Skip to main content
Download PDF

Occurrence, antibiotic resistance profiles and associated risk factors of Klebsiella pneumoniae in poultry farms in selected districts of Somalia Reginal State, Ethiopia

BMC Microbiology volume 24, Article number: 137 (2024) Cite this article

Abstract

Background

Klebsiella pneumoniae is an opportunistic infection that causes production losses and death in the chicken industry. A cross-sectional study was conducted on exotic chicken breeds reared at the Jigjiga poultry farm from November 2022 to May 2023 to estimate the occurrence, associated risk factors, and antimicrobial susceptibility profiles of Klebsiella pneumoniae. The chickens were selected using systematic random sampling techniques. A total of 384 cloacal swabs were collected aseptically and transported to the laboratory for analysis. For statistical analysis, STATA® version 14.0 statistical software was used.

Results

From 384 examined faecal samples, 258 (67.2%) prevalences of Klebsiella pneumoniae were found. Furthermore, the association of the study’s risk factors with the prevalence of Klebsiella pneumoniae was explored, and no statistically significant association was identified between sex and age. Nonetheless, relative prevalence at the age level was higher in chickens aged 12 months (67.6%) and Sasso breeds (90.0%). Similarly, male chickens and those raised for meat and egg production had a high prevalence rate of 72.5 and 75.8%, respectively. A total of 30 isolated Klebsiella pneumoniae colonies were tested in vitro for antibiotic sensitivity for six drugs, and it was shown that Klebsiella pneumoniae is moderately sensitive to Penicillin G (43.3%) while having higher resistance to Oxytetracycline (80.0%).

Conclusions

The current findings revealed that the research area had the highest prevalence of Klebsiella pneumoniae, and the isolates were resistant to commonly used drugs in the study area. Thus, a long-term intervention plan, thorough research to determine a nationwide status, as well as further multi-drug resistance patterns and molecular characterization, were urged.

Peer Review reports

Introduction

Ethiopia has one of Africa’s greatest livestock populations [1]. Livestock is important for generating revenue, offering job opportunities, maintaining food security, providing services, adding assets, social, cultural, and environmental values, and sustaining livelihoods [2]. Poultry is one of the world’s livestock, with an estimated 16.2 billion people, 71.6% of whom reside in developing countries, producing 67,718,544 metric tons of chicken meat and 57,861,747 metric tons of hen eggs every year [3].

The poultry industry provides a chance to feed the world’s rapidly rising population while also providing revenue to resource-limited farmers [4]. Furthermore, in many parts of the modern world, poultry is regarded as the primary source of not just inexpensive animal protein but also high-quality human food. The primary goal of chicken rearing in all production systems is egg and meat production for income creation and home consumption. Animal agriculture in developing nations is under intense pressure to meet the need for animal protein caused by the ongoing expansion of the human population, as well as to have a surplus for international commerce [5].

In Africa, village poultry accounts for more than 70% of chicken products and 20% of animal protein intake. Over 80% of the human population in East Africa lives in rural settings, and over 75% of these households retain indigenous hens, with Ethiopia being no exception [6]. Ethiopia has an estimated poultry population of 60.5 million [7]. The poultry industry is characterized by tiny scavenging flocks of local hens and a few farms in the commercial subsector with various flock sizes [8]. Small and medium-scale producers account for the majority of commercial poultry production in Ethiopia [9]. In Ethiopia, 99% of hens are raised in traditional backyard systems, whereas 1% are raised in intensive management systems [10].

The poultry sector is the fastest-growing of the animal-producing industries. As a result, the production of poultry protein products has recently increased significantly in many of these countries. Nonetheless, it has been hampered by several restrictions. Among the restraints, poultry diseases continue to be a key impediment to its expansion. Several pathogens, including viruses, bacteria, and fungi, can cause disease in chickens [11]. Environmental variables may contribute to the clinically recognized symptoms and lesions caused by these infections [12]. Bacterial infections in the respiratory system are extremely important in chicken production, accounting for around 30% of mortality each year [13].

