Prevalence of L. monocytogenes
The overall prevalence of L. monocytogenes in 221 samples was 22 (9.95%). Of the 86 stool samples, 11 (12.79%) of these were positive for L. monocytogenes which serotypes 1/2a, 1/2b and 4b showed the frequency of 2 (18.18%), 3 (27.27%), and 6 (54.55%), respectively. After stool samples, the highest frequency of listeria was related to placental bits with the number of 7 (3.17%). Out of 53 samples of placental bits, 7 samples were infected, which showed a distribution of 13.21%. Among these serotypes, 4b with the number of 4 samples (57.14%) had the highest distribution, followed by 1/2c, 1/2b, and 1/2a serotypes had a dispersion of 1 (14.29%), 1 (14.29%) and 1 (14.29%), respectively. after stool and placental bits, Vaginal samples, blood, and urine with 0.90%, 0.45%, and 0.45% had the highest density, and 100% of the contamination in blood and urine samples was related to serotype 4b, while in vaginal samples, 50% was related to serotype 4b and 50% of the contamination was due to serotype 1/2a (Table 2).
Table 2
Collected samples and frequency of L. monocytogenes contamination
Clinical specimens
|
Frequency
|
Serovar
|
specimens
|
NO.
|
NO.
Positive
|
%
(in the sample)
|
%
(in the Total)
|
1/2a
(%)
|
1/2b
(%)
|
1/2c
(%)
|
4b
(%)
|
Stool
|
86
|
11
|
12.79
|
4.98
|
2 (18.18)
|
3 (27.27)
|
-
|
6 (54.55)
|
Blood
|
12
|
1
|
8.33
|
0.45
|
-
|
-
|
-
|
1 (100)
|
Urine
|
35
|
1
|
2.86
|
0.45
|
-
|
-
|
-
|
1 (100)
|
Vaginal
|
35
|
2
|
5.71
|
0.90
|
1 (50)
|
-
|
-
|
1 (50)
|
Placental bits
|
53
|
7
|
13.21
|
3.17
|
1 (14.29)
|
1 (14.29)
|
1 (14.29)
|
4 (57.14)
|
Total
|
221
|
22
|
-
|
9.95
|
4 (18.18)
|
4 (18.18)
|
1 (4.55)
|
13 (59.09)
|
Sensitivity To Antibiotics
L. monocytogenes isolates from samples were tested for their antibiotic susceptibility. All 22 bacterial strains isolated from different samples showed 100% resistance to the Folate pathway inhibitor (Trimethoprim/sulfamethoxazole). Following the Folate pathway inhibitor, the highest resistance was observed among the isolated strains against Tetracycline, 20 out of 22 (90.91%) strains were resistant to Tetracycline (Table 3). Of these, 10/22 strains (90.91%) were isolated from stool samples, followed by placental bits, vaginal, urine, and blood samples with values of 6 (85.71%), 2 (100%), and 1 (100%) respectively. Out of 22 isolates from samples, 15 (68.18%) were resistant to Aminoglycosides (Gentamicin and Streptomycin), while 3 (13.64%) only were resistant to Macrolides (Erythromycin) and phenicols (Chloramphenicol).
