scholarly journals Comparison of antimicrobial resistance in Gram negative bacteria isolated from effluents in coastal districts of Karnataka, India

2017 ◽  
Vol 07 (04) ◽  
pp. 016-020
Author(s):  
Juliet Roshini Mohan Raj ◽  
Rajeshwari Vittal ◽  
Santosh Kogaluru Shivakumaraswamy ◽  
Vijaya Kumar Deekshit ◽  
Indrani Karunasagar
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Industrial Effluents ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Cleaning Agents ◽  
Hospital Effluents ◽  
Antimicrobial Resistance Genes ◽  
Domestic Effluents ◽  
Different Sources

AbstractDownstream water systems provide for a conducive environment for horizontal gene transfer. The objective of this study was to determine the burden of antimicrobial resistance in waste water effluents from different sources and their impact on human health. Gram negative bacteria were isolated from 30 samples each of industrial, hospital and domestic effluents. The antimicrobial susceptibility of the 367 isolates from 90 effluent samples was determined by disc diffusion test and presence of antimicrobial resistance genes by polymerase chain reaction. Resistance to ampicillin was 62% in hospital effluents and was higher than that recorded for industrial and domestic effluents. While the highest percentage of resistance to tetracycline was observed in isolates from industrial effluents (42%) a low of 9.5% was observed in hospital effluents. Antimicrobial resistance determinants present on mobile genetic elements were observed in a small fraction (~10%) of the resistant isolates. The resistance profile of isolates in effluents reflect the practices of different industries. Resistant isolates in domestic effluents could be a reflection of the indiscriminate use of antibiotics andthat many of the contents of disinfectants and cleaning agents routinely used may contain structural analogs of antimicrobials used in therapy. Though by phenotypic test a higher prevalence of antimicrobial resistance was recorded the genotypic study revealed the prevalence to be low. This could be due to the limited number of antimicrobial resistance genes included in this study.

scholarly journals Zoo Animals as Reservoirs of Gram-Negative Bacteria Harboring Integrons and Antimicrobial Resistance Genes

2007 ◽  
Vol 73 (20) ◽  
pp. 6686-6690 ◽  
Author(s):  
Ashraf M. Ahmed ◽  
Yusuke Motoi ◽  
Maiko Sato ◽  
Akito Maruyama ◽  
Hitoshi Watanabe ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Antimicrobial Resistance Genes ◽  
Antimicrobial Resistance Gene ◽  
Class 1 ◽  
Zoo Animals ◽  
Hiroshima Prefecture ◽  
Lactamase Gene

ABSTRACT A total of 232 isolates of gram-negative bacteria were recovered from mammals, reptiles, and birds housed at Asa Zoological Park, Hiroshima prefecture, Japan. Forty-nine isolates (21.1%) showed multidrug resistance phenotypes and harbored at least one antimicrobial resistance gene. PCR and DNA sequencing identified class 1 and class 2 integrons and many β-lactamase-encoding genes, in addition to a novel AmpC β-lactamase gene, bla CMY-26. Furthermore, the plasmid-mediated quinolone resistance genes qnr and aac(6′)-Ib-cr were also identified.

scholarly journals Comparing BioFire FilmArray BCID2 and BCID panels for direct detection of bacterial pathogens and antimicrobial resistance genes from positive blood cultures

2021 ◽  
Author(s):  
Venere Cortazzo ◽  
Tiziana D’Inzeo ◽  
Liliana Giordano ◽  
Giulia Menchinelli ◽  
Flora Marzia Liotti ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Yeast Species ◽  
Bacterial Species ◽  
Blood Cultures ◽  
Gram Negative Bacteria ◽  
Gram Positive ◽  
Gram Negative ◽  
Gram Positive Bacteria ◽  
Antimicrobial Resistance Genes

Among molecular assays currently developed for detection and identification of pathogens (and their antimicrobial resistance genes) in positive blood cultures (BCs) (1), the BioFire FilmArray blood culture identification (BCID) panel (bioMérieux, Marcy l’Étoile, France)—a multiplex PCR assay with less than 2 minutes of hands-on time and a ∼1-hour turnaround time—allows syndromic diagnosis of bloodstream infection (BSI) (2, 3). Previously, the panel could identify 24 etiological agents of BSI (11 Gram-negative bacteria, 8 Gram-positive bacteria, and 5 yeast species), as well as three antimicrobial resistance genes (mecA, vanA/B, and blaKPC, which encodes Klebsiella pneumoniae carbapenemase). Now, the BioFire FilmArray BCID2 panel encompasses 43 molecular targets associated with BSI, including 15 Gram-negative bacteria, 11 Gram-positive bacteria, 7 yeast species, and 10 antimicrobial resistance genes (https://www.biomerieux-diagnostics.com/biofire-bcid-panel). The last targets include genes encoding for carbapenemases (IMP, KPC, OXA-48-like, NDM, and VIM), colistin resistance (mcr-1), ESBL (CTX-M), methicillin-resistance (mecA/C and, specifically for methicillin-resistant Staphylococcus aureus [MRSA], mecA/C and MREJ [mec right-extremity junction]), or vancomycin resistance (vanA/B). Unlike BCID, no published studies to date reported on the BCID2 performance. This study evaluated and compared the accuracy of BCID2 with that of BCID to identify bacterial species and relative antimicrobial resistance genes directly from positive BCs.

scholarly journals Antibiotic Resistance Profile and Resistance Determination of Bacteria Isolated from Water in Southern Benin

2021 ◽  
pp. 91-105
Author(s):  
Hornel Koudokpon ◽  
Victorien Dougnon ◽  
Christelle Lougbegnon ◽  
Esther Deguenon ◽  
Wassiyath Mousse ◽  
...  
Keyword(s):  
Drinking Water ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Water Samples ◽  
Meca Gene ◽  
Multidrug Resistant ◽  
Resistant Bacteria ◽  
Gram Negative ◽  
Antimicrobial Resistance Genes ◽  
Southern Benin

Background: The environment plays an important role in the dissemination of multidrug resistant bacteria, especially through the aquatic ecosystem, including hospital effluents, rivers, but also spring water and drinking water. This study aims to determine selected antimicrobial resistance genes in some aquatic matrices in southern Benin. Methods: Collected water samples were filtered through a membrane 0.22 µm thick. After filtration, the membrane was deposited on Muëller Hinton agar. Then the colonies resulting from this subculture were subjected to a microbiological examination by the conventional method. The antibiotic sensitivity test was carried out by the Kirby Bauer method according to the recommendations of the French Society of Microbiology. Resistance genes were looked for by PCR. Results: Of the 222 water samples collected, 265 bacterial strains were isolated, the majority of which were strains of Coagulase Negative Staphylococcus (CNS) with 37.74% (n = 100), followed by strains of Klebsiella pneumoniae (21.89%; n = 58), Escherichia coli (10.57%; n = 28). All isolated gram-negative bacilli strains are multidrug resistant with resistance of all strains to amoxicillin, ampicillin and amoxicillin + clavulanic acid. Of the 15 resistance genes searched in the genome of Gram-negative bacilli strains, 8 were detected, namely the TEM, SHV, CTX-M15, VIM, NDM, SUL1, SUL2 and AADA genes. Resistance of CNS strains to amoxicillin, oxacillin and cefoxitin was observed. The meca gene was detected in all CNS strains. The vanA and VanB genes were only detected in strains isolated from drinking water in sachets collected from producers and street sellers. Conclusion: These results show the dissemination of resistance genes in Benin and once again confirms the urgency of a global fight against antimicrobial resistance.

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