Klebsiella bacterium is a gram-negative, rod-shaped, non-motile, encapsulated opportunistic pathogen. This bacterium belongs to the Enterobacteriaceae family, is anaerobic facultative, is 1.0 mm in length has a mucoid colony, and is responsible for several diseases in both animals and humans [14]. It is the second most common species of Enterobacteriaceae and is found on the mucosal surfaces of animals, including dogs and humans, as well as in soil, water, and food environments [15]. These bacteria often test positive for the Voges-Proskauer test and generate lysine decarboxylase but not ornithine decarboxylase. Klebsiella spp. is found in the mucosa of the upper respiratory, gastrointestinal, and urogenital tracts of humans and animals, and causes pneumonia, nasal infection, urinary tract infection, and biogenic infection in men. Klebsiella pneumoniae and K. oxytoca are opportunistic pathogens associated with severe nosocomial infections such as septicemia, pneumonia, and urinary tract infections in birds [16].

Klebsiella pneumoniae causes substantial septicemia, urinary tract infections, pneumonia, and soft tissue infections, particularly in immunocompromised hosts such as young chickens [17]. Some factors for Klebsiella pathogenicity have been proposed, including capsular antigen (the most important virulence factor in Klebsiella pneumoniae), adhesives, lipopolysaccharides, and siderophores [18]. Klebsiella pneumoniae, in addition to nosocomial infection, spreads through foodstuffs and is hence frequently classified as a foodborne disease agent. Klebsiella pneumoniae has been identified in shellfish, frozen food, and fresh chicken meat [19]. Moreover, considering the possibility of food-borne infections spreading to humans through the food chain and the advent of super-resistant bacteria [19], Klebsiella pneumoniae is a well-known zoonotic conditional pathogen of the Enterobacteriaceae family [20]. Its multidrug resistance (MDR) is concerning.

In chicken farming, antibiotics are often utilized as prophylactics, growth promoters, and medications [21,22,23]. It has been documented that chicken manure, goods, and the overall environment contain antibiotic-resistant bacteria [24,25,26]. Consumption of chicken carcasses or eggs may upset the normal balance of bacteria in the human digestive tract since these bacteria are resistant to antibiotics and are commonly found in the digestive systems of poultry. The release of chicken byproducts into the environment, poor sanitation, and bacterial persistence in the environment can all be considered contributing elements to the emergence of drug-resistant variation strains [21].

Nonetheless, there is a serious risk to international health because of the rise of antibiotic-resistant bacterial strains in the food chain [23, 27]. Antibiotic-resistant bacteria could proliferate even in the presence of antibiotics. Further exacerbating this problem is the widespread dissemination of resistance genes across many bacterial species in the digestive tract via plasmids [23,24,25]. Antibiotic resistance has also been shown to be significantly influenced by the transmission of resistance plasmids across unrelated bacteria [23,24,25].

Since Klebsiella pneumoniae is an opportunistic infection that can harm both people and poultry, this study aimed to evaluate the prevalence and pattern of antibiotic resistance of this bacteria in chicken feces. Moreover, the occurrence of Klebsiella pneumoniae in chickens in Ethiopia is poorly reported. Mainly, data are scarce on the prevalence and antimicrobial susceptibility test of Klebsiella pneumoniae in the research area. Thus, the current study’s objectives were to estimate the occurrence, associated risk factors, and antimicrobial susceptibility profiles of Klebsiella pneumoniae in chickens in Jigjiga town, Somalia regional state, Ethiopia.

Materials and methods

Description of the study area

The research was carried out in and around Jigjiga, Somali Regional state, eastern Ethiopia (Fig. 1). Jigjiga, also known as the “Fafan Zone” currently, is one of the SRSE’s nine administrative zones. Jigjiga City, the zonal and regional capital, lies 630 km southeast of Addis Ababa. The zone is located in the northern section of SRSE and shares boundaries with the Republic of Somalia in the east, the Oromia regional state, the Fik zone in the west, and the Degahbour zone in the south. The total land cover is 40,861 km2, with rangeland covering 36,629 km2 [28]. About 52.6%, 31%, and 7% of the zone’s topography can be classified as flat to mild slopes, hills, and steep slopes, respectively. The temperature in the area is normally high all year, with the mean lowest and highest values of roughly 20oC and 35oC, respectively. The average annual rainfall is 660 mm and is bimodal. The region’s cattle population is predicted to be 2,826,700, including 489,000 in the Fafan zone [28]. Pastoralism, agro-pastoralism, and sedentary production methods make up 34.1, 56.8, and 9.1% of the Fafan Zone, respectively [29].

Fig. 1
figure 1

Map of the study area. (Source: ArcGIS, 2024)

Full size image

Study animals

The animals employed in this investigation were healthy chickens of all ages, exotic breeds (Bovans Brown, White leghorn, Sasso), and both sexes reared at the Jigjiga poultry farm under an intensive management method.

