Original article


Prevalence and antibiotic susceptibility profiles

of Listeria monocytogenes contamination of chicken flocks and meat in Oyo State, south-western Nigeria: Public health implications

O.O. ISHOLA, J.I. MOSUGU, H.K. ADESOKAN

Department of Veterinary Public Health and Preventive Medicine, University of Ibadan, Nigeria


Keywords

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Listeria monocytogenes • Meat contamination • Public health


Summary

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Introduction. Food contamination with Listeria monocytogenes is on the increase posing threats to public health with growing trends in food products recalls due to suspected Listeria contami- nation.

Methods. We conducted a cross-sectional study to determine the prevalence and antibiotic susceptibility profiles of Listeria mono- cytogenes (Lm) among 71 randomly selected poultry farms in Oyo State, Nigeria. A total of 450 samples comprising cloacal swabs

(426) and randomly selected dressed chicken meat (24) were cul- tured for Lm isolation using BrillianceTM Selective Listeria Agar with antibiotics and microbial load count with Nutrient Agar. Fur- ther identification was done using microscopic, biochemical char- acterization and antibiotic sensitivity tests. Data were analysed using bivariate analysis and student t-test.

Results. An overall prevalence of 91.8% Lm contamination was obtained comprising 91.5% (390/426) in cloacal swabs and 95.8% (23/24) in meat. The prevalence of Lm in cloacal samples was significantly associated with poultry type (p = 0.008) and breed (p = 0.000. In addition, all the flocks had at least one posi- tive sample yielding 100% flock prevalence. Antibiotic sensitivity test revealed that most of the isolates were resistant to common antibiotics like Ampicillin-cloxacillin and cefuroxime.

Conclusions. The results revealed a high level of contamination with Lm in the poultry flock and meat and the observed resistance to most common antibiotics has implications for future disease control as well as public health. There is need to step up routine screening of food animal products for Listeria contamination as well as measures towards reducing such contaminations.



Introduction


Listeria monocytogenes (Lm) is a facultative anaero- bic bacterium which can grow and reproduce inside the host’s cells, making it one of the most virulent food-borne pathogens. It belongs to the genus Listeria. Listeria spp. is widely distributed in environment. The genus consists of six species i.e., Listeria monocytogenes, L. ivanovii, L. seeligeri, L. innocua, L. welshimeri and L. grayi, of which only L. monocytogenes is the primary human pathogen al- though there have been rare reports of illnesses caused by

L. seeligeri and L. ivanovii [1-3]. Listeria monocytogenes, commonly referred to as Listeria, is a pathogen that caus- es listeriosis, a severe human illness [4, 5]. It is unlike most other food-borne pathogens because it can grow and multiply at proper refrigeration temperatures [6].

In addition, Listeria is widely distributed in nature [7], and has been recovered from farm fields, vegetables, animals and other environments such as surfaces of food processing facilities, retail stores and home kitchens and ready-to-eat foods [8-10]. Listeria monocytogenes rep- resents a constant challenge for the food industry, health regulatory officials and consumers [11] since it remains one of the most virulent foodborne pathogens for immu-


nodeficient individuals, It has been extensively studied over the past few decades due to its high case/fatality rate (20-30%), its high burden of healthcare costs during chronic episodes of infection and its ability to survive for longer periods under adverse environmental condi- tions than many other non-spore-forming bacteria [12]. In man, outbreaks usually occur following consumption of unpasteurized milk, contaminated cheeses and other dairy products. Reports of outbreaks have also followed ingestion of undercooked meat, poultry [13] as well as coleslaw where it was first recognized as a food-borne zoonosis [14]. It is frequently present in the gut of cattle, poultry and pigs and can be transmitted to ready-to-eat (RTE) foods as well as raw meat products [7]. Listeria species are isolated from a diversity of environmental sources, including decaying vegetation, soil, water, ef- fluents, a large variety of foods, and the faeces of hu- mans and animals [15]. Most reported isolations of this species were from abortions, stillbirths, and neonatal septicemias in sheep and cattle [16, 17].

Listeria monocytogenes is a major contaminant of RTE food and food products. Packaged raw foods can repre- sent a potential source of contamination when opened at home, and listeriosis is associated with the consumption

of such undercooked raw foods [5]. Human to human transmission is rare, except in cases of pregnancy where infected mothers transmit the infection via the placenta to the unborn child. This results in abortion, still birth or death of newly-born infant [18]. Transmission in domes- tic animals can occur by ingestion of contaminated feed and poor quality silage with pH greater than 5.5, hence the name “silage disease” [19]. Outbreaks usually occur as septicaemia, meningoencephalitis (circling disease), and abortion.

