additives and Contaminants: Part B. 2012; 5(1): 45-9.
[16]   | Zeina K, Fawwak S. Quantification of antibiotic residues and determination of antimicrobial resistance profiles of microorganisms isolated from bovine milk in Lebanon. Food and Nutrition Sciences. 2013; 4(07): 1.
[17]   | Tshipamba ME, Lubanza N, Adetunji MC, Mwanza M. Molecular characterization and antibiotic resistance of foodborne pathogens in street-vended ready-to-eat meat sold in South Africa. Journal of food protection. 2018; 81(12): 1963-72.
[18]   | Kersters, K., and M. Vancanneyt. 2005. Bacteria, their morphology and classification, p. 36-78. In R. E. Buchanan and N. E. Gibbons (ed.), Bergey's manual of determinative bacteriology, 8th ed. Williams & Wilkins, Baltimore.
[19]   | Ateba CN, Setona T. Isolation of enteric bacterial pathogens from raw mince meat in Mafikeng, North-West Province, South Africa. Life Science Journal. 2011; 8(S2).
[20]   | Montso PK, Ateba CN.. “Molecular Detection of Clostridium Species in Beef Obtained from Retail Shops in North West Province, South Africa.” Journal of Food and Nutrition Research. 2014; 2(5): 236-243.
[21]   | Bauer AW. Antibiotic susceptibility testing by a standardized single disc method. Am J clin pathol. 1966; 45: 149-58.
[22]   | Bagge E, Persson M, Johansson KE. Diversity of spore‐forming bacteria in cattle manure, slaughterhouse waste and samples from biogas plants. Journal of Applied Microbiology. 2010; 109(5): 1549-65.
[23]   | Nucera DM, Maddox CW, Hoien-Dalen P, Weigel RM. Comparison of API 20E and invA PCR for identification of Salmonella enterica isolates from swine production units. Journal of Clinical Microbiology. 2006; 44(9): 3388-90.
[24]   | Clarridge III JE. Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases. Clinical microbiology reviews. 2004 Oct; 17(4): 840-62.
[25]   | Muyzer G, Smalla K. Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) in microbial ecology. Antonie van Leeuwenhoek. 1998 Jan; 73(1): 127-41.
[26]   | Handschur M, Pinar G, Gallist B, Lubitz W, Haslberger AG. Culture free DGGE and cloning based monitoring of changes in bacterial communities of salad due to processing. Food and chemical toxicology. 2005 Nov 1; 43(11): 1595-605.
[27]   | Schröttner P, Gunzer F, Schüppel J, Rudolph WW. Identification of rare bacterial pathogens by 16S rRNA gene sequencing and MALDI-TOF MS. Journal of visualized experiments: JoVE. 2016(113): 53176.
[28]   | Rychert J. Benefits and limitations of MALDI-TOF mass spectrometry for the identification of microorganisms. Journal of Infectiology. 2019; 2(4).
[29]   | Wieser A, Schneider L, Jung J, Schubert S. MALDI-TOF MS in microbiological diagnostics—identification of microorganisms and beyond (mini review). Applied microbiology and biotechnology. 2012 Feb; 93(3): 965-74.

[30]  
Body BA, Beard MA, Slechta ES, Hanson KE, Barker AP, Babady NE, McMillen T, Tang YW, Brown-Elliott BA, Iakhiaeva E, Vasireddy R. Evaluation of the Vitek MS v3. 0 matrix-assisted laser desorption ionization–time of flight mass spectrometry system for identification of Mycobacterium and Nocardia species. Journal of clinical microbiology. 2018 May 25; 56(6): e00237-18.