Study design

A cross-sectional study was conducted on exotic chicken breeds reared at the Jigjiga poultry farm from November 2022 to May 2023 to estimate the occurrence, associated risk factors, and antimicrobial susceptibility profiles of Klebsiella pneumoniae. The chickens were selected using systematic random sampling techniques.

Sample size determination

This sample size was determined according to the Thrusfield [30] formula, with a 95% confidence interval and a 5% precision.

$${\rm{n}} = {1.96^2}*{\rm{Pexp }}\left( {1 - {\rm{ Pexp}}} \right)/{{\rm{d}}^2}$$

Where.

n = required sample size.

Pexp=expected prevalence, 50%.

d = required precision, 5%.

Thus, a total of 384 cloaca swab samples were collected from chickens.

Sample collection and transportation

Eight registered chicken farms in and around Jigjiga town were purposefully chosen for the study based on the consent of the farm owners. The size of each of the examined farms was similar, with an average of 12 flocks (flock size > 45) of hens housed at a time (all-in, all-out). A sample of live, clinically healthy hens of various ages was taken from a chosen farm proportionally. During sample collection, farm attendants were interviewed and recorded about the features of the chickens (Age, Sex, Breed, and Purpose of production) and management parties (beddings, litter disposal, and new case handling) to establish risk factors associated with the occurrence of Klebsiella pneumoniae. Then, the samples were obtained aseptically from chicken cloaca using sterile swab tools. The cloacal swabs were collected and placed in a transport medium (0.1% buffered peptone water (enriched media) in a test tube)) before being transported to the Jigjiga Microbiology Laboratory using an ice box.

Isolation and identification of Klebsiella pneumoniae

To establish a stock solution for the poultry fecal samples, 1 g was combined with 10 ml of deionized water. The stock was then serially diluted tenfold, and 1 ml of each dilution (10− 2, 10− 4, and 10− 6) was dispensed into sterile Petri plates labeled correspondingly. Eosin methylene blue (EMB) (Hardy Diagnostics agar, USA) and MacConkey (MAC) agar (Oxoid, UK) were aseptically distributed and gently swirled into separate aliquots of samples. To stimulate the development of Klebsiella species, the plates were solidified and incubated for 24–48 h at 35–37 oC [14]. Following this, separate colonies were subcultured on freshly prepared MAC, and streaking was repeated to achieve pure Klebsiella species cultures for further study. Klebsiella species colonies show pink or red on MAC agar. Klebsiella pneumoniae was identified by a biochemical test (indole, methyl red, motility, Vogeus proskues, citrate utilization, and triple sugar iron test) [31]. Klebsiella pneumoniae was recognized as a biochemical test result of fermented sucrose, lactose, and glucose with the generation of acid within 24–48 h of incubation, a negative reaction in the VP test, a positive reaction in the MR, and an indole test [32].

Antimicrobial test

Thirty isolated Klebsiella pneumoniae colonies were evaluated for antibiotic sensitivity on Mueller-Hinton agar (Oxoid, UK) using the Kirby-Bauer technique [33]. All disks used in the disc diffusion test were acquired from Oxoid England in the following concentrations: oxytetracycline (30 mcg), sulphamethoxazole (25 mcg), nalidixic acid (30 mcg), cefaxime (5 mcg), tetracycline (30 mcg), and penicillin G (30 mcg). The cultural turbidity was corrected to the 0.5 MacFarland standard. The sterile cotton swab was dipped in the suspension and spread evenly across the Mueller Hinton agar surface [31]. After a few minutes, antibiotic discs were spread on the surface of the infected plate and incubated at 37 °C for 16 h. The micrometer zone of diameter was measured and classified as sensitive, intermediate, or resistant [34, 35].

Data management

Data collected in the field was recorded and stored in an Excel spreadsheet version 2016. The data was then imported into STATA® version 14.0 statistical software to calculate prevalence. Univariable analysis was performed on all predictors by fitting them into separate logistic regression models to assess their unconditional associations. Finally, the 95% confidence interval (CI) was calculated, and disease-associated risk factors with a p-value of less than 0.05 were taken as significant.

Results

For this study, 384 cloaca swabs were bacteriologically examined to obtain information on the prevalence of Klebsiella pneumoniae within farms and its associated risk factors. It was revealed that prevalence at the age level was higher in chickens > 12 months (67.6%), and prevalence at the breed level was highest in Sasso (90.0%) compared to counterparts. Similarly, male chickens and those meant for meat and egg production had a high prevalence rate of 72.5% and 75.8%, respectively (Table 1). Overall, the prevalence was 67.2%.

