Prevalence and antimicrobial susceptibility profile of Salmonella isolated from vegetable farms fertilized with animal manure in Addis Ababa Ethiopia

Abstract

The resistance of foodborne pathogens to antimicrobial agents is a potential danger to human health. Hence, establishing the status of good agricultural practices (GAPs) and the antimicrobial susceptibility of major foodborne pathogens has a significant programmatic implication in planning interventions. The objective of this study was to assess the gap in attaining GAP and estimate the prevalence and antimicrobial susceptibility profile of Salmonella in vegetable farms fertilized with animal manure in Addis Ababa, Ethiopia. A total of 81 vegetable farms from four sub-cities in Addis Ababa were visited, and 1119 samples were collected: soil (n = 271), manure (n = 375), vegetables (n = 398), and dairy cattle feces (n = 75). Additional data were collected using a structured questionnaire. Isolation of Salmonella was done using standard microbiology techniques and antimicrobial susceptibility testing was conducted using disk diffusion assays. Carriage for antimicrobial resistance genes was tested using polymerase chain reaction (PCR). Among the 81 vegetable farms visited, 24.7% used animal manure without any treatment, 27.2% used properly stored animal manure and 80.2% were easily accessible to animals. The prevalence of Salmonella was 2.3% at the sample level, 17.3% at the vegetable farm level, and 2.5% in vegetables. The highest rate of resistance was recorded for streptomycin, 80.7% (21 of 26), followed by kanamycin, 65.4% (17 of 26), and gentamicin, 61.5% (16 of 26). Multidrug resistance was detected in 61.5% of the Salmonella isolates. Vegetable farms have a gap in attaining GAPs, which could contribute to increased contamination and the transfer of antimicrobial resistance to the vegetables. The application of GAPs, including proper preparation of compost and the appropriate use of antimicrobials in veterinary practices, are recommended to reduce the emergence and spread of antimicrobial resistance.

Introduction

Foodborne infections are major public health problems worldwide¹. For a healthy lifestyle, eating vegetables is encouraged to prevent different chronic diseases². However, the number of foodborne outbreaks caused by contaminated vegetables is increasing from time to time³. Animal manure, which is widely used as fertilizer in different parts of the world to increase agricultural production⁴, can be contaminated with foodborne bacteria such as Salmonella, Escherichia coli, and Campylobacter, increasing the risk of infection by these pathogens⁵. Salmonella is the leading cause of produce-related outbreaks worldwide⁶.

The application of animal manure as fertilizer has been reported to contaminate soil with antimicrobial agents discharged from the feces or urine of animals⁷. In addition to the presence of foodborne pathogens in the food chain, antimicrobial-resistant bacteria carrying different genetic resistance markers enter the human food chain from food animals subjected to regular antibiotic treatments⁸. This is a major health concern because many of the antimicrobial agents used in animal production and human therapeutics are analogues⁹. These analogue antibiotics may select for resistant phenotypes of the pathogen that could cause more antibiotic-resistant bacterial illnesses in humans¹⁰.

The application of animal manure to agricultural soil during the production of food crops to improve soil fertility is a routine practice in many countries around the world, including Ethiopia^11,12. In developing countries, animal manure is a major nutrient source for smallholder farmers who cannot afford mineral fertilizers⁴. In urban and peri-urban Addis Ababa, there are small-scale farms in close proximity to human residential areas, and in some cases, animal manure is used as fertilizer for the growth of different vegetables¹³.

Multiple studies have shown the occurrence of Salmonella and the increase in antimicrobial resistance among Salmonella isolates in Ethiopia. For instance, the prevalence of Salmonella in poultry farms was 14.6%¹⁴, and that in dairy farms was 8.3%¹⁵. The prevalence of Salmonella in diarrheic patients ranges from 1.1 to 6.2%^16,17. In addition, several studies in Ethiopia have reported a high rate of antimicrobial resistance in Salmonella isolates from different sources^18,19. However, there is a lack of data showing the impact of using animal manure as fertilizer on the dissimilation of Salmonella.

Here, we investigated the prevalence and antimicrobial resistance profile of Salmonella from animal manure amended vegetable farms in highly populated urban and peri-urban Addis Ababa, where vegetable farms are in close proximity to animals and humans. The good agricultural practices (GAPs) of these vegetable farms were also assessed.

