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Antibiotic resistance patterns of Staphylococcus aureus, Escherichia coli, Salmonella, Shigella and Vibrio isolated from chicken, pork, buffalo and goat meat in eastern Nepal
BMC Research Notes volume 12, Article number: 766 (2019)
Food-borne pathogens are a major cause of illnesses, death and expenses. Their occurrence in meat and other food is considered a global health problem. The burden of food-borne disease is increasing due to antimicrobial resistance which represents a greater risk of treatment failure. However, very little is known about the antibiotic resistance profile of food-borne pathogens in Nepal. This study was conducted to examine the antibiotic resistance profile of common food-borne bacterial pathogens isolated from raw meat sold in Nepal. A total of 83 meat samples were collected from the market and analyzed.
The prevalence of Staphylococcus aureus, Escherichia coli, Salmonella, Shigella, and Vibrio were 68%, 53%, 35%, 6%, and 6% respectively. The resistance of Salmonella was most frequently observed to amoxicillin (100%), tetracycline (24%), chloramphenicol (11%), and nalidixic acid (11%). S. aureus was resistant to amoxicillin (100%) followed by tetracycline (63%), nalidixic acid (17%), and cefotaxime (13%) respectively. Vibrio isolates resisted amoxicillin (100%), tetracycline (40%) and chloramphenicol (20%). Shigella expressed the highest resistance to amoxicillin (100%), followed by chloramphenicol (80%), tetracycline (60%) and nalidixic acid (20%). E. coli exhibited the highest resistance to amoxicillin (100%), followed by tetracycline (93%), nalidixic acid (25%) and cefotaxime (19%).
Food-borne pathogens have been the paramount cause of illness and death in the world . As they affect the health and economy, the awareness on food-borne pathogens is increasing [2, 3]. Poultry and other meats also occupy one of the most important reservoirs for pathogenic bacteria . Normally, the meat of healthy animals contains very few or nil microorganisms but contamination arise from slaughtering, transportation and processing [4, 5]. The most important food-borne bacteria transmitted through meat include Salmonella, Shigella, Staphylococcus aureus, Escherichia coli, Campylobacter jejuni, Listeria monocytogenes, Clostridium perfringens, Yersinia enterocolitica and Aeromonas hydrophila . These bacteria usually cause self-limiting gastroenteritis however, invasive diseases and various complexities also may occur. E. coli can cause bloody diarrhoea and hemolytic uremic syndrome, Salmonella can cause systemic salmonellosis, S. aureus is responsible for causing food poisoning, Shigella can cause dysentery and Vibrio can cause cholera if undercooked meat is consumed [6,7,8].
With the emergence of bacteria, the consumption of antibiotics is increased by approximately 40% in a decade but their resistance has been becoming a global threat . Apart from clinical settings, large amounts of antibiotics are used in agriculture, food industry, animal husbandry and aquaculture . The use of broad-spectrum antibiotics creates a selective pressure on the bacterial flora, thus increasing the emergence of new antibiotic-resistant bacteria [11, 12]. Similarly, due to incomplete metabolism, unused antibiotics spread to the environment eliciting bacterial adaptation response to develop antibiotic-resistant genes [13, 14]. Antibiotic resistance in bacterial pathogens is higher in poultry, pig and other meat animals . As a result, antibiotic-resistant strains from the gut may contaminate meat during slaughtering and resistant bacteria can infect consumers via meat [16,17,18]. The transfer of resistant bacteria from meat to humans has been reported in various countries [19,20,21]. In the transfer of antibiotic-resistant genes from food micro flora to pathogenic bacteria, meat can play an important role [22, 23]. In Nepal, consumption of meat has been increasing but Nepalese butchers and consumers are unaware of food safety [24, 25]. On the other hand, the prevalence of antibiotic-resistant bacteria is increasing due to the haphazard use of antibiotics in human therapy, animal farming and other prophylactic usages . It is difficult to treat the infections caused by multi-drug resistant bacteria as compared to normal bacteria and such strains are of great concern . However, very few studies have been done in Nepal about food-borne bacteria and their antibiotic resistance profile. So, this study aimed to investigate the antibiotic resistance pattern of bacterial isolates from marketed meat in Dharan, eastern Nepal.
The study site is a town of Province number 1 of Nepal (Fig. 1) locating between hills and Terai region at the altitude of 349 m.