Table 1 Prevalence of Klebsiella pneumoniae in the study area
Full size table

Furthermore, the relationship between risk factors and Klebsiella pneumoniae occurrence was assessed. However, there was no statistically significant (p > 0.05) correlation between risk factors (age and sex) and the prevalence of the bacteria (Table 2).

Table 2 The association of risk factors with the occurrence of Klebsiella pneumoniae
Full size table

Thirty (n = 30) Klebsiella pneumoniae isolates were tested for antibiotic susceptibility in vitro and the results were evaluated [35]. Accordingly, isolates developed high resistance to Oxytetracycline (80.0%), followed by Tetracycline (66.7%), Nalidixic acid (63.3%), and Sulpha-methoxazole (60.0%). Conversely, isolates were susceptible to Penicillin G (43.3%), Nalidixic acid (36.7%), and Cefaxime (36.7%). Furthermore, sulphamethoxazole (16.7%), and Cefaxime (16.7%) were recorded as intermediate reactors for the isolates (Fig. 2).

Fig. 2
figure 2

In-vitro antimicrobial susceptibility of the isolated Klebsiella pneumoniae

Full size image

Discussion

Klebsiella pneumoniae is a bacterium that can infect the respiratory system of chickens, resulting in loss of output and mortality [14]. The current study found an overall prevalence of Klebsiella pneumoniae of 62.7%, which agrees with the finding of Aly et al. [36], who isolated Klebsiella spp. (63%) associated with bile and intestinal content of slaughtered chickens, but significantly higher than the finding of Puspandari et al. [37], who reported an 8.8% prevalence rate from Indonesia. It was shown to be greater than the study conducted in Egypt, which revealed a 10% prevalence of Klebsiella pneumoniae, Dashe et al. [38], reported 8.8%, and Popy et al. [39], who reported a 6% prevalence of Klebsiella spp. Also, it was higher than the report of Bushen et al. [40], who identified 22.6% of Klebsiella pneumoniae from chicken in Ethiopia. The discrepancy in prevalence between the current study and others is most likely owing to chicken farm management practices, sample types (faeces, bile, intestinal contents), and sample sizes. Furthermore, the pattern of antimicrobial use by poultry producers varies significantly: some farms employ antimicrobials as feed additives, which might be ascribed to variable prevalence.

The current study found statistically no relevance between sex and age. Female chicken had a high prevalence of Klebsiella pneumoniae relative to sex, chicken for those 12 months relative to age, Sasso relative to breed, and meat and egg-producing chicken relative to production. This variation demonstrates that females, Sasso, meat and egg-producing chickens, and chickens aged 12 months are of interest, implying that they are reservoirs of Klebsiella pneumoniae. However, breed and chicken production systems have an association with disease occurrence. Also, the disease was highest in Sasso (90.0%) followed by Bovans (72.2%), and lowest in White leghorn (51.3%) breeds. This might be attributed due to variations in husbandry measures, and disease resistance ability (physiological and immune factors) of the studied breeds.

Klebsiella pneumoniae has been documented to be a widely widespread pathogenic agent with a high prevalence of antimicrobial resistance, however antibiotic sensitivity of Klebsiella pneumoniae has not been thoroughly researched, particularly in poultry [41]. In vitro, antibiotic susceptibility assays were performed on 30 isolated Klebsiella pneumoniae in this study. Figure 2 depicts the percentage of isolates classified as sensitive, intermediate, or resistant to each antimicrobial agent. The study panel includes a total of six antimicrobials and the isolates exhibit strong resistance to Oxytetracycline (80.0%), whereas the intermediate resistance is to Sulphamethoxazole (16.7%).

This finding demonstrated that the highest susceptibility of Klebsiella pneumoniae was suggested to Penicillin G (43.3%) because they are not commonly utilized in the study area in veterinary services. This finding was lower than the 96.7% sensitivity to Penicillin G reported by Tefera et al. [42]. This difference from the prior study could be attributed to the level of antibiotic use on the farm.

The current study found that oxytetracycline was highly resistant, which is slightly in line with resistance reported by Bushen et al. [40], and Permatasari et al. [31] who recorded 85.7% and 75%, respectively, but less than the resistance reported by Otalu et al. [43], who recorded 100%. Again, tetracycline was found to have significant resistance (66.7%), which is lower than the 78.8% reported by Bushen et al. [40]. These could be the result of repeated usage of this drug. Tetracycline, for example, was utilized therapeutically, preventively, and to stimulate growth in the current investigation.

