Journal of
Microbiology and Antimicrobials

  • Abbreviation: J. Microbiol. Antimicrob.
  • Language: English
  • ISSN: 2141-2308
  • DOI: 10.5897/JMA
  • Start Year: 2009
  • Published Articles: 166

Full Length Research Paper

Prevalence and characterization of Salmonella isolated from vegetables salads and ready to eat raw mixed vegetable salads in Abidjan, Côte d’Ivoire

Evelyne TOE
  • Evelyne TOE
  • UFR of Biological Sciences, Department of Biochemistry-Genetic, University Peleforo Gon Coulibaly, Korhogo, Côte d’Ivoire.
  • Google Scholar
Paul ATTIEN
  • Paul ATTIEN
  • Biochemistry-Microbiology Department, Agrovalorisation Laboratory, Jean Lorougnon GUEDE University, Daloa, Côte d´Ivoire.
  • Google Scholar
Aboya Jean-Luc MOROH
  • Aboya Jean-Luc MOROH
  • UFR of Biological Sciences, Department of Biochemistry-Genetic, University Peleforo Gon Coulibaly, Korhogo, Côte d’Ivoire.
  • Google Scholar
Haziz SINA
  • Haziz SINA
  • Laboratory Biology and Typing Molecular in Microbiology, Faculty of Science and Technology, University of Abomey-Calavi, 05 BP 1604 Cotonou, Benin.
  • Google Scholar
Désiré Nzébo KOUAME
  • Désiré Nzébo KOUAME
  • UFR of Biotechnologies, Biosciences Laboratory, Félix Houphouët Boigny University Abidjan Côte d’Ivoire.
  • Google Scholar
Ollo KAMBIRE
  • Ollo KAMBIRE
  • Department of Bacteriology-Virology, National Reference Center for Antibiotics, Pasteur Institute of Côte d'Ivoire, Abidjan, Côte d'Ivoire.
  • Google Scholar
Lamine BABA-MOUSSA
  • Lamine BABA-MOUSSA
  • Laboratory Biology and Typing Molecular in Microbiology, Faculty of Science and Technology, University of Abomey-Calavi, 05 BP 1604 Cotonou, Benin.
  • Google Scholar
Nathalie GUESSENND
  • Nathalie GUESSENND
  • Laboratory of Biotechnology and Food Microbiology, Department of Food Science and Technology, University of Nanguy Abrogoua, Abidjan, Cote d’Ivoire.
  • Google Scholar
Etienne DAKO
  • Etienne DAKO
  • Laboratory of Biotechnology and Molecular Biology, School of Food Science, Nutrition and Family Studies, Faculty of Health Science and Community Services, University of Moncton, Canada.
  • Google Scholar
Adjehi T. DADIE
  • Adjehi T. DADIE
  • UFR of Biological Sciences, Department of Biochemistry-Genetic, University Peleforo Gon Coulibaly, Korhogo, Côte d’Ivoire.
  • Google Scholar


  •  Received: 18 October 2021
  •  Accepted: 04 January 2022
  •  Published: 31 January 2022

 ABSTRACT

Raw vegetables have been linked to many outbreaks of Salmonella foodborne; however there is few data on the presence of this bacteria in raw vegetables in Côte d'Ivoire. The objective of this study is to determine the prevalence, diversity and antibiotic resistance level of Salmonella strains in vegetables salads and ready-to-eat raw mixed vegetable salads in Abidjan. From a total of 552 samples, Salmonella strains were biochemically and molecularly identified by detection of the 16S rRNA gene and serotyping with specific antisera. The antibiotic resistance level was phenotypically determined by disc diffusion method and the presence of the gene encoding for resistance was determined by PCR. The prevalence of Salmonella spp in vegetables salads and ready-to-eat raw mixed vegetable salads was 8.54 and 2.61%, respectively. The serotypes identified were S. typhimurium, S. enteritidis, S. selby, S. hadar, S. typhy, S. paratyphi C and S. adamstown. It was observed that there were non-resistant (tetracycline and streptomycin) and multiresistant (nalidixic acid and ciprofloxacin) strains. Genes, such as tetA, tetB, aaa [3] -IV and QnrA were highlighted at different proportion. Vegetable’s salads and ready-to-eat raw mixed vegetable salads in Abidjan contain various serotypes of Salmonella spp. displaying resistant to antibiotics and harboring the genes encoding for resistance. It is important to make subsequent risk control to evaluate and prevent possible food poisoning.

 

Key words: Salmonella, vegetables salads, Abidjan, prevalence, antibiotic resistance.


 INTRODUCTION

Salmonella is a gram-negative rod-shaped bacterium, part of the Enterobacteriaceae family whose ecological niche is the intestinal tract of animals and humans (CDC, 2015). They are mainly spread in environment from excreta (Delahoy et al., 2018). The genus Salmonella has two distinct species (Salmonella enterica and Salmonella bongori) and includes over 2,500 known serotypes, which are considered potential human pathogens (Bharmoria et al., 2017).

 

Salmonella spp are a common and important cause of infectious disease in humans worldwide (WHO, 2017). Those bacteria include typhoid serotypes (S. Typhi) causing human typhoid fever, para-typhoid (S. paratyphi A) and No Typhoid Salmonella (NTS) serotypes. The NTS have generally a wide range of vertebrate hosts and cause various clinical presentations that usually include diarrhea self-limiting (Bharmoria et al., 2017). Typhoid fever is estimated to be responsible for 26.9 million illnesses and 269,000 deaths per year worldwide whereas NTS cause about 93.8 million illnesses and 155 000 deaths per year (Bharmoria et al., 2017).

