scholarly journals Distribution and Antibiotic Susceptibility Profiles of Vibrio Species Isolated from Selected Abattoirs in Akoko South-West, Ondo State, Nigeria

2021 ◽  
pp. 25-29
Author(s):  
Osunla Charles Ayodeji
2019 ◽  
Author(s):  
Adenike Enikuomehin ◽  
Oludamola Adejumo ◽  
John Ajiboye ◽  
Oladimeji Junaid ◽  
Fakhraddeen Muhammad ◽  
...  

2019 ◽  
Vol 79 (4) ◽  
pp. 555-565 ◽  
Author(s):  
A. F. G. Rave ◽  
A. V. Kuss ◽  
G. H. S. Peil ◽  
S. R. Ladeira ◽  
J. P. V. Villarreal ◽  
...  

Abstract Different methodologies have been developed throughout the years to identify environmental microorganisms to improve bioremediation techniques, determine susceptibility profiles of bacteria in contaminated environments, and reduce the impact of microorganisms in ecosystems. Two methods of bacterial biochemical identification are compared and the susceptibility profile of bacteria, isolated from residential and industrial wastewater, is determined. Twenty-four bacteria were retrieved from the bacteria bank of the Environmental Microbiology Laboratory at the Institute of Biology (IB) of the Universidade Federal de Pelotas, Pelotas, Brazil. Bacteria were identified by conventional biochemical tests and by the VITEK ®2 automated system. Further, the susceptibility profile to antibiotics was also determined by the automated system. Six species of bacteria (Raoutella planticola, K. pneumoniae ssp. pneumoniae , Serratia marcescens, Raoutella sp., E. cloacae and Klebsiella oxytoca) were identified by conventional biochemical tests, while three species of bacteria (K. pneumoniae ssp. pneumoniae, S. marcescens and K. oxytoca ) were identified by VITEK®2 automated system. VITEK ®2 indicated agreement in 19 (79.17%) isolates and difference in five (20.83%) isolates when compared to results from conventional biochemical tests. Further, antibiotic susceptibility profile results showed that all isolates (100%) were resistant to at least one out of the 18 antibiotics tested by VITEK®2. Thus, no multi-resistant bacteria that may be used in effluent treatment systems or in bioremediation processes have been reported. Results indicate VITEK ® 2 automated system as a potential methodology in the determination of susceptibility profile and identification of environmental bacteria.


2018 ◽  
Vol 12 (02.1) ◽  
pp. 6S
Author(s):  
Rayane Rafei ◽  
Imad Al Kassaa ◽  
Marwan Osman ◽  
Fouad Dabboussi ◽  
Monzer Hamze

Introduction: Bacteria of Aeromonas genus are ubiquitous organisms in aquatic environments. This work aims to explore the presence of four clinically relevant species in Lebanese waters and to study their susceptibility to antibiotics. Methods: One hundred water samples are collected in northern Lebanon from different sources (river, springs, wells, ponds, sea, chlorinated water and sewage) and analyzed by culture methods. The isolates were identified at genus level by a PCR assay targeting gcat gene. The presence of four species (A. hydrophila, A. caviae, A. media and A. veronii) was investigated by a multiplex PCR. The antibiotic susceptibility was also studied. Results: Aeromonas spp. was detected in 28% of investigated samples. In total, 38 isolates were identified as Aeromonas spp (10 out of 7 river water samples, 9 out of 35 spring, 9 among 26 wells, 5 out of 4 sewage samples, 2 out of 5 ponds, 2 out of 8 seawater samples and 1 out of 15 chlorinated water samples). Aeromonas hydrophila was the predominant species (19 isolates; 50%). The 3 other species were found to a lesser extent: A. caviae (3 isolates; 7.9%), A. veronii (2 isolates; 5.3%) and A. media (2 isolates; 5.3%). 12 other isolates (31.5%) remained unidentified by the used multiplex PCR technique. All isolates were resistant to more than one antibiotic. The most common resistance concerned beta-lactams. Conclusion: This study has highlighted the interesting distribution of these species in aquatic biotopes in Lebanon and the threat of potential transmission of these resistant strains to humans.


2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Dénes Grózner ◽  
Zsuzsa Kreizinger ◽  
Kinga M. Sulyok ◽  
Zsuzsanna Rónai ◽  
Veronika Hrivnák ◽  
...  

Author(s):  
Sanjana Mukherjee ◽  
Heather M. Blankenship ◽  
Jose A. Rodrigues ◽  
Rebekah E. Mosci ◽  
James T. Rudrik ◽  
...  

Background: Shiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen that contributes to over 250,000 infections in the US each year. Because antibiotics are not recommended for STEC infections, resistance in STEC has not been widely researched despite an increased likelihood for the transfer of resistance gene from STEC to opportunistic pathogens residing within the same microbial community. Methods: Between 2001 and 2014, 969 STEC isolates were collected from Michigan patients. Serotyping and antibiotic susceptibility profiles to clinically relevant antibiotics were determined using disc diffusion, while epidemiological data was used to identify factors associated with resistance. Whole genome sequencing was used to examine genetic relatedness and identify genetic determinants and mechanisms of resistance in the non-O157 isolates. Results: Increasing frequencies of resistance to at least one antibiotic was observed over the 14 years (p=0.01). While the non-O157 serogroups were more commonly resistant than O157 (Odds Ratio: 2.4; 95% Confidence Interval:1.43-4.05), the frequency of ampicillin resistance among O157 isolates was significantly higher in Michigan compared to the national average (p=0.03). Genomic analysis of 321 non-O157 isolates uncovered 32 distinct antibiotic resistance genes (ARGs). Although mutations in genes encoding resistance to ciprofloxacin and ampicillin were detected in four isolates, most of the horizontally acquired ARGs conferred resistance to aminoglycosides, β-lactams, sulfonamides and/or tetracycline. Conclusions: This study provides insight into the mechanisms of resistance in a large collection of clinical non-O157 STEC isolates and demonstrates that antibiotic resistance among all STEC serogroups has increased over time, prompting the need for enhanced surveillance.


2009 ◽  
Vol 2 (2) ◽  
pp. 36-49 ◽  
Author(s):  
A. Sharma ◽  
C.R. Bora ◽  
R.K. Chaurasia ◽  
Vandana Sahu

2012 ◽  
Vol 11 (6) ◽  
pp. 536-540 ◽  
Author(s):  
A.W. Ashiru ◽  
P.O. Uaboi-Egbe ◽  
A.K. Odunlade ◽  
O.O. Ashade ◽  
T.M. Oyegoke ◽  
...  

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