Sulphamethoxazole resistance was higher (60.0%), which is inconsistent with the findings of Permatasari et al. [31] who found 28%. This change could be related to repeated therapeutic or indiscriminate antibiotic use. In general, resistance to these medications in gram-negative bacteria may be attributable to the transfer of resistance genes from gram-positive bacteria to -lactamase genes [44].

Antibiotics are extensively used in both humans and animals for therapy and disease management. However, extensive usage of antibiotics may contribute to the growth of antibiotic resistance. The introduction of antimicrobial-resistant (AMR) bacterial strains regularly threatens the effective treatment of numerous infectious illnesses [45]. The widespread use of antibiotics in animals for treatment, growth promotion, and disease prevention causes high selection pressure among microbial agents, which may contribute to the emergence of drug- and multidrug-resistant bacteria and put human health at risk of becoming infected with these transferred zoonotic-resistant bacteria.

The crisis of drug and multi-drug resistance has jeopardized existing and future enhanced modern therapeutic efficacy in animals and people [46]. For example, the introduction of AMR from poultry and poultry farms has been identified as a possible community health risk since it can be transferred through food chains and direct contact with chicken and poultry products [47, 48]. There are considerable gaps in combating infectious diseases, particularly in low and middle-income countries like Ethiopia, due to the high frequency of infection and inappropriate use of antibiotics in livestock [40]. Thus, antibiotic resistance may arise from improper drug usage at poultry farms and the nature of Klebsiella pneumoniae which are ubiquitous.

In our findings, Klebsiella pneumoniae showed substantial resistance to the majority of the antimicrobials evaluated, which is quite concerning. A previous study on Klebsiella pneumoniae found that uncontrolled antimicrobial consumption, inappropriate antibiotic prescription, substandard drug quality, and a lack of effective nosocomial infection prevention measures were key factors in the spread of antimicrobial resistance across studied countries [48, 49]. Because these circumstances may exist in Ethiopia, the increased medication resistance identified in the current investigation might be attributed to these variables.

Limitation of the study

The current study does not include molecular characterizations and identifications of other bacteria due to the low financial sources, and short study period.

Conclusion

The current study revealed that Klebsiella pneumoniae was prevalent in the study area. Also, an in-vitro antibiotic sensitivity test revealed high sensitivity to Penicillin G and high resistance to oxytetracycline. Breed and chicken production systems have an association with the disease occurrence and the disease was highest in Sasso (90.0%) and lowest in White leghorn (51.3%) breeds. This shows that the disease could be a threat to the poultry farm, which could result in significant economic loss to the farm. As a result, more research into its multi-drug resistance patterns and molecular characterization is required, and farming biosecurity measures, close monitoring of antibiotic resistance, and controlled use of antibiotics should be encouraged.

Data availability

All the datasets generated or analyzed during this study are included in this manuscript.

References

  1. Mengesha M. Indigenous chicken production and the innate characteristics. Asian J Poult Sci. 2012;6(2):56–64.

    Article  Google Scholar 

  2. Behnke RH, Muthami D. The contribution of livestock to the Kenyan economy. IGAD LPI Working Paper 03–11. 2011.

  3. Hundie D, Goshu G, Tamir B, Duguma G. Assessment on rural poultry production and marketing system of Horro chicken ecotypes in Western Ethiopia. J Agricultural Ext Rural Dev. 2019;11(12):248–59.

    Google Scholar 

  4. Adegbeye MJ, Salem AZ, Reddy PR, Elghandour MM, Oyebamiji KJ. Waste recycling for the eco-friendly input use efficiency in agriculture and livestock feeding. Resour Use Effi Agric. 2020:1–45.

  5. Sime AG. Review on poultry production, processing, and utilization in Ethiopia. Int J Agricultural Sci Food Technol. 2022;8(2):147–52.

    Article  Google Scholar 

  6. Meseret M, Solomon D, Tadelle D. Marketing system, socio-economic role and intra household dynamics of indigenous chicken in Gomma Wereda, Jimma Zone, Ethiopia. Livestock research for rural development. 2011;23(6):2–11.

  7. Guteta A. Dynamics of poultry production system, constraints, opportunities and marketing in Ethiopia. Dynamics. 2021;77.

  8. Wilson RT. Poultry production and performance in the Federal Democratic Republic of Ethiopia. World’s Poult Sci J. 2010;66(3):441–54.

