Spread of Multidrug Resistance through Mobile Genetic Elements in Dairy Products

Various food and water sources contain antibiotic resistant microbiota. In this study, the resistance rate of antibiotics in bacteria isolated from food and water sources was checked. Promising isolates were identified as Bacillus safensis (MK934485), Pseudomonas putida (MK934486), Pseudomonas spp. (MK934484), Escherichia coli (MW713177, MW692366), Klebsiella spp. (MW713441). Nine antibiotics were used to check resistance patterns of isolated strains. Resistance pattern observed high to low was Ampicillin (100%), Cefotaxime (82%), Ceftazidime (76%), Augmentin (52%), Cefixime (64%), Meropenem (17%). Escherichia coli showed resistance against Amoxicillin, Meropenem, Clarithromycin, Cefoxitin, and Cefuroxime. Klebsiella spp. were resistant against Cefuroxime, Cefoxitin, Clarithromycin, Meropenem and Amoxicillin.Strains showed MIC at 1000µg/ml of ampicillin. 20% isolates showed MIC at 300µg/ml of tetracycline. For streptomycin, 1000µg/ml MIC was calculated by 50% isolates. Detection forintI1 and Amp genes in the multidrug resistant bacteria, Pseudomonas spp., Escherichia coli and Klebsiella spp. showed the presence of class 1 integron. Gene intI1 from E. coli was found to have conserved domains of integrase. Results indicate that cycling of such pathogen through food is very common and poses a potential health risk to the consumer. Hence, precautionary measures are necessary to halt the progression of antibiotic resistance.

Authors

Institutions

Publication Details

Journal
Pakistan Journal of Science
Published
2024-09-15
DOI
https://doi.org/10.57041/vol76iss03pp521-529
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spread of Multidrug Resistance through Mobile Genetic Elements in Dairy Products

Nazia Jamil, Rida Batool, Sana Batool, Sheeza Ramzan
Pakistan Journal of Science
Bacteriophages and microbial interactions
article

Spread of Multidrug Resistance through Mobile Genetic Elements in Dairy Products

Nazia Jamil, Rida Batool, Sana Batool, Sheeza Ramzan
article en

Abstract

Various food and water sources contain antibiotic resistant microbiota. In this study, the resistance rate of antibiotics in bacteria isolated from food and water sources was checked. Promising isolates were identified as Bacillus safensis (MK934485), Pseudomonas putida (MK934486), Pseudomonas spp. (MK934484), Escherichia coli (MW713177, MW692366), Klebsiella spp. (MW713441). Nine antibiotics were used to check resistance patterns of isolated strains. Resistance pattern observed high to low was Ampicillin (100%), Cefotaxime (82%), Ceftazidime (76%), Augmentin (52%), Cefixime (64%), Meropenem (17%). Escherichia coli showed resistance against Amoxicillin, Meropenem, Clarithromycin, Cefoxitin, and Cefuroxime. Klebsiella spp. were resistant against Cefuroxime, Cefoxitin, Clarithromycin, Meropenem and Amoxicillin.Strains showed MIC at 1000µg/ml of ampicillin. 20% isolates showed MIC at 300µg/ml of tetracycline. For streptomycin, 1000µg/ml MIC was calculated by 50% isolates. Detection forintI1 and Amp genes in the multidrug resistant bacteria, Pseudomonas spp., Escherichia coli and Klebsiella spp. showed the presence of class 1 integron. Gene intI1 from E. coli was found to have conserved domains of integrase. Results indicate that cycling of such pathogen through food is very common and poses a potential health risk to the consumer. Hence, precautionary measures are necessary to halt the progression of antibiotic resistance.

Pakistan Journal of ScienceVol. 76(03)
University of the Punjab (PK)
Clean water and sanitation
Openalex Percentile: Top 75%
Bacteriophages and microbial interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.