Environmental monitoring of bacterial contamination and antibiotic resistance patterns of the fecal coliforms isolated from Cauvery River, a major drinking water source in Karnataka, India

A total of 30 samples of butter analysed during the course of the investigation showed that fecal coliforms were absent from only 13.3% of samples. One hundred forty colonies of fecal coliforms were biochemically characterized with the following types obtained (Escherichia sp. 41.4%, Enterobacter sp. 25.7%, Citrobacter sp. 20%, Klebsiella sp. 10%). Five different serotypes, namely 0 125 K70(2), 0 142K86(1), 0 127K63(1), 0 114 K90(2), 0 111 K58(1) were detected in 7 of 58 Escherichia coli isolates and 51 strains were untypable. Three strains produced heat stable (ST) enterotoxin and belonged to the enteropathogenic serotype. The antibiotic resistance patterns of coliform strains are presented.

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Antibiotic resistance patterns of fecal coliforms isolated from domestic sewage before and after treatment in an aerobic lagoon

Canadian Journal of Microbiology ◽

10.1139/m78-147 ◽

1978 ◽

Vol 24 (7) ◽

pp. 886-888 ◽

Cited By ~ 22

Author(s):

R. B. Bell

Keyword(s):

Antibiotic Resistance ◽

Domestic Sewage ◽

Fecal Coliforms ◽

Bacterial Survival ◽

Fold Reduction ◽

Loss Of Resistance ◽

Significant Difference ◽

Before And After ◽

Resistance Patterns ◽

Antibiotic Resistance Patterns

The resistance of 260 strains of fecal coliforms, isolated from raw domestic sewage and aerobic lagoon effluent, to ampicillin, aureomycin. Chloromycetin, gentamicin, streptomycin, sulfadiazine, and tetracycline, was determined. Aerobic lagoon treatment produced a 20-fold reduction in the fecal coliform numbers. No statistically significant difference in antibiotic resistance was observed between the fecal coliforms found in raw sewage and in lagoon effluent despite a trend towards the loss of resistance in the latter. Antibiotic resistance, either single or multiple, did not contribute to, or detract from, bacterial survival in the aerobic lagoon. Of the isolates, 15% showed resistance to two or more antibiotics.

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Bacterial Contamination of Iranian Paper Currency and Their Antibiotic Resistance Patterns

International Journal of Enteric Pathogens ◽

10.15171/ijep.2017.25 ◽

2017 ◽

Vol 5 (4) ◽

pp. 106-110 ◽

Cited By ~ 1

Author(s):

Farzaneh Firoozeh ◽

Ehsan Dadgostar ◽

Hussein Akbari ◽

Mohammad Zibaei ◽

Seyed Mohammad Sadjjad Sadjjadian ◽

...

Keyword(s):

Antibiotic Resistance ◽

Bacterial Contamination ◽

Diffusion Method ◽

Coagulase Negative Staphylococci ◽

Disk Diffusion Method ◽

Paper Currency ◽

Microbiological Methods ◽

Resistance Patterns ◽

Resistance Rates ◽

Antibiotic Resistance Patterns

Background: Paper banknotes would be a vector for transmission of pathogenic microorganisms through handling. Objective: This study aimed to determine bacterial contamination of Iranian paper currencies in circulation and their antibiotic resistance patterns. Materials and Methods: In this study, 337 currency notes of different value were collected from markets, shops, restaurants, bus stations and banks in Kashan, Iran during April 2015 to March 2016. The currency notes transferred to microbiology laboratory and were tested for bacterial contamination using standard microbiological methods. Antibiotic resistance patterns of isolated bacteria were determined by disk diffusion method according to the Clinical and Laboratory Standards Institute (CLSI) standards. The results and data were analyzed using descriptive statistics. Results: Of 337 currency notes, 262 (77.7%) were identified with bacterial contamination. Bacteria isolated from currency notes were as follows: Bacillus spp 113 (43.1%), coagulase-negative staphylococci 99 (37.7%), Escherichia coli 20 (7.6%), Enterococci species 14 (5.3%), Staphylococcus aureus 8 (3.1%), Klebsiella spp 4 (1.5%), Shigella species 2 (0.8%), and Pseudomonas species 2 (0.8%). The most and least contaminated currency notes were 50000 and 500 Rials, respectively. The highest resistance rates in gram-negative rods were against nalidixic acid, and ampicillin. However, the highest resistance rates in S. aureus, coagulase-negative staphylococci and Enterococci species were against ampicillin, erythromycin and tetracycline. Conclusion: Our study revealed that the bacterial contamination among Iranian paper currency in circulation especially those obtained from certain sources including shops and bus stations is high and in most cases these bacterial isolates are antibiotic-resistant strains.

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Classification of Antibiotic Resistance Patterns of Indicator Bacteria by Discriminant Analysis: Use in Predicting the Source of Fecal Contamination in Subtropical Waters

Applied and Environmental Microbiology ◽

10.1128/aem.66.9.3698-3704.2000 ◽

2000 ◽

Vol 66 (9) ◽

pp. 3698-3704 ◽

Cited By ~ 218

Author(s):

Valerie J. Harwood ◽

John Whitlock ◽

Victoria Withington

Keyword(s):

Antibiotic Resistance ◽

Discriminant Analysis ◽

Surface Waters ◽

Fecal Coliform ◽

Indicator Bacteria ◽

Fecal Coliforms ◽

Fecal Streptococci ◽

Resistance Patterns ◽

Antibiotic Resistance Patterns ◽

Animal Feces

ABSTRACT The antibiotic resistance patterns of fecal streptococci and fecal coliforms isolated from domestic wastewater and animal feces were determined using a battery of antibiotics (amoxicillin, ampicillin, cephalothin, chlortetracycline, oxytetracycline, tetracycline, erythromycin, streptomycin, and vancomycin) at four concentrations each. The sources of animal feces included wild birds, cattle, chickens, dogs, pigs, and raccoons. Antibiotic resistance patterns of fecal streptococci and fecal coliforms from known sources were grouped into two separate databases, and discriminant analysis of these patterns was used to establish the relationship between the antibiotic resistance patterns and the bacterial source. The fecal streptococcus and fecal coliform databases classified isolates from known sources with similar accuracies. The average rate of correct classification for the fecal streptococcus database was 62.3%, and that for the fecal coliform database was 63.9%. The sources of fecal streptococci and fecal coliforms isolated from surface waters were identified by discriminant analysis of their antibiotic resistance patterns. Both databases identified the source of indicator bacteria isolated from surface waters directly impacted by septic tank discharges as human. At sample sites selected for relatively low anthropogenic impact, the dominant sources of indicator bacteria were identified as various animals. The antibiotic resistance analysis technique promises to be a useful tool in assessing sources of fecal contamination in subtropical waters, such as those in Florida.

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