Materials and methods

Study area and study design

This study was conducted in Addis Ababa, Ethiopia. Addis Ababa is the capital city of Ethiopia, located at 9° 1′ 48″ N, 38° 44′ 24″ E. The average altitude of Addis Ababa is 2400 m above sea level, with the highest elevation at Entoto Hill to the north reaching 3200 m. It has a subtropical highland climate, with average annual temperature of 16.3 °C and 1089 mm annual rainfall²⁰. A cross-sectional study was conducted from February 2022 to March 2023.

Study farms

Four of the 11 sub-cities in Addis Ababa: Akaki-Kality, Nifas-Silk Lafto, Arada, and Gulelle sub-cities were randomly selected of which vegetable farms available in these sub-cities that reported the use of animal manure as fertilizer were recruited. Based on the availability of farms in each sub-city, a total of 81 vegetable farms were visited: 41 from the Akaki Kality sub-city, 23 from Nefas-Silk Lafto, 14 from the Gulele sub-city, and 3 from the Arada sub-city as shown in our previous study²¹.

Data and sample collection

A farm review consisting of onsite observation and face-to-face interviews with vegetable farmers was conducted in the visited 81 vegetable farms. The farm review was based on the USA Department of Agriculture (USDA) checklist for Good Agricultural Practices (GAPs)²². The focus was given to the source of water, animal activity, and handling of compost manure as part of the WHO requirement to grow safer vegetables¹.

Manure, soil, and vegetable sample collection was performed as previously described^23,24. Briefly, from each vegetable farm, 15 surface subsamples (0–20 cm) (3 plots of 1 m² each, per farm, 6 m apart from each other, and 5 subsamples from each plot, including the four corners and the middle of the plot) were collected and made into a single composite soil. Six manure samples were collected from each farm and pooled to obtain one composite manure sample. The same sampling technique was followed, except that only six subsamples (for each vegetable type) were used in the case of vegetables. Moreover, fresh fecal droppings from dairy cattle living around vegetable farms were also collected.

A total of 1119 samples were collected: 521 samples from Akaki Kality, 268 from Nefas Selk Lafto, 258 from Gulele, and 72 from Arada. Based on sample type, 398 were vegetables, 375 were manure, 271 were soil, and 75 were dairy cattle feces. The number and type of samples collected in each sub-city are shown in Table 1.

Table 1.

Number of vegetable farms visited in each sub city and type of the collected sample.

Sub city	No. of farms	No. of samples collected	Sample type
			Manure	Soil	Feces	Vegetables
						Kale	Cabbage	Lettuce	Swiss chard
Gulele	14	258	87	79	20	33	1	24	14
Arada	3	72	19	22	-	7	2	18	4
Akaki Kality	41	521	174	115	39	52	35	74	32
Nefas Selk Lafto	23	268	95	55	16	28	15	37	22
Total	81	1119	375	271	75	120	53	153	72

Then samples were transported to the Microbiology Laboratory of the Aklilu Lemma Institute of Pathobiology, Addis Ababa University, in an icebox containing an ice pack and processed within 4–6 h of collection.

Isolation and identification of Salmonella

Salmonella was detected using the guidelines of the International Organization for Standardization (ISO) 6579²⁵. Ten grams of each sample was suspended in 90 mL of Buffered Peptone Water (BPW) and mixed by shaking to form a slurry. The slurry was incubated at 37 °C for 24 h, and 1 mL of the slurry was enriched in 10 mL tetrathionate broth (Oxoid Ltd., Cambridge, UK) and incubated at 37 °C for 24 h. One hundred µL of the grown culture was then transferred to 9.9 mL of Rappaport–Vassiliadis broth (RV; Oxoid Ltd., Cambridge, UK) and incubated at 42 °C for 24 h. A loopful of bacteria grown in RV were plated on XLT-4 plates and incubated at 37 °C for 24 h²⁶. Identification of presumptive Salmonella colonies and biochemical tests were performed as described previously²⁷.

Isolates showing specific biochemical characteristics of Salmonella were further confirmed using Salmonella genus-specific PCR as previously described²⁸. PCR was based on the amplification of a 496-base pair (bp) segment of histidine transport operon gene, which is highly conserved among species of Salmonella. The forward and reverse primer sequences, from 5′ to 3′ were ACTGGCGTTATCCCTTTCTCTGGTG; and ATGTTGTCCTGCCCCTGGTAAGAGA. The reference strain of Salmonella enterica serovar Typhimurium ATCC 13311 was used as a positive control. PCR confirmed Salmonella isolates were preserved at − 80 °C in 20% glycerol until further analysis.