A total of 83 (33 chicken, 27 pork, 13 buffalo and 10 goat) meat samples were collected in a UV sterilized zipped plastic bag and transported to the laboratory in an icebox. The samples were collected 6–9 a.m. and processed within 2 h otherwise preserved at 4 °C. To prevent cross-contamination during sampling, sterile gloves and forceps were used. The meat shops are randomly scattered in different locations of Dharan and only one type of meat was collected in a single day.
Isolation of E. coli, Salmonella, Shigella, Vibrio, and S. aureus was done by following U.S. FDA guideline  in triplicate. The isolates were identified by cultural characteristics, Gram staining, and biochemical tests as described by Bergey’s Manual of Determinative Bacteriology . All of the culture media, reagents and antibiotics were purchased from Himedia, India. The significant association of dependent variables was determined by Chi-square test at 5% level of significance by using software SPSS version 16.
Antibiotic susceptibility test (AST) of all identified isolates was done on eight antibiotics following Kirby Bauer disc diffusion method. The interpretation of sensitive (S), intermediate sensitive (I) and resistant (R) were done according to the CLSI guidelines . Selection of antibiotics was based on the common antibiotics used in Nepal and those recommended by the World Health Organization (WHO) for routine integrated antimicrobial resistance monitoring . These antibiotics were amoxicillin (Amx 10 µg), azithromycin (Azm 15 µg), amikacin (Ak 30 µg), cefotaxime (Ctx 30 µg), nalidixic acid (NA 30 µg), ciprofloxacin (Cip 30 µg), tetracycline (TE 30 µg) and chloramphenicol (C 30 µg). For quality control, ATCC cultures of E. coli 25922, S. aureus 25923, Salmonella 35664, Shigella 23354 and Vibrio 39315 were used.
Results and discussions
Resistance enables bacteria to escape from being killed by antibiotics and reduces the ability to treat infections . Therefore, antibiotics resistance has been considered one of the greatest threats to medicine . Meat also plays an important role in the transfer of antibiotics resistant genes in term of antibiotic residues. The prevalence of bacterial isolates is shown in Fig. 2 and their antibiotic resistance profiles are tabulated in Fig. 3. The significant association was not seen between the type of meat and presence of S. aureus, Shigella, Vibrio and E. coli (p > 0.05) but observed between type of meat and Salmonella (p < 0.05). It shows that chicken meat may harbour the more Salmonella than other type of meat which may come from faecal matters during processing. The prevalence of bacterial isolates was found to be higher than previous studies in Ethiopia, China and Greece [33,34,35]. The reason behind the higher prevalence rates could be related to the difference in time, place and season of research. Furthermore, higher prevalence rates might be due to unhygienic processing, improper cleaning, deficient handling, and post-processing contamination from the polluted environment.
Although S. aureus and its antimicrobial resistance pattern have been extensively studied in livestock and foods in other countries, limited studies have been done in Nepal. Our result reported the higher resistance rates of isolates than in studies of other countries like Ethiopia, Thailand, China, and South Africa [33, 36,37,38]. The increased resistance of isolates against commonly used antibiotics may be due to the indiscriminate use of common antibiotics. In the case of E. coli, neither of them was susceptible to all antibiotics tested. The higher resistance to amoxicillin (100%) tetracycline (93%) and nalidixic acid (25%) was observed. Our result is in agreement with findings of similar studies by in Greece, Canada and Jamaica [35, 39, 40]. But, other studies by Atnafie et al. and Van et al. do not support our findings [41, 42]. The variation on the rate of resistance can be related to the difference in time and place. Another reason for the difference in resistance rates might be a rapid change in antibiotic sensitivity patterns of bacteria within a short period.
In this study, all isolates of Salmonella developed resistance against amoxicillin (100%) followed by tetracycline (24%), nalidixic acid (11%) and chloramphenicol (11%), Studies in other countries show highly variable results. For instance, a study by Akbar et al.  reported that 73% Salmonella isolates were resistant to tetracycline, 18.48% resistant to chloramphenicol, 36% to nalidixic acid and 27% resistant to ciprofloxacin. Similarly, Odoch et al.  reported 50% isolates were resistant to ciprofloxacin, 5.1% to tetracycline and 5.1% to chloramphenicol. The reason behind the variation in resistance rates could be related to the difference in antibiotics usage along with place and season of research. Osaili et al. reported all of the Salmonella isolates were resistant to one or more antibiotics and the majority of isolates were sensitive to most of the tested antibiotics  which complies with our findings. Our findings were similar to the antibiotic resistance pattern of Salmonella isolated from human suffering from diarrhoea and other enteric infections [45,46,47]. The similarity in the resistance pattern could be due to the usage of similar antibiotics in human and veterinary medicine.