 

The widespread distribution of Salmonella in the environment, their increasing prevalence in the global food chain, and their virulence and adaptability cause enormous medical, health and economic impact worldwide. The mortality rate from Salmonella spp infections ranges from 1 to 30% depending on the serotype, region, stage of disease and antibiotic therapy (U.S. DAERS, 2014). Thus, according to statistics on foodborne diseases, Salmonella almost always ranks first for the number of cases of hospital visits, premature death and lost productivity in the US. Each year, Salmonella contributes to 1 million illnesses, 19,000 hospitalizations and 380 deaths in the United States (CDC, 2014). In the European Union, nearly one in three food-borne outbreaks in 2018 was caused by Salmonella with 91,000 cases. European Food Safety Authority (EFSA) has estimated that the overall cost of human salmonellosis could reach up to 3 billion euros per year (EFSA, 2019).

 

Most Salmonella spp infections are caused by consuming contaminated food, usually of animal origin, such as eggs, pork and poultry meat, and dairy products (WHO, 2017). However, a study by the Centers for Disease Control and Prevention (CDC) showed that different types of fresh produce are increasingly involved and can account for 46% of illnesses (Painter et al., 2013). Consistent with this, a recent source attribution study estimated that fruits and vegetables were involved in around 50% of salmonellosis (CDC, 2015).

 

Salmonella spp. was reported as an etiologic agent for a total of 56 outbreaks in several states associated with fresh produce between 2010 and 2017 with a total of 3778 diseases, hospitalization rates experienced by 28.3% and 16 known deaths. Among this fresh produce responsible for outbreaks are tomatoes, onions, lettuce, cucumbers and vegetable salads (Carstens et al., 2019). Outbreaks of food poisoning outbreaks have also been reported worldwide. Factors influencing the increase of Salmonella outbreaks associated with vegetables include changes in agricultural practices and eating habits, as well as increased global trade of fresh produce (Collins, 1997). 

 

In the Ivory Coast, as in the countries of sub-Saharan Africa, salmonella infections are frequent. In this part of Africa, typhoid fever caused by Salmonella Typhi is endemic and is a real public health problem because of the very inadequate hygiene (WHO, 2010). Non-typhoidal Salmonella has also become a major cause of blood infections, causing thousands of deaths each year, especially in young children with a 20-25% untreated death rate. Diagnosis is difficult due to the clinical picture which merges with that of other febrile conditions, and increased resistance to antibiotics is a real problem (WHO, 2010). However, Salmonella spp has been reported in various food matrices (Yao et al., 2017; Koffi et al., 2014; Karou et al., 2013), but little data is available on the role that can be played by vegetables salads and ready to eat raw mixed vegetables in the transmission of Salmonella to populations. Thus, the aim of this study is to make the microbial and molecular characterization of Salmonella strains isolated in vegetables salads and some ready to eat raw mixed vegetables salads sold in Abidjan (Cote d’Ivoire).


 MATERIALS AND METHODS

Sampling of vegetables salads and ready to eat raw mixed vegetable salads

 

A total of 552 samples including 246 vegetable salads and 306 ready to eat raw mixed vegetable salad were taken respectively from the fields, markets and from collective catering in Abidjan. Vegetables including tomato (Solanum lycopersicum), cucumber (Cucumis sativus), lettuce (Lactuca sativa) and onion (Allium cepa) were randomly collected i) on field and ii) from the different lots of same sellers in the markets. The vegetable salads which are prepared directly by the vendors at the points of sale in the traditional way, by cutting and mixing different types of raw vegetables salads (generally onions, tomatoes, cucumbers and/or lettuce) were collected directly from these saleswomen in restaurants. Two samples respectively by fields and restaurant and one sample per vendor in the market were collected. After collecting, all the samples were transported to the laboratory in a cooler with ice pack that maintained low temperature at about 4°C for analysis.

 

Detection, isolation and serotyping of Salmonella 

 

The detection of Salmonella spp was carried out according to standard NF EN ISO 6579: 2002. From each sample of vegetable and vegetable salad previously crushed, 25 g were weighed aseptically and added to 225 ml of Peptone water (Bio-Rad, France) then homogenized. Each suspension was incubated at 37°C for 18 h for the pre-enrichment step. After incubation, 0.1 ml of this suspension was added to 10 ml of RVS broth (Bio-Rad, France); in parallel, a series of two drops was placed in the center of two Petri dishes containing a Rappaport Vassiliadis Semi-solid Medium (MSRV) supplemented with novobiocin at 20 mg/L (Lyofilichen, France). RVS and MSRV broths were incubated at 42°C for 24 h for the first and 24 to 48 h for the second. Both media were then inoculated by streaking on agar Hektoen (Bio-Rad, France) and Salmonella-Shigella agar (Bio-Rad, France) and incubated at 37°C for 24 h. Only the discolored RVS tubes and the discolored MSRV dishes which migrated (therefore exhibiting a growth halo which moved away from the point of deposition) were the subject of inoculation. For MSRV boxes, seeding was done from the end of the growth halo. On Salmonella-Shigella agars, Salmonella shows colorless and transparent colonies (due to lactose fermentation), with or without black center (production of H2S) and on Hektoen, blue to green colonies with or without black center. Five characteristic colonies on each box were subcultured on nutrient agar and incubated at 37°C for 24 h. Serotyping of Salmonella spp. was carried out according to the Kauffman -White scheme, using specific antiserum (Grimont and Weill, 2007).

