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Article

Phenotypic and Genotypic Characteristics of Non-Hemolytic L. monocytogenes Isolated from Food and Processing Environments

Department of Applied Microbiology and Human Nutrition Physiology, Faculty of Food Science and Fisheries, West Pomeranian University of Technology, Papieża Pawła VI 3, 71-459 Szczecin, Poland
Foods 2023, 12(19), 3630; https://doi.org/10.3390/foods12193630
Submission received: 7 September 2023 / Revised: 25 September 2023 / Accepted: 27 September 2023 / Published: 30 September 2023

Abstract

:
Increasingly, Listeria monocytogenes (LM) with atypical phenotypic and genotypic characteristics are being isolated from food, causing problems with their classification and testing. From 2495 soil, food, and swab samples from the food industry, 262 LM isolates were found. A total of 30 isolates were isolated, mainly from soil and plant food, and were classified as atypical LM (aLM) because they lacked the ability to move (30/11.4%) and perform hemolysis (25/9.5%). The isolation environment affected aLM incidence, cell size, sugar fermentation capacity, antibiotic sensitivity, and the number of virulence genes. Therefore, despite several characteristics differentiating all aLMs/non-hemolytic isolates from reference LMs, the remaining phenotypic characteristics were specific to each aLM isolate (like a fingerprint). The aLM/non-hemolytic isolates, particularly those from the soil and meat industries, showed more variability in their sugar fermentation capacity and were less sensitive to antibiotics than LMs. As many as 11 (36.7%) aLM isolates had resistance to four different antibiotics or simultaneously to two antibiotics. The aLM isolates possessed 3–7 of the 12 virulence genes: prfA and hly in all aLMs, while iap was not present. Only five (16.7%) isolates were classified into serogroups 1/2c-3c or 4a-4c. The aLM/non-hemolytic isolates differed by many traits from L. immobilis and atypical L. innocua. The reference method of reviving and isolating LM required optimization of aLM. Statistical analyses of clustering, correlation, and PCA showed similarities and differences between LM and aLM/non-hemolytic isolates due to individual phenotypic traits and genes. Correlations were found between biochemical traits, antibiotic resistance, and virulence genes. The increase in the incidence of atypical non-hemolytic LM may pose a risk to humans, as they may not be detected by ISO methods and have greater antibiotic resistance than LM. aLM from LM can be distinguished based on lack of hemolysis, motility, growth at 4 °C, ability to ferment D-arabitol, and lack of six specific genes.

1. Introduction

Food-borne listeriosis is one of the most serious and severe food-borne diseases (with a high 30% rate of death) caused by the bacteria L. monocytogenes. In the U.S., increasing listeriosis was reported from 8 cases in 2018 to 53 cases in 2022, while 30% of the population of the EU experienced 120 cases of illness in 2020 [1]. L. monocytogenes is the fifth most common cause of food poisoning in the EU (2621 cases, of which 300 cases resulted in death), making L. monocytogenes the leading cause of food-borne fatality in Europe [2]. The most common implicated food vehicles for the strong-evidence listeriosis food-borne outbreaks were fish and fish products, ice-cream, sausages and cooked meat, fresh and ripened cheeses, fresh salads and mushrooms, and hard-boiled eggs. Currently, 29 species of Listeria spp. are known, of which only L. monocytogenes is classified as pathogenic to humans and L. ivanovii to animals [3,4]. Among 13 recognized serotypes of L. monocytogenes, only 4 are of significant public concern, with 3, 1/2a, 1/2b, and 4b, being responsible for over 95% of invasive listeriosis cases [5,6]. Most of the sporadic cases and outbreaks are associated with strains of serotype 4b, while isolates classified to serotypes 1/2a and 1/2c are more often isolated from food and environmental samples [7,8]. In addition, atypical L. monocytogenes serotype IV b-v1 isolated from the food production environment has been increasingly described [9].
L. monocytogenes is a widespread microorganism in nature, found in a wide range of animals and plants, as well as in sewage sludge, soil, and aquatic environments. Depending on the environment, aLM may acquire genes with resistance to various external agents, including antibiotics, heavy metals, or plant protection products [10].
L. monocytogenes is a Gram-positive, catalase-positive, and oxidase-negative bacillus, mobile at 25 °C; it ferments rhamnose but not xylose, is hemolysis-positive and shows a positive result against Staphylococcus aureus in the CAMP test [11]. However, as early as 25 years ago, four LM isolates were isolated from red-smear and mold-ripened soft cheeses. These isolates were found to lack hemolysis and/or motility [12] and were thus named atypical LM (aLM). All classical biochemical tests and genetic techniques failed to identify these isolates as L. monocytogenes species. Nevertheless, 16rRNA sequence analysis showed them to be 94% homologous to LM, closer than that between Listeria spp. and Brochotrix spp. In recent years, there have been an increasing number of reports of aLM in various environments showing no or very weak hemolysis but otherwise possessing the biochemical and genetic characteristics typical of L. monocytogenes species [13]. Non-hemolytic L. monocytogenes are most commonly isolated from food products, but some have also been detected in clinical samples [14].
Despite the rapid development of modern identification methods such as MALDI-TOF and DNA sequencing, these methods are expensive and still not widely available, so phenotypic traits are recommended in ISO methods. Although there are several publications on non-hemolytic LM, none provide many samples together with in-depth analysis of phenotypic traits and data on the correlation between the isolation environment and morphological, biochemical, and genetic traits. Despite the use of L. monocytogenes as a model organism, there is great interest in studying these bacteria due to the increasing number of listerioses in the USA and Europe. Therefore, the aim of this study was to isolate non-hemolytic LM from different foods and environments, conduct an in-depth analysis of phenotypic traits, and determine the relationship between isolation environment, morphology, biochemical characteristics, antibiotic sensitivity, and pathogenic potential.

2. Materials and Methods

2.1. Samples

In Poland, 2495 samples were tested between 2009 and 2019: soil (n = 1000), fruit (n = 160), vegetables (n = 210), ready-to-eat (RTE) food (n = 425), meat (n = 400) and fish raw materials (n = 80), salad ingredients (n = 120), and swabs from the fish/meat processing lines (n = 100) (Table 1). Soil samples were collected in 2010–2018 in two seasons, spring (March–May) and autumn (September–November), from a 250 km2 area of the West Pomeranian “Voivodship” in Poland. In selecting soil sampling sites for testing, the criteria that were taken into account were type of land fertilization, degree of human use (determined by interviewing farmers and fruit growers), and the possibility of taking fruit and vegetables from the same sites from which the land was sampled. Table 1 shows the types of soil samples. A sample of 25 g of soil was taken with a corkscrew to a depth of 10 cm and transported to the laboratory in a sterile bag. Fruits and vegetables were collected from the same locations as the soil samples (Table 1) and placed in sterile bags. RTE foods: dumplings (200), croquettes (60), salads (30), sandwiches (10), fish products (45), sprouts (15), sushi (40), desserts (210), carrot (20), carrot juices (20), and ingredients of salads and desserts (263) were purchased from various retail outlets (Table 1). RTE foods and individual salad/dessert ingredients originated from the same batch. The foods and ingredients were supplied by 13 different producers with processing plants located in the West Pomeranian Region of Poland immediately after being manufactured and stored at 4 °C (according to the producer’s recommendation). The detailed breakdown and characterization of 262 LM isolates are provided in RTE food studies [15]. Swabs were taken randomly from different locations within one meat plant (n = 50) and one fish plant (n = 50) (Table 1). A 25 cm2 area bound by a template was swabbed with a sterile AMIESA transport swab (Meus, Italy) moistened with sterile 0.85% NaCl and transported to the laboratory at 4 °C [10].

