Abstract
Listeria monocytogenes, as a foodborne pathogenic bacterium, is considered as major causative agent responsible for serious diseases in both humans and animals. Milk and dairy products are among the main sources of energy supply in the human, therefore contamination of these products with Listeria spp., especially L. monocytogenes, could lead to life threatening infections in a large population of people. Rapid and accurate detection of L. monocytogenes in milk and dairy products, vegetables, meat, poultry, and seafood products is needed to prevent its dissemination through the food chain. Upon contamination of food materials with this pathogen, increase in its antibiotic resistance rate can occur after exposure to preservatives, antibiotics, and stress conditions, which has now become another major public health concern emphasizing the need for special attention on its control along the food chain and management of the disease in the patients. This review provides an overview of researches with respect to the prevalence of Listeria spp., especially L. monocytogenes, in milk and dairy products, methods of their detection and typing, and current status of resistance rates to the antibiotics used for treatment of listeriosis.
Key Words: Antibiotic resistance, Foodborne diseases, Laboratory diagnosis, Listeria monocytogenes, Prevalence
Introduction
There are more than 200 known diseases that are transmitted through food and food products. According to annual announcement of World Health Organization (WHO) (2007-2015) ▶ each year more than one million people are infected with foodborne pathogens (World Health Organization (WHO) (2007-2015) ▶ According to a report of The Centers for Disease Control and Prevention (CDC 1999) in the USA, 76 million people get infected and 5000 die each year due to the foodborne pathogens. Despite the improvements in the production of food stuffs, the risk of foodborne diseases has increased during the last 2 decades. It is estimated that almost one-quarter of the world population is at risk of illnesses through contaminated food products, hence mortality due to foodborne diseases is assumed as the main public health concern (Silk et al., 2013 ▶).
Foodborne diseases refer to any illnesses resulting from the consumption of contaminated food with bacteria, viruses, parasites, and toxins. According to the World Health Organization (WHO) (2007-2015) ▶ guidelines, foodborne diseases account for one-third of deaths among children aged under five, and annually 420,000 people die because of foodborne diseases. There are various agents like bacteria, viruses, and parasites causing foodborne diseases, among which, the bacterial agents are more prevalent. Listeria is one of the major causative agents that accounts for serious diseases in humans and animals through the consumption of milk and other dairy products as well as meat, poultry, and ready to-eat products.
About 3% of dietary energy supply of Asian and African people is provided from milk, which is lower than those estimated in European and Oceanian countries. This accounts for providing 6-7% of dietary protein of Asian and African people in comparison with 19% for European countries. Milk and milk products are rich in protein, minerals like calcium, magnesium, selenium, riboflavin, vitamin B5 and B12, which while essential for growth and function of the human body, especially for pregnant women and children, could also provide necessary growth requirements for the contaminating bacteria, such as Listeria spp. and other slow growing bacteria. Milk products are defined as “a product obtained by any processing of milk, which may contain food additives and other ingredients that are functionally necessary for their processing” (Park et al., 2013 ▶). They contain cheese, ice cream, butter, cream, yogurt, etc., which vary in different regions depending on dietary habits and processing of milk. The consumption of milk and milk products is higher in developed countries than in the developing countries, particularly with the improvement of economic status, urbanization, and changes in diet in more populated developing countries. Although industrial milk products provide good supply for this demand, increase in the tendency for usage of freshly prepared products encouraged people toward the use of domestic products. However, this tendency is linked to an increase in infection risk, especially by pathogens such as Campylobacter jejuni, Shigatoxigenic Escherichia coli (STEC), Listeria monocytogenes and Salmonella spp. that are more prevalent in milk and dairy products (Murinda et al., 2002 ▶; Oliver et al., 2005 ▶; Asgharzadeh et al., 2010 ▶; Naseri et al., 2010 ▶).
Survey of antimicrobial resistance in foodborne pathogens, e.g. Listeria spp., beyond control of food contamination is useful for prevention of the disease occurrence, which should be done to help better management of the infections. Currently, a combination of ampicillin or amoxicillin with gentamicin is the primary therapy for human listeriosis. However, administering excessive antibiotic in animals’ feed could contribute to the antimicrobial resistance of this bacterium, which makes the treatment ineffective (Troxler et al., 2000 ▶).
In this review, we tried to provide a more comprehensive view on the prevalence of L. monocytogenes from various sources, their correlation with occurrence of diseases, and status of antibiotic resistance in order to encounter its importance in control and diagnosis.
Epidemiology and characteristics of Listeria
Listeria is a Gram-positive, microaerophilic, non-spore forming, catalase positive and rod-shaped bacteria that is an intrinsic pathogen (Larsen et al., 2006 ▶; Abdollahzadeh et al., 2014 ▶; Shamloo et al., 2015 ▶). Listeria was classified in the Corynebacteriaceae family according to the 7th edition of Bergey’s Manual of Systematic Bacteriology (Parte, 2012 ▶), but was placed in a new family, named as Listeriaceae, in 2004 (Whitman et al., 2012 ▶). However, the 16S rRNA sequence of Listeria is closely related to Lactobacillus and is usually classified along with Lactobacillus and Erysipelothrix (Vos et al., 2011). The optimum temperature for growth of bacteria is 37°C, but could survive at various temperature conditions (Shamloo et al., 2018 ▶). Like other Gram-positive bacteria, they have teichoic acid. The genus of Listeria is comprised of 17 species, among which six species are more frequent: Listeria monocytogenes, Listeria ivanovii, Listeria seeligeri, Listeria innocua, Listeria welshimeri, and Listeria grayi (Gasanov et al., 2005 ▶). Among these species, only L. monocytogenes causes serious disease in both animals and human. Listeria monocytogenes is a foodborne bacterium that can be found in different sources, such as water, soil and different kinds of food products as well as in humans and animals (Rabiey et al., 2013 ▶). Listeria monocytogenes produces soluble listeriolysin O (LLO), a unique cytolysin, which could be activated in low pH and produced under heat stress. The disease produced by L. monocytogenes is listeriosis, which is mainly caused by eating contaminated food products (Liu et al., 2005 ▶). Listeria monocytogenes is a major causative agent of foodborne illness worldwide, resulting in a high rate of hospitalization and mortality.