There has been a dearth of information on the epidemi- ology of listeriosis in most African countries, including Nigeria [20] with only few reports, when compared to Europe and USA [21]. This is because the organism seems not to have been given attention as required. While antibiotic resistance has been reported severally in literature with clinical isolates from human beings, recent evidences however, show that antibiotic resist- ance traits have entered the microflora of farm animals and the food produced from them [22]. Thus, the food microflora is not separated from its human counterpart in cases of antibiotic resistance. The occurrence of an- tibiotic resistance complicates therapy and lengthens convalescence from illness [23]. This trend has been worsened by prophylactic use of common broad spec- trum antibiotics, indiscriminate usage in humans and in animal feed as growth promoters, particularly in devel- oping nations [23, 24]. Despite these and the increase in the consumption of poultry products coupled with enor- mous untrained hands in the poultry industry in Nigeria and the associated public health implications, there is paucity of information on the prevalence and antibiotic susceptibility profiles of L. monocytogenes among com- mercial chickens as well as raw processed chicken meat; hence, this study.


Methods


Study site, design, population and sampling

The study was carried out in 13 Local Government Areas (LGAs) known for the presence of high number poultry industries through a pilot survey across three Senato- rial Districts of Oyo State, south-western Nigeria. The state was chosen as it possesses the majority of poultry industries in the region aside the backyard small scale poultry farming being practised by many. In addition, consumption of chicken and other poultry products is increasingly high in the state. This cross-sectional study involved a total of 71farms randomly selected from 100 available farms with different poultry types (lay- ers, broilers), breeds, management (deep litter, battery cage) and biosecurity levels (high, average, low) located in the 13 LGAs of the state. The purpose of the study as well as the potential benefits was explained to the farm owners and they were told that participation was volun- tary. It was also emphasized that declining participation did not have any attached penalty and that participation would not have any negative effects on their farms. The total number of poultry farms sampled was based on

random selection of three of every four poultry farms through a transect walk guided by an initial pilot survey conducted. However, four of the selected farms declined participation. At each of the participating farms, cloacal swabs were collected using sterile swabs to scoop about one gram from each randomly selected chicken. 1ml of peptone water was then dispensed into each of the swab containers to moisten the samples in order to prevent the samples from drying up. Meat samples were also collected from points of retail into sterile sample bags. These were then placed in coolers containing ice packs for transportation to the Meat Hygiene Laboratory of the Department of Veterinary Public Health and Preventive Medicine, University of Ibadan, Nigeria for processing.


Microbiological analysis for listeria monocytogenes

isolation was done using a slight modification of the methods described by Gibbons et al. [25] and Indrawat- tana et al. [26]. Peptone water was prepared by dissolv- ing 15g of the powder in 1000mls distilled water and autoclaved at 121°C for 15min. Nutrient Agar was pre- pared by dissolving 28g of the powder in 1000mls of distilled water and autoclaved at 121°C for 15min. Lis- teria Selective Agar (LSA) (BrillianceTM) was prepared by dissolving 33.6g of the powder base in 1000ml of distilled water, autoclaved for 15min at 121°C, cooled to 40°C and LSA antibiotics supplements was added. One gram of each sample was homogenized and transferred into a test tube containing sterile and freshly prepared peptone water. This was incubated at 37oC for 18 hours to 24 hours to revive viable but non-culturable cells. Thereafter, 100ul (0.1ml) each of the peptone water culture was transferred to a freshly prepared LSA and spread plated. Incubation was done at 37°C for 36-48 hours. Following incubation, discrete bacterial colonies were then counted from the incubated LSA for Listeria monocytogenes using the colony counter. Counts were transformed to colony forming unit (CFU) [27, 28]. Lis- teria monocytogenes (Lm) colonies appeared as green colonies with opaque white halos. Discrete Lm colonies from the LSA plates were then streaked onto freshly pre- pared LSA plates to obtain pure listeria isolates and the streaked plates were incubated at 37°C for 36-48 hours. Pure Listeria monocytogenes isolates were gram stained, then subjected to various morphological and biochemi- cal tests which included catalase, oxidase and sugar fer- mentation using Glucose, Mannitol, Sucrose, Maltose, Fructose and Lactose. Phenolphtalein was used as indi- cator.


Assessment of the microbial load on samples screened

Serial dilution of each sample was also done up to the 6-fold dilutions, using freshly-prepared peptone water. 100ul (0.1ml) each of the 4th and 6th dilutions were then spread plated on nutrient agar plates and incubated at 37°C for 18-24 hours for counting. Following incuba- tion, discrete bacterial colonies were then counted from the incubated nutrient agar plates using the colony coun-


ter. Counts were transformed to colony forming unit (CFU) and Log CFU.


