scholarly journals Low rates of enteric pathogenic bacteria and resistance gene carriage in the sheltered homeless population in Marseille, France

2020 ◽  
Author(s):  
Tran Duc Anh Ly ◽  
Linda Hadjadj ◽  
van Thuan Hoang ◽  
Ndiaw Goumbala ◽  
Thi Loi Dao ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Real Time ◽  
Resistance Gene ◽  
Resistance Genes ◽  
Pathogenic Bacteria ◽  
Enteric Bacteria ◽  
Homeless Persons ◽  
Chain Reaction ◽  
Polymerase Chain

We aimed to assess the prevalence of pathogenic bacteria and resistance genes in rectal samples collected among homeless persons in Marseille, France. In February 2014 we enrolled 114 sheltered homeless adults who completed questionnaires and had rectal samples collected. Eight types of enteric bacteria and 15 antibiotic resistance genes (ARGs) were sought by real-time polymerase chain reaction (qPCR) performed directly on rectal samples. ARG-positive samples were further tested by conventional PCR and sequencing. We evidenced a 17.5% prevalence of gastrointestinal symptoms, a 9.6% DNA-prevalence of enteric bacteria carriage, including Escherichia coli pathotypes (8.7%) and Tropheryma whipplei (0.9%). Only 2 persons carried blaCTX-M-15 resistance genes (1.8%), while other genes, including carbapenemase-encoding genes and colistin-resistance genes, (mcr-1 to mcr-6, mcr-8) were not detected. Our results suggest that sheltered homeless persons in Marseille do not have a high risk of harbouring gastrointestinal antibiotic resistant bacteria. Keywords: antibiotic resistance gene; enteric bacteria; homeless; real-time polymerase chain reaction (qPCR)

scholarly journals Transferring of Lactobacillus antibiotic resistant genes to Salmonella

2021 ◽  
pp. 145-151
Author(s):  
Muhammad Ashraf ◽  
Sajjad-ur- Rahman ◽  
Muhammad Jawad Bashir ◽  
Rizwan Aslam ◽  
Sultan Ali ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Real Time ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Growth Promoters ◽  
Chain Reaction ◽  
Antibiotic Resistant ◽  
Polymerase Chain

Antibiotic resistance is a worldwide issue and becoming more problematic due to extensive misuse of antibiotics. The present study was aimed to analyze role of Lactobacillus in transmission of antibiotic resistance genes (tetM, ermB, sul2) to Salmonella and verification of these genes by real time polymerase chain reaction. A total of thirty fecal samples (15 were indigenous and 15 were broilers) were collected and analyzed by real time polymerase chain reaction. The results indicated that there was high expression of antibiotic resistance genes in Lactobacillus in case of broiler chicken than indigenous ones indicating Lactobacillus as a reservoir of antibiotic resistance genes but found to be non-significant in transferring these genes to Salmonella. In conclusion, the excessive use of animal growth promoters in poultry assists in acquisition of antibiotic resistance genes by normal micro-biota. Keywords: Broiler, Non-significant, Antibiotic resistance, Real time polymerase chain

THE DETECTION OF THE GENUS LISTERIA PATHOGENIC BACTERIA BY REAL-TIME POLYMERASE CHAIN REACTION

2020 ◽  
pp. 117-125
Author(s):  
Elena V. Sokolova ◽  
Ekaterina K. Psareva ◽  
Irina Yu. Egorova ◽  
Pavel A. Zhurilov ◽  
Evgeny A. Potemkin ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Real Time ◽  
Pathogenic Bacteria ◽  
Chain Reaction ◽  
Polymerase Chain

scholarly journals Detection and Profiling of Antibiotic Resistance among Culturable Bacterial Isolates in Vended Food and Soil Samples

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Susan W. Muriuki ◽  
Johnstone O. Neondo ◽  
Nancy L. M. Budambula
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Risk Group ◽  
Antibiotic Resistance Genes ◽  
Soil Samples ◽  
Bacterial Isolates ◽  
Chain Reaction ◽  
Antibiotic Resistant ◽  
Polymerase Chain

The emergence and persistence of antibiotic resistance remain formidable health challenges. This study aimed at detecting and profiling antibiotic resistance of bacterial contaminants in vended food and the environment. Seventy antibiotic-resistant bacterial isolates were isolated from fried fish, African sausages, roasted meat, smokies, samosa, chips (potato fries), vegetable salads, and soil samples collected from Embu Town and Kangaru Market in Embu County, Kenya. The antibiotic susceptibility test, morphological and biochemical characterization, antibiosis assay, polymerase chain reaction-based detection of antibiotic resistance genes, and sequencing of the 16S rRNA gene were done. Analysis of variance on all measured data was done, and Tukey’s honest test was used to compare and separate mean diameters of zones inhibition. Resistance of bacterial isolates to antibiotics was chloramphenicol (90%), cefotaxime (84.29%), nalidixic acid (81.43%), tetracycline (77.14%), amoxicillin (72.86%), gentamycin (48.57%), streptomycin (32.86%), and trimethoprim + sulphamethoxazole (30%). Isolate KMP337, Salmonella spp., exhibited highly significant antibiosis against S. aureus recording a mean inhibition diameter and standard error (SE) of 16.33 ± 0.88 mm, respectively, at P=0.001. The 70 bacterial isolates belonged to Bacillus, Paraclostridium, Lysinibacillus, Virgibacillus, and Serratia genera. The study isolated Bacillus wiedmannii (KC75) which is a risk group 2 as well as Serratia marcescens (KMP95) and Bacillus anthracis (KS606) which are risk group 3 organisms. The presence of antibiotic resistance genes Tet A, BlaTEM, StrB, Dfr A, Amp, and FloR genes was confirmed by a polymerase chain reaction. Samples from Kangaru Market recorded a higher (88.57%) proportion of resistant isolates as compared to isolates from Embu Town (11.43%). The study confirmed the presence of antibiotic-resistant bacteria in vended fast food and the soil in Embu Town and Kangaru Market. This study calls for continuous monitoring of bacterial status and hygienic handling of vended food.