 

Molecular confirmation of Salmonella strains

 

The genotypic identification of Salmonella strains and the detection of the genetic support for antibiotic resistance were made by polymerase chain reaction (PCR) respectively according to the protocols of Smith et al. (2015) and Shahrani et al. (2014). PCR was performed according to the steps of heat shock DNA extraction, amplification and detection of amplification products. The genotypic identification of Salmonella strains consisted of the detection of the 16S rRNA gene common to all strains of Salmonella spp. The primers used to target genes encoding for the 16S rRNA were those designed by Smith et al. (2015).

 

The amplifications were performed using a thermal cycler (Techne Genius, USA) in a final reaction volume of 25 µl containing different reagents (Sigma Aldrich, St. Louis, USA). This is a solution 10x buffer, MgCl2 (1.5 mM and 2.5 mM), dNTPs (200 µM), of each primer (0.8 µM F-5’TGTTGTGGTTAATAACCGCA-3’ and 0.5 µM R- 5’CACAAATCCATCTCTGGA-3’), Taq DNA polymerase (1.25U and 0.5U) and 1 µl of DNA.

 

Amplification was performed following an initial denaturation at 95°C for 3 min, followed by 30 cycles of 94°C for 45 s, 54.1°C for 45 s and 72°C for 1 min and a final step of 72°C for 5 min, then storage at 4°C.

 

Visualization of amplification products was made by electrophoresis in an agarose gel (Invitrogen, Carlsbad, CA, USA) at 1.5% with 0.5 mg/ml of ethidium bromide (Sigma Aldrich, Canada). Migration was performed at 100 volts for 45 min and the gels were visualized under UV light. The sizes of the amplification products were estimated by comparison with a molecular weight marker (Sigma Aldrich, Saint Louis, USA) used as a standard.

 

Susceptibility to antibiotic

 

The phenotypic antibiotic resistance of isolated Salmonella spp. was determined using the disk diffusion method (Bauer et al., 1966). The interpretation was made according to the recommendations of the Antibiotic Committee of the French Society of Microbiology (CA-SFM) and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) (CA-SFM/EUCAST, 2019).

 

Pure colonies, cultivated the day before at 37°C. on trypticase casein soya agar (BBL, Canada), were used. Thirteen discs (13) impregnated with antibiotics (Bio-Rad, Manes, France) belonging to different families of antibiotics were tested. These are Beta-lactams [ampicillin (25 µg), amoxicillin + acid clavulanic (10 µg), cefuroxime (10 µg), cefotaxime (10 µg), cefepime (30 µg), aztreonam (30 µg)], quinolones [nalidixic acid (30 µg), ciprofloxacin (5 µg)], aminoglycosides [streptomycin (10 µg), gentamicin (15 µg), tetracyclines (tetracycline 30 µg)], phenicol’s [chloramphenicol (30 µg)] and sulfonamides [cotrimoxazole (30 µg)]

 

These antibiotic discs were conventionally arranged on the surface of the agar. Incubation was carried out for 24 h at 37°C. The inhibition diameters around the antibiotic discs were estimated and the interpretation in sensitive (S) or resistant (R) categories was performed according to the reference CASFM/EUCAST (2019) standard. The E. coli ATCC 25922 strain was used for the quality control of the method.

 

Molecular detection of gene encoding for antibiotic resistance

 

For the detection of resistance genes, only strains with phenotypic resistance were taken into account. The resistance genes sought are the genes conferring resistance to ampicillin (CITM), tetracycline (tetA, tetB), chloramphenicol (cat 1, cmlA), quinolones (Qnr) and gentamicin (aaa?3?-IV).

 

The amplifications were performed using a thermal cycler (Techne Genius, USA) in a final reaction volume of 25 µl containing different reagents (Sigma Aldrich, St. Louis, USA). This is a solution 10x buffer (10 mM Tris-HCl, pH 8.3 at 25°C, 50 mM KCl), MgCl2 (1.5 mM and 2.5 mM), deoxyribonucleotides (dNTPs) (200 µM), of each primer (0.8 µM of F and 0.5 µM of R) (Table 1), Taq DNA polymerase (1.25 U and 0.5 U) and extracted DNA (1 µl).

 

 

For the detection of antibiotic resistance genes, the amplification program consisted of an initial denaturation at 95°C for 8 min, followed by 32 cycles of 94°C for 60 s, 55°C for 70 s and 72°C for 2 min and a final step of 72°C for 5 min then storage at 4°C.

 

Visualization of amplification products was made by electrophoresis in an agarose gel (Invitrogen, Carlsbad, CA, USA) at 1.5 and 2% depending on the size of the desired gene, with 0.5 mg/ml of ethidium bromide (Sigma Aldrich, Canada). Migration was performed at 100 volts for 45 min and the gels were visualized under UV light. The sizes of the amplification products were estimated by comparison with a molecular weight marker used as a standard.

 

Statistical analysis

 

Statistical analyzes were performed with the IBM SPSS statistical program for Windows version 20. Descriptive statistics were used to determine the percentages of sensitivities to different antibiotics. Descriptive statistics (frequency, mean) were used for quantitative variables.


 RESULTS

Electrophoretic profile of amplification products of the 16S rRNA gene of Salmonella spp. isolated from samples 

 

All the isolated Salmonella spp during this study, were confirmed to be Salmonella spp by the presence of the 16S rRNA gene. Figure 1 shows the electrophoretic profile of the 16S rRNA gene amplification product of 541 base pairs of Salmonella spp isolated from vegetables salads and ready to eat raw mixed vegetable salads in Abidjan.