Antimicrobial susceptibility testing

Antimicrobial susceptibility testing of the Salmonella isolates was performed according to the Clinical Laboratory Standards Institute guideline²⁹ using the Kirby-Bauer disk diffusion method on Muller-Hinton agar plates (Oxoid, CM0337 Basingstoke). The antimicrobial agents used in the present study were ampicillin (10 μg), nalidixic acid (30 µg), sulfamethoxazole + trimethoprim (1.25/23.75 μg), sulfisoxazole(1000 μg), chloramphenicol (30 μg), ceftriaxone (30 μg), amoxicillin + clavulanic acid (20/10 µg), streptomycin (10 μg), kanamycin (30 μg), ciprofloxacin (5 μg), tetracycline (30 μg), gentamicin (10 μg), amikacin (30 μg) and azithromycin (15 μg). The antimicrobial disks used in this study were all from Sensi-Discs (Becton, Dickinson, Company, Loveton, USA).

Salmonella isolates were considered multidrug-resistant when they were resistant to three or more antimicrobial agents belonging to different classes³⁰. Escherichia coli ATCC 25922 was used as a quality control strain when conducting antimicrobial susceptibility tests.

Salmonella isolates that were phenotypically resistant to tetracycline, ampicillin, gentamycin, streptomycin and sulfonamide were screened for: tetracycline resistant genes (tet(A), tet(B), and tet(C)), aminoglycoside resistance genes (aminoglycoside acetyltransferase genes (aac (3)-IV), and adenyl transferase gene (aadA), sulfonamide resistant genes (sulI and sulII), and beta-lactamase gene (bla _TEM), using conventional PCR. The PCR conditions and primer sequences are described previously²¹. The PCR product was observed using agarose gel electrophoresis.

Statistical analysis

Descriptive statistical methods were used to summarize the characteristics of the farms. The chi-square test was used to assess the associations of different factors with Salmonella positivity. A p-value less than 0.05 was considered to indicate a statistically significant association. SPSS version 26 was used to perform the descriptive analysis and the association between the antimicrobial resistance pattern, their genetic determinants, and the source of the isolates was assessed as described previously²¹.

Ethical consideration

The Institutional Review Board of Aklilu Lemma Institute of Pathobiology reviewed the protocol for its ethical and methodological standards and approved the conduct of the study (Ref. No. ALIPB IRB/75/2014/22 on April 30, 2022). The plant collection and use was in accordance with all the relevant guidelines.

Results

Vegetable farm description and farm practices

Most of the vegetable farms, 95% (77 of 81) used dairy manure, while only 5% (4 of 81) used poultry litter to fertilize their farms. The majority (88.8%; 71/88) applied both organic and inorganic fertilizers, and the remaining 11.1% (9 of 81) used only organic fertilizer. Of the 81 vegetable farms visited, 75.3% (61 of 81) used compost, and the remaining 24.7% (20 of 81) of the farmers applied animal manure without any treatment. Only 27.2% (22 of 81) of the vegetable farms stored manure properly to prevent contamination.

Most of the vegetable farms (80.2%; 65/81) were not fenced and were easily accessible to domestic and wild animals. A total of 92.6% (75 of 81) of the vegetable farms reported that they use river water and 7.4% (6 of 81) of the farms use both rain water and tap water to irrigate their farms.

There are no steps taken to protect irrigation water from contamination or to restrict livestock access to the source or delivery of irrigation water. There was no monitoring system on the farms for the presence of animals entering the vegetable farms. Most of the vegetable farms use composted manure to fertilize their farms 75.3% (61 of 81), whereas 24.7% (20 of 81) farms use fresh, untreated manure. Only 27.2% (22 of 81) of the vegetable farms stored manure properly to prevent contamination (Table 2).

Table 2.

Results of farm review checklist for good agricultural practices (GAPs). Number of farms studied (n = 81).