2.2. Reference Strains

The following were used as reference L. monocytogenes strains: 1/2a (ATCC 19111), 1/2b (CIP 7832), 1/2c (ATTC 10112), 3a (ATCC 19113), 3b (CIP 7836), 4a (ATCC 19114), 4b (ATCC 13932), 4c (ATCC 19116), 4d (ATCC 19117), 4e (ATCC 19113), and 7 (NCTC 10890), in addition to Staphylococcus aureus (ATCC13565), Streptococcus pneumoniae (ATCC 49619), and Rhodococcus equi (ATCC 25729). The reference strains were used for each test as a positive control during biochemical identification, serogrouping, the gene virulence test, and the antibiotic resistance test.

2.3. Isolation and Identification of L. monocytogenes

L. monocytogenes were isolated and identified from soil, foods, and swabs according to ISO 11290-1 [11]. In addition, a growth assay at 4 °C was performed, and growth on OCLA (Oxoid Chromogenic Listeria Agar, Oxoid, Basingstoke, Hampshire United Kingdon) and RAPID ’L.mono (BioRad, Hercules, CA, USA) was determined. Rapid ‘L. mono medium was used for the identification of L. monocytogenes and Listeria sp. without confirmation by other methods in accordance with ISO 16140-2:2016 [16]. In addition, OCLA medium is an alternative medium of similar composition to ALOA described in ISO 11290-1 [11]. The motility of LM i aLM was determined on the motility medium (BTL, Łódź, Poland) and the observation of bacterial motility was carried out under a microscope (NIKON, Eclipse E600, Tokyo, Japan) in a drop-hanging preparation [11]. The following biochemical tests were performed: Voges–Proskauer, Methyl-Red, and Nitrate Reduction. Bacterial cell size was measured in a Gram-stained slide under a 0.1 µm light microscope (NIKON, Eclipse E600, Tokyo, Japan). The hemolysis test was performed according to ISO 11290-1:2017 [11]. If the morphological and physiological characteristics were indicative of Listeria spp., blood agar plates (Oxoid with 5% dehydrated sterile sheep blood) were inocualted and incubated for 24 h at 30 °C. A zone of translucence around the colony was considered a positive result. Sugar fermentation was determined on microplates by adding 100 µL of BHI Broth, 20 µL of test sugar solution (Table 4) and 10 µL of bacterial culture, followed by incubation for 5 days at 37 °C [11]. The CAMP test was performed on Blood Agar Base (Oxoid, Basingstoke, Hampshire, United Kingdon) with 5% dehydrated sterile sheep blood (Proanimali, Wrocław, Poland) performed on line cultures according to ISO11290-1 of S. aureus (ATCC13565), R. equi (ATCC 25729), and aLM test strains [11]. On the basis of the Gram-stained preparation, motility, catalase, and oxidase capacity, Listeria sp. genus membership was determined, while hemolysis, CAMP tests, carbohydrate degradability, Voges–Proskauer, Methyl-Red, and Nitrate Reduction determined species-specific classification.

2.4. Storage and Revival of Reference LM Strains and aLM Isolates

Reference strains and aLM isolates were stored at −80 °C using a cryobank (Mast Diagnostica GmbH, Reinfeld, Germany). To revive reference strains of L. monocytogenes, BHI Broth medium (Scharlau, Barcelona, Spain) was used in which a bead of cryobank was placed, incubated for 48 h at 37 °C, sieved onto LSA medium, and incubated for another 48 h at 37 °C. For the revival of aLM isolates, the modification method described in a patent was used [17]. Briefly, the cryobank bead was placed in BHI Broth medium with 5% defibrinated sterile sheep blood (Proanimali, Wrocław, Poland) and incubated for 48 h at 37 °C, followed by a reduction culture on LSA medium (Oxoid, Basingstoke, Hampshire United Kindon) and incubation for 72 h at 37 °C. Finally, the resultant culture was screened on Blood Agar Base with 5% defibrinated sheep blood and incubated for 48 h at 37 °C, from which biochemical and genetic tests were performed.

2.5. DNA Isolation

LM reference bacteria grown 24 h at 37 °C in BHI Broth medium were centrifuged (5 min, 12,000 rpm). DNA was isolated from the bacterial pellet using the Genomic Mini AX Bacteria+ kit (060-60M, A&A Biotechnology, Gdynia, Poland) according to the manufacturer’s protocol. In the case of atypical non-hemolytic LM, an in-house modification described in a patent was used [17]. Briefly, aLM were cultured for 48 h in BHI Broth medium containing 5% defibrinated sterile sheep blood to achieve the higher bacterial precipitate mass required for isolation. During DNA isolation, the hydrolysis step was performed using a combination of available lysozyme, mutanolysin, and proteinase K in a ratio of 10:10:20 at 37 °C, which increased the DNA concentration (ng/µL) and 260/280 purity (Nano Drop ND1000, Thermo Fisher Scientific, Wilmington, DE, USA).

2.6. Multiplex PCR Molecular Serotyping

All isolates were classified via multiplex PCR using twelve primers for the genus Listeria spp. for the species L. monocytogenes. Based on molecular analyses, L. monocytogenes were classified into four lineages, with most isolates belonging to lineages I (serotypes 1/2b, 3b,3c, and 4b) and II (serotypes 1/2a, 3a, and 1/2c) [5]. Furthermore, the serotypes were also distinguished into molecular PCR-based serogroups: II.a (with serotypes 1/2a and 3a), IIb (1/2b and 3b), IIC (1/2c and 3c), and IVb (4b, 4d, and 4e) [18]. A list of primers and multiplex PCR reaction conditions is shown in Table 2.

2.7. Gene Virulence and Specific Gene for L. monocytogenes

Eleven virulence genes were determined: hly, iap, prfA, inlA, inlB, inlC, inlJ, plcA, plcB, IIsx, and actA, and 3 specific genes for L. monocytogenes: mpl, LMOf 2365_0970, and LMOf 2365_2721. A list of primers and PCR reaction conditions is shown in Table 2.

2.8. Electrophoresis of Multiplex PCR and PCR Reaction Products

PCR reaction products obtained during the determination of serotypes and virulence genes having a volume of 8 µL including 6X Loading Buffer TriDye (A&A Biotechnology, Gdynia, Poland) were separated electrophoretically under standard conditions (5 V/cm) on a 2% agarose gel (MAXIMUS, Łódź, Poland). The gel was stained with 4 µL of Midori Green Advance DNA Stain (MG04, Genetics, Düren, Germany) in 1X TBE buffer (10X TBE buffer A3945,1000, A&A Biotechnology, Gdynia, Poland), observed under UV light, and archived (GelDoc, BioRad, Hercules, CA, USA). Product size was compared with the mass marker M100-1000 (MR 65, A&A Biotechnology, Gdynia, Poland).