    Article  Google Scholar 

  9. Habte T, Amare A, Bettridge JM, Collins M, Christley RM, Wigley P. Guide to chicken health and management in Ethiopia: for farmers and development agents. ILRI Man. 2017.

  10. Kumar N, Belay ZN, Shenkutie AM, Taddele H. Comparative study of the performance of Rhode Island red and bovans white under intensive management in Mekelle, Ethiopia. Int J Livest Res. 2014;4(2):92–8.

    Article  Google Scholar 

  11. Sultana R, Rimi NA, Azad S, Islam MS, Khan MS, Gurley ES, Nahar N, Luby SP. Bangladeshi backyard poultry raisers’ perceptions and practices related to zoonotic transmission of avian influenza. J Infect Developing Ctries. 2012;6(02):156–65.

    Article  Google Scholar 

  12. El-Twab A, Ashraf A, Sharawi SS, Nasef SA, El-Hofy FI, Sedeek A. Natural co-infection of Escherichia coli and infectious bronchitis virus in broilers and layers flocks. Benha Veterinary Med J. 2018;34(2):213–20.

    Article  Google Scholar 

  13. Tawyabur M, Islam MS, Sobur MA, Hossain MJ, Mahmud MM, Paul S, Hossain MT, Ashour HM, Rahman MT. Isolation and characterization of multidrug-resistant Escherichia coli and Salmonella spp. from healthy and diseased turkeys. Antibiotics. 2020;9(11):770.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Hayati M, Indrawati A, Mayasari NL, Istiyaningsih I, Atikah N. Molecular detection of extended-spectrum β-lactamase-producing Klebsiella pneumoniae isolates of chicken origin from East Java, Indonesia. Veterinary World. 2019;12(4):578.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Nordmann P, Cuzon G, Naas T. The real threat of Klebsiella pneumoniae carbapenemase-producing bacteria. Lancet Infect Dis. 2009;9(4):228–36.

    Article  CAS  PubMed  Google Scholar 

  16. Elhaki T, Gheysarzadeh A, Sadeghifard N, Pakzad I, Behrouzi A, Taherikalani M, Jalilian FA, Tabasi M, Azizian R. Frequency of Iron Uptake proteins related genes among isolates. Open Microbiol J. 2020;14(1).

  17. Almirall J, Bolíbar I, Serra-Prat M, Palomera E, Roig J, Carandell E, Agustí M, Ayuso P, Estela A, Torres A. Inhaled drugs as risk factors for community-acquired pneumonia. Eur Respir J. 2010;36(5):1080–7.

    Article  CAS  PubMed  Google Scholar 

  18. Zhu J, Wang T, Chen L, Du H. Virulence factors in hypervirulent Klebsiella pneumoniae. Front Microbiol. 2021;12:642484.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hartantyo SH, Chau ML, Koh TH, Yap M, Yi T, Cao DY, Gutierrez RA, Ng LC. Foodborne Klebsiella pneumoniae: virulence potential, antibiotic resistance, and risks to food safety. J Food Prot. 2020;83(7):1096–103.

    Article  CAS  PubMed  Google Scholar 

  20. Wang G, Zhao G, Chao X, Xie L, Wang H. The characteristics of virulence, biofilm, and antibiotic resistance of Klebsiella pneumoniae. Int J Environ Res Public Health. 2020;17(17):6278.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Manyi-Loh C, Mamphweli S, Meyer E, Okoh A. Antibiotic use in agriculture and its consequential resistance in environmental sources: potential public health implications. Molecules. 2018;23(4):795.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Muthuma EN, Gitau GK, Aboge GO. Antimicrobial usage in broiler farms in, peri-urban, Nairobi, Kenya. Am J Res Commun. 2016;4(8):14–29.

    Google Scholar 

  23. Agyare C, Boamah VE, Zumbi CN, Osei FB. Antibiotic use in poultry production and its effects on bacterial resistance. Antimicrob resistance—A Global Threat. 2018;5:33–51.

    Google Scholar 

  24. Davis GS, Waits K, Nordstrom L, Grande H, Weaver B, Papp K, Horwinski J, Koch B, Hungate BA, Liu CM, Price LB. Antibiotic-resistant Escherichia coli from retail poultry meat with different antibiotic use claims. BMC Microbiol. 2018;18:1–7.