No	Farm aspect of good agricultural practice activity question	Number of farms in each category (%)
		Yes	No	NA
Water usage
1	If the farm use irrigation, are steps taken to protect irrigation water from potential direct and nonpoint source contamination	0	76 (93.8)	5 (6.2)
Sewage treatment
2	There is no municipal/commercial sewage treatment facility or waste material landfill adjacent to the farm	55 (67.9)	26 (32.1)	0
Animal/wildlife/livestock
3	Vegetable farm areas are not located near or adjacent to dairy, livestock, or poultry production facilities unless adequate barriers exist	49 (60.5)	32 (39.5)	0
4	Manure lagoons located near to the vegetable farm areas are maintained to prevent leaking/overflowing, or measures have been taken to stop runoff from contaminating the vegetable farm areas	16 (19.8)	27 (33.3)	38 (46.9)
5	Manure stored near or adjacent to vegetable farm areas is contained to prevent contamination of crops	22 (27.2)	27 (33.3)	32 (39.5)
6	Measures are taken to restrict access of livestock to the source or delivery system of crop irrigation water	0	0	81(100)
7	Vegetable farm areas are monitored for the presence or signs of wild or domestic animals entering the land	0	0	81(100)
8	Measures are taken to reduce the opportunity for wild and/or domestic animals from entering vegetable farm areas	16 (19.8)	65 (80.2)	0
Manure option A: raw manure
9	When raw manure is applied, it is incorporated at least 2 weeks prior to planting or a minimum of 120 days prior to harvest	20 (24.7)	61 (75.3)	0
10	Raw manure is not used on commodities that are harvested within 120 days of planting	20 (24.7)	61 (75.3)	0
11	If both raw and treated manure are used, the treated manure is properly treated, composted or exposed to reduce the expected levels of pathogens	12 (14.8)	69 (85.2)	0
12	Manure is properly stored prior to use	10 (12.3)	71 (87.7)	0
Manure option B: composted manure
13	Only composted manure is used as a soil amendment	61 (75.3)	20 (24.7)	0
14	Composted manure is properly treated, composted, or exposed to environmental conditions that would lower the expected level of pathogens	26 (32.1)	55 ( 67.9)	0
15	Composted manure is properly stored and are protected to minimize recontamination	12 (14.8)	69 (85.2)	0

NA not applicable.

Prevalence and distribution of Salmonella

The farm level prevalence of Salmonella in vegetable farms was 17.3% (14 of 81). In terms of sub-city stratification, 17.0% (7 of 41) of the vegetable farms in Akaki Kality, 21.7% (5 of 23) of the vegetable farms in Nefas Selk Lafto, and 14.3% (2 of 14) of the vegetable farms in the Gulele sub-city were positive for Salmonella. The presence of Salmonella in vegetable farms was not significantly associated with any of the studied factors or sub-city classifications (p > 0.05).

The sample-level prevalence of Salmonella was 2.3% (26/1119). The 26 Salmonella isolates were obtained from samples collected in the Gulele sub-city (4/258; 1.6%), Akaki Kality sub-city (13/521; 2.5%), and Nefas Selk Lafto sub-city (9/268; 3.3%), and no Salmonella was isolated from the Arada sub-city. The prevalence of Salmonella on vegetable farms is summarized in Table 3.

Table 3.

Prevalence of Salmonella in vegetable farms in Addis Ababa, Ethiopia.

Sub city	No of vegetable farms	No of samples	No (%) of positive samples	No (%) of positive farms
Gulele	14	258	4 (1.6)	2 (14.3)
Arada	3	72	–	–
Akaki kality	41	521	13 (2.5)	7 (17.0)
Nefas Selk Lafto	23	268	9 (3.3)	5 (21.7)
Total	81	1119	26 (2.3)	14 (17.3)

The highest prevalence (5.3%; 4/75) was detected in dairy cattle feces, followed by vegetables (2.5%; 10/398). A similar prevalence (1.8%) was detected in manure (7/375) and soil (5/271) samples. From the total of 398 vegetable samples, the highest prevalence was recorded in lettuce at 3.2% (5 of 153). However, the prevalence of Salmonella in kale was 2.5% (3 of 120) and, that in Swiss chard was 2.7% (2 of 72). Salmonella was not isolated from cabbage. The prevalence of Salmonella in different sample types and vegetables is shown in Fig. 1.

Figure 1.

Radar map of (A) number of Salmonella positive samples: manure, soil, feces, and vegetables; and (B) number of Salmonella positive vegetables: kale, cabbage, swiss chard, and lettuce.