2.9. Antibiotic-Resistant L. monocytogenes

Antibiotic-resistance testing was performed using the Kirby–Bauer method on Mueller–Hinton medium with 5% dehydrated horse blood and 20 mg/L β-NAD + (MH-F Broth) [29,30]. Fourteen antibiotics were used, spanning 10 groups as per the WHO [18] classification: ampicillin (AMP, 10 µg), cephalothin (CET, 30 µg), chloramphenicol (CHL, 30 µg), ciprofloxacin (CIP, 5 µg), clindamycin (CLI, 2 µg), erythromycin (ERY, 15 µg), gentamicin (GEN, 10 µg), kanamycin (KAN, 30 µg), mezlocillin (MEZ, 30 µg), penicillin (PEN, 5 µg), rifampicin (RIF, 5 µg), streptomycin (STR, 25 µg), tetracycline (TET, 30 µg), and vancomycin (VAN, 30 µg). Plates with antibiotic discs were incubated for 18 h at 34 °C. Zones of inhibition of bacterial growth were measured in mm with a ruler (HiAntibiotic ZoneScale, Mumbai, India) and the strains were classified as susceptible, with reduced susceptibility, or resistant, following the criteria of the European Committee on Antimicrobial Susceptibility Testing for L. monocytogenes [30].

2.10. Statistical Analysis

The reported data are average values from triplicates. The significance of differences was identified using a post hoc Tukey’s test of honestly significant differences (p < 0.05). Analyzing so many cases and variables required using several statistical methods. Principal component analysis (PCA) and cluster analysis, e.g., a dendrogram (Ward’s method, Euclidean distances), were used to investigate correlations, as well as to classify samples and morphometric, biochemical, and genetic characteristics. All statistical analyses were performed using Statistica 13.3 (Statsoft, Tulsa, OK, USA).

3. Results and Discussion

3.1. Isolation Environment of Non-Hemolytic L. monocytogenes

From 2495 samples, 262 (10.5%) L. monocytogenes (LM) isolates were isolated, of which 30 (11.5% of 262) were classified as atypical LM (Table 1). Atypical isolates were the most numerous (12 isolates; 40.0%) in samples from land: arable land fertilized with chicken or cattle manure (n = 4), allotment gardens fertilized with manure (n = 2), grassland during intensive grazing of dairy cattle (n = 2), forest hunting perimeter (n = 2), and land in front of a raw material receipt room at a meat plant (n = 2). The season of soil sampling did not affect the occurrence of LM and aLM [31]. These are followed by 11 (36.7%) aLM isolates obtained from vegetables and 3 (10.0%) obtained from fruits that grew in the soils from which LM and aLM were isolated (Table 1). The occurrence of LM in hard-to-reach areas on the production line equipment could be related to biofilm formation, lack of proper hygiene, and the use of an inefficient cleaning and disinfection program in the plant [32,33,34,35]. A further three aLM isolates were isolated from swabs from the production line: the door seal on the production floor, the conveyor belt to the pasteurizer, and the pasteurizer roller. Only one aLM isolate was obtained from RTE food, specifically meat dumplings (Table 1). It is likely that the presence of LM in cultivated soil, vegetables, fruit, and the forest district came from manure and animal droppings [36,37], whereas the presence of LM in the soil in front of the meat plant was associated with the transfer of bacteria on workers’ shoes (data not shown). In a study, Szymczak et al. [15] showed that LM occurred most in croquettes, dumplings, salads, and fish RTE food. Thus, a positive incidence correlation between LM vs. aLM can be seen only for plant foods (organic fertilizers) and meat processing. L. monocytogenes is a common threat to the production environment because it is hardly enough to occur in soils with antibiosis of the soil microbiome [38,39], prophage infection [40], and abiotic stress [38,41]. L. monocytogenes can also survive in the food production environment for many months and lead to cross-contamination [42] during dumpling production [15] or other processed foods [12]. Despite many publications describing the occurrence of LM in soil [43], processed food, in animals and their habitat [13], and clinical specimens from humans and animals [44,45], there is no information on the occurrence of aLM in soil.

3.2. Phenotypic Characteristics

All of the non-hemolytic isolates lacked motility (a generic trait of Listeria spp.) in contrast to reference LMs (Table 3). The same pattern was reported in other studies [46,47]. In this study, the lack of phenotypic motility was confirmed in all aLM isolates by the absence of the motility-related gene flaA (Similar findings were obtained for aLM isolates from cheese [12]. All tested non-hemolytic LM failed to grow at 4 °C in contrast to the LM reference strains. In contrast, growth at 30 and 37 °C was shown by all reference strains and non-hemolytic LM isolates (Table 3). Similar results were obtained by Orsi and Wiedmann [46], who proposed that Listeria bacteria with unique characteristics for movement and growth at different temperatures should be classified into the genus Mesolisteria. The ability to perform β-hemolysis is a defining phenotypic indicator for LM species, which distinguishes them from L. innocua. Twenty-five of the aLM isolates (83.3%) were found to lack hemolytic ability (Table 3). These included 12 isolates from the soil, 3 from line swabs, 3 from strawberries, 4 from beetroot, 2 from sprouts, and 1 from meat dumplings. The remaining five aLM isolates had the capacity for hemolysis but no ability to move. Maury et al. [48] also noted that non-hemolytic strains were slower to grow at 37 °C. The lack of hemolytic ability in aLM should not indicate a lack of pathogenic potential, as Lindback et al. [49] showed that non-hemolytic LM introduced at 109 CFU into the liver of mice caused the death of 60% of individuals. L. monocytogenes has a sigB and prfA regulatory system to detect the changing environment and implement survival mechanisms to overcome the diverse, often unfavorable, conditions for this bacterium, but it also has the ability to transition from a harmless saprophyte to a pathogen [50]. Therefore, an additional study should test how the occurrence of non-hemolytic aLM may also be a consequence of prfA/sigB gene mutations and/or is a result of environmental stress.
In the CAMP test, all 12 aLM isolates from the soil were positive against S. aureus despite negative hemolysis (Table 3). In contrast, of the 18 aLM isolates from food and swabs, only 8 showed a positive CAMP result, including 5 isolates capable of hemolysis. Bhalla et al. [44] also obtained negative results from both CAMP and hemolysis tests when investigating clinical LM isolates. On the other hand, there is no information in the literature regarding LM isolates showing both a positive CAMP test and a negative hemolysis test. Results also showed that the identification of non-hemolytic LM on the basis of biochemical indicators (Table 3), which are typical of L. monocytogenes species [51,52], provided a false negative result, which is a risk for humans, as these isolates may have pathogenic potential. Mafuna et al. [53] showed that non-pathogenic L. innocua isolated from the environment in South Africa developed three or more pathogenicity traits, including CRISPR CAS-type adaptive immune systems. Non-hemolytic LM are most commonly found in food products and food processing environments. In contrast, an LM isolate from pet food was characterized as lacking β-hemolytic isolates and belonged to serotype 1/2a [54].
The average bacterial cell size of the LM reference strains was 2.8 µm (Table 3), which is consistent with the results of Ludwig et al. [52]. For aLM, the cell size ranged from larger (3.0–3.2 µm for the six isolates from manure-fertilized soil) to smaller (2.6 µm for isolates from other soil samples, 2.6 µm from fruit and vegetables, and 2.5 µm from line swabs and 2.0 µm from RTE food) compared to LM reference strains (Table 3). In turn, non-hemolytic aLMs were smaller in size in 18 cases and larger in size than standard LMs in 7 cases. Halter et al. [51] showed that a bacterial cell size from 2.8 to 3.2 µm was characteristic of L. rocourtiae and L. weihenstephanensis. Most studies on atypical non-hemolytic LM do not include information on bacterial cell size and do not link this characteristic to the capacity for hemolysis. However, the results presented here clearly indicate that the size of aLMs varies, which may be due to the abundance of nutrients in the environment, the growth rate of the bacterial cells, genomic and metabolic improvements, and other factors [55]. Results showed that the largest non-hemolytic aLM cells came from nutrient-rich manure soil, in contrast to the smaller-sized bacteria from non-manured soil or vegetables. It was observed that typical growth of LM reference strains on LSA, RAPID’L.mono, and ALOA media occurred after 48 h of incubation, whereas atypical non-hemolytic LM growth occurred after 72 h, which was probably due to the adaptation of atypical non-hemolytic LM to different environments. Therefore, the method described in the previous section concerning the modification of proliferation with the addition of blood enriched the medium with nutrients and allowed aLM to grow at a similar rate as LM. The hemolytic aLMs had similar biochemical characteristics to the reference LMs, except for growth at 4 °C. In addition, three isolates (B68, KS68, and P54) grew on RAPID’L.mono medium in the form of white colonies typical of L. innocua (Table 3).
The dendrogram divided the atypical isolates and reference strains into five groups (A–E) in terms of phenotypic characteristics (Figure 1A). The LM reference strains formed a separate group that was the furthest away (by 21 units) from the other groups of aLM isolates. The most similar phenotypic traits were in groups B and C (only four units different), consisting mainly of isolates from soil, sprouts (RS29), and strawberries (T8). Least dissimilar from the reference strains was group E, representing four isolates from beetroot (B15, B16, B54, and B56), two from strawberries (T16 and T18), one from dumplings (D20), and two from production line swabs (SW1 and SW2).