Table 3
Frequency results of antibiotic resistance in L. monocytogenes isolates
Antibiotics group
|
Disc Antibiotic
(µg)
|
Stool
11
|
Blood
1
|
Urine
1
|
Vaginal
2
|
Placental bits
7
|
Total
22
|
β - Lactam
|
Penicillin G (10)
|
-
|
-
|
-
|
-
|
-
|
-
|
Amoxicillin (30)
|
-
|
-
|
-
|
-
|
-
|
-
|
Aminoglycosides
|
Gentamicin (10)
|
9 (81.82)
|
-
|
-
|
2 (100)
|
4 (57.14)
|
15 (68.18)
|
Streptomycin (10)
|
8 (72.73)
|
-
|
1 (100)
|
2 (100)
|
4 (57.14)
|
15 (68.18)
|
Fluroquinolons
|
Ciprofloxacin (5)
|
-
|
-
|
-
|
-
|
-
|
-
|
Levofloxacin (5)
|
-
|
-
|
-
|
-
|
-
|
-
|
Macrolides
|
Erythromycin (15)
|
2 (18.18)
|
-
|
-
|
1 (50)
|
-
|
3 (13.64)
|
Glycopeptides
|
Vancomycin (30)
|
-
|
-
|
-
|
-
|
-
|
-
|
Tetracycline’s
|
Tetracycline (30)
|
10 (90.91)
|
1 (100)
|
1 (100)
|
2 (100)
|
6 (85.71)
|
20 (90.91)
|
Doxycycline (30)
|
-
|
-
|
-
|
-
|
-
|
-
|
phenicols
|
Chloramphenicol (30)
|
2 (18.18)
|
-
|
-
|
1 (50)
|
-
|
3 (13.64)
|
Ansamycins
|
Rifampin (5)
|
4 (36.36)
|
-
|
1 (100)
|
-
|
-
|
5 (33.33)
|
Folate pathway inhibitor
|
Trimethoprim/sulfamethoxazole (1.25/23.75)
|
11 (100)
|
1 (100)
|
1 (100)
|
2 (100)
|
7 (100)
|
22 (100)
|
Also, 5 strains (33.33%) showed resistance to Ansamycins (Rifampin), 4 strains (36.36%) were isolated from stool samples and only 1 strain was isolated from vaginal samples (Fig. 1A). Among the samples resistant to Aminoglycosides, the strains isolated from stool had the highest distribution of resistance, so 81.82% resistance distribution was to Gentamicin and 72.73% to Streptomycin. The results showed that the strains isolated from stool had more resistance to antibiotics than other strains. Additionally, the L. monocytogenes strains that were isolated from the different samples were completely susceptible (100%) to β-Lactams (Penicillin-G and Amoxicillin), and Fluoroquinolones (Ciprofloxacin and Levofloxacin), Glycopeptides (Vancomycin), and Doxycycline (Fig. 1B). Virulence-associated genes and serovar identification
All 22 isolates from strains analyzed positive for the internalin A (inlA) gene, suggesting that they were all L. monocytogenes. In serotype-specific multiplex PCR, 13 (59.09 percent) isolates tested positive for the ORF2110 and ORF2819 genomes, revealing that they were all 4b serogroup (Table 2). 22 isolates of L. monocytogenes from samples were screened for the presence of virulence genes. All the 22 (100%) isolates from samples were positive for inlB, plcB, plcA, mpl and prfA genes. Similarly, 21 (95.45%) isolates were for hlyA, actA and iap gene (Table 4).
Table 4
Distribution of virulence genes in isolates of L. monocytogenes
Sample
|
LM strain
|
prfA
|
mpl
|
plcA
|
plcB
|
inlB
|
inlA
|
ptsA
|
llsX
|
iap
|
actA
|
hlyA
|
Stool
|
11
|
11
|
11
|
11
|
11
|
11
|
9 (81.81)
|
7 (36.64)
|
6 (54.55)
|
11
|
11
|
11
|
Blood
|
1
|
1
|
1
|
1
|
1
|
1
|
1
|
-
|
-
|
1
|
1
|
1
|
Urine
|
1
|
1
|
1
|
1
|
1
|
1
|
-
|
-
|
-
|
1
|
1
|
1
|
Vaginal
|
2
|
2
|
2
|
2
|
2
|
2
|
1
(50)
|
1
(50)
|
-
|
1
|
1
|
1
|
Placental bits
|
7
|
7
|
7
|
7
|
7
|
7
|
5 (71.43)
|
4 (57.14)
|
2 (28.57)
|
7
|
7
|
7
|
Total
|
22
|
22 (100)
|
22
|
22
|
22
|
22
|
16 (72.43)
|
12 (54.55)
|
8 (36.36)
|
21 (95.45)
|
21 (95.45)
|
21 (95.45)
|
The distribution of virulence genes llsX, ptsA, inlA was 8 (36.36%), 12 (54.55%) and 16 (72.43%), respectively. 100% of isolated bacteria have inlB, plcB, plcA, mpl, hlyA, actA, iap, prfA genes While only bacteria isolated from stool and placental bits had llsX, ptsA and inlA genes. The distribution of llsX, ptsA, and inlA genes in stool were 6 (%54.55), 7 (%36.64), and 9 (%81.81) respectively, while the distribution of llsX, ptsA, and inlA genes in placental bits was 2 (%28.57), 4 (%57.14), and 5 (%71.43) respectively (Fig. 2).