 

 

 

Prevalence and frequency of Salmonella serotypes in samples

 

The prevalence of Salmonella spp. is 8.54% in vegetables salads and 2.61% in ready to eat raw mixed vegetable salads. The serotyping of these Salmonella spp., revealed seven (07) serotypes, with variable frequencies. The prevalence of each of these serotypes is summarized in Table 2.

 

 

 

Antibiotic resistance level of Salmonella spp. isolated from vegetables salads and ready to eat raw mixed vegetable salads

 

The investigation of the susceptibility of isolated Salmonella spp. strains shows resistant to at least one antibiotic variable resistance level for vegetables salads isolates (81%) and ready to eat raw mixed vegetable salads’  (62.5%). Resistance  rates  to  at  least  one antibiotic vary from 0 to 100% depending on Salmonella serotypes (Table 3).

 

 

 

The multidrug resistance (resistance to at least three families of antibiotics) concerned respectively 4.8 and 25% of Salmonella spp isolated from vegetables salads and ready to eat raw mixed vegetable salads. In vegetables salads it was a strain of S. typhimurium (simultaneous resistance to ampicillin, streptomycin and tetracycline) and in ready to eat raw mixed vegetable salads a strain also of S. typhimurium (simultaneous resistance to ampicillin, gentamycin, ciprofloxacin and tetracycline) and S. hadar (simultaneous resistance to gentamycin, nalidixic acid and tetracycline).

 

The resistance levels observed in Salmonella serotypes from vegetables salads and ready to eat raw mixed vegetable salads varied from antibiotic to another (Table 4). Resistances by decreasing manner have concerned tetracycline (61.9% for vegetables salads strains and 62.5% for ready to eat raw mixed vegetable salads isolates), streptomycin (57.1% for vegetables salads strains and 37.5% for ready to eat raw mixed vegetable salads isolates), gentamycin (9.5% for vegetables salads strains and 25% for ready to eat raw mixed vegetable salads isolates), acid nalidixic (4.8% for vegetables salads strains and 25% for ready to eat raw mixed vegetable salads isolates), cotrimoxazole (4.8% for vegetables salads strains and 12.5% for ready to eat raw mixed vegetable salads isolates), ampicillin (4.8% for vegetables salads strains and 12.5% for ready to eat raw mixed vegetable salads isolates), and ciprofloxacin (0% for vegetables salads strains and 12.5% for ready to eat raw mixed vegetable salads isolates). No resistance to beta-lactams and chloramphenicol has been observed.

 

 

 

Antibiotic resistance genes of Salmonella

 

The QnrA gene 670 bp (Figure 2), conferring resistance to quinolones, aac [3] -IV of 286pb (Figure 2) conferring resistance to gentamycin and tetA 577 bp and 634 bp of tetB (Figure 3) conferring tetracycline resistance have been identified in Salmonella spp.

 

 

 

The CIMT, cat1 and cmlA gene conferring resistance to ampicillin and chloramphenicol have not been detected. Tables 5 and 6 shows the frequency of antibiotic resistance genes of Salmonella spp in vegetables salads and ready to eat raw mixed vegetables salads.

 

 


 DISCUSSION

This study highlighted the presence of Salmonella spp in vegetables and ready to eat raw mixed vegetable salads in Abidjan. The contamination of vegetables by Salmonella strains is very common in gardening products. This presence could be due to agricultural practices using irrigation water and untreated animal manure (shallow artificial wells) for soil fertilization and watering of crops in Abidjan. Contact of vegetables with these elements could therefore be at the origin of the contamination. Indeed, pathogenic strains have been isolated from manure, irrigation water and crop soils in Abidjan (Wognin, 2014). Studies on environmental sources of Salmonella contamination indicate that water is an important source, especially irrigation water containing manure, wild faces or sewage effluent (Islam et al., 2005) and its quality is a product safety indicator. Also, domestic, wild and farm animals present in and near fields are carriers of Salmonella (Yao et al., 2017; Koffi et al., 2014; Toe, 2013). Thus, Salmonella strains can spread in soil, water, crops or other animals and survive there for several months; the environment can thus become a source of danger. Vegetable’s contamination could also be explained by the precarious conditions of harvest, transport, marketing on the markets and preparation of salads in collection restaurants due to non-compliance with basic food safety and hygiene measures. To this must be added a lack of disinfection of vegetables before preparing ready to eat raw mixed vegetable salads (Toe et al., 2017). Thus, when considering the vegetable food chain, from farm to fork, contamination of vegetables can occur at several stages of this chain and even at the final stage of the preparation of restaurant salads (Matthews, 2013).

 