3.3. Ability to Ferment Sugars

L. monocytogenes can ferment rhamnose, have no ability to ferment xylose and, depending on the serotype (1/2a, 1/2b, 3b, 4c, and 7), ferment mannitol [11]. LM reference strains were also found to ferment galactose, glucose, lactose, methyl-L-D-glucoside, and sucrose, but not D-arabitol, arabinose, glucose-1-phosphate, ribose, sorbitol, D-tagatose, and D-xylose (Table 4). Thus, LM reference strains were able to ferment 6–7 of the 14 sugars tested simultaneously, while atypical non-hemolytic LM fermented between 5 and 11 sugars simultaneously. Each of the 14 sugars tested was degradable by at least one aLM, which was not the case for the LM reference. All atypical non-hemolytic LM isolates fermented D-arabitol and rhamnose (Table 4). Methyl-L-D-glucoside was fermented by 28 isolates; ribose, glucose, and glucose-1-phosphate by 17–20 isolates; lactose and sucrose by 12 isolates; D-tagatose and D-mannitol by 3–4 isolates; galactose, arabinose, and sorbitol by only 1–2 isolates (Table 4). Isolates 111 (11 sugars), SW1 (9), 281, 288, and 140 (8 sugars) fermented the most types of sugars, in contrast to isolates 112, B67, B68, CA11, and SW3, which fermented only five sugars (Table 4). The two atypical LM isolates (11 and SW1) that fermented the most types of sugars were also able to degrade two of the three least-fermented sugars. The isolates from soil had the richest amylase apparatus, while the other isolates, mainly those from vegetables, had the most modest fermentation (energy acquisition) ability. The results confirm that Listeria, especially from soil, can utilize multiple carbon sources (a trait attributable to its large number of carbohydrate transporters), which may influence virulence gene expression [56]. It was observed that aLM isolates gained the ability to ferment additional sugars mainly at the expense of the ability to ferment galactose and/or sucrose by sacrificing galactose and/or sucrose fermentability to a level inferior to the reference LM (Table 4). Gasanov et al. [57] reported that the identification of non-hemolytic LM should be based on differences in the fermentation of certain sugars, even though biochemical identification markers are sometimes difficult to interpret as color reactions can be ambiguous. On the other hand, Jarvis et al. [58] proposed that aLM-fermented sugars should be used as a component of the culture medium, which promotes and improves the growth of aLM while increasing the detection of LM.
Table 4. Sugar fermentation ability by reference strains and atypical L. monocytogenes isolates.
Table 4. Sugar fermentation ability by reference strains and atypical L. monocytogenes isolates.
SampleD-arabitolArabinoseGalactoseGlucose-1-PhosphateGlucoseLactoseD- MannitolMethyl-L-D-GlucosideRhamnoseRiboseSorbitolSucroseD -TagatoseD-Xylose
1/2a+++++++
1/2b+++++++
1/2c++++++
3a++++++
3b+++++++
3c++++++
4a++++++
4b++++++
4c+++++++
4d++++++
4e++++++
7+++++++
112+++++
245++++++
273++++++
275++++++
280++++++
281++++++++
288++++++++
324++++++
352+++++++
69++++++
111+++++++++++
140++++++++
B15++++++
B54++++++
B56++++++
B16++++++
RS26++++++
RS29++++++
B67+++++
B68+++++
D20++++++
KS68++++++
T8++++++
T16+++++++
T18++++++
CA11+++++
P54++++++
SW1+++++++++
SW3+++++
SW10++++++
“+”—presence of the tested trait; “−“—no survey trait.
Five aLM isolates (B67, B68, KS68, CA11, and P54) with the characteristics of L. innocua on chromogenic media were hemolyso-positive, not motile, rhamnose fermentable, xylose-positive (B67, B68, and CA11), mannitol-negative, CAMP-S. aureus-positive, CAMP-R. equi-negative, and had one gene belonging to the LIPI-1 pathogenicity island and the LM-specific gene LMOf2365_2721 (Table 3, Table 4 and Table 5). Johnson et al. [59] found that the atypical L. innocua isolate was also hemolyso-positive but motile; non-fermentation of rhamnose, xylose, and mannitol was also observed, along with six genes belonging to the LIPI-1 pathogenicity island. Additionally, Moura et al. [60] described atypical L. innocua hemolyso-positive isolates that had six genes belonging to the LIPI-1 pathogenicity island, but the isolates were motile and did not show data regarding the fermentation of sugars. As a result of differences from other authors, these five atypical LMs cannot be classified as atypical L. innocua.
Statistical grouping divided the reference strains and isolates into four groups (A–D). The reference strains were a separate group A and were the most different from group D (23 units away), which consisted mainly of vegetable-borne isolates (beetroot, kale sprout, radish, and meat dumpling isolates), whose fermentation capacity was limited to D-arabitol, glucose, glucose-1-phosphate, methyl-L-D-glucoside, rhamnose, and ribose (Figure 1B). The reference strains were 17 units away from groups B and C, which were the most similar to each other (only seven units apart). Group B consisted of isolates from soil, vegetables, and fruit, while group C consisted of isolates from soil and the meat plant and were able to ferment the most diverse array of sugars.