Listeria monocytogenes could be sub-classified in 13 serotypes according to somatic O antigen, all of which could cause listeriosis, but serotype 1.2b, 1.2a, 4b, are more prevalent (Abdollahzadeh et al., 2017 ▶). Serotypes 4c, 4b, 3b, 1.2a, 1.2b, are mostly isolated from food products regardless of the types of food matrixes, their capacity for pathogenicity, or the geographical regions. Serotype 4b is closely related to listeriosis outbreaks (Abdi Moghadam et al., 2015 ▶). The bacterium has a widespread distribution, ranging from soil, water, food products, meat, vegetables, fish, processed foods, ready-to-eat food and dairy products, as well as in the clinical and healthcare facilities. This is due to ability of this pathogen to survive and grow in dry, cold, and high salt environments. The bacterium can easily grow in different food matrixes kept in the refrigerator (Mahdavi et al., 2012 ▶). Listeria can adapt to the conditions of the gastrointestinal tract by overcoming improper conditions of this microenvironment, including the acidity, osmolality, low oxygen, and the antimicrobial effect of bile salts and peptides. It was indicated that Listeria could cause the chronic infection and has a unique ability to survive in different microenvironments of the gastrointestinal tract (Gahan et al., 2005). Listeria monocytogenes infection is accounted for various syndromes in humans, ranging from mild to severe. It causes abortion or immature birth in pregnancy or septicemia and meningitis in immunocompromised patients, such as those with cancer or leukemia, in adults above 65 years old, or patients with acquired immunedeficiency syndrome (AIDS) and Hodgkin. Moreover, Listeria was isolated from faecal samples of 5% of healthy adults. In the gastrointestinal diseases, the most common clinical manifestation is diarrhea, mild fever, nausea, and vomiting. It is estimated that more than 1600 people are infected with L. monocytogenes annually that cause about 260 deaths in the USA (Thomas, 2016 ▶). The infection shows a seasonal trend, with peaks in mortality from July through October (Sauders et al., 2003 ▶).
Listeria outbreaks
The incidence of Listeria is relatively rare and the annual report of infection with Listeria has been decreased from 7.7 cases per one million to 3.1 cases during the period 1990 to 2003 in the USA. Moreover, in Europe, the incidence of infection has declined from 4.5 cases per million to 3.4 cases between 1999 and 2003. Annually, 1600 cases of Listeria infection are reported from the USA. One study indicated that the annual incidence of Listeria infection in USA is about 1795-1860 cases per 100000 persons (Clark, 2015-2017 ▶). Also, the mortality rate for this infection is about 30% in some regions of the United States. In European countries, overall 1760 cases of listeriosis were reported in human in 2013 by the European Food Safety Authority (EFSA). On average, 99.1% of the cases needed hospitalization (Control and Prevention, 2011).
According to the CDC’s National Center for Zoonotic, Vector-Borne, and Enteric Diseases, listeriosis was added to the list of nationally notifiable diseases in 2001. To improve its surveillance study, the Council of State and Territorial Epidemiologists has recommended that all L. monocytogenes isolates be forwarded to state public health laboratories for subtyping through the National Molecular Subtyping Network for Foodborne Disease Surveillance. All states have regulations requiring health care providers to report listeriosis cases, and public health officials should try to interview all infected persons promptly using a standard questionnaire about high risk foods. To reach this goal, FoodNet conducts active laboratory-and population-based surveillance (Davidson et al., 1989 ▶). Based on these surveillance studies in 2006, USA’s public health officials announced that among 884 outbreaks of foodborne pathogens, just one outbreak was due to Listeria; however, one year later the CDC reported 122 outbreaks of Listeria in the world that reached to 158 outbreaks in 2008. However, these data demonstrated that the incidence of infection due to Listeria was decreased (42%) in comparison with 1998 (Chen et al., 2006 ▶). Currently, most of the outbreaks are contributed via the consumption of dairy products, while the number of outbreaks due to consumption of ready to eat foods has been decreased. Consumption of fruits, vegetables, and ice cream are associated with low to moderate numbers of Listeria outbreaks. An outbreak of Listeria due to contamination of cantaloupe was reported in 2011. In March 2015, an outbreak of Listeria with consumption of ice cream was reported. What was unusual about this outbreak was that three serotypes 1/2b, 3b, and 1/2a of Listeria, which are basically related to food and the environment, were reported as responsible bacteria in this outbreak. In addition, low level of contamination was observed in the ice-cream samples, representing a lower infectious dose for them. It should also be considered that the health state of patients has a great impact on infection with L. monocytogenes, since the rate of infection is higher in immunocompromised patients (Buchanan, 2017 ▶).
Most prevalent serotypes of Listeria in foods and environments are 1/2a and 1/2b. However, serotype 4b strains account for 50% of human Listeria outbreaks, while serotype 1/2a causes 27% of clinical listeriosis (Burall et al., 2017 ▶). In European countries, overall 1760 cases of Listeria in human were reported in 2013 by EFSA. Recent evidence declared that most of Listeria outbreaks were linked with contamination of crustaceans, shellfish, mollusks, meat and meat products, cheese, vegetable, and juice in EU regions (Zhu et al., 2017 ▶). The highest percentage of contamination in Chinese food industries were L. monocytogenes according to a 2 year survey conducted by (Wu et al., 2015 ▶) with about 20% contamination. They found out that the rate of contamination (Serotypes 1/2a and 3a) in North China was higher than southern area, which is as a result of its psychotropic property. North area has a cold climate whereas the south part is mostly warm (Wu et al., 2015 ▶). Other outbreaks of listeriosis and responsible serotypes which caused the infection through consumption of contaminated milk and dairy products are summarized in Table 1.
Table 1.
Country | Year | Food type | No. of cases | Deaths | Serotype | References |
---|---|---|---|---|---|---|
Maryland, USA | 1979 | Raw milk | 20 | 3 | 4b | Ho et al. (1986) |
England | 1981 | Dairy products | 11 | 5 | 1.2a | FDA (2003) |
Switzerland | 1983-87 | Soft cheese | 122 | 33 | 4b | Büla et al. (1995) |
USA | 1983 | Milk | 49 | 14 | 4b | Fleming et al. (1985) ▶, Jemmi et al. (2006) ▶ |
Switzerland | 1983-87 | Soft cheese | 122 | 34 | 4b | |
USA | 1985 | Mexican-type cheese | 142 | 48 | 4b | Linnan et al. (1988) |
USA | 1985 | Soft cheese | 142 | 30 | 4b | |
Austria | 1986 | Unpasteurized milk | 28 | 5 | Allerberger et al. (1988) | |
Pennsylvania, USA | 1986-87 | Ice cream | 36 | 44 | 4b, 1.2b, 1.2a | |
Denmark | 1989-90 | Blue Mold cheese | 26 | 7 | 4b | |
Wisconsin and Michigan, USA | 1994 | Chocolate milk | 45 | 1.2b | Dalton et al. (1997) | |
USA | 1994 | Milk | 45 | 0 | 1.2b | |
France | 1995 | Soft cheese | 17 | 4 | 4b | |
France | 1995 | Brie de Meaux cheese | 36 | 4 | 4b | Vaillant et al. (1998) |
France | 1997 | 14 | 4b | |||
Finland | 1998-99 | Butter | 25 | 6 | 3a | |
England | 1999 | cheese | 2 | 4b | Kimball (2016) | |
North Carolina, USA | 2000 | Queso Fresco cheese | 12 | 5 | 4b | |
North Carolina, USA | 2000 | Mexican-style cheese | 13 | 5 | 4b | |
Sweden | 2001 | Soft cheese | 120 | 1.2a | ||
Japan | 2001 | Washed-type cheese | 38 | 1.2b | ||
British Columbia | 2002 | Cheese | 47 | 4b | ||
Quebec, Canada | 2002 | Cheese | 17 | 0 | ||
British Columbia | 2002 | Pasteurized cheese | 86 | 4b | ||
Texas, USA | 2003 | fresh cheese | 13 | 2 | ||
Texas, USA | 2003 | Mexican-style cheese | 4b | |||
Texas, USA | 2003-07 | Queso fresco | 74 | 10 | ||
Switzerland | 2005 | Soft cheese | 10 | 3 | 1.2a | Bille et al. (2006) |
Texas, USA | 2005 | Raw milk | 12 | Control et al. (2005) | ||
Switzerland | 2005 | Soft cheese | 3 | 1 | ||
Czech Republic | 2006 | Cheese | 75 | 1.2a | ||
Germany | 2006 | Hard cheese | 6 | 1 | ||
Germany | 2006-07 | Cheese | 189 | 26 | 4b-1.2a-1.2b | |
Norway | 2007 | Raw milk soft cheese | 21 | 5 | ||
Massachusetts, USA | 2007 | Pasteurized milk | 5 | 3 | Control et al. (2008) | |
USA | 2008 | Mexican-style cheese | 8 | 1.2a | ||
Quebec | 2008 | Cheese | 38 | 2 | 1.2a |
Prevalence of Listeria monocytogenes in milk
Fleming et al. (1988) ▶ in 1985 reported the first report of L. monocytogenes in 2% of pasteurized milk in Massachusetts, but before that, Weis (1975) ▶ confirmed that L. monocytogenes is a causative agent of mastitis in dairy cows, which can lead to contamination of excreted milk. From that time, a series of studies were conducted on L. monocytogenes in milk and milk products. The contamination rates were reported in raw milk as high as 45% in Spain, and 12% in the USA (Fenlon et al., 1989 ▶). A Brazilian researcher conducted a survey from October 1989-1990 on the incidence of Listeria spp. in raw and pasteurized milk and found Listeria spp. in 12.7% of raw milk samples and about 0.9% of pasteurized milk samples (Moura et al., 1993 ▶). A number of studies were conducted on the prevalence of L. monocytogenes and Listeria spp. in milk and dairy products. For example, in 2004, a study was conducted in the Czech Republic, which declared an overall rate of 2.6% contamination with L. monocytogenes in milk samples, which was due to contamination of milk with soil prior to pasteurization (Navratilova et al., 2004 ▶). Another study published in the same year in Northern Ireland was based on a year-long survey conducted on milk processing plant in which researcher found the contamination with Listeria spp. in 44.4% of raw milk and 5.6% of pasteurized milk samples. Listeria monocytogenes constituted 22% of the raw samples; however, it was not detected in pasteurized milk samples (Kells et al., 2004 ▶). Dairy farming is the leading agricultural sector of various countries. A survey conducted in Latvia on various farms across the country illustrated that Listeria spp. was mostly found in raw milk prepared in a conventional way. They demonstrated that L. monocytogenes was mostly isolated from bulk milk from an organic dairy farm, but the prevalence of infection was three times higher in milk samples of conventional dairy farms, 33 versus 211 samples, respectively (Konosonoka et al., 2012 ▶). People use goat and sheep milk as an alternative to feeding infants that cannot tolerate cow milk due to having an allergy. Furthermore, the milk of goat and sheep has more nutritional value than cow milk. It was demonstrated that Listeria spp. are found in 5.6% of goat milk samples and 3.9% of sheep milk samples, in which 33.3 and 25% of them belonged to L. monocytogenes, respectively. Accordingly, the hygienic conditions of milking machines and public health consideration should be employed to avoid the infection (Osman et al., 2014 ▶). In a study that was conducted in Ethiopia, the prevalence of Listeria spp. in raw milk and milk products was 28.4%, where 5.6% of them belonged to L. monocytogenes. Interestingly, researchers declared that raw milk had the lowest contamination among other milk products (18.9%), while the prevalence of contamination in pasteurized milk was about 40% (Seyoum et al., 2015 ▶). Although pasteurization could decrease the likelihood of infection, it cannot completely eliminate the threat, as a report from Finland showed that milk could be contaminated through subsequent stages of pasteurization (Lyytikäinen et al., 2000 ▶). Their results indicated that the prevalence of L. monocytogenes in the bottled raw milk was higher than the fresh bulk tank milk (4.8% versus 1.7%). The prevalence of bacteria in milk filter socks was about 39%. They examined the effect of temperature in growth of Listeria and found that keeping the milk at refrigerator temperature could decrease the incidence of infection in milk. The most recent report from Iran was from Isfahan in which they found that the prevalence of Listeria spp. in raw milk, ice cream, cream, and porridge was 5.49%, 19.04%, 11.11%, and 4%, respectively. However, they did not detect any Listeria spp. in yogurt, butter, kashk, and cheese. According to previous reports from Iran, dominant species of Listeria was L. innocua and L. monocytogenes with a prevalence of 5.44% and 1.36%, respectively (Shamloo et al., 2015 ▶; Sayevand et al., 2018 ▶). Different studies from Iran reported that the rate of contamination with L. monocytogenes ranged from 1-4%. Interestingly, a recent study did not find Listeria spp. in cheese samples. Probably, this is due to the correct manufacturing process of cheese. Diversity in the prevalence of L. monocytogenes and its serotypes among different studies on milk samples are summarized in Table 2.
Table 2.
Year | Country | No. Sample/ positive |
% Isolate L.M | Food type | Serovar L.M | Isolation methods | Identification methods | References |
---|---|---|---|---|---|---|---|---|
2001 | Chile | 1014/23 | 2.2 | Cheese-ice cream | 1.2a-4b-1.2b | FDA | Biochemical-CAMP | Cordano et al. (2001) |
2001 | European | 329/21 | 6.4 | Red smear cheese | IDF | Biochemical-CAMP | Rudolf et al. (2001) | |
2001 | Mexico | 1300/162 | 13 | Raw milk | 1-4b | FDA | Phage typing | |
2002 | Sweden | 295/58 | 19.6 | Silo raw milk | 1.2a | ISO | Biochemical-CAMP | |
2002 | Switzerland | 76271/3722 | 4.9 | Cheese ripening | 1.2b-1.2a-4b-3b-1.2c | FDA | Hybridization DNA probe | |
2004 | Italy | 96 | Gorgonzola cheese | 1.2a | USDA | Biochemical-CAMP | Carminati et al. (2004) | |
2004 | Spain | 340/23 | 6.8 | Cow milk | 1.2a-4b-1.2b | FDA | ||
2004 | Spain | 202/6 | 3 | Sheep milk | 4b-1.2c | FDA | ||
2005 | Japan | 123/15 | 12.1 | Domestic cheese | 1.2b | FDA | PFGE | |
2005 | Portugal | 63/29 | 46 | Soft cheese | 4b-1.2b-1.2a | USDA | Phage typing | |
2006 | Turkey | 157/2 | 1.27 | White cheese | FDA | Biochemical-CAMP | Aygun et al. (2006) | |
2007 | Iran | 500/8 | 1.6 | Raw milk | 4b | ISO | Phage typing | |
2007 | Turkey | 250/12 | 4.8 | Tulum cheese | FDA | Biochemical-CAMP | Colak et al. (2007) | |
2007 | Algiers | 237/11 | 4.64 | Raw milk | 4b-4d-4e | IMMUNO-ENZYMATIC | Biochemical-CAMP | |
2008 | India | 2060/105 | 5.1 | Raw milk | USDA | PCR | ||
2008 | Turkey | 142/13 | 9.2 | White cheese | FDA | Biochemical-CAMP | ||
2008 | Brazil | 10/6 | 60 | cheese | 1.2a | FDA | Biochemical-CAMP | |
2009 | Lebanon | 164/24 | 14.6 | Dairy-based food | PCR | |||
2009 | Irish | 330/21 | 6 | Irish cheese | ISO/FDA | RT-PCR | ||
2010 | Croatia | 60/2 | 3 | cheese | ISO | Biochemical-CAMP | ||
2010 | Iran | 594/18 | 3 | Raw sheep milk | USDA | PCR | Rahimi, Ebrahim et al. (2010) | |
2010 | Turkey | 280/7 | 2.5 | Cheese | ISO | Biochemical-CAMP | ||
2011 | Mexico | 200/18 | 9 | Mexican-fresh cheeses | FDA | Biochemical-CAMP | ||
2011 | Turkey | 120/34 | 28.3 | Semi-hard cheese | FDA | Biochemical-CAMP CAMP | Guner et al. (2011) | |
2012 | Iran | 91/4 | 4.3 | Raw milk | USDA | PCR | ||
2012 | Jordan | 350/39 | 11 | White cheese | ISO | PCR | ||
2012 | Iran | 290/5 | 1.7 | Ice-cream | USDA | PCR | Rahimi et al. (2012b) | |
2013 | Iran | 446/18 | 4 | Raw milk | 1.2a-3a-1.2c-3c-4b | USDA | Biochemical-CAMP | |
2013 | Morocco | 288/17 | 5.9 | Raw milk-traditional dairy products | ISO | Biochemical-CAMP | ||
2014 | 20/12 | 60 | Cheese | 1.2b-1.2a | ISO | PFGE | ||
2014 | Iran | 18/9 | 50 | Lighvan cheese | ISO | Biochemical-CAMP | ||
2014 | Pakistan | 400/9 | 2.2 | Raw milk | ISO | Biochemical-CAMP | ||
2014 | 200/46 | 23 | Raw milk-cheese | FDA | PCR | |||
2015 | India | 307/50 | 16.2 | Raw milk | 1.2a-4b | ISO | Multiplex PCR | |
2015 | Iran | 292/4 | 1.36 | Traditional dairy products | USDA | PCR | ||
2015 | Bangladesh | 40/0 | 0 | Dairy products | USDA/FDA | Biochemical-CAMP | ||
2015 | Egypt | 133/3 | 2.2 | Dairy products | ISO | Biochemical-CAMP | ||
2015 | Iran | 100/5 | 5 | Raw milk | FDA | PCR | ||
2015 | Ethiopia | 443/25 | 5.6 | Dairy products | FDA | Biochemical-CAMP | ||
2016 | 210/14 | 6.6 | Dairy products | 1.2b-4b-1.2a | ISO | PCR | ||
2016 | Nigeria | 173/14 | 8.3 | Raw milk | FDA | PCR | ||
2016 | Italy | 8716/145 | 1.66 | Raw milk | ISO | RT-PCR | ||
2016 | Egypt | 122/11 | 9 | Raw milk-soft cheese | COLD ENRICHMENT | PCR | El-Banna et al. (2016) | |
2016 | Nigeria | 36/9 | 25 | Milk and milk products | FDA | PCR | ||
2016 | Turkey | 279/44 | 15.7 | Pottery cheese | FDA | Biochemical-CAMP |
FDA: Food and Drug Administration, IDF: International Dairy Federation, ISO: International Organization for Standardization, USDA: United States Department of Agriculture, CAMP test: (Christie-Atkinson-Munch-Peterson), PFGE: Pulsed-field gel electrophoresis, PCR: Polymerase chain reaction, RT: Reverse transcription polymerase chain reaction, and L.M: Listeria monocytogenes
Detection of Listeria spp.
The contamination of food and dairy products with L. monocytogenes is the major cause of foodborne disease in humans. Since researchers have found that L. monocytogenes is a foodborne pathogen, there is a continuous challenge about the isolation of the bacterium from food and other samples (Sutherland, 1997). The primary studies indicated that L. monocytogenes is able to grow at the low temperature; accordingly, researchers used this phenomenon for its isolation from clinical samples by culturing for a long time at 4°C. However, this method could not differentiate the injured Listeria cells which cannot survive and grow in stress conditions. The approved methods should enrich the bacteria with a detectable level of 104-105 colony-forming unit (CFU) in one milliliter of a sample and should detect one Listeria in each 25 g of the food sample. Listeria grows slowly and can be suppressed by competitors. The administration of bacteriostatic agents, e.g., nalidixic acid and acriflavine, into enrichment media was approved in all standard methods of the isolation (Gasanov et al., 2005 ▶).
The rate of growth in enrichment media depends on the type of food that Listeria is isolated from, the production of bacteriophage, and monocins as an inhibitor of growth and existence of competing flora. Hence, based on the source of bacterium in which Listeria is isolated, different media have been administered for the enrichment process. The three most popular enrichment mediums are Listeria electrical broth, Fraser media, and University of Vermont broth (UVMII) media. Listeria electrical broth is suitable for isolation of Listeria from seafood and environment and has the highest specificity (Duarte et al., 1999 ▶). Administering Fraser media has a lower number of false negative results in comparison with UVMII media that has the highest number of false positive (Loncarevic et al., 2008 ▶).
Although enrichment culture is a standard method in the food industry, the results are usually available after one week. Two of the most important reference methods for detection of Listeria in all food samples are Food and Drug Administration (FDA) bacteriological and analytical methods (BAM) and International Organization of Standard (ISO) 11290 methods (Hitchins, 2001 ▶). In FDA-BAM method the enrichment step is carried out in media containing selective bacteriostatic agent (nalidixic acid and acriflavine) along with cycloheximide as an antifungal agent. The temperature for enrichment is 30°C for 48 h. The ISO 11290 is a two-step process (Gasanov et al., 2005 ▶). The first enrichment in half Fraser broth for 24 h, then a full strength Fraser media is used for further enrichment.
The Fraser media contains the same bacteriostatic agents as in FDA-BAM method. It contains esculin for detecting the β-D-galactosidase activity of Listeria. However, using bacteriostatic agents can have an adverse effect on the bacterial population. To avoid this effect, in FDA-BAM method, the agent is added after 4 h of incubation allowing the injured cells to recover and grow in media, whereas in ISO method, the half concentration of agents is added in the first step of enrichment. Table 2 summarized the methods used for isolation of Listeria in milk and dairy products (Hitchins, 2001 ▶).
Researchers also use other reference enrichment methods for particular food products. For meat, eggs, poultry, and environmental samples the two-step the United States Department of Agriculture (USDA) protocol have been used. In the first step, they used University of Vermont Medium containing both bacteriostatic agents (nalidixic acid and acriflavine) and in the next step, Fraser broth and culture in Modified Oxford agar with moxalactam and colistin sulfate as a selective agent were used (Hau et al., 2002 ▶).
For dairy products, the AOA/IDF method 990.12 is used, which contains the same bacteriostatic agents in enrichment media and is then cultured on Oxford agar. According to the Nordic committee no. 136 (L. monocytogenes detection and enumeration in foods), about 94.9-96.4% of L. monocytogenes samples are detected using the first step of ISO 11290 with half Fraser media and if the rate of contamination is very low, the second step could not be omitted (Loncarevic et al., 2008 ▶).
Selective media
In three reference enrichment methods, it is recommended to use polymyxin-Acriflavine-Lithium-Chloride-Ceftazidime-Aesculin-Mannitol (PALCAM) and Oxford agar as a selective media, although they cannot differentiate pathogenic and nonpathogenic Listeria spp. (Aurora et al., 2008 ▶). Recently, the chromogenic media which is based on essential pathogenic virulence factors of Listeria has been administered. Chromogenic media is the most popular culture confirmation method because of its easy preparation and explanation. It enables identification of L. monocytogenes after 24 h. The detection of L. monocytogenes in Listeria agar with Ottaviani and Agosti (ALOA) is based on the detection of phosphatidylinositol-specific phospholipase C (PI-PLC) activity, which in L. monocytogenes and some strains of L. inanovii hydrolyze the l-α-phosphatidylinositol and produce a fatty acid that forms an opaque halo around the colonies (Greenacre et al., 2003 ▶). The other media that are similar to ALOA plate include BCM Listeria (Biosynth, Switzerland), OCLA (Oxoid, UK), CHROM agar_ Listeria (BD e Diagnostic Systems, USA) and OAA (bioMérieux, France). Rapid L’mono_ (Bio-Rad Laboratories, USA), could distinguish between hemolytic and nonhemolytic Listeria based on fermentation of xylose. Listeria ivanovii could ferment the xylose and produce blue colonies with yellow halo; however, L. monocytogenes is non-hemolytic and could not ferment the xylose and produce blue colonies without a halo. Other species of Listeria could not cleave the 5-bromo-4-chloro-3-indolyl-myo-inositol-1-phosphate (X-IP), a substrate of PI-PLC and grow with white colonies with or without a yellow halo (Jantzen et al., 2006 ▶). The CHROM agar could be used for the isolation of Listeria from meat products. The BBL CHROM agar is used for isolating Listeria from different sources, such as food and environmental samples. Comparison of ALOA agar with Oxford and PALCAM showed that there is no difference in the isolation of L. monocytogenes between these three media; however, the rate of isolation of L. innocua was ten times higher in ALOA media than other media; moreover, the ALOA media gives a better and higher recovery after 24 h (Loncarevic et al., 2008 ▶).
Confirmation of bacterial species
Two basic phenotypic and genotypic methods have been carried out following enrichment and primary isolation of Listeria from food and environmental samples.
1. Phenotypic assays
Immunoassay tests
There are different kinds of immunoassay tests which are based on natural binding of different antibodies (e.g., monoclonal, polyclonal, and recombinant antibodies) to the specific antigen on the surface of bacteria. To increase the rate of detection, pre-enrichment is needed in order to eliminate the background flora noise and low cell count (Gasanov et al., 2005 ▶). Most of the immunoassay techniques in Listeria are used for detecting some structural components, such as flagella, LLO toxin, and protein p60. These techniques include enzyme-linked-immunosorbent assays (ELISA), Sandwich ELISA, competitive ELISA, fluorescently labeled ELISA, and latex agglutination assay, and enzyme-linked immunofluorescent assay (ELFA). All of these techniques need high amounts of samples and are expensive to carry out since they require specialized equipment (Gasanov et al., 2005 ▶).
Biochemical and culture methods
Biochemical methods are used for the confirmation of Listeria colony isolates from selective culture media. These methods could be based on their ability to hemolyse sheep or horse RBC or make the acidic environment via the break down of D-xylose, L-rhamnose, K-methyl-D-mannoside, and D-mannitol. The Christie-Atkins-Munch-Petersen (CAMP) test can be used for differentiation of hemolytic species of Listeria in which the suspected bacterium is cultured horizontally between streaks of Staphylococous aureus and Rhodococcus equi on blood agar (Gasanov et al., 2005 ▶). For instance, L. inanovii enlarge the area of hemolysis produced by R. equi, but it was shown that the CAMP test cannot differentiate between L. monocytogenes and L. ivanovii. So, administrating the commercial β-lysine discs is recommended in USDA method. Also, fermentation of different sugars could be used for identification of non-hemolytic species. Although biochemical methods are useful for identification of bacteria, they have some false and ambiguous results.
2. Molecular assays
Phenotypes, enzymatic activities, and general properties of bacteria that are used by biochemical tests for their detection may be changed by external conditions, such as growth phase and mutations of responsible genes. Recent advances in genetic and molecular methods, which enable us to target unique genes that are not be affected by natural variations in each species of bacteria, diminished this weakness and increased accuracy of the diagnosis (Liu et al., 2003 ▶). Identification of L. monocytogenes using molecular methods has now become very popular, because these techniques are sorely sensitive, accurate and specific. DNA hybridization and polymerase chain reaction (PCR) are among these used techniques.
Nucleic acid amplification
The inlB gene is 100% specific for L. monocytogenes that could detect the very low amount of bacteria without prior enrichment process (Aznar et al., 2002 ▶). In addition, the group of internalins (inlA, B, C) could be amplified using multiplex PCR method that increases the sensitivity (Abdollahzadeh et al., 2016b ▶). The most popular virulence factor genes which are amplified using PCR are hlyA gene (LLO), iap gene (Invasion-Associated Protein), inl gene (internalins), prfA (regulator protein for activation of virulence cluster), and 16S rRNA. The detection of two or more virulence factors in Listeria could give a precise result. Detection of Listeria and rapid discrimination of its isolates at strain level could be done using Multi-Locus Single Strand Conformation Polymorphism (MLSSCP), after amplification of four polymorphic virulence genes (Takahashi et al., 2007 ▶).
The amplification methods have some limitations; they cannot distinguish between viable and inactivated Listeria as well as some background components. The existence of phenol, aldehydes in smoked fish, hemoglobin in blood or protease in dairy products can interfere in PCR process. Furthermore, some factors like the types of culture media that are used for initial enrichment and isolation, the methods of DNA extraction, and sample preparation have effects on PCR results (Simon et al., 1996 ▶).
DNA hybridization
DNA hybridization is another molecular method that is used for characterization of Listeria. In this assay rapid detection of Listeria spp. is done using single probe labeled with a radioisotope or immunofluorescent agent which is complemented with target DNA sequences. This technique is currently employed commercially for rapid detection of Listeria in food products.
Typing methods for L. monocytogenes
Some types of L. monocytogenes are linked with human infections, such as serotype 4a, and some others are involved in the food contamination. Several typing methods based on the serological and molecular methods have been approved to differentiate these lineages during an outbreak.
1. Serological methods
Listeria species has been divided into 15 serotypes based on somatic (O) antigen, which is heat-stable, whereas it is divided into 4 serotypes based on the flagellar antigen, which is heat labile. At least 13 serotypes of Listeria have been determined by combination of both O and H antigens (i.e. 1/2a, 1/2b, 1/2c, 3a, 3b, 3c, 4a, 4ab, 4b, 4c, 4d, 4e, and 7) (Seeliger and Jones, 1986 ▶). Among these serotypes 1/2a, 1/2 b, and 4b are the most prevalent in human disease. In addition, the 4b serotype is mostly prevalent in epidemic outbreaks of Listeria, whereas, 1/2a and 1/2b are mostly sporadic (Jeršek et al., 1999 ▶). However, recently 1/2a serotype was a major cause of outbreak in countries such as Canada, Germany, and Austria (Chenal-Francisque et al., 2011 ▶). Despite the ease of application, serotyping methods have less sensitivity and should be followed by other molecular methods.
2. Phage typing
Strains of Listeria species could be differentiated based on their sensitivity to defined phages. In this assay, after administration of defined members of phages that target specific antigens on Listeria cells, lysis occurs. Phage type of each isolate is then characterized based on its sensitivity. This assay is a reliable test for distinguishing Listeria strains (Loessner, 1991 ▶).
3. Multi-locus enzyme electrophoresis (MLEE)
Multi-locus enzyme electrophoresis is based on the different patterns of amino acid migration in variable electrostatic charge that reflects the allelic variation of genes coding these sequences of amino acid. Molecular typing using MLEE is a reliable method as most of WHO laboratories used it for detecting Listeria serotypes because of the high sensitivity and it is easy to perform (Thomas et al., 2012 ▶). However, more consideration should be taken for interpretation of the results due to detection of large numbers of electrophoretic bands in the isolates and the variations on test conditions.
4. Esterase typing
This method measures the esterase activity of L. monocytogenes cells on a starch membrane using electrophoresis; however, the reproducibility of this method is relatively low (Harvey et al., 1996).
5. Pulse field gel electrophoresis (PFGE)
Pulse field gel electrophoresis is an effective and gold standard method for typing of pathogenic Listeria strains from contaminated samples (Abdollahzadeh et al., 2016a ▶). It could discriminate between different types of Listeria from various sources. The total genome of bacteria is cut into several pieces by restriction enzymes. The DNA fragments produce unique band patterns on an agarose gel and then, L. monocytogenes is classified into different subtypes (pulsotypes) according to defined PFGE patterns.
6. Ribotyping
This method is based on different ribosomal genes of an organism and their relationship among different subtypes. Mostly, the ribosomal RNA which is constant over the evolution of organism has been used for typing. Briefly, the ribosomal genes are digested with restriction enzymes and hybrid with rRNA gene probes. The pattern of banding indicates the type of Listeria. This method is very reliable and reproducible, however the rate of differentiation between L. monocytogenes types is less than molecular methods (Bruce et al., 1995 ▶). This method could also be done based on PCR method (PCR-ribotyping).
7. PCR based methods for typing
There are two prevalent methods for the amplification of a specific part of a gene. One approach is random amplification of polymorphic DNA (RAPD), which is based on using random primers for amplifying the DNA fragments. In this assay, different species are distinguished based on the number and size of the amplified fragments. Advantage of this method is the ability to amplify an unknown microorganism using short-length primers. This method is widely used for epidemiological studies and typing of bacteria isolated from poultry industries, dairy environment, and food products (Zulkifli et al., 2009 ▶). Another approach is based on DNA fragmentation or conformational variation in PCR products. Two popular methods are SSCP and restriction fragment length polymorphism (RFLP) (Wiedmann, 2002 ▶). In RFPL the target gene is ribosomal subunits or virulence factors amplified with PCR that are then cut into different patterns using restriction enzymes. However, this method cannot differentiate serotypes very well. In SSCP, small mutations in the DNA fragment causes conformational changes in DNA strand (Wiedmann, 2002 ▶). These changes could be detected using denaturation gradient gel electrophoresis (DGGE) or temperature gradient gel electrophoresis (TGGE) (Muyzer, 1999 ▶). Capillary electrophoresis can increase the sensitivity of detection. DNA sequences used for this approach are mostly 16S rRNA gene, hemolysin (hly) and iap genes (Wagner et al., 2000 ▶).
The recent approach for evaluating variability and relationship among different species of bacteria, especially in outbreak, is the multilocus sequence typing that is high-quality method (Lamon et al., 2015 ▶). The multi virulence locus sequence typing (MVLST) administered for differentiation of pathogenic and nonpathogenic strains. It evaluates the virulence genes (e.g., prfA, inlB, inlC) (Zhang et al., 2004 ▶). For accurate identification of different species in epidemiological studies, detection of tandem repeat regions such as variable number of tandem repeats (VNTR) regions is useful. The VNTR locus is located in stable regions of the genome and do not change over the evolution (Sperry et al., 2008 ▶).
Antimicrobial resistance
1. Antibiotic resistance in food and the environment
Antibiotic resistance of Listeria which was isolated from cheese and pork was reported in 1996 (Rota et al., 1996 ▶). After that, various studies from different countries demonstrated the prevalence of antibiotic resistance in Listeria spp. varying from 0.6% up to 59% depending on sources from which they were isolated (Walsh et al., 2001 ▶; Antunes et al., 2002; Srinivasan et al., 2005 ▶). Resistance to oxacillin has the highest incidence, which was reported from Turkish food industries. The percentage of resistance to antibiotic varies between 59-63% according to the type of sources from which Listeria was isolated (Lyon et al., 2008 ▶). Recently, Byren et al. (2016) demonstrated that 50% of Listeria spp. was isolated from vegetables, and two L. monocytogenes isolates from ready-to-eat vegetables, were resistant to penicillin G (PEG) and tetracycline (TET). In addition, Abdollahzadeh et al. (2016a) ▶ found high resistant levels of L. monocytogenes to ampicillin, cefotaxime, and penicillin among the clinical and seafood isolates, they showed that the percentage of resistance to cefotaxime was 100%. In the case of penicillin the resistance rate was 71.4% for the clinical isolates and 57% for the seafood isolates (Abdollahzadeh et al., 2016a ▶). Diversity in the frequency of antibiotic resistance among different studies on L. monocytogenes isolates from food and food-producing environments is summarized in Table 3.
Table 3.
Antibiotics | Sources isolated from | References | Year |
---|---|---|---|
Amikacin | Dairy-based foods | 2009 | |
Ampicillin | Retail meats | 2001 | |
Listeria monocytogenes type strains | Njagi et al. | 2004 | |
Dairy farm environment | 2005 | ||
Meat products | Yucel et al. | 2005 | |
Dairy-based foods | 2009 | ||
Turkey meat | Aras et al. | 2015 | |
Open air-fish market environment | 2015 | ||
Bacitracin | Bison | Li et al. | 2007 |
Cefotaxime | Cheese, pork sausage | 1996 | |
Bison | Li et al. | 2007 | |
Cefoxitin | Cheese, pork sausage | 1996 | |
Ceftazidime | Open air-fish market environment | 2015 | |
Ceftriaxone | Processing plant | 2008 | |
Bovine hides, carcasses | Wieczorek et al. | 2012 | |
Cephalosporin C | Dairy farm environment | 2005 | |
Cephalothin | Cabbage, environment | Prazak et al. | 2002 |
Meat products | Yucel et al. | 2005 | |
Turkey meat | Aras et al. | 2015 | |
Open air-fish market environment | 2015 | ||
Chloramphenicol | Pork sausage | 1996 | |
Cheese, pork sausage | 1996 | ||
Dairy farm environment | 2005 | ||
Meat products | Yücel et al. | 2005 | |
Poultry meat | Miranda et al. | 2008 | |
Dairy-based food | 2009 | ||
Ciproflaxin | Cabbage | Prazak et al. | 2002 |
Foodstuffs and processing environment | 2009 | ||
Poultry meat | Alonso-Hernando et al. | 2012 | |
Clindamycin | Pork sausage | 1996 | |
Cabbage, water, environment | Prazak et al. | 2002 | |
Poultry carcasses | Antunes et al. | 2002 | |
Poultry carcasses | Antunes et al. | 2002 | |
Cabbage, water | Prazak et al. | 2002 | |
Clinical isolates | Safdar and Armstrong | 2003 | |
Poultry meat | Miranda et al. | 2008 | |
Poultry meat | Miranda et al. | 2008 | |
Dairy-based food | 2009 | ||
Surface (beef processing plant) | Granier et al. | 2011 | |
Sludge, activated sludge | Granier et al. | 2011 | |
Bovine hides, carcasses | Wieczorek et al. | 2012 | |
Turkey meat | Aras et al. | 2015 | |
Open air-fish market environment | 2015 | ||
Florfenicol | Dairy farm environment | 2005 | |
Fosfomycin | Bison | Li et al. | 2007 |
Gentamicin | Environment | Prazak et al. | 2002 |
Dairy-based foods | 2009 | ||
Poultry meat | Alonso-Hernando | 2012 | |
Bovine hides, carcasses | Wieczorek | 2012 | |
Turkey meat | Aras et al. | 2015 | |
Kanamycin | Meat products | Yucel et al. | 2005 |
Linezolid | Foodstuffs and processing environment | Conter et al. | 2009 |
Linomycin | Bison | Li et al. | 2007 |
Meticilin | Turkey meat | Aras et al. | 2015 |
Nalidixic acid | Meat products | Yucel et al. | 2005 |
Nitrofurantoin | Cabbage, water | Prazak et al. | 2002 |
Oxacillin | Cabbage, water, environment, | Prazak et al. | 2002 |
Bison | Li et al. | 2007 | |
Dairy-based food | Li et al. | 2007 | |
Bovine hides, carcasses | Wieczorek et al. | 2012 | |
Penicillin | Cabbage, water, environment | Prazak et al. | 2002 |
Dairy farm environment | 2005 | ||
Dairy-based food | Harakeh et al. | 2009 | |
Open air-fish market environment | 2015 | ||
Ready to eat vegetables | 2015 | ||
Rifampicin | Dairy farm environment | 2005 | |
Environment | Conter et al. | 2009 | |
Foodstuffs and processing | Conter et al. | 2009 | |
Poultry meat | Alonso-Hernando | 2012 | |
Rifampin | Cabbage, water | Prazak et al. | 2002 |
Dairy farm environment | 2005 | ||
Streptomycin | Cabbage, water | Prazak et al. | 2002 |
Poultry carcasses | Antunes et al. | 2002 | |
Dairy farm environment | 2005 | ||
Open air-fish market environment | 2015 | ||
Tetracycline | Pork sausage | 1996 | |
Retail foods | 2001 | ||
Cabbage, environment | Prazak et al. | 2002 | |
Dairy farm environment | 2005 | ||
Human and food origins | Bertrand et al. | 2005 | |
Foodstuffs and processing environment | Conter et al. | 2009 | |
Dairy-based food | 2009 | ||
Raw meat and retail foods | Pesavento et al. | 2010 | |
Pork cheek, surface (beef processing plants) | Granier et al. | 2011 | |
Raw chicken and RTE chicken | 2011 | ||
Bovine hides, carcasses | Wieczorek et al. | 2012 | |
Ducks | Adzitey et al. | 2013 | |
Open air-fish market environment | 2015 | ||
Tobramycin | Pork sausage | 1996 | |
Cabbage, environment | Prazak et al. | 2002 | |
Trimethoprim-ulfamethoxazole | Cabbage, water | Prazak et al. | 2002 |
Dairy farm environment | 2005 | ||
Meat products | Yucel et al. | 2005 | |
Dairy-based foods | 2009 | ||
Poultry meat | Miranda et al. | 2009 | |
Open air-fish market environment | 2015 | ||
Vancomycin | Dairy-based foods | 2009 | |
Foodstuffs and processing | Conter et al. | 2009 | |
Raw meat and retail foods | Pesavento et al. | 2010 | |
Environment | Pesavento et al. | 2010 | |
Open air-fish market environment | 2015 |
RTE: Ready-to-eat food
2. Therapeutic regimens and mechanisms of antibiotic resistance in Listeria
Antimicrobial resistance of Listeria spp. is considered as one of the major health problems for management of the outbreaks and the human illnesses. β-lactams (penicillin and ampicillin) alone or combined with an aminoglycoside (e.g. gentamicin), sulfamethoxazole in patients with allergy to penicillin, vancomycin is patients with bacteremia, erythromycin in infected pregnant women, and rifampicin, TET, chloramphenicol, and fluoroquinolones are among general antibiotics that are prescribed for listeriosis. The majority of Listeria spp. are sensitive to these antibiotics (Troxler et al., 2000 ▶). However their exposure to pH, cold and salt stresses, could increase their resistance property. Ability of Listeria spp. for biofilm formation, expression of efflux pumps (that could confer resistance to fluroquinolones), carriage of mobile genetic elements (such as tet families that originated from Enterococcus) are among main known causes of antibiotic resistance (Olaimat et al., 2018 ▶). Two major efflux pumps, i.e., MdrL and Lde, exist in almost all L. monocytogenes serotypes. The MdrL pumps detoxify macrolide, cefotaxime, heavy metals and EtBr. The Lde pump detoxifies fluoroquinolone antibiotics and an intercalating dye such as EtBr and acridine orange (Mata et al., 2000 ▶).
Currently, the most common therapeutic strategies for the treatment of listeriosis is administrating penicillin or ampicillin along with aminoglycosides (Swaminathan et al., 2007 ▶). Listeria species are naturally resistant to cephalosporin, fosfomycin, first generation of quinolone and sulfamethoxazole (Troxler et al., 2000 ▶; Conter et al., 2009). Administering other antibiotics like vancomycin, trimethoprim, sulfamethoxazole, rifampicin has been reported in various studies (Srinivasan et al., 2005 ▶). There are reports showing that L. monocytogenes can be resistant to antimicrobial agents such as penicillin, ampicillin, TET, streptomycin, clindamycin, oxacillin, and vancomycin (Troxler et al., 2000 ▶; Conter et al., 2009). Resistance to various antibiotics is the major concern of public health, since the percentage of infection due to L. monocytogenes is increasing regardless of improvement in the production process of food and milk (Hansen et al., 2005). The antimicrobial resistance is mostly seen in animals rather than humans. The first report of antibiotic-resistant of L. monocytogenes was reported from France in 1988 and since then it has been reported frequently (Antunes et al., 2002).
3. Role of other bacteria in the emergence of resistance Listeria strains
There is evidence about the transmission of plasmid pIP501 through conjugation mechanism from Streptococcus agalactiae to L. monocytogenes. This plasmid confers resistance to chloramphenicol, macrolides, lincosamides, and streptogramins. The transmission of other plasmids, such as pAMβ1 from Enterococcus faecalis that confers resistance to erythromycin, pIP823 from E. faecalis and E. coli to L. monocytogenes was reported. In addition, transfer of vanA gene cluster from E. faecium and transfer of resistance to erythromycin from lactic acid bacteria by conjugation were demonstrated in various studies. Transmission of a transposon, tn916 harboring tetA gene, from E. faecalis to L. innocua which confers resistance to TET, was also demonstrated (Flamm et al., 1984 ▶; Charpentier et al., 1995).
Conclusion
Despite many achievements in developed countries, mainly in public health, food safety, administration of health promoting programs, and improvements in the laboratory diagnostics methods, L. monocytogenes remain as the major challenge in food industries. This bacterium could survive under an adverse environmental condition and overcome various types of stress like heat inactivation and could persist for a long time in food industry by attaching to food-contact surface, hence, application of good manufacturing practice (GMP) in food industries, such as improvement in food products, methods of storage, shipping and handling along with application of food safety training program, especially for food industry employees and staff in restaurant or distribution centers, should be taken into consideration. Moreover, hazard analysis critical control point (HACCP) system should be applied in each food processing step in order to ensure safe production of food, including the steps for processing of raw materials, storage and transportation. It should be noticed that L. monocytogenes has a high rate of mortality and it could be tuned into viable but non-culturable state in the undesirable condition. This form of the bacterium is present in food products, but is chemically inactive and cannot be detected in the culture media. Hence, an improvement in detection methodology and data about routes of its transmission, and resistance mechanisms to antibiotics is an urgent need to prevent its spread and control diseases caused by this bacterium in humans and animals.
Acknowledgements
This study is related to the project No. 1396/50130 from Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran. We also appreciate the “Student Research Committee” and “Research & Technology Chancellor” in Shahid Beheshti University of Medical Sciences for their financial support of this study.
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