Antibiotic susceptibility testing

This was performed using the Kirby-Bauer method (Disc diffusion Technique) [29]. The sensitivity discs were specifically designed and contained appropri- ate concentrations of different Gram positive antibiot- ics which include: ciprofoxacin (10μg/disc), norflaxa- cin (10μg/disc), gentamycin (10μg/disc), streptomycin (30μg/disc). Pure isolates were closely streaked onto the surface of Nutrient agar plates. The plates were then in- cubated at 37°C for 18-24 hours. Following incubation, they were observed for zones of inhibition surrounding each disc.


Data analysis

Data were analyzed using SPSS version 15. Chi-square test was used to test for association between the vari- ables and prevalence of Listeria monocytogenes. Mean differences were analyzed using student’s t-test (paired). Colonies counted were converted to colony forming units (CFU/ml). This was then transformed to base 10 Logarithms (CFU/ml). Mean standard deviation of CFU and Log10 CFU were calculated per sample type. Bac- teria counts at the two different dilutions were compared among the sample types using paired t-test. The preva- lence of Listeria monocytogenes contamination was calculated by dividing number of contaminated samples with the total number of samples collected. The epide- miological unit was the flock. A flock was considered contaminated by Listeria monocytogenes if at least one sample taken from the poultry house tested positive. The outcome variable “Listeria monocytogenes status” was dichotomous (contaminated (positive) versus non-con- taminated (negative) flock). Prevalence was calculated based on the 100cfu/unit limit set by the European Com-

mission Regulation (EC) No.2073/2005 on microbio-logical criteria for foodstuffs [30].


Results


Prevalence of listeria monocytogenes

Of the 450 samples screened in this study, an overall prevalence of Lm contamination was found to be 91.8% comprising 95.8% (23/24) in meat and 91.5% (390/426) in cloacal swabs. All the flocks sampled had at least one positive sample yielding a flock prevalence of 100.0%. Cloacal samples from broilers had significantly higher prevalence (98.8%) than 89.8% from the layers (Tab. I). Listeria monocytogenes prevalence was highest among the Leghorn White (98.5%) and least among the Isa Brown breed (85.6%). Samples from poultry raised on deep litter (92.6%) and those from farms with low bi-osecurity level (93.2%) also recorded higher Lm preva-lence. Overall, poultry type (X2= 7.13; p =0.008); breed (X2 = 15.25; p = 0.000), but not management (X2 = 1.09; p = 0.297) as well as biosecurity level (X2 = 0.173; p = 0.917) were significantly associated with the prevalence of Lm among the cloacal samples obtained (Tab. I).


Total bacteria count and antibiotic sensitivity test

Table II shows the comparison of bacteria counts (log CFU/ml) obtained at two different dilutions based on sample types. Mean bacteria counts obtained at 10-6 di- lution were significantly higher (p = 0.0001) than those obtained at 10-4 dilution when compared across the sam- ple type. The variations in mean logCFU/ml differences were significant across sample types (p = 0.0001).

A 100% resistance to both ampicillin-cloxacillin (30 ug) and cefuroxime (20 ug) antibiotics was demonstrated by the Lm isolates tested while the highest sensitivity


Tab. I. Occurrence of Listeria monocytogenes contamination based on poultry types, breed, management and biosecurity levels.


Variables

Category

Positive (%)

Negative (%)

Total

X2; P value

poultry type

Broilers

83 (98.8)

1 (1.2)

84

7.13; 0.008

Layers

307 (89.8)

35 (10.2)

342

Breed

Isa Brown

154 (85.6)

26 (14.4)

180

Nera Black

137 (95.1)

7 (4.9)

144

15.25; 0.000

Leghorn White

65 (98.5)

1 (1.5)

66

Others*

34 (94.4)

2 (5.6)

36

management

deep litter

261 (92.6)

21 (7.4)

282

1.09; 0.297

Battery cage

129 (89.6)

15 (10.4)

144

Biosecurity level

high

287 (91.4)

27 (8.6)

314

Average

62 (91.2)

6 (8.8)

68

0.173; 0.917

Low

41 (93.2)

3 (6.8)

44

*harco Black, Anak White, Cobb USA


Tab. II. Total bacterial counts among the different samples taken (log CFU/ml).