3.4. Antibiotic Susceptibility of aLM

LM reference strains, especially 1/2a 1/2b 1/2c, 3a, and 4a, were sensitive to all 14 antibiotics, especially AMP10, ERY15, RIF5, TET30, and PEN10, while CLI2 had the least-pronounced effect on these strains (14.7 mm) (Table 5). The low value of the standard deviation (SD = 2–3 mm) indicates that the antibiotics tested had a similar effect on the reference strains, except for AMP10, PEN10, MEZ30, and ERY15. For aLM isolates, 11 cases (2.6%) of antibiotic resistance were found across the 420 tests: five isolates on CLI2, four isolates on TET 30, and one isolate each on STR25 and PEN10 (Table 5). Resistance to two antibiotics was exhibited by isolates SW3 and KS68, and to one antibiotic by isolates D20, RS26, RS29, B15, 111, 69, and 280. These included isolates from the soil, beet, sprout, and swab. There is no information in the literature on the prevalence of antibiotic-resistant atypical L. monocytogenes. The average antibiotic resistance of aLM was 23.6 mm, lower than the average for the reference strains (25.7 mm). The sensitivity of atypical isolates was the highest to MEZ30, ERY15, AMP10, CHL30, and GEN10 in contrast to the antibiotic CLI2 (14.9 mm). The most variable resistance of atypical isolates was to the antibiotics TET30, CLI2, PEN10, STR25, AMP10, and KAN30, while VAN30, ERY15, and GEN10 had the most consistent effect. There was no significant correlation between aLM antibiotic resistance and the ability to hemolyse, except for a weak correlation (0.387) between non-hemolysis and lowered sensitivity to MEZ30.
Gomez et al. [61] and Osaili et al. [62] showed that 35% of LM isolates isolated from poultry, pork, and beef and 56.4% of isolates from various cheese species were resistant to clindamycin. Thedieck et al. [63] suggested that the increased antibiotic resistance in L. monocytogenes is due to the activation of the antimicrobial peptide sensor system (as the bacterium detects increases in antibiotic concentrations) and that active efflux systems may contribute to Listeria’s adaptation to changing environmental factors. Anthropogenic factors are important in the emergence of new antibiotic resistance in aLM capable of spreading in nature and consequently into food production and food environments [10]. Therefore, continuous monitoring of antibiotic resistance, including aLM isolates, is important due to the potential emergence of CRISPR CAS-type adaptive immune systems [64]. Gentamicin resistance was demonstrated in 4.6% of LM isolates from food, food processing plants, and sick humans in Germany [65] and in 1.2% of isolates from food in China [66]. The possibility of LM acquiring antibiotic resistance may result from the selection of the species with intrinsic or acquired resistance to antibiotics, biocides, and heavy metals in soil and groundwater, as well as natural tolerance to extreme conditions [10].
The dendrogram divided the samples into six groups labeled A–F, with reference strains relegated to A–C (Figure 1C). Groups A and B were the least distant from each other by 10 units, where LM strains were most sensitive to ERY15, AMP10, and MEZ30 and least sensitive to CLI2 and STR25. Group A, in addition to the LM reference strains, also included the three isolates 273, 275, and 352. Group C was 13 units away from groups A–B and consisted of only two samples (3a LM and B68 aLM), which were most sensitive to ERY15, AMP10, MEZ30, and TET30, while most resistant to CLI2 and CIP5. The next groups, D–F, were 17 and 26 units away from A–C, respectively. The sensitivity of groups D–F to some antibiotics (AMP10 and/or MEZ30) was the same as in groups A–C, but high efficacy turned into low sensitivity for the other antibiotics.

3.5. Gene Virulence and Serological Classification

The genes hly, prfA, and iap were present in all LM references, except iap in strains 4a and 4c (Table 6). In contrast, all atypical non-hemolytic LMs, irrespective of origin, possessed the hly and prfA genes, while none possessed the iap gene. LM references showed 10–15 of the virulence genes tested, with serotypes 4a and 4c having the fewest. The atypical non-hemolytic LM isolates possessed only 3–7 virulence genes, with the highest number (6–7 genes) possessed by isolates 273, 288, and B54 from soil, mainly manured or located in close proximity to a meat processing plant, similar to the findings of Soni et al. [67]. Only three virulence genes were present in 15 isolates, including those from soil (5), vegetables (4), fruit (2), dumplings (1), and line swabs (3). Genes encoding internalin (inlA, inlB, inlC, and inlJ) were not present in any aLM, in contrast to the reference LMs (Table 6). This may suggest that aLMs have a lower virulence capacity during intestinal infection, entry into host cells, and adaptation to the intracellular lifestyle [60]. Maury et al. [48] showed that LMs without the capacity for hemolytic activity are rare (0.1%), tend to be hypo- rather than hypervirulent clones, and have reduced virulence. It was observed that hypovirulent LM clones have greater adaptability to food processing environments, having more genes involved in stress resistance and disinfectant tolerance in exchange for fewer virulence genes, in contrast to hypervirulent clones [68]. This may explain in this study the greater diversity of phenotypic traits in atypical non-hemolytic LMs with fewer virulence genes in contrast to reference LMs (Table 6). Maury et al. [68] showed that atypical L. innocua might represent an intermediate evolutionary stage with subsequent loss of virulence genes leading to niche restriction similar to non-hemolytic LM. A trend of gene loss was also demonstrated within the LIPI3 and LIPI-4 regions [59,60]. Quereda et al. [69] concurred that the acquisition and loss of genetic elements provide the traits necessary for LM specialization in an environment or host. It is also possible that the repeated use of only a dozen reference strains in many studies has led to an underestimation of the overall LM biodiversity so that any dissimilarity is now considered atypical. Furthermore, there is still no designated species or typical gene to guarantee the correct identification of LM species.
Of the 30 aLM isolates, only five were classified into a serogroup: isolates 111, 140, and 352 into serogroup 4a–4c, and isolates 273 and 288 into serogroup ½c–3c (Table 6). The remaining aLM were not classified into any serogroup due to the absence of genes ORF2819, ORF2110, lmo0737, and lmo118. Feng et al. [70] showed that atypical non-rhamnose-fermenting LMs belonging to serotype 4h are not identified by PCR serotyping techniques. The present study suggests otherwise, as all atypical non-hemolytic LM isolates were found to ferment rhamnose. For aLM, the prfA gene correlated strongly with sucrose fermentability (0.612, p = 0.000) and weakly with galactose fermentability (0.371, p = 0.043), while the mpl gene correlated strongly with sucrose fermentability (0.480, p = 0.007). The prfA gene correlated strongly with the presence of the mpl gene (0.785, p = 0.000) and moderately with the lmo1118 gene (0.447, p = 0.013) present in serogroup 1/2c-3c. The hemolytic capacity of aLM correlated more strongly with the ORF2819 gene (0.599, p = 0.000) than with ORF2110 (0.415, p = 0.023). In addition, 25 out of 30 aLM isolates had the hly gene but no hemolytic ability and no plcA or inlC genes. Similarly, Moreno et al. [12] isolated aLM from meat and production environments that contained the inlC, hly, and plcA genes, although they showed very weak or no hemolysis.
Out of the 29 known Listeria spp., L. immobilis showed the most similar characteristics to the aLM tested. However, L. immobilis is simultaneously characterized by a lack of motility and hemolysis. Furthermore, as opposed to the tested aLMs, L. immobilis does not grow on BHI Broth at 4 °C, does not ferment L-rhamnose, lacks the ability for PI-PLC activity, and lacks the prfA, hly, and LM-specific gene: LMOf2365_2721. Therefore, despite many similarities, the aLM isolates in this study cannot be classified into the species L. immobilis.
Statistical grouping divided the reference strains and atypical isolates into four groups, A–D (Figure 1D). Group A (with reference strains) differed by 34 units from groups B–D (with aLM isolates). The largest group, B, which included no less than 15 isolates, had three virulence genes. Group C was the least different from group A and consisted of eight isolates (mainly from the soil) possessing 4–7 genes, including the mpl gene. The smallest group, D, contained seven aLM isolates, including four of the five non-hemolytic isolates that possessed four genes each. The most similar aLM isolates were in groups C and D. The presence of the LMOf2365_2721 gene responsible for encoding glycosyl hydrolase, which is a key enzyme for carbohydrate metabolism, was detected in all model LM and aLMs, while only in group B, represented by isolates from soil (273, 288, 352, and 140) and beetroot (B54), was the LMOf 2365_0970 gene (encoding a conserved hypothetical proteinase) confirmed. These genes can be used to detect LM in food and are more specific than hly or prfA genes [24].