Antimicrobial susceptibility profile of Salmonella

Regardless of the source, all the Salmonella isolates were susceptible to chloramphenicol, ceftriaxone and meropenem. The highest resistance rate was recorded for streptomycin (80.7%, 21 of 26), followed by kanamycin (65.4%, 17 of 26), and gentamicin (61.5%, 16 of 26). The resistance to amoxicillin + clavulanic, amikacin, and ciprofloxacin was 30.7% (8 of 26), 15.3% (4 of 26), and 11.5% (3 of 26), respectively. Resistance to sulfamethoxazole + trimethoprim was 53.8% (14 of 26), and that of sulfisoxazole was 46.1% (12 of 26) (Fig. 2). A similar resistance rate of 26.9% (7 of 26) was recorded for tetracycline and nalidixic acid and 34.6% (9 of 26) for ampicillin and azithromycin. Multidrug resistance was observed in 61.5% (16 of 26) of the Salmonella isolates.

Figure 2.

Antimicrobial resistance profile of Salmonella from vegetable farms in Addis Ababa, Ethiopia. Te tetracycline, C chloramphenicol, Amp ampicillin, Gm gentamicin, S streptomycin, K kanamycin, An amikacin, Na nalidixic acid, Cip ciprofloxacin, Cro ceftriaxone, Amc amoxicillin + clavulanic-acid, Stx sulfamethoxazole + trimethoprim, Su sulfisoxazole, Azm azithromycin, Mem meropenum.

Antimicrobial resistance genotypic profile of the Salmonella isolates

Resistance genes encoding for aminoglycoside resistance aadA were detected in 76.2% (16 of 21) of tested isolates, followed by bla_TEM detected in 66.6% (6 of 9), and aac(3)-IV was detected in 62.5% (10 of 16) of isolates. On the other hand, tet (A) and tet (B) were detected in 28.6% (2 of 7), and 57.1% (4 of 7), respectively, and tet (C) gene was detected in none of the isolates. Moreover, sulI and, sulII were detected in 28.6% (4 of 14) and 50% (7 of 14), of the strains, respectively. The detailed distribution of AMR genes among Salmonella isolates from different sample sources is shown in Table 4.

Table 4.

Prevalence of selected antimicrobial resistance genes in E. coli isolates obtained from manure, soil, feces and vegetables in Addis Ababa, Ethiopia.

Encode resistance to	Source of Salmonella isolates	No. of resistant isolates	Tested resistant genes	No. of positive (%)
Tetracycline	Manure	4	tet (A)	1 (25)
			tet (B)	3 (75)
			tet (C)	0
	Soil	1	tet (A)	0
			tet (B)	1 (100)
			tet (C)	0
	Vegetables	2	tet (A)	1 (50)
			tet (B)	0
			tet (C)	0
	Feces	0	tet (A)	0
			tet (B)	0
			tet (C)	0
Ampicillin	Manure	3	blaTEM	3 (100)
	Soil	1	blaTEM	1(100)
	Vegetables	2	blaTEM	1 (50)
	Feces	3	blaTEM	1 (33.3)
Gentamicin	Manure	6	aac(3)-IV	3 (50)
	Soil	2	aac(3)-IV	1 (50)
	Vegetables	7	aac(3)-IV	5 ()
	Feces	1	aac(3)-IV	1(100)
Streptomycin	Manure	7	aadA	4 (57.1)
	Soil	4	aadA	4(100)
	Vegetables	6	aadA	4 (66.6)
	Feces	4	aadA	4 (100)
Sulfonamide	Manure	4	sulI	2 (50)
			sulII	1 (25)
	Soil	5	sulI	0
			sulII	4 (80)
	Vegetables	3	sulI	1 (33.3)
			sulII	2 (66.6)
	Feces	2	sulI	1 (50)
			sulII	0

Correlation between phenotypic and genotypic resistance profiles of Salmonella isolates

Hierarchal clustering showed that eleven Salmonella isolates that were susceptible to tetracycline were clustered together (Cluster A). Moreover, six isolates in this cluster were streptomycin resistant and contained the aadA gene. Another nine Salmonella isolates susceptible to nalidixic acid and ciprofloxacin and one tetracycline resistant isolate were clustered together (Cluster B). In Cluster B, there were six Salmonella isolates that were resistant to gentamycin and contained aac(3)-IV. Six isolates in Cluster B were from vegetable samples, one from a fecal sample and two from a manure sample. Similarly, six Salmonella isolates were clustered together, all of which were resistant to streptomycin and kanamycin (Cluster C).