Sample

1st Dilution(10-4)

2nd Dilution(10-6)

Paired t-test

min

max

mean±Sd

min

max

mean ±Sd

t

df

p-value

Cloaca

5.00

7.16

6.69± 0.25

7.00

9.00

8.43 ± 0.31

179.70

425

0.0001

meat

6.41

7.15

6.71± 0.19

7.85

8.78

8.43 ± 0.25

44.67

23

0.0001

Tab. III. Antibiotic susceptibility of the Listeria monocytogenes isolates.


Antibiotics

Number of isolates tested

Amount sensitive

% sensitivity

Amocillin clavulanate(30ug)

72

62

86.1

Ciprofloxacin(10ug)

80

35

43.8

Cloxacillin(5ug)

72

26

36.1

Ceftriaxone(25ug)

80

26

32.5

Gentamicin sulphate(10ug)

72

20

27.8

Streptomycin sulphate (30ug)

80

20

25.0

Pefloxacin(10ug)

80

14

17.5

Erythromycin(5ug)

72

12

16.7

Co-trimoxazole(30ug)

88

11

12.5

Erythromycin(10ug)

72

9

12.5

Amoxacillin(30ug)

80

5

6.3

Ampicillin-cloxacillin(30ug)

80

0

0

Cefuroxime(20ug)

80

0

0


(86.1%) was obtained with amocillin clavulanate (30ug) (Tab. III).


Discussion


The overall high prevalence of 91.8% obtained in this study shows that Listeria monocytogenes is a common and constant contaminant of chicken flocks and chicken meat in the study area. This is similar to the findings of Gaffa & Ayo [31] and Chukwu et al. [32] in ready-to- eat (RTE) dairy products; and Nwachukwu et al., [33] in Kunu. Our findings further corroborate previous reports that Listeria monocytogenes is an important food-borne pathogen and is widely distributed in food, environmen- tal and clinical samples [2, 34, 35]. As observed from our findings, the meat samples had higher incidence of

L. monocytogenes (95.8%) when compared to cloacal samples (91.5%). These higher counts in meat could have resulted from the unhygienic handling practices of meat handlers and processors. As reported, contami- nation usually arises from unwholesome contacts of meat with excretions from skin, mouth and nose of the meat processors [36, 37]. It also suggests likely cross- contamination of raw processed chicken by improperly cleaned and disinfected processing environment and to a lesser degree from the live chicken. This finding concurs with similar findings by Cox et al. [38] and Kanarat et al. [39] which put processing as a major hazard of cross- contamination. The very high prevalence in raw pro- cessed chicken meat samples in this study is similar to the report by Gibbons et al. [25] which indicated 90.9% prevalence in raw meat. These findings coupled with poor food handling practices in the study area therefore portends serious health hazards to the public considering possible contamination with other raw food items during food preparation.

Comparatively, most Listeria cases are reported in high- income countries, while cases are much more likely to go unreported in developing countries. Most cases of listeriosis are sporadic and have been reported in high-

income countries, where incidence is quite low but fatal- ity rate is high [40]. Recently, Effimia [41] reported a 14.4% prevalence of L. monocytogenes in ready-to-eat food products in Greece while Wu et al. [42] observed a 20% prevalence in retail foods in China. Important out- breaks have also occurred-for example, an outbreak of listeriosis from cantaloupes in Colorado, USA, in 2011 resulted in infection of 147 people and 33 deaths, mak- ing it the deadliest recorded US foodborne outbreak since the US Centers for Disease Control and Prevention (CDC) began tracking outbreaks in the 1970s [43-44]. Listeriosis often results in admission to intensive-care units, which makes L. monocytogenes the third most costly foodborne pathogen in the USA per case in 2010, after Clostridium botulinum and Vibrio vulnificus [45]. Ivanek and colleagues [46] estimated that the annual cost of L. monocytogenes in the USA was US$2·3 bil- lion to 22 billion, and the annual benefit of listeria food safety measures was $0·01 billion to 2·4 billion.

Our findings also observed a higher Lm prevalence among poultry flocks on deep litter than those in battery cage system. A previous report indicated that Lm can survive and multiply in wet litter [47] and thus serves as a source of contamination to the poultry flock. This may also explain the higher Lm prevalence recorded among broilers than layers in this study since broilers were in most cases raised on deep litter system. Litter should therefore be regularly changed and be protected from moisture. Also, it should always be stored in an enclosed location in order to protect it from pests such as wild bird so as to avoid contamination by wild life.