In accordance with our results, studies carried out around the world have revealed the presence of Salmonella in these food matrices (Yang et al., 2020; Abakari et al., 2018; Maysa and Abd-Elall, 2015; Abakpa et al., 2015; Raufu et al., 2014; Guchi and Ashenafi, 2010). On the other hand, in South Africa (Van Dyk, 2016), in the United States (Pagadala et al., 2015; Bohaychuk et al., 2009), and in Canada (Leang, 2013), an absence of Salmonella has been noted. These authors explained this absence by low exposure to contamination of vegetables. The prevalence of 2.6% of Salmonella spp. in vegetable salad is lower than those obtained by Yang et al. (2020) China (3.4%), Azimirad et al. (2021) in Iran (19.44%), and Abakari et al. (2018) in Ghana (73.3%). In vegetables, the prevalence of 8.4% is close to those obtained in Nigeria (6.3% and 8%) by Abakpa et al. (2015) and Raufu et al. (2014) and lower than those obtained by Guchi and Ashenafi (2010) in Ethiopia (10%). The differences observed in the different studies regarding the prevalence of Salmonella can be attributed to the specificity of each country and the implementation of good hygiene practices and the culture conditions, sales and vegetable preparations are not always the same. According Ogundipe et al. (2012), in developing countries where sales conditions remain precarious, the conception of food security differs considerably from that of industrialized countries. Also, according to these authors, in these countries, traditional methods, the temperature of storage and inadequate personal hygiene of the handlers that promote contamination are still observed during the marketing of fresh products (Ogundipe et al., 2012). The results of the serotyping revealed the presence of seven serotypes which are S. enteritidis, S. typhimurium, S. hadar, S. selby, S. typhi, S. parathyphi C and S. adamstown in vegetables and salads of vegetables. In agreement with our results, S. enteritidis, S. typhimurium, S. hadar and S. typhi were also isolated from vegetables and vegetable salad in other studies. Indeed, they have been identified in Iran (S. typhimurium: 4.44%) per Kochakkhani et al. (2018), in Egypt (S. typhimurium: 3.3%) by Maysa and Abd-Elall (2015), in Nigeria (S. typhi: 7.7%; S. hadar: 4.3%; S. typhimurium: 4.1%; S. paratyphi: 2.0%) by Abakpa et al. (2015) and Raufu et al. (2014), in Mexico (S. enteritidis 2.81%; S. typhi 1.4%) by Quiroz-Santiago et al. (2009). The presence of these serotypes strictly adapted to humans and ubiquitously reflects the fact that vegetables salads can be contaminated by humans as well as by animals through their excreta during the cultivation, handling and preparation of these products. The presence of these animals through their droppings and the use of animal manure, together with human contamination, significantly contribute to the spread of these Salmonella serotypes. Note that S. typhimurium and S. enteritidis were generally detected in the majority. This result is not surprising given their ubiquitous character and their predominance in vegetables and vegetable salads in several other studies (Abakpa et al., 2015; Raufu et al., 2014; Quiroz-Santiago et al., 2009). Also, these two serotypes are most involved in collective food poisoning in the world (Muvhali et al., 2018). This result thus highlights the risk of collective food poisoning incurred by the populations in Abidjan.

 

Resistances to various classes of antibiotics have been observed. These include tetracycline, streptomycin, cotrimoxazole, ampicillin, gentamicin, ciprofloxacin and nalidixic acid. These resistances could be due to use of antibiotics for the treatment of animals whose droppings (usually from chickens) through the litter is used without prior treatment as manure for the fertilization of cultivated soils in Abidjan and also the water used for irrigation. Strains resistant to various classes of antibiotics have already been observed in chicken droppings, manure, irrigation water and crop soil in Abidjan (Wognin, 2014). These resistances can also potentially be resulting from the contaminations of food chain by human. In accordance with our results, more or less significant resistances to these different classes of antibiotics has been observed in vegetables salads and ready to eat raw mixed vegetable salad around the world (Adzitey, 2018; Kemajou et al., 2017). The authors justified the presence of these resistant strains by agricultural practices and the lack of hygiene during the preparation of salads as well as an absence or insufficient decontamination.

 

Resistance was particularly high against tetracycline. The high resistance levels for tetracycline are explained by its extensive use in livestock farms in Abidjan due to its affordable cost, its broad spectrum and the ease of obtaining the product and also because it is in addition the component of several veterinary products sold in the city (Toe, 2013). A study by Toe (2013) showed that tetracycline is the antibiotic most used in chicken farms in Abidjan. It also showed a predominance of resistance to tetracycline in strains isolated from chicken droppings; which droppings through the litter is used as manure for soil fertilization of crops vegetable growers in Abidjan. The absence of chloramphenicol resistance is explained by the fact that it no longer or rarely used in farms in Abidjan because of its ban because of serious risks to human health.

 

The resistant nature of Salmonella isolates to ciprofloxacin was highlighted in ready to eat raw mixed vegetable salads. This presence may be due to the use of ciprofloxacin in both human medicine and veterinary medicine in Abidjan (Ouattara et al., 2013). Resistance to ciprofloxacin may affect the treatment of certain infections, particularly typhoid fever. Indeed, ciprofloxacin is one of the latest alternatives for the treatment of Salmonella causing typhoid fever (Chattaway et al., 2016). In agreement with our results, no resistance to ciprofloxacin was observed in Salmonella isolates in vegetables in Japan (Nawas et al., 2012) and Nigeria (Kemajou et al., 2017). In Nigeria, these authors explain this absence by the controlled use of ciprofloxacin in human medicine as in animal medicine. Indeed, for these authors, the absence of resistance to ciprofloxacin is due to the reduction in its prescription by doctors and its high cost in Nigeria. These factors have been limited to the supply and misuse of ciprofloxacin, reducing the emergence of the resistance in most bacterial isolates to the antibiotic.

 

Resistance to tetracycline, quinolones and gentamicin has been associated with the presence of the tetA and tetB, Qnr and aaa [3] -IV genes, respectively, according to other studies performed in vegetables and raw vegetable salads (Sobur et al., 2019; Shakerian et al., 2016). This result is not surprising as more and more resistance genes to antibiotics are found in strains isolated from vegetables (Yang et al., 2020; Zahras et al., 2019; Shakerian et al., 2016). These genes could be acquired both through exchanges with other enteric bacteria and through the growing environment of vegetables, including manure, soil and irrigation water.