Hierarchal clustering revealed that all the Salmonella isolates from the manure and feces samples were resistant to streptomycin. Similarly, all the Salmonella isolates from the soil samples were resistant to sulfamethoxazole + trimethoprim. Salmonella isolates from fecal samples showed the highest rate of resistance to ampicillin and amoxicillin + clavulanic acid. Among Salmonella isolates from manure samples, the highest rate of resistance was recorded for gentamicin and kanamycin. However, based on antimicrobial resistance patterns, isolates with different resistance profiles were shown to be distributed across farms, sub-cities, and specimen types. The antimicrobial susceptibility profiles of Salmonella isolates from different sub-cities, and sample types are summarized in Fig. 3.

Figure 3.

Hierarchal clustering of Salmonella. Samples were clustered according to farm, sub-city, sample type, and phenotypic antimicrobial resistance profile. Amp ampicillin, Na nalidixic acid, Sxt sulfamethoxazole + trimethoprim, Su sulfisoxazole, Amc amoxicillin + clavulanic acid, S streptomycin, K kanamycin, Cip ciprofloxacin, Te tetracycline, Gm gentamycin, An amikacin, C chloramphenicol, Mem meropenum, Cro ceftriaxone, Azm azithromycin.

According to the correlation analysis, antimicrobial agents of the same antimicrobial class were strongly and positively correlated. Additionally, phenotypic resistance is positively and strongly correlated with genotypic resistance. For instance, in the aminoglycoside class of antimicrobials, streptomycin and kanamycin (r = 0.98) were strongly and positively correlated with corresponding resistance genes. Sulfamethoxazole + trimethoprim and sulfisoxazole were strongly and positively correlated (r = 0.9). Moreover, antimicrobials from different classes were correlated with each other. For instance, tetracycline and ampicillin were strongly and positively correlated (r = 0.9). Genotypic resistance to tetracycline was and strongly correlated with tet (A) and tet (B).

Discussion

Food safety has come a major public health concern driven by widespread outbreaks of Salmonella, E. coli O157, and Campylobacter³¹. Fresh vegetables can be contaminated at various stages, from farm to fork³². Leafy vegetables are associated with foodborne disease outbreaks, mainly due to Salmonella and E. coli infections³³. These outbreaks could be attributed to environmental reservoirs of pathogens and possibly contaminated soil³⁴.

Of the vegetable farms included in the current study, 24.6% used animal manure directly without any treatment, which is lower than that reported previously³⁵. This result is greater than a report from Minnesota, where only 2% of the farmers applied raw manure³⁶. The application of raw manure as fertilizer to vegetables could contribute to vegetable contamination because it is a common source of E. coli, Salmonella, Campylobacter, and Listeria spp.³⁷.

Only 19.8% of the farms were fenced, and the majority were easily accessible by domestic and wild animals in the current study, which is lower than the 60% in Nigeria³⁸ and 23% in the US³⁶. Fencing vegetable farms is an important agricultural practice because both wild and domestic animals are sources of contamination with foodborne pathogens³⁹.

Untreated wastewater is widely used in urban and peri-urban areas of developing countries⁴⁰. In Ethiopia, a large volume of wastewater is released into water bodies that farmers use for irrigation⁴¹. In this study, rivers were the main source of water for 92.5% of the farms, which is higher than that reported in another study³⁵. Moreover, none of the farms protect against the contamination from the water used for irrigation. In previous studies in Nigeria and South Africa, contamination level of water used for irrigation was higher than the WHO standard^42,43. In addition, studies in Ethiopia showed that dirty water used for irrigation is the main source of contamination^23,44.

The prevalence of Salmonella in this study (2.3%) is lower than that in reports from different countries^35,45,46 and higher than that in other studies^47,48. The variability of the prevalence of foodborne pathogens across different geographical areas could be due to seasonal variability and the level of GAP implementation on vegetable farms³⁵. In the present study, the prevalence of Salmonella varied across the four sub-cities; some of these variabilities could be attributed to their geographic location, the concentration of farms in each location, differences in the number of farms represented, and their agricultural systems^49,50.

The prevalence of Salmonella in the feces of dairy cattle in the current study (5.3%) was relatively higher than reports from previous studies in Ethiopia which ranged from 1.6 to 4.7%^14,51–53 and lower than the 10.7% prevalence in another study in Ethiopia⁵⁴. These differences might be due to variations in living and housing conditions and the type of feed provided to cattle⁵⁵. The difference in the way feces were collected could also be the reason for the variation. In the current study, fresh feces were collected from the ground, while in some of the previous studies; feces were collected directly from the rectum of the animals.