Similarly, the results of this study also suggest a signifi- cant association between the breeds of poultry flocks and Lm prevalence, with the Isa Brown breed showing the least prevalence. This could be as a result of possible varying resistance associated with different breed types. A further research into the genetic variations of breeds of poultry with reference to resistance/susceptibility to disease organism is required. On the other hand, while there was no statistically significant association between Lm prevalence and biosecurity levels of the different


farms, Lm prevalence was highest in farms with low bi- osecurity level. Previous studies have also showed that farms with low biosecurity level have increased risk of Lm contamination [47, 48].

In addition, most of the Listeria monocytogenes isolates obtained in this study showed profound resistance to the majority of the common antibiotics with 100% re- sistance to ampicillin cloxacillin and cefuroxime. This observation suggests a gross antibiotic abuse among poultry farmers in the study area. A similar report was previously made by Adetunji and Ishola [49] and Nwa- chukwu et al. [33] who revealed a profound resistance to Ampicillin , which is the drug of choice for treating lis- teriosis. It was, however in contrast to the report by Da- vid and Odeyemi [50] who found that broad-spectrum drugs like chloramphenicol and fluoroquinolones were significantly effective against this organism. Again, the susceptibility of most of the Listeria monocytogenes to gentamicin sulphate in this study is similar to previous reports [51, 52] which indicated susceptibility of all the

L. monocytogenes obtained to this antimicrobial agent. The susceptibility of most of the L. monocytogenes in this study and previous studies to gentamicin sulphate plausibly suggests that this antimicrobial remains an al- ternative regimen against the organism. Given the mul- tiple resistance shown by the L. monocytogenes to anti- microbial agents, the implication could be that the cost of treatment will be very high when humans are infected with these zoonotic pathogens; assertions which are in agreement with other reports [52, 53].

Similarly, the high incidence of Listeria monocytogenes in cloacal samples (64.8%) may be attributed to the con- stant ingestion of listeria-contaminated feed and water. This is similar to findings by Schlech et al. [14] and Gra- vani [34] which stated that listeria are mainly found in soil, silage and water. Though, the gut of birds is a usual habitat for Listeria monocytogenes [54]; Skovgaard [55] and Larpent [56] reported a common occurrence of Lise- ria monocytogenes in animal feaces.

Despite the high prevalence of Listeria monocytogenes in this study, most of the chickens showed no sign of infection. This further reiterates the claim by Cox et al. [38], that chickens are faecal carriers of the organ- ism and may contaminate the litter and environment of the poultry house. Also, there seemed to be no signifi- cant increase in Lm counts with total microbial load, as samples with highest Lm counts did not necessarily have the highest microbial load, and vice-versa. This could be explained by the fact that Lm is very hardy and persists in the environment, resisting most cleaning and disin- fectant techniques, unlike many other bacteria which are eliminated by cleaning and disinfecting [49, 57].


Conclusions


This study showed a high overall incidence (91.8%) of Listeria monocytogenes in poultry flocks and poultry meat in Oyo state, Nigeria. The higher incidence in meat suggests post-slaughter contamination and portends

health hazards to the public through contact between these raw meat and other processed foods. It also shows that poultry flock types and breeds were significant fac- tors associated with Lm contamination. In addition, the resistance of Listeria monocytogenes isolates to most of the antibiotics in this study is a matter of concern both to the future management of poultry diseases as well as public health. We therefore recommend that farm –to- fork principles of hygiene should be stepped up partic- ularly among poultry and other food handlers in order to limit contamination with food pathogens. Standard Operating Procedures (SOP) and Hazard analysis and critical control points (HACCP) should be developed and implemented by poultry regulatory agencies such as Poultry Association of Nigeria (PAN) and Poultry Farmers of Nigeria (PFN). Government should enforce prompt registration and periodic monitoring of all poul- try farms and abattoirs in order to institute measures to check the sanitary levels of farms and abattoirs and en- force strict adherence to hygiene standards on a contin- ual basis. Farmers should be enlightened on appropriate antibiotic usage and withdrawal period.


Acknowledgements


We appreciate the technical support provided by the technologists of the Department of Veterinary Public Health and Preventive Medicine, University of Ibadan, Ibadan, Nigeria. The authors declare no conflict of inter- est.


Authors’ contributions


OOI developed the concept of the study and wrote the manuscript; JIM did the sample collection and analysis and was involved in the writing of the manuscript; HKA did the statistical analysis of the data and was involved in the writing of the manuscript.


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n Received on June 9, 2016. Accepted on July 22, 2016.


n Correspondence: O.O. Ishola, PMB 001, Department of Veteri- nary Public Health and Preventive Medicine, University of Ibadan, Nigeria - Tel. +23 48036976193 - E-mail: olayinkaishola@yahoo. com