 

In Mexico, the results of a study by Lugo-Melchor et al. (2010) show the presence of the tetA gene among the tetracycline resistant S. typhimurium strains isolated from irrigation water used for culture. Indeed, the tetA and tetB genes are generally found and maintained in soil and water for a long time and diffuse rapidly due to their localization on plasmids, transposons and integrons (Börjesson et al., 2010; Sengeløv et al., 2010; Sengeløv et al., 2003). The presence of resistance carried by genes in vegetables and raw vegetable salads poses a risk to the consumer. Indeed, once ingested, the Salmonella carrying the antibiotic resistance genes can transmit these genes by vertical transfer (is transmitted within the same species) or horizontal (is transmitted from one bacterial species to another) on the bacteria commensal flora or other pathogenic or opportunistic bacteria and in case of infection, the use of these antibiotics will no longer  be  effective for the treatment of the infection (Founou et al., 2016).


 CONCLUSION

This study shows that vegetables salads and ready to eat raw mixed vegetable salad are not clean as regards the presence of Salmonella species. Thus, serotypes including S. enteritidis, S. typhimurium, S. hadar, S. selby, S. adamstown, S. typhi and S. paratyphi C are isolated and resistant to various classes of antibiotics. Such pathogens can be implicated in food poisoning among consumers. Thus, vegetables and vegetable salads consumed in Abidjan could then be vectors of transmission of these Salmonella serotypes and this situation could negatively affect their state of health. In developing countries where food safety remains a problem, it therefore seems more than important to minimize contamination at each level of the vegetable food chain through the application of good cultivation, sales and handling practices of these foods; added to that is an effective decontamination of vegetables with disinfectants before any consumption in raw form.

 

This situation could negatively affect their health. It then seems more than important to minimize contamination at each level through the application of good hygiene, culture, handling measures of these foods and effective decontamination.


 CONFLICT OF INTERESTS

The authors have not declared any conflict of interests.



 REFERENCES

Abakari G, Cobbina SJ, Yeleliere E (2018). Microbiological quality of ready-to-eat vegetables salads vended in the central business district of Tamale, Ghana. International Journal of Food Contamination 5(1):1-9.
Crossref

 

Abakpa GO, Umoh VJ, Ameh JB, Yakubu SE, Kwaga JKP, Kamaruzaman S (2015). Diversity and antimicrobial resistance of Salmonella enterica isolated from fresh produce and environmental samples. Environmental Nanotechnology, Monitoring and Management 3:38-46
Crossref

 

Adzitey F (2018). Antibiotic resistance of Escherichia coli and Salmonella enterica isolated from cabbage and lettuce sample in Tamale metropolis of Ghana. International Journal of Food Contamination 5(1):1-7.
Crossref

 

Bharmoria A, Shukla A, Sharma K (2017). Typhoid fever as a challenge for developing countries and elusive diagnostic approaches available for the enteric fever. International Journal of Vaccine Research 2(2):1-16.
Crossref

 

Azimirad M, Nadalian B, Alavifard H, Negahdar Panirani S, Mahdigholi Vand Bonab S, Azimirad F, Gholami F, Jabbari P, Yadegar A, Busani L, Asadzadeh Aghdaei H, Zali MR (2021). Microbiological survey and occurrence of bacterial foodborne pathogens in raw and ready-to-eat green leafy vegetables marketed in Tehran, Iran. International Journal of Hygiene and Environmental Health 237:113824.
Crossref

 

Bauer AW, Kirby WM, Sherris JC, Turck M (1966). Antibiotic susceptibility testing by a standardized single disk method. American Journal of Clinical Pathology 45:493-496.
Crossref

 

Bohaychuk VM, Bradbury RW, Dimock R, Fehr M, Ensler GE, King RK, Rieve R, Romero PB (2009). A Microbiological survey of selected albert grown fresh produce from farmers markets in Alberta, Canada. Journal of Food Protection 7(2):415-420.
Crossref

 

Börjesson S, Mattsson A, Lindgren P (2010). Genes encoding tetracycline resistance in a full-scale municipal wastewater treatment plant investigated during one year. Journal of Water and Health 8:247-256.
Crossref

 

Carstens CK, Salazar JK, Darkoh C (2019). Multistate Outbreaks of foodborne illness in the United States associated with fresh Produce From 2010 to 2017. Frontiers in Microbiology 10:2667.
Crossref

 

CASFM / EUCAST (Comité d'Antibiotique de la Société Française de Microbiologie/ European Committee on Antimicrobial Susceptibility Testing) (2019) Société Française de Microbiologie Ed

 

2019. [Accessed on: 20 November 2020]. Available at:

View

 

Centers for Disease Control and Prevention CDC (2014). Pathogens causing US foodborne illness, hospitalizations, and death, 2000-2008. Downloaded from

View

 

Centers for Disease Control and Prevention CDC (2015). Foodborne illness source attribution estimates for Salmonella, Escherichia coli O157 (E. coli O157), Listeria monocytogenes (Lm) and Campylobacter using outbreak surveillance data. Report from the Interagency Food Safety Analytics Collaboration (IFSAC) project.(Accessed September 2015) Available at:

View

 

Chattaway MA, Aboderin AO, Fashae K, Okoro CK, Opintan JA, Okeke IN (2016). Fluoroquinolone-resistant enteric bacteria in Sub-Saharan Africa: Clones, implications and research beeds. Frontier in Microbiology 7:558.
Crossref

 

Collins JE (1997). Impact of changing consumer life styles on the emergence/reemergence of food borne pathogens. Journal of Emerging Infectious Diseases 3(4):471-479.
Crossref

 

Delahoy MJ, Wodnik B, McAliley L, Penakalapati G, Swarthout J, Freeman MC, Levy K (2018). Pathogens transmitted in animal feces in low- and middle-income countries. International Journal of Hygiene and Environmental Health 221(4):661-676.
Crossref

 

European Food Safety Authority EFSA (2019). Salmonella, la cause la plus fréquente d'épidémies d'origine alimentaire dans l'Union européenne.