The prevalence of Salmonella in vegetables (2.5%) in the current study was lower than previous report from China (3.4%)⁵⁶. The prevalence of Salmonella in lettuce in the current study is higher than the report from a study in Rwanda (1%)³⁵. Lettuce is the most consumed leafy vegetable, and Salmonella is one of the common pathogens identified in lettuce⁵⁷.

The prevalence of Salmonella in soil and manure in the current study was lower than in the US^24,58. Agricultural animal feeding regimens can affect manure composition and the survival of pathogens in manure⁵⁹. Contaminated manure plays an important role in contaminating agricultural soil, irrigated water, and vegetables, and it enables the microorganisms to survive in soil for several months³⁷.

The highest resistance rates were recorded for streptomycin, kanamycin, and gentamicin. Development of resistance to these antimicrobials poses significant public health consequences. High rate of resistance was recorded to ciprofloxacin in the current study. According to WHO classification, fluoroquinolones including ciprofloxacin is recommended to be used only in humans due to its high risk of antimicrobial resistance⁶⁰. Detection of such high level of resistance to this antimicrobial might be due to contamination of the environment by microorganisms from public health facilities. Multidrug-resistant Salmonella is one of the leading veterinary and public health problems worldwide⁶¹. In this study, 61.5% of the Salmonella isolates were multidrug-resistant. This finding was lower than that reported in China (92.9%)⁴⁷, and was higher than that reported in Ethiopia and elsewhere (17.9%–58.7%)^24,51,52. The difference in the use of veterinary antimicrobials may be the reason behind the observed differences.

Sulfonamides, tetracyclines, and fluoroquinolones persist longer in soil and are detected in farm environments⁶². In addition to creating selection pressure on microorganisms in the soil and produce, veterinary antimicrobials could be transferred to the produce, contributing to antimicrobial resistance and possible toxicity in humans consuming these produces⁶³. The application of animal manure on vegetable farms is recognized as an important route of transmission for antimicrobial resistance to foodborne pathogens⁶⁴. Contamination of farmlands with antibiotics used for veterinary purposes is a global concern⁶⁵.

The occurrence of a high rate of resistance to gentamicin, kanamycin, and streptomycin in this study was strongly and positively correlated, and the occurrence of  sulfamethoxazole + trimethoprim and sulfisoxazole was strongly and positively correlated. This correlation could be due to the co-selection of resistance to these antimicrobials in Salmonella isolates and some of the resistance genetic markers may also be carried on same mobile genetic elements⁶⁶. Studies have shown that there is clonal relatedness among multidrug-resistant Salmonella isolates in manure and soil, which highlights the potential role of manure application in the dissemination and persistence of multidrug-resistant Salmonella²⁴.

Conclusion

Animal manure is a reservoir for different foodborne pathogens. Our results showed that vegetable farms that applied animal manure as fertilizer were contaminated with Salmonella. Moreover, most of these Salmonella isolates were multidrug-resistant. Good Agricultural Practice (GAP) was designed to address the source of vegetable contamination, but limited GAP efforts are being made in Addis Ababa to reduce food safety risks. Therefore, there is a need to treat and implement appropriate measures, including composting, before applying animal manure to agricultural farms. In addition, protecting farms from contamination by foodborne pathogens is recommended.

Author contributions

All authors reviewed the manuscript. Conceptualization, WH, and TE; methodology, WH, HA, GM, GR, LH, DW, WG, and TE; software, WH, and GM; validation, GM and TE; formal analysis, WH, and GM; investigation, WH, HA, GM, LH, DW, GR, WG, TE; data curation, WH, HA, GM, GR, WG, and TE; writing—original draft preparation, WH, HA, GM, TE; writing—review and editing, WH, HA, GM, LH, DW, GR, WG, and TE; supervision, GM, GR, WG, TE; funding acquisition, TE.

Funding

This study was supported by Addis Ababa University thematic research project and Sustainable One Health Research Training Capacity (OHEART): Molecular epidemiology of zoonotic foodborne and waterborne pathogens in Eastern Africa, funded by the NIH Fogarty International Center (D43TW008650), through the Global One Health initiative (GOHi).

Data availability

The authors confirm that all the data are included in the manuscript.

Competing interests

The authors declare no competing interests.