    Article  Google Scholar 

  25. Hedman HD, Vasco KA, Zhang L. A review of antimicrobial resistance in poultry farming within low-resource settings. Animals. 2020;10(8):1264.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Eibach D, Dekker D, Boahen KG, Akenten CW, Sarpong N, Campos CB, Berneking L, Aepfelbacher M, Krumkamp R, Owusu-Dabo E, May J. Extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae in local and imported poultry meat in Ghana. Vet Microbiol. 2018;217:7–12.

    Article  PubMed  Google Scholar 

  27. Boamah VE, Agyare C, Odoi H, Dalsgaard A. Practices and factors influencing the use of antibiotics in selected poultry farms in Ghana. 2016.

  28. Livestock, Crop and Rural Development Bureau (LCRDB). Camel Development Road Map (Draft Document). Somali National Regional State, Ethiopia; 2012.

  29. Belaynesh D. Floristic composition and diversity of the vegetation, soil seed bank flora, and condition of the rangelands of the Jijiga Zone, Somali Regional State, Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Alemaya University, Ethiopia. 144p. 2006.

  30. Thrusfield M. Veterinary epidemiology. Wiley; 2018.

  31. Permatasari DA, Witaningrum AM, Wibisono FJ, Effendi MH. Detection and prevalence of multidrug-resistant Klebsiella pneumoniae strains isolated from poultry farms in Blitar, Indonesia. Biodiversitas J Biol Divers. 2020;21(10).

  32. Jayalakshmi K, Selvaraj P, Veeraselvam M, Yogeshpriya S, Venkatesan M. Diabetic ketoacidosis in a buck: a case report. Iran J Veterinary Res. 2019;20(3):213.

    CAS  Google Scholar 

  33. Putra AR, Effendi MH, Kurniawan F. Investigation of extended-spectrum beta-lactamase (ESBL) producing Escherichia coli by Vitek-2 on dairy cows in Surabaya, Indonesia. Biochem Cell Archives. 2020;20(2).

  34. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, Harbarth S, Hindler JF, Kahlmeter G, Olsson-Liljequist B, Paterson DL. Multidrug-resistant, extensively drug-resistant and pan drug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18(3):268–81.

    Article  CAS  PubMed  Google Scholar 

  35. Clinical and Laboratory Standard Institute (CLSI). Performance standards for Antimicrobial susceptibility testing. Twenty-eighth Inform Supplement CLSI Doc M100-S26. 2020;38 3:1–296. Wayne, P.A.

    Google Scholar 

  36. Aly MM, Khalil S, Metwaly A. Isolation and molecular identification of Klebsiella microbe isolated from chicks. Alexandria J Veterinary Sci. 2014;43(1).

  37. Puspandari N, Sunarno S, Febrianti T, Febriyana D, Saraswati RD, Rooslamiati I, Amalia N, Nursofiah S, Hartoyo Y, Herna H, Mursinah M. Extended spectrum beta-lactamase-producing Escherichia coli surveillance in the human, food chain, and environment sectors: tricycle project (pilot) in Indonesia. One Health. 2021;13:100331.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Dashe YG, Raji MA, Abdu PA, Oladele BS. Distribution of aerobic bacteria in visceral organs of sick and apparently healthy chickens in Jos, Nigeria. Int Res J Microbiol. 2013;4(3):79–83.

    Google Scholar 

  39. Popy N, Asaduzzaman M, Miah MS, Siddika A, Sufian MA, Hossain MM. Pathological study on the upper respiratory tract infection of chickens and isolation, identification of causal bacteria. (2011): 60–9.

  40. Bushen A, Tekalign E, Abayneh M. Drug-and multidrug-resistance pattern of Enterobacteriaceae isolated from droppings of healthy chickens on a poultry farm in Southwest Ethiopia. Infect drug Resist. 2021;20(5):1–8.

    Google Scholar 

  41. Mak PH, Rehman MA, Kiarie EG, Topp E, Diarra MS. Production systems and important antimicrobial resistant-pathogenic bacteria in poultry: a review. J Anim Sci Biotechnol. 2022;13(1):148.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Tefera M, Aleme H, Girma S, Ali A, Gugsa G, Abera F, Muzeyin R, Legesse T, Gobena W, Fentaw S, Abubaker R. Antimicrobial susceptibility pattern of isolated from Sheep and Goat carcasses. Open Microbiol J. 2019;13(1).

  43. Otalu OJ, Junaidu K, Chukwudi OE, Jarlath UV. Multi-drug resistant coagulase-positive Staphylococcus aureus from live and slaughtered chickens in Zaria, Nigeria. Int J Poult Sci. 2011;10(11):871–5.