View

 

Founou LL, Founou RC, Essac K (2016). Antibiotic resistance in the food chain: A developing country perspective. Frontier in Microbiology 7:1881.
Crossref

 

Grimont PA, Weill FX (2007). Antigenic formulae the serovars, WHO Collaborating Centre for Reference and Research on Salmonella. Paris, France. Available on:

View

 

Guchi B, Ashenafi M (2010). Microbial load, prevalence and antibiograms of Salmonella and Shigella in lettuce and green peppers. Ethiopian Journal of Health Sciences 20(1):41-48.
Crossref

 

Islam M, Doyle P, Phatak SC, Millner P, Jiang X (2005). Survival of E. coli O157:H7 in soil and on carrots and onions grown in fields treated with contaminated manure composts or irrigation water. Food Microbiology 22:63-70.
Crossref

 

Karou GT, Ouattara H, Bakayoko S (2013). Prevalence of Salmonella and distribution of serovars isolated from retail raw chicken gizzards in Abidjan, Côte d'Ivoire. Octa Journal of Biosciences 1(2):115-121.

 

Kemajou TS, Awemu GA, Digban KA, Oshoman CE, Ekundayo OI, Ajugwo AO (2017). Microbiological studies of vegetable leaves sold in elele market, rivers-state, Niger. Journal of Transmitted Diseases and Immunity 1(1):1-5.

 

Kochakkhani H, Dehghan P, Moosavy MH (2018). Molecular detection of Salmonella enterica serovar Typhimuriumin in ready-toeat vegetable salads consumed in restaurants of Tabriz, North-West of Iran. Journal of Food Quality and Hazards Control 5:140-145.
Crossref

 

Koffi AR, Dadie A, Ouassa T, Karou T, Dje KM, Menan EJH (2014). Serotypes and antibiotic resistance of Salmonella spp. isolated from poultry carcass and raw gizzard sold in markets and catering in Abidjan, Côte d'Ivoire. International Journal Current Microbiology Applied Science 3(6):764-772.

 

Leang A (2013). Prevalence of Salmonella and E. coli on produce from Seattle farmer market. (Thesis for Master sciences), University of Washington. 65p.

 

Lugo-Melchor Y, Quiñones B, Amézquita-Lopez BA, Léon-Félix J, Garcia-Estrada R, Chaidez C (2010). Characterization of tetracycline resistance in Salmonella enterica strains recovered from irrigation water in the Culiacan Valley, Mexico. Microbial Drug Resistance 16(3):185-190.
Crossref

 

Mammeri H, Van De Loo M, Poirel L, Martinez-Martinez L, Nordmann P (2005). Emergence of plasmid-mediated quinolone resistance in Escherichia coli in Europe. Antimicrobial Agents Chemotherapy 49(1):71-76.
Crossref

 

Matthews KR (2013). Sources of enteric pathogen contamination of fruits and vegetables: future directions of research. Stewart Postharvest Review 9:1-5.
Crossref

 

Maysa AIA, Abd-ElalL AMM (2015). Diversity and virulence associated genes of Salmonella enteric serovars isolated from wastewater agricultural drains, leafy green producing farms, cattle and human along their courses. Revue Médecine Vétérinaire 166(3-4):96-106.

 

Muvhali M, Smith AM, Rakgantso AM, Keddy KH (2018). Investigation of Salmonella Enteritidis outbreaks in South Africa using multi-locus variable-number tandem-repeats analysis. BMC Infectious Diseases 17: 661.
Crossref

 

Nawas T, Mazumdar RM, Das S, Nipa MN, Islam S, Bhuiyan HR, Ahmad I (2012). Microbiological quality and antibiogram of E. coli, Salmonella and Vibrio of salad and water from restaurants of Chittagong. Journal of Environmental Science and Natural Resources 5(1):159-166.
Crossref

 

Ogundipe FO, Bamidele FA, ADebayo-Oyetoro AO, Ogundipe OO, Tajudeen OK (2012). Incidence of bacteria with potential public health implications in raw lycopersicon esculentum (tomato) sold in Lagos State, Nigeria. Nigerian. Food Journal 30(2):106-113.
Crossref

 

Ouattara ND, Guessennd N, Gbonon V, Toe E, Dadié T, Tiécoura B (2013). Consommation des antibiotiques dans la filière aviaire à Abidjan?: Cas de quelques fermes semi-industrielles. European Journal of Scientific Research 94(1):80-85.