[31]   | Yang SM, Kim E, Kim D, Baek J, Yoon H, Kim HY. Rapid Detection of Salmonella Enteritidis, Typhimurium, and Thompson by Specific Peak Analysis Using Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry. Foods. 2021; 10(5): 933.
[32]   | Kim E, Cho Y, Lee Y, Han SK, Kim CG, Choo DW, Kim YR, Kim HY. A proteomic approach for rapid identification of Weissella species isolated from Korean fermented foods on MALDI-TOF MS supplemented with an in-house database. International journal of food microbiology. 2017; 243: 9-15.
[33]   | Mangmee S, Reamtong O, Kalambaheti T, Roytrakul S, Sonthayanon P. MALDI-TOF mass spectrometry typing for predominant serovars of non-typhoidal Salmonella in a Thai broiler industry. Food Control. 2020; 113: 107188.
[34]   | Abd El‐Aziz NK, Gharib AA, Mohamed EA, Hussein AH. Real‐time PCR versus MALDI‐TOF MS and culture‐based techniques for diagnosis of bloodstream and pyogenic infections in humans and animals. Journal of Applied Microbiology. 2021; 130(5): 1630-44.
[35]   | Oudiz RJ, Widlitz A, Beckmann XJ, Camanga D, Alfie J, Brundage BH, Barst RJ. Micrococcus-associated central venous catheter infection in patients with pulmonary arterial hypertension. Chest. 2004; 126(1): 90-4.
[36]   | Tsubakishita S, Kuwahara-Arai K, Baba T, Hiramatsu K. Staphylococcal cassette chromosome mec-like element in Macrococcus caseolyticus. Antimicrobial agents and chemotherapy. 2010; 54(4): 1469-75.
[37]   | Bahadoripour, M. and hassan Jahandar, M., 2019. in Meat Using Polymerase Chain Reaction Method and Culture Method. International journal of basic science in medicine,[online]. 2019; 4(3): 102-7.
[38]   | Kiranmayi C, Krishnaiah N. Detection of Escherichia coli O157: H7 prevalence in foods of animal origin by cultural methods and PCR technique. Veterinary World. 2010; 3(1):13.
[39]   | Zarei M, Basiri N, Jamnejad A, Eskandari MH. Prevalence of Escherichia coli O157: H7, Listeria monocytogenes and Salmonella spp. in beef, buffalo and lamb using multiplex PCR. Jundishapur Journal of Microbiology. 2013; 6(8).
[40]   | Ali T, Zhang L, Shahid M, Zhang S, Liu G, Gao J, Han B. ESBL-producing Escherichia coli from cows suffering mastitis in China contain clinical class 1 integrons with CTX-M linked to ISCR1. Frontiers in Microbiology. 2016; 7: 1931.
[41]   | Odu NN, Ameweiye NB. Microbiological quality of street-vended-ready-to-eat “bole” fish in Port Harcourt metropolis. New York Scientific Journal. 2013;6(2):92-101.
[42]   | Van Tyne D, Martin MJ, Gilmore MS. Structure, function, and biology of the Enterococcus faecalis cytolysin. Toxins. 2013; 5(5): 895-911.
[43]   | Jett BD, Huycke MM, Gilmore MS. Virulence of enterococci. Clinical microbiology reviews. 1994; 7(4): 462-78.
[44]   | Maki DG, Agger WA. Enterococcal bacteremia: clinical features, the risk of endocarditis, and management. Medicine. 1988; 67(4): 248-69.
[45]   | Furtula V, Jackson CR, Farrell EG, Barrett JB, Hiott LM, Chambers PA. Antimicrobial resistance in Enterococcus spp. isolated from environmental samples in an area of intensive poultry production. International journal of environmental research and public health. 2013; 10(3): 1020-36.
[46]   | Tahmasebi H, Talebi R, Zarif BR. Isolated of Bacillus cereus in Chicken Meat and Investigation β-Lactamase antibiotic-resistant in Bacillus cereus from Chicken Meat. Advances in life Sciences. 2014; 4(4): 200-6.
[47]   | Lund T, De Buyser ML, Granum PE. A new cytotoxin from Bacillus cereus that may cause necrotic enteritis. Molecular microbiology. 2000; 38(2): 254-61.
[48]   | Tappe D, Valenza G, Duwe T, Koebe HG, Frosch M, Abele-Horn M. Clostridium subterminale infection secondary to an open fracture. Infect Med. 2009; 26(1): 1-5.
[49]   | Miyazaki K, Mori T, Takayama N, Tsukada Y, Ikeda Y, Okamoto S. Clostridium subterminale septicemia in a recipient of allogeneic cord blood transplantation. Internal medicine. 2003; 42(4): 374-5.
[50]   | Haussen DC, Macedo FY, Caperton CV, Zuckerman DC. Clostridium subterminale sepsis in adult acute lymphoblastic leukemia. Leukemia & lymphoma. 2011; 52(6): 1137-8.
[51]   | Daganou M, Kyriakoudi A, Moraitou H, Pontikis K, Avgeropoulou S, Tripolitsioti P, Koutsoukou A. Clostridium subterminale septicemia in an immunocompetent patient. IDCases. 2016 Jan 1; 5: 43-5.
[52]   | Thind SK, Preis JI. Clostridium subterminale septicemia in a patient with esophageal cancer. IDCases. 2014; 1(3): 47-9.

[53]  
Dallal MM, Doyle MP, Rezadehbashi M, Dabiri H, Sanaei M, Modarresi S, Bakhtiari R, Sharifiy K, Taremi M, Zali MR, Sharifi-Yazdi MK. Prevalence and antimicrobial resistance profiles of Salmonella serotypes, Campylobacter and Yersinia spp. isolated from retail chicken and beef, Tehran, Iran. Food Control. 2010; 21(4): 388-92.

[54]   | Zhao X, Yang J, Ju Z, Chang W, Sun S. Molecular characterization of antimicrobial resistance in Escherichia coli from rabbit farms in Tai’an, China. BioMed Research International. 2018; 2018, 8607647.
[55]   | Jaja IF, Oguttu J, Jaja CJ, Green E. Prevalence and distribution of antimicrobial resistance determinants of Escherichia coli isolates obtained from meat in South Africa. Plos One. 2020 May 26; 15(5): e0216914.
[56]   | Smith JL, Drum DJ, Dai Y, Kim JM, Sanchez S, Maurer JJ, Hofacre CL, Lee MD. Impact of antimicrobial usage on antimicrobial resistance in commensal Escherichia coli strains colonizing broiler chickens. Applied and environmental microbiology. 2007 Mar 1; 73(5): 1404-14.
[57]   | Bedada AH, Zewde BM, Zewde BM. Tetracycline residue levels in slaughtered beef cattle from three slaughterhouses in central Ethiopia. Global Veterinaria. 2012; 8(6): 546-54.
[58]   | Unusan N. Occurrence of chloramphenicol, streptomycin and tetracycline residues in ultra-heat-treatment milk marketed in Turkey. International journal of food sciences and nutrition. 2009 Jan 1; 60(5): 359-64.
[59]   | Bilatu AG. Qualitative screening of antibiotic residue and identification of antibiotic resistant salmonella from raw and ready to eat meat in Thailand. Int. J. Adv. Life. 2012; 5(1): 51-67.
[60]   | Poole K. Aminoglycoside resistance in Pseudomonas aeruginosa. Antimicrobial agents and Chemotherapy. 2005 Feb; 49(2): 479-87.