Out of the total Shigella isolates, 100%, 80%, 60%, and 20% of them were resistant to amoxicillin, chloramphenicol, tetracycline and nalidixic acid respectively. Our results were higher than the similar study by Garedew et al.  which reported 46.9% and 9.4% isolates resistant to amoxicillin and tetracycline respectively. The higher resistance rates to different antibiotics in Nepal could be due to the excessive use and irrational prescription of antibiotics. In a study by Debas et al., all of the isolates were found sensitive to ciprofloxacin  which is similar to our study. The resistance pattern of Shigella isolates was in companion to some previous studies in human samples [45,46,47]. This resemblance might be due to the common prescription of antibiotics to human and veterinary medicine. Amoxicillin was resisted by all Vibrio isolates while a moderate rate of resistance was observed for tetracycline (40%). The resistance profile of Vibrio isolates was analogous to the previous study in seafood  but greater than the study on retail shrimps in Vietnam which reported only 24.6% resistant to tetracycline . This difference in resistance profile could be correlated to time and place of study as the frequency of resistance varies from time to time and place to place. Our results demand the periodic evaluation of the resistance pattern of pathogens to overcome the growth of antibiotic resistance.
The marketed raw meat of eastern Nepal was highly contaminated with antibiotic-resistant S. aureus, E. coli, Salmonella, Shigella, and Vibrio. All of the bacterial isolates expressed resistance towards amoxicillin. The higher resistance was observed against tetracycline and chloramphenicol. So, azithromycin, ciprofloxacin and amikacin should be preferred for the treatment of food-borne bacteria if they are suspected of animal origin. Prudent use of antibiotics should be followed by veterinarians and human medical practitioners. Contamination of meat with intestinal content during slaughtering and other cross contaminations should be minimized. Periodic evaluation of the resistance pattern of pathogens is essential. Routine monitoring of slaughtering conditions, awareness campaign and good kitchen practice should be promoted. Further characterization of isolated pathogens should be done to determine antimicrobial resistance genes and their transfer.
Confirmation of bacteria by molecular methods was not performed. Species identification of Salmonella, Shigella and Vibrio was not done. Similarly, serotyping of Salmonella was not done.
Availability of data and materials
All the required data and materials are provided in the manuscript.
antibiotic susceptibility test
American Type Culture Collection
Clinical and Laboratory Standard Institute
Food and Drug Administration
Statistical Programme for Social Sciences
World Health Organization
Mead PS, Slutsker L, Dietz V, McCaig LF, Bresee JS, Shapiro C, Griffin PM, Tauxe RV. Food-related illness and death in the United States. Emerg Infect Dis. 1999;5:607–25.
Carbas B, Cardoso L, Coelho AC. Investigation on the knowledge associated with food-borne diseases in consumers of northeastern Portugal. J Food Control. 2012;30(1):54–7.
Zhao C, Ge B, Villena J, Robert S, Emily Y, Shaohua Z, David G, David W, Jianghong M. Prevalence of Campylobacter spp., Escherichia coli and Salmonella serovars in retail chicken, turkey, pork and beef from the greater Washington D.C. Area. Appl Environ Microbiol. 2001;67(12):5431–6.
Moawad AA, Hotzel H, Neubauer H, Ehricht R, Monecke S, Tomasolin H, Hafez HM, Roesler U, El-Adawy H. Antimicrobial resistance in Enterobacteriaceae from healthy broilers in Egypt: emergence of colistin-resistant and extended-spectrum β-lactamase-producing Escherichia coli. Gut Pathog. 2018;19(10):39. https://doi.org/10.1186/s13099-018-0266-5.
Bhandare SG, Sherikar AT, Paturkar AM, Waskar VS, Zende RJ. A comparison of microbial contamination on sheep/goat carcasses in a modern Indian abattoir and traditional meat shops. J Food Control. 2007;18(7):854–68.
Griffin PM. Escherichia coli O157:H7 and other enterohemorrhagic Escherichia coli. In: Blaser MJ, Smith PD, Ravdin JI, Greenberg HB, Guerrant RL, editors. Infections of gastrointestinal tract. New York: Raven Press; 1995. p. 739–61.
