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.

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

scholarly journals Isolation and Antibiotic Resistant Research of Tetragenococcus halophilus from Xuanwei Ham, A China High-Salt-Fermented Meat Products

Antibiotics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 151
Author(s):  
Yinjiao Li ◽  
Luying Shan ◽  
Chen Zhang ◽  
Zhan Lei ◽  
Ying Shang
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Safety Assessment ◽  
Meat Products ◽  
Antibiotic Resistance Genes ◽  
Chain Reaction ◽  
Detection Rates ◽  
Antibiotic Resistant ◽  
Tetragenococcus Halophilus ◽  
Polymerase Chain

We assessed the prevalence of antibiotic resistant and antibiotic resistance genes for 49 Tetragenococcus halophilus (T. halophilus) strains isolated from Xuawei ham in China. The antibiotic resistance phenotype was detected by the Bauer–Kirby (K–B) method and the results showed that 49 isolates can be considered completely susceptible to penicillin, ampicillin, amoxicillin, cefradine, cefotaxime, tetracyclines, minocycline, doxycycline, and vancomycin, but resistant to gentamicin, streptomycin, neomycin, polymyxinB, cotrimoxazole. This resistance was sufficiently high to consider the potential for acquisition of transmissible determinants. A total of 32 isolates were resistant to ofloxacin, 4 isolates were resistant to ciprofloxacin and chloramphenicol, and 2 isolates were resistant to ceftazidime and ticarcillin. The antibiotic resistance genes were detected by routine polymerase chain reaction (PCR). Among the 26 antibiotic resistance genes, 5 varieties of antibiotic resistance genes, including acrB, blaTEM, AAda1, SulII, and GyrB were detected and the detection rates were 89.79%, 47.7%, 16.33%, 77.55%, and 75.51%, respectively. The potential acquisition of transmissible determinants for antibiotic resistance and antibiotic resistance genes identified in this study necessitate the need for a thorough antibiotic resistance safety assessment of T. halophilus before it can be considered for use in food fermentation processes.

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.

scholarly journals Competitiveness of Quantitative Polymerase Chain Reaction (qPCR) and Droplet Digital Polymerase Chain Reaction (ddPCR) Technologies, with a Particular Focus on Detection of Antibiotic Resistance Genes (ARGs)

2021 ◽  
Vol 1 (3) ◽  
pp. 426-444
Author(s):  
Sol Park ◽  
Anita Rana ◽  
Way Sung ◽  
Mariya Munir
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Quantitative Polymerase Chain Reaction ◽  
Antibiotic Resistance Genes ◽  
Chain Reaction ◽  
Viral Infectious Disease ◽  
Pcr Method ◽  
Polymerase Chain ◽  
Digital Polymerase Chain Reaction

With fast-growing polymerase chain reaction (PCR) technologies and various application methods, the technique has benefited science and medical fields. While having strengths and limitations on each technology, there are not many studies comparing the efficiency and specificity of PCR technologies. The objective of this review is to summarize a large amount of scattered information on PCR technologies focused on the two majorly used technologies: qPCR (quantitative polymerase chain reaction) and ddPCR (droplet-digital polymerase chain reaction). Here we analyze and compare the two methods for (1) efficiency, (2) range of detection and limitations under different disciplines and gene targets, (3) optimization, and (4) status on antibiotic resistance genes (ARGs) analysis. It has been identified that the range of detection and quantification limit varies depending on the PCR method and the type of sample. Careful optimization of target gene analysis is essential for building robust analysis for both qPCR and ddPCR. In our era where mutation of genes may lead to a pandemic of viral infectious disease or antibiotic resistance-induced health threats, this study hopes to set guidelines for meticulous detection, quantification, and analysis to help future prevention and protection of global health, the economy, and ecosystems.

scholarly journals Predicting Antibiotic Resistance in Gram-Negative Bacilli from Resistance Genes

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
G. Terrance Walker ◽  
Julia Quan ◽  
Stephen G. Higgins ◽  
Nikhil Toraskar ◽  
Weizhong Chang ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Unknown Origin ◽  
Bacterial Isolates ◽  
Antibiotic Resistant ◽  
Predictive Values ◽  
Content Type ◽  
Phenotypic Resistance ◽  
E Coli

ABSTRACT We developed a rapid high-throughput PCR test and evaluated highly antibiotic-resistant clinical isolates of Escherichia coli (n = 2,919), Klebsiella pneumoniae (n = 1,974), Proteus mirabilis (n = 1,150), and Pseudomonas aeruginosa (n = 1,484) for several antibiotic resistance genes for comparison with phenotypic resistance across penicillins, cephalosporins, carbapenems, aminoglycosides, trimethoprim-sulfamethoxazole, fluoroquinolones, and macrolides. The isolates originated from hospitals in North America (34%), Europe (23%), Asia (13%), South America (12%), Africa (7%), or Oceania (1%) or were of unknown origin (9%). We developed statistical methods to predict phenotypic resistance from resistance genes for 49 antibiotic-organism combinations, including gentamicin, tobramycin, ciprofloxacin, levofloxacin, trimethoprim-sulfamethoxazole, ertapenem, imipenem, cefazolin, cefepime, cefotaxime, ceftazidime, ceftriaxone, ampicillin, and aztreonam. Average positive predictive values for genotypic prediction of phenotypic resistance were 91% for E. coli, 93% for K. pneumoniae, 87% for P. mirabilis, and 92% for P. aeruginosa across the various antibiotics for this highly resistant cohort of bacterial isolates.