Multi-antibiotic-resistance and phenotypic antibiotic resistance profiles in L. monocytogenes
The resistance of different strains to different antibiotics was evaluated. According to the definition, bacterial strains that are resistant to at least 4 or more antibiotics are identified as MDR. In this study, LM1, LM2, and LM18 strains were resistant to more than 6 antibiotics, which indicates that these strains are MDR. In addition, the strains LM5, LM7, LM8, LM9, LM10, LM11, LM13, LM20, and LM22 were also resistant to at least 4 antibiotics. More than 50% of these resistant strains were isolated from stool samples (Table 5).
Table 5. Frequency results of multi-antibiotic-resistance in L. monocytogenes isolates
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)
Table 6 displays a histogram of the phenotypic profile of antimicrobial sensitivity, the presence of virulence genes, and the differences between each strain tested in the study. This tendency could be a reflection of the biological profile of the strains and demonstrate the efficacy of each drug against the specific strain. The number of L. monocytogenes strains that displayed morphological resistance to the different antibiotics examined varied from 1 to 22. In LM1, notably in strains isolated from Stool, high rates of antibiotic-resistant L. monocytogenes were detected. Additionally, the hlyA, actA, iap, llsX, ptsA, inlA, inlB, plcB, plcA, mpl, and prfA genes were fully (100%) expressed in the organisms with strong antibiotic resistance. The virulence genes llsX, ptsA, and inlA were not found in the bacteria with low resistance. These findings demonstrate a direct correlation between the rise in antibiotic resistance and the existence of the virulence genes llsX, ptsA, and inlA. The prevalence of virulence genes and strains of L. monocytogenes that exhibit phenotypical antibiotic resistance was shown to be correlated, according to the findings, statistically significantly (p < 0.01).
Table 6. Characteristics of each isolate of L. monocytogenes studied
Eric-, Rep- And Rapd-pcr Fingerprint Analysis
Four fingerprint profiles were produced by the ERIC-PCR of the genomic DNA from L. monocytogenes isolates in the samples. These profiles were made up of 6 to 14 bands with a base range of 240 to 1500. (Fig. 3A). While two of the stool isolates had the same fingerprint pattern, other isolates had ones that were quite close. Similar to this, all of the isolates had identical profiles, and one of them had one that was quite similar. Isolates from stool yielded 4 distinct fingerprint clusters in 80% which Main clusters were clusters A and B.
The REP-PCR of genomic DNA from L. monocytogenes from samples showed amplification ofmultiple DNA fragments (100 to 3000 base) and were made up of 6 to 12 bands (Fig. 3B). Likewise, the ERIC-profile of isolates from stool revealed identical to closely related fingerprints and while the remaining isolates had related to distinct fingerprints. Whereas isolates from Placental bits, Urine, and blood samples had similar to identical fingerprints, isolates from vaginal samples had identical but different fingerprints. No correlation in fingerprint profile between the isolates was observed.
The genomic DNA from L. monocytogenes samples amplified numerous DNA fragments (280 to 3000 base) in 3 to 4 bands using RAPD-PCR (Fig. 3C). Similar results were obtained for the ERIC- and REP-profiles of stool strains, whereas the other serotypes showed similar but unique fingerprints. While the fingerprints of the strains from placental parts, urine, and blood samples were almost the same, the fingerprints of the isolates from vaginal samples were the same yet different. There was no discernible link between the isolates' fingerprint profiles.
Comparing the information from the dendrograms that were investigated, which used the Rep-type, RAPD-type, and ERIC-type methodologies to count the bands, It was 12 − 6, 3–4, and 14 − 6, respectively, while the similarity for Rep-Type, RAPD-Type, and ERIC-Type was 100 − 53.80%, 96-54.30%, and 100 − 52.50%, respectively. Additionally, clusters A and B served as the main clusters for ERIC-Type, whereas clusters B and C served as the main cluster for RAPD-Type, and Rep-Type, respectively (Table 7).
Table 7
Comparison of the data of the studied dendrograms
|
ERIC-Type
|
RAPD-Type
|
Rep-Type
|
N.O. band
|
6–14
|
3–4
|
6–12
|
Size of band
|
240-1500bp
|
280-3000bp
|
100-3000bp
|
Similarity
|
52.50–100%
|
54.30–96%
|
53.80–100%
|
N.O. clusters in 80%
|
4
|
5
|
5
|
N.O. separate files
|
12
|
5
|
6
|
Total profile in 80%
|
16
|
10
|
11
|
Main cluster
|
A&B
|
B
|
C
|