Blaser MJ. Epidemiologic and clinical features of Campylobacter jejuni infections. J Infect Dis. 1997;176(Suppl. 2):S103–5.
Sasidharan S, Prema B, Yoga Latha L. Antimicrobial drug resistance of S. aureus in dairy products. Asian Pac J Trop Biomed. 2011;1(2):130–2.
Van Boeckel TP, Gandra S, Ashok A, Caudron Q, Grenfell BT, Levin SA, Laxminarayan R. Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data. Lancet Infect Dis. 2014;14:742–50. https://doi.org/10.1016/S1473-3099(14)70780-7.
Van Boeckel TP, Brower C, Gilbert M, Grenfell BT, Levin SA, Robinson TP, Teillant A, Laxminarayan R. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci USA. 2015;112:5649–54. https://doi.org/10.1073/pnas.1503141112.
Schjørring S, Krogfelt KA. Assessment of bacterial antibiotic resistance transfer in the gut. Int J Microbiol. 2011;2011:312956.
Witte W. Medical consequences of antibiotics use in agriculture. Science. 1988;279:996–7.
Zhang XX, Zhang T, Zhang M, Fang HH, Cheng SP. Characterization and quantification of class 1 integrons and associated gene cassettes in sewage treatment plants. Appl Microbiol Biotechnol. 2009;82:1169–77. https://doi.org/10.1007/s00253-009-1886-y.
Zhang XX, Zhang T, Fang HH. Antibiotic resistance genes in water environment. Appl Microbiol Biotechnol. 2009;82:397–414. https://doi.org/10.1007/s00253-008-1829-z.
Caudry SD, Stanisch VA. Incidence of antibiotic-resistant Escherichia coli associated with frozen chicken carcasses and characterization of conjugative R-plasmids derived from such strains. Antimicrob Agents Chemother. 1979;16:701–9.
Chaslus-Dancla E, Lafont JP. IncH plasmids in Escherichia coli strains isolated from broiler chicken carcasses. Appl Environ Microbiol. 1985;49:1016–8.
Jayaratne A, Collins-Thompson DL, Trevors JT. Occurrence of aminoglycoside phosphotransferase subclass I and II structural genes among Enterobacteriaceae spp isolated from meat samples. Appl Microbiol Biotechnol. 1990;33:547–52.
Turtura GC, Massa S, Chazvinizadeh H. Antibiotic resistance among coliform bacteria isolated from carcasses of commercially slaughtered chickens. Int J Food Microbiol. 1990;11:351–4.
Cooke EM, Breaden AL, Shooter RA, O’Farrell SM. Antibiotic sensitivity of Escherichia coli isolated from animals, food, hospital patients, and normal people. Lancet. 1971;2:8–10.
Amara A, Ziani Z, Bouzoubaa K. Antibiotic resistance of Escherichia coli strains isolated in Morocco from chickens with colibacillosis. Vet Microbiol. 1995;43:325–30.
Al Ghamdi MS, El Morsy F, Al Mustafa ZH, Al Ramadhan M, Hanif M. Antibiotic resistance of Escherichia coli isolated from poultry workers, patients and chicken in the eastern province of Saudi Arabia. Trop Med Int Health. 1999;4:278–83.
Pereira V, Lopes C, Castro A, Silva J, Gibbs P, Teixeira P. Characterization for enterotoxin production, virulence factors, and antibiotic susceptibility of S. aureus isolates from various foods in Portugal. Food Microbiol. 2009;26:278–82.
Fernández EÁ, Calleja CA, Fernández CG, Capita R. Prevalence and antimicrobial resistance of Salmonella serotypes isolated from poultry in Spain: comparison between 1993 and 2006. Int J Food Microbiol. 2012;153:281–7.
Ghimire L, Singh DK, Basnet HB, Bhattarai RK, Dhakal S, Sharma B. Prevalence, antibiogram and risk factors of thermophilic Campylobacter spp. in dressed porcine carcass of Chitwan, Nepal. BMC Microbiol. 2014;14:85.
Bantawa K, Rai K, Limbu DS, Khanal H. Food-borne bacterial pathogens in marketed raw meat of Dharan, eastern Nepal. BMC Res Notes. 2018;11:618. https://doi.org/10.1186/s13104-018-3722-x.