3.6. PCA Correlation Analysis

Two correlation analyses were performed, the first of which showed the relationship between the biochemical traits of LM strains and aLM isolates (Figure 2), while the second correlation showed the relationships between all LM and aLM samples tested based on their biochemical and genetic traits (Figure 3).
For the former, the first two principal components (PCs) accounted for 65.33% of the total variance. Many interesting correlations were found (Figure 2), including the ability to move with the ability to grow at 4 °C, the fermentation of galactose, and the occurrence of the genes actA, plcA, inlJ, plcB, and inlA, showing a very strong positive correlation.
The capacity for hemolysis correlates very strongly and positively with prfA, inlB, and mpl genes but strongly and negatively with D-arabitol fermentation. Larger LM cell size shows a positive correlation with greater sensitivity to most antibiotics (especially MEZ30, CET30, AMP10, and PEN10), a negative correlation with CIP5, and no correlation with STR25. On the other hand, the correlations of cell size vs. antibiotics were average, indicating that antibiotic sensitivity also depends on other traits, e.g., the presence of virulence genes, which also correlated on average (max 50%) with antibiotic sensitivity. PCA analysis showed several correlations between the fermentability of different sugars, with positive correlations being sucrose vs. lactose, sorbitol vs. xylose, and ribose vs. glucose-1-phosphate. Negative correlations were found in lactose vs. ribose, galactose vs. D-arabitol, and xylose vs. glucose. There was a positive correlation between LM sensitivity to the antibiotic CIP5 and glucose-1-phosphate fermentability, as well as correlations of RIF5 and TET30 vs. lactose and sucrose. The CAMP test correlated positively with sucrose and lactose fermentability and with TET30, ERY15, and RIF5 antibiotic sensitivity, while it correlated negatively with glucose-1-phosphate, ribose, and CIP5.
PCA analysis divided the references and isolates into two separate oval clusters that align along the vertical axis with a weak slope to the horizontal axis, the slope being for aLM rather than LM (Figure 3). The first two principal components (PCs) accounted for 75.33% of the total variance. The apparent separate alignment of the LM and aLM strains was probably caused mainly by differences in virulence genes and in morphological and biochemical traits (Figure 1A,D), and to a lesser extent by differences in sugar fermentability and antibiotic sensitivity (Figure 1B,C). The group of standards spanned 4.77 units, while the group of isolates spanned 8.15 units (Figure 3), confirming that the group of isolates has more diverse biochemical and genetic characteristics than the group of reference strains. The standards formed three groups (A, B, and C) corresponding to the phylogenetic groups, with the exception of strains 3a and ½b. The isolates also formed three groups (D, E, and F), of which D contained five isolates from strawberry T16, beetroot B68, carrot CA11, and from cattle intensive-grazing meadows (273 and 275). Group E had the largest, with as many as 17 isolates from soil (9 isolates), vegetables (5 isolates), fruit (2 isolates), and swabs (1 isolate). Group F contained eight isolates from kale (KS 68) and radish sprouts (RS 26 and RS29), beetroot (B15 and B56), meat dumplings (D20), and lineage swabs (SW1 and SW3). The analysis showed that reference strains 4a and 4c were most similar to aLM isolates from group E, especially to isolate 69. Among the aLM isolates, isolates 273 and B68 were the most distantly related to B15, RS29, and D20, mainly based on the CAMP test.
Thus, statistical analysis confirmed that tested aLM isolates differ significantly from the reference LM. The greatest differences between LM and aLM are sequentially due to the number of virulence genes, phenotypic characteristics (hemolysis, motility, cell size, etc.), ability to ferment sugars, and antibiotic sensitivity. All aLM are distinguished from LM reference by their lack of hemolysis, motility, growth at 4 °C, ability to ferment D-arabitol, and lack of six specific genes (iap, inlA, inlJ, plcA, plcB, and actA), while for the remaining phenotypic traits, further differences depend on the aLM isolate. For example, aLM isolates in group D (Figure 3) also differ from the reference LM in having a larger cell size, lacking glucose fermentation, and the ability to ferment sorbitol and xylose. In contrast, aLM isolates in group E (Figure 3) differ from LM additionally in the absence of galactose, lactose, and sucralose fermentation, glucose-1-phosphate fermentation, and ribose fermentation. Isolates from soil in group E are less sensitive to antibiotics, especially TET30 and AM10, while isolates from food can be more sensitive to antibiotics, especially CLI2 and CIP5. In contrast, in the case of group F, aLM isolates also differ from LM in having a smaller cell size, a negative CAMP test of S. aureus, and less sensitivity to antibiotics, especially TET30, PEN10, AM10, KAN30, and RIF5. Therefore, phenotypic analysis in the case of aLM is fingerprinting and also allows differentiation of individual isolates.

4. Conclusions

Atypical non-hemolytic LM isolates accounted for more than 10% of LM samples from food production environments. The environment influenced both the frequency of occurrence of atypical non-hemolytic LM and their unique phenotypic traits, indicating that animal/plant farming and food processing may be responsible for the proliferation of atypical non-hemolytic LMs. Atypical LM isolates are characterized by greater diversity (broader scope) in terms of morphology and biochemical characteristics but several times lower number of virulence genes compared with the LM reference strains. These basic phenotypic traits make it possible to distinguish aLM from LM, L. immobilis, and L. innocua, as well as to differentiate between individual aLM isolates. Therefore, in the case of aLM, phenotypic methods constitute fingerprinting. The results showed that the primary distinguishing trait of aLM is the lack of hemolysis, which was very strongly and positively correlated with the prfA, inlB, and mpl genes and strongly negatively correlated with D-arabitol fermentation. According to the three characteristics tested, atypical LM can be divided into three groups: (a) hemolyso-positive and CAMP test against S. aureus positive, (b) hemolyso-negative and CAMP test against S. aureus positive, and (c) hemolyso-negative and CAMP test against S. aureus negative. This study showed a more than 10-fold increase in the prevalence of non-hemolytic LMs compared to other authors’ data. The increase in the incidence of atypical non-hemolytic LM may pose a risk to humans, as they may not be detected by reference methods and have greater antibiotic resistance than LM, even to clindamycin, penicillin, streptomycin, and tetracycline. The standard according to which the isolation and identification of L. monocytogenes is performed should be supplemented by the identification of non-hemolytic LM isolates that may pose a public health risk. The discovered atypical non-hemolytic LM isolates require further study, especially using MALDI-TOF and DNA sequencing and possibly transmitting resistance and pathogenicity traits to other Listeria monocytogenes cells.