 

Pagadala S, Marine SC, Micallef SA, Wang F, Pahl DM, Melendez MV, Kline WL, Oni RA, Walsh CS, Everts KL, Buchanan RI (2015). Assessment of region, farming system, irrigation source and sampling time as food safety risk factors for tomatoes. International Journal of Food Microbiology 196:98-108.
Crossref

 

Painter JA, Hoekstra RM, Ayers T, Tauxe RV, Braden CR, Angulo F, Griffin PM (2013). Attribution of foodborne illnesses, hospitalizations, and deaths to food commodities by using outbreak data, United States, 1998-2008. Emerging Infectious Diseases 19:407-415.
Crossref

 

Quiroz-Santiago C, Rodas-Suarez OR, Vazquez QCR, Fernandez FJ, Quinones-Ramirez EI, Vazquez-Salinas C (2009). Prevalence of Salmonella in Vegetables from Mexico. Journal of Food Protection 72(6):1279-1282.
Crossref

 

Randall LP, Cooles SW, Osborn MK, Piddock LJ, Woodward MJ (2004). Antibiotic resistance genes, integrons and multiple antibiotic resistance in thirty-five serotypes of Salmonella enterica isolated from humans and animals in the UK. Journal of Antimicrobial Chemotherapy 53(2):208-216.
Crossref

 

Raufu IA, Zongur L, Lawan FA, Bello HS, Adamu MS (2014). Prevalence and antimicrobial profiles of Salmonella serovars from vegetables in Maiduguri, North eastern Nigeria. Journal of Veterinary Sciences 12(1):23-28.
Crossref

 

Sengeløv G, Agresø Y, Halling-Sørensen B, Baloda SB, Andersen J, Jensen LB (2003). Bacterial antibiotic resistance levels in Danish farmland as a result of treatment with pig manure slurry. Environment International 2:587-595.
Crossref

 

Shahrani M, Dehkordi F, Momtaz H (2014). Characterization of Escherichia coli virulence genes, pathotypes and antibiotic resistance properties in diarrheic calves in Iran. Biological Research 47(1):28.
Crossref

 

Shakerian A, Rahimi E, Emad P (2016). Vegetables and restaurant salads as a reservoir for shigatoxinogenic Escherichia coli: Distribution of virulence factors, O-serogroups and antibiotics properties. Journal of Food Protection 79(7):1154-1160.
Crossref

 

Smith SI, Fowora MA, Atiba A, Anejo-Okopi J, Fingesi T, Adamu ME, Omonigbehin EA, Ugo-Ijeh MI, Bamidede M, Odeigah P (2015). Molecular detection of some virulence genes in Salmonella spp. isolated from food ample in Lagos, Nigeria. Animal and Veterinary Sciences 3:22-27.
Crossref

 

Sobur MA, Sabuj AAM, Sarker R, Rahman AMMT, Kabir SML, Rahman MT (2019). Antibiotic-resistant Escherichia coli and Salmonella spp. associated with dairy cattle and farm environment having public health significance. Veterinary World 12(7):984-993.
Crossref

 

Toe E (2013). Analyse des pratiques de l'antibiothérapie dans des fermes avicoles et antibio résistance de Escherichia coli isolées de fientes de poulets à Abidjan, Côte d'Ivoire. (Mémoire Master de Microbiologie et Biologie Moléculaire), Université Nangui Abrogoua, Abidjan, Côte d'Ivoire. 63p.

 

Toe E, Dadié A, Dako E, Loukou G (2017). Bacteriological quality and risk factors for contamination of raw mixed vegetable salads served in collective catering in Abidjan (Ivory Coast). Advances in Microbiology 7:405-419.
Crossref

 

U.S. Department of Agriculture, Economic Research Service (U.S. DAERS, 2014). Cost estimates of foodborne illnesses. (Accessed September 2015) Available at:

View     

 

Van Dyk N (2016). Evaluation of the microbial safety of commercially produced tomatoes in South Africa and the development of a novel enrichment broth for the identification of Escherichia coli O157:?H7 (PHD theses), University of Pretoria, Afrique du Sud.

 

Van TT, Chin J, Chapman T, Tran LT, Coloe PJ (2008). Safety of raw meat and shellfish in Vietnam: an analysis of Escherichia coli isolations for antibiotic resistance and virulence genes. International Journal of Food Microbiology 124(3):217-223.
Crossref

 

World Health Organization ‎WHO (2010)‎. Maladies transmissibles profil épidémiologique: Co?te d'Ivoire. Organisation mondiale de la Sante?.

View

 

World Health Organization WHO (2017). The burden of foodborne diseases in the WHO European region. WHO Regional Office for Europe.

View

 

Wognin S (2014). Facteurs de risques de contamination et gènes de virulences associés à Escherichia coli dans l'environnement maraîcher: cas de la laitue (Lactuca sativa) en zone péri-urbaine d'Abidjan. (Thèse de doctorat de microbiologie et biologie moléculaire) Université Nangui Abrogoua, Abidjan, Côte d'Ivoire. 183p.

 

Yang X, Wu Q, Huang J, Wu S, Zhang J, Chen L, Wei X, Ye Y, Yu Li, Wang J, Lei T, Xue L, Pang R, Zhang Y (2020). Prévalence et caractérisation de Salmonella isolée à partir de légumes crus en Chine. Food Control 109:106915.
Crossref

 

Yao KR, Coulibaly KJ, Cissé S, Tiécoura KB, Goualié GB, Gueu KR, Yapi HF, Djaman AJ (2017). Prevalence of Salmonella strains in Cattle Breeding in the District of Abidjan (Côte d'Ivoire). International Journal of Current Microbiology and Applied Science 6(3):1154-1162.
Crossref

 

Zahras SAK, Nejib G, Abdullahm AS, Ismail MAB (2019). Résistance aux antibiotiques des Entérobactéries isolées des fruits et légumes frais et caractérisation de leur β-lactamases AmpC. Journal of Food Protection 82(11):1857-1863.

 




          */?>