Addis Z, Kebede N, Sisay Z, Alemayehu H, Yirsaw A, Kassa T. Prevalence and antimicrobial resistance of Salmonella isolated from lactating cows and in contact humans in dairy farms of Addis Ababa: a cross-sectional study. BMC Infect Dis. 2011;11:222.
U.S. FDA: bacteriological analytical manual (BAM). Center for food safety and applied nutrition. https://www.fda.gov/food/foodscienceresearch/laboratorymethods/ucm200694.html. Accessed 22 Aug 2018.
Garrity GM, Brennner DJ, Krieg NR, Staley JT. Bergey’s manual of systematic bacteriology. The Proteobacteria, the Gammaproteobacteria. 2nd ed. Berlin: Springer; 2005.
CLSI. Performance standards for antimicrobial susceptibility testing: twentyfifth informational supplement. Wayne: Clinical Laboratory Standards Institute; 2015. https://www.facm.ucl.ac.be/intranet/CLSI/CLSI-2015-M100-S25-original.pdf. Accessed 23 Sept 2018.
WHO. Integrated surveillance of antimicrobial resistance: guidance from a WHO Advisory Group. Geneva: WHO; 2013. http://www.who.int/foodsafety/publications/agisar_guidance/en/. Accessed 24 Sept 2018.
Spellberg B, Guidos R, Gilbert D. The epidemic of antibiotic-resistant infections: a call to action for the medical community from the Infectious Diseases Society of America. Clin Infect Dis. 2008;46:155–64.
Walker B, Barrett S, Polasky S, Galaz V, Folke C, Engström G, Ackerman F, Arrow K, Carpenter S, Chopra K, Daily G, Ehrlich P, Hughes T, Kautsky N, Levin S, Mäler KG, Shogren J, Vincent J, Xepapadeas T, deZeeuw A. Environment looming global-scale failures and missing institutions. Science. 2009;325(5946):1345–6.
Tassew H, Abdissa A, Beyene G, Gebre-Selassie S. Microbial flora and food-borne pathogens on minced meat and their susceptibility to antimicrobial agents. Ethiop J Health Sci. 2010;20(3):137–43.
Rong D, Wu Q, Xu M, Zhang J, Yu S. Prevalence, virulence genes, antimicrobial susceptibility, and genetic diversity of Staphylococcus aureus from retail aquatic products in China. Front Microbiol. 2017;2017(8):714. https://doi.org/10.3389/fmicb.2017.00714.
Gousia P, Economou V, Sakkas H, Leveidiotou S, Papadopoulou C. Antimicrobial resistance of major food-borne pathogens from major meat products. Food-borne Pathog Dis. 2011;8(1):27–38. https://doi.org/10.1089/fpd.2010.
Akbar A, Anal AK. Prevalence and antibiogram study of Salmonella and Staphylococcus aureus in poultry meat. Asian Pac J Trop Biomed. 2013;3(2):163–8.
Chao G, Zhou X, Jiao X, Qian X, Xu L. Prevalence and antimicrobial resistance of food-borne pathogens isolated from food products in China. Food-borne Pathog Dis. 2007;4(3):277–84.
Oguttu JW, Qekwana DN, Odoi A. An exploratory descriptive study of antimicrobial resistance patterns of Staphylococcus spp. Isolated from horses presented at a Veterinary Teaching Hospital. BMC Vet Res. 2017;13(1):269. https://doi.org/10.1186/s12917-017-1196-z.
Sheikh AA, Checkley S, Avery B, Chalmers G, Bohaychuk V, Boerlin P, Reid-Smith R, Aslam M. Antimicrobial resistance and resistance genes in Escherichia coli isolated from retail meat purchased in Alberta, Canada. Food-borne Pathog Dis. 2012;9(7):625–31. https://doi.org/10.1089/fpd.2011.1078.
Miles TD, McLaughlin W, Brown PD. Antimicrobial resistance of Escherichia coli isolates from broiler chickens and humans. BMC Vet Res. 2006;2:7.
Atnafie B, Paulos D, Abera M, Tefera G, Hailu D, Kasaye S, Amenu K. Occurrence of Escherichia coli O157:H7 in cattle faeces and contamination of carcass and various contact surfaces in abattoir and butcher shops of Hawassa, Ethiopia. BMC Microbiol. 2017;17(1):24. https://doi.org/10.1186/s12866-017-0938-1.