scholarly journals Molecular Epidemiology of Antibiotic-Resistant Escherichia coli from Farm-to-Fork in Intensive Poultry Production in KwaZulu-Natal, South Africa

Antibiotics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 850
Author(s):  
Katherine S. McIver ◽  
Daniel Gyamfi Amoako ◽  
Akebe Luther King Abia ◽  
Linda A. Bester ◽  
Hafizah Y. Chenia ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
South Africa ◽  
Polymerase Chain Reaction ◽  
Molecular Epidemiology ◽  
Resistance Genes ◽  
Chain Reaction ◽  
Antibiotic Resistant ◽  
E Coli ◽  
Kwazulu Natal ◽  
Polymerase Chain

The increased use of antibiotics in food animals has resulted in the selection of drug-resistant bacteria across the farm-to-fork continuum. This study aimed to investigate the molecular epidemiology of antibiotic-resistant Escherichia coli from intensively produced poultry in the uMgungundlovu District, KwaZulu-Natal, South Africa. Samples were collected weekly between August and September 2017 from hatching to final retail products. E. coli was isolated on eosin methylene blue agar, identified biochemically, and confirmed using polymerase chain reaction (PCR). Susceptibility to 19 antibiotics was ascertained by the Kirby–Bauer disc diffusion method. PCR was used to test for resistance genes. The clonal similarity was investigated using enterobacterial repetitive intergenic consensus polymerase chain reaction (ERIC-PCR). In total, 266 E. coli isolates were obtained from all the samples, with 67.3% being non-susceptible to at least one antibiotic tested and 6.7% multidrug resistant. The highest non-susceptibility was to ampicillin (48.1%) and the lowest non-susceptibility to ceftriaxone and azithromycin (0.8%). Significant non-susceptibility was observed to tetracycline (27.4%), nalidixic acid (20.3%), trimethoprim-sulfamethoxazole (13.9%), and chloramphenicol (11.7%) which have homologues used in the poultry industry. The most frequently observed resistance genes were blaCTX-M (100%), sul1 (80%), tetA (77%), and tetB (71%). ERIC-PCR grouped isolates into 27 clusters suggesting the spread of diverse clones across the farm-to-fork continuum. This reiterates the role of intensive poultry farming as a reservoir and a potential vehicle for the transmission of antibiotic resistance, with potentially severe public health implications, thus, requiring prompt and careful mitigation measures to protect human and environmental health.

scholarly journals Molecular Level Investigation of Staphylococci’s Resistance Mechanisms to Antibiotics

2017 ◽  
Vol 9 (3) ◽  
pp. 307-314
Author(s):  
Lavinia Lorena PRUTEANU ◽  
Lorentz JÄNTSCHI ◽  
Cornelia CRĂCIUNAȘ
Keyword(s):  
Polymerase Chain Reaction ◽  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Molecular Level ◽  
Resistance Mechanisms ◽  
Bacterial Strains ◽  
Beta Lactams ◽  
Chain Reaction ◽  
Pathogenic Activity ◽  
Polymerase Chain

Polymerase chain reaction (PCR ) techniques development allows elaboration of many assays for identification of bacteria’s resistance mechanisms to antibiotics.  Following this idea, the results of molecular level investigation of bacteria’s resistance mechanisms to antibiotics may give many opportunities to find more rapid methods for identifying the genes which are responsible for antibiotic resistance induction. The aim of this study was to investigate antibiotic resistance genes in Staphylococcus bacteria on molecular level. As classes of antibiotics it was used macrolides-lincosamides-streptogramin B (MLSB) and beta-lactams. In the proposed study the bacterial strains are represented by 50 isolates of Staphylococcus. The bacterial strains were analyzed using polymerase chain reaction to identify the nuc, tuf, tst, sea, pathogenic activity genes. After this, the bacteria were tested for ermA, ermB, ermC genes and for mecA, femA which are involved in resistance to macrolides, lincosamides, streptogramin B and to beta-lactams, respectively. The presence or the absence of these genes confirms that tested strains are resistant to specific antibiotic or not. Bacteria pathogenic activity was emphasized by genes as follows: sea (enterotoxin) which was found at all isolates, tst (toxic shock toxin) gene was not detected in any of isolates and tuf gene (elongation factor) was obtained with one pair of primers. Resistance to beta-lactams was evidenced by the presence of mecA in all isolates and femA in some strains. Each of ermC, ermA and ermB, macrolides-lincosamides-streptogramin B resistance genes, were detected.

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