    Article  CAS  Google Scholar 

  44. Das T, Nandy S, Mukherjee A, Nongdam P, Dey A. Plant essential oils for combating antimicrobial resistance via re-potentiating the fading antibiotic arsenal. Antimicrob Resistance: Underlying Mech Therapeutic Approaches. 2022:419–85.

  45. Butaye P, Argudín MÁ, Threlfall J. Introduction to antimicrobial-resistant foodborne pathogens. InAntimicrobial Resist food Saf 2015:1–17.

  46. Solari FB. Molecular epidemiological approach to understand and control the emergence and spread of drug-resistant Mycobacterium tuberculosis strains in Lima, Peru. Universiteit Antwerpen (Belgium); 2015.

  47. Dávalos-Almeyda M, Guerrero A, Medina G, Dávila-Barclay A, Salvatierra G, Calderón M, Gilman RH, Tsukayama P. Antibiotic use and resistance knowledge assessment of personnel on chicken farms with high levels of antimicrobial resistance: a cross-sectional survey in Ica, Peru. Antibiotics. 2022;11(2):190.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Breurec S, Guessennd N, Timinouni M, Le TT, Cao V, Ngandjio A, Randrianirina F, Thiberge JM, Kinana A, Dufougeray A, Perrier-Gros-Claude JD. Klebsiella pneumoniae resistant to third-generation cephalosporins in five African and two Vietnamese major towns: multiclonal population structure with two major international clonal groups, CG15 and CG258. Clin Microbiol Infect. 2013;19(4):349–55.

    Article  CAS  PubMed  Google Scholar 

  49. Asefa Kebede I, Duga T. Prevalence and antimicrobial resistance of salmonella in poultry products in central Ethiopia. Veterinary Medicine International. 2022; 20:2022.

Download references

Funding

The current study was funded by the Jigjiga University Research and Community Service Vice President Office.

Author information

Authors and Affiliations

  1. College of Veterinary Medicine, JigJiga University, JigJiga, Ethiopia

    Mohamed Abdi Kahin, Abdimalik Hussein mohamed & Ahmed Abdi Mohomed

  2. Ministry of Livestock and Rural Development, Hargeisa, Somaliland

    Mubarik Ali Hassan

  3. School of Veterinary Medicine, Wolaita Sodo University, P. O. Box 138, Wolaita Sodo, Ethiopia

    Haben Fesseha Gebremeskel

  4. School of Veterinary Medicine, Ambo University, P. O. Box 19, Guder, Ethiopia

    Isayas Asefa Kebede

Authors
  1. Mohamed Abdi Kahin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdimalik Hussein mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ahmed Abdi Mohomed
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mubarik Ali Hassan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Haben Fesseha Gebremeskel
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Isayas Asefa Kebede
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Mohamed Abdi Kahin, Abdimalik Hussein Mohamed, Ahmed Abdi Mohomed, Mubarik Ali Hassan, Haben Fesseha Gebremeskel contributed to data collection, study design, and interpretation, manuscript draft, and writing; Mohamed Abdi Kahin and Haben Fesseha Gebremeskel contributed to the conception of the research idea, study design, data analysis, writing, revising and editing, the design of the study, and data interpretation; Haben Fesseha Gebremeskel, and Isayas Asefa Kebede contributed to the data analysis, reference search, and revising and editing, and all authors approved the submission of the final manuscript.

Corresponding author

Correspondence to Isayas Asefa Kebede.

Ethics declarations

Ethics approval and consent to participate

The study was carried out in compliance with the ARRIVE guidelines. This research project was approved by the Jigjiga University, College of Veterinary Medicine- Research Review Committee (Protocol No. JJU/CVM/clis/022/14). Faeces samples were collected in adherence to a high standard of veterinary care and informed consent was obtained from all subjects and/or their legal guardian(s) for animal use. During the study, all methods were performed following the animal welfare and relevant guidelines.

Consent for publication

Not applicable.

Conflict of interest

All authors have nothing to disclose in this work.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kahin, M.A., mohamed, A.H., Mohomed, A.A. et al. Occurrence, antibiotic resistance profiles and associated risk factors of Klebsiella pneumoniae in poultry farms in selected districts of Somalia Reginal State, Ethiopia. BMC Microbiol 24, 137 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12866-024-03298-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12866-024-03298-1

Keywords

BMC Microbiology

ISSN: 1471-2180

Contact us