Culture-independent quantification of pathogenic bacteria in spices and herbs using real-time polymerase chain reaction

Food Control ◽  
2018 ◽  
Vol 83 ◽  
pp. 85-89 ◽  
Author(s):  
Jana Minarovičová ◽  
Tereza Cabicarová ◽  
Eva Kaclíková ◽  
Anneluise Mader ◽  
Janka Lopašovská ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Real Time ◽  
Pathogenic Bacteria ◽  
Chain Reaction ◽  
Culture Independent ◽  
Polymerase Chain

scholarly journals Rapid Real-Time Polymerase Chain Reaction for Salmonella Serotyping Based on Novel Unique Gene Markers by Pangenome Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Seung-Min Yang ◽  
Eiseul Kim ◽  
Dayoung Kim ◽  
Hyeon-Be Kim ◽  
Jiwon Baek ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Real Time ◽  
Real Time Pcr ◽  
Pathogenic Bacteria ◽  
Specific Gene ◽  
Chain Reaction ◽  
Gene Markers ◽  
Unique Gene ◽  
High Prevalence ◽  
Polymerase Chain

An accurate diagnostic method for Salmonella serovars is fundamental to preventing the spread of associated diseases. A diagnostic polymerase chain reaction (PCR)-based method has proven to be an effective tool for detecting pathogenic bacteria. However, the gene markers currently used in real-time PCR to detect Salmonella serovars have low specificity and are developed for only a few serovars. Therefore, in this study, we explored the novel unique gene markers for 60 serovars that share similar antigenic formulas and show high prevalence using pangenome analysis and developed a real-time PCR to detect them. Before exploring gene markers, the 535 Salmonella genomes were evaluated, and some genomes had serovars different from the designated serovar information. Based on these analyses, serovar-specific gene markers were explored. These markers were identified as genes present in all strains of target serovar genomes but absent in strains of other serovar genomes. Serovar-specific primer pairs were designed from the gene markers, and a real-time PCR method that can distinguish between 60 of the most common Salmonella serovars in a single 96-well plate assay was developed. As a result, real-time PCR showed 100% specificity for 199 Salmonella and 29 non-Salmonella strains. Subsequently, the method developed was applied successfully to both strains with identified serovars and an unknown strain, demonstrating that real-time PCR can accurately detect serovars of strains compared with traditional serotyping methods, such as antisera agglutination. Therefore, our method enables rapid and economical Salmonella serotyping compared with the traditional serotyping method.

scholarly journals Detection of selected antibiotic resistance genes using multiplex PCR assay in mastitis pathogens in the Czech Republic

2017 ◽  
Vol 86 (2) ◽  
pp. 167-174 ◽  
Author(s):  
Vladimir Pyatov ◽  
Irena Vrtková ◽  
Aleš Knoll
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Czech Republic ◽  
Resistance Genes ◽  
Multiplex Polymerase Chain Reaction ◽  
Antibiotic Resistance Genes ◽  
Chain Reaction ◽  
The Czech Republic ◽  
Polymerase Chain ◽  
Mastitis Pathogens

The aim of this research was to develop multiplex polymerase chain reaction assays for the detection of aminoglycoside (strA, strB), sulphonamide (sulI, sulII), tetracycline (tetA, tetB, tetK, tetM, tetO), macrolide and lincosamide (msrA, ermA, ermB, ermC, mefA/E) genes of resistance in mastitis pathogens (Escherichia coli, Staphylococcus aureus, Streptococcus uberis, Streptococcus agalactiae and Streptococcus dysgalactiae). Applying the established assays, we investigated the distribution of antibiotic resistance genes in the above mentioned species isolated from milk samples in the Czech Republic. Each assay consisted of seven pairs of primers. Six of them amplified fragments of antibiotic resistance genes and one pair a fragment of a species specific gene. Polymerase chain reaction conditions were optimized to amplify seven gene fragments simultaneously in one reaction. In total, 249 isolates were used, among which 111 were positive for E. coli, 52 for S. aureus and 86 for Streptococcus spp. The majority (60.2%) of bacteria carried at least one antibiotic resistance gene and 44.6% were multidrug-resistant. The designed multiplex polymerase chain reaction assays may be applied as diagnostic method to replace or complement standard techniques of antibiotic susceptibility testing in the mentioned pathogens.

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