Funding

Microbiological and genetic testing of RTE food was supported financially by Grant No. N312 2344 38 funded by the Ministry of Science and Higher Education of Poland. Genetic testing was conducted as part of a project with the National Science Centre of Poland [grant number DEC—2021/05/X/NZ9/00143].

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Any data or material supporting this study’s findings can be made available by the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Dendrogram of reference LMs and atypical LMs, grouped by (A) selected morphological and biochemical characteristics, (B) ability to ferment sugars, (C) antibiotic resistance, and (D) presence of virulence genes. Groups of isolates highlighted in different colours on the dendrograms are indicated by the letters A–F.
Figure 1. Dendrogram of reference LMs and atypical LMs, grouped by (A) selected morphological and biochemical characteristics, (B) ability to ferment sugars, (C) antibiotic resistance, and (D) presence of virulence genes. Groups of isolates highlighted in different colours on the dendrograms are indicated by the letters A–F.
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Figure 2. PCA correlation between biochemical attributes evaluated for LM reference strains and aLM isolates.
Figure 2. PCA correlation between biochemical attributes evaluated for LM reference strains and aLM isolates.
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Figure 3. PCA correlation between LM references and aLM isolates based on the analyzed phenotypic traits and genes. The groups LM references are indicated by A–C letters and groups aLM isolates by D–F letters.
Figure 3. PCA correlation between LM references and aLM isolates based on the analyzed phenotypic traits and genes. The groups LM references are indicated by A–C letters and groups aLM isolates by D–F letters.
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Table 1. Sampling locations and origin of atypical non-hemolytic L. monocytogenes (aLM) isolates.
Table 1. Sampling locations and origin of atypical non-hemolytic L. monocytogenes (aLM) isolates.
EnvironmentalSampling LocationsNumber of Analyzed SamplesCount of LM IsolatesCount of aLM IsolatesaLM Isolate Number
Soil (S)arable soil with natural fertilization (S1)18074245, 280, 281, 288
arable soil artificially fertilized (S2)180
waste soil180
garden plots (S3)18082324, 112
orchards30
meadows354
intensive grazing of cattle50182273, 275
usable meadows50
forest (S4)79202352, 69
area around meat processing plant3692111, 140
Fruitstrawberry from S12031T8
strawberry from S220
strawberry from S32052T16, T18
raspberry from S220
raspberry from S320
blackberry from S440
blueberry from S320
Vegetablesbeetroot from S11054B15, B16, B67, B68
beetroot from S210
beetroot from S31042B54, B56
cabbage from S110
cabbage from S210
cabbage from S310
carrot from S11031CA11
carrot from S210
carrot from S3102
lettuce from S110
lettuce from S210
lettuce from S310
parsley from S1102
parsley from S210
parsley from S3101
potato from S1103
potato from S210
potato from S31021P54
tomato from S110
tomato from S210
tomato from S310
RTE fooddumplings200411D20
croquettes6014
salads4014
sandwiches402
sushi408
salted fish5
smoked fish51
fish paste52
cold marinated fish304
desserts210
vegetable juice402
Meat raw materialspork-shoulder3010
neck of pork305
pork ham308
intestines3012
pork loin307
Fish raw materialsNorwegian salmon4010
trout20
tuna20
Salads ingredientsiceberg lettuce20
kale sprouts2051KS68
radish sprouts2062RS26, RS29
radish203
tomato20
feta cheese20
Swabs in fish plantstunnel for the pasteurizer5
production line floor51
water drainage system5
pasteurizer turbine5
seal in the hall door531SW10
floor drain52
transport box51
pasteurizer52
knife5
floor in the raw material cold store51
Swabs in meat plantspasteurizer belt521SW1
pasteurizer rollers511SW3
seals for cold store doors51
sluice gaskets for the production hall52
knife5
shelf for storing knives after sterilization5
floor drain51
production line floor51
transport box for raw material52
product transport box50
All samplestotal:249526230
Table 2. Primers used for L. monocytogenes virulence genes.
Table 2. Primers used for L. monocytogenes virulence genes.
Target GeneSize of Amplified Product (bp)Primer Sequences (5′–3′)PCR ConditionsReference
prfA274F: GATACAGAAACATCGGTTGGC94 °C—3 min; 36 cycles: 94 °C—40 s, 60 °C—45 s, 72 °C—1,15 min; 72 °C—7 min [19]
R: GTGTAATCTTGATGCCATCAGG
hly456F: GCAGTTGCAAGCGCTTGGAGTGAA95 °C—2 min; 35 cycles: 95 °C—15 s, 59,5 °C—30 s, 72 °C—1,30 min; 72 °C—10 min [20]
R: GCAACGTATCCTCCAGAGTGATCG
iap131F: ACAAGCTGCACCTGTTGCAG95 °C—2 min; 35 cycles: 95 °C—15 s, 58 °C—30 s, 72 °C—1,30 min; 72 °C—10 min [21]
R: TGACAGCGTGTGTAGTAGCA
plcA326F: CTCGGACCATTGTAGTCATCTT95 °C—2 min; 35 cycles: 95 °C—15 s, 62 °C—30 s, 72 °C—1,30 min; 72 °C—10 min [22]
R: CACTTTCAGGCGTATTAGAAACGA
plcB261F: GGG AAA TTT GAC ACA GCG TT94 °C—3 min; 35 cycles: 94 °C—1 min, 62 °C—2 min, 72 °C—1 min; 72 °C—7 min [23]
R: ATT TTC GGG TAG TCC GCT TT
mpl679F: TGATGAAATAAAGGTCCACG94 °C—3 min; 35 cycles: 94 °C—30 s, 60 °C—30 s, 72 °C—40 s; 72 °C—10 min [24]
R: CAAGCCATAATGAACAAACG
actA827F: GCTGATTTAAGAGATAGAGGAACA95 °C—2 min; 40 cycles: 95 °C—10 s, 60 °C—30 s, 72 °C—30 s; 72 °C—10 min [25]
R: TTTATGTGGTTATTTGCTGTC
inlA800F: ACGAGTAACGGGACAAATGC94 °C—2 min; 30 cycles: 94 °C—20 s, 60 °C—20 s, 72 °C—50 s; 72 °C—7 min [26]
R: CCCGACAGTGGTGCTAGATT
inlB884F: TGGGAGAGTAACCCAACCAC94 °C—2 min; 30 cycles: 94 °C—20 s, 65 °C—20 s, 72 °C—50 s; 72 °C—7 min
R: GTTGACCTTCGATGGTTGCT
inlC517F: AATTCCCACAGGACACAACC94 °C—2 min; 30 cycles: 94 °C—20 s, 60 °C—20 s, 72 °C—50 s; 72 °C—7 min
R: CGGGAATGCAATTTTTCACTA