Van TT, Chin J, Chapman T, Tran LT, Coloe PJ. Safety of raw meat and shellfish in Vietnam: an analysis of Escherichia coli isolations for antibiotic resistance and virulence genes. Int J Food Microbiol. 2008;124(3):217–23. https://doi.org/10.1016/j.ijfoodmicro.2008.03.029.
Odoch T, Wasteson W, L’Abée-Lund T, Muwonge A, Kankyal C, Nyakarahuka L, Tegule S, Skjerve E. Prevalence, antimicrobial susceptibility and risk factors associated with non-typhoidal Salmonella on Ugandan layer hen farms. BMC Vet Res. 2017;13:365. https://doi.org/10.1186/s12917-017-1291-1.
Osaili TM, Al-Nabulsi AA, Shaker RR, Jaradat ZW, Taha M, Al-Kherasha M, Meherat M, Holley R. Prevalence of Salmonella serovars, Listeria monocytogenes, and Escherichia coli O157:H7 in Mediterranean ready-to-eat meat products in Jordan. J Food Prot. 2014;77(1):106–11. https://doi.org/10.4315/0362-028X.JFP-13-049.
Ameya G, Tsalla T, Getu F, Getu E. Antimicrobial susceptibility pattern, and associated factors of Salmonella and Shigella infections among under-five children in Arba Minch, South Ethiopia. Ann Clin Microbiol Antimicrob. 2018;17(1):1. https://doi.org/10.1186/s12941-018-0253-1.
Gebreegziabher G, Asrat D, W/Amanuel Y, Hagos T. Isolation and antimicrobial susceptibility profile of Shigella and Salmonella species from children with acute diarrhoea in Mekelle Hospital and Semen Health Center, Ethiopia. Ethiop J Health Sci. 2018;28(2):197–206. https://doi.org/10.4314/ejhs.v28i2.11.
Wasfy MO, Oyofo BA, David JC, Ismail TF, El-Gendy AM, Mohran ZS, Sultan Y, Peruski LF Jr. Isolation and antibiotic susceptibility of Salmonella, Shigella, and Campylobacter from acute enteric infections in Egypt. J Health Popul Nutr. 2000;18(1):33–8.
Garedew L, Hagos Z, Zegeye B, Addis Z. The detection and antimicrobial susceptibility profile of Shigella isolates from meat and swab samples at butchers’ shops in Gondar town, Northwest Ethiopia. J Infect Public Health. 2016;9(3):348–55. https://doi.org/10.1016/j.jiph.2015.10.015.
Debas G, Kibret M, Biadglegne F, Abera B. Prevalence and antimicrobial susceptibility patterns of Shigella species at Felege Hiwot Referral Hospital, Northwest Ethiopia. Ethiop Med J. 2011;49(3):249–56.
Elmahdi S, DaSilva LV, Parveen S. Antibiotic resistance of Vibrio parahaemolyticus and Vibrio vulnificus in various countries: a review. Food Microbiol. 2016;57:128–34. https://doi.org/10.1016/j.fm.2016.02.008.
Tra VT, Meng L, Pichpol D, Pham NH, Baumann M, Alter T, Huehn S. Prevalence and antimicrobial resistance of Vibrio spp. in retail shrimps in Vietnam. Berl Munch Tierarztl Wochenschr. 2016;129(1–2):48–51.
We are thankful to the Department of Microbiology, Central Campus of Technology, Tribhuvan University, Dharan for technical support and all the butchers for their co-operation.
This research was carried out from the financial assistance provided by the University Grant Commission, Nepal (Grant number 20) for the Masters Research Support Grant which was used for sample collection and analysis specially for purchasing culture media and antibiotic discs.
Ethics approval and consent to participate
None required. This study was carried out as a part of the Thesis of Master of Science (M.Sc.) Microbiology and approved by Department of Microbiology, Central Campus of Technology, Tribhuvan University. Consents of retail shopkeepers were taken orally before collecting samples.
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Bantawa, K., Sah, S.N., Subba Limbu, D. et al. Antibiotic resistance patterns of Staphylococcus aureus, Escherichia coli, Salmonella, Shigella and Vibrio isolated from chicken, pork, buffalo and goat meat in eastern Nepal. BMC Res Notes 12, 766 (2019). https://doi.org/10.1186/s13104-019-4798-7
- S. aureus
- E. coli
- Antibiotic resistance