inlJ238F: TGTAACCCCGCTTACACAGTT94 °C—2 min; 30 cycles: 94 °C—20 s, 60 °C—20 s, 72 °C—50 s; 72 °C—7 min
R: AGCGGCTTGGCAGTCTAATA
llsX200F: TTATTGCATCAATTGTTCTAGGG95 °C—3 min; 45 cycles: 95 °C—30 s, 60 °C—1 min, 72 °C—1 min; 72 °C—10 min [27]
R: CCCCTATAAACATCATGCTAGTG
prs370F: GCTGAAGAGATTGCGAAAGAAG94 °C—3 min, 35 cycle: 94 °C—40s, 53 °C—1.15 min, 72 °C—1.15 min;72 °C—7 min[18]
R: CAAAGAAACCTTGGATTTGCGG
ORF2819471F: AGCAAAATGCCAAAACTCGT
R: CATCACTAAAGCCTCCCATTG
ORF2110597F: AGTGGACAATTGATTGGTGAA
R: CATCCATCCCTTACTTTGGAC
lmo0737691F: AGGGCTTCAAGGACTTACCC
R: ACGATTTCTGCTTGCCATTC
lmo1118906F: AGGGGTCTTAAATCCTGGAA
R: CGGCTTGTTCGGCATACTTA
LMOf2365_0970386F: GCTCAGCGGCAAATCAAAC94 °C—3 min; 35 cycles: 94 °C—30 s, 60 °C—30 s, 72 °C—40 s; 72 °C—10 min [24]
R: GGCACTCGCAACAGAAACG
LMOf2365_2721583F: GTTCGTCGGTCCGTGGTA94 °C—3 min; 35 cycles: 94 °C—30 s, 60 °C—30 s, 72 °C—40 s; 72 °C—10 min [28]
R: TTGGCAAGCAAGCAGTTCA
Table 3. Phenotypic and biochemical identification of L. monocytogenes reference strains and atypical isolates.
Table 3. Phenotypic and biochemical identification of L. monocytogenes reference strains and atypical isolates.
SampleCell SizeMobilityGrowth at (°C)β—HemolysisCAMP TestChromogenic MediumEsculin, Voges–Proskauer, Methyl RedNitrate
Reduction
430 and 37S. aureusR. equiOCLA and ALOARapid L. mono
1/2a3.0+++++BHGB+
1/2b2.0+++++BHGB+
1/2c2.8+++++BHGB+
3a2.8+++++BHGB+
3b2.8+++++BHGB+
3c2.7+++++BHGB+
4a2.7+++++BHGB+
4b3.0+++++BHGB+
4c3.0+++++BHGB+
4d3.0+++++BHGB+
4e2.6+++++BHGB+
72.6+++++BHGB+
1123.0++BHGB+
2452.0++BHGB+
2732.5++BHGB+
2753.0++BHGB+
2803.2++BHGB+
2813.0++BHGB+
2883.0++BHGB+
3242.5++BHGB+
3522.5++BHGB+
692.0++BHGB+
1112.0++BHGB+
1403.0++BHGB+
B152.0+BHGB+
B542.5+BHGB+
B562.5+BHGB+
B162.5+BHW+
RS262.5+BHGB+
RS292.5++BHGB+
B672.5+++BHGB+
B683.0+++BHW+
D202.0+BHW+
KS682.0+++BHW+
T82.0++BHGB+
T163.5+BHGB+
T182.8+BHGB+
CA113.2+++BHGB+
P542.8+++BHW+
SW12.5+BHGB+
SW32.5+BHGB+
SW102.5++BHGB+
“+”—presence of the tested trait; “−“ no survey trait; BH—blue with halo; GB—green–blue; W—white; cell sizes that differ by at least 0.1 mm are statistically significant.
Table 5. Antibiotic resistance of reference strains and atypical L. monocytogenes isolates (mm); name abbreviations and concentrations of antibiotics are provided in the Materials and Methods section.
Table 5. Antibiotic resistance of reference strains and atypical L. monocytogenes isolates (mm); name abbreviations and concentrations of antibiotics are provided in the Materials and Methods section.
SampleAntibiotics
GEN
10
STR
25
KAN
30
CHL
30
RIF
5
CET
30
VAN
30
CLI
2
ERY
15
AMP
10
MEZ
75
PEN
10
CIP
5
TET
30
1/2a2523302932283013332831402530
1/2b2021242830292615363332282330
1/2c2723262734282621323927312027
3a2930322625323113384137301837
3b2620262628242618282424212228
3c2318282130262312262728251926
4a2822282428262612323130282130
4b2819252428262410262625252228
4c2220282326242514293031301926
4d2420242128232614282424222125
4e2325202428202815294028242526
72515272526262819312725252024
1122017212821212612302129292027
2452324232322232114302723272224
2732420242927262822313231292228
2752315242627272712263331272327
280332826313120240302531233012
2812317212325232310293128292222
2883122322924162310221930222312
3242321231820142210261917182728
3522220252626242813263028272222
69210232425252315283026271710
111292432252718260272030242715
1402222252626252214322828271729
B15221324232218180281027102325
B543027203122262525283131272820
B561514183022172613322425172327
B163027203122262525283131272820
RS26242713252322212025292723260
RS29262810181323242025192715290
B672832163024252725293229283010
B682830302624322818343938321834
D20262810181323242025192715290
KS6826202824242024028112903030
T82727213132292622242526232125
T162727313025282323212725222022
T182726223228242521283634332927
CA112625312927292721242832232514
P542215202621232320292730171924
SW12529192518232320232117232519
SW324281812242022026292726270
SW102728162723252223273027262928
Table 6. Occurrence of virulence genes in reference to L. monocytogenes and atypical L. monocytogenes and serological classification.
Table 6. Occurrence of virulence genes in reference to L. monocytogenes and atypical L. monocytogenes and serological classification.
SampleVirulence Genes
hlyiapprfAinlAinlBinlCinlJplcAplcBllsXactAmplLMOf
2365_
0970
LMOf
2365_
2721
Serogroup
1/2a+++++++++++++nc
1/2b++++++++++++++nc
1/2c+++++++++++++nc
3a+++++++++++++nc
3b+++++++++++++nc
3c+++++++++++++nc
4a++++++++++nc
4b++++++++++++nc
4c++++++++++nc
4d++++++++++++nc
4e+++++++++++++nc
7++++++++++++++nc
112++nc
245++nc
273+++++1/2c−3c
275++nc
280++nc
281++nc
288+++++1/2c−3c
324++nc
352+++++4a−4c
69+++nc
111+++4a−4c
140+++++4a−4c
B15+++nc
B54+++nc
B56++nc
B16++nc
RS26++nc
RS29++nc
B67++nc
B68++nc
D20+ +nc
KS68++nc
T8++nc
T16++nc
T18++nc
CA11++nc
P54++nc
SW1++nc
SW3++nc
SW10++nc
“+”—presence of the target gene; “−“—absence of the gene; nc—not classified.
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Szymczak, B. Phenotypic and Genotypic Characteristics of Non-Hemolytic L. monocytogenes Isolated from Food and Processing Environments. Foods 2023, 12, 3630. https://doi.org/10.3390/foods12193630

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Szymczak B. Phenotypic and Genotypic Characteristics of Non-Hemolytic L. monocytogenes Isolated from Food and Processing Environments. Foods. 2023; 12(19):3630. https://doi.org/10.3390/foods12193630

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Szymczak, Barbara. 2023. "Phenotypic and Genotypic Characteristics of Non-Hemolytic L. monocytogenes Isolated from Food and Processing Environments" Foods 12, no. 19: 3630. https://doi.org